Engineering Improved Photosynthesis in the Era of Synthetic Biology

Engineering Improved Photosynthesis in the Era of Synthetic Biology

Journal Pre-proof Engineering Improved Photosynthesis in the Era of Synthetic Biology Willian Batista-Silva, Paula da Fonseca-Pereira, Auxiliadora Oli...

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Journal Pre-proof Engineering Improved Photosynthesis in the Era of Synthetic Biology Willian Batista-Silva, Paula da Fonseca-Pereira, Auxiliadora Oliveira Martins, Agustín Zsögön, Adriano Nunes-Nesi, Wagner L. Araújo PII:

S2590-3462(20)30013-4

DOI:

https://doi.org/10.1016/j.xplc.2020.100032

Reference:

XPLC 100032

To appear in:

PLANT COMMUNICATIONS

Please cite this article as: Batista-Silva, W., da Fonseca-Pereira, P., Martins, A.O., Zsögön, A., NunesNesi, A., Araújo, W.L., Engineering Improved Photosynthesis in the Era of Synthetic Biology, PLANT COMMUNICATIONS (2020), doi: https://doi.org/10.1016/j.xplc.2020.100032. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020

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Engineering Improved Photosynthesis in the Era of Synthetic Biology

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Willian Batista-Silva1#, Paula da Fonseca-Pereira1#, Auxiliadora Oliveira

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Martins1, Agustín Zsögön1, Adriano Nunes-Nesi1, and Wagner L. Araújo1*

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Authors Affiliations

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Departamento de Biologia Vegetal, Universidade Federal de Viçosa, 36570-

900, Viçosa, Minas Gerais, Brazil

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#

These authors contributed equally to this work

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Running title: Improving Photosynthesis through Synthetic Biology

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Short summary:

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We summarize here the progress on the emerging field of synthetic biology

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applied to photosynthesis. We further discuss recent strategies used for

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manipulating photosynthetic efficiency and their potential biotechnological

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applications.

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* Corresponding author

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Wagner L. Araújo

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Departamento de Biologia Vegetal

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Universidade Federal de Viçosa

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36570-900, Viçosa, Minas Gerais, Brazil

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E-mail: [email protected]

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Tel.:+55 31 3612 5358

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ABSTRACT

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Much attention has been given to the enhancement of photosynthesis as a

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strategy for the optimization of crop productivity. As traditional plant breeding is

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most likely reaching a plateau, there is a timely need to accelerate

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improvements in photosynthetic efficiency by means of novel tools and

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biotechnological solutions. The emerging field of synthetic biology offers the

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potential for building completely novel pathways in predictable directions and,

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thus, addresses the global requirements for higher yields expected to occur in

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the 21st century. Here we discuss the recent advances and current challenges

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of engineering improved photosynthesis in the era of synthetic biology toward

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optimized utilization of solar energy and carbon sources to optimize the

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production of food, fibre and fuel.

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Keywords: photosynthesis; synthetic biology; genetic engineering; yield

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improvement; targeted manipulation

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The need for increased photosynthesis in crops

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Photosynthesis is the main driving force for plant growth and biomass

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production and, as such, considered as a cornerstone of human civilization (Ort

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et al., 2015; Orr et al., 2017; Simkin et al., 2019). Notably, most attention in

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research that could result in an improvement of the productivity of crops has

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been directed to photosynthesis (Nowicka et al., 2018). Moreover, the

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accelerated growth of global population and the uncertainties derived from

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global climate change make the enhancement of photosynthetic efficiency of

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paramount importance to ensure food security over the coming decades

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(National Academies of Sciences, Engineering and Medicine, 2019) and an

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exciting opportunity to address the challenge of sustainable yield increases

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required to meet future food demand (Foyer et al., 2017; Éva et al., 2019;

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Fernie and Yan, 2019).

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Until recently, it was generally believed that plant photosynthesis had

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already been optimized during evolution to perform at its optimum, and thus it

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could not be further improved (Leister, 2012). However, research efforts toward

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better understanding of the photosynthetic process have actually demonstrated

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that photosynthesis in terrestrial plants can be considered remarkably inefficient

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(Ort et al., 2015; Éva et al., 2019). As a consequence, a range of opportunities

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aimed at enhancing the photosynthetic capacity have been proposed (Orr et al.,

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2017; Nowicka et al., 2018; Nowicka, 2019; Kubis and Bar-Even, 2019) and

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promising results have been obtained. If successfully transferred to crops, these

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results would enable agriculture to keep pace with the exponential demand for

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increased yield from growing human population (Shih, 2018; Éva et al., 2019).

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The strategies aimed at enhancing crop yield have changed over time.

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From the onset of crop domestication and the very beginning of agriculture until

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the current state of global agriculture, humankind has learned to improve crops

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in order to fulfil its evolving needs (Pouvreau et al., 2018; Fernie and Yan,

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2019). In the past, particularly in the second half of the 20th century, during the

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so-called ‘Green Revolution’, traditional plant breeding strategies, in conjunction

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with greater inputs of fertilizers, pesticides and water, provided a rapid and

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significant increase in crop yield, especially for cereals (Betti et al., 2016;

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Nowicka et al., 2018; Éva et al., 2019). As a result, large increases in the yield

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of the staple crops were achieved (Long et al., 2006; Nowicka et al., 2018). 3

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However, yield improvements for several major crops are either slowing or

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stagnating (Long et al., 2015). Furthermore, it is predicted that the productivity

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of the major crop species is approaching the highest yield that can be obtained

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using traditional breeding methods (Betti et al., 2016; Hanson et al., 2016;

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Nowicka et al., 2018). Therefore, there is a timely need to accelerate our

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understanding of the mechanisms controlling photosynthetic and associated

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processes in response to the environment to allow higher photosynthesis for

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increased biomass production and yield (Long et al., 2015; Vavitsas et al.,

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2019). However, according with Leister (2019), few, if any, increases in crop

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yield have been attained through increases in photosynthetic rate.

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As traditional methods of crop improvement are probably reaching a

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plateau, further increases in the productivity of crops must be obtained by

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means of novel tools and technological solutions (Ort et al., 2015; Nowicka et

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al., 2018; Simkin et al., 2019). Much of the ongoing research has aimed at

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identifying natural genetic variation responsible for increased photosynthetic

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capacity (Hüner et al., 2016; Nunes-Nesi et al., 2016). However, the limited

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genetic variation that is naturally found in the enzymes and photosynthesis

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related processes, especially for major crops, hampers the task of optimizing

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photosynthesis (Ort et al., 2015; Dann and Leister, 2017). Such challenges can

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potentially be overcome using genetic engineering in conjunction with

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systems/synthetic biology and computational modelling strategies as part of a

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new Green Revolution (Long et al., 2015; Wallace et al., 2018; Fernie and Yan,

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2019). Instead of exchanging single components, synthetic biology tools can

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engineer and redesign entire processes to overcome the challenges that cannot

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be easily solved using existing systems (Weber and Bar-Even, 2019).

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Our aim here is to provide an overview of the current state and the

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prospects for engineering improved photosynthesis and plant productivity in the

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era of synthetic biology. To this end, we summarize recently identified strategies

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for manipulating photosynthetic efficiency and further discuss their potential

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application for plant biomass production and crop yield, as well as for producing

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valuable and highly-demanded compounds in vivo to address the global

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requirements for higher yields expected to occur in the 21st century.

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Photosynthesis as a target for synthetic biology strategies 4

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Oxygenic photosynthesis is the process in which plants and other

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phototrophs use solar energy to fix carbon dioxide (CO2) into carbohydrates,

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releasing oxygen (O2) as a by-product through a series of reactions occurring in

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the thylakoid membranes (photochemical reactions) and in the chloroplast

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stroma (carbon-fixing and reducing reactions). In the photochemical reactions,

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the absorbed light energy oxidizes water to O2 and drives a series of reduction-

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oxidation (redox) reactions in which electrons flow through several specialized

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compounds, ultimately reducing NADP+ to NADPH, with the concomitant

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generation of ATP during the electron transfer from water to NADP+ (Nielsen et

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al., 2013). The resulting high energy compounds, NAPDH and ATP, are used to

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power the Calvin-Benson cycle (CBC) allowing the assimilation and reduction of

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CO2 into trioses phosphate, which are then stored in the chloroplast as starch or

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exported by the phloem in the form of sucrose to support growth and

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metabolism of sink tissues and organs.

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At least three kinds of photosynthesis namely C3, C4, and crassulacean

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acid metabolism (CAM) are found in plants based on a set of characteristics,

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such as the identity of the first molecule produced upon CO2 fixation,

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photorespiratory rate and natural habitat (Moses, 2019). The central enzyme of

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the

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(RuBisCO), catalyses the carboxylation reaction of RuBP (CO2 fixation) to form

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two molecules of 3-phosphoglycerate (3PGA) in the first step of the C3

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photosynthetic carbon reduction cycle (Moses, 2019). Because carboxylation

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and oxygenation occur within the same active site of the RuBisCO, in all

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photosynthetic organisms, and the enzyme does not discriminate well between

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CO2 and O2, the concentration ratio of CO2 to O2 in the vicinity of RuBisCO

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determines the efficiency of CO2 fixation (Betti et al., 2016; Hagemann and

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Bauwe, 2016; Nölke et al., 2019).

CBC,

ribulose-1,5-bisphosphate

(RuBP)

carboxylase/oxygenase

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The majority of the plants (~85%), including major crops like wheat

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(Triticum aestivum), rice (Oryza sativa), and soybean (Glycine max) have a C3-

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type metabolism (Stitt; Moses, 2019). In contrast to C3, in which oxygenase

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activity of RuBisCO causes a significant waste of resources, some plant

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species, as well as cyanobacteria and algae, have evolved carbon

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concentration mechanisms (CCMs) to favour the carboxylase activity of

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RuBisCO and thus limit their photorespiratory rates known as C4 and CAM 5

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photosynthesis (Peterhänsel et al., 2013; Long et al., 2016; Nowicka et al.,

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2018; Nölke et al., 2019). By contrast, C3 plants maximize CO2 capture by

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maintaining high stromal RubisCO concentrations (up to 50% of leaf total

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protein), at the cost of relatively higher rates of photorespiration and lower

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water-use efficiency (WUE) (Raines, 2011; Orr et al., 2017; Rae et al., 2017). In

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consequence, most of the efforts to optimize photosynthesis have been directed

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toward the introduction of desired metabolic pathways of either CAM or C4

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photosynthesis into C3 plants (Orr et al., 2017; Weber and Bar-Even, 2019).

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Considering that the number of genes and metabolic routes bearing a

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potential for improved photosynthesis and biomass production is high (Orr et al.,

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2017; Nowicka et al., 2018), targeted manipulation based on engineering

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principles have been extensively used to modify and optimize photosynthesis

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and, thus, facilitate the management of such complexity. Synthetic biology

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offers a promising interdisciplinary approach to integrate the principles of

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molecular

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computational tools to modify an existent organism or to artificially create novel

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life forms for different purposes (South et al., 2018; Stewart et al., 2018),

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including the improvement of photosynthesis. Thus, within the next sections, we

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will shed light on the challenges, advances and prospects for the applicability of

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synthetic biology concepts, from an integrated and holistic perspective, to

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multitargeted manipulations of the photosynthetic machinery.

biology

with

biochemical

engineering

in

conjunction

with

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Approaches to optimize light reactions of photosynthesis

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Photosynthesis is the only known biological process capable of using the

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energy derived from light to produce chemical energy for the synthesis of

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complex carbon compounds. As shown in Figure 1, light-dependent reactions of

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land plant photosynthesis consist of two photochemical complexes, called

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photosystems I and II (PSI and PSII), which operate in series and are spatially

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separated in the thylakoid and lamella membranes (Éva et al., 2019). PSI and

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PSII work in conjunction with their respective light-absorbing antenna systems,

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LHCI and LHCII, and are connected to each other by an electron-transport

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chain (ETC)(Amthor, 2010). While the light-absorbing pigments of the antenna

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complex are responsible for collecting the light and physically transferring the 6

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energy, specialized chlorophyll molecules associated with the reaction center

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complex transduce the energy from the light and use it for the photochemical

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reactions leading to the long-term chemical energy storage.

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In view of the complexity and the importance of light reactions of

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photosynthesis, it is not surprising that not only an efficient and robust

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apparatus but also flexibility in the responses to changing environmental

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conditions is required (Kramer et al., 2004). This fact aside, many scholars have

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argued that overall plant photosynthesis is remarkably inefficient, since many

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drawbacks have been identified within this system (Kornienko et al., 2018; Éva

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et al., 2019; Moses, 2019). To begin with, less than half of the average solar

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spectrum

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photosynthetically active fraction of 400-740 nm) can be used to drive oxygenic

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photosynthesis in plants (Moses, 2019). Secondly, the theoretical efficiency of

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solar energy conversion into biomass by natural photosynthesis is considered

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low (maximum of 4.6 and 6% for C3 and C4 plants, respectively; 1–2% typical

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for crops and 0.1% for most other plants) (Zhu et al., 2008b; Zhu et al., 2010)

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Thirdly, PSII is highly susceptible to photoinhibition at high light intensity

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(Nishiyama et al., 2011; Liu et al., 2019), possibly due to the evolutionary origin

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of photosynthesis in prokaryotes, initially in marine conditions (i.e., low- light)

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and in the absence of oxygen (Leister, 2012; Éva et al., 2019). Therefore, the

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many losses known to occur from light absorption to photochemical events and

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beyond provide the necessary room for improvement of the plant photosynthetic

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light reactions.

incident

on

the

earth’s

surface

(corresponding

to

the

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Several approaches aiming at increasing the efficiency to process the

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influx of energy by the photosynthetic apparatus, thus mitigating energy losses

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during photosynthesis, have been proposed (Blankenship et al., 2011; Orr et al.,

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2017). Significant increases in growth rates were recently obtained in tobacco

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by accelerating recovery from photoprotection by means of an improved non-

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photochemical quenching (NPQ) (Kromdijk et al., 2016a). Furthermore, different

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recent approaches have emerged as alternatives to improve photosynthesis

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based on changes in NPQ (Murchie and Niyogi, 2011; Harada et al., 2019) as

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well as on the regulation of the cytochrome b6f complex and its related proteins

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PsbS and Rieske FeS subunit (Shikanai, 2014; Ermakova et al., 2019a). Apart

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from the alterations in NPQ or cytochrome b6f complex, two main ideas 7

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suggested to optimize light-use efficiency (LUE) by plants are (i) the expansion

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of the light absorption spectrum to capture more of the available light and (ii) the

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reduction of antenna size of the photosystems (Terao and Katoh, 1996; Ort et

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al., 2011; Bielczynski et al., 2019). In this respect, a promising strategy would

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be the use of bacteriochlorophylls found in anoxygenic photosynthetic

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organisms, which have absorption maxima that extend out to the far-red region

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(~1100 nm), to engineer one of the photosystems, thus expanding the visible

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light spectrum of plant photosynthetic apparatus (Blankenship et al., 2011; Ort

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et al., 2015; Orr et al., 2017). Alternatively, chlorophylls and bacteriochlorophylls

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could also be combined in the same organism (Leister, 2019a). On the other

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hand, reducing the size of the antenna could be a feasible approach to extend

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the absorption spectrum without favouring saturation effects (Blankenship et al.,

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2011).

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The temptation to modify core photosynthetic proteins has generally led

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to undesired effects, as expertly reviewed elsewhere (Leister, 2019b). For

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instance, exchanges of conserved individual photosynthetic proteins from either

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cyanobacterial PSI (PsaA) or PSII (D1, CP43, CP47, and PsbH) by their plant

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counterparts caused side effects such as slower growth (Nixon et al., 1991),

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loss of photoautotrophy (Carpenter et al., 1993; Vermaas et al., 1996), higher

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light sensitivity (Chiaramonte et al., 1999), lower chlorophyll content

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(Chiaramonte et al., 1999), impaired photoautotrophic growth and drastically

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reduced chlorophyll-phycocyanin ratio (Viola et al., 2014; Leister, 2019b).

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Hence, single mutations or replacements of core photosynthetic proteins will not

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be probably enough to increase the photosynthetic performance owing to the

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multiple interactions of the photosynthetic machinery, which evolved over

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billions of years and is locked in a “frozen metabolic state” (Gimpel et al., 2016;

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Leister, 2019a; Leister, 2019b).

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In view of the highly integrated nature of the photosynthetic machinery,

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the transfer of entire photosynthetic multiprotein complexes from different

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species seems to be a more promising approach than the exchange of

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individual photosynthetic proteins (Leister, 2019b). The first successful

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demonstration of a whole photosynthetic complex being exchanged was made

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by Gimpel et al., 2016. Six subunits of the entire PSII core of C. reinhardtii were

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replaced by a single synthetic construct that contained the orthologous genes 8

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from two other green algae (Volvox carteri or Scenedesmus obliquus) (Gimpel

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et al., 2016). Despite their photoautotrophic growth, the resulting strains

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exhibited lower photosynthetic efficiency and lower levels of the heterologous

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proteins in comparison with those proteins they were replacing (Gimpel et al.,

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2016; Leister, 2019b). These results suggest that the aforementioned synthetic

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exchange might have disturbed interactions with other PSII proteins in the

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transgenic strains (Gimpel et al., 2016). Therefore, it might be mandatory to not

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only exchange the core subunits, but also the supplementary proteins that

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physically and/or physiologically interact with the core photosynthetic proteins.

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However, whether this approach is feasible in practice is still a matter of debate

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and a target of future engineering and optimization efforts (Nowicka et al., 2018;

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Leister, 2019a).

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Several recent synthetic biology studies have endeavoured to insert

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photosynthetic proteins into host species which lack the related homologs

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(Tognetti et al., 2006; Chida et al., 2007; Tognetti et al., 2007; Blanco et al.,

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2011; Yamamoto et al., 2016). Promising results were obtained by the

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introduction of the algal cytochrome c6 protein in the photosynthetic ETC of

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Arabidopsis (Chida et al., 2007) and of tobacco (Yadav et al., 2018) (Figure 1).

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In both cases, photosynthetic rates and growth were higher in the transgenic

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lines (Chida et al., 2007; Yadav et al., 2018). In addition, improved pigment

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contents and WUE were observed when the Cyt c6 from the green macroalgae

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Ulva fasciata was overexpressed in tobacco (Yadav et al., 2018). Therefore, the

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overexpression of the heterologous Cyt c6 protein is a promising approach

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toward delivering step change advancement in crop productivity by means of

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synthetic biology.

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In addition to the improvement of photosynthesis for higher biomass,

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synthetic biology efforts have also been proposed to modify the photosynthetic

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apparatus to redirect metabolic energy towards the production of desired

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compounds (Mellor et al., 2019; Russo et al., 2019). P450s are a large and

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diverse family of redox enzymes wide-spread across the kingdoms (Mellor et

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al., 2019). Owing to their involvement in extreme versatile functions and to the

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irreversibility of their catalysed reactions, besides their key roles in the synthesis

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of secondary metabolites, P450s are highly attractive potential targets for

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biotechnology applications (Rasool and Mohamed, 2016; Leister, 2019b; Russo 9

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et al., 2019). In eukaryotes, P450s are located in the endoplasmic reticulum

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(ER), where they are reduced by a membrane bound NADPH-dependent

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reductase (Jensen and Scharff, 2019). Given that the expression levels of

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P450s in plants are generally low and their activity is limited by the availability of

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both NADPH and substrates inside the ER (Wlodarczyk et al., 2016; Russo et

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al., 2019), synthetic biology approaches have attempted to introduce P450

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pathways into the plant chloroplast and redirect the electrons from PSI to the

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P450s (Russo et al., 2019; Urlacher and Girhard, 2019). For example, direct

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coupling of P450 from S. bicolor (CYP79A1) to barley (Hordeum vulgare) PSI

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enabled the conversion of tyrosine to hydroxyphenyl-acetaldoxime during the

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biosynthesis of the cyanogenic glucoside dhurrin (Jensen et al., 2011). In

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addition, expression of a fusion between CYP79A1 and Fd in the thylakoid

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membrane in N. benthamiana allowed coupling of photosynthetic reducing

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power to the heme iron reduction (Mellor et al., 2016; Urlacher and Girhard,

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2019). Afterwards, this strategy was extended by successfully inserting two

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P450s (CYP79A1 and CYP71A1) and a UDP glucosyl transferase from the S.

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bicolor biosynthetic pathway of dhurrin

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transiently transformed N. benthamiana leaves (Nielsen et al., 2013) or into the

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cyanobacterium Synechocystis sp. PCC 6803 (Wlodarczyk et al., 2016)(Figure

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1). Collectively, these findings demonstrate the feasibility of transferring P450

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dependent pathways to redirect the photosynthetic electron flow for the

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biosynthesis of primary and secondary metabolites in chloroplasts of either

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plants or heterologous hosts such as cyanobacteria.

into the thylakoid membranes of

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Apart from the production of high-value compounds by means of P450

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catalysis, recent synthetic biology efforts have exploited overall light reactions to

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directly power enzymes for a large number of diverse biotechnological

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applications (Sorigué et al., 2017; Ito et al., 2018; Yunus et al., 2018).

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Moreover, other pioneering studies have offered a demonstration of how light-

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driven enzymes can play a major role, for example, in the degradation of

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polysaccharides (Cannella et al., 2016), in the conversion of long-chain fatty

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acids into alka(e)nes in microalgae and in the conversion of CO2 into

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hydrocarbons in photosynthetic microorganisms (Sorigué et al., 2017).

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Interestingly, light-driven catalysis can even be created in non-photosynthetic

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membranes (Russo et al., 2019), as recently shown in a study seeking to 10

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optimize the application of particulate methane monooxygenases (pMMOs) by

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using

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Methylosinus trichosporium OB3b for methane hydroxylation (Ito et al., 2018).

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Considering the capacity of PSII to extract electrons from water and its

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contribution for the electrochemical potential across membranes (Semin et al.,

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2019), electrons from water oxidation can be extracted on the acceptor side of

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PSII for many additional energy applications .

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the

reconstituted

PSII

containing

membrane-bound

pMMO

of

From the studies described up to now, it becomes evident that the ample

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availability

of

solar energy provides

opportunities

to

drive

not

only

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photosynthesis but also unrelated metabolic reactions requiring electrons for

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their catalytic cycle (Leister, 2019a; Russo et al., 2019). However, some

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fundamental challenges remain. One of them is that, apart from modifying light

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capture and increasing the conversion efficiency of light energy into biomass or

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into valuable compounds, a true synthetic biology program should also aim to

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design photosystems insensitive to photodamage and which produce fewer

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harmful reactive oxygen species (ROS) (Leister, 2012; Schmermund et al.,

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2019). For that purpose, photosystems might have to be redesigned to include

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additional “devices” that use or quench excess excitation energy and, at the

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same time, dramatically reduce the number of proteins and thus preventing the

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requirement for a plethora of assembly factors (Leister, 2012). Moreover, this

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problem might be solved by using (i) cells which allow repair of a damaged D1

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subunit of PSII (e.g., cyanobacteria, algae) or by (ii) transferring entire PSII core

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module from organisms (e.g. non-model green alga Chlorella ohadii) which

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probably generate fewer ROS or which are better protected against to or even

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less accessible to ROS (Treves et al., 2016; Leister, 2019a). Finally, it must be

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kept in mind that, regardless of the approach taken, well-validated mechanistic

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models will be decisive to understand and further manipulate light reactions with

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the final aim to predictably modify the organisms and obtain desired functions

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through synthetic biology tools.

354 355

Synthetic biology offers great promise to introduce CCMs into C3 plants

356 357

The introduction of CCMs into C3 plants has been a key driver of many

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synthetic biology strategies aimed at improving photosynthesis (see Figure 2 for 11

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details). C4 photosynthesis, which has evolved in angiosperm families at least

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66 independent times, is a remarkable convergent evolutionary phenomena

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(Sage et al., 2011; Aliscioni et al., 2012; Orr et al., 2017). According to the

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carbon starvation hypothesis, C4 plants arose in open and arid regions where

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the low atmospheric CO2 concentration, in concert with warmer weather,

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triggered the evolution of C4 metabolism, as a strategy to minimize the

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oxygenase activity of RuBisCO. In addition to the reduction of photorespiration,

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the C4 traits have enabled C4 plants to increase their efficiencies in the use of

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radiation, nitrogen, and water in comparison to C3 plants (Sage, 2004; Zhu et

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al., 2008a; Maurino and Peterhänsel, 2010; Peterhänsel and Maurino, 2011;

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Sage et al., 2012; Schuler et al., 2016). Thereupon, the understanding of the

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genetic mechanisms underlying this complex trait could provide further insights

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into the conversion of the C3 pathway into C4, with the ultimate goal of

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enhancing C3 photosynthetic efficiency (Schuler et al., 2016).

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Engineering C4 photosynthesis into C3 plants has been recently outlined

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as a stepwise process reviewed by Kubis and Bar-Even (2019). The

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modification of the tissue anatomy, as well as the establishment of the bundle

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sheath (BS) morphology and the maintenance of a cell type-specific enzyme

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expression are key aspects which must be taken into account in this process

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(Sage et al., 2012; Schuler et al., 2016). Accordingly, the introduction of all

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these traits into C3 plants that may lack the ability to naturally evolve C4

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photosynthesis is considered a challenging task (Figure 2A; Denton et al., 2013;

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Schuler et al., 2016; Wang et al., 2016). As previously shown in rice and in

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many others C3 crops, yield is drastically limited by the photosynthetic capacity

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of leaves and the carbohydrates factories are unable to fill the larger number of

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florets or fruits of modern plants (Pearcy and Ehleringer, 1984; Hibberd et al.,

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2008; von Caemmerer and Evans, 2010; von Caemmerer et al., 2012;

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Sowjanya et al., 2019). Therefore, the introduction of higher-capacity

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photosynthetic mechanism has challenged the scientific community to engineer

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C4 pathway into rice (Hibberd et al., 2008).

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Genomic and transcriptomic approaches have produced thrilling results

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about potential metabolite transporters and transcriptional factors which might

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be useful for engineering C4 rice (von Caemmerer et al., 2012; Wang et al.,

392

2016; Von Caemmerer et al., 2017). However, several efforts to engineer C4 12

393

photosynthesis into C3 species have been hampered by an incomplete list of

394

genes and gene functions required to support the trait (Weber and Bar-Even,

395

2019). Therefore, the identification and functional characterization of the

396

associated genes seem to be a fundamental challenge faced by the

397

researchers and a crucial step towards the introduction of the C4 pathway into

398

important C3 crop plants (Schuler et al., 2016; Kurz et al., 2016; Orr et al.,

399

2017). In addition, both the metabolic intermediates between mesophyll cell

400

(MC) and bundle sheath cells (BSC) and the factors involved in the

401

development of Kranz anatomy are still not fully identified and thus remain to be

402

elucidated (Schuler et al., 2016). Notably, these studies and other recently

403

summarized (Ermakova et al., 2019b) represent fundamental breakthroughs in

404

understanding and engineering C4 into C3 photosynthesis plants and, although

405

there is still room for improvement, it seems reasonable to assume that we are

406

facing now a move from the proof-of-concept stage to expanded strategic field

407

testing. These examples illustrate the critical integration of different research

408

fields to improve crops that can be provided by synthetic biology.

409

Another group of plants which represents one strategic and alternative

410

target to understand and engineer C3 photosynthesis are those with CAM

411

photosynthesis (Figure 2B; Orr et al., 2017; Kubis and Bar-Even, 2019). Unlike

412

the C4 pathway, CAM plants separate the activities of PEPC and RuBisCO

413

temporally, rather than spatially (Edwards, 2019). Given that CAM species fix

414

CO2 during the night, while stomata are closed (Rae et al., 2017), CAM reduces

415

the water evaporation and increases WUE by 20–80%, an adaptive trait for hot

416

and dry climates (Borland et al., 2009; Borland et al., 2014; Yang et al., 2015;

417

Kubis and Bar-Even, 2019). The existence of C3-CAM intermediate plants

418

represents a clear potential target for synthetic biology to introduce improved

419

WUE into C3 crops for a warmer and drier condition (Borland et al., 2009;

420

Borland et al., 2011).

421

Another strategy to increase C3 photosynthesis is the introduction of

422

biophysical CCMs from cyanobacteria and green algae into plant chloroplasts

423

(Figure 2C; Long et al., 2006b; Dean Price et al., 2011; Dean Prince et al.,

424

2013; Long et al., 2016; Long et al., 2018). As well reviewed in the current

425

literature, cyanobacteria and green algae such as C. reinhardii use a

426

biophysical CCM (Raven et al., 2012; Kupriyanova et al., 2013; Mackinder, 13

427

2018). The CCMs of microalgae and cyanobacteria rely on a range of active

428

and facilitated uptake mechanisms for inorganic carbon (Ci) such as carbonic

429

acids (HCO3-). After the participation of these transporters, bicarbonate is

430

further transported into specialized compartments packed with RuBisCO, the

431

carboxysome in cyanobacteria and pyrenoids in green algae, where CO2 is

432

released from bicarbonate by carbonic anhydrases (Dean Prince et al., 2013;

433

Mangan et al., 2016; Orr et al., 2017; Long et al., 2018; Poschenrieder et al.,

434

2018). Compelling evidence has demonstrated that the overexpression of the Ci

435

transporter ictB from cyanobacteria in Arabidopsis and tobacco enhances

436

photosynthesis and growth (Lieman-Hurwitz et al., 2003; Simkin et al., 2015)

437

(Figure 2C and Table 1). In addition, transgenic rice expressing the ccaA, ictB

438

and FBP/SBPase derived from cyanobacteria exhibited significant increases in

439

their photosynthetic capacities, mesophilic conductance and grain yield (Yang

440

et al., 2008; Gong et al., 2015; Gong et al., 2017). Similar results found that ictB

441

also contributes to enhancement of the soybean photosynthetic CO2

442

assimilation (Hay et al., 2017).

443

Another engineering strategy aiming to generate CCM in crop plants is

444

the introduction of genes encoding both the carboxysome and its encapsulated

445

RuBisCO (Dean Prince et al., 2013; Long et al., 2016). Significant progress

446

toward synthesizing a carboxysome in chloroplasts of C3 plants has been made

447

by using tobacco as a model system (Figure 2C; Lin et al., 2014a; Hanson et

448

al., 2016b; Occhialini et al., 2016). However, the big challenge and the first step

449

to be achieved as a key requirement for the introduction of a functional

450

biophysical CCM into C3 plants is to provide the expression and the correct

451

localization of Ci transporters from cyanobacteria or green alga into transgenic

452

C3 plants. Once this step is completed, we can go further with the next step, the

453

establishment of functional RuBisCO-containing compartments (Kubis and Bar-

454

Even, 2019). Recently, Long et al., (2018) have successfully produced

455

simplified carboxysome within tobacco chloroplast and replaced endogenous

456

RuBisCO large subunit genes with cyanobacterial form-1A RuBisCO large and

457

small subunit genes, producing carboxysome which encapsulates RuBisCO and

458

enable autotrophic growth at elevated CO2. Therefore, these new findings are

459

offering alternative avenues to tailor microcompartment design based on

460

simplified sets of genes. 14

461 462

Engineering RuBisCO

463 464

RuBisCO, a key regulator of the CBC, is responsible for the assimilation

465

of CO2 and is recognized as the most abundant protein in nature (Ellis, 1979;

466

Reven, 2013; Erb and Zarzycki, 2018). Given that RuBisCO exhibits slower

467

catalytic rate than most enzymes involved in the central metabolism of plants, it

468

has long been considered a limiting step for photosynthesis and hence for

469

primary productivity (Pottier et al., 2018). Therefore, a number of metabolic

470

engineering and synthetic biology strategies have been proposed to improve

471

RuBisCO’s ability to fix CO2 (Figure 3; Weigmann, 2019). However, some

472

strategies to achieve this goal have generally faced significant technical

473

challenges, suggesting that RuBisCO is already operating at or near

474

physiological optimum in plants (Long et al., 2015).

475

A key challenge in engineering RuBisCO is that the enzyme is a robust

476

hexadecameric complex (550 kDa) comprising eight copies of a large subunit

477

(RbcL), encoded by the chloroplast genome, and additional eight copies of a

478

small subunit (RbcS), encoded by the nuclear genome (Pottier et al., 2018).

479

Moreover, RuBisCO exhibits extensive natural diversity regarding subunit

480

stoichiometry and carboxylation kinetics (Whitney and Sharwood, 2008;

481

Sharwood, 2017). Further development has been obtained by manipulating the

482

small subunit of RuBisCO, an approach which has provided higher RuBisCO

483

catalytic turnover rates in rice (Ishikawa et al., 2011; Ogawa et al., 2012) and

484

Arabidopsis (Makino et al., 2012; Atkinson et al., 2017). In addition, the

485

introduction of a foreign RuBisCO from Synechococcus elongatus PCC7942

486

into tobacco allowed complete assembly of RubisCO with functional activity and

487

photosynthetical competence, supporting autotrophic growth (Lin et al., 2014b;

488

Occhialini et al., 2016).

489

It is also already known that the folding and assembly of RuBisCO large

490

and small subunits in L8S8 holoenzymes within the chloroplast stroma involves

491

many auxiliary factors, including chaperones such as bundle sheath defective 2

492

protein (BSD2) (Figure 3; Aigner et al., 2017; Bracher et al., 2017; Conlan and

493

Whitney, 2018; Conlan et al., 2019). According with Aigner et al., (2017), these

494

factors might assist RuBisCO folding by stabilizing an end-state assembly. In 15

495

addition, they can further facilitate efforts to enhance the kinetics of RuBisCO

496

though mutagenesis. Moreover, the catalytic parameter can be improved by

497

changes in the carbamylating activity which is a prerequisite for RuBisCO

498

activity (Lorimer and Miziorko, 1980; Kubis and Bar-Even, 2019). In fact, the

499

catalytic chaperone RuBisCO activase (Rca) presents itself as an attractive

500

target for engineering enhanced photosynthesis (Salvucci and Crafts-Brandner,

501

2004; Kurek et al., 2007; Fukayama et al., 2012; Yamori et al., 2012). These

502

findings, combined with those of previous studies, indicate that RuBisCo activity

503

and by consequence photosynthesis can be engineered and improved by

504

means of synthetic biology.

505 506

Optimizing

the

CBC

and

507

photorespiration bypass routes

advances

in

engineering

synthetic

508

Several attempts have focused on enhancing photosynthetic carbon

509

fixation and it has also been recognized that CBC enzymes represent promising

510

targets to accelerate plant carbon fixation (Figure 3; Raines, 2003; Feng et al.,

511

2007a; Raines, 2011; Singh et al., 2014; Orr et al., 2017; Kubis and Bar-Even,

512

2019). These assumptions are in consonance with computational models which

513

have suggested that the natural distribution of enzymes within the CBC is not

514

optimal and thus could directly limit photosynthesis performance (Kebeish et al.,

515

2007; Zhu et al., 2007; Bar-Even, 2018). Furthermore, it was predicted that

516

higher levels of sedoheptulose-1,7-biphosphatase (SBPase) and fructose-1,6-

517

biphosphate aldolase (FBPA) could support higher productivity, generating

518

extra thermodynamic push and enabling better flux control (Zhu et al., 2007;

519

Bar-Even, 2018; Kubis and Bar-Even, 2019).

520

Different glasshouse experiments have identified higher photosynthetic

521

rates and total biomass in transgenic tobacco and tomato plants overexpressing

522

SBPase (Lefebvre et al., 2005; Ding et al., 2016). Moreover, overexpression of

523

SBPase in rice plants enhanced photosynthesis rate under both high

524

temperature (Feng et al., 2007a) and salt stress (Feng et al., 2007b), by

525

providing higher regeneration of RuBP in the stroma. Similar results were

526

obtained by increasing SBPase activity in transgenic wheat, which exhibit

527

enhanced leaf photosynthesis, total biomass and dry seed yield (Driever et al.,

528

2017). In addition, increases in SBPase activity in tomato plants resulted in 16

529

higher photosynthetic efficiency by higher RuBP regeneration capacity and

530

increased LUE, in addition to higher tolerance to chilling stress (Ding et al.,

531

2016).

532

In order to avoid bottlenecks in different parts of the CBC, additional

533

efforts have been pursued to implement engineering principles to other CBC

534

targets (Simkin et al., 2015; Simkin et al., 2017b). These include the enzymes

535

FBPase, FBPA and photorespiratory glycine decarboxylase-H (GDH-H), and

536

the last was shown to increase photosynthesis and biomass when

537

overexpressed in transgenic tobacco plants (López-Calcagno et al., 2018). In

538

this respect, intensive effort has been placed into multigene manipulation of

539

photosynthetic carbon assimilation to improve crop yield (Simkin et al., 2015).

540

For

541

photosynthesis and yield in transgenic tobacco (Table 1; Simkin et al., 2015;

542

Simkin et al., 2017b). In addition, co-expression of GDC-H with SBPase and

543

FBPA resulted in a positive impact on leaf area and biomass in Arabidopsis

544

(Simkin et al., 2017b). However, despite promising results obtained so far,

545

multigene manipulations are still in development and still need to be tested

546

under field conditions.

instance,

co-overexpression

of

SBPase

and

FBPA

enhanced

547

An alternative approach to optimize CBC and reducing the negative

548

effects of photorespiration has been proposed to ameliorate carbon and energy

549

losses during carbon fixation. This strategy is based on the introduction of

550

synthetic metabolic pathways that incorporate enzyme-catalysed reactions

551

found in microorganism such as bacteria, algae and even Archaea, into higher

552

plants for the creation of the so called “photorespiratory bypasses” (Peterhänsel

553

and Maurino, 2011; Peterhänsel et al., 2013; Nölke et al., 2014; John Andralojc

554

et al., 2018). The metabolic engineering of photorespiratory bypasses enhances

555

the total photosynthetic yield, while the ammonia release in the mitochondrion is

556

omitted, thereby saving ammonia re-assimilation costs (Maier et al., 2012;

557

Peterhänsel et al., 2013). However, according to Peterhänsel et al., (2013),

558

advantages of this bypass have been only detectable under short-day

559

conditions, where energy efficiency of carbon fixation is more limiting for growth,

560

than under long-day conditions. This is a highly promising approach, yet further

561

studies under field conditions and stress conditions are still required.

562 17

563 564

Redesigning photorespiration and CO2 fixation pathways Given

that

carbon

loss

is

the

greatest

problem

caused

by

565

photorespiration and a challenge for boosting carbon fixation, recent systematic

566

analysis have aimed to identify photorespiratory bypass routes that do not lead

567

to the release of CO2 (Trudeau et al., 2018; Kubis and Bar-Even, 2019). By

568

combining natural and artificially designed enzymes, the activity of a synthetic

569

carbon-conserving photorespiration bypass have been established in vitro

570

(Trudeau et al., 2018). Briefly, the authors successfully jointly engineered the

571

two enzymes responsible to catalyse the glycolate reduction to glycolaldehyde,

572

an acetyl-CoA synthetase and an NADH-dependent propionyl-CoA, and further

573

combined, in a test tube, the glycolate reduction module with three natural

574

enzymes required to convert glycolate to RuBP. Since NADPH and ATP were

575

consumed and RuBP accumulated upon addition of glycolate and 3PGA

576

(Trudeau et al., 2018), the study provides a proof of principle of an alternative

577

synthetic photorespiration bypass that does not release CO2. However, once

578

this metabolic sequence has been only demonstrated in vitro, it awaits in planta

579

investigations.

580

Beyond carbon conservation, other studies have recently suggested

581

carbon-positive photorespiration shunts as a strategy to improve

582

efficiency (Yu et al., 2018; Kubis and Bar-Even, 2019). For instance, a synthetic

583

malyl-CoA-glycerate (MCG) carbon fixation pathway designed for the

584

conversion of glycolate to acetyl-CoA was introduced to complement the

585

deficiency of the CBC for acetyl-CoA synthesis (Yu et al., 2018). To this end,

586

the authors first tested the feasibility of the MCG pathway in vitro and in E. coli,

587

and then evaluated the coupling of the MCG pathway with the CBB cycle for the

588

acetyl-CoA synthesis in the cyanobacteria S. elongatus. Although the MCG

589

pathway cannot be considered a true photorespiration bypass, since acetyl-CoA

590

cannot be easily re-assimilated into the CBC (Weber and Bar-Even, 2019), the

591

pathway

592

cyanobacteria (Yu et al., 2018; Kubis and Bar-Even, 2019).

facilitated

a

2-fold

increase

in

bicarbonate

CBC

assimilation

in

593

Instead of generating photorespiration bypasses, alternative studies have

594

attempted to construct and optimize completely artificial routes for the fixation of

595

CO2 in vitro to further replacing the CBC with a synthetic carbon fixation

596

pathway (Figure 3; Schwander et al., 2016; Weber and Bar-Even, 2019; Kubis 18

597

and Bar-Even, 2019). Towards in vitro reconstitution of an enzymatic network,

598

the original CBC pathway was replaced by synthetic reaction sequences where

599

different enzymes were engineered to either limit side reactions of promiscuous

600

enzymes or proofread other enzymes required to correct for the generation of

601

dead-end metabolites (Schwander et al., 2016). Notably, the CETCH pathway,

602

which relies on the reductive carboxylation of enoyl-CoA esters, was able to

603

convert CO2 into the C2 intermediate glyoxylate (Schwander et al., 2016). In

604

total, 17 enzymes originating from nine organisms of all three domains of life

605

were used for the assembly of the CETCH cycle (Schwander et al., 2016), thus

606

opening the way for future applications in the field of carbon fixation reactions.

607

By using a synthetic biology approach, South et al., 2019 investigated

608

three alternative photorespiratory bypass strategies by generating a total of 17

609

construct designs with and without one RNAi construct in field-grown tobacco.

610

The RNAi approach was used to down regulate a native chloroplast glycolate

611

transporter in the photorespiratory pathway, thereby limiting metabolite flux

612

through the native pathway. Remarkably, the synthetic glycolate metabolism

613

pathway have stimulated crop growth and biomass productivity under both

614

greenhouse and field conditions. Similarly, a new photorespiratory bypass was

615

recently designed in rice by (Shen et al., 2019). By using a multi-gene

616

chloroplastidic bypass, it was possible to create a reduce participation of the

617

glycolate oxidase, oxalate oxidase, and catalase, allowing the generation of the

618

so called GOC pathway. The transgenic plants showed significant increases in

619

photosynthetic efficiency, biomass yield as well as increases nitrogen content

620

under both greenhouse and field conditions (Shen et al., 2019). Altogether,

621

these results coupled with others (Xin et al., 2015; Eisenhut et al., 2019) provide

622

compelling evidence for the potential of creating new photorespiratory bypass

623

by means of synthetic biology. Nevertheless, the effectiveness of such

624

approaches is clearly dependent on the complex metabolic regulation that exist

625

between photorespiration and related metabolic pathways. That being said, not

626

only the current strategies of synthetic biology but also novel approaches to

627

develop synthetic biochemical pathways that bypass photorespiration, hold a

628

highly promising potential for significant yield increases in C3 crops.

629

In addition to the in vitro synthesis of artificial designed carbon fixation

630

pathways (Bar-Even et al., 2010; Schwander et al., 2016), strategies to improve 19

631

carbon fixation have attempt to introduce natural or non-natural CO2 fixation

632

pathways into heterotroph organisms such as E. coli (Antonovsky et al., 2016;

633

Kerfeld, 2016). The functional introduction of a fully non-native CBC was

634

obtained, for the first time, by combining heterologous expression and rational

635

laboratory evolution approaches (Antonovsky et al., 2016; Claassens et al.,

636

2016). Interestingly, isotopic analysis of the biomass content in the transformed

637

strain revealed that the CBC implementation allowed a generation of 35% of the

638

biomass from CO2. Taking into account the most advanced state of the

639

engineering tools available for heterotrophic model microorganisms than to

640

autotrophic hosts, the transplanting of partial, and recently even complete, CO2

641

fixation pathways and other energy-harvesting systems related to autotrophy

642

into heterotrophs can be seen as an alternative promising concept (Claassens

643

et al., 2016). Further advances of synthetic biology in that direction

644

involve complementary approaches (Bailey-Serres et al., 2019) including

645

integrated analysis, higher comprehension of the gene regulatory networks and

646

plastid transformation (for details see Bock, 2014), which may altogether deliver

647

substantial gains in crop performance.

might

648 649 650

Going back to the beginning: De novo domestication

651 652

The process of crop improvement, using either traditional or modern

653

agricultural technologies, has been accompanied by large reductions in the

654

genetic variability available for breeding and also in the nutritional quality of

655

crops (Zsögön et al., 2017). To reverse this situation, adaptive traits taken from

656

wild species can be readily introgressed onto the background of cultivated crops

657

(Dani, 2001), which demonstrate the prospect of de novo domestication (Fernie

658

and Yan, 2019). Once native populations contain the genetic diversity that has

659

been lost through thousands of years of crop domestication, wild plants can be

660

re-domesticated or domesticated de novo by the targeted manipulation of

661

specific genes, in order to generate novel varieties containing the lost traits of

662

interest (Palmgren et al., 2015; Shelef et al., 2017; Wolter et al., 2019). It is

663

important to have in mind that in C3 plants, which represent most of land plants,

664

three major physiological and biochemical limitations, namely the stomatal 20

665

conductance (gs), the mesophyll conductance (gm) and the biochemistry lead by

666

the Rubisco, drives that overall photosynthetic performance. In this context,

667

maximal potential photosynthesis can be limited by individual or combinations of

668

all of specifically if they are co-limiting in a balanced manner. Remarkably,

669

knowing that those photosynthetic limitations are governed by several genes,

670

naturally occurring genetic variation in plants provides itself a powerful tool to

671

not only understand but also to modulate complex physiological traits such as

672

photosynthesis and photorespiration (Nunes-Nesi et al., 2016; de Oliveira Silva

673

et al., 2018; Adachi et al., 2019). The recent perspectives for improving gm in

674

different plant species have been expertly reviewed elsewhere (Lundgren and

675

Fleming, 2019; Cousins et al., 2020; Fernández‐Marín et al., 2020). It is

676

important to mention that molecular mechanisms governing gm still remain

677

mostly unknown. This fact aside, further studies are clearly required to fully

678

understand the biochemical aspects connecting an improved photosynthesis

679

with gm responses. This is particularly true give that improvement of

680

photosynthetic machinery must be combined with fast enough diffusion of CO2,

681

via gm, or the capacity to improve photosynthesis will be severely compromised.

682

Following the genetic transfer of desired traits from wild progenitors to

683

domesticated varieties, it is necessary to elucidate the genetic basis responsible

684

for the phenotypic outcome (Fernie and Yan, 2019). The genetic and molecular

685

dissection of QUANTITATIVE TRAIT LOCI (QTL) and the comparative mapping

686

of segregating populations obtained by crossing of a cultivated accession with

687

its wild relative has been the most common approach used to identify the

688

genetic basis for the phenotypic differences. A detailed study using a set of 76

689

introgression lines (ILs) from a cross between Lycopersicon pennellii and the

690

cultivated cv M82 (Eshed and Zamir, 1995) identified genomic regions involved

691

in the regulation of fundamental physiological processes in tomato (de Oliveira

692

Silva et al., 2018). Interestingly, 14 candidate genes were directly related to

693

photosynthetic rates, as follows: 3 photosynthesis-related genes per se; 6

694

genes related to photosynthesis and starch accumulation; 5 genes related to

695

photosynthesis and root dry mass accumulation.

696

Alongside re-domestication, de novo domestication, i.e., the creation of

697

new crop plants from wild species (Zsögön et al., 2017), has been proposed as

698

an avenue for making agriculture more sustainable in addition to ensuring food 21

699

security (Fernie and Yan, 2019). In combination with synthetic biology

700

approaches, the de novo domestication is a promising tool to boost efforts to

701

rapidly engineer better crops (Zsögön et al., 2018), as can be seen on the list of

702

genes related to domestication (Table 1). Genomic editing technologies have

703

allowed highly precise modifications in the DNA sequence and can represent a

704

breakthrough in plant breeding (Chen et al., 2019; Schindele et al., 2020). Due

705

to its simplicity, efficiency and versatility, CRISPR/Cas9 has overcome the

706

ZFNs and TALENS techniques and has been successfully used to promote

707

precise multiplex modifications on DNA of different organisms, including plants

708

(Armario Najera et al., 2019). By means of the simultaneous editing of multiple

709

targets, CRISPR systems hold a promise to build regulatory circuits, which

710

could create novel traits for precise plant breeding in agriculture (Chen et al.,

711

2019). All this success in DNA editing through the CRISPR/Cas technique has

712

shed new light on plant breeding and will probably allow us to get around the

713

big current challenge of producing food that can supply the demands of a

714

growing world population. Given the current scenario, genome editing through

715

the CRISPR technique has the potential to allow thousands of years of

716

domestication and crop improvement to be revived and restructured, making

717

food production more socially and environmentally sustainable.

718

Although the de novo domestication or re-domestication presents itself

719

as valuable approaches to engineering improved photosynthesis, a cautionary

720

note is the fact that most cultivated plants were selected mainly according to

721

survival or production during evolution (Denison et al., 2014; Leister, 2019b;

722

Weiner, 2019) and not necessarily for higher photosynthetic rates. In this

723

context it should not be overlooked that, the advantageous traits conferring

724

better photosynthesis that we are only starting to reveal, most likely have not

725

been selected under natural conditions or by domestication processes. It seems

726

reasonable to assume therefore that traits that confer higher photosynthesis can

727

be more easily transferred to those crops. It should be noticed that, although

728

higher photosynthesis is clearly an important trait, not only stress-resistant

729

crops are also required to ensure yield stability, but also nutrient efficiency

730

crops should be of special attentions in the near future. It is equally important to

731

mention that the compelling evidence has revealed that improvements of model

732

and non-cultivated species can be achieved by single domestication genes 22

733

(reviewed in Fernie and Yan, 2019; Bailey-Serres et al., 2019; Zsögön et al.,

734

2017).

735

By

regulating

diverse

pathways

involved

in

plant

growth

and

736

development, transcription factors (TFs) also represent an important class of

737

potential targets for modifying domestication-related phenotypes and conferring

738

tolerance to environmental stress (Ambavaram et al., 2014; Wu et al., 2019). In

739

agreement, several examples of TFs modification strategies have been used in

740

different species. For instance, by using transgenic rice plants expressing the

741

TF HYR (HIGHER YIELD RICE) it was demonstrated that HYR is a master

742

regulator, directly activating cascades of TFs and other downstream genes

743

involved in photosynthetic carbon metabolism and yield stability under either

744

normal or drought conditions (Ambavaram et al., 2014). In addition, the control

745

of grain size and rice yield performed by OsGRF4 (Growth Regulating Factor 4)

746

appears to occur by modulating specific brassinosteroid-induced responses

747

(Che et al., 2015; Liebsch and Palatnik, 2020). Moreover, the overexpression of

748

a maize MADS-box transcription factor gene, zmm28 culminated with increases

749

in growth, photosynthesis capacity, and nitrogen utilization in maize (Wu et al.,

750

2019). Altogether, these and other examples justify the overrepresentation of

751

TFs in the list of known genes underlying domestication (Olsen and Wendel,

752

2013; Zhu et al., 2019) and make TFs potentially suitable for targeted

753

modification by synthetic biology tools.

754 755

A long road ahead: the best of synthetic biology is yet to come

756 757

Much attention has been given to the improvement of photosynthesis as

758

an approach to optimize crop yields to fulfil human needs for food and energy

759

(Nowicka et al., 2018). Plant biotechnology is currently facing a dramatic

760

challenge to develop crops with higher yield, increased resilience and higher

761

nutritional content. Recent developments in genome editing and genetic

762

manipulation have been used to boost an impressive number of targeted

763

approaches to simultaneously produce more and more sustainably. Even

764

though more targeted and precise genetic manipulation strategies have been

765

recently generated in plant photosynthesis, a range of challenges remains. In

766

conjunction with extensive system biology data, these manipulations have 23

767

clearly advanced our understanding of the contribution of individual genes,

768

transcripts,

769

Considering the tremendous amount of time and resources invested to

770

‘improve’ plants (Weiner, 2019), the observations above raise the question of

771

how, when and to what extent these improvements will solve world food crises

772

(Sinclair et al., 2019). The fact that evolution has not already provided such

773

‘improved’ plants in nature by positively selecting mutations demonstrate that

774

more progress is likely to happen if breeders think in terms of ‘trade-offs’

775

instead of ‘improvements’ (Weiner, 2019). Moreover, revolutionary synthetic

776

biology technologies must be effectively engaged to access new opportunities

777

aimed at transform agriculture (Wurtzel et al., 2019) and provide not only

778

improved yield but also stress resilient crops, while facing major climatic

779

changes (Bailey-Serres et al., 2019). Alternatively, it is quite probable that

780

photosynthesis will be made more efficient if designed outside of plants (Liu et

781

al., 2016; Weiner, 2019), by means of future developments of enzymology and

782

computational approaches to overcome the limitations associated with the

783

execution of synthetic pathways that are now tractable to be designed in silico

784

(Erb, 2019). Once synthetic biology has opened the door toward comprehensive

785

networks for the utilization of solar energy and carbon sources (Luan et al.,

786

2020), the future will tell us whether synthetic biology will fully develop its

787

tremendous potential for building completely novel pathways and crops in

788

predictable desired directions and, thus, provide the solutions for the social,

789

economic and environmental challenges we already have at hand.

proteins

and

metabolites

for

photosynthetic

performance.

790 791

Author Contributions

792

W.B-S., and P. F-P. jointly wrote the original manuscript draft, prepared the

793

figures and table. A.O.M. contributed to writing and preparation of figures and

794

tables. A.Z., A.N-N., and W.L.A. planned the review outline. All authors

795

contributed to the reviewing and editing of the manuscript.

796 797

Acknowledgements

798

This work was made possible through financial support from the Serrapilheira

799

Institute (grant Serra-1812-27067), the Max Planck Society, the CNPq (National

800

Council for Scientific and Technological Development, Brazil) [grant No. 24

801

402511/2016-6]; the FAPEMIG (Foundation for Research Assistance of the

802

Minas Gerais State, Brazil) [grant Nos. APQ-01357-14, APQ-01078-15, and

803

RED-00053-16]. We also thank the scholarships granted by the Brazilian

804

Federal Agency for Support and Evaluation of Graduate Education (CAPES-

805

Brazil) to PF-P and WB-S. Research fellowships granted by CNPq-Brazil to

806

ANN and WLA are also gratefully acknowledged. No conflict of interest

807

declared.

808 809 810 811 812

25

813

Figure legends

814 815

Figure 1 - Light reactions and potential targets for improvement

816

strategies. Overview of linear electron flow from water oxidation by OEC (gray

817

rectangle) in the PSII LHCII super complex (light green), though cytochrome b6f

818

(orange), to PTOX (light red circle) and/or PC (circle red) or algal cytochrome c6

819

(opened rectangle), then to PSI-LHCI (light green), followed by reduction of

820

NADP+ by ferredoxin (brown) and ferredoxin:NADP+ reductase (oval purple

821

circle), releasing protons into the lumen, which is then used to drive the ATP

822

biosynthesis by ATP synthase (blue). In addition to linear electron flow, there

823

are also cyclic electron transfer pathways that mediated by PGR5/PGRL1 or

824

NDH complex (purple). These pathways confer dynamic protection preventing

825

the production of ROS Noteworthy, ion channels, such as TPK3 and KEA3

826

(yellow), can be modulated by light fluctuations, regulating the proton motive

827

force in the chloroplast and thus be important regulators of ATP biosynthesis by

828

exchanging K+ and H+ between stroma and lumen. Moreover, recently in

829

Nicotina benthamiana a new strategy rerouting electron transferred by PSI to

830

P450s monooxygenase was performed (Mellor et al., 2016; Urlacher and

831

Girhard, 2019).CYP fused into Fd was expressed in the thylakoid membrane of

832

chloroplasts, enabling direct coupling of photosynthetic electron transfer to the

833

heme iron reduction. The reducing power (e−) needed for dhurrin formation in

834

the chloroplast is thus ultimately derived by the water splitting activity of PSII

835

(pink, gray and yellow intermembrane canes). Abbreviation:

836

Photosystem I light-harvesting complex I; PSII-LHCII, Photosystem II light-

837

harvesting complex II; PQ, Plastoquinone; PQH, semi-plastoquinone; PTOX,

838

plastoquinol terminal oxidase;

839

Cytb6f, cytochrome b6f; OEC, oxygen-evolving complex; Fd; ferredoxin; NDH,

840

NAD(P)H dehydrogenase; PGR5, proton gradient regulation 5; PGRL1, PGR5-

841

like protein 1; TPK3, two-pore K+ channel3 ; KEA3, potassium cation efflux

842

antiporter3.

PSI-LHCI,

PC, plastocyanin; Cyt C6, cytochrome C6;

843 844 845

26

846

Figure 2 - Photosynthetic mechanisms and strategies used to introduce

847

carbon concentration mechanisms (CCMs) into C3 plants. A) Converting

848

C3 into C4 mechanism. The transition from C3 to C4 metabolism requires the

849

differentiation of photosynthetically active vascular BS cells, modification in the

850

biochemistry reactions of several enzymes and modulation of metabolites

851

transport in both inter and intracellular compartments, as well as transferring

852

GDC into BS cell (Schuler et al., 2018). B) Converting C3 into Crassulacean

853

Acid Metabolism (CAM). The pathway of CAM in a mesophyll cell is temporally

854

separated. The different background color indicates light at the top and dark at

855

the bottom. The green-boxes on both sides indicate the epidermis under these

856

two different conditions (opened – night and closed – day). As an alternative

857

engineering target and less complicate process not involving changes in

858

morphological structure, is the introduction of CAM metabolism into C3 plants.

859

Such engineering requires precise control of several key enzymes, such as

860

PEP carboxylase, malic enzyme, and RuBisCO (Kubis and Bar-Even, 2019). C)

861

Transferring cyanobacteria and algal CCM components to C3 chloroplasts.

862

Transfer of HCO3- transporter (red and yellow circle) on inner chloroplast

863

membrane and expression of functional carboxysome (yellow icosahedron) and

864

introducing an algal pyrenoid CCM (brown circle) in the chloroplast stroma.

865

Long et al., (2018) using sophisticated approaches took us to a closer step to

866

achieving high stromal HCO3- pool in the presence of functional carboxysome

867

increasing CO2 fixation and yield up to 60% in transformed tobacco, as

868

previously predicted by McGrath and Long (2014). Abbreviations: Asp,

869

Aspartate; CA, carbonic anidrase; GDC, glycine decarboxylase; PEP,

870

phosphoenolpyruvate; PEPcase, phosphoenolpyruvate carboxylase; PPDK,

871

pyruvate phosphate dikinase; ME, malic enzyme.

872

27

873

Figure 3 - Calvin-Benson Cycle (CBC) advances, RuBP supply and

874

photorespiratory bypasses. RuBisCO catalyze CO2 and O2 fixation. The

875

product of CO2 fixation is the 3PGA that enters in the CBC and can be directed

876

to starch biosynthesis and/or sugars in the cytosol (black arrow). In addition, the

877

oxygenation drives the production of 2PGA, which is metabolized in the C2

878

photorespiratory pathway (blue arrows). Recently, three new synthetic

879

photorespiratory bypasses have been proposed to improve the carbon

880

assimilation and reduce photorespiration losses in C3 plants. See details in pink

881

circles (1), glycolate is diverted into glycerate within the chloroplast, shifting the

882

release of CO2 from mitochondria to chloroplasts, and reducing ammonia

883

release (dashed light green arrows) (For details see Kebeish et al., 2007); (2)

884

Peroxisomal pathway, catalyzed by two Escherichia coli enzymes, convert

885

glyoxylate into hydroxypyruvate and CO2 in a two-step process (brown) (For

886

details see Peterhänsel et al., 2012); (3) Lastly, bypass 3 is considered a non-

887

real bypass since the glycolate is completely oxidized into CO2 inside

888

chloroplasts by both newly introduced and native enzymes (dashed red arrows)

889

(For details see Peterhänsel et al., 2012; Fonseca-Pereira et al., 2020). In

890

parallel, overexpression of GDC (oval circle gray) in Arabidopsis increased net

891

carbon assimilation. Besides of that, RuBisCO activity is also limited by RuBP

892

regeneration, which involved two main enzymes, SBPase and FBPA (oval circle

893

yellow). The combination of SBPase and FBPA overexpression resulted in

894

cumulative positive effects on leaf area and biomass accumulation (Parry et al.,

895

2017). Recent studies have showed that BSD2 (red star) chaperone is crucial

896

for cyanobacterial RuBisCO assembly into functional enzyme in tobacco

897

(Conlan et al., 2018). Therefore, all these changes are considered important

898

check point targets to optimize and improve the photosynthetic efficiency.

899

Abbreviations: 3PGA, 3-phosphoglycerate; CBC, Calvin-Benson cycle; FBPA,

900

fructose-1,6-bisphosphate

901

bisphosphatase; BSD2, bundle sheath defective 2 protein.

aldolase;

SBPase,

sedoheptulose-1,7-

902

28

903

Table 1 - Some domesticated genes that are providing improvements on photosynthetic rates and/or crops yield. Crop

Domesticated genes

Function

Traits

Reference

Fructose-1,6-bisphosphate FBPA/SBPase:

aldolase/Sedoheptulose-1,7bisphosphatase

ictB

Increases on photosynthetic

leaf (Simkin Cyanobacterial putative2015) area, and biomass yield inorganic carbon transporter carbon

assimilation,

et

al.,

B, Tobacco

Tomato

(López-Calcagno

GCS H-protein

Glycine cleavage system

Biomass yield

PsbS

Photosystem II Subunit S

(Głowacka et al., Reduction in water loss per CO2 assimilated 2018)

ZEP VDE PsbS

Zeaxanthin epoxidase Volaxanthinde-epoxidase Photosystem II Subunit S

SP (Self pruning)

Flowering repressor

SBPase

Sedoheptulose-1,7bisphosphatase

ictB

Inorganic carbon transporter B

Rice

Increased leaf CO2 uptake and plant dry matter productivity A quick burst of flower production that translates to an early yield Enhancement of photosynthesis to high temperature Higher photosynthesis and carboxylation efficiencies, lower CO2 compensation

et al., 2018)

(Kromdijk et al., 2016b) (Soyk et al., 2017) (Feng et al., 2007a) (Yang et al., 2008)

29

points Fructose-1,6-bisphosphate Net photosynthetic rate, aldolase/Sedoheptulose-1,7(Gong et al., 2017) carboxylation efficiency bisphosphatase Formerly icfA: inorganic ccaA carbon fixation A Sugars Will Eventually be (Sosso et al., ZmSWEET4c/OsSWEET4 Seed filling Exported Transporters 2015) FBPA/SBPase

Wheat

SBPase

Maize

ZmSWEET4c/OsSWEET4

PRK

Sedoheptulose-1,7-

Improves

bisphosphatase

and grain yield

Sugars

will

eventually

be

exported transporters Phosphoribulokinase

GDC L-protein

Glycine cleavage system

et

al.,

et

al.,

2017) (Sosso

Seed filling

2015)

Photosynthetic

capacity, (López-Calcagno

growth and seed yield increased

Arabidopsis

photosynthesis (Driever

rates

of

et al., 2017) CO2

assimilation, photorespiration, and plant

(Timm et al., 2015)

growth

soybean

PetC

Rieske FeS subunit of the Cytochrome b6f complex

ictB

Inorganic carbon transporter B

increases electron transport (Simkin et al., rates and biomass yield 2017a) Increases in photosynthetic (Hay et al., 2017) CO2 and dry mass

30

Setaria viridis

PetC

Rieske FeS subunit of the Cytochrome b6f complex

Better light conversion (Ermakova et al., efficiency, higher CO2 2019a) assimilation

31

904

References

905

Aigner, H., Wilson, R. H., Bracher, A., Calisse, L., Bhat, J. Y., Hartl, F. U.,

906

and Hayer-Hartl, M. (2017). Plant RuBisCo assembly in E. coli with five

907

chloroplast chaperones including BSD2. Science (80-. ). 358:1272–1278.

908

Aliscioni, S., Bell, H. L., Besnard, G., Christin, P. A., Columbus, J. T.,

909

Duvall, M. R., Edwards, E. J., Giussani, L., Hasenstab-Lehman, K.,

910

Hilu, K. W., et al. (2012). New grass phylogeny resolves deep evolutionary

911

relationships and discovers C4 origins. New Phytol. 193:304–312.

912

Ambavaram, M. M. R., Basu, S., Krishnan, A., Ramegowda, V., Batlang, U.,

913

Rahman, L., Baisakh, N., and Pereira, A. (2014). Coordinated regulation

914

of photosynthesis in rice increases yield and tolerance to environmental

915

stress. Nat. Commun. 5:1–14.

916

Amthor, J. S. (2010). From sunlight to phytomass: on the potential efficiency of

917

converting solar radiation to phyto-energy. New Phytol. 188:939–959.

918

Antonovsky, N., Gleizer, S., Noor, E., Zohar, Y., Herz, E., Barenholz, U.,

919

Zelcbuch, L., Amram, S., Wides, A., Tepper, N., et al. (2016). Sugar

920

synthesis from CO2 in Escherichia coli. Cell 166:115–125.

921

Armario Najera, V., Twyman, R. M., Christou, P., and Zhu, C. (2019).

922

Applications of multiplex genome editing in higher plants. Curr. Opin.

923

Biotechnol. 59:93–102.

924

Atkinson, N., Leitão, N., Orr, D. J., Meyer, M. T., Carmo-Silva, E., Griffiths,

925

H., Smith, A. M., and McCormick, A. J. (2017). Rubisco small subunits

926

from the unicellular green alga Chlamydomonas complement Rubisco-

927

deficient mutants of Arabidopsis. New Phytol. 214:655–667.

928

Bailey-Serres, J., Parker, J. E., Ainsworth, E. A., Oldroyd, G. E. D., and

929

Schroeder, J. I. (2019). Genetic strategies for improving crop yields.

930

Nature 575:109–118.

931

Bar-Even, A. (2018). Daring metabolic designs for enhanced plant carbon 32

932

fixation. Plant Sci. 273:71–83.

933

Bar-Even, A., Noor, E., Lewis, N. E., and Milo, R. (2010). Design and analysis

934

of synthetic carbon fixation pathways. Proc. Natl. Acad. Sci. 107:8889–

935

8894.

936

Betti, M., Bauwe, H., Busch, F. A., Fernie, A. R., Keech, O., Levey, M., Ort,

937

D. R., Parry, M. A. J., Sage, R., Timm, S., et al. (2016). Manipulating

938

photorespiration to increase plant productivity: Recent advances and

939

perspectives for crop improvement. J. Exp. Bot. 67:2977–2988.

940

Bielczynski, L. W., Schansker, G., and Croce, R. (2019). Consequences of

941

the reduction of the PSII antenna size on the light acclimation capacity of

942

Arabidopsis thaliana. Plant Cell Environ. Advance Access published 2019,

943

doi:10.1111/pce.13701.

944

Blanco, N. E., Ceccoli, R. D., Segretin, M. E., Poli, H. O., Voss, I., Melzer,

945

M., Bravo-Almonacid, F. F., Scheibe, R., Hajirezaei, M. R., and Carrillo,

946

N. (2011). Cyanobacterial flavodoxin complements ferredoxin deficiency in

947

knocked-down transgenic tobacco plants. Plant J. 65:922–935.

948

Blankenship, R. E., Tiede, D. M., Barber, J., Brudvig, G. W., Fleming, G.,

949

Ghirardi, M., Gunner, M. R., Junge, W., Kramer, D. M., Melis, A., et al.

950

(2011). Comparing photosynthetic and photovoltaic efficiencies and

951

recognizing the potential for improvement. Science (80-. ). 332:805–809.

952

Bock, R. (2014). Genetic engineering of the chloroplast: Novel tools and new

953 954

applications. Curr Opin Biotechnol 26:7–13. Borland, A. M., Griffiths, H., Hartwell, J., and Smith, J. A. C. (2009).

955

Exploiting the potential of plants with crassulacean acid metabolism for

956

bioenergy production on marginal lands. J. Exp. Bot. 60:2879–2896.

957

Borland, A. M., Barrera Zambrano, V. A., Ceusters, J., and Shorrock, K.

958

(2011). The photosynthetic plasticity of crassulacean acid metabolism: An

959

evolutionary innovation for sustainable productivity in a changing world.

960

New Phytol. 191:619–633. 33

961

Borland, A. M., Hartwell, J., Weston, D. J., Schlauch, K. A., Tschaplinski, T.

962

J., Tuskan, G. A., Yang, X., and Cushman, J. C. (2014). Engineering

963

crassulacean acid metabolism to improve water-use efficiency. Trends

964

Plant Sci. 19:327–338.

965

Bracher, A., Whitney, S. M., Hartl, F. U., and Hayer-Hartl, M. (2017).

966

Biogenesis and Metabolic Maintenance of Rubisco. Annu. Rev. Plant Biol.

967

68:29–60.

968

Cannella, D., Möllers, K. B., Frigaard, N. U., Jensen, P. E., Bjerrum, M. J.,

969

Johansen, K. S., and Felby, C. (2016). Light-driven oxidation of

970

polysaccharides by photosynthetic pigments and a metalloenzyme. Nat.

971

Commun. 7:1–8.

972

Carpenter, S. D., Ohad, I., and Vermaas, W. F. J. (1993). Analysis of chimeric

973

spinach/cyanobacterial CP43 mutants of Synechocystis sp. PCC 6803: The

974

chlorophyll-protein CP43 affects the water-splitting system of photosystem

975

II. BBA - Bioenerg. 1144:204–212.

976

Che, R., Tong, H., Shi, B., Liu, Y., Fang, S., Liu, D., Xiao, Y., Hu, B., Liu, L.,

977

Wang, H., et al. (2015). Control of grain size and rice yield by GL2-

978

mediated brassinosteroid responses. Nat. Plants 1.

979

Chen, K., Wang, Y., Zhang, R., Zhang, H., and Gao, C. (2019). CRISPR/Cas

980

genome editing and precision plant breeding in agriculture. Annu Rev Plant

981

Biol. 70:667–697.

982

Chiaramonte, S., Giacometti, G. M., and Bergantino, E. (1999). Construction

983

and characterization of a functional mutant of Synechocystis 6803

984

harbouring a eukaryotic PSII-H subunit. Eur. J. Biochem. 260:833–843.

985

Chida, H., Nakazawa, A., Akazaki, H., Hirano, T., Suruga, K., Ogawa, M.,

986

Satoh, T., Kadokura, K., Yamada, S., Hakamata, W., et al. (2007).

987

Expression of the algal cytochrome c 6 gene in Arabidopsis enhances

988

photosynthesis and growth. Plant Cell Physiol. 48:948–957.

989

Claassens, N. J., Sousa, D. Z., Martins, V. A. P., and Vos, W. M. De (2016). 34

990 991 992

Harnessing the power of microbial autotrophy. Nat. Publ. Gr. 14:692–706. Conlan, B., and Whitney, S. (2018). Preparing Rubisco for a tune up. Nat. Plants 4:12–13.

993

Conlan, B., Birch, R., Kelso, C., Holland, S., De Souza, A. P., Long, S. P.,

994

Beck, J. L., and Whitney, S. M. (2019). BSD2 is a Rubisco-specific

995

assembly chaperone, forms intermediary hetero-oligomeric complexes, and

996

is nonlimiting to growth in tobacco. Plant Cell Environ. 42:1287–1301.

997

Cousins, A. B., Mullendore, D. L., and Sonawane, B. V. (2020). Recent

998

developments in mesophyll conductance in C3, C4 and CAM plants. Plant

999

J. Advance Access published 2020, doi:10.1111/tpj.14664.

1000 1001 1002 1003 1004

Dani, Z. (2001). Improving plant breeding with exotic genetic libraries. Nat. Rev. Genet. 2:3–9. Dann, M., and Leister, D. (2017). Enhancing (crop) plant photosynthesis by introducing novel genetic diversity. Philos. Trans. R. Soc. B Biol. Sci. 372. de Oliveira Silva, F. M., Lichtenstein, G., Alseekh, S., Rosado-Souza, L.,

1005

Conte, M., Suguiyama, V. F., Lira, B. S., Fanourakis, D., Usadel, B.,

1006

Bhering, L. L., et al. (2018). The genetic architecture of photosynthesis

1007

and plant growth-related traits in tomato. Plant Cell Environ. 41:327–341.

1008

Dean Price, G., Badger, M. R., and von Caemmerer, S. (2011). The prospect

1009

of using cyanobacterial bicarbonate transporters to improve leaf

1010

photosynthesis in C3 crop plants. Plant Physiol. 155:20–26.

1011

Dean Prince, G., Pengelly, J. J. L., Foster, B., Du, J., Whitney, S. M., Von

1012

Caemmerer, S., Badger, M. R., Howitt, S. M., and Evans, J. R. (2013).

1013

The cyanobacterial CCM as a source of genes for improving photosynthetic

1014

CO2 fixation in crop species. J. Exp. Bot. 64:753–768.

1015

Denison, F. R., Kiers, T. E., and West, S. A. (2014). Darwinian agriculture:

1016

When can humans find solutions beyond the reach of natural selection?

1017

Chic. J. 78:145–168.

35

1018

Denton, A. K., Simon, R., and Weber, A. P. M. (2013). C4 photosynthesis:

1019

from evolutionary analyses to strategies for synthetic reconstruction of the

1020

trait. Curr Opin Plant Biol. 16:315–321.

1021

Ding, F., Wang, M., Zhang, S., and Ai, X. (2016). Changes in SBPase activity

1022

influence photosynthetic capacity, growth, and tolerance to chilling stress in

1023

transgenic tomato plants. Sci Rep. 6:32741.

1024

Driever, S. M., Simkin, A. J., Alotaibi, S., Fisk, S. J., Madgwick, P. J.,

1025

Sparks, C. A., Jones, H. D., Lawson, T., Parry, M. A. J., and Raines, C.

1026

A. (2017). Increased SBPase activity improves photosynthesis and grain

1027

yield in wheat grown in greenhouse conditions. Philos Trans R Soc.

1028

Advance Access published September 2017, doi:10.1098/rstb.2016.0384.

1029

Edwards, E. J. (2019). Evolutionary trajectories , accessibility and other

1030

metaphors : the case of C4 and CAM. New Phytol. 223:1742–1755.

1031

Eisenhut, M., Roell, M. S., and Weber, A. P. M. (2019). Mechanistic

1032

understanding of photorespiration paves the way to a new green revolution.

1033

New Phytol. 223:1762–1769.

1034 1035 1036

Ellis, R. J. (1979). The most abundant protein in the world. Trends Biochem. Sci. 4:241–244. Erb, T. J. (2019). Back to the future: Why we need enzymology to build a

1037

synthetic metabolism of the future. Beilstein J. Org. Chem. 15:551–557.

1038

Erb, T. J., and Zarzycki, J. (2018). A short history of RubisCO: the rise and fall

1039

(?) of Nature’s predominant CO2 fixing enzyme. Curr Opin Biotechnol.

1040

49:100–107.

1041

Ermakova, M., Lopez-Calcagno, P. E., Raines, C. A., Furbank, R. T., and

1042

von Caemmerer, S. (2019a). Overexpression of the Rieske FeS protein of

1043

the Cytochrome b6f complex increases C4 photosynthesis in Setaria viridis.

1044

Commun. Biol. 2:1–12.

1045

Ermakova, M., Danila, F. R., Furbank, R. T., and Von Caemmerer, S.

36

1046

(2019b). On the road to C4 rice: advances and perspectives. Plant J.

1047

Advance Access published 2019, doi:10.1111/tpj.14562.

1048

Eshed, Y., and Zamir, D. (1995). An introgression line population of

1049

Lycopersicon pennellii in the cultivated tomato enables the identification

1050

and fine mapping of yield- associated QTL. Genetics 141:1147–1162.

1051

Éva, C., Oszvald, M., and Tamás, L. (2019). Current and possible approaches

1052

for improving photosynthetic efficiency. Plant Sci. 280:433–440.

1053

Feng, L., Wang, K., Li, Y., Tan, Y., Kong, J., Li, H., Li, Y., and Zhu, Y.

1054

(2007a). Overexpression of SBPase enhances photosynthesis against high

1055

temperature stress in transgenic rice plants. Plant Cell Rep. 26:1635–1646.

1056

Feng, L., Han, Y., Liu, G., An, B., Yang, J., Yang, G., Li, Y., and Zhu, Y.

1057

(2007b). Overexpression of sedoheptulose-1,7-bisphosphatase enhances

1058

photosynthesis and growth under salt stress in transgenic rice plants. Funct

1059

Plant Biol. 34:822–834.

1060 1061 1062

Fernie, A. R., and Yan, J. (2019). De novo domestication: An alternative route toward new crops for the future. Mol. Plant 12:615–631. Foyer, C. H., Ruban, A. V, and Nixon, P. J. (2017). Photosynthesis solutions

1063

to enhance productivity. Phil Trans R Soc. 372:20160374.

1064

Fuentes, P., Armarego-Marriott, T., and Bock, R. (2018). Plastid

1065

transformation and its application in metabolic engineering. Curr Opin

1066

Biotechnol. 49:10–15.

1067

Fukayama, H., Ueguchi, C., Nishikawa, K., Katoh, N., Ishikawa, C.,

1068

Masumoto, C., Hatanaka, T., and Misoo, S. (2012). Overexpression of

1069

rubisco activase decreases the photosynthetic CO2 assimilation rate by

1070

reducing rubisco content in rice leaves. Plant Cell Physiol. 53:976–986.

1071

Gimpel, J. A., Nour-Eldin, H. H., Scranton, M. A., Li, D., and Mayfield, S. P.

1072

(2016). Refactoring the six-gene photosystem II core in the chloroplast of

1073

the green algae Chlamydomonas reinhardtii. ACS Synth. Biol. 5:589–596.

37

1074

Głowacka, K., Kromdijk, J., Kucera, K., Xie, J., Cavanagh, A. P., Leonelli,

1075

L., Leakey, A. D. B., Ort, D. R., Niyogi, K. K., and Long, S. P. (2018).

1076

Photosystem II Subunit S overexpression increases the efficiency of water

1077

use in a field-grown crop. Nat. Commun. 9.

1078

Gong, H. Y., Li, Y., Fang, G., Hu, D. H., Jin, W. Bin, Wang, Z. H., and Li, Y.

1079

S. (2015). Transgenic rice expressing Ictb and FBP/Sbpase derived from

1080

cyanobacteria exhibits enhanced photosynthesis and mesophyll

1081

conductance to CO2. PLoS One 10:e0140928.

1082

Gong, H. Y., Li, Y., Fang, G., Hu, D. H., Wang, Z. H., Yu, G. H., and Li, Y. S.

1083

(2017). ccaA and FBP/SBPase derived from cyanobacteria improved

1084

photosynthetic capacity in rice. Plant Mol Biol Rep. 35:619–633.

1085 1086

Hagemann, M., and Bauwe, H. (2016). Photorespiration and the potential to improve photosynthesis. Curr. Opin. Chem. Biol. 35:109–116.

1087

Hanson, M. R., Lin, M. T., Carmo-Silva, A. E., and Parry, M. A. J. (2016).

1088

Towards engineering carboxysomes into C3 plants. Plant J. 87:38–50.

1089

Harada, K., Arizono, T., Sato, R., Duy, M., and Trinh, L. (2019). DLDG1 , the

1090

Arabidopsis homolog of the cyanobacterial H + -extrusion protein ,

1091

regulates non-photochemical quenching in chloroplasts. bioRxiv Advance

1092

Access published 2019.

1093

Hay, W. T., Bihmidine, S., Mutlu, N., Hoang, K. Le, Awada, T., Weeks, D. P.,

1094

Clemente, T. E., and Long, S. P. (2017). Enhancing soybean

1095

photosynthetic CO2 assimilation using a cyanobacterial membrane protein,

1096

ictB. J. Plant Physiol. 212:58–68.

1097

Hibberd, J. M., Sheehy, J. E., and Langdale, J. A. (2008). Using C4

1098

photosynthesis to increase the yield of rice-rationale and feasibility. Curr.

1099

Opin. Plant Biol. 11:228–231.

1100

Ishikawa, C., Hatanaka, T., Misoo, S., Miyake, C., and Fukayama, H. (2011).

1101

Functional incorporation of sorghum small subunit increases the catalytic

1102

turnover rate of rubisco in transgenic rice. Plant Physiol. 156:1603–1611. 38

1103

Ito, H., Kondo, R., Yoshimori, K., and Kamachi, T. (2018). Methane

1104

hydroxylation with water as an electron donor under light irradiation in the

1105

presence of reconstituted membranes containing both photosystem II and a

1106

methane monooxygenase. ChemBioChem 19:2152–2155.

1107

Jensen, P. E., and Scharff, L. B. (2019). Engineering of plastids to optimize

1108

the production of high-value metabolites and proteins. Curr. Opin.

1109

Biotechnol. 59:8–15.

1110 1111 1112

Jensen, K., Jensen, P. E., and Møller, B. L. (2011). Light-driven cytochrome P450 hydroxylations. ACS Chem. Biol. 6:533–539. John Andralojc, P., Carmo-Silva, E., Degen, G. E., and Parry, M. A. J.

1113

(2018). Increasing metabolic potential: C-fixation. Essays Biochem.

1114

62:109–118.

1115

Kebeish, R., Niessen, M., Thiruveedhi, K., Bari, R., Hirsch, H.-J.,

1116

Rosenkranz, R., Stäbler, N., Schönfeld, B., Kreuzaler, F., and

1117

Peterhänsel, C. (2007). Chloroplastic photorespiratory bypass increases

1118

photosynthesis and biomass production in Arabidopsis thaliana. Nat.

1119

Biotechnol 25:593–599.

1120 1121 1122

Kerfeld, C. A. (2016). Rewiring Escherichia coli for carbon-dioxide fixation. Nat. Biotechnol. 34:1035–1036. Kornienko, N., Zhang, J. Z., Sakimoto, K. K., Yang, P., and Reisner, E.

1123

(2018). Interfacing nature’s catalytic machinery with synthetic materials for

1124

semi-artificial photosynthesis. Nat. Nanotechnol. 13:890–899.

1125

Kramer, D. M., Avenson, T. J., and Edwards, G. E. (2004). Dynamic flexibility

1126

in the light reactions of photosynthesis governed by both electron and

1127

proton transfer reactions. Trends Plant Sci. 9:349–357.

1128

Kromdijk, J., Głowacka, K., Leonelli, L., Gabilly, S. T., Iwai, M., Niyogi, K.

1129

K., and Long, S. P. (2016a). Improving photosynthesis and crop

1130

productivity by accelerating recovery from photoprotection. Science (80-. ).

1131

354. 39

1132

Kromdijk, J., Głowacka, K., Leonelli, L., Gabilly, S. T., Iwai, M., Niyogi, K.

1133

K., and Long, S. P. (2016b). Improving photosynthesis and crop

1134

productivity by accelerating recovery from photoprotection. Science (80-. ).

1135

354:857–861.

1136 1137 1138

Kubis, A., and Bar-Even, A. (2019). Synthetic biology approaches for improving photosynthesis. J. Exp Bot 70:1425–1433. Kupriyanova, E. V., Sinetova, M. A., Cho, S. M., Park, Y. Il, Los, D. A., and

1139

Pronina, N. A. (2013). CO2-concentrating mechanism in cyanobacterial

1140

photosynthesis: Organization, physiological role, and evolutionary origin.

1141

Photosynth. Res. 117:133–146.

1142

Kurek, I., Thom, K. C., Bertain, S. M., Madrigal, A., Liu, L., Lassner, M. W.,

1143

and Zhu, G. (2007). Enhanced thermostability of Arabidopsis Rubisco

1144

activase improves photosynthesis and growth rates under moderate heat

1145

stress. Plant Cell 19:3230–3241.

1146

Kurz, S., Mettler-Altmann, T., Schlüter, U., Weber, A. P. M., Bräutigam, A.,

1147

Gowik, U., Melzer, M., and Christin, P.-A. (2016). Photosynthesis in C3–

1148

C4 intermediate Moricandia species. J Exp Bot. 68:191–206.

1149

Lefebvre, S., Lawson, T., Fryer, M., Zakhleniuk, O. V., Lloyd, J. C., and

1150

Raines, C. A. (2005). Increased sedoheptulose-1,7-bisphosphatase activity

1151

in transgenic tobacco plants stimulates photosynthesis and growth from an

1152

early stage in development. Plant Physiol. 138:451–460.

1153 1154 1155 1156 1157 1158 1159

Leister, D. (2012). How can the light reactions of photosynthesis be improved in plants? Front Plant Sci. 3:1–3. Leister, D. (2019a). Thawing out frozen metabolic accidents. BMC Biol. 17:1– 11. Leister, D. (2019b). Genetic engineering, synthetic biology and the light reactions of photosynthesis. Plant Physiol 179:778–793. Liebsch, D., and Palatnik, J. F. (2020). MicroRNA miR396, GRF transcription

40

1160

factors and GIF co-regulators: a conserved plant growth regulatory module

1161

with potential for breeding and biotechnology. Curr. Opin. Plant Biol. 53:31–

1162

42.

1163

Lieman-Hurwitz, J., Rachmilevitch, S., Mittler, R., Marcus, Y., and Kaplan,

1164

A. (2003). Enhanced photosynthesis and growth of transgenic plants that

1165

express ictB , a gene involved in HCO 3 − accumulation in cyanobacteria .

1166

Plant Biotechnol. J. 1:43–50.

1167

Lin, M. T., Occhialini, A., Andralojc, P. J., Devonshire, J., Hines, K. M.,

1168

Parry, M. A. J., and Hanson, M. R. (2014a). β-Carboxysomal proteins

1169

assemble into highly organized structures in Nicotiana chloroplasts. Plant J.

1170

79:1–12.

1171

Lin, M. T., Occhialini, A., Andralojc, P. J., Parry, M. A. J., and Hanson, M. R.

1172

(2014b). A faster Rubisco with potential to increase photosynthesis in

1173

crops. Nature 513:547–550.

1174

Liu, C., Colón, B., Ziesack, M., Silver, P., and Nocera, D. (2016). Water

1175

splitting–biosynthetic system with CO2 reduction efficiencies exceeding

1176

photosynthesis. A Dictionary, Pract. Theor. Hist. Commer. Commer. Navig.

1177

Advance Access published 2016, doi:10.1017/cbo9781139941785.014.

1178 1179 1180 1181

Liu, J., Lu, Y., Hua, W., and Last, R. L. (2019). A new light on photosystem II maintenance in oxygenic photosynthesis. Front Plant Sci. 10. Long, S. P., Zhu, X. G., Naidu, S. L., and Ort, D. R. (2006). Can improvement in photosynthesis increase crop yields? Plant, Cell Environ. 29:315–330.

1182

Long, S. P., Marshall-Colon, A., and Zhu, X. G. (2015). Meeting the global

1183

food demand of the future by engineering crop photosynthesis and yield

1184

potential. Cell 161:56–66.

1185

Long, B. M., Rae, B. D., Rolland, V., Förster, B., and Price, G. D. (2016).

1186

Cyanobacterial CO2-concentrating mechanism components: Function and

1187

prospects for plant metabolic engineering. Curr. Opin. Plant Biol. 31:1–8.

41

1188

Long, B. M., Hee, W. Y., Sharwood, R. E., Rae, B. D., Kaines, S., Lim, Y. L.,

1189

Nguyen, N. D., Massey, B., Bala, S., von Caemmerer, S., et al. (2018).

1190

Carboxysome encapsulation of the CO2-fixing enzyme Rubisco in tobacco

1191

chloroplasts. Nat. Commun. 9.

1192

López-Calcagno, P. E., Abuzaid, A. O., Lawson, T., and Raines, C. A.

1193

(2017). Arabidopsis CP12 mutants have reduced levels of

1194

phosphoribulokinase and impaired function of the Calvin-Benson cycle. J.

1195

Exp. Bot. 68:2285–2298.

1196

López-Calcagno, P. E., Fisk, S., Brown, K. L., Bull, S. E., South, P. F., and

1197

Raines, C. A. (2018). Overexpressing the H-protein of the glycine cleavage

1198

system increases biomass yield in glasshouse and field-grown transgenic

1199

tobacco plants. Plant Biotechnol. J. 17:141–151.

1200

Lorimer, G. H., and Miziorko, H. M. (1980). Carbamate formation on the ε-

1201

amino group of a lysyl residue as the basis for the activation of

1202

ribulosebisphosphate carboxylase by carbon dioxide and magnesium (2+).

1203

Biochemistry 19:5321–5328.

1204

Lu, Y., Stegemann, S., Agrawal, S., Karcher, D., Ruf, S., and Bock, R.

1205

(2017). Horizontal transfer of a synthetic metabolic pathway between plant

1206

species. Curr. Biol. 27:3034-3041.e3.

1207 1208 1209

Luan, G., Zhang, S., and Lu, X. (2020). Engineering cyanobacteria chassis cells toward more efficient photosynthesis. Curr. Opin. Biotechnol. 62:1–6. Lundgren, M. R., and Fleming, A. J. (2019). Cellular perspectives for

1210

improving mesophyll conductance. Plant J. Advance Access published

1211

2019, doi:10.1111/tpj.14656.

1212

Mackinder, L. C. M. (2018). The Chlamydomonas CO2-concentrating

1213

mechanism and its potential for engineering photosynthesis in plants. New

1214

Phytol. 217:54–61.

1215 1216

Maier, A., Fahnenstich, H., von Caemmerer, S., Engqvist, M. K. M., Weber, A. P. M., Flügge, U. I., and Maurino, V. G. (2012). Transgenic introduction 42

1217

of a glycolate oxidative cycle into A. Thaliana chloroplasts leads to growth

1218

improvement. Front. Plant Sci. 3:38.

1219

Makino, A., Tsunoda, H., Izumi, M., Suzuki, Y., and Ishida, H. (2012).

1220

RBCS1A and RBCS3B, two major members within the Arabidopsis RBCS

1221

multigene family, function to yield sufficient Rubisco content for leaf

1222

photosynthetic capacity. J Exp Bot. 63:2159–2170.

1223

Mangan, N. M., Flamholz, A., Hood, R. D., Milo, R., and Savage, D. F.

1224

(2016). PH determines the energetic efficiency of the cyanobacterial CO2

1225

concentrating mechanism. Proc. Natl. Acad. Sci. U. S. A. 113:E5354–

1226

E5362.

1227

Maurino, V. G., and Peterhänsel, C. (2010). Photorespiration: current status

1228

and approaches for metabolic engineering. Curr Opin Plant Biol 13:248–

1229

255.

1230

Mellor, S. B., Nielsen, A. Z., Burow, M., Motawia, M. S., Jakubauskas, D.,

1231

Møller, B. L., and Jensen, P. E. (2016). Fusion of ferredoxin and

1232

cytochrome P450 enables direct light-driven biosynthesis. ACS Chem Biol.

1233

11:1862–1869.

1234

Mellor, S. B., Vinde, M. H., Nielsen, A. Z., Hanke, G. T., Abdiaziz, K.,

1235

Roessler, M. M., Burow, M., Motawia, M. S., Møller, B. L., and Jensen,

1236

P. E. (2019). Defining optimal electron transfer partners for light-driven

1237

cytochrome P450 reactions. Metab. Eng. 55:33–43.

1238

Meyers, B., Zaltsman, A., Lacroix, B., Kozlovsky, S. V., and Krichevsky, A.

1239

(2010). Nuclear and plastid genetic engineering of plants: Comparison of

1240

opportunities and challenges. Biotechnol. Adv. 28:747–756.

1241 1242 1243 1244

Moses, T. (2019). Shedding light on the power of light. Plant Physiol. 179:775– 777. Murchie, E. H., and Niyogi, K. K. (2011). Manipulation of photoprotection to improve plant photosynthesis. Plant Physiol. 155:86–92.

43

1245

National Academies of Sciences, Engineering and Medicine (2019).

1246

Science breakthroughs to advance food and agricultural research by 2030.

1247

Washington, D.C.: National Academies Press.

1248

Nielsen, A. Z., Ziersen, B., Jensen, K., Lassen, L. M., Olsen, C. E., Møller,

1249

B. L., and Jensen, P. E. (2013). Redirecting photosynthetic reducing

1250

power toward bioactive natural product synthesis. ACS Synth. Biol. 2:308–

1251

315.

1252

Nishiyama, Y., Allakhverdiev, S. I., and Murata, N. (2011). Protein synthesis

1253

is the primary target of reactive oxygen species in the photoinhibition of

1254

photosystem II. Physiol. Plant. 142:35–46.

1255

Nixon, P. J., Rogner, M., and Diner, B. A. (1991). Expression of a higher plant

1256

psbA gene in Synechocystis 6803 yields a functional hybrid photosystem II

1257

reaction center complex. Plant Cell 3:383–395.

1258

Nölke, G., Houdelet, M., Kreuzaler, F., Peterhänsel, C., and Schillberg, S.

1259

(2014). The expression of a recombinant glycolate dehydrogenase

1260

polyprotein in potato (Solanum tuberosum) plastids strongly enhances

1261

photosynthesis and tuber yield. Plant Biotechnol J. 12:734–742.

1262

Nölke, G., Barsoum, M., Houdelet, M., Arcalís, E., Kreuzaler, F., Fischer, R.,

1263

and Schillberg, S. (2019). The integration of algal carbon concentration

1264

mechanism components into tobacco chloroplasts increases photosynthetic

1265

efficiency and biomass. Biotechnol J. 14:1–43.

1266 1267 1268

Nowicka, B. (2019). Target genes for plant productivity improvement. J. Biotechnol. 298:21–34. Nowicka, B., Ciura, J., Szymańska, R., and Kruk, J. (2018). Improving

1269

photosynthesis, plant productivity and abiotic stress tolerance – current

1270

trends and future perspectives. J. Plant Physiol. 231:415–433.

1271

Occhialini, A., Lin, M. T., Andralojc, P. J., Hanson, M. R., and Parry, M. A. J.

1272

(2016). Transgenic tobacco plants with improved cyanobacterial Rubisco

1273

expression but no extra assembly factors grow at near wild-type rates if 44

1274 1275

provided with elevated CO2. Plant J. 85:148–160. Ogawa, S., Suzuki, Y., Yoshizawa, R., Kanno, K., and Makino, A. (2012).

1276

Effect of individual suppression of RBCS multigene family on Rubisco

1277

contents in rice leaves. Plant Cell Env. 35:546–553.

1278

Olsen, K. M., and Wendel, J. F. (2013). A bountiful harvest: Genomic insights

1279

into crop domestication phenotypes. Annu Rev Plant Biol. 64:47–70.

1280

Orr, D. J., Pereira, A. M., da Fonseca Pereira, P., Pereira-Lima, Í. A.,

1281

Zsögön, A., and Araújo, W. L. (2017). Engineering photosynthesis:

1282

progress and perspectives. F1000 Res 6:1891.

1283 1284

Ort, D. R., Zhu, X., and Melis, A. (2011). Optimizing antenna size to maximize photosynthetic efficiency. Plant Physiol. 155:79–85.

1285

Ort, D. R., Merchant, S. S., Alric, J., Barkan, A., Blankenship, R. E., Bock,

1286

R., Croce, R., Hanson, M. R., Hibberd, J. M., Long, S. P., et al. (2015).

1287

Redesigning photosynthesis to sustainably meet global food and bioenergy

1288

demand. Proc Natl Acad Sci USA 112:8529–8536.

1289

Palmgren, M. G., Edenbrandt, A. K., Vedel, S. E., Andersen, M. M., Landes,

1290

X., Østerberg, J. T., Falhof, J., Olsen, L. I., Christensen, S. B., Sandøe,

1291

P., et al. (2015). Are we ready for back-to-nature crop breeding? Trends

1292

Plant Sci. 20:155–164.

1293 1294 1295 1296 1297

Pearcy, R. W., and Ehleringer, J. (1984). Comparative ecophysiology of C3 and C4 plants. Plant Cell Env. 7:1–13. Peterhänsel, C., and Maurino, V. G. (2011). Photorespiration redesigned. Plant Physiol. 155:49 LP – 55. Peterhänsel, C., Krause, K., Braun, H. P., Espie, G. S., Fernie, A. R.,

1298

Hanson, D. T., Keech, O., Maurino, V. G., Mielewczik, M., and Sage, R.

1299

F. (2013). Engineering photorespiration: Current state and future

1300

possibilities. Plant Biol. 15:754–758.

1301

Piatek, A. A., Lenaghan, S. C., and Neal Stewart, C. (2018). Advanced editing 45

1302

of the nuclear and plastid genomes in plants. Plant Sci. 273:42–49.

1303

Poschenrieder, C., Fernández, J. A., Rubio, L., Pérez, L., Terés, J., and

1304

Barceló, J. (2018). Transport and use of bicarbonate in plants: Current

1305

knowledge and challenges ahead. Int. J. Mol. Sci. 19:1–25.

1306 1307 1308

Pottier, M., Gilis, D., and Boutry, M. (2018). The hidden face of Rubisco. Trends Plant Sci. 23:382–392. Pouvreau, B., Vanhercke, T., and Singh, S. (2018). From plant metabolic

1309

engineering to plant synthetic biology: The evolution of the

1310

design/build/test/learn cycle. Plant Sci. 273:3–12.

1311

Rae, B. D., Long, B. M., Förster, B., Nguyen, N. D., Velanis, C. N., Atkinson,

1312

N., Hee, W. Y., Mukherjee, B., Dean Price, G., and McCormick, A. J.

1313

(2017). Progress and challenges of engineering a biophysical CO 2 -

1314

concentrating mechanism into higher plants. J. Exp. Bot. 68:3717–3737.

1315

Raines, C. A. (2003). The Calvin cycle revisited. Photosynth Res. 75:1–10.

1316

Raines, C. A. (2011). Increasing photosynthetic carbon assimilation in C3

1317

plants to improve crop yield: current and future strategies. Plant Physiol.

1318

155:36–42.

1319

Rasool, S., and Mohamed, R. (2016). Plant cytochrome P450s: nomenclature

1320

and involvement in natural product biosynthesis. Protoplasma 253:1197–

1321

1209.

1322

Raven, J. A., Giordano, M., Beardall, J., and Maberly, S. C. (2012). Algal

1323

evolution in relation to atmospheric CO2: Carboxylases, carbon-

1324

concentrating mechanisms and carbon oxidation cycles. Philos. Trans. R.

1325

Soc. B Biol. Sci. 367:493–507.

1326 1327 1328 1329

Reven, J. A. (2013). Rubisco: still the most abundant protein of Earth? Rubisco content of algae and plants. New Phytol. 198:1–3. Russo, D. A., Zedler, J. A. Z., and Jensen, P. E. (2019). A force awakens: Exploiting solar energy beyond photosynthesis. J. Exp. Bot. 70:1703–1710. 46

1330 1331 1332 1333 1334 1335 1336

Sage, R. F. (2004). The evolution of C4 photosynthesis. New Phytol. 161:341– 370. Sage, R. F., Edwards, E. J., and Christin, P.-A. (2011). The C4 plant lineages of planet Earth. J. Exp Bot. 62:3155–3169. Sage, R. F., Sage, T. L., and Kocacinar, F. (2012). Photorespiration and the evolution of C4 photosynthesis. Annu Rev Plant Biol. 63:19–47. Salvucci, M. E., and Crafts-Brandner, S. J. (2004). Relationship between the

1337

heat tolerance of photosynthesis and the thermal stability of rubisco

1338

activase in plants from contrasting thermal environments. Plant Physiol.

1339

134:1460–1470.

1340 1341 1342

Schindele, A., Dorn, A., and Puchta, H. (2020). CRISPR/Cas brings plant biology and breeding into the fast lane. Curr. Opin. Biotechnol. 61:7–14. Schmermund, L., Jurkaš, V., Özgen, F. F., Barone, G. D., Büchsenschütz,

1343

H. C., Winkler, C. K., Schmidt, S., Kourist, R., and Kroutil, W. (2019).

1344

Photo-Biocatalysis: Biotransformations in the presence of light. ACS Catal.

1345

9:4115–4144.

1346

Schuler, M. L., Mantegazza, O., and Weber, A. P. M. (2016). Engineering C4

1347

photosynthesis into C3 chassis in the synthetic biology age. Plant J. 87:51–

1348

65.

1349

Schwander, T., Schada von Borzyskowski, L., Burgener, S., Cortina, N. S.,

1350

and Erb, T. J. (2016). A synthetic pathway for the fixation of carbon dioxide

1351

in vitro. Science (80-. ). 354.

1352

Semin, B., Davletshina, L. N., and Rubin, A. B. (2019). Effect of sucrose-

1353

bound polynuclear iron oxyhydroxide nanoparticles on the efficiency of

1354

electron transport in the photosystem II membranes. Photosynth. Res.

1355

Advance Access published 2019, doi:10.1007/s11120-019-00647-4.

1356 1357

Sharwood, R. E. (2017). Engineering chloroplasts to improve Rubisco catalysis: prospects for translating improvements into food and fiber crops.

47

1358 1359

New Phytol. 213:494–510. Shelef, O., Weisberg, P. J., and Provenza, F. D. (2017). The value of native

1360

plants and local production in an era of global agriculture. Front. Plant Sci.

1361

8:1–15.

1362

Shen, B.-R., Wang, L.-M., Lin, X.-L., Yao, Z., Xu, H.-W., Zhu, C.-H., Teng, H.-

1363

Y., Cui, L.-L., Liu, E.-E., Zhang, J.-J., et al. (2019). Engineering a new

1364

chloroplastic photorespiratory bypass to increase photosynthetic efficiency

1365

and productivity in rice. Mol Plant 12:199–214.

1366

Shih, P. M. (2018). Towards a sustainable bio-based economy: Redirecting

1367

primary metabolism to new products with plant synthetic biology. Plant Sci.

1368

273:84–91.

1369

Shikanai, T. (2014). Central role of cyclic electron transport around

1370

photosystem I in the regulation of photosynthesis. Curr Opin Biotechnol.

1371

26:25–30.

1372

Simkin, A. J., McAusland, L., Headland, L. R., Lawson, T., and Raines, C.

1373

A. (2015). Multigene manipulation of photosynthetic carbon assimilation

1374

increases CO2 fixation and biomass yield in tobacco. J. Exp Bot. 66:4075–

1375

90.

1376

Simkin, A. J., McAusland, L., Lawson, T., and Raines, C. A. (2017a).

1377

Overexpression of the rieskeFeS protein increases electron transport rates

1378

and biomass yield. Plant Physiol. 175:134–145.

1379

Simkin, A. J., Lopez-Calcagno, P. E., Davey, P. A., Headland, L. R.,

1380

Lawson, T., Timm, S., Bauwe, H., and Raines, C. A. (2017b).

1381

Simultaneous stimulation of sedoheptulose 1,7-bisphosphatase, fructose

1382

1,6-bisphosphate aldolase and the photorespiratory glycine decarboxylase-

1383

H protein increases CO2 assimilation, vegetative biomass and seed yield in

1384

Arabidopsis. Plant Biotechnol J. 15:805–816.

1385

Simkin, A. J., López-Calcagno, P. E., and Raines, C. A. (2019). Feeding the

1386

world: Improving photosynthetic efficiency for sustainable crop production. 48

1387 1388

J. Exp. Bot. 70:1119–1140. Sinclair, T. R., Rufty, T. W., and Lewis, R. S. (2019). Increasing

1389

photosynthesis: unlikely solution for world food problem. Trends Plant Sci.

1390

xx.

1391

Singh, J., Pandey, P., James, D., Chandrasekhar, K., Achary, V. M. M.,

1392

Kaul, T., Tripathy, B. C., and Reddy, M. K. (2014). Enhancing C3

1393

photosynthesis: an outlook on feasible interventions for crop improvement.

1394

Plant Biotechnol. J. 12:1217–1230.

1395

Sorigué, D., Légeret, B., Cuiné, S., Blangy, S., Moulin, S., Billon, E.,

1396

Richaud, P., Brugière, S., Couté, Y., Nurizzo, D., et al. (2017). An algal

1397

photoenzyme converts fatty acids to hydrocarbons. Science (80-. ).

1398

907:903–907.

1399

Sosso, D., Luo, D., Li, Q. B., Sasse, J., Yang, J., Gendrot, G., Suzuki, M.,

1400

Koch, K. E., McCarty, D. R., Chourey, P. S., et al. (2015). Seed filling in

1401

domesticated maize and rice depends on SWEET-mediated hexose

1402

transport. Nat. Genet. 47:1489–1493.

1403

South, P. F., Cavanagh, A. P., Lopez-Calcagno, P. E., Raines, C. A., and

1404

Ort, D. R. (2018). Optimizing photorespiration for improved crop

1405

productivity. J. Integr. Plant Biol. 60:1217–1230.

1406

South, P. F., Cavanagh, A. P., Liu, H. W., and Ort, D. R. (2019). Synthetic

1407

glycolate metabolism pathways stimulate crop growth and productivity in

1408

the field. Science (80-. ). 363.

1409

Sowjanya, B. A., Narayana, B. D., and Shreyas, S. (2019). Enhancement of

1410

photosynthetic efficiency of C3 plants. Int. J. Curr. Microbiol. Appl. Sci.

1411

8:775–786.

1412

Soyk, S., Müller, N. A., Park, S. J., Schmalenbach, I., Jiang, K., Hayama, R.,

1413

Zhang, L., Van Eck, J., Jiménez-Gómez, J. M., and Lippman, Z. B.

1414

(2017). Variation in the flowering gene SELF PRUNING 5G promotes day-

1415

neutrality and early yield in tomato. Nat. Genet. 49:162–168. 49

1416

Stewart, C. N., Patron, N., Hanson, A. D., and Jez, J. M. (2018). Plant

1417

metabolic engineering in the synthetic biology era: plant chassis selection.

1418

Plant Cell Rep. 37:1357–1358.

1419 1420 1421

Stitt, M. Progress in understanding and engineering primary plant metabolism. Curr. Opin. Biotechnol. 24:229–238. Terao, T., and Katoh, S. (1996). Antenna sizes of photosystem I and

1422

photosystem II in chlorophyll b- deficient mutants of rice. Evidence for an

1423

antenna function of Photosystem II centers that are inactive in electron

1424

transport. Plant Cell Physiol. 37:299–306.

1425

Timm, S., Wittmiß, M., Gamlien, S., Ewald, R., Florian, A., Frank, M., Wirtz,

1426

M., Hell, R., Fernie, A. R., and Bauwe, H. (2015). Mitochondrial

1427

dihydrolipoyl dehydrogenase activity shapes photosynthesis and

1428

photorespiration of Arabidopsis Thaliana. Plant Cell 27:1968–1984.

1429

Tognetti, V. B., Palatnik, J. F., Fillat, M. F., Melzer, M., Hajirezaei, M. R.,

1430

Valle, E. M., and Carrillo, N. (2006). Functional replacement of ferredoxin

1431

by a cyanobacterial flavodoxin in tobacco confers broad-range stress

1432

tolerance. Plant Cell 18:2035–2050.

1433

Tognetti, V. B., Zurbriggen, M. D., Morandi, E. N., Fillat, M. F., Valle, E. M.,

1434

Hajirezaei, M. R., and Carrillo, N. (2007). Enhanced plant tolerance to iron

1435

starvation by functional substitution of chloroplast ferredoxin with a

1436

bacterial flavodoxin. Proc. Natl. Acad. Sci. U. S. A. 104:11495–11500.

1437

Treves, H., Raanan, H., Kedem, I., Murik, O., Keren, N., Zer, H., Berkowicz,

1438

S. M., Giordano, M., Norici, A., Shotland, Y., et al. (2016). The

1439

mechanisms whereby the green alga Chlorella ohadii, isolated from desert

1440

soil crust, exhibits unparalleled photodamage resistance. New Phytol.

1441

210:1229–1243.

1442

Trudeau, D. L., Edlich-Muth, C., Zarzycki, J., Scheffen, M., Goldsmith, M.,

1443

Khersonsky, O., Avizemer, Z., Fleishman, S. J., Cotton, C. A. R., Erb,

1444

T. J., et al. (2018). Design and in vitro realization of carbon-conserving

1445

photorespiration. Proc. Natl. Acad. Sci. U. S. A. 115:E11455–E11464. 50

1446

Urlacher, V. B., and Girhard, M. (2019). Cytochrome P450 monooxygenases

1447

in biotechnology and synthetic biology. Trends Biotechnol. 37:882–897.

1448

Vavitsas, K., Crozet, P., Hamborg Vinde, M., Davies, F., Lemaire, S. D., and

1449

Vickers, C. E. (2019). The synthetic biology toolkit for photosynthetic

1450

microorganisms. Plant Physiol. Advance Access published 2019,

1451

doi:10.1104/pp.19.00345.

1452

Vermaas, W. F. J., Shen, G., and Ohad, I. (1996). Chimaeric CP47 mutants of

1453

the cyanobacterium Synechocystis sp. PCC 6803 carrying spinach

1454

sequences: Construction and function. Phowsynthesis Res. 48:147–162.

1455

Viola, S., Rühle, T., and Leister, D. (2014). A single vector-based strategy for

1456

marker-less gene replacement in Synechocystis sp. PCC 6803. Microb.

1457

Cell Fact. 13:1–12.

1458 1459 1460

von Caemmerer, S., and Evans, J. R. (2010). Enhancing C3 photosynthesis. Plant Physiol. 154:589–592. von Caemmerer, S., Quick, W. P., and Furbank, R. T. (2012). The

1461

development of C4 rice: Current progress and future challenges. Science

1462

(80-. ). 336:1671–1672.

1463

Von Caemmerer, S., Ghannoum, O., and Furbank, R. T. (2017). C4

1464

photosynthesis: 50 years of discovery and innovation. J. Exp. Bot. 68:97–

1465

102.

1466

Wallace, J. G., Rodgers-Melnick, E., and Buckler, E. S. (2018). On the road

1467

to breeding 4.0: Unraveling the good, the bad, and the boring of crop

1468

quantitative genomics. Annu Rev Genet. 52:421–444.

1469 1470 1471 1472 1473

Wang, P., Vlad, D., and Langdale, J. A. (2016). Finding the genes to build C4 rice. Curr Opin Plant Biol 31:44–50. Weber, A. P. M., and Bar-Even, A. (2019). Update: Improving the efficiency of photosynthetic carbon reactions. Plant Physiol. 179:803–812. Weigmann, K. (2019). Fixing carbon. EMBO Rep. 20:2–5. 51

1474 1475 1476

Weiner, J. (2019). Looking in the wrong direction for higher-yielding crop genotypes. Trends Plant Sci. xx:1–7. Whitney, S. M., and Sharwood, R. E. (2008). Construction of a tobacco master

1477

line to improve Rubisco engineering in chloroplasts. J. Exp. Bot. 59:1909–

1478

1921.

1479

Wlodarczyk, A., Gnanasekaran, T., Nielsen, A. Z., Zulu, N. N., Mellor, S. B.,

1480

Luckner, M., Thøfner, J. F. B., Olsen, C. E., Mottawie, M. S., Burow, M.,

1481

et al. (2016). Metabolic engineering of light-driven cytochrome P450

1482

dependent pathways into Synechocystis sp. PCC 6803. Metab. Eng. 33:1–

1483

11.

1484

Wolter, F., Schindele, P., and Puchta, H. (2019). Plant breeding at the speed

1485

of light: The power of CRISPR/Cas to generate directed genetic diversity at

1486

multiple sites. BMC Plant Biol. 19:1–8.

1487

Wu, J., Lawit, S. J., Weers, B., Sun, J., Mongar, N., van Hemert, J., Melo, R.,

1488

Meng, X., Rupe, M., Clapp, J., et al. (2019). Overexpression of zmm28

1489

increases maize grain yield in the field. Proc. Natl. Acad. Sci. U. S. A.

1490

116:23850–23858.

1491

Wurtzel, E. T., Vickers, C. E., Hanson, A. D., Millar, A. H., Cooper, M., Voss-

1492

Fels, K. P., Nikel, P. I., and Erb, T. J. (2019). Revolutionizing agriculture

1493

with synthetic biology. Nat. Plants 2019 Advance Access published 2019,

1494

doi:10.1038/s41477-019-0539-0.

1495

Xin, C.-P., Tholen, D., Devloo, V., and Zhu, X.-G. (2015). The Benefits of

1496

Photorespiratory Bypasses: How Can They Work? Plant Physiol. 167.

1497

Yadav, S. K., Khatri, K., Rathore, M. S., and Jha, B. (2018). Expression of the

1498

algal cytochrome c 6 gene in Arabidopsis enhances photosynthesis and

1499

growth. Mol. Biol. Rep. 45:1745–1758.

1500

Yamamoto, H., Takahashi, S., Badger, M. R., and Shikanai, T. (2016).

1501

Artificial remodelling of alternative electron flow by flavodiiron proteins in

1502

Arabidopsis. Nat. Plants 2:1–7. 52

1503

Yamori, W., Masumoto, C., Fukayama, H., and Makino, A. (2012). Rubisco

1504

activase is a key regulator of non-steady-state photosynthesis at any leaf

1505

temperature and, to a lesser extent, of steady-state photosynthesis at high

1506

temperature. Plant J. 71:871–880.

1507

Yang, S.-M., Chang, C.-Y., Yanagisawa, M., Park, I., Tseng, T.-H., and Ku,

1508

M. S. B. (2008). Transgenic rice expressing cyanobacterial bicarbonate

1509

transporter exhibited enhanced photosynthesis, growth and grain yield.

1510

Photosynth. Energy from Sun Advance Access published 2008,

1511

doi:10.1007/978-1-4020-6709-9_268.

1512

Yang, X., Cushman, J. C., Borland, A. M., Edwards, E. J., Wullschleger, S.

1513

D., Tuskan, G. A., Owen, N. A., Griffiths, H., Smith, J. A. C., De Paoli, H.

1514

C., et al. (2015). A roadmap for research on crassulacean acid metabolism

1515

(CAM) to enhance sustainable food and bioenergy production in a hotter,

1516

drier world. New Phytol. 207:491–504.

1517

Yu, H., Li, X., Duchoud, F., Chuang, D. S., and Liao, J. C. (2018).

1518

Augmenting the Calvin-Benson-Bassham cycle by a synthetic malyl-CoA-

1519

glycerate carbon fixation pathway. Nat. Commun. 9:1–10.

1520

Yunus, I. S., Wichmann, J., Wördenweber, R., Lauersen, K. J., Kruse, O.,

1521

and Jones, P. R. (2018). Synthetic metabolic pathways for photobiological

1522

conversion of CO2 into hydrocarbon fuel. Metab. Eng. 49:201–211.

1523

Zhu, X. G., De Sturler, E., and Long, S. P. (2007). Optimizing the distribution

1524

of resources between enzymes of carbon metabolism can dramatically

1525

increase photosynthetic rate: A numerical simulation using an evolutionary

1526

algorithm. Plant Physiol. 145:513–526.

1527

Zhu, X.-G., Long, S. P., and Ort, D. R. (2008a). What is the maximum

1528

efficiency with which photosynthesis can convert solar energy into

1529

biomass? Curr Opin Biotechnol. 19:153–159.

1530

Zhu, X. G., Long, S. P., and Ort, D. R. (2008b). What is the maximum

1531

efficiency with which photosynthesis can convert solar energy into

1532

biomass? Curr Opin Biotechnol. 19:153–159. 53

1533 1534 1535

Zhu, X.-G., Long, S. P., and Ort, D. R. (2010). Improving photosynthetic efficiency for greater yield. Ann Rev Plant Biol 61:235–261. Zhu, F., Wen, W., and Fernie, A. R. (2019). Finding Noemi: The transcription

1536

factor mutations underlying trait differentiation amongst citrus. Trends Plant

1537

Sci. 24:384–386.

1538

Zsögön, A., Cermak, T., Voytas, D., Eustáquio, L., and Peres, P. (2017).

1539

Genome editing as a tool to achieve the crop ideotype and de novo

1540

domestication of wild relatives : Case study in tomato. Plant Sci. 256:120–

1541

130.

1542

Zsögön, A., Čermák, T., Naves, E. R., Notini, M. M., Edel, K. H., Weinl, S.,

1543

Freschi, L., Voytas, D. F., Kudla, J., and Peres, L. E. P. (2018). De novo

1544

domestication of wild tomato using genome editing. Nat. Biotechnol.

1545

36:1211–1216.

1546 1547

54

Figure 1

OEC

e-

2H2O

e-

NDH

Fd

Fd PSI LHCI

PTOX PC Cyt c 6 e-

e-

CYP71E1 CYP79A1

Oxime

e-

Hydroxylation

K+ K+ H+

K+ K+ H+

H+ ATP synthase

PQH

PGR5/PGRL1

-

PSII PQ e LHCII

Cytb6f

Fd

UGT85B1

KEA3

e-

Cyanohydrin

Tyrosine

Hydroxylation e-

ADP+Pi

TPK3

FdR

e-

ATP

Dhurrin Glycosylation

NADP+H NADPH +

H+

Stroma

Lumen

O2 + 4H+

Figure 1 - Light reactions and potential targets for improvement strategies.

Figure 2

A

B

Sucrose Starch Fructan

PEP

Malate

Vacuole

Malate

Malate PPDK PEPcase

PEP

Pyruvate

Chloroplast

HCO 3CA

Night-time

Mesophyll cell

OAA

Light-time

Pyruvate

CO2

CO2

H2O

H2O

Chloroplast

C 3PGA 2PG

Sugar

Algal Pyrenoid

CBC

CBC

3-PGA

RuBP O2 CO2

CO2 HCO3Cyanobacteria Carboxysome

HCO3-

Figure 2 - Photosynthetic mechanisms and strategies used to introduce carbon concentration mechanisms (CCMs) into C3 plants.

Figure 3 NADH CO2

3 Pyruvate

Acetyl-CoA

NADPH CO2

Malate CO2

GDC

Tartronic Semialdehyde

Glycolate 3PGA

2PG

1

NAD+

Glycerate CO2 Tartronic semialdehyde

FBPA

2

CBC SBPase Glycerate

BSD2

RuBP CO2

Hydroxypyruvate

RubisCO O2

Figure 3 - Calvin-Benson Cycle (CBC) advances, RuBP supply and photorespiratory bypasses. RuBisCO catalyze CO2 and O2 fixation.