Transcriptome analysis of Eisenia fetida chronically exposed to benzo(a)pyrene

Transcriptome analysis of Eisenia fetida chronically exposed to benzo(a)pyrene

Accepted Manuscript Transcriptome analysis of Eisenia fetida chronically exposed to benzo(a)pyrene Srinithi Mayilswami, Kannan Krishnan, Ravi Naidu, M...

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Accepted Manuscript Transcriptome analysis of Eisenia fetida chronically exposed to benzo(a)pyrene Srinithi Mayilswami, Kannan Krishnan, Ravi Naidu, Mallavarapu Megharaj PII: DOI: Reference:

S2352-1864(16)30174-2 http://dx.doi.org/10.1016/j.eti.2016.12.002 ETI 101

To appear in:

Environmental Technology & Innovation

Received date: 14 June 2016 Revised date: 7 December 2016 Accepted date: 13 December 2016 Please cite this article as: Mayilswami, S., Krishnan, K., Naidu, R., Megharaj, M., Transcriptome analysis of Eisenia fetida chronically exposed to benzo(a)pyrene. Environmental Technology & Innovation (2016), http://dx.doi.org/10.1016/j.eti.2016.12.002 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. 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.

*Highlights (for review)

Highlights  Eisenia fetida chronically exposed in soil with 10 mg/kg of BaP.  mRNA was isolated and sequenced from BaP exposed Eisenia fetida.  The transcriptomes were in silico assembled from mRNA sequences  Genes involved in calcium homeostasis, apoptosis and lipid metabolism are altered

Graphical Abstract

• Eisenia fetida exposed to 10 mg Kg-1 of BaP for 8 m

• mRNA isolation and sequencin

• Transcriptome assembly

• Identification of differential expressed transcripts

Apoptotic, reproduction related, lipid metabolism development related genes are altere

*Revised Manuscript with No Changes Marked

1 2 3

Transcriptome Analysis of Eisenia fetida Chronically Exposed to Benzo(a)Pyrene Srinithi Mayilswami2, 3, Kannan Krishnan1, 2*, Ravi Naidu1, 2, Mallavarapu Megharaj1, 2

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Technology, The University of Newcastle, Callaghan NSW 2308, Australia

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Environment (CRC-CARE), Mawson Lakes, Adelaide SA 5095, Australia

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Mawson Lakes, Adelaide SA 5095, Australia

Global Centre for Environmental Research, Faculty of Science and Information

Cooperative Research Centre for Contamination Assessment and Remediation of the

Centre for Environmental Risk Assessment and Remediation, University of South Australia,

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*e-mail: [email protected],

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Phone: +61 2 4913 8732.

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Key words: differential gene expression, Transcriptome assesmbly, Molecular markers,

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Polycyclic aromaric hydrocarbons

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Abstract

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Benzo(a)pyrene is a high molecular weight polycyclic aromatic hydrocarbon which is

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carcinogenic and widespread pollutant in the environment. It is essential to identify the

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presence of this chemical in soil as it is toxic to biota including humans. Eisenia fetida is a

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sentinal organism in soil which can be used to diagnose the health of the soil. In order to

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identify potential molecular markers from Eisenia fetida to diagnose the presence of benzo(a)

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pyrene in soil, we exposed the organism to sub-lethal (10 mg Kg-1) concentrations for a

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period of eight months and carried out transcriptome anaysis. From the transcriptome, we

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have identified differentially expressed genes. Results showed that benzo(a)pyrene has

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altered the expression of calcium binding and calcium homeostasis, apoptotic process,

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cytoskeletal proteins, protein transport, nucleotide binding, lipid metabolism, peripheral 1

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neuronal development, cell division, wound healing and nucleotide binding and processing

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genes at transcription level. Several of the genes we reported here were not reported earlier.

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The highly up regulated and down regulated genes could be used as a molecular marker to

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diagnose the presence of benzo(a)pyrene in the soil.

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Key words: Transcriptome assembly, differential gene expression, toxicogenomics,

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molecular markers, polycyclic aromaric hydrocarbons

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1 Introduction

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Benzo(a)pyrene (BaP) is one of the polycyclic aromatic hydrocarbons (PAHs) which is

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an established mutagen and carcinogen. PAHs including BaP are formed during incomplete

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combustion of fossil fuels and organic material (Yunker et al., 2002). Several processes

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including automobile exhaust, industrial emission, agriculture activities and domestic

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emission and waste contribute to the release ofBaP in to the environment (Ravindra et al.,

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2008). BaP induces several enzymes with mixed function in the cell (Gelboin, 1980) and as a

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result, different type of cancer progression occurs in human and animals. BaP has been

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shown to accumulate in several organisms such as mussels (Canova et al., 1998) microalgae

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(Subashchandrabose et al., 2014), and mouse (Uno et al., 2006). Benzo(a)pyrene has also

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been established as a mutagen in somatic cells. By using specific locus test for visible

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markers, it could not be concluded that point mutation by BaP could be inherited (Russell et

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al., 1981), however, the dominant lethal mutations induced by BaP in post-meiotic germ cells

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were found to be inherited (Generoso et al., 1982). Moreover, from environmentally exposed

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animals, there are evidences that PAHs are also mutagenic in male germ cells which leads to

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potential health risks in the offspring (Somers et al., 2004; Somers et al., 2002; Yauk et al.,

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2000; Yauk and Quinn, 1996).

50 51

Benzo(a)pyrene binds to aryl hydrocarbon receptor (AhR), the transcription regulator

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and the ligand bound AhR binds to xenobiotic responsive elements (XRE) thereby causing

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biological effects (Nebert et al., 2000). BaP is enzymatically converted by CYP1A1,

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CYP1B1 and epoxy hydrolase into BaP-diol epoxide that forms Nucleotide-BaP-adducts that

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is incorporated into DNA (Kim et al., 2007; Shi et al., 2009). These adducts prevents the

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DNA polymerase from moving along the DNA during replication (Hsu et al., 2005) that

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causes immature termination of DNA synthesis. As a result, the regulation of genes will be 3

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defective and cellular metabolism will be abnormal, which leads to cell proliferation defects

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and apoptosis (Solhaug et al., 2004).

60 61

To diagnose the presences of sub lethal concentrations of BaP in aquatic system and

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in soil there are several biochemical based markers (Gastaldi et al., 2007), and specific genes

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as molecular markers (Zheng et al., 2008). However, due to the limitations with the

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traditional techniques, it is possible that some potential toxic effects might be neglected.

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Global transcriptome analysis of the effect of a chemical might reveal both mechanism of

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toxicity as well as general toxic effects (Huang et al., 2014). It is appropriate to use a soil

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organism such as Eisenia fetida for developing a molecular marker to monitor BaP presence

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in the soil.

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Soil is considered to be one of the largest sinks for BaP and hence, it is essential to

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use soil organism such as Eisenia fetida to develop molecular biomarkers by studying the

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transcriptome profile change and differential gene expression in the presence and absence of

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BaP. The alteration in transcript level would be a powerful indicator to diagnose the effects

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of a toxic pollutant such as BaP at sub-lethal levels. Advancement in mRNA sequencing

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techniques such as Next generation mRNA sequencing is one of the tools that can be used to

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analyse such changes in transcriptome expression profiles. In this paper we report the change

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in transcriptome expression in E. fetida chronically exposed to sub-lethal levels of BaP for

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about eight months.

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2 Materials and Methods

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2.1

Chemicals and earthworm treatment

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Benzo(a)pyrene was purchased from Sigma-Aldrich (Australia). Eisenia fetida was

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maintained in natural soil added with fruits and vegetable waste, at 25 ± 1 °C, 60 to 80%

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humidity and a 16:8 h L: D (Light: dark) cycle in our laboratory. E. fetida with wet weight of

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0.5 g and well-developed clitellum were used for the chronic toxicity studies.

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2.2

Experimental Design

89 90

E. fetida was introduced into soil (pH ~ 6.5) for the transcriptome analysis followed by

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differential gene expression studies. The soil sample was collected from Adelaide region, air

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dried for 24 hours and sieved using a 2 mm sieve. Earthworm assay was carried out using 10

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mg Kg-1 of BaP; controls were maintained simultaneously. The concentration of BaP in 9

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manufactured gas plant (MGP) site soils ranged between 58 and 738 mg Kg-1 soil [21].

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Hence, the environmentally relevant concentration for chronic exposure study was selected as

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10 mg Kg-1. BaP was dissolved in acetone and mixed with the soil using an end-to-end shaker

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overnight to artificially contaminate the soil for the study and subsequently the earthworms

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were introduced into the soil. 50 g of soil was mixed with required amount of BaP dissolved

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in acetone and later they were mixed with the remaining 1950 g of soil (in total 2000 g)

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which ensures homogenisation of spiking. The solvent was evaporated from the soil in a

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fume hood. The soils were moistened with water so as to obtain 50 to 60% by mass of water

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holding capacity and the earthworms were released into it. Ten worms per group in triplicates

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were released in the containers. The containers were supplemented with powdered pulses and

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about 40 g of fruits and vegetable every week. This procedure was followed for eight months

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and simultaneously control group was also maintained under the same condition.

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2.3

RNA Isolation and next generation sequencing

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E. fetida treated as well as control were collected, placed into a 15 ml tube with

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suspension buffer QIAGEN® Mini Kit (Cat No: 74104) and homogenized using Polytron

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homogenizer. From the homogenized E. fetida total RNA was isolated using QIAGEN® Mini

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Kit using manufacturer’s protocol. From the Qiagen column, total RNA was eluted using

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elusion buffer and stored in -80 °C and transported to sequencing facility on dry ice. Using

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Illumina HiSeq 2000, the paired-end RNA sequencing was carried out at The Ramaciotti

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Centre for Gene Function Analysis. The sequencing data is submitted to Sequence Read

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Archive (SRA), National Center for Biotechnology Information (NCBI) (Accession:

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SRS1828175, SRS1827215).

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2.4

Sequence analysis

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The forward and reverse mRNA sequence reads were joined together and transcriptome

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assembly was carried out using Trinity software (Grabherr et al., 2011). Trinity software was

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installed in bigmem-1024 server, eRSA, Adelaide. The transcriptome assembly was carried

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with parameters, k-mers was set at 2 and glue length was set at 4. The transcripts with longer

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than 130 amino acid length were selected and annotated using BLAST (NCBI-BLAST-

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2.2.28+) with UniProt database. The transcripts were compared using NPKF- normalized

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counts and the transcripts that are more than fourfold altered (p = 0.001) in expression were

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selected.

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3 Results and Discussion

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3.1

Transcript assembly and annotation

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The mRNA from E. fetida was sequenced by next generation sequencing and de novo

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assembled using Trinity software installed in Bigmem-1024 server, at eRSA, Adelaide. The

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transcripts obtained from de novo assembly were translated in silico and the best possible

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ORFs were carefully chosen. The total number of peptides that were translated (ORFs) from

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the de novo assembled transcripts were 616110. These translated peptides contain all the

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possible trans-spliced isoforms. These peptides were subject to homology search using

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BLAST where 106161 peptides retrieved hits. Apart from the peptides that retrieved

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homologous results, 3830 peptides retrieved homologues signal peptides and 8525 TmHMM

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topology results and 33064 did not retrieve any result. The transcripts that were longer that

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130 amino acids obtained from the database (UniProt) were analysed further (Mayilswami et

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al., 2014).

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3.2

Differential gene expression

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About 2000 genes were recognized as differentially expressed with more than four-fold

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difference compared to control. The differentially expressed genes with their fold difference

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was subjected to gene cluster analysis (Fig. 1). The gene expression fold difference were

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plotted in MA-plot (Fig 2). Genes that are differentially expressed more than 12-fold (p <

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0.001) were selected for further analysis. About 223 differentially expressed transcripts were

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retrieved. The genes with more than one isoforms and genes with no known functions were

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removed from analysis. Among these differentially expressed genes, 63 were up-regulated

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and 56 down-regulated. Based on the functional information obtained from UniProt, the

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toxicity was interpreted and grouped according to functions. 7

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3.3

Calcium binding and homeostasis

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The transcripts that are altered in the presence of BaP are given in Tables 1 to 5. BaP

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has been shown to cause Ca2+ elevation in human mammary epithelial cells at 2 hours and

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sustained alterations in Ca2+ homeostasis at 18 hours (Tannheimer et al., 1997). MATN3 has

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been shown to be down regulated at transcriptome level in HepG2 cells exposed to BaP

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(Magkoufopoulou et al., 2011) which is the case in Eisenia fetida as well. However, a

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contradictory result has also been reported (Lizarraga et al., 2012). Altered expression of

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collagen (Hussain et al., 1979) and basement membrane perforation has been observed

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(Kopf-Maier and Flug, 1996). In mice liver, BaP induces PRDX6 expression at mRNA level

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(Halappanavar et al., 2011), however, it has been shown to be down regulated in Solea

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senegalensis live at protein level (Costa et al., 2010). So far the toxicological studies have

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suggested that BaP affects calcium homeostasis which is confirmed by transcriptome study

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and we have identified possible genes that could be involved in this process.

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Figure 1. Hierarchical clustering analysis of gene expression profiles control (C) and

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benzo(a)pyrene (BaP) treated Eisenia fetida. The fold difference was set at 2 and the

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significance (p) was set as 0.001.

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Figure 2. Differential expression of chronic benzo(a)pyrene exposed (10 mg Kg-1 in soil)

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versus control Eisenia fetida. MA-plot with log counts on x-axis, log fold-change on y-axis

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showing differentially expressed genes (P value < 0.001) as red dots.

181 182 183 184 185 186 187 188

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Table 1. The transcripts of calcium ion binding protein that are altered by BaP exposure in

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Eisenia fetida Normalized UniProt_ID

gene

Function and cellular process

expression BMP1_MOUSE

-60.97

Calcium ion binding, cell differentiation Sarcoplasmic reticulum, AMP binding, glycogen

PYGM_MOUSE

-30.32 phosphorylase activity, response to hypoxia

NCS2_CAEEL

-27.21

Calcium ion binding extracellular matrix structural constituent, calcium ion

MATN3_HUMAN -16.99 binding, development of skeletal system NAD(P)H oxidase activity, Calcium ion binding, cytokineDUOX2_PIG

-10.56

mediated signalling pathway, peroxidase activity, cuticle development

CO4A1_DROME

-4.2

Collagen type IV, oviduct morphogenesis

CAHD1_HUMAN

3.08

Calcium ion transport

CAD23_MOUSE

5.4

auditory receptor cell stereocilium organization, calcium ion binding, calcium-dependent cell-cell adhesion CROCC_HUMAN 7.47

Actin cytoskeleton, ciliary rootlet, cell cycle metal ion binding, collagen, extracellular matrix structural

CRA1B_DANRE

9.07 constituent,

SQH_DROME

16.31

ZAN_PIG

18.04

wound healing, calcium ion binding, cytokinesis Integral to membrane, binding of sperm to zona pellucid, cell adhesion

SSPO_CHICK

18.96

Extracellular space, cell adhesion 11

phospholipase response to reactive oxygen species, PRDX6_BOVIN

21.67

Cytoplasmic membrane-bounded vesicle, glutathione peroxidase activity, regulation of kinase activity, cytokinesis, positive regulation

CALM_DICDI

30.21

of cyclic-nucleotide phosphodiesterase activity, positive regulation of ATPase activity

MLR_LUMTE

348.37

Myosin complex, calcium ion binding

191 192

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3.4

Apoptotic process related genes

194 195

BaP is known to cause apoptosis (Das et al., 2014). There are five transcripts that are

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found to be differentially expressed and among them four genes are down regulated (Table

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2). Among the four genes, FHL2 and ITA6 are negative regulators of apoptosis and this could

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be the response of the animal to prevent apoptotic process. FHL2 mRNA in mice has been

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shown to be down regulated in response to BaP (Kerley-Hamilton et al., 2012), whereas in

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HepG2 model, it has been shown to be up regulated (Lizarraga et al., 2012). ITA6 has been

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shown to be downregulated both in mice and human (Halappanavar et al., 2011; Sparfel et

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al., 2010). Contrary to Eisenia fetida results, BTG1 has also been shown to be up regulated in

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HepG2 cells (Magkoufopoulou et al., 2011) as well as in mice (Kerley-Hamilton et al., 2012).

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Jennen et al (2010) [35] have obtained a similar result to that of Eisenia fetida expression in

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HepG2 cells. Similarly, Kerley-Hamilton et al. (2012) [33] has obtained APLP1 expression to

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be increased in mouse. The apoptotic process related gene transcripts that are altered by BaP

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are more or less what has been obtained in animal and cell line models.

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Table 2. Gene transcripts that are altered which are involved in apoptotic processes. UniProt_ID

Normalized Function and cellular process gene expression DNA-dependent transcription, negative regulation of

FHL2_RAT

-23.65 apoptotic process cell adhesion, negative/positive regulation of

ITA6_HUMAN

-11.4 apoptotic process regulation of apoptotic process, spermatogenesis,

BTG1_MOUSE

-6.64

response to oxidative stress, response to peptide hormone stimulus, Ras protein signal transduction, positive regulation of

NF1_RAT

-5.3

neuron, apoptotic process, wound healing, response to hypoxia, apoptotic process, cellular response to norepinephrine

APLP1_HUMAN

9.39 stimulus, endocytosis, cell adhesion

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3.5

Genes that are involved in cell projection and cytoskeleton

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The genes that are altered by BaP exposure that are involved in cytoskeletal structures

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and cell projection are given in Table 3. Among these genes ABCF1 mRNA has been

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reported to be decreased upon BaP exposure in mice (Kerley-Hamilton et al., 2012). MYO6

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has been shown to be up regulated in HepG2 cells up on BaP treatment (Magkoufopoulou et

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al., 2011). TTLL3, RADI, MSH5, ITA6 and NRX1A are not reported to be affected by BaP 13

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treatment. Cell protrusion and motility are carcinogenic properties of a cell and are expected

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to be affected by BaP. Cytoskeletal proteins are primary responsible molecules for cell

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protrusion and motility, BaP is altering the expression of these molecules and as a

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consequence, the cells are becoming malignant.

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Table 3. Gene that are involved in cell projection and cytoskeleton UniProt_ID

Normalized gene

Localization, Function and cellular

expression

processes Cilium axoneme, cytoplasm, cytoskeleton,

TTLL3_HUMAN

-22.95

protein-glycine ligase activity, initiating, tubulin-tyrosine ligase activity Cytoskeleton, filopodium, actin filament

RADI_HUMAN

-14.48 capping, microvillus assembly Synaptonemal complex, ATP binding, DNA-

MSH5_HUMAN

-13.18 dependent ATPase meiotic prophase II positive regulation of transcription from RNA polymerase II promoter, Metal ion binding,

ITA6_HUMAN

-11.4 cell adhesion, negative/positive regulation of apoptotic process, Cell junction, synapse, cell adhesion molecule

NRX1A_HUMAN

-3.26 binding, axon guidance, cell adhesion Nuclear envelope, ribosome binding, ATPase

ABCF1_HUMAN

9.66

activity, inflammatory response, translation activator activity

FLNA_DROME

10.68

Actin cytoskeleton, positive regulation of 14

cytoskeleton organization, olfactory learning microtubule cytoskeleton organization, cilium TEKT3_BOVIN

16.62 axoneme Axon, cell cortex, DNA-directed RNA

MYO6_HUMAN

20.41

polymerase II, endocytic vesicle, endocytosis, almodulin binding, synaptic transmission

225

226

3.6

Protein localization and transport related genes

227 228

The genes that are involved in protein transport and localization are listed in Table 4.

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The primary mouse hepatocytes exposed to BaP as analysed by Affimetrix microarray and

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CAHD1 mRNA has been shown to be up regulated (Mathijs et al., 2009). CROCC is up

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regulated in Eiseina fetida, whereas it has been shown to be down regulated in mice BaP

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exposure.

233 234 235

Table 4. Genes that are involved in protein localization and transport Normalized UniProt id

gene

Function and cellular process

expression RSPH9_DANRE

-23.62

Cilium axoneme

COR1B_PONAB

-12.72

Cytoskeleton Cytoplasm, protein transporter activity, nuclear

XPO6_HUMAN

-10.43

pore, nucleolus, protein export from nucleus, plasma membrane

COPB2_MOUSE

-5.5

Actin cytoskeleton, intracellular protein 15

transport, structural molecule activity intra-Golgi vesicle-mediated transport endoplasmic reticulum membrane, cytosol, zinc ion binding antigen processing and presentation SC24B_HUMAN

4.14 of exogenous peptide antigen via MHC class I and II Actin cytoskeleton, structural molecule activity,

CROCC_HUMAN 7.47

cell cycle, cell projection organization, protein localization, centrosome organization,

IMA3_MOUSE

8.44

Protein transporter activity

VTA1_BOVIN

9.8

Protein transport

236

237

3.7

Nucleotide binding proteins

238 239

The nucleotide binding genes that are differentially expressed when Eisenia fetida is

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exposed to BaP are listed in Table 5. DHX36 is down regulated and ABCF1 is up regulated

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in Eisenia fetida, however, in mice expression of these genes has been reported to be

242

reversed. (Kerley-Hamilton et al., 2012). MSH5, RN213, HS12A and MYO6 are not reported

243

to be altered.

244

3.8

Other genes and functions

245 246

Eisenia fetida exposed to low levels of BaP showed up- and down regulation of genes

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that are involved in apoptosis, calcium homeostasis, protein transport, cytoskeletal structures,

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nucleic acid binding and several other genes (Table 5) which are reported earlier in other 16

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organisms but we noticedsome of those have not been reported before. These genes are

250

involved in transcription regulation, lipid metabolism, cell cycle regulation, metal ion binding

251

and membrane proteins. The highly differentially expressed genes that are not induced by

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other related chemicals or generic chemicals may be used as biomarkers for the presence of

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low levels of BaP.

254 255

Table 5. Ungrouped genes that are altered by BaP exposure. Normalized UniProt_ID

gene

Localization and Function

expression ATF4_DANRE

-90.79

Sequence-specific DNA binding

CHCH2_MOUSE

-44.73

Mitochondrion

HMG2_DROME

-36.72

Polytene chromosome, single-stranded DNA binding C560_CRIGR

-31.78

INO1B_XENLA

-28.59

Metal ion binding, tricarboxylic acid cycle Nucleotide binding inositol biosynthetic process, phospholipid biosynthetic process

FACR1_XENLA

-24.98

KNG2_BOVIN

-23.84

Lipid metabolic process Blood coagulation inflammatory response, vasodilation

UBCP1_DANRE

-23.83

Phosphoprotein phosphatase activity

NUCL_XENLA

-23.41

Nucleolus, DNA binding

PRS6A_RAT

-23.13

ATP binding, nucleoside-triphosphatase activity

SAP_CHICK

-22.8

Lysosome, sphingolipid metabolic process

PI16_MOUSE

-21.36

Extracellular region, integral to membrane, 17

peptidase inhibitor activity Nucleus, Z disc, 14-3-3 protein binding, actin SYNP2_MOUSE

-19.55 binding, muscle alpha-actinin binding Mitochondrion, isomerase activity, metal ion

ENOF1_XENLA

-18.33 binding Mitochondrial matrix, dihydrolipoyl

DLDH_PIG

-17.92 dehydrogenase activity, cell redox homeostasis

PTBP3_HUMAN

-16.5

Nucleus, mRNA processing Mitochondrion blastocyst hatching, embryo

GRN_CAVPO

-15.95 implantation ATPase activity, phosphorylative mechanism,

AT8A1_MOUSE

-14.57 cation transport Cell division microtubule-based movement,

KIF2A_MOUSE

-13.65 nervous system development Integral to membrane, oxidoreductase activity,

FRRS1_XENLA

-13.64 electron transport chain Purine ribonucleoside salvage type B pancreatic

ADK_RAT

-13.37 cell proliferation

GBB_PINFU

-13.15

Signal transducer activity Condensed chromosome, cell division

TEX14_MOUSE

-12.82 intercellular bridge organization Lysosome, cysteine-type peptidase activity,

CATL_DROME

-11.15 digestion, autophagic cell death Glycogen (starch) synthase activity, glycogen

GYS_DROME

-9.5 biosynthetic process 18

IF4G3_MOUSE

-7.35

OTU5A_DANRE

-7.13

DNA binding, spermatogenesis Protein K48-linked deubiquitination proteolysis, response to lipopolysaccharide Integral to membrane, structural molecule

CC108_HUMAN

-7.04 activity Extracellular region, serine-type endopeptidase

ITIH2_PIG

-6.96 inhibitor activity Cysteine-type peptidase activity, ubiquitin-

UBP48_RAT

-6.96 dependent protein catabolic process Mitochondrial matrix, cellular amino acid

ALAT2_HUMAN

-6.01 biosynthetic process DNA binding histone demethylase activity (H3-

KDM5B_CHICK

-5.36

trimethyl-K4 specific) metal ion binding, 2oxoglutarate as one donor

DIP2C_HUMAN

-5.36

Catalytic activity Cysteine-type endopeptidase activity, ubiquitin

USP9X_HUMAN

-4.97 hiolesterase activity, BMP signalling pathway

PLB1_RAT

-3.86

phospholipase A2 activity,

PCM1_CHICK

4.25

Centriolar satellite, cilium assembly

RHG44_MOUSE

4.77

GTPase activator activity

TM131_HUMAN

5.73

Integral to membrane

Y1281_ARCFU

7.54

Hydrolase activity, acting on glycosyl bonds

SDC_DROME

7.81

Neuromuscular junction energy homeostasis

PDIA1_PONAB

7.87

Endoplasmic

19

reticulum

lumen,

cell

redox

homeostasis, glycerol ether metabolic process Mitochondrion, SPTC2_MOUSE

8.1

complex,

serine

C-palmitoyltransferase

pyridoxal

phosphate

binding

sphinganine biosynthetic process CAND1_PONAB

8.3

DNA-dependent Cytoplasmic mRNA processing body, mitotic

DDX6_DROME

9.31

cell cycle G2/M transition DNA damage checkpoint

PLCL_MYTGA

9.97

Carbohydrate binding Cellular aromatic compound metabolic process

AMPE_RAT

10.75

regulation of systemic arterial blood pressure by renin-angiotensin

RAB18_RAT

11.46

Brain development, eye development ATP-dependent

IF4A2_RAT

helicase

activity

translation

11.78 initiation factor activity

CP1A5_CHICK

12.34

heme binding, electron carrier activity, 3'-5' exonuclease activity, DNA-directed DNA

DPO1_KLULA

12.5 polymerase activity Protein binding involved in heterotypic cell-cell

NFASC_MOUSE

12.51

adhesion,

peripheral

nervous

development TEX14_BOVIN

12.64

Condensed chromosome kinetochore

PI16_HUMAN

14.63

Peptidase inhibitor activity

MPU1_MOUSE

16.08

Transport

20

system

GTPase RHO1_DROME

activity,

establishment

of

protein

16.23 localization, wound healing

TMED4_MOUSE

18.94

Positive regulation of I-kB kinase/NF-kB cascade

LAMP1_CRIGR

19.17

Endosome and lysosomal membrane

AT1B1_ARTSF

19.35

Sodium:potassium-exchanging ATPase activity

PRS6A_RAT

20.56

Perinuclear

region

of

cytoplasm,

protein

catabolic process MET24_XENTR

20.63

EF1A2_RABIT

21.04

Methyltransferase activity GTP binding, translation elongation factor activity, Regulation of systemic arterial blood pressure by

AMPE_BOVIN

23.94

renin-angiotensin, zinc ion binding and cell proliferation related proteolysis dUTP diphosphatase activity metal ion binding

DUT_COXBU

25.4 dUMP biosynthetic process

NF70_DORPE

26.35

structural molecule activity Hydrogen-exporting

VA0D1_DROME

28.31

phosphorylative

ATPase

activity,

mechanism,

vacuolar

acidification Endoplasmic MAMC2_HUMAN 36.7

reticulum,

glycosaminoglycan

cross-linking

binding

peptide

chondroitin 4-sulfate glycosaminoglycan RL27_DANRE

42.86

structural constituent of ribosome translation

LEG9_BOVIN

47.79

carbohydrate binding

21

of by

Adult 14332_CAEEL

lifespan

determination,

embryo

56.81 development ending in egg hatching or birth

IF27A_MOUSE

66.43

Aging, response to virus

PPIA_BLAGE

105.29

Peptidyl-prolyl cis-trans isomerase activity

ALDOA_RAT

111.63

Response to hypoxia response to lipopolysaccharide TXL_EISFO

150.89

Defence response to bacterium, ion transport

256

257

3.9

Potential Molecular Markers for PFOA

258 259

From the current study, we should be able to pick set of molecular markers that are

260

specific to BaP. If we pick a single gene and follow the expression level to use as a molecular

261

marker, it is highly likely that other polycyclic aromatic hydrocarbons/ homologues of the

262

intended molecule also may induce those molecules. Hence, from this study, we are

263

proposing to pick five up regulated and five down regulated genes that are specific to BaP. In

264

that case, it is highly unlikely that other polycyclic aromatic hydrocarbons/ homologues will

265

induce same set of genes to same levels. Therefore, the potential molecular markers are

266

IF27A, PPIA, ALDOA, TXL, MLR, BMP1, ATF4, CHCH2, HMG2, C560. However, these

267

molecules need to be tested and validated and compared with expression profiles of other

268

polycyclic aromatic hydrocarbons/ homologues induction.

269

270

4 Conclusion

271

Benzo(a)pyrene exposure has resulted in changes in the expression of genes involved in

272

calcium homeostasis, cell cycle regulation and inflammatory response in E. fetida. The other

22

273

altered genes due to BaP exposure include those that are involved in nucleotide binding,

274

protein transport, vasodilation, cytoskeletal structure and cell division, microtubule-based

275

movement, establishment of protein localization, lipid metabolic process, spermatogenesis,

276

embryo development ending in birth or egg hatching, wound healing, nervous system

277

development and eye development. Many genes identified in E. fetida in this study have not

278

been reported to be changed by Benzo(a)Pyrene in other organisms. This gene expression

279

data will assist in understanding the toxicological effects at molecular level. Furthermore, this

280

data will be helpful in developing molecular markers for detecting benzo(a)pyrene

281

contamination in soil.

282 283

Acknowledgements:

284

The authors acknowledge the Ramaciotti Centre for Genomics, The University of New South

285

Wales, Sydney, form RNA sequencing and eResearch SA for computing facility. Dr. Srinithi

286

Mayilswami is recipient of IPRS and CRCCARE top-up scholarships.

287 288

Conflict of Interest:

289

The authors declare that they have no conflict of interest

290 291 292

References:

293 294 295 296 297 298 299 300 301 302

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