Accepted Manuscript Dual oxidases participate in the regulation of hemolymph microbiota homeostasis in mud crab Scylla paramamosain Zaiqiao Sun, Shufeng Hao, Yi Gong, Ming Zhang, Jude Juventus Aweya, Ngoc Tuan Tran, Yueling Zhang, Hongyu Ma, Shengkang Li PII:
S0145-305X(18)30305-7
DOI:
10.1016/j.dci.2018.08.009
Reference:
DCI 3237
To appear in:
Developmental and Comparative Immunology
Received Date: 11 June 2018 Revised Date:
9 August 2018
Accepted Date: 10 August 2018
Please cite this article as: Sun, Z., Hao, S., Gong, Y., Zhang, M., Aweya, J.J., Tran, N.T., Zhang, Y., Ma, H., Li, S., Dual oxidases participate in the regulation of hemolymph microbiota homeostasis in mud crab Scylla paramamosain, Developmental and Comparative Immunology (2018), doi: 10.1016/ j.dci.2018.08.009. 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.
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Dual oxidases participate in the regulation of hemolymph
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microbiota homeostasis in mud crab Scylla paramamosain
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Zaiqiao Sun1,2,a, Shufeng Hao1,2,a, Yi Gong1,2, Ming Zhang1,2, Jude Juventus Aweya1, 2, Ngoc Tuan
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Tran1,2, Yueling Zhang1,2, Hongyu Ma1,2, Shengkang Li1,2*
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Guangdong Provincial Key Laboratory of Marine Biology, Shantou University, Shantou 515063, China
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Author for correspondence. E-mail:
[email protected]
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These authors contributed equally to this paper
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Marine Biology Institute, Shantou University, Shantou 515063, China
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E-mail:
[email protected]
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Running title: DUOXs regulate mud crab hemolymph microbial homeostasis
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Keywords: Scylla paramamosain; dual oxidases; hemolymph microbiota; homeostasis
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ACCEPTED MANUSCRIPT ABSTRACT
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Dual oxidases (DUOXs) were originally identified as NADPH oxidases (NOXs), found to be
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associated with the reactive oxygen species (ROS) hydrogen peroxide (H2O2) production at the
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plasma membrane and crucial in host biological processes. In this study, SpDUOX1 and
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SpDUOX2 of mud crab (Scylla paramamosain) were identified and studied. Both SpDUOX1 and
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SpDUOX2 are transmembrane proteins, including an N-signal peptide region and a peroxidase
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homology domain in the extracellular region, transmembrane regions, and three EF
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(calcium-binding region) domains, a FAD-binding domain, and a NAD binding domain in the
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intracellular region. The SpDUOXs were expressed in all tissues examined, but mainly in
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hepatopancreas, heart, and mid-intestine. The expression of the SpDUOXs in the hemolymph of
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mud crabs was up-regulated after challenge with Vibrio parahemolyticus or LPS. RNA
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interference (RNAi) of the SpDUOXs resulted in reduced ROS production in hemolymph. The
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bacterial count increased in the hemolymph of mud crabs injected with SpDUOX1 or
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SpDUOX2-RNAi, while the bacterial clearance ability of hemolymph significantly reduced. At the
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phylum level, the phyla Bacteroidetes and Actinobacteria were significantly increased, while
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Proteobacteria were significantly reduced following SpDUOX2 knockdown. There was a
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significant increase in the relative abundance of the genera Marinomonas, Pseudoalteromonas,
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Shewanella, and Hydrogenoph in SpDUOX2 depleted mud crabs compared with the controls. Our
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current findings therefore indicated that SpDUOXs might play important roles in maintaining the
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homeostasis in the hemolymph microbiota of mud crab.
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1. Introduction Aquatic invertebrates harbor a stable amount of bacteria in their hemolymph, which is
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relatively lower than that in the intestinal tract, and with these bacteria potentially pathogenic to the
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host under stressful (culture) conditions (Fagutao et al., 2012; Bruno et al., 1998). The hemolymph
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also contains a number of molecules including antimicrobial peptides (AMPs) (i.e.
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anti-lipopolysaccharide factors, crustins, penaeidins, and lysozymes), pattern recognition receptors
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(PRRs) (i.e. lectin), oxidase enzymes (i.e. prophenoloxidase). Among all these molecules
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(Fredrick et al., 2012; Rosa et al., 2010), AMPs are known to be important in inhibiting
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hemolymph microbiota proliferation and therefore maintains homeostasis in crustaceans (Wang et
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al., 2013; Wang et al., 2014). It has been reported that after RNA interference (RNAi)-based gene
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silence through dsRNA injection, the bacterial counts in the hemolymph of kuruma shrimp
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(Marsupenaeus japonicus) was significantly increased, leading to high mortality (Wang et al.,
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2014). It has also been shown that the growth of bacteria increased in the hemolymph of M.
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japonicus after RNAi of lysozyme (dsLYZ injection) or prophenoloxidase (dsproPO injection)
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(Kaizu et al., 2011; Fagutao et al., 2009; Wang et al., 2015). Furthermore, it has been shown that
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the immune deficiency pathway and reactive oxygen species (ROS) play important roles in the
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immune system, by maintaining gut microbiota homeostasis in Drosophila (Ha et al., 2005). ROS
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acts as immune effectors, exerting microbicidal activity in gut immunity (Ha et al., 2005),
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although ROS induced by oxidative enzymatic reactions was previously considered to be harmful
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to organisms. However, when the phagocyte oxidase (gp91phox/NOX2) was discovered as the
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enzyme responsible for the “respiratory burst” (Salathe et al., 1997), ROS was implicated in
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specialized cellular functions in various subcellular compartments (Kawahara et al., 2007). ROS is
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produced by membrane NADPH oxidase (NOX) enzymes, which comprise of seven NOX family
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members (NOX1-NOX5, DUOX1 and DUOX2) in the human genome (Ryu et al.,2010),
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characterized by a conserved catalytic core responsible for transmembrane electron transfer from
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intracellular electron donors to the extracellular compartment to produce superoxide (O2-) or H2O2
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(De et al., 2014). Dual oxidases (DUOXs) are NOX family members, originally identified as
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thyroid oxidases and later renamed as “Dual oxidase” based on the presence of peroxidase-like
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and NADPH oxidase domains on the N-terminals and C-terminals, respectively (De et al., 2015;
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found in many tissues, including cochlea, phagocytes, respiratory tract, and intestinal tract of
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different animals (Guichard et al., 2006). In mice, the expression of DUOX2 is contingent upon
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induction of different signaling pathways in the ileum and colon epithelium during gut microbiota
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invasion (Sommer et al., 2015). DUOXs are associated with ROS hydrogen peroxide (H2O2)
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production at the plasma membrane, which is crucial in biological processes including
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thyroid-hormone biosynthesis, tyrosine-crosslinking in the cuticle and fertilization envelope, and
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immunity (Sasakura et al., 2017). In mammals, DUOXs have a peroxidase-like domain, but have
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no peroxidase activity because they lack the histidine that is essential for peroxidase activity
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(Edens et al., 2001; Furtmüller et al., 2006; Sumimoto et al., 2005). However, in Drosophila, the
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extracellular peroxidase homology domain (PHD) has an enzyme activity that converts H2O2 to
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HOCl in the presence of chlorideion (Ha et al., 2005). To date, few studies have been reported on
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the functions of DUOXs in invertebrates. In Drosophila, a specific RNAi sequence has been found
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to be involved in an increased mortality rate (Ha et al., 2005; Leto et al., 2009), while in the
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midgut of mosquito (Anopheles gambiae), DUOX decreased permeability to immune elicitors and
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protected the host against bacteria and Plasmodium parasites (Kumar et al., 2010). In kuruma
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shrimp (M. japonicas), knockdown of MjDUOXs decreased the ROS level and increased the
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bacterial number in the intestine (Yang et al., 2016).
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Mud crab (S. paramamosain) is a commercially important crustacean species cultured in the
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southeastern coast of China (Li et al., 2008). Recently, frequent disease outbreaks in culture
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organisms could affect the sustainable development of the aquaculture industry (including mud
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crab aquaculture). Thus, a better understanding of the immune system (especially the microbial
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homeostasis in the hemolymph) of mud crab is needed. So far, the functions of DUOXs in the
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immune system in mud crab have not been well understood. In this study, SpDUOXs (including
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DUOX1and DUOX2) were cloned and characterized in different tissues of healthy crab and upon
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immune challenges. The results revealed that SpDUOXs decreased the ROS level and increased
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the bacterial counts in the hemolymph of mud crab. The bacterial clearance ability of the
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hemolymph in mud crab was significantly reduced after SpDUOXs RNAi. The results suggested
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that SpDUOXs played an important role in maintaining the homeostasis of the bacterial population
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in the hemolymph of mud crab.
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2. Materials and methods
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2.1 Challenge test and sampling A total of 48 healthy mud crabs (approximately 100 g each) were purchased from a crab farm
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in Niutianyang (Shantou, Guangdong, China), and acclimatized to laboratory conditions (seawater
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with a salinity of 8‰ and temperature of 25oC) for one week. After acclimatization, the crabs were
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divided into experimental and control groups and used for a challenge test. For the experimental
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groups, crabs were injected with 200 µL Vibrio parahemolyticus (1×107 colony-forming unit (cfu
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mL-1) or 200 µL lipopolysaccharide (LPS, Sigma, USA) (0.5 mg mL-1) at the base of the fourth leg
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of each crab. In the control, crabs were injected with the same volume of sterile
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phosphate-buffered saline (PBS) solution (1L; 0.14 M NaCl, 2.7 mM KCl, 10 mM Na2HPO4, and
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1.8 mM KH2PO4. The experiments were conducted under laboratory conditions, and hemolymph
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collected from crabs using a disposable needle and syringe (1 mL) at 0, 6, 12, 24, 48, and 96 hour
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post injection (hpi), into tubes containing ice-cold acid citrate dextrose (ACD) anticoagulant
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buffer (1.32% sodium citrate, 0.48% citric acid, and 1.47% glucose). Samples were centrifuged at
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800 ×g for 20 min at 4oC to separate the hemocytes, which was then used for RNA extraction
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using a test kit (TRIzol® Reagent, Ambion, USA). Other tissues including stomach, muscle,
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subcuticular epidermis, gills, hepatopancreas, intestines, and heart were then quickly collected,
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rinsed with 0.1% diethylpyrocarbonate (DEPC)-treated water and immediately dipped into liquid
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nitrogen. The tissues were sampled from at least three mud crabs per group for subsequent total
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RNA extraction.
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2.2. RNA extraction and first-strand cDNA synthesis
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Total RNA was extracted from the collected tissues (except hemocytes) using the Total RNA
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Rapid Extraction Kit (Feijie, Shanghai, China) following the manufacturer’s protocol. The purity
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and quality of the RNA samples was ascertained using 1.0% (w/v) agarose-gel electrophoresis
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while the concentration was measured with a Nanodrop® ND-1000 spectrophotometer (LabTech,
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Holliston, MA) at absorbance 260 nm/280 nm (A260/280). A total of 5 mg RNA from the
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hemocytes was reversely transcribed with the M-MLV First-Strand cDNA Synthesis Kit
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(Invitrogen, USA) for subsequent full-length SpDUOX cloning. Total RNA extracted from other
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tissues was used as templates to synthesize the first-strand cDNA using PrimerScript RT Reagent 5
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Kit with gDNA Eraser (Takara, Dalian, China), for quantitative real-time PCR (qRT-PCR).
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2.3 Cloning the full-length cDNA of SpDUOX1 and SpDUOX2 The partial cDNA sequence of SpDUOX1 and SpDUOX2 of mud crab was obtained from
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our previous high-throughput transcriptome data. The complete SpDUOXs cDNA was amplified
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through 3’RACE and 5’RACE PCR with the SMARTerTM RACE cDNA Amplification Kit
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(Clontech, USA), using touch-down PCR and nested PCR strategy with specific primers (Table 1).
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For the RACE PCR, 28 µL of sterile distilled water, 8 µL of dNTP mixture, 5 µL of 10×LA PCR
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Buffer II (Mg2+ Plus), and 0.5 µL of LA Taq (TaKaRa, Dalian, China) were added to a total
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reaction volume of 50 µL. Similarly, the total volume of touch-down PCR for 3’RACE or
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5’RACE was 50 µL containing 41.5 µL of RACE Master Mix, 1 µL of DUOX-GSP3-1 or
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DUOX-GSP5-1 primer, 5 µL of UPM (0.4 µM Long Universal Primer and 2 µM Short Universal
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Primer), and 2.5 µL of cDNA template. The touch-down PCR was programmed as follows: 5
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cycles at 94oC for 30 s, 72 oC for 2min 30s; 5 cycles at 94 oC for 30 s, 68oC (3’RACE) or 70oC
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(5’RACE) for 30 s, 72oC for 2min 30 s; and 38 cycles (3’RACE) or 27 cycles (5’RACE) of 94oC
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for 30 s, 64oC (3’RACE) or 68oC (5’RACE) for 30 s, 72oC for 2.5 min. The product of the
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touch-down PCR was used as the template for the subsequent nested PCR. The nested PCR was
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also performed in a total reaction volume of 50 µL including 47.5 µL of RACE Master Mix, 1 µL
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of DUOX-GSP3-2 or DUOX-GSP5-2 primer, 1 µL of NUP primer, and 0.5 µL of templates. The
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nested PCR condition was of 94oC for 3 min followed by 38 cycles (3’RACE) or 30 cycles
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(5’RACE) at 94oC for 30 s, 64oC (3’RACE) or 68oC (5’RACE) for 30s, 72oC for 2.5 min; and a
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final extension at 72oC for 10 min. Purified DNA fragment was cloned into the pMD®19-T vector
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(TaKaRa, Dalian, China) and then transformed into Escherichia coli. Positive recombinant clones
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were identified by PCR screening with M13R and M13F primers and sequenced by a commercial
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company (BGI, Shenzhen, China).
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2.4 Bioinformatics analysis
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Sequence (nucleotide and amino acid) homology analysis was carried out with the online
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BLAST program (http://www.ncbi.nlm.nih.gov/blast/). The deduced amino acid sequence was
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obtained with the ORF Finder (http://www.ncbi.nlm.nih.gov/gorf/orfig.cgi). Multiple protein
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sequence alignment was performed with Clustal W2 (http://www.ebi.ac.uk/Tools/msa/clustalw2/) 6
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(NJ) trees. The web-based SMART program (http://smart.embl-heidelberg.de/) was used to
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detect the protein domains in the SpDUOXs. The three-dimensional (3D) structure of SpDUOXs
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was predicted by I-Tasser server (http://zhanglab.ccmb.med.umich.edu/I-TASSER/).
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2.5 Quantitative RT- PCR assay
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The quantitative RT- PCR (qRT-PCR) analysis was carried out using the SYBR®Premix Ex
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Taq™ II Kit (Takara, Dalian, China) on a LightCycler® 480 (Roche, USA). First-strand cDNA
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was first synthesized as described above and used as templates for qRT-PCR with specific primers
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(Table 1). β-actin was used as an internal control. A total reaction volume of 20 µL containing 10
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µL of SYBR® Premix Ex Taq™ II, 2 µL of the four-fold diluted cDNA, 0.8 µL (10 µM) each of
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forward and reverse primer, and 6.4 µL of ultra-pure water. The amplification procedure included
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a denaturation step of 95oC for 30 s, and 40 cycles of 95oC for 5 s, 60oC for 20 s, followed by a
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melting curve analysis from 65oC to 95oC. Triplicate samples were used in each experiment. Data
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were analyzed using the LightCycler 480 software (Roche, USA). Relative expression of
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SpDUOXs was determined using the 2-∆∆Ct algorithm.
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2.6 RNA interference
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Small interfering RNAs (siRNAs) were used to knockdown SpDUOXs. The siRNAs
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(siDUOX1, siDUOX2, and siGFP) were chemically synthesized using an in vitro Transcription T7
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Kit (TaKaRa, Dalian, China) with the primers listed in Table 1. The final concentration of siRNA
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was diluted with DEPC-water to 125 µg mL-1. To determine efficiency of the RNA interference
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(RNAi), 65 healthy mud crabs (approximately 25-30g each) were acclimatized to laboratory
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conditions (as above described) before further processing. Crabs were divided into two groups
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(with 20 individuals per group), and injected at the base of the third leg with 200 µL siGFP (25 µg
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crab-1) negative control or with 200 µL of either siDUOX1 or siDUOX2 (25 mg crab-1). At 24, 36,
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and 48 h after the siRNA injection, hemocytes (of three mud crabs per group) were collected to
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determine the expression of SpDUOX1 and SpDUOX2 by qRT-PCR using the primers
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Q-DUOX1R, Q-DUOX1F, Q-DUOX2R, and Q-DUOX2F (Table 1). β-actin was used as a
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reference gene.
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2.7 Bacterial count and ROS assay in hemolymph after SpDUOXs knockdown
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siDUOX2 or mixture of siDUOX1 and siDUOX2 were injected into mud crabs. The crabs were
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injected with siGFP were used as the controls. The hemolymph from four mud crabs per group
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was collected at 24 h, 36 h, 48h after siRNA injection. Hemocytes were filtered from the
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hemolymph first with a 5-µm mesh membrane (TMTP02500, Millipore), and then with a 0.2-µm
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mesh membrane (GTBP02500, Millipore). The 0.2-µm mesh membrane was then stained with
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SYBR® Green I solution (1:40 v/v SYBR® Green I in 1×Tris-EDTA buffer) for 20 min. The stain
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solution was removed; membrane placed onto a glass slide, and 30 µL of glycerine (10% v/v)
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added as an antifade agent. Cells were counted at 1000x magnification using a fluorescence
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microscope (Zeiss, Axioplan 2 Imaging, Germany) with a blue filter set (Zhang et al., 2018). The
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ROS level of hemolymph was detected using the Hydrogen Peroxide Assay Kit (Nanjing
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Jiancheng, Jiangsu, China) (Zhang et al., 2015).
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2.8 Bacterial clearance assay after SpDUOXs knockdown
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Laboratory acclimatized mud crabs were randomly selected and divided into four groups, i.e.,
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siDUOX1, siDUOX2, siGFP, and DEPC-treated H2O groups. Crabs were then injected with 200
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uL crab-1 of the respective siRNAs or DEPC-treated H2O at the abdominal segment. Twenty-four
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hours after siRNA injection, 200 mL of V. parahemolyticus (1×106 cfu mL-1) was injected into
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each crab. Hemolymph was collected 6 h after the V. parahemolyticus injection, diluted with
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0.85% NaCl, and cultured on 2216E solid plates (containing 0.5% tryptone, 0.1% yeast extract,
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1.5% agar, 0.01% FePO4, and seawater) at 37 oC for 36 h. The number of colonies were counted
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and recorded.
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2.9 Sequencing of hemolymph microbiota after SpDUOX2 knockdown
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Twenty-four hours after SpDUOX2 RNAi, hemolymph was taken from mud crabs injected
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with siDUOX2 or siGFP. The hemolymph microbial DNA was extracted using a E.Z.N.A DNA
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/RNA Isolation Kit (OMEGA, USA) according to the manufacturer’s protocol. Quality and
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quantity of the extracted DNA were evaluated by agarose gel electrophoresis and NanoDrop 1000
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spectrophotometer [38]. The 16S rRNA gene was amplified by PCR using universal primers (27F
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and 1492R) (Table 1). The PCR reactions were performed in triplicate in a 20 µL mixture
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containing 10 µL of 2× PCR mix (DSBIO), 1 µL of each primer (10 µM), 2 µL of DNA templates, 8
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5 min, followed by 30 cycles at 95°C for 30 s, 55°C for 30 s, and 72 °C for 90 s and a final
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extension at 72 °C for 10 min. Quality of the PCR products were electrophoresed on 1% agarose
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gels. The samples were analyzed by sequencing the V3-V4 regions (about 465 bp) of 16S rRNA
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genes on an Illumina HiSeq 2500 platform (2×250 bp; Illumina, USA). Data analysis was
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performed as described elsewhere (Zhang et al., 2018). Three samples from siDUOX or siGFP
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were removed due to low quality of the sequencing data.
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2.10 Statistical analysis
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Data represents the results of at least three independent experiments. All data are expressed
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as means ±S.D. The data was subjected to one-way ANOVA analysis using Origin Pro 8.5
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followed by t-test, with P<0.05 considered statistically significant and extremely significant at
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P<0.01.
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3. Results
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3.1. Characterization of SpDUOX1 and SpDUOX2 cDNA The complete cDNA sequence of SpDUOX1 consists of 4786 bp in length, containing a
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5’-untranslated region (5’-UTR) of 38 bp, an open reading frame (ORF) of 4494 bp encoding
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1497 deduced amino acids (aa), and a 254 bp 3’-UTR (Fig.S1 A). The cDNA sequence of
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SpDUOX1 has been deposited at NCBI GenBank under the accession number MH023417. The
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estimated molecular mass of SpDUOX1 is 173 kDa, and the theoretical pI is 8.50. SpDUOX1 is a
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transmembrane protein, with an N-signal peptide region (20 aa), a peroxidase homology domain
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(PHD, 526 aa) in the extracellular region, six transmembrane regions, three EF (calcium-binding
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region) domains (110 aa), a FAD binding domain (104 aa) and a NAD binding domain (157 aa) in
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the intracellular region (Fig. S2). On the other hand, the complete cDNA sequence of SpDUOX2
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is 5093 bp in length, containing a 5’-UTR of 46 bp, an ORF of 4713 bp encoding 1570 aa, and a
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335 bp 3’-UTR with a predicted alternative polyadenylation signal site (AATAAA) and a poly(A)
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tail (Fig.S1 B). The sequence of SpDUOX2 is deposited at NCBI GenBank under the accession
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number MG840835. SpDUOX2 is also a transmembrane protein, with an N-signal peptide region
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(23 aa) and transmembrane region with a peroxidase homology domain (PHD, 552aa) in the
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extracellular region, seven transmembrane regions, three EF (calcium-binding region) domains
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(110 aa), a FAD binding domain (104 aa), and a NAD binding domain (155 aa) in the intracellular
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region (Fig. S2).
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3.2. Comparison of domain architectures and 3D structures of DUOXs
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The protein domains of DUOXs from different species were compared (Fig. S2). SpDUOX1
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and MjDUOX1 have 6-transmembrane regions, However, SpDUOX2 and MjDUOX2 have 7-
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transmembrane regions. SpDUOXs and MjDUOXs both have 3 EF hand regions. The 3D
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structures were also predicted using an online software. The overall structures of SpDUOX1 and
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SpDUOX2 are different from each other (Fig. S3 A and B). The difference illustrates that
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SpDUOX1 and SpDUOX2 might be involving in different physiological processes. However, the
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PHD domain responsible for ROS production shows high similarity (Fig. 3S C and D). This
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indicates that SpDUOX1 and SpDUOX2 both can generate ROS.
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3.3. Sequence comparison and phylogenetic tree analysis Phylogenetic tree analysis using MEGA 5.0 software (Fig. 1) showed that all DUOXs fell
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into three clusters with cluster 1 made up of vertebrates DUOXs, cluster 2 comprising of
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SpDUOX1 and a number of invertebrates’ DUOXs (i.e., insects, Caenorhabditis elegans, and M.
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japonicas), and cluster 3 consisting of SpDUOX2 and other invertebrates’ DUOXs. SpDUOX1
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had the highest homology of 86% with MjDUOX1 (GenBankr: BAM76968) of M. japonicus,
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followed by 68.2 % with CfDUOX (EFN74201) from Camponotus floridanus, and 40.5% with
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CeDUOX (AAF71303) of C. elegans. On the other hand, SpDUOX2 was almost similar to
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MjDUOX2 (ANA91274) of M. japonicas with an identity of 55.7%, CfDUOX (EFN70161) of C.
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floridanus with 37 %, and CgDUOX (EKC42615) of Crassostrea gigas with 28.2 % identity. The
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homology between SpDUOX1 and SpDUOX2 was only 28%. Multiple sequence alignment
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showed a higher similarity between SpDUOXs and MjDUOXs (ranging from 55.7 % to 86.2 %)
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(Fig. S4).
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3.4. Tissue distribution of SpDUOXs transcripts
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To determine the tissue distribution of SpDUOXs in mud crab, qRT-PCR was employed to
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analyze its transcriptional levels in various tissues including hemocytes, hepatopancreas, muscle,
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stomach, mid-intestine, subcuticular epidermis, gill, and heart. The results showed that SpDUOX1
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and SpDUOX2 were expressed in all examined tissues, but mainly in hepatopancreas, heart, and
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mid-intestine. However, low expression of SpDUOX1 (Fig. 2A) was observed in hemocytes and
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muscle, while gill and muscle expressed low levels of SpDUOX2 (Fig. 2B).
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3.5. Expression of SpDUOXs transcripts after immune challenges
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The expression profile of SpDUOXs in hemocytes and the hepatopancreas of mud crabs
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after challenge with V. parahemolyticus or LPS at different time points was investigated using
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qRT-PCR. The results revealed that SpDUOX1 was significantly (P<0.05) up-regulated in
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hemocytes and in hepatopancreas at 6 and 12 hpi with V. parahemolyticus or at 6 hpi with LPS,
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while there was no significant difference (P>0.05) between the experimental groups (V.
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parahemolyticus or LPS injected) and the controls at the other time points (Fig. 2 C, E). The
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expression of SpDUOX1 in hemocytes was similar to that in hemocytes post challenge with V.
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parahemolyticus or LPS (Fig. 2 D). On the other hand, SpDUOX2 was significantly (P<0.05) 11
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down-regulated in hepatopancreas at 12 hpi with V. parahemolyticus and LPS. The H2O2 level was
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also detected after V. parahemolyticus infection in the hemolymph, the H2O2 level obviously
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increased at 6 hpi (Fig. 2G). These results suggest that both SpDUOXs are responsible for ROS
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production and play an important role in innate immunity.
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3.6. Effects of SpDUOXs silencing on bacterial count and ROS production
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The efficiency of the DUOX siRNAs to silence SpDUOXs was evaluated at the mRNA
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transcript level using qRT-PCR. At 24 h post siRNA injection, the qRT-PCR results revealed a
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significant decrease in the expression of SpDUOX1 (78%) and SpDUOX2 (67.1%) in the
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hemocytes of mud crabs compared with the controls (Figs. 3A and 3B). We confirmed that the
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siSpDUOX1 treatment did not have off-target effects to siSpDUOX2, and siSpDUOX2
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knockdown also does not affect the expression of SpDUOX1 (Figs. S5). Meanwhile, effects of
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SpDUOXs silencing on bacterial count and ROS production were detected. The production of
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H2O2 in crab hemocytes was also significantly decreased at 24 h post siSpDUOXs injection (Fig.
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3C), which indicated that SpDUOXs were responsible for ROS produce. On the other hand, a
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significant (P<0.05) increase in bacterial count was observed at 24 h post siSpDUOXs injection,
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but recovered to baseline level at 48 h (Fig. 3D). The double knockdown experiments were
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performed and the results showed that the hemolymph bacterial count in double knockdown
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individuals (SiSpDUOX1+ X2) had no significant change compared with that in SpDUOX2
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knockdown groups at 24h and 36h after siRNA injections (Fig. 3D).
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3.7. Silencing of SpDUOX1 or SpDUOX2 reduces bacterial clearance in mud crab
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After RNAi of SpDUOX1 or SpDUOX2, the mud crab were infected with V.
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parahaemolyticus to analyze gene function in crab hemolymph, bacteria numbers were counted in
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a number of mud crabs. It was observed that, there was a higher total bacterial count in
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siSpDUOX1 and siSpDUOX2 treated crabs as compared to siGFP treated crabs. When infected
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with V. parahaemolyticus, the total bacterial number in siSpDUOX1 and siSpDUOX2 treated
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crabs increased significantly compared to the control groups, for siSpDUOX2 treated crabs, the
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total bacterial number increased dramatically when infected with V. parahaemolyticus as
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compared to the negative control groups (Fig. 4). 12
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3.8. Hemolymph microbial community composition in mud crabs depleted of SpDUOX2 The microbial community compositions in the hemolymph of mud crabs silenced of
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SpDUOX2 were investigated. The results generated a total of 737737 quality-filtered tags,
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including 13400 OTUs, from 10 specimens (Table 2). The NMDS plot and PCoA plot showed a
315
clear separation of microbial communities between the siGFP and siSpDUOX2 groups, with
316
significant differences between the two groups in terms of shannon index and the microbial
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community structure, which were divided into two clusters (Fig. 5A-C). The high throughput
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sequencing results showed that Proteobacteria. Bacteroidetes and Firmicutes in the hemolymph
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were obviously changed after RNAi of SpDUOX2,while Bacteroidetes and Actinobacteria were
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in crab hemolymph higher relative abundance in SpDUOX2-RNAi groups than those in the
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control groups,with an increase of 9.98%-12.8% and 11.4%-18.3%, respectively. Meanwhile,
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Proteobacteria has lower relative abundance than the control, with a decrease of 65.01%-49.9%
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(Figure 5D). Relative abundance of the major genera Flavobacterium, Arcobacter, Lactobacillus,
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Pseudomonas,
325
Hydrogenophaga, Acinetobacter, Marinomonas, and Shewanella in the siDUOX2-injected group
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and the siGFP-injected group (Figure 5E). And SpDUOX-RNAi groups had a higher relative
327
abundance of Flavobacterium and Arcobacter than the controls. There was a significant increase
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in relative abundance of the genera Marinomonas (1.37 % vs. 0.15 %), Pseudoalteromonas
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(1.07 % vs. 0.31 %), Shewanella (0.66 % vs. 0.22 %), and Hydrogenoph (0.62 % vs. 0.13 %) in
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siDUOX-injected group compared with that in siGFP-injected controls (P<0.05) (Table 3). Venn
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diagram analysis showed that the number of detected unique microbiota harboring the hemolymph
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of mud crabs injected with siDUOX was more than that of the siGFP-injected group (Figure 5F).
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The data indicated that the crabs with reduced SpDUOX2 gene expression showed a profound
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difference in bacterial community composition.
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4. Discussion In this study, we identified the dual oxidases (SpDUOX1 and SpDUOX2) in the mud crab
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Scylla paramamosain, and examined their functions in the regulation of hemolymph microbiota
339
homeostasis in the host. Our results revealed that SpDUOXs were associated with ROS production
340
and played roles in microbial homeostasis in crab hemolymph. It has been reported that DUOXs
341
are distributed similarly in various tissues in mammals, insects, and crustacean. For instance, in
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human, DUOX transcripts have been reported in brain, heart, kidney, pancreas, skin, liver, and
343
prostate (Ha et al., 2005; De et al., 2000). DUOX1 and DUOX2 are expressed in the epithelial
344
cells of the gastrointestinal and respiratory tracts, but not in thyroid tissue (Juhasz et al., 2009).
345
Recently, in the silkmoth, Bombyx mori, BmDUOX was shown to be expressed in many tissues,
346
with high expression in testis, ovary, fat body and integument (Oliveira et al., 2013). In the case of
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aquatic animals, the MjDUOX1 and MjDUOX2 of kuruma shrimp (M. japonicus) were highly
348
expressed in gills, stomach, hepatopancreas, ovaries, hematopoietic organs, and intestine (Yang et
349
al., 2016; Inada et al., 2013). These findings support the findings of the present study where both
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SpDUOX1 and SpDUOX2 were widely distributed in different tissues (i.e., hemocytes,
351
hepatopancreas, muscle, stomach, mid-intestine, subcuticular epidermis, gill, and heart) of mud
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crabs. Given that our results showed the expression of SpDUOXs in hemocytes, suggest their
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crucial importance in regulating microbiota homeostasis in the hemolymph of mud crab.
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In human blood circulation, ROS seems to be important in stimulating immune responses
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during acute wound healing (Dunnill et al., 2017). The roles of ROS such as O2- and H2O2 in
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innate immunity in excluding invasive microbes have also been reported in crustaceans (Muñoz et
357
al., 2000). Muñoz found the association between O2- production with E. coli quantity in the
358
hemocytes of Pacific white shrimp (L. vannamei) (Muñoz et al., 2000). Herein, to the best of our
359
knowledge, this is the first study on the role of DUOXs in the hemolymph of mud crab, although
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the genes encoding ROS-producing enzymes in shrimp have been well studied (Inada et al., 2013).
361
Here, SpDUOXs were found to be up-regulated in both hemocytes and hepatopancreas of mud
362
crab at 6 or 12 hpi with either V. parahemolyticus or LPS, suggesting their involvement in the
363
immune response to bacterial infection, especially in the first stages of infection. These results are
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generally consistent with previous findings in kuruma shrimp (M. japonicas) after challenge with
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366
2013), or in mice with microbial dysbiosis in the intestinal epithelial mucosa (Grasberger et al.,
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2015). Additionally, in the human respiratory epithelium, DUOX has been reported to be the main
368
isoform responsible for the production of extracellular H2O2 in response to LPS or flagella (Koff
369
et al., 2008; Linderholm et al., 2010).
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It was observed here that, SpDUOX1 and SpDUOX2 knockdown by RNAi resulted in less
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ROS production, thus suggesting that they might play important roles in the hemolymph microbial
372
homeostasis of mud crabs. SpDUOXs induced the generation of ROS in hemocytes, suggesting
373
their importance in inhibiting pathogens invading the hemolymph of mud crab. Previous reports
374
have indicated that mammalian DUOX functions to generate sufficient H2O2 that supports the
375
production of bactericidal hypothiocyanite in the presence of airway surface liquid components
376
(Moskwa et al., 2007). Both hemocytes and hepatopancreas are important tissues in the immune
377
system of crustaceans (Cerenius et al., 2004). In this study, depletion of SpDUOXs increased the
378
hemolymph bacterial count of mud crabs, suggesting that hemolymph was an important tissue
379
responsible for immune response in mud crab (Zhang et al., 2015). This observation is in
380
agreement with one previous study, where an increased population of microbiota was observed in
381
the intestine of kuruma shrimp (M. japonicas) after MjDUOX RNAi (Yang et al., 2016). The
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microbiota harboring the intestine of mud crabs after an RNAi has not yet been explored and
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therefore merits further investigations.
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When the technique of high-throughput sequencing was applied to investigate the changes in
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the hemolymph microbiota population of mud crabs after siDUOX RNAi, the results showed the
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major hemolymph microbiota to include the genera Flavobacterium, Arcobacter, Lactobacillus,
387
Pseudomonas,
388
Hydrogenophaga, Acinetobacter, Marinomonas, and Shewanella, which is almost similar to the
389
results obtained previously (Zhang et al., 2018; Givens et al., 2013). Interestingly, many
390
predominant potential microbial pathogens in other aquatic invertebrates were found in the
391
hemolymph of mud crabs, including Vibrio, Acinetobacter, Aeromonas, Flavobacterium,
392
Arcobacter, and Tenacibaculum (Longeon et al., 2004; Williams et al., 2017; Carolin et al., 2014),
393
members of which have caused great economic losses in the aquaculture industry (Lafferty et al.,
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2015). In this study, we found that the composition and richness of the hemolymph microbial
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Acinetobacter,
Vibrio,
Lactococcus,
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Bacteroides,
Pseudoalteromonas,
ACCEPTED MANUSCRIPT community changed markedly in SpDUOX-RNAi individauls. SpDUOX-RNAi crabs had a higher
396
relative abundance of Flavobacterium and Arcobacter than the controls. In the case of S.
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paramamosain, some Acinetobacter spp are opportunistic pathogens as in human and some
398
aquaculture animals (Xiong et al., 2015), while some Aeromonas spp. and Flavobacterium spp,
399
are also frequently isolated from diseased fish and shrimps, causing haemorrhagic septicaemia, fin
400
rot or furunculosis (Fečkaninová et al., 2017; Anson et al., 2015). Similarly, Arcobacter and
401
Tenacibaculum are known pathogens that are reported to have caused considerable economic
402
losses in marine fish and mollusks aquaculture (Burioli et al., 2018; Collado et al., 2014). In any
403
case, the hemolymph of mud crabs also harbors potential probiotics such as Pseudoalteromonas,
404
which protect the host from infection (Desriac et al., 2014). A previous study reported that the
405
abundance of Pseudoalteromonas in the hemolymph of C. angulate was able to produce
406
antimicrobials beneficial to the host against Vibrio infection (Longeon et al., 2004). However,
407
rapid proliferation of these microorganisms in the hemolymph may lead to diseases, which has
408
been found previously in mud crab (S. paramamosain) (Zhang et al., 2018) and kuruma shrimp (M.
409
japonicas) (Kaizu et al., 2011; Fagutao et al., 2009; Wang et al., 2015). It was indicated that the
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crabs with SpDUOX2 silence led to a profound change in bacterial community composition in our
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study, and the change might be a reflection of difference of the resistance of microbes in
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hemolymph to ROS killing activity in mud crab.
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In conclusion, SpDUOX1 and SpDUOX2 were identified in S. paramamosain, and were
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shown to be involved in ROS production during hemolymph immune response. Depletion of
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SpDUOX1 and SpDUOX2 increased hemolymph bacterial count of mud crabs, as the bacterial
416
clearance ability of hemolymph was significantly reduced. A significant increase in the relative
417
abundance of the genera Marinomonas, Pseudoalteromonas, Shewanella, and Hydrogenoph was
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observed following siDUOX2 treatment. The findings here therefore indicated that SpDUOXs
419
may play important roles in maintaining the bacterial homeostasis in the hemolymph of mud
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crabs.
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Acknowledgments The work was supported by grants from National Natural Science Foundation of China
424
(41641053,
41376176),
425
(2017B020204003), the “Sail Plan” Program for Outstanding Talents of Guangdong Province
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(14600605)
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(2017KCXTD014).
support
from
provincial
Department
project
of
of
Education
Science
of
and
Technology
Guangdong
Province
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and
Guangdong
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probiotics for aquaculture. Fems. Microbiol. Lett. 350(1), 107-116.
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Table 1. Primers used in this study Sequence (5’-3’)
Objection
UPM (long)
CTAATACGACTCACTATAGGGCAAGCAGTGGTATCAACGCAGAGT
RACE-PCR
UPM (short)
CTAATACGACTCACTATAGGGC
RACE-PCR
NUP
AAGCAGTGGTATCAACGCAGAGT
RACE-PCR
DUOX1-GSP3-1
CCTGGTGGGACGCCAACGACTTC
3’RACE
DUOX1-GSP3-2
GTATGCTGCACAGCCCGATCTGGTTA
DUOX1-GSP5-1
CCTGGGGCTGTTAGGGCTCTGGC
DUOX1-GSP5-2
GGGGTTCTGGTTGGTCCGCTGGT
DUOX2-GSP3-1
GAGTTTCACCGCTACATGGCGTCC
DUOX2-GSP3-2
CTGCCTCCGCCATGATGTTCACTTAC
M13F
CGCCAGGGTTTTCCCAGTCACGAC
M13R
AGCGGATAACAATTTCACACAGGA
Q_DUOX1F
GGATGTGATTCTCTGTAACGACG
qRT-PCR
Q_DUOX1R
TTCCTCACCGTGTTGTAGTCC
qRT-PCR
Q_DUOX2F
TGGAGACAAAATAGGCAACGAA
qRT-PCR
Q_DUOX2R
CCCGTGGTCCACAAAAACAGTA
qRT-PCR
siDUOX1F
GATCACTAATACGACTCACTATAGGGGCAAGACGTGTTCTTCCATTT
RNAi
siDUOX1R
AAGCAAGACGTGTTCTTCCATCCCTATAGTGAGTCGTATTAGTGATC
RNAi
siDUOX2F
GATCACTAATACGACTCACTATAGGGCCAAAGTACTTGCGCACAATT
RNAi
siDUOX2R
AACCAAAGTACTTGCGCACAACCCTATAGTGAGTCGTATTAGTGATC
RNAi
siGFP-F
GATCACTAATACGACTCACTATAGGGGGCTACGTCCAGGAGCGCACCTT
RNAi
siGFP-R
AAGGTGCGCTCCTGGACGTAGCCCCCTATAGTGAGTCGTATTAGTGATC
RNAi
β-actin-F
GCGGCAGTGGTCATCTCCT
qRT-PCR
β-actin-R
GCCCTTCCTCACGCTATCCT
qRT-PCR
27F
AGAGTTTGATCCTGGCTCAG
16S rRNA
1492R
TACGGTTACCTTGTTACGACTT
16S rRNA
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Primer
3’RACE 5’RACE 5’RACE
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3’RACE PCR screening PCR screening
ACCEPTED MANUSCRIPT Table 2. Basic information of mud crab hemolymph microbiota Miseq sequencing results Total_tag
Tax_tag
Uniq_tag
Average Length
OTUs number
DUOX2-1
79703
60481
19222
252
2156
DUOX2-2
75158
56036
19122
253
1090
DUOX2-3
80131
64484
15647
253
1848
DUOX2-4
80071
67460
12611
253
DUOX2-5
62116
53796
8320
252
GFP1
94740
80288
14452
253
GFP2
62876
57143
5733
252
GFP3
47004
34154
12850
GFP4
80208
65905
14303
GFP5
75730
66312
9418
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Sample
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1068 779
1205 489
253
1347
253
1850
253
1568
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Table 3. Matastat analysis of the relative abundances of hemolymph microbiota for the
579
siGFP and siDUOX2 groups at the genus level. Taxonomy
siGFP
P-value
Q-value
4.08%
0.07%
34.20%
0.41%
0.39%
75.80%
0.41%
4.15%
75.80%
0.24%
1.64%
75.80%
0.20%
3.43%
75.80%
Variance
S.D.
Mean
Variance
S.D.
Others
65.30%
0.06%
1.09%
48.68%
0.83%
Marinomonas
0.15%
0.00%
0.06%
1.37%
0.01%
Pseudoalteromonas
0.31%
0.00%
0.07%
1.08%
0.01%
Hydrogenophaga
0.13%
0.00%
0.04%
0.67%
0.00%
Shewanella
0.22%
0.00%
0.07%
0.62%
0.00%
Rubrobacter
0.15%
0.00%
0.04%
0.47%
Arenibacter
0.06%
0.00%
0.03%
0.37%
Altererythrobacter
0.05%
0.00%
Peredibacter
0.02%
0.00%
Aureispira
0.01%
0.00%
Bizionia
0.04%
0.00%
Haliangium
0.02%
0.00%
Thalassotalea
0.02%
0.00%
Megasphaera
0.01%
Phyllobacterium Burkholderiaceae
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Mean (%)
0.00%
0.12%
0.84%
75.80%
0.00%
0.16%
3.77%
75.80%
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at genus level
siDUOX
0.24%
0.00%
0.09%
2.91%
75.80%
0.01%
0.21%
0.00%
0.09%
2.95%
75.80%
0.01%
0.14%
0.00%
0.07%
4.71%
75.80%
0.02%
0.13%
0.00%
0.03%
2.57%
75.80%
0.01%
0.07%
0.00%
0.03%
4.09%
75.80%
0.01%
0.07%
0.00%
0.02%
2.90%
75.80%
0.00%
0.01%
0.06%
0.00%
0.02%
2.87%
75.80%
0.01%
0.00%
0.01%
0.05%
0.00%
0.01%
0.10%
34.20%
0.09%
0.00%
0.02%
0.04%
0.00%
0.02%
2.13%
75.80%
0.07%
0.00%
0.02%
0.03%
0.00%
0.01%
2.37%
75.80%
0.00%
0.00%
0.00%
0.03%
0.00%
0.01%
3.65%
75.80%
Cellulophaga
0.00%
0.00%
0.00%
0.02%
0.00%
0.01%
2.44%
75.80%
Alkanindiges
0.09%
0.00%
0.03%
0.00%
0.00%
0.00%
0.72%
75.80%
Ferruginibacter
0.02%
0.00%
0.01%
0.00%
0.00%
0.00%
2.17%
75.80%
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0.02%
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ACCEPTED MANUSCRIPT Figure legends
583
Fig. 1. Phylogenetic tree analysis of SpDUOXs relative to other known DUOXs proteins. 1000
584
bootstraps were performed on the Neighbor-Joining (NJ) tree to check repeatability of the results
585
using the MEGA 5.1 software, and the SpDUOXs is marked by black triangle ( ). Sp, Scylla
586
paramamosain; Mj, Marsupenaeus japonicus; Hs, Homo sapiens; Ce, Caenorhabditis elegans;
587
Cc ,Ceratitis capitata; Ld, Leptinotarsa decemlineata; Ot, Onthophagus taurus; Ac, Apis cerana;
588
Do, Drosophila obscura; As, Anopheles stephensi; Mi, Meloidogyne incognita; Nl,Nilaparvata
589
lugens; Pr,Pieris rapae; Zn, Zootermopsis nevadensis; Ar,Athalia rosae; Pg, Pseudomyrmex
590
gracilis; Cf, Camponotus floridanus; Dn, Dufourea novaeangliae; Mz, Maylandia zebra; Sd,
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Seriola dumerili; Nm, Numida meleagris; Cl, Columba livia; Am, Alligator mississippiensis; Cm,
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Chelonia mydas; Ol, Oryzias latipes; Cg, Crassostrea gigas; My, Mizuhopecten yessoensis.
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Fig. 2. Tissue distribution and expression patterns of SpDUOX1 and SpDUOX2. SpDUOX1
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(A) and SpDUOX2 (B) transcript levels in various tissues were normalized to that in hemocytes,
596
and β-actin was used as the reference gene. HE: hemocytes; MI: mid-intestine; HP:
597
hepatopancreas; MU: muscle; ST: stomach; SE: subcuticular epidermis; GI: gill; HT: heart.
598
Expression profiles of SpDUOXs in hemocytes (C and D), and hepatopancreas (E and F) of mud
599
crabs after Vibro parahemolyticus and LPS challenges. (G) The levels of H2O2 during immune
600
challenges. Mud crabs injected with phosphate buffered saline (PBS) were used as control and
601
β-actin as the reference gene. Data is shown as mean ± S.D. Significance was compared between
602
the experimental and control groups at the same time point. Asterisks indicate the significant
603
differences (*P<0.05 and **P<0.01).
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Fig. 3. Bacterial count and ROS assay in hemolymph after SpDUOXs knockdown in mud
606
crab. The ROS levels and bacterial count in the hemolymph of mud crabs after RNA interference
607
(RNAi). RNAi experiments were conducted with the injection of specific DUOXs-siRNA or
608
negative GFP-siRNA. qRT-PCR was used to analyze RNA interference efficiency of (A)
609
SpDUOX1 and (B) SpDUOX2. The ROS in the mud crab hemolymph (C) and the hemolymph
610
bacterial count (D) was detected at 24, 36, 48 hours after gene silence of SpDUOX1, SpDUOX2,
611
and SpDUOX1+X2, respectively. β-actin was used as a reference gene for internal control. Data is 26
ACCEPTED MANUSCRIPT 612
shown as mean ± S.D. Significance was compared between the siRNA injection and the negative
613
groups at the same time point. Asterisks indicate the significant differences (*P<0.05 and
614
**P<0.01).
615 Fig. 4. In vivo bacterial clearance assay at 24 h post SpDUOXs RNA interference.
617
Hemolymph, withdrawn from different mud crabs treated with DEPC, siGFP, siSpDUOX1 and
618
siSpDUOX2 followed by injection with V. parahaemolyticus, was diluted with 0.8% NaCl (1/20)
619
and cultured on a 2216E solid plate at 37 °C for 18 h. The number of colonies was counted and
620
recorded. GFP-siRNA was used as negative group and DEPC as a blank group. Asterisks indicated
621
significant differences (*P<0.05 and **P<0.01).
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Fig. 5. Bacterial community composition in the hemolymph of mud crab after SpDUOX2
624
RNA interference. Non-Metric Multi-Dimensional Scaling (NMDS) analysis. (A), Principal
625
Component analysis (PCoA) (B) and Shannon index analysis (C). Relative abundance of the top
626
10 phylum (D) and the top 20 genus (E). Venn diagram of the relative abundances of hemolymph
627
microbiota between the siGFP and siDUOX2 groups at the genus level (F).
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ACCEPTED MANUSCRIPT B
Relative expression of SpDUOX2
Relative expression of SpDUOX1
400
** ** 200
**
**
8
** 4
*
0
HE
MU
SK
GI
MI
HT
6
** 4
2
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A
0
HP
MU
GI
SK
630 D * 8
LPS V. parahemolyticus PBS
4
*
2
0 0h
6h
12h
24h
48h
Time post injection
Hepatopancreas
8
6
LPS V.parahemolyticus PBS
EP
*
2
*
**
*
0
0h
6h
12h
24h
48h
96h
HP
LPS V. parahemolyticus PBS
1.0
* *
0.5
0.0
F
6h
5
12h
24h
Hepatopancreas
4
48h
96h
*
3
*
2
1
*
0 6h
12h
24h
Time post injection
29
LPS V.parahemolyticus PBS
*
0h
Time post injection
632
1.5
0h
**
4
Hemocytes
* **
2.0
96h
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**
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Ralative expression of SpDUOX1
10
MI
Time post injection
631 E
2.5
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*
HT
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Hemocytes
Relative expression of SpDUOX2
10
Relative expression of SpDUOX2
Relative expression of SpDUOX1
C
HE
Tissue type
Tissue type
48h
96h
ACCEPTED MANUSCRIPT *
PBS V.parahemolyticus
80
60
40
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The content of H2O2(mmol/L)
G 100
20
0 0h
6h
12h
24h
48h
96h
Time post injection
633
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ACCEPTED MANUSCRIPT 636 B
1.0
*
0.5
**
0.0 24h
36h
2.0
siGFP siDUOX 1.5
*
1.0
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expression of SpDUOX2
siGFP siDUOX
Relative
Relative expression of SpDUOX1
A 1.5
** 0.5
0.0
48h
24h
Time post siRNA treatment
36h
*
**
**
*
*
*
30
24h
36h
48h
15
siGFP siDUOX1 siDUOX2 siDUOX1+2
** **
10
**
*
5
24h
36h
Time post siRNA treatment
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Time post siRNA treatment
Fig. 3.
**
0
0
638 639
**
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The content of H2O2(mmol/L)
90
60
The number of microbiata in the hemolymph(104)
D 20 siGFP siDUOX1 siDUOX2 siDUOX1+2
SC
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48h
Time post siRNA treatment
31
48h
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640
641
642
643
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1 X O U siD
TE D
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FP siG 2 X O U siD
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10
5
0
15
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Fig. 4.
The number of bacteria in 3 the hemolymph(10 CFU/ml)
ACCEPTED MANUSCRIPT 644 A 0.30
B siGFP siDUOX
siGFP4
siGFP1
0.15
siGFP siDUOX
siDUOX4
0.2 siDUOX3 siDUOX5
siGFP4
siDUOX5
MDS2
siDUOX2
siGFP2 siGFP3
0.0
siGFP5
-0.2
-0.15
siDUOX2
siGFP2siGFP3
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siDUOX3
0.00
PCoA2(19.29%)
siDUOX4 siGFP1 siGFP5
siDUOX1
siDUOX1
-0.30
-0.4
-0.4
-0.2
0.0
0.2
-0.4
0.4
-0.2
0.0
0.2
PCoA1(49.4%)
MDS1(stress: 0.063)
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ACCEPTED MANUSCRIPT Dear editor, The highlights are listed as following: ① full-length of SpDUOX1 with 4786 bp and SpDUOX2 with 5093 bp was isolated
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from mud crab. ② SpDUOX1 and SpDUOX2 might participate in maintaining bacterial homeostasis in the hemolymph of mud crabs.
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bacterial community composition.
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③ The crabs with reduced SpDUOX2 gene expression showed a profound difference in
With my best wishes!
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Shengkang LI