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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
<issn pub-type="epub">2296-7745</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2022.1087667</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Marine Science</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Physiological and transcriptome analysis of <italic>Mytilus coruscus</italic> in response to <italic>Prorocentrum lima</italic> and microplastics</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Xiao-wen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2081522"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Rong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fan</surname>
<given-names>Mei-hua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1087890"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zhi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Zhi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/932842"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zong-xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Chen-ying</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xuan</surname>
<given-names>Yu-kun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jian-xin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/851115"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiao-lin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1087810"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yan</surname>
<given-names>Xiao-jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/727600"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Marine Science and Technology College, Zhejiang Ocean University</institution>, <addr-line>Zhoushan, Zhejiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Petrochemical Engineering and Environment, Zhejiang Ocean University</institution>, <addr-line>Zhoushan, Zhejiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Laura Canesi, University of Genoa, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ruiwen Cao, Qilu University of Technology, China; Xinguo Zhao, Yellow Sea Fisheries Research Institute (CAFS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mei-hua Fan, <email xlink:href="mailto:dinger503@163.com">dinger503@163.com</email>; Xiao-jun Yan, <email xlink:href="mailto:yanxj@zjou.edu.cn">yanxj@zjou.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Marine Pollution, a section of the journal Frontiers in Marine Science</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1087667</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Tang, Yu, Fan, Yang, Liao, Yang, Xie, Xuan, Wang, Zhang and Yan</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tang, Yu, Fan, Yang, Liao, Yang, Xie, Xuan, Wang, Zhang and Yan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Nowadays, diarrheic shellfish toxicity (DSP) toxin and microplastics (MPs) are commonly found in coastal waters worldwide. Due to their widespread use, their persistence and toxicity, they may induce adverse effects on <italic>Mytilus coruscus</italic>. However, the underlying toxic mechanisms of DSP and MPs on <italic>M. coruscus</italic> remain unclear. This study explored the physiological index and transcriptome change of the digestive gland of adult <italic>M. coruscus</italic> exposed for 3 days to polystyrene (PS) MPs (0.2 mg/L, 90-100 &#x3bc;m) and <italic>Prorocentrum lima</italic> alone or in combination. The results showed that the CAT activity and MDA content significantly increased, respiration rate and feeding rate significantly decreased. The combination of MPs and <italic>P. lima</italic> caused more structural damage to the rough surface endoplasmic reticulum and mitochondria in the digestive glands of <italic>M. coruscus</italic>. The transcriptome analysis showed that 485 and 220 genes were up- and down-regulated, respectively, after exposure to <italic>P. lima</italic>; 1,989 up-regulated DEGs and 1,098 down-regulated DEGs were identified after exposure to MP treatment, and 1,004 up-regulated DEGs and 664 down-regulated DEGs were identified after exposure to the combination of <italic>P. lima</italic> and MPs. The DEGs were mainly enriched in the lysosome, mRNA surveillance pathway, carbon metabolism, the mTOR signaling pathway, the complement and coagulation cascades, and the TNF signaling pathway. The MP, <italic>P. lima</italic> exposure mainly induced the expression of RNA-binding protein musashi, serine/arginine repetitive matrix protein 1, low affinity immunoglobulin epsilon Fc receptor, toll-like receptor 2, caspase 7, calmodulin, E3 ubiquitin-protein ligase, serine/threonine-protein kinase PRP4, glutathione S-transferase, and heat shock 70 kDa protein. MPs and <italic>P. lima</italic> poison mainly influence the expression of RNA transport, immune related gene, apoptosis, signal related gene, and antioxidant gene change. The combination of MPs and <italic>P. lima</italic> has a synergistic toxic effect. This study provides a new insights into its physiological and molecular responses of <italic>M. coruscus</italic> to MPs and <italic>P. lima</italic> toxic exposure.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Mytilus coruscus</italic>
</kwd>
<kwd>microplastics</kwd>
<kwd>
<italic>Prorocentrum lima</italic>
</kwd>
<kwd>transcriptome</kwd>
<kwd>physiological response</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="170"/>
<word-count count="7694"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>In recent years, plastic pollution has attracted increasing attention from the public and has become a popular researched topic. Microplastic pollution has been a major ecological and societal issue, specifically for threatening marine ecosystems (<xref ref-type="bibr" rid="B18">Lebreton et&#xa0;al., 2017</xref>). The definition of Microplastics (MPs) is an upper size limit of 5&#xa0;mm plastic particles (<xref ref-type="bibr" rid="B22">Li et&#xa0;al., 2016</xref>) that have the characteristics of small size, easy diffusion, and chemical stability. Therefore, MPs are ubiquitous in daily life and easily transported in the marine environment (<xref ref-type="bibr" rid="B33">Scheurer and Bigalke, 2018</xref>). Given their small size and easy diffusion, MPs can be ingested easily by marine animals. Previous studies have shown that MPs, mostly microspheres, can cause adverse health impacts (<xref ref-type="bibr" rid="B37">Vital et&#xa0;al., 2021</xref>), including growth (<xref ref-type="bibr" rid="B16">Jiang et&#xa0;al., 2022</xref>), reproduction (<xref ref-type="bibr" rid="B44">Xu et&#xa0;al., 2020</xref>), enzyme activity (<xref ref-type="bibr" rid="B34">Trestrail et&#xa0;al., 2021</xref>), energy balance (<xref ref-type="bibr" rid="B40">Weber et&#xa0;al., 2021</xref>), and survival (<xref ref-type="bibr" rid="B32">Rist et&#xa0;al., 2016</xref>). At the molecular level, MPs ingested by marine animals affect many pathways involved in immune and stress responses, including the apoptotic processe, lysosomal response, antioxidant system (<xref ref-type="bibr" rid="B3">Capolupo et&#xa0;al., 2018</xref>), detoxification, and complement system (<xref ref-type="bibr" rid="B20">Li et&#xa0;al., 2021</xref>). The filtration rate of <italic>Mytilus galloprovincialis</italic> was significantly reduced with increasing the concentrations of polyethylene MP (PE-MP). PE-MPs induced oxidative damage and inactivated the antioxidative system (CAT and GST) in the digestive glands at 100 and 1000 &#x3bc;g/L PE-MP treatment (<xref ref-type="bibr" rid="B1">Abidli et&#xa0;al., 2021</xref>).</p>
<p>Due to some factors, the intensity and frequency of global warming (<xref ref-type="bibr" rid="B43">Wells et&#xa0;al., 2020</xref>), potentially microplastic pollution (<xref ref-type="bibr" rid="B4">Casabianca et&#xa0;al., 2019</xref>), and harmful algal blooms (HABs) are increasing worldwide. HABs have become a hot topic due to their increasing frequency and severity (<xref ref-type="bibr" rid="B35">Valdiglesias et&#xa0;al., 2013</xref>). The marine phytoplankton <italic>P. lima</italic>, <italic>P. concavum</italic>, and <italic>P. maculosumis</italic> are important HAB microalgae that can produce diarrhetic shellfish poisoning (DSP) and accumulate in bivalve mollusks, causing various toxicities (<xref ref-type="bibr" rid="B5">Chi et&#xa0;al., 2018</xref>). As reported, DSP exposure may cause damage to bivalve tissues, change the immune system and induce genotoxicity and cytotoxicity (<xref ref-type="bibr" rid="B5">Chi et&#xa0;al., 2018</xref>). Bivalves exposed to <italic>P. lima</italic> showed genotoxic effects on the gene expression involved in the immune system and cell cycle regulation. Previous studies also showed that some genes, such as glutathione S-transferase (GST), cytochrome P450, and antioxidant system enzymes, may be involved in the detoxification in shellfish (<xref ref-type="bibr" rid="B42">Wei et&#xa0;al., 2019</xref>). <italic>P. viridis</italic> might primarily rely on glutathione S-transferase (GST) and ABC transporters to counteract DSP toxins during short-term exposure. For more prolonged exposure could activate the inhibitors of apoptosis protein (IAP) and the Nrf2 signaling pathway, which in turn reduced the damage of DSP toxins to the mussel (<xref ref-type="bibr" rid="B8">Dou et&#xa0;al., 2020</xref>). However, the underlying mechanisms remain unclear after <italic>M. coruscus</italic> exposure to <italic>P. lima</italic>.</p>
<p>Mussels are marine bivalve shellfish, and they have a wide geographical distribution and a filter-feeding lifestyle. <italic>M. coruscus</italic> is often employed as a potential candidate in environmental monitoring, ecotoxicological investigations and assessments of chemical contaminants. <italic>M. coruscus</italic> is also one of the main cultured shellfish in the East China Sea. In recent years, the presence of microplastics in shellfish tissues, which were obtained either by sampling from marine environments or markets, has been reported in many studies (<xref ref-type="bibr" rid="B13">Hermabessiere et&#xa0;al., 2019</xref>). Moreover, the influence of DSP toxins on marine bivalve also worsened. Studies on the influence of DSP in shellfish have shown that DSP not only affects some significant enzyme activities but also affects the expression of genes related to the apoptosis, cytoskeleton, complement system, and immune system (<xref ref-type="bibr" rid="B12">He et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B26">Neves et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B8">Dou et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B14">Huang et&#xa0;al., 2021</xref>). To the best of our knowledge, outbreaks of <italic>P. lima</italic> are often accompanied by the occurrence of microplastics (<xref ref-type="bibr" rid="B7">Do Prado Leite et&#xa0;al., 2022</xref>), but the toxic effect mechanisms of the <italic>P. lima</italic> and microplastic combination on <italic>M. coruscus</italic> are unclear and require further research. The present study was focused on the changes in the antioxidant enzyme activity, respiration rate, feeding rate, subcellular structure and transcriptome of <italic>M. coruscus</italic> upon exposure to the DSP-producing dinoflagellate <italic>P. lima</italic> in combination with microplastics. The results of this study were intended to elucidate the toxic effects of HABs in combination with MPs on marine organisms and provide a better understanding of the interactions mechanisms of complex pollutants in the marine environment.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Materials</title>
<p>Adult mussels (70&#x2013;80 mm in length) were collected from a local market in Zhoushan city in the East China Sea. Then, each mussel was scrubbed and rinsed to remove any adhering material (including epiphytic biomass and environmental MPs) and acclimated in an aquarium in aerated artificial seawater (ASW, 26 &#xb1; 1) at 18 &#xb1; 1&#xb0;C for four days. The artificial seawater was filtered using a 0.22 &#x3bc;m filter membrane before use to maintain a microplastic-free environment.</p>
<p>The dinoflagellate <italic>P. lima</italic> was purchased from Shanghai Guangyu Biological Technology Co., Ltd. The <italic>P. lima</italic> were cultured in f/2 medium and grown in an artificial climate incubator at 20 &#xb1; 1&#xb0;C (light intensity:40 &#x3bc;mol m<sup>&#x2212;2</sup> s<sup>&#x2212;1</sup>, 12h/12&#xa0;h light/dark cycle).</p>
<p>Polystyrene (PS) is one of the most commonly manufactured plastic polymers and is frequently found as microplastic in the marine environment worldwide. Lumisphere uniform green fluorescent microspheres in emulsion at nominal sizes of 90-100 &#x3bc;m were purchased from Tianjin BaseLine ChromTech Research Center, Tianjin, China. These spheres were characterized as having excitation and emission wavelengths of 488 nm and 518 nm, and a density of 10 mg/mL. Images of the MPs obtained from the fluorescence microscope are given in <xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>.</p>
</sec>
<sec id="s2_2">
<title>Experimental design</title>
<p>The experimental mussels were divided into four experimental groups, including mussels raised in a tank with clean artificial seawater (ASW) as the control group (denoted CK), an exposure to <italic>P. lima</italic> (denoted LM), exposure to 0.2 mg/L polystyrene MPs (denoted MPs1), and <italic>P. lima</italic> and MP co-exposure groups (denoted LM_MPs1). According to previous studies, 0.2 mg/L polystyrene MP, which is close to the concentration of microplastics in realistic pollution scenarios, was chosen (<xref ref-type="bibr" rid="B17">Lasee et&#xa0;al., 2017</xref>). Seventy-six mussels were randomly selected to be equally divided into 4 experimental tanks filled with 10 L of membrane-filtered seawater with CK, LM, MP, and LM_MP treatments change to MPs1, and LM_MPs1  treatments. The exposure lasted for 72&#xa0;h, during which the MPs (0.2 mg/L) and <italic>P. lima</italic> microalgae (2&#xd7;10<sup>3</sup> cells mL<sup>&#x2212;1</sup> determined by LUNA-II&#x2122; Automated Cell Counter) were added twice a day, meanwhile the ASW was renewed, and no mussels died during the exposure. After 72&#xa0;h, the mussels were transferred to 12 tanks (3 repeats for each treatment, 1 mussel for each repeat) for respiration rate measurements. Another 12 tanks with mussels (3 repeats for each treatment, 1 mussel for each repeat) were used for the feeding rate measurement. Following exposure for 72&#xa0;h, each mussel shell surface was rinsed with sterile seawater. The gills, digestive glands, and kidneys from 3 mussels for each group were snap-frozen under liquid nitrogen and maintained at -80 &#x2103; until the measurement of biological indices and RNA extraction. Digestive gland tissues from 3 mussel individuals within the same treatment were pooled together as one sample for transcriptome analysis, with 3 repeats for each group. After 72 hours of exposure, one mussel was randomly selected from each tank, dissected to extract the digestive glands (size: 1 mm&#xb3;), and placed in centrifuge tubes filled with 4% glutaraldehyde. These individuals were used for transmission electron microscopy (TEM) observation.</p>
</sec>
<sec id="s2_3">
<title>Enzyme activity</title>
<p>The 100 mg tissues were ground into powder under liquid nitrogen and mixed adding nine times (W/V) the volume of saline. After centrifugation at 3000 rpm for 10&#xa0;min, the resulting supernatant was used for enzyme activities assay. The SOD and CAT activities and the MDA content were assayed using the Kits (Jian Cheng Bioengineering Research Institute, Nanjing, China), respectively, according to the instructions. Protein concentrations were measured by an enhanced BCA protein assay kit (Beyotime, Shanghai city China) according to the manufacturer&#x2019;s instructions.</p>
</sec>
<sec id="s2_4">
<title>Energy budget</title>
<p>After 72&#xa0;h of exposure, the energy budget was measured, including the respiration and feeding rates. The respiration rate (mg O<sub>2</sub> h<sup>&#x2212;1</sup>) determined was according to the dissolved oxygen variations in the ASW. The dissolved oxygen concentration (DO) (mg O<sub>2</sub> L<sup>&#x2212;1</sup>) was determined by YSI (YSI Pro Plus, Yellow Springs, USA) at the beginning (when moved to the tanks containing new ASW) and 1&#xa0;h later. The respiration rate was calculated from the difference in DO at the start and 1&#xa0;h later. After the mussels were moved to the new tanks, we added <italic>Isochrysis galbana</italic> (the common bait algae, 5&#xd7;10<sup>6</sup> cells mL<sup>&#x2212;1</sup> determined by LUNA-II&#x2122; Automated Cell Counter) as mussel food. The feeding rate was measured by tracking the changes in hourly algal concentrations in ASW (<xref ref-type="bibr" rid="B39">Wang et&#xa0;al., 2021</xref>).</p>
</sec>
<sec id="s2_5">
<title>Samples preparation for transmission electron microscopy</title>
<p>The digestive glands (size: 1 mm&#xb3;) were placed in centrifuge tubes filled with 2.5% glutaraldehyde and incubated overnight at 4&#xb0;C. The stationary liquid was removed, and rinsed the samples with 0.1 M phosphate buffer (pH 7.0) three times for 15&#xa0;min each and then 1% osmic acid solution was added, leaving the samples to stand for 2&#xa0;h. The excess osmic acid liquid was removed, and rinsed the samples with 0.1 M phosphate buffer (pH 7.0) three times for 15&#xa0;min each. The samples were dehydrated with ethanol solution of graded concentrations (30%, 50%, 70%, 80%, 90%, and 95%). Each concentration was applied for 15&#xa0;min, with the addition of 100% ethanol and 100% acetone for 20&#xa0;min. The samples were treated with a 1:1 (v/v) mixture of Spurr&#x2019;s embedding agent and acetone for 1&#xa0;h and then a 3:1 (v/v) mixture of Spurr&#x2019;s embedding agent and acetone for 3&#xa0;h. After permeation, the samples were embedded and heated overnight at 70 &#x2103; to obtain the embedded samples. The sections of 70&#x2013;90 nm samples slices were obtained by a Leica EM UC7 ultrathin slicer. The sections were stained with lead citrate solution and 50% uranium acetate saturation solution for 5&#x2013;10 min. After being dried, the sliced samples were observed under a Hitachi H-7650 transmission electron microscope.</p>
</sec>
<sec id="s2_6">
<title>RNA Extraction</title>
<p>The <italic>M. coruscus</italic> digestive gland tissue RNA extraction using TRIzol<sup>&#xae;</sup> reagent (Invitrogen), and the genomic DNA was removed using DNaseI (TaKaRa) according to the manufacturer&#x2019;s instructions. Agilent 2100 Bioanalyzer (Agilent RNA 6000 Nano Kit) and agarose gel electrophoresis have used the assay the integrity and purity of the extracted RNA. The high-quality RNA samples (OD260/280 = 1.8-2.2, OD260/230 &#x2265;2.0, 28S:18S &#x2265; 1.0, &gt;1 &#x3bc;g, RIN &#x2265; 6.5) were used to construct the cDNA library.</p>
</sec>
<sec id="s2_7">
<title>Transcriptome data analysis</title>
<p>Twelve libraries were prepared and sequenced using the DNBSEQ platform by Beijing Genomics Institute (Wuhan, China). The transcriptome raw data presented in the study are deposited in the SRA repository, accession number PRJNA904525. After the raw reads were filtered, we used HISAT to align clean reads to reference genome sequences. The functional annotation of all the unigenes was established by performing a BLAST search against <italic>M. coruscus</italic> with an e-value cutoff of 1e<sup>-5</sup>.</p>
</sec>
<sec id="s2_8">
<title>Differentially expressed gene analysis</title>
<p>The high-quality reads were mapped to the reference unigene sequences using Bowtie2 v2.2.5 software, and then the gene expression levels were calculated using RSEM (<xref ref-type="bibr" rid="B19">Li and Dewey, 2011</xref>). DEGs with a |log<sub>2</sub>FC|&#x2265;1 and Q value &#x2264; 0.05 were considered significantly differentially expressed genes (<xref ref-type="bibr" rid="B23">Love et&#xa0;al., 2014</xref>).</p>
</sec>
<sec id="s2_9">
<title>GO enrichment and KEGG pathway enrichment analysis of DEGs</title>
<p>GO and KEGG functional enrichment analyses were applied to identify DEGs significantly enriched in GO terms and metabolic pathways compared with the whole-transcriptome background, with <italic>Q</italic>-value (adjusted <italic>P</italic> value) &#x2264; 0.05. The GO and KEGG pathway enrichment analyses were performed using Goatools (<uri xlink:href="https://github.com/tanghaibao/Goatools">https://github.com/tanghaibao/Goatools</uri>), KOBAS (<uri xlink:href="http://kobas.cbi.pku.edu.cn">http://kobas.cbi.pku.edu.cn</uri>), and the R-function <italic>phyper</italic> (<xref ref-type="bibr" rid="B46">Zhao et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s2_10">
<title>qRT-PCR validation of gene expression</title>
<p>The isolated RNA sequencing samples were also used to perform real-time quantitative (qRT-PCR) analysis. From the DEGs, 5 related genes were selected to verify the reliability of the transcriptome by real-time fluorescence quantitative PCR. Total RNA was reverse transcribed to single-stranded cDNA using TransScript<sup>&#xae;</sup> All-in-One First-Strand cDNA Synthesis SuperMix for qPCR (one-step gDNA removal, PrimeScriptTM RT Reagent Kit (TaKaRa)) according to the manufacturer&#x2019;s instructions. Quantitative real-time PCR was performed on an ABI 7500 Real-Time PCR System (Applied Biosystems) using SYBR Green PCR kits (TaKaRa, China) according to the manufacturer&#x2019;s instructions. In the present study, &#x3b2;-actin was used as the control gene, and the PCR primers, which were designed using Primer Premier 5 software, are listed in <xref ref-type="supplementary-material" rid="ST1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. The qPCR cycling conditions were 95&#xb0;C for 30 s, followed by 40 cycles of 95&#xb0;C for 5 s and 60&#xb0;C for 34 s. Then, the melting curve stage was 95&#xb0;C for 15 s, 60&#xb0;C for 1&#xa0;min, and 95&#xb0;C for 15 s. The relative expression was calculated using the 2<sup>&#x2212;&#x394;&#x394;CT</sup> method. All the reactions were performed in triplicate, and each treatment had three biological repeats.</p>
</sec>
<sec id="s2_11">
<title>Statistical analyses</title>
<p>One-way ANOVA were performed using SPSS (version 25.0) and two-way ANOVA was performed using GraphPad Prism 8. Three replicates of each experiment and means were separated using Tukey&#x2019;s multiple range test and Sidak&#x2019;s multiple comparisons test with a significance threshold of adjusted <italic>p</italic> value &lt; 0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Biological index analysis</title>
<p>In the present study, the SOD, CAT, MDA content, respiration rate and feeding rate were detected. The oxidative responses in the different tissue and energy budget of mussels are shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Physiology index change of <italic>M. coruscus</italic> exposure to MPs and <italic>P. lima</italic>. <bold>(A) </bold>SOD activities, <bold>(B)</bold> CAT activities, <bold>(C)</bold> MDA content, <bold>(D)</bold> respiration rate, <bold>(E)</bold> feeding rate. Different letters indicate significant differences between different tissues in different concentrations of MPs in the presence or absence of <italic>P. lima</italic> in <bold>(A, B, C)</bold> (<italic>p</italic> &lt; 0.05), and different letters indicate significant differences in different groups in <bold>(D, E)</bold> (<italic>p</italic> &lt; 0.05), and asterisks indicate significant differences between the presence and absence of <italic>P. lima</italic> within each fixed concentration of MPs between different tissues. (*<italic>p</italic> &lt; 0.05; **<italic>p</italic> &lt; 0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g001.tif"/>
</fig>
<p>In the no-<italic>P. lima</italic> treatments, the SOD activity was significantly decreased by MP exposure (<italic>p</italic> &lt; 0.05). In MP-free treatments, <italic>P. lima</italic> exposure significantly reduced the SOD activity in the gills and digestive glands but significantly increased SOD activity in the kidney tissue (<italic>p</italic> &lt; 0.01). Combined exposure to <italic>P. lima</italic> and MPs significantly decreased SOD activity at high concentrations of MPs (<italic>p</italic> &lt; 0.01). The SOD activity in the digestive glands was lower than that in the kidneys and gills (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<p>The CAT activity significantly increased after exposure to single MPs in the gills (<italic>p</italic> &lt; 0.05), whereas the CAT activity significantly decreased after combined exposure in the kidney (<italic>p</italic> &lt; 0.05) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). <italic>P. lima</italic> significantly increased the CAT activity by MP-free treatments in the gills and kidneys (<italic>p</italic> &lt; 0.05) but significantly decreased the CAT activity by MP exposure in the kidney (<italic>p</italic> &lt; 0.05). CAT activity is higher in the kidneys of mussels than in the gills and digestive glands (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>).</p>
<p>The accumulation of MDA increased significantly (<italic>p</italic> &lt; 0.05) due to MP exposure to the no-<italic>P. lima</italic> group in the gills and kidneys and the <italic>P. lima</italic>-exposure group in the gills (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). <italic>P. lima</italic> significantly enhanced MDA concentrations without MPs in the gills (<italic>p</italic> &lt; 0.05) and digestive gland (<italic>p</italic> &lt; 0.01) but had no effect at 0.2 mg/L MPs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). The level of lipid peroxidation in the gill was higher than that in the two other tissues (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>).</p>
<p>The respiration rate was significantly decreased by the three exposure methods in the MPs1, LM, and LM_MPs1 groups. It was significantly lower under the combined exposure than under the single exposure (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>). For the feeding rate, there were no significant differences among treatments under single exposure in MPs1 and LM but significant decreases after the combined exposure of <italic>P. lima</italic> and MPs (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<title>Changes in subcellular ultrastructure in the digestive gland cell of <italic>M. coruscus</italic> under MP and <italic>P. lima</italic> exposure</title>
<p>To consolidate the subcellular organizatio change of <italic>M. coruscus</italic> exposure to MPs and <italic>P. lima</italic> with the subcellular organization, we observed digestive gland cells using transmission electron microscopy (TEM). The ultrastructural changes in bivalves in response to MPs or <italic>P. lima</italic> (<xref ref-type="bibr" rid="B36">Vasanthi et&#xa0;al., 2021</xref>). Consistently, MPs and harmful algae greatly altered the subcellular structure of the digestive gland cell. TEM results showed a normal cell structure in the control group with numerous ribosomes present at the rough-surfaced endoplasmic reticulum. The mitochondria (M) were normal in shape and size with abundant cristae (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In the <italic>P. lima</italic> exposure treatments, the rough-surfaced endoplasmic reticulum was significantly swollen, but the ribosomes were still abundant (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). In the 0.2 mg/L MP exposure treatment, the ribosomes on the rough-surfaced endoplasmic reticulum were detached, and obvious endoplasmic reticulum membrane dissolutions also appeared (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Swelling of the rough-surfaced endoplasmic reticulum and mitochondria was clear in the combined <italic>P. lima</italic> and 0.2 mg/L MP exposure group, and the cristae of is the mitochondria were reduced significantly (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>). TEM analysis revealed that the presence of MPs and <italic>P. lima</italic> can cause some damage to the digestive gland organelles of <italic>M. coruscus</italic>, and the combination of MPs and <italic>P. lima</italic> intensified the toxic effect on the digestive gland.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Transmission electron micrographs of the digestive gland of <italic>M. coruscus</italic> after exposure to MPs and <italic>P. lima</italic> for 72&#xa0;h. <bold>(A)</bold> Control, <bold>(B)</bold> <italic>P. lima</italic> exposure, <bold>(C)</bold> 0.2 mg/L MPs exposure, <bold>(D)</bold> <italic>P. lima</italic> and 0.2 mg/L MPs exposure. M, mitochondria; RER, rough-surfaced endoplasmic reticulum; R, ribosome; Mag, &#xd7;50000, Scale bar: 0.2&#x3bc;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Transcriptome sequencing and gene expression quantity analysis</title>
<p>Twelve cDNA libraries were obtained from the digestive gland of mussel samples, including the control group, <italic>P. lima</italic> exposure group, MP exposure group, and combined <italic>P. lima</italic> and MP group, and three biological repeats of each group. Twelve cDNA libraries were sequenced with the DNBSEQ platform, and the sequencing statistics data are outlined in <xref ref-type="supplementary-material" rid="ST2">
<bold>Supplementary Table&#xa0;2</bold>
</xref>. Each sample average produced approximately 6.36 Gb of data and Q30 &gt; 92% for each library.</p>
<p>The clean reads were mapped to the <italic>M. coruscus</italic> genome through HISAT2, and in total, 38.53% -74.12% of the alignment was mapped to the genome. The filtered high-quality clean reads were assembled into 27,971 novel transcripts; of these, 21,497 were new alternative splicing subtypes of known protein-coding genes, and 6,474 were transcripts of new protein-coding genes. The size distribution of all the assembled transcripts is shown in <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>, and most assembled transcripts are have a length of 601-900 bp. As shown in <xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>, a total of 23,426 genes were identified from the digestive glands with FPKM &gt;1, including 16,853, 18,718, 16,745, and 17,661 expressed genes in CK, MPs1, LM, and LM_MPs1, respectively. The numbers of genes crossed in <italic>P. lima</italic> and the control group, 0.2 mg/L MPs treatment and control groups, and <italic>P. lima</italic> and 0.2 mg/L MP treatment and control groups were 14,198, 13,936, and 14,255, respectively. A Venn diagram showed the 12,607 genes shared by all the samples (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Differentially expressed gene analysis</title>
<p>According to the gene expression levels of each sample, the DEGs were analyzed by DEseq2. Among the transcripts mentioned above, 485 DEGs were up-regulated and 220 DEGs were down-regulated after exposure to <italic>P. lima</italic> for 72&#xa0;h compared with the control group conditions, while 1,004 DEGs were up-regulated and 664 DEGs were down-regulated after exposure to <italic>P. lima</italic> and 0.2 mg/L MPs for 72&#xa0;h compared with the control group (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). In addition, 1,989 up-regulated and 1,098 down-regulated DEGs were obtained under MPs treatment compared with the control group conditions, while 78 up-regulated DEGs and 62 down-regulated DEGs were obtained under <italic>P. lima</italic> and 0.2 mg/L MPs treatment groups compared with <italic>P. lima</italic> treatment conditions, and 55 up-regulated DEGs and 44 down-regulated DEGs were obtained under <italic>P. lima</italic> and 0.2 mg/L MPs treatment groups compared with 0.2 mg/L MP exposure conditions (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). We noted that the most abundant DEGs were present in the 0.2 mg/L MP treatment and <italic>P. lima</italic>, and 0.2 mg/L MP treatment groups compared with the control group. These results indicated that the digestive gland showed a stronger response to MPs. A Venn diagram (<xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary Figure&#xa0;4</bold>
</xref>) was used to elucidate the relationship of the differentially expressed genes between the four treatments in each sample.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The volcano maps of DEGs in different pairwise comparisons of the digestive gland <bold>(A-E)</bold>. Number of DEGs from pairwise comparisons among the five groups of the digestive gland <bold>(F)</bold>. CK, control; LM, <italic>P. lima</italic> exposure; LM_MPs1, <italic>P. lima</italic> &amp; 0.2 mg/L MPs exposure; MPs1: 0.2 mg/L MPs exposure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g003.tif"/>
</fig>
<p>To uncover the differentially expressed genes that were activated by the single or combined exposure of <italic>P. lima</italic> and MPs, the transcripts that passed the critical value (fold change &gt;2, <italic>Q</italic> value &lt;0.05) were further analyzed, and the results are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Compared with the control group, the up-regulated genes were leucine-rich repeats and death domain-containing protein, dual serine/threonine and tyrosine protein kinase in the LM group, complement C1q tumor necrosis factor-related protein 6, serine/threonine-protein kinase LATS1/2 in the LM_MPs1 group, dual serine/threonine and tyrosine protein kinase, 2&#x2019;-5&#x2019;-oligoadenylate synthetase in the MPs1 group. Compared with the control group, the down-regulated gene was mucin-5 in the LM group, leucine-rich repeat-containing protein 16 in the LM_MPs1 group, and poly [ADP-ribose] polymerase 10/14/15 in the MPs1 group. Under the LM_MPs1 group compared with the LM group conditions, the up-regulated genes were caspase 7 and poly [ADP-ribose] polymerase, and the most downregulated gene was dual serine/threonine and tyrosine protein kinase. Some up- or down-regulated DEGs that are directly involved in the innate immune system and signal transduction, including calmodulin, E3 ubiquitin-protein ligase, toll-like receptor, complement c1q-like protein, and heat shock 70 kDa protein. Some antioxidant-related DEGs, including peroxidase and glutathione S-transferase, are also shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>The shared and unique DEGs of the digestive gland in <italic>M. coruscus</italic> among the different comparison groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Gene ID</th>
<th valign="top" rowspan="2" align="center">Description</th>
<th valign="top" rowspan="2" align="center">GO analysis</th>
<th valign="top" rowspan="2" align="center">KEGG pathway</th>
<th valign="top" colspan="5" align="center">Log2 Fold change</th>
</tr>
<tr>
<th valign="top" align="center">CK-vs-LM</th>
<th valign="top" align="center">CK-vs-LM_MPs1</th>
<th valign="top" align="center">CK-vs-MPs1</th>
<th valign="top" colspan="2" align="center">LM-vs-LM_MPs1</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="left">DEGs shared by three group (CK-vs-LM, CK-vs-LM_MPs1, CK-vs-MPs1)</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_41889</td>
<td valign="middle" align="left">Leucine-rich repeats and death domain-containing protein</td>
<td valign="middle" align="left">GO:0005524//ATP binding</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center">7.17</td>
<td valign="middle" align="center">5.68</td>
<td valign="middle" align="center">4.91</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_7334</td>
<td valign="middle" align="left">serine/threonine-protein kinase LATS1/2</td>
<td valign="middle" align="left">GO:0007165//signal transduction</td>
<td valign="middle" align="left">Ko04391//Hippo signaling pathway</td>
<td valign="middle" align="center">5.78</td>
<td valign="middle" align="center">7.69</td>
<td valign="middle" align="center">9.18</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_20626</td>
<td valign="middle" align="left">Calmodulin</td>
<td valign="middle" align="left">GO:0005488//binding</td>
<td valign="middle" align="left">Ko04024//cAMP signaling pathway</td>
<td valign="middle" align="center">4.52</td>
<td valign="middle" align="center">4.88</td>
<td valign="middle" align="center">5.71</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_32620</td>
<td valign="middle" align="left">E3 ubiquitin-protein ligase TRIP12</td>
<td valign="middle" align="left">GO:0003824//catalytic activity</td>
<td valign="middle" align="left">Ko04120//Ubiquitin mediated proteolysis</td>
<td valign="middle" align="center">3.78</td>
<td valign="middle" align="center">4.12</td>
<td valign="middle" align="center">4.87</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_47399</td>
<td valign="middle" align="left">TNF receptor-associated factor 3</td>
<td valign="middle" align="left">GO:0023052//signaling</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center">2.56</td>
<td valign="middle" align="center">2.83</td>
<td valign="middle" align="center">2.71</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_10335</td>
<td valign="middle" align="left">Actin related protein 2/3 complex</td>
<td valign="middle" align="left">GO:0110165//cellular anatomical entity</td>
<td valign="middle" align="left">Ko04666//Fc gamma R-mediated phagocytosis</td>
<td valign="middle" align="center">-3.53</td>
<td valign="middle" align="center">-3.99</td>
<td valign="middle" align="center">-2.62</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="top" colspan="9" align="left">DEGs shared by CK-vs-LM and CK-vs-LM_MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_41850</td>
<td valign="middle" align="left">Heat shock 70kDa protein 5</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04918//Thyroid hormone synthesis</td>
<td valign="middle" align="center">3.55</td>
<td valign="middle" align="center">3.48</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">DEGs shared by CK-vs-LM and CK-vs-MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_28642</td>
<td valign="middle" align="left">Baculoviral IAP repeat-containing protein 2/3</td>
<td valign="middle" align="left">GO:0110165//cellular anatomical entity</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center">6.53</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7.09</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_15916</td>
<td valign="middle" align="left">Rho-associated protein kinase 2</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04024//cAMP signaling pathway</td>
<td valign="middle" align="center">5.03</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.88</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_24847</td>
<td valign="middle" align="left">Mitogen-activated protein kinase 14</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04657//IL-17 signaling pathway</td>
<td valign="middle" align="center">2.62</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.27</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_47399</td>
<td valign="middle" align="left">TNF receptor-associated factor 3</td>
<td valign="middle" align="left">GO:0023052//signaling</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center">2.56</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.71</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_38817</td>
<td valign="middle" align="left">Caspase 8</td>
<td valign="middle" align="left">GO:0010941//regulation of cell death</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center">-2.49</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-2.46</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_46332</td>
<td valign="middle" align="left">Peroxin-1</td>
<td valign="middle" align="left">GO:0071702//organic substance transport</td>
<td valign="middle" align="left">Ko04146//Peroxisome</td>
<td valign="middle" align="center">-3.72</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-4.60</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">DEGs shared by CK-vs-LM_MPs1 and CK-vs-MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_28478</td>
<td valign="middle" align="left">Glutathione S-transferase sigma 2</td>
<td valign="middle" align="left">GO:0016740//transferase activity</td>
<td valign="middle" align="left">Ko00980//Metabolism of xenobiotics by cytochrome P450</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5.14</td>
<td valign="middle" align="center">5.15</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_8118</td>
<td valign="middle" align="left">Toll-like receptor 2</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04620//Toll-like receptor signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.93</td>
<td valign="middle" align="center">5.41</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G001044</td>
<td valign="middle" align="left">E3 ubiquitin-protein ligase RBBP6</td>
<td valign="middle" align="left">GO:0005488//binding</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.22</td>
<td valign="middle" align="center">5.37</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_23837</td>
<td valign="middle" align="left">Peptidoglycan recognition protein</td>
<td valign="middle" align="left">GO:0006955//immune response</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3.83</td>
<td valign="middle" align="center">3.41</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_17216</td>
<td valign="middle" align="left">Caspase 7</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.78</td>
<td valign="middle" align="center">3.70</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_3425</td>
<td valign="middle" align="left">Death-associated protein kinase</td>
<td valign="middle" align="left">GO:0023052//signaling</td>
<td valign="middle" align="left">Ko04140//Autophagy - animal</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-3.01</td>
<td valign="middle" align="center">-3.00</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_42718</td>
<td valign="middle" align="left">Complement C1q tumor necrosis factor-related protein 6</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04610//Complement and coagulation cascades</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-5.32</td>
<td valign="middle" align="center">-5.55</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G002391</td>
<td valign="middle" align="left">Jagged-1</td>
<td valign="middle" align="left">GO:0030234//enzyme regulator activity</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-6.40</td>
<td valign="middle" align="center">-6.46</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_49586</td>
<td valign="middle" align="left">Adhesion G protein-coupled receptor E3</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04330//Notch signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-8.68</td>
<td valign="middle" align="center">-4.01</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Unique DEGs of CK-vs-LM group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_9807</td>
<td valign="middle" align="left">Complement component 4</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04610//Complement and coagulation cascades</td>
<td valign="middle" align="center">4.86</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_58363</td>
<td valign="middle" align="left">Mitogen-activated protein kinase kinase 3</td>
<td valign="middle" align="left">GO:0003824//catalytic activity</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center">3.90</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_51994</td>
<td valign="middle" align="left">Heat shock 70kDa protein 1/2/6/8</td>
<td valign="middle" align="left">GO:0005524//ATP binding</td>
<td valign="middle" align="left">Ko04010//MAPK signaling pathway</td>
<td valign="middle" align="center">3.37</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_43169</td>
<td valign="middle" align="left">Serine/threonine-protein kinase ULK4</td>
<td valign="middle" align="left">GO:0003824//catalytic activity</td>
<td valign="middle" align="left">Ko04145//Phagosome</td>
<td valign="middle" align="center">-3.89</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_48537</td>
<td valign="middle" align="left">Caspase 2</td>
<td valign="middle" align="left">GO:0010941//regulation of cell death</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center">-4.73</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Unique DEGs of CK-vs-LM_MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_14364</td>
<td valign="middle" align="left">Complement C1q tumor necrosis factor-related protein 6</td>
<td valign="middle" align="left">GO:0016021//integral component of membrane</td>
<td valign="middle" align="left">Ko04974//Protein digestion and absorption</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">8.77</td>
<td valign="middle" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G001110</td>
<td valign="middle" align="left">E3 ubiquitin-protein ligase RNF213</td>
<td valign="middle" align="left">GO:0016740//transferase activity</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.86</td>
<td valign="middle" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_16280</td>
<td valign="middle" align="left">Immunoglobulin superfamily member 9B</td>
<td valign="middle" align="left">GO:0110165//cellular anatomical entity</td>
<td valign="middle" align="left">Ko04010//MAPK signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.63</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_30325</td>
<td valign="middle" align="left">Mitogen-activated protein kinase kinase 7</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-4.04</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_51374</td>
<td valign="middle" align="left">Heat shock 70kDa protein 5</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04141//Protein processing in endoplasmic reticulum</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-4.42</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Unique DEGs of CK-vs-MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_1650</td>
<td valign="middle" align="left">Fibroblast growth factor receptor 3</td>
<td valign="middle" align="left">GO:0023052//signaling</td>
<td valign="middle" align="left">Ko04014//Ras signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7.09</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_13474</td>
<td valign="middle" align="left">Peroxidase</td>
<td valign="middle" align="left">GO:0006979//response to oxidative stress</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6.37</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_39699</td>
<td valign="middle" align="left">FAS-associated death domain protein</td>
<td valign="middle" align="left">GO:0042981//regulation of apoptotic process</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center">6.26</td>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_4712</td>
<td valign="middle" align="left">Glutathione dehydrogenase/transferase</td>
<td valign="middle" align="left">GO:0016740//transferase activity</td>
<td valign="middle" align="left">Ko00480//Glutathione metabolism</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="center">5.67</td>
<td valign="top" colspan="2" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G005957</td>
<td valign="middle" align="left">Low affinity immunoglobulin epsilon Fc receptor</td>
<td valign="middle" align="left">GO:0005488//binding</td>
<td valign="middle" align="left">Ko04330//Notch signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5.39</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G006309</td>
<td valign="middle" align="left">Toll-like receptor 4</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04620//Toll-like receptor signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.67</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G004868</td>
<td valign="middle" align="left">Complement C1q tumor necrosis factor-related protein 6</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04610//Complement and coagulation cascades</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4.50</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_25666</td>
<td valign="middle" align="left">Caspase 7</td>
<td valign="middle" align="left">GO:0008233//peptidase activity</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3.79</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_41922</td>
<td valign="middle" align="left">Heat shock 70kDa protein 1/2/6/8</td>
<td valign="middle" align="left">GO:0110165//cellular anatomical entity</td>
<td valign="middle" align="left">Ko04144//Endocytosis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-5.99</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="middle" align="left">MCOR_9191</td>
<td valign="middle" align="left">Poly [ADP-ribose] polymerase 10/14/15</td>
<td valign="middle" align="left">GO:0007165//signal transduction</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-7.79</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="9" align="left">Unique DEGs of LM-vs-LM_MPs1 group</th>
</tr>
<tr>
<td valign="middle" align="left">MCOR_14364</td>
<td valign="middle" align="left">Complement C1q tumor necrosis factor-related protein 6</td>
<td valign="middle" align="left">GO:0031224//intrinsic component of membrane</td>
<td valign="middle" align="left">Ko04974//Protein digestion and absorption</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">8.56</td>
</tr>
<tr>
<td valign="middle" align="left">MCOR_9792</td>
<td valign="middle" align="left">Rho GTPase-activating protein 32</td>
<td valign="middle" align="left">GO:0003824//catalytic activity</td>
<td valign="middle" align="left">Ko04013//MAPK signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">5.41</td>
</tr>
<tr>
<td valign="middle" align="left">MCOR_38315</td>
<td valign="middle" align="left">Caspase 7</td>
<td valign="middle" align="left">GO:0008233//peptidase activity</td>
<td valign="middle" align="left">Ko04668//TNF signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">4.76</td>
</tr>
<tr>
<td valign="middle" align="left">BGI_novel_G000059</td>
<td valign="middle" align="left">Poly [ADP-ribose] polymerase</td>
<td valign="middle" align="left">/</td>
<td valign="middle" align="left">Ko04210//Apoptosis</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">4.11</td>
</tr>
<tr>
<td valign="middle" align="left">MCOR_36479</td>
<td valign="middle" align="left">Toll-like receptor 1</td>
<td valign="middle" align="left">GO:0002376//immune system process</td>
<td valign="middle" align="left">Ko04620//Toll-like receptor signaling pathway</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" colspan="2" align="center">3.59</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_5">
<title>GO annotation and enrichment of DEGs</title>
<p>We classified the 7,845 DEGs with GO terms according to their functions as &#x201c;biological processes&#x201d;, &#x201c;molecular functions&#x201d; and &#x201c;cellular components&#x201d; (<xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>). In the five compared groups, the functional distribution annotated in GO was roughly the same. In the biological process category, the main annotations were cellular process, metabolic process, biological regulation, response to stimulus and signaling. DEGs involved in cellular components were primarily annotated to the intracellular, cellular anatomical entity, and protein-containing complex. In the molecular function category, DEGs were primarily annotated to binding, transporter activity, and catalytic activity. In addition, antioxidant activity, signal transducer activity, and immune system processes are also noted in <xref ref-type="supplementary-material" rid="SF5">
<bold>Supplementary Figure&#xa0;5</bold>
</xref>. The top twenty GO terms (<italic>Q</italic> value &#x2264; 0.05) from the DEG enrichment analysis of each group are shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>. The results showed that the most enriched GO terms in the CK vs. LM group were intracellular (GO:0043232) and organelle (GO:0043226). In the CK vs. LM_MPs1 group, intracellular organelles (GO:0043229) and non-membrane-bound organelles (GO:0043228) were the most enriched. In the CK vs. MPs1 group, the most enriched GO terms were protein binding (GO:0005515), protein-containing complex (GO:0032991), and intracellular (GO:0043232). In the MPs1 vs. LM_MPs1 group, the GO terms of positive regulation of cytokine production (GO:0001819), activation of innate immune response (GO:0002218), and activation of immune response (GO:0002253) were the most enriched. Details of all the GO enrichments are provided in <xref ref-type="supplementary-material" rid="ST3">
<bold>Supplementary Table&#xa0;3</bold>
</xref>. These transcripts may be involved in the response to damage to <italic>M. coruscus</italic> by MPs and <italic>P. lima</italic>. The results indicated that organelle damage may be influenced by <italic>P. lima</italic> and MP exposure.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Bubble diagram of top 20 GO terms enriched by DEGs in different pairwise comparisons of the digestive gland <bold>(A-D)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g004.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>KEGG enrichment analyses of DEGs</title>
<p>A KEGG enrichment analysis of DEGs is shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. Totals of 4, 10, and 11 pathways were significantly enriched in the LM, LM_MPs1, and MPs1 groups, respectively, compared with the CK group. The pathway enrichment analysis showed that the most significantly enriched pathways were mRNA surveillance pathway (ko03015), RNA transport (ko03013), protein processing in endoplasmic reticulum (ko04141), the TNF signaling pathway (ko04668) in the CK vs. LM group. In addition, the pathway enriched in lysosome (ko04142), RNA transport (ko03013), carbon metabolism (ko01200), mRNA surveillance pathway (ko03015), mTOR signaling pathway (ko04150), thyroid hormone signaling pathway (ko04919), and penicillin and cephalosporin biosynthesis (ko00311) in the CK vs. LM_MPs1 group. The pathway enriched in protein digestion and absorption (ko04974), thyroid hormone signaling pathway (ko04919), relaxin signaling pathway (ko04926), RNA transport (ko03013), ECM-receptor interaction (ko04512), complement and coagulation cascades (ko04610), lysosome (ko04142), and Fc gamma R-mediated phagocytosis (ko04666) in the CK vs. MPs1 group (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>; <xref ref-type="supplementary-material" rid="ST4">
<bold>Supplementary Table&#xa0;4</bold>
</xref>). The results indicated that <italic>M. coruscus</italic> has immune responses and signal change to <italic>P. lima</italic> and MP exposure.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Bubble diagram of top 20 KEGG pathways enrichment of DEGs in different pairwise comparisons of the digestive gland. <bold>(A)</bold>, CK vs. LM; <bold>(B)</bold>, CK vs. LM_MPs1; <bold>(C)</bold>, CK vs. MPs1.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g005.tif"/>
</fig>
</sec>
<sec id="s3_7">
<title>qPCR analysis</title>
<p>The six DEGs with high expression related to immunology, detoxification, and antioxidant ability genes were selected. Two of these genes were suppressed, and the others were induced. Glutathione-S-transferase (GST), heat shock 70 kDa protein (HSP70), toll-like receptor 2 (TLR2), and putative C1q domain containing protein (MgC1q16) were significantly up-regulated (<xref ref-type="supplementary-material" rid="ST5">
<bold>Supplementary Table&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Additionally, the detoxifying gene cytochrome P450 family 20 subfamily A (CYP20A) and antioxidant ability-related gene dual oxidase (DUOX) were down-regulated (<xref ref-type="supplementary-material" rid="ST5">
<bold>Supplementary Table&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). The results indicated that the majority of assayed genes showed almost the similar expression trends as those detected in the transcriptome data.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Heatmap of  DEGs verify in transcriptome sequencing and qPCR, GST, glutathione-S-transferase; HSP70, heat shock 70kDa protein; CYP20A, cytochrome P450 family 20 subfamily A; TLR2, toll-like receptor 2; MgC1q16, putative C1q domain containing protein; DUOX, dual oxidase. The color panel represents the changes in gene expression levels from down-regulated (green) to up-regulated (red).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The study of interactions between organisms and marine pollutants, such as MPs and HABs, is very significant to improving our understanding of the toxicity of those environmental pollutants. In previous studies, exposure to single MPs or <italic>P. lima</italic> induced physiological stress and immune responses in mussels (<xref ref-type="bibr" rid="B30">Qiu et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B34">Trestrail et&#xa0;al., 2021</xref>). However, the combined effects of these two environmental pollutants in the context of mussel exposure have not been reported. In our study, the results showed that single and combined exposures influenced oxidative responses and induced the immune response. To investigated the molecular mechanisms of the <italic>M. coruscus</italic> response to MPs and <italic>P. lima</italic> and to elucidate the difference in the mussel response of the single or combined group, the immune- and detoxification-related pathways and genes that were differentially expressed in each group were analyzed.</p>
<sec id="s4_1">
<title>Biological index and TEM analysis</title>
<p>Previous studies indicated that the CAT activity and the MDA concentration in the digestive gland of <italic>M. coruscus</italic> significantly increased after exposure to 10 &#xb5;m MPs (<xref ref-type="bibr" rid="B39">Wang et&#xa0;al., 2021</xref>). After being exposed to a high density of <italic>P. lima</italic> for 96&#xa0;h, the MDA content was increased significantly in the gill tissues of <italic>Perna viridis</italic> (<xref ref-type="bibr" rid="B12">He et&#xa0;al., 2019</xref>). However, in our study, the combined exposure to MPs and <italic>P. lima</italic> had a significant impact on the CAT activity in the kidney but had no significant impact on the gill and digestive gland. Compared to the single exposure, the MDA level was significantly increased in the combined exposure in the gills but had no significant impact on the digestive gland and kidney. We surmised that digestive gland are insensitive to oxidative reactions. CAT and SOD, the combined scavenger of active oxygen, are considered to be the first line of defense against oxygen free radicals (<xref ref-type="bibr" rid="B41">Wei et&#xa0;al., 2021</xref>). In the present study, all the single or combined exposures to MPs or <italic>P. lima</italic> significantly increased the CAT activity and induced the production of MDA in the tissues of the mussels compared to the control group, implying that those two pollutions caused oxidative damage. SOD activity showed an overall decreasing trend, indicating that MPs and <italic>P. lima</italic> inhibit SOD activity in the tissues (gills, digestive glands, and kidneys) of mussels. This result was consistent with a previous study showing that the SOD concentrations and SOD gene expression in blue mussels declined after exposure to microplastics (<xref ref-type="bibr" rid="B11">Hamm and Lenz, 2021</xref>). The results indicated that antioxidant enzymes may play an important role in reducing microplastic particles and <italic>P. lima</italic>-induced oxidative stress, and CAT was increased to scavenge ROS (<xref ref-type="bibr" rid="B34">Trestrail et&#xa0;al., 2021</xref>).</p>
<p>Interestingly, the enzyme activity results showed that the combined impact of MPs and <italic>P. lima</italic> was not significant in the digestive gland. However, from the cellular perspective, the TEM results showed that combined exposure caused greater damage to digestive gland cell structures than single exposure. According to (<xref ref-type="bibr" rid="B15">Javadov et&#xa0;al., 2018</xref>), mitochondrial swelling is due to damage to the membrane system, ion barrier function of the damaged membrane, and water influx into the mitochondrial matrix. Persistent swelling of mitochondria can eventually lead to apoptosis or necrosis, while mild swelling might be a normal physiological regulation. In the present study, the mitochondria were significantly swollen, and the cristae were shortened and dissolved in the combined group, but in the single treatment, the mitochondria swelled mildly, indicating that the combination of MPs and <italic>P. lima</italic> causes greater damage to the digestive gland cell structures of mussels.</p>
<p>The respiration and feeding rates of mussels are most affected by the movement of the valves. In our study, the respiration and feeding rates were decreased by the combined exposure of <italic>P. lima</italic> and MPs. Therefore, combined exposure to <italic>P. lima</italic> and MPs may affect the valve opening and closure of <italic>M. coruscus.</italic> It was reported that after exposure to high concentrations (21.6 mg L<sup>-1</sup>, 216 mg L<sup>-1</sup>, and 2160 mg L<sup>-1</sup>) of MPs (1-50 &#xb5;m), the respiration of mussels was impaired (<xref ref-type="bibr" rid="B32">Rist et&#xa0;al., 2016</xref>). The reduction in feeding rate means the less efficient absorption of energy and may affect the growth of individuals (<xref ref-type="bibr" rid="B27">Pedersen et&#xa0;al., 2020</xref>). Our results indicated that the energy budget of mussels may be damaged by <italic>P. lima</italic> and MP exposure. However, the combined exposure causes greater damage to <italic>M. coruscus.</italic>
</p>
</sec>
<sec id="s4_2">
<title>Expression analysis of immune-related genes</title>
<p>In our study, the results showed that all the single and combined treatment groups induced some immune response in <italic>M. coruscus</italic>. It indicated that the combined group had a greater impact on <italic>M. coruscus</italic> than the <italic>P. lima</italic> treatment group, but the MPs showed the greatest effect. There are many molecular motifs known as pathogen recognition receptors (PRRs) in mussels, and they can identify potential danger and activate intracellular signaling pathways. PRRs are generally made up of three subfamilies, which are C1q-containing domain proteins and lectins, toll-like receptors and peptidoglycan recognition receptors (PGRPs), and all serve as functional proteins in immune recognition in bivalves (<xref ref-type="bibr" rid="B2">Bouallegui, 2019</xref>).</p>
<p>The C1q protein, which contains the globular C1q (gC1q) domain, is involved in the innate immune response, and is found abundantly in the shell, and it participates in the shell formation. The C1q genes, such as MgC1q83 and MgC1q29, were significantly down-regulated in the digestive gland of the mussel <italic>Perna viridis</italic> following 6&#xa0;h of exposure to the dinoflagellate <italic>P. lima</italic> (<xref ref-type="bibr" rid="B8">Dou et&#xa0;al., 2020</xref>). Compared with theCK group, we found 6 differentially expressed transcripts, of which 5 DEGs (MgC1q3, MgC1q16, CTRP6, and C1qC) were up-regulated and MgC1q23 was down-regulated after <italic>P. lima</italic> exposure. In addition, the differential expression of C1q genes also appeared in the MPs1 group (3 up-regulated and 18 down-regulated DEGs) and the combined group (5 up-regulated and 21 down-regulated DEGs). A similar result was also reported in a previous study (<xref ref-type="bibr" rid="B6">Dom&#xed;nguez-P&#xe9;rez et&#xa0;al., 2021</xref>). We speculated that the reason for the differential expression of the C1q family gene may be due to their complex isoforms and distribution. A majority of C1q genes were significantly downregulated in single and combined exposure to MPs and <italic>P. lima</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>), suggesting that DSP toxins and MPs might have a co-negative influence on the complement system of <italic>M. coruscus.</italic>
</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Heatmap analysis of immune-related gene expression in different groups at the transcriptome level. <bold>(A)</bold>, C1q domain protein; <bold>(B)</bold>, Some immune-related genes; <bold>(C)</bold>, Toll-like receptor and TRAF3 genes. The color panel represents the changes in gene expression levels from down-regulated (green) to up-regulated (red).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g007.tif"/>
</fig>
<p>The C-type lectin (CLT), heat shock protein 70 (Hsp70), fibrinogen-related protein (FREP), and caprine genes are immune-related genes (<xref ref-type="bibr" rid="B38">Wang et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B28">Prego-Faraldo et&#xa0;al., 2018</xref>). In the present study, we found that the expression of some immune-related genes exhibited highly dynamic changes in response to MPs and <italic>P. lima</italic> (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). Compared with the CK group, IAP repeat-containing protein 2/3 (IAP2/3), heat shock 70 kDa protein 5 (HSP70-5), C-type lectin 9 (CLT-9), and immune-4 lectin-like receptor (ITR) were significantly up-regulated. Fibrinogen-related protein 12 (FREP-12), galectin 3 (Gal-3), and fibrinogen-like protein 1 (FREP-1) were significantly down-regulated in the single and combined groups. High expression changes were observed in the combined group in immune-related genes, such as fibrinogen-like protein 1 (FREP-1), C-type lectin superfamily 17 member A (CLT-17A), heat shock 70 kDa protein 12A (HSP70-12A), and galectin 3 (Gal-3). This corroborated that the combined exposure of MPs and <italic>P. lima</italic> may have an important effect on the mussel immune system.</p>
<p>Toll-like receptors are type I integral membrane glycoprotein proteins that recognize pathogen-associated molecular profiles (PAMPs). They play a key role in initiating and activating the innate immune system. In the present study, compared with the CK group, 7 TLR DEGs (6 upregulated and 1 downregulated) in the combined group, 6 TLR gene expression levels were significantly different (4 upregulated and 2 downregulated) in the MPs group, and only 1 TLR gene was significantly down-regulated in the <italic>P. lima</italic> group, which showed that TLR2 and TLR4 were all up-regulated among the TLR genes (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). TLR4 has a crucial function in response to viral and bacterial infection (<xref ref-type="bibr" rid="B21">Li et&#xa0;al., 2022</xref>), and we found that the TLR4 genes may have the same functions when exposed to MPs and toxic algae. The results were consistent with a previous study showing that under MP exposure, the expression of two toll-like receptors (TLR2 and TLR3) was up-regulated (<xref ref-type="bibr" rid="B10">Gardon et&#xa0;al., 2020</xref>). TLRs may play a key role in the induction of the immune response to <italic>P. lima</italic> and MPs. TRAF3 is a multifunctional immune molecule involved in regulating many immunological responses. In our present study, the expression of TRAF3 in <italic>M. coruscus</italic> was induced under MP and <italic>P. lima</italic> exposure (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>), and the same result was reported in <italic>Anodonta woodiana</italic> (<xref ref-type="bibr" rid="B31">Qu et&#xa0;al., 2017</xref>). The change in the expression of the TLR and TRAF3 genes shows that the severe impact of MPs and <italic>P. lima</italic> on the immune system of mussels.</p>
</sec>
<sec id="s4_3">
<title>Expression analysis of cell apoptosis-related genes</title>
<p>Cell death could be considered a fundamental response to immune and external stimulation stress (<xref ref-type="bibr" rid="B2">Bouallegui, 2019</xref>). Apoptosis is an important and multifunctional process that is often considered a signal for pollution monitoring. Caspases, which are related to the mitochondrial apoptotic pathway, are important molecular components of apoptotic cascades in <italic>M. galloprovincialis</italic> (<xref ref-type="bibr" rid="B9">Est&#xe9;vez-Calvar et&#xa0;al., 2013</xref>). In the present study, compared with the CK group, the expression levels of caspase-7 and caspase-6 were significantly up-regulated, caspase-2 and caspase-8 were significantly down-regulated in the single and combined groups (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). A previous study indicated that caspase-8 in molluscans could be triggered by many biological events, such as chemical exposure, temperature stress (<xref ref-type="bibr" rid="B45">Zhang et&#xa0;al., 2014</xref>), and pathogenic infection. In the present study, we obtained the opposite result. Caspase-7 is downstream of mitochondrial-initiated apoptosis, and its function is to commit the cell to apoptosis. The result was consistent with the finding that caspase-7 is upregulated by toxin exposure in oysters (<xref ref-type="bibr" rid="B25">Medhioub et&#xa0;al., 2013</xref>). In summary, the results indicated that <italic>P. lima</italic> and MP exposure induced cell apoptosis in <italic>M. coruscus</italic>.</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Heatmap analysis of apoptosis-related gene (caspase) expression in different groups. The small panel with a color gradient represents the changes in gene expression levels from down-regulated (green) to up-regulated (red).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g008.tif"/>
</fig>
</sec>
<sec id="s4_4">
<title>Antioxidant and detoxification-related gene expression analysis</title>
<p>In the present study, the detoxification and oxidative responses of <italic>M. coruscus</italic> were activated after exposure to single and combined MPs and <italic>P. lima.</italic> Transcriptome analysis indicated that antioxidant-related genes, such as dual oxidase, peroxiredoxin, and catalase, were significantly decreased, while peroxidase was significantly upregulated under single and combined MP and <italic>P. lima</italic> exposure. The result were consistant with the previous study that the expression of peroxidase in blue mussels (<italic>M. edulis</italic>) and <italic>M. galloprovincialis</italic> were increased after exposure to microplastics and <italic>P. lima</italic>, respectively (<xref ref-type="bibr" rid="B29">Prego-Faraldo et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B24">Magara et&#xa0;al., 2019</xref>). Glutathione S-transferase (GST), the cytochrome P450 family (CYP450), and ABC transporters play crucial roles in detoxification (<xref ref-type="bibr" rid="B8">Dou et&#xa0;al., 2020</xref>). In our study, the expression of GST, and ABC1 was significantly increased under single and combined exposures to MPs and <italic>P. lima</italic>, with the aim of alleviating the toxic effect of MPs and <italic>P. lima</italic> on bivalves (<xref ref-type="supplementary-material" rid="SF6">
<bold>Supplementary Figure&#xa0;6</bold>
</xref>). The results indicated that <italic>M. coruscus</italic> may mitigate the toxic effects of microplastics and <italic>P. lima</italic> through the expression of antioxidant and detoxification genes.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>In conclusion, the present study revealed that the toxic algae <italic>P. lima</italic> and MPs induced the immune response and influenced the physiological mechanisms of bivalve species. Single and combined exposures of <italic>P. lima</italic> and MPs changed the antioxidative enzyme activity and increased the level of lipid peroxidation, damaged the cell sub-microstructure of the digestive gland, and the combined treatment had a high toxic effect on <italic>M. coruscus</italic>. Regarding the transcriptome, mussels adopt a series of molecular compensatory responses to resist <italic>P. lima</italic> and MPs, and numerous immune pathways were induced. The MP, <italic>P. lima</italic> exposure mainly induced the expression of leucine-rich repeats and death domain-containing protein, caspase 7, serine/threonine-protein kinase LATS1/2, serine/threonine-protein kinase PRP4, TNF receptor-associated factor 3, E3 ubiquitin-protein ligase, calmodulin, glutathione S-transferase, and heat shock 70 kDa protein (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). This study sheds light on the effects of <italic>P. lima</italic> and MPs on mussels and their immune responses. It will improve our understanding of the future of the mussel aquaculture industry and coastal ecosystems.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Summary map of <italic>M. coruscus</italic> to MPs and <italic>P. lima</italic> alone and combination exposure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-09-1087667-g009.tif"/>
</fig>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The transcriptome raw data presented in the study are deposited in the SRA repository, accession number PRJNA904525.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>M-HF and X-WT contributed to experimental design, statistical analysis, and manuscript preparation. X-WT, RY, C-YX, and Y-KX carried out the experiments. M-HF, ZY, and X-LZ contributed to experiment preparation and data analysis. J-XW, X-JY, ZL, ZY, and M-HF contributed to revision of the manuscript. M-HF, X-JY contributed to funding acquisition. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the Zhejiang Provincial Natural Science Foundation of China (LY20D060006), National College Students&#x2019; innovation and entrepreneurship training program (202010340005), and National Natural Science Foundation of China, key international cooperation and exchange project (42020104009).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fmars.2022.1087667/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2022.1087667/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Images of microplastics (MPs) in the fluorescence microscope.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>The number of sequence of different sizes.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.tif" id="SF3" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Venn diagram of gene number in different treatment.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_4.tif" id="SF4" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;4</label>
<caption>
<p>Venny maps of the DEGs in <italic>M. coruscus</italic> after MP and <italic>P. lima</italic> exposure.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_5.tif" id="SF5" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;5</label>
<caption>
<p>The GO functional classification of DEGs in <italic>M. coruscus</italic> after MP and <italic>P. lima</italic> exposure.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_6.tif" id="SF6" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;6</label>
<caption>
<p>Heatmap analysis of antioxidant and detoxification-related gene expression analysis in different groups. CK: control; LM: <italic>P. lima</italic> exposure; LM_MPs1: <italic>P. lima</italic> and 0.2 mg/L MPs exposure; MPs1: 0.2 mg/L MPs exposure. The small panel with a color gradient represents the changes in gene expression levels from down-regulated (green) to up-regulated (red).</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="ST1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="ST2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.docx" id="ST3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_4.docx" id="ST4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_5.docx" id="ST5" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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