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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.2025.1659674</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>Organ-specific bacterial communities of the soft-shell clam <italic>Mya arenaria</italic> (Linnaeus, 1758) and adjacent sediments in the Black Sea</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Menabit</surname>
<given-names>Selma</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Lavin</surname>
<given-names>Paris</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Begun</surname>
<given-names>Tatiana</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Teac&#x103;</surname>
<given-names>Adrian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Mure&#x15f;an</surname>
<given-names>Mihaela</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Purcarea</surname>
<given-names>Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Department of Biology-Ecology, National Institute for Research and Development on Marine Geology and Geoecology-GeoEcoMar</institution>, <addr-line>Bucharest,</addr-line>,&#xa0;<country>Romania</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Microbiology, Institute of Biology Bucharest of the Romanian Academy</institution>, <addr-line>Bucharest</addr-line>,&#xa0;<country>Romania</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Facultad de Ciencias del Mar y Recursos Biol&#xf3;gicos, Departamento de Biotecnolog&#xed;a, Universidad de Antofagasta</institution>, <addr-line>Antofagasta</addr-line>,&#xa0;<country>Chile</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Centro de Investigacion en Inmunologia y Biotecnologia Biomedica de Antofagasta (CIIBBA), Universidad de Antofagasta</institution>, <addr-line>Antofagasta</addr-line>,&#xa0;<country>Chile</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1281751/overview">Valerio Mazzella</ext-link>, Anton Dohrn Zoological Station Naples, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Aadil H. Bhat, University of California, Los Angeles, United States</p>
<p>Esam Almuhaideb, King Saud University, Saudi Arabia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Cristina Purcarea, <email xlink:href="mailto:cristina.purcarea@ibiol.ro">cristina.purcarea@ibiol.ro</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1659674</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Menabit, Lavin, Begun, Teac&#x103;, Mure&#x15f;an and Purcarea.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Menabit, Lavin, Begun, Teac&#x103;, Mure&#x15f;an and Purcarea</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>Bacteria colonizing bivalves play a critical role in host health by supporting digestion, nutrient cycling, and immune defense. While the microbiomes of marine bivalves have been studied globally, their diversity and functional roles across specific organs remain underexplored. This study investigates the structural and predicted functional diversity of bacterial communities associated with different organs (siphon, gills, and stomach) of the marine bivalve <italic>Mya arenaria</italic> Linnaeus, 1758, along with the surrounding sediments from the Romanian Black Sea coast, using 16S rRNA gene sequencing with Illumina technology. Bacterial communities within the bivalve differed markedly from those in the sediments and varied across organs. Sediment samples exhibited greater taxonomic diversity (19 phyla) than bivalve organs (14&#x2013;15 phyla). Verrucomicrobiota dominated the siphon and gills, Spirochaetota were most abundant in the stomach, and Desulfobacterota predominated in sediments. Nitrate-reducing bacteria, particularly those from the genus <italic>Persicirhabdus</italic>, were prevalent in all organs and may contribute to host resilience under hypoxic conditions. The presence of <italic>Sulfurimonas</italic> in the stomach suggests a possible nutritional association, while halotolerant <italic>Woeseia</italic> species identified in sediments likely play a role in environmental nutrient cycling. Predictive functional profiling indicated potential bacterial involvement in various metabolic processes, including carbohydrate, amino acid, and energy metabolism. Additionally, pathways related to xenobiotic degradation and antibiotic biosynthesis were inferred across all sample types, indicating a potential capacity for broader ecological and possibly biotechnological roles. However, these functions were inferred from 16S rRNA data and require further validation through metagenomic or transcriptomic approaches. To our knowledge, this is the first detailed analysis of microbiome variability across different organs of <italic>M. arenaria</italic>, offering new insights into host&#x2013;microbe interactions in this species.</p>
</abstract>
<kwd-group>
<kwd>invertebrates&#x2019; bacteria</kwd>
<kwd>
<italic>Mya arenaria</italic> microbiome</kwd>
<kwd>Black Sea bivalve</kwd>
<kwd>Illumina sequencing</kwd>
<kwd>16S rRNA gene</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="130"/>
<page-count count="17"/>
<word-count count="7571"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Microbial Symbioses</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Microorganisms are widespread and essential components in marine ecosystems, establishing diverse and often intimate associations with a wide range of animals (<xref ref-type="bibr" rid="B28">Fraune and Bosch, 2010</xref>; <xref ref-type="bibr" rid="B50">Krishnaveni et&#xa0;al., 2025</xref>). Marine benthic invertebrates, like all multicellular organisms, engage in complex interactions with a diverse array of microbes, including bacteria (<xref ref-type="bibr" rid="B47">Knowlton and Rohwer, 2003</xref>; <xref ref-type="bibr" rid="B61">Li et&#xa0;al., 2023a</xref>, <xref ref-type="bibr" rid="B62">b</xref>), and these associations can take the form of mutualism, commensalism, or parasitism. Bacteia colonizing marine invertebrates play crucial roles in maintaining host health, supplying essential nutrients, and offering protection against pathogens. Moreover, they contribute significantly to the overall functioning and adaptive responses of hosts to environmental change (<xref ref-type="bibr" rid="B8">Bourne et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B87">Pita et&#xa0;al., 2018</xref>). Hosts may possess species-specific bacterial communities distinct from their surrounding environment, which can be acquired vertically, from conspecifics, or from the environment (<xref ref-type="bibr" rid="B49">Koskella et&#xa0;al., 2017</xref>). The degree of specificity of these communities varies among host species, with some exhibiting only a few highly specific symbionts, whereas others share bacteria with the surrounding environment (<xref ref-type="bibr" rid="B59">Lemieux-Labont&#xe9; et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B58">Lemay et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B94">Roth&#x2010;Schulze et&#xa0;al., 2018</xref>).</p>
<p>Bivalves harbor a wide variety of microorganisms, including protozoa, fungi, viruses, and bacteria (<xref ref-type="bibr" rid="B91">Rey-Campos et&#xa0;al., 2022</xref>), with bacteria being the most extensively studied group (<xref ref-type="bibr" rid="B69">Masanja et&#xa0;al., 2023</xref>). The microbiome of bivalves plays a critical role in the host health and disease, with the bacterial component involved in processes such as digestion, nutrient cycling, and immune defense (<xref ref-type="bibr" rid="B85">Pierce and Ward, 2018</xref>; <xref ref-type="bibr" rid="B118">Timmins-Schiffman et&#xa0;al., 2021</xref>). Certain bivalve-colonizing bacteria have been found to produce antimicrobial compounds that help protect the host from pathogens (<xref ref-type="bibr" rid="B20">Destoumieux-Garz&#xf3;n et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B4">Balbi et&#xa0;al., 2021</xref>). In addition, some species belonging to the families <italic>Phyllobacteriaceae</italic> and <italic>Hyphomicrobiaceae</italic> (<italic>Pseudomonadota</italic>) and <italic>Flavobacteriaceae</italic> (Bacteroidota) are associated with enhanced disease resistance in bivalves (<xref ref-type="bibr" rid="B23">Dub&#xe9; et&#xa0;al., 2019</xref>). These microorganisms produce enzymes that break down complex carbohydrates and contribute to the immune response of their host (<xref ref-type="bibr" rid="B74">Moruf et&#xa0;al., 2020</xref>).</p>
<p>The structure of microbial communities colonizing marine invertebrates, including bivalves, is highly variable, with different body regions harboring distinct microbial communities (<xref ref-type="bibr" rid="B69">Masanja et&#xa0;al., 2023</xref>). For instance, the bacterial composition of <italic>Eriocheir sinensis</italic> (Chinese crab) was dominated by <italic>Tenericutes</italic> and <italic>Pseudomonadota</italic> in the gut, whereas <italic>Actinobacteria</italic>, <italic>Pseudomonadota</italic>, and <italic>Bacteroidetes</italic> predominated in the gill samples (<xref ref-type="bibr" rid="B129">Zhang et&#xa0;al., 2016</xref>). Similarly, <italic>Mytilus galloprovincialis</italic> possesses a microbiota with tissue-specific variations: where the digestive gland is characterized by <italic>Ruminococcaceae</italic> and <italic>Lachnospiraceae</italic>, the stomach is dominated by <italic>Flavobacteriaceae</italic>, and the foot by <italic>Spirochaetaceae</italic> representatives (<xref ref-type="bibr" rid="B77">Musella et&#xa0;al., 2020</xref>).</p>
<p>The Boreal-Atlantic bivalve <italic>Mya arenaria</italic> Linnaeus, 1758, is native to the North Atlantic, off the coasts of America and Canada (<xref ref-type="bibr" rid="B109">Strasser, 1998</xref>). Invasive in Europe, it has been reported in the Barents Sea (<xref ref-type="bibr" rid="B30">Galkin, 1998</xref>), White (<xref ref-type="bibr" rid="B96">Russanova, 1963</xref>), Baltic (<xref ref-type="bibr" rid="B51">Kube, 1996</xref>), North (<xref ref-type="bibr" rid="B109">Strasser, 1998</xref>), Wadden (<xref ref-type="bibr" rid="B104">Smidt, 1951</xref>), Mediterranean seas (<xref ref-type="bibr" rid="B107">Stora et&#xa0;al., 1995</xref>), and along the European coasts of the Atlantic Ocean (<xref ref-type="bibr" rid="B17">Conde et&#xa0;al., 2011</xref>). In the Black Sea, it was first recorded in 1966 near Odessa (<xref ref-type="bibr" rid="B6">Beshevli and Kolyagin, 1967</xref>; <xref ref-type="bibr" rid="B37">Gomoiu and Porumb, 1969</xref>), later identified near Berezan Island (<xref ref-type="bibr" rid="B128">Zambriborshch et&#xa0;al., 1968</xref>), and within a relatively short time became a common species in the northwestern part of the basin. Considering the age of the identified specimens, as well as the time required for larval development and reaching sexual maturity, <xref ref-type="bibr" rid="B128">Zambriborshch et&#xa0;al. (1968)</xref> suggested that the species entered the Black Sea in the early 50s. In the Romanian Black Sea region, this species was first reported in the late 1960s, with a limited number of specimens identified near Zaton and Tomis Harbor (Constan&#x163;a) (<xref ref-type="bibr" rid="B37">Gomoiu and Porumb, 1969</xref>), and was later observed on the Romanian continental shelf at depths of up to 35 m (<xref ref-type="bibr" rid="B103">Skolka and Gomoiu, 2004</xref>).</p>
<p>This bivalve thrives in the organic-rich muds of the Black Sea, particularly in sedimentary habitats influenced by inputs from the Danube River, which carry high bacterial loads, including potential pathogens (<xref ref-type="bibr" rid="B27">Ene et&#xa0;al., 2025</xref>). Although not currently consumed in Romania, <italic>M. arenaria</italic> is recognized for its edible potential and is successfully harvested and farmed in other regions of the world (<xref ref-type="bibr" rid="B123">Wheaton et&#xa0;al., 2008</xref>). In the Black Sea, it serves as prey for several commercially important benthic fish species, potentially raising public health concerns. Despite exposure to bacterial pathogens, the species appears to remain unaffected, likely due to immune adaptations that enable tolerance to challenging environmental conditions such as hypoxia, rapid fluctuations and high organic pollution. Some studies have shown that the soft-shell clam hosts a distinct microbiome, suggesting a possible symbiotic relationship between the clam and its associated microorganisms (<xref ref-type="bibr" rid="B13">Cabelli and Heffernan, 1970</xref>; <xref ref-type="bibr" rid="B64">Liu et&#xa0;al., 2020</xref>).</p>
<p>While extensive research has been conducted on bacterial communities colonizing benthic organisms in marine environments (<xref ref-type="bibr" rid="B34">Gilbertson et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Fuirst et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B62">Li et&#xa0;al., 2023b</xref>; <xref ref-type="bibr" rid="B63">Liu et&#xa0;al., 2023</xref>), including bivalves (<xref ref-type="bibr" rid="B77">Musella et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B2">Akter et&#xa0;al., 2023</xref>), only a few studies have addressed the microbiome of these invertebrates from the Black Sea, notably in the bivalves <italic>Mytilaster lineatus</italic> (<xref ref-type="bibr" rid="B82">Onishchenko and Kiprianova, 2006</xref>) and <italic>Donax trunculus</italic> (<xref ref-type="bibr" rid="B44">Ibryamova et&#xa0;al., 2022</xref>), as well as the tube-dwelling polychaete <italic>Melinna palmata</italic> (<xref ref-type="bibr" rid="B71">Menabit et&#xa0;al., 2024</xref>).</p>
<p>Microbial ecology studies carried out in the Black Sea ecosystem have predominantly focused on bacterial communities from seawater (<xref ref-type="bibr" rid="B46">J&#xf8;rgensen et&#xa0;al., 1991</xref>; <xref ref-type="bibr" rid="B105">Sorokin et&#xa0;al., 1995</xref>; <xref ref-type="bibr" rid="B36">Glaubitz et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B11">Bryukhanov et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B95">Ruginescu et&#xa0;al., 2022</xref>) and sediments (<xref ref-type="bibr" rid="B100">Schulz et&#xa0;al., 1999</xref>; <xref ref-type="bibr" rid="B117">Thamdrup et&#xa0;al., 2000</xref>; <xref ref-type="bibr" rid="B57">Leloup et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B97">Sch&#xe4;fer et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B18">Coolen and Shtereva, 2009</xref>; <xref ref-type="bibr" rid="B98">Schippers et&#xa0;al., 2012</xref>), with limited comparison between their diversity and that of invertebrate-associated communities (<xref ref-type="bibr" rid="B82">Onishchenko and Kiprianova, 2006</xref>; <xref ref-type="bibr" rid="B71">Menabit et&#xa0;al., 2024</xref>).</p>
<p>In this context, the present study aims to assess the structural and functional bacterial diversity associated with the marine bivalve <italic>M. arenaria</italic>, focusing on organ-specific (siphon, gills, and stomach) microbiomes and their distinctions from surrounding sediment communities using a high-throughput Illumina 16S rRNA gene sequencing approach. The study was based on the hypothesis that <italic>M. arenaria</italic> harbors a microbiome that facilitates its adaptation to stressful estuarine environments and organic pollution, including bacterial contaminants. Rather than using classical microbiological methods, we applied molecular techniques that enabled the identification of bacterial genes potentially involved in diverse metabolic functions, including antibiotic resistance. This investigation represents the first characterization of microbiome variability across different organs of the bivalve <italic>M. arenaria.</italic>
</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study area and sample collection and preparation</title>
<p>The north-western Black Sea covers 127,000 km<sup>2</sup>, accounting for 94% of the shelf&#x2019;s total area, and approximately 1.2% of the total Black Sea water volume. This region receives significant freshwater input from the Danube, Dniester, Dnieper, and Southern Bug rivers with the Danube being the largest and most important water and sediment supplier, strongly influencing sedimentation in the north-western part of the basin (<xref ref-type="bibr" rid="B84">Panin and Jipa, 2002</xref>).</p>
<p>Sediment samples were collected during a one-time field campaign in July 2020 from two stations along the Romanian coast of the Black Sea (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), located 36.3 km apart, at water depths of 19.0 m (P8-20) (44&#xb0;47,920&#x2019;N; 29&#xb0;37,850&#x2019;E) and 27.0 m (CT-02) (44&#xb0;17,420&#x2019;N; 28&#xb0;72,310&#x2019;E), respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Station P8&#x2013;20 is located within the area influenced by Danube freshwater (<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>Map of the Romanian sector of the Black Sea showing the study area and sampling stations CT-02 and P08-20.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g001.tif">
<alt-text content-type="machine-generated">Map of the Black Sea region highlighting Romania's coastline, with locations Sf. Gheorghe, Constan&#x21b;a, and other landmarks. Includes labeled areas like ROSCI0066 and ROSCI0413. Inset shows the broader Black Sea with study area marked.</alt-text>
</graphic>
</fig>
<p>Sediments were collected using a Van Veen grab sampler with a surface area of 0.135 m<sup>2</sup> (<xref ref-type="bibr" rid="B119">Todorova and Konsulova, 2005</xref>). The sedimentary material containing <italic>M. arenaria</italic> specimens from both sites consisted of mud, which derived from alluvial deposits composed of silt and clay particles. To evaluate the microbial communities, two sediment subsamples and two specimens of <italic>M. arenaria</italic> were collected from each station. The low number of samples was due to limitations related to sampling constraints. Typically, only one or two samples fall within habitats characteristic of this species, with no more than a few specimens captured per sample. After removing the sediment fraction that had been in contact with the sampling equipment to minimize contamination, the remaining sediment was transferred into sterile containers and stored at &#x2212;20&#xb0;C until further processing.</p>
<p>For bivalve DNA extraction, each selected specimen was washed with sterile water and preserved in 200 &#x3bc;l of Tris-EDTA buffer (pH 8.0) at &#x2212;20&#xb0;C (<xref ref-type="bibr" rid="B93">Ross et&#xa0;al., 1990</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Physicochemical parameters</title>
<p>
<italic>In situ</italic> measurements of temperature, salinity, dissolved oxygen (DO) concentration, and pH in the bottom water level above the seabed were conducted using an EXO2 multi-parameter probe (YSI Incorporated, Yellow Springs, USA).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>DNA extraction, 16S rRNA gene sequencing and sequence analysis</title>
<p>Genomic DNA was extracted from two <italic>M. arenaria</italic> individuals and two sediment samples from each sampling site. <italic>Mya</italic> specimens were rinsed with sterile water, dissected under aseptic conditions. DNA was isolated from the siphon, gills, and stomach of each individual using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany), following an optimized protocol that included an initial cell disruption step (<xref ref-type="bibr" rid="B43">Iancu et&#xa0;al., 2015</xref>). Tissue samples were resuspended in Tris-EDTA buffer (pH 8) and homogenized at 20&#xb0;C for 12 min in a SpeedMill PLUS homogenizer at 50 Hz (Analytik Jena, Jena, Germany), with 5 ZR BashingBead 0.2 mm lysis matrix (Zymo Research, Irvine, CA, USA), and subsequently processed according to the manufacturer&#x2019;s protocol. For sediment samples, DNA was isolated using the DNeasy PowerSoil Pro Kit (Qiagen, Hilden, Germany).The V3&#x2013;V4 hypervariable regions of the 16S rRNA gene were amplified using the primer pair 341F/805R (<xref ref-type="bibr" rid="B113">Takahashi et&#xa0;al., 2014</xref>) and sequenced on an Illumina MiSeq platform with 300 bp paired-end reads (Macrogen, Seoul, South Korea).</p>
<p>The resulting DNA sequences were processed using the DADA2 package (v1.8) implemented in R (v4.0.2) (<xref ref-type="bibr" rid="B15">Callahan et&#xa0;al., 2016</xref>). After removing the forward and reverse primer sequences with cutadapt (v4.2.2) (<xref ref-type="bibr" rid="B67">Martin, 2011</xref>), the reads were trimmed and filtered (<xref ref-type="bibr" rid="B65">Lu et&#xa0;al., 2023</xref>). Amplicon sequence variants (ASVs) were inferred from the de-replicated sequences, and chimeras were removed using the consensus assignment method (<xref ref-type="bibr" rid="B65">Lu et&#xa0;al., 2023</xref>). Taxonomic identification of ASVs was performed using the SILVA v138 16S rRNA database (silva.nr. v138). Analyses were conducted using MicrobiomeAnalyst 2.0 (<xref ref-type="bibr" rid="B65">Lu et&#xa0;al., 2023</xref>). Standard data filtering procedures were applied to improve the quality of downstream analyses. A low-count filter was implemented using a minimum threshold of four reads, retaining only those features present in at least 20% of the samples (prevalence filter). Additionally, a low-variance filter was applied to remove features showing minimal variation across experimental conditions, based on the interquartile range (IQR). These filters aimed to eliminate low-abundance and noninformative features, which are often the result of sequencing noise or background contamination.</p>
<p>The 16S rRNA gene sequences of bacteria colonizing <italic>M. arenaria</italic> and associated sediments were deposited in the NCBI Sequence Read Archive (SRA) under the BioProject accession number PRJNA922888.</p>
<p>Pattern search analysis based on Spearman correlation (<xref ref-type="bibr" rid="B56">Legendre and Legendre, 2012</xref>) was performed to assess whether specific taxa from particular organs and surrounding sediments were consistently associated, thereby enabling the identification of statistically significant relationships between data matrices.</p>
<p>The estimation of potential microbial functions was conducted by assessing gene abundances according to KEGG metabolism, using the TAx4Fun2 program (<xref ref-type="bibr" rid="B65">Lu et&#xa0;al., 2023</xref>).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analyses</title>
<p>Alpha and beta diversity was calculated using the pyloseq package (<xref ref-type="bibr" rid="B70">McMurdie and Holmes, 2013</xref>). Alpha diversity of ASVs was assessed using the Chao1, Shannon, Evenness, and Fisher indices. Bray&#x2013;Curtis dissimilarity was used to assess beta diversity by comparing diversity between samples and microbial communities. The ordination-based method, Principal Coordinate Analysis (PCoA), was used to visualize the matrix in a 2-D plot, where each point represents the entire microbiome of a single sample. The statistical significance (p &lt;0.05) of the clustering patterns in ordination plots was evaluated using permutational ANOVA (PERMANOVA) and analysis of group similarities (ANOSIM). Statistical analyses were performed using MicrobiomeAnalyst 2.0 (<xref ref-type="bibr" rid="B65">Lu et&#xa0;al., 2023</xref>). To compare alpha diversity indices (Chao1, Shannon, and Fisher) among groups (organs and sediments), the non-parametric Kruskal&#x2013;Wallis test was applied, as it does not require assumptions of normality or homogeneity of variances. When significant differences were found (<italic>p &lt;</italic>0.05), <italic>post hoc</italic> multiple comparisons were performed using Dunn&#x2019;s test with Bonferroni correction to control for Type I error. All analyses were conducted in R (v4.5.1) using the FSA and PMCMRplus packages (<xref ref-type="bibr" rid="B66">Mangiafico, 2015</xref>; <xref ref-type="bibr" rid="B88">Pohlert, 2014</xref>).</p>
<p>LDA Effect Size (LEfSe) was based on the non-parametric Kruskal&#x2013;Wallis test, which identifies significant differences in terms of taxa abundance across the analyzed sample types and ranks taxa according to the Linear Discriminant Analysis (LDA) (<xref ref-type="bibr" rid="B101">Segata et&#xa0;al., 2011</xref>). The Student&#x2019;s <italic>t</italic>-test was employed to statistically compare the mean gene abundance across samples (<xref ref-type="bibr" rid="B72">Mishra et&#xa0;al., 2019</xref>).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Environmental characteristics of <italic>Mya arenaria</italic> habitat</title>
<p>
<italic>In situ</italic> measurements of water parameters&#x2014;temperature, salinity, dissolved oxygen (DO), and pH&#x2014;at the two sampling stations (P8&#x2013;20 and CT-02) revealed minimal variation in temperature and salinity, ranging from 11.01&#xb0;C to 11.96&#xb0;C and 17.92 PSU to 18.26 PSU, respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). A slightly alkaline pH was recorded at both sites, with an average of 8.09 &#xb1; 0.15 across the two stations (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Meanwhile, a lower DO value (4.2 mg L<sup>&#x2212;1</sup>) was recorded at the shallower P8&#x2013;20 station, located under the Danube Delta influence area as compared to CT-02 (6.1 mg L<sup>&#x2212;1</sup>) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). These data suggest an overall similar physicochemical environment of the bivalve habitat across both sampling sites, regardless of water depth.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Physicochemical parameters of seawater from the sampling sites.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Station</th>
<th valign="middle" align="center">Temperature (&#xb0;C)</th>
<th valign="middle" align="center">Salinity (PSU)</th>
<th valign="middle" align="center">DO (mg L<sup>&#x2212;1</sup>)</th>
<th valign="middle" align="center">pH</th>
<th valign="middle" align="center">Depth (m)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">P8-20</td>
<td valign="middle" align="center">11.96</td>
<td valign="middle" align="center">17.92</td>
<td valign="middle" align="center">4.2</td>
<td valign="middle" align="center">7.99</td>
<td valign="middle" align="center">19</td>
</tr>
<tr>
<td valign="middle" align="center">CT-02</td>
<td valign="middle" align="center">11.01</td>
<td valign="middle" align="center">18.26</td>
<td valign="middle" align="center">6.1</td>
<td valign="middle" align="center">8.2</td>
<td valign="middle" align="center">27</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Bacterial diversity colonizing the organs of <italic>M. arenaria</italic> and sediments</title>
<p>To assess the microbial diversity and composition of <italic>M. arenaria</italic> organs and the surrounding environment, 14 DNA samples obtained from the siphon (4), gills (4), stomach (2), and sediments (4) were analyzed, based on sequencing quality of their corresponding 16S rRNA gene amplicons (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Number of ASVs and alpha diversity indices of bacterial communities from <italic>M. arenaria</italic> organs and associated sediments, with statistical comparisons (Kruskal&#x2013;Wallis test, <italic>p</italic>-values).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Station</th>
<th valign="middle" rowspan="2" align="left">Sample</th>
<th valign="middle" rowspan="2" align="left">Sample type</th>
<th valign="middle" rowspan="2" align="left">Total sequence</th>
<th valign="middle" rowspan="2" align="center">Normalized sequences</th>
<th valign="middle" rowspan="2" align="left">ASV (filtered)</th>
<th valign="middle" colspan="3" align="left">Alpha Diversity index</th>
</tr>
<tr>
<th valign="middle" align="left">Chao1</th>
<th valign="middle" align="left">Shannon</th>
<th valign="middle" align="left">Fisher</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">P8-20</td>
<td valign="middle" align="left">MA1</td>
<td valign="middle" rowspan="4" align="left">siphon</td>
<td valign="middle" align="right">50,197</td>
<td valign="middle" align="center">24,921</td>
<td valign="middle" align="left">133</td>
<td valign="middle" align="left">133</td>
<td valign="middle" align="left">3.78</td>
<td valign="middle" align="left">19.51</td>
</tr>
<tr>
<td valign="middle" align="left">MA4</td>
<td valign="middle" align="right">40,791</td>
<td valign="middle" align="center">26,776</td>
<td valign="middle" align="left">167</td>
<td valign="middle" align="left">167</td>
<td valign="middle" align="left">4.62</td>
<td valign="middle" align="left">24.54</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">CT-02</td>
<td valign="middle" align="left">MA9</td>
<td valign="middle" align="right">74,280</td>
<td valign="middle" align="center">58,169</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">57</td>
<td valign="middle" align="left">2.99</td>
<td valign="middle" align="left">6.40</td>
</tr>
<tr>
<td valign="middle" align="left">MA12</td>
<td valign="middle" align="right">5,321</td>
<td valign="middle" align="center">2,811</td>
<td valign="middle" align="left">41</td>
<td valign="middle" align="left">41</td>
<td valign="middle" align="left">3.60</td>
<td valign="middle" align="left">7.20</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">P8-20</td>
<td valign="middle" align="left">MA2</td>
<td valign="middle" rowspan="4" align="left">gills</td>
<td valign="middle" align="right">72,457</td>
<td valign="middle" align="center">61,742</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">3.30</td>
<td valign="middle" align="left">8.44</td>
</tr>
<tr>
<td valign="middle" align="left">MA5</td>
<td valign="middle" align="right">94,449</td>
<td valign="middle" align="center">88,153</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">2.57</td>
<td valign="middle" align="left">6.29</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">CT-02</td>
<td valign="middle" align="left">MA10</td>
<td valign="middle" align="right">72,791</td>
<td valign="middle" align="center">58,659</td>
<td valign="middle" align="left">150</td>
<td valign="middle" align="left">150</td>
<td valign="middle" align="left">3.27</td>
<td valign="middle" align="left">18.77</td>
</tr>
<tr>
<td valign="middle" align="left">MA13</td>
<td valign="middle" align="right">88,868</td>
<td valign="middle" align="center">54,475</td>
<td valign="middle" align="left">216</td>
<td valign="middle" align="left">216</td>
<td valign="middle" align="left">4.53</td>
<td valign="middle" align="left">29.13</td>
</tr>
<tr>
<td valign="middle" align="left">P8-20</td>
<td valign="middle" align="left">MA6</td>
<td valign="middle" rowspan="2" align="left">stomach</td>
<td valign="middle" align="right">72,027</td>
<td valign="middle" align="center">37,723</td>
<td valign="middle" align="left">70</td>
<td valign="middle" align="left">70</td>
<td valign="middle" align="left">3.73</td>
<td valign="middle" align="left">8.37</td>
</tr>
<tr>
<td valign="middle" align="left">CT-02</td>
<td valign="middle" align="left">MA11</td>
<td valign="middle" align="right">96,100</td>
<td valign="middle" align="center">50,067</td>
<td valign="middle" align="left">181</td>
<td valign="middle" align="left">181</td>
<td valign="middle" align="left">4.16</td>
<td valign="middle" align="left">24.26</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">P8-20</td>
<td valign="middle" align="left">MA7</td>
<td valign="middle" rowspan="4" align="left">sediments</td>
<td valign="middle" align="right">102,177</td>
<td valign="middle" align="center">50,820</td>
<td valign="middle" align="left">336</td>
<td valign="middle" align="left">336</td>
<td valign="middle" align="left">5.55</td>
<td valign="middle" align="left">51.75</td>
</tr>
<tr>
<td valign="middle" align="left">MA8</td>
<td valign="middle" align="right">106,297</td>
<td valign="middle" align="center">57,978</td>
<td valign="middle" align="left">380</td>
<td valign="middle" align="left">380</td>
<td valign="middle" align="left">5.71</td>
<td valign="middle" align="left">58.99</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="left">CT-02</td>
<td valign="middle" align="left">MA15</td>
<td valign="middle" align="right">90,801</td>
<td valign="middle" align="center">48,422</td>
<td valign="middle" align="left">363</td>
<td valign="middle" align="left">363</td>
<td valign="middle" align="left">5.70</td>
<td valign="middle" align="left">57.26</td>
</tr>
<tr>
<td valign="middle" align="left">MA16</td>
<td valign="middle" align="right">107,276</td>
<td valign="middle" align="center">63,640</td>
<td valign="middle" align="left">401</td>
<td valign="middle" align="left">401</td>
<td valign="middle" align="left">5.76</td>
<td valign="middle" align="left">61.30</td>
</tr>
<tr>
<td valign="middle" colspan="6" align="left">siphon vs gills vs stomach vs sediments</td>
<td valign="middle" align="left">
<italic>p</italic> =0.0136</td>
<td valign="middle" align="left">
<italic>p</italic>=0.0105</td>
<td valign="middle" align="left">
<italic>p</italic>=0.0078</td>
</tr>
<tr>
<td valign="middle" colspan="6" align="left">ANOVA Degrees of freedom (df)<break/>Kruskal-Wallis chi-squared</td>
<td valign="middle" align="left">df=3<break/>H=10.68</td>
<td valign="middle" align="left">df=3<break/>H=11.23</td>
<td valign="middle" align="left">df=3<break/>H=11.89</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Illumina sequencing of the 16S rRNA gene revealed a total of 1,073,832 DNA sequences and 684,356 normalized sequences, corresponding to 2,630 unique bacterial amplicon sequence variants (ASVs), ranging from 401 (sample MA16) to 41 (sample MA12), with an average of 187.9 ASVs.</p>
<p>Rarefaction curves for all analyzed samples from the P8&#x2013;20 and CT-02 stations indicated a fully characterized bacterial community, capturing a representative segment of the microbial diversity within bivalve organs and sediments (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>).</p>
<p>Alpha diversity analysis based on the Shannon index revealed significant differences between the tissue samples and sediments (p=0.0105; [ANOVA] df-value=3) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Sediment-associated bacterial communities from both locations exhibited high microbial diversity, with Shannon values ranging from 5.55 to 5.76, and a mean of 5.68 &#xb1; 0.09 (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). In host tissues, the Shannon diversity index for bacterial communities ranged from 2.99 to 4.62 in the siphon (mean: 3.75 &#xb1; 0.67) and from 2.57 to 4.53 in the gills (mean: 3.41 &#xb1; 0.81), while the stomach-associated bacterial communities ranged from 3.73 to 4.53, with a mean of 3.94 &#xb1; 0.3 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Although the highest mean was observed in the stomach, followed by the siphon and then the gills, the differences were not statistically significant (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The corresponding Chao1, Shannon, and Fisher diversity metrics reflected a similar trend (Chao1 p=0.0136; [ANOVA] df-value=3; Shannon p=0.0105; [ANOVA] df-value=3; Fisher p=0.0078; [ANOVA] df-value=3), indicating lower diversity in tissue-colonizing bacteria compared to surrounding sediments (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S1, S2</bold>
</xref>). In contrast, no statistically significant differences were observed between these communities across depths ([t-test] statistic=&#x2212;0.375, p=0.714) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Alpha diversity of bacterial communities from <italic>M. arenaria</italic> organs and sediments based on Shannon index. <bold>(A)</bold> sample type (siphon, gills, stomach, sediments); <bold>(B)</bold> depth (m) of the sampling site.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g002.tif">
<alt-text content-type="machine-generated">Box plots comparing the Shannon alpha-diversity index. Panel A shows diversity in sample types: gills, sediment, siphon, and stomach. Panel B shows diversity at depths of nineteen and twenty-seven meters. Median values are indicated with black diamonds.</alt-text>
</graphic>
</fig>
<p>The multidimensional beta diversity analysis of bacterial communities, based on sample type, revealed significant differences in microbial composition. The PERMANOVA and ANOSIM results supported this finding: PERMANOVA indicated that approximately 47% of the variation (R&#xb2;=0.468) was explained by differences between tissues (gills, siphon, stomach) and sediments, underscoring the key role of habitat in structuring these communities. Additionally, ANOSIM (R=0.564) confirmed clear segregation between groups, with greater homogeneity within each sample type (e.g., sediment samples) than between sample types. The accompanying PCoA plot, in which axes 1 and 2 collectively explain approximately 62% of total variability, shows distinct clustering between tissue and sediment samples. The sediment samples appeared more homogeneous, indicating lower internal variability compared to mollusk tissues (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>PCoA analysis of the beta diversity of bacterial communities from <italic>M. arenaria</italic> organs (siphon, gills, stomach) and adjacent sediments, visualized at ASV level; ellipses represent 95% confidence intervals for each sample group, and statistical significance was confirmed by PERMANOVA (F=2.94, R&#xb2;=0.47, p=0.002) and ANOSIM (R=0.56, p &lt;0.002).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g003.tif">
<alt-text content-type="machine-generated">Scatter plot showing sample types including gills, sediments, siphon, and stomach with colored ellipses representing groupings. Axes are labeled Axis 1 (36%) and Axis 2 (20%). PERMANOVA results: F-value 2.9369, R-squared 0.46839, p-value 0.002. ANOSIM results: R 0.56433, p-value &lt; 0.002.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Taxonomic profile of bacteria associated with <italic>M. arenaria</italic> (siphon, gills, stomach) and sediments</title>
<p>The bacterial taxonomic assignment of <italic>M. arenaria</italic> organs revealed a diverse community encompassing 16 phyla, 23 classes, 34 orders, 41 families, and 43 genera in the siphon. The gill microbiome comprised 15 phyla, 21 classes, 33 orders, 39 families, and 35 genera, whereas the stomach-colonizing bacteria were assigned to 14 phyla, 22 classes, 30 orders, 29 families, and 31 genera. Meanwhile, the sediment microbiota consisted of 20 phyla, 38 classes, 50 orders, 48 families, and 54 genera (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
<p>At the phylum level, siphon-associated communities were dominated by <italic>Verrucomicrobiota</italic> (28.2%), <italic>Spirochaetota</italic> (26.5%), <italic>Pseudomonadota I</italic> (13%), and <italic>Desulfobacterota</italic> (8.7%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The gill-associated bacteria were dominated by <italic>Verrucomicrobiota</italic> (48.4%), followed by representatives of <italic>Spirochaetota</italic> (26%), <italic>Pseudomonadota</italic> (7.9%), and <italic>Campylobacterota</italic> (7.1%). In contrast, the stomach was dominated by <italic>Spirochaetota</italic> (32%), along with <italic>Verrucomicrobiota</italic> (23.5%), <italic>Planctomycetota</italic> (12.9%), and <italic>Pseudomonadota</italic> (9.6%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). Meanwhile, sediment communities showed comparable proportions of <italic>Desulfobacterota</italic> (27.9%) and <italic>Proteobacteria</italic> (27%), along with <italic>Bacteroidota</italic> (9.3%) and <italic>Chloroflexi</italic> (7.4%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Relative abundance profile of bacterial taxa associated with <italic>M. arenaria</italic> organs (siphon, gills, stomach) and surrounding sediments. <bold>(A)</bold> phyla; <bold>(B)</bold> order; <bold>(C)</bold> genera.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g004.tif">
<alt-text content-type="machine-generated">Stacked bar charts showing relative abundance of different bacterial taxa across gills, sediments, siphon, and stomach samples. Chart A displays phylum-level data, Chart B shows order-level data, and Chart C illustrates genus-level data. Each chart uses distinct colors to represent different taxa, with legends provided for each taxonomic level.</alt-text>
</graphic>
</fig>
<p>The composition of bacterial classes (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>) differed substantially among tissues and environmental samples. While <italic>Verrucomicrobiae</italic> (28.2%) and <italic>Spirochaetia</italic> (26.5%) were the dominant taxa in the siphon, and the gills were primarily composed of <italic>Verrucomicrobiae</italic> (48.4%) and <italic>Spirochaetia</italic> (26.1%), the stomach hosted a bacterial community dominated by <italic>Spirochaetia</italic> (31.9%) and <italic>Verrucomicrobiae</italic> (23.4%) along with a notable contributions from <italic>Planctomycetes</italic> (12.8%) and <italic>Campylobacteria</italic> (9.5%). In contrast, the sediment microbiome was predominantly composed of <italic>Gammaproteobacteria</italic> (25.4%) and <italic>Desulfobulbia</italic> (17.5%), with notable contributions from <italic>Bacteroidia</italic> (9.2%) and <italic>Anaerolineae</italic> (6.9%) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>).</p>
<p>At the order level (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>), bacteria colonizing the siphon were dominated by <italic>Spirochaetales</italic> (26.2%), followed by <italic>Verrucomicrobiales</italic> (24.7%), <italic>Desulfobulbales</italic> (6.2%), <italic>Clostridiales</italic> (5.6%), Enterobacterales (4.7%), and Planctomycetales (3.3%). The gills and stomach samples were mainly composed of <italic>Verrucomicrobiales</italic>, accounting for an average of 45.9%, and 17.8%, respectively. <italic>Campylobacterales</italic> were also highly represented in these two organs, with average relative abundances of 7.2%, and 9.5%, respectively. Moreover, notable abundances of <italic>Spirochaetales</italic> (27.4%) were observed in the gills, with lower contributions from Enterobacterales (2.4%) and <italic>Bacteroidales</italic> (1.9%). Meanwhile, <italic>Planctomycetales</italic> (8.8%), <italic>Chthoniobacterales</italic> (5.2%), <italic>Enterobacterales</italic> (4.7%), and <italic>Synechococcales</italic> (3.8%) were better represented in the stomach (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>). For the sediment samples, <italic>Desulfobulbales</italic> dominated (16.9%), followed by representatives of <italic>Steroidobacterales</italic> (9.6%), <italic>Flavobacteriales</italic> (8.0%), and <italic>Pseudomonadales</italic> (5.2%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<p>The taxa belonging to the families <italic>Spirochaetaceae</italic> and <italic>Rubritaleaceae</italic> families were identified at high abundances in the three analyzed organs (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>). Thus, in the siphon samples, they accounted for an average of 26.2% and 24.7%, respectively; in the gills, 45.9% and 27.4%, and in the stomach, 32.5% and 17.7%. <italic>Desulfobulbaceae</italic> (4.2%) and <italic>Enterobacteriaceae</italic> (4.3%) were better represented in the siphon, <italic>Arcobacteraceae</italic> (4.2%) in gills, while <italic>Sulfurimonadaceae</italic> (7.8%) and <italic>Chthoniobacteraceae</italic> (5.2%) exhibited higher relative abundances in the stomach. Meanwhile, bacterial species of <italic>Desulfobulbaceae</italic> (12.1%) dominated the sediment samples, followed by <italic>Woseiaceae</italic> (9.6% average) and <italic>Flavobacteriaceae</italic> (8.0%) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>).</p>
<p>Clear differences were observed in the abundance of bacterial genera across the bivalve organs and associated sediments (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>). In the siphon, the community was dominated by unassigned sequences (44.1%), followed by the genus <italic>Persicirhabdus</italic> (24.9%), with minor contributions from <italic>Clostridium_sensu_stricto_1</italic> (5.7%) and <italic>Escherichia/Shigella</italic> (4.5%). The gills showed a high abundance of <italic>Persicirhabdus</italic> (45.7%) and unassigned sequences (39.0%), while <italic>Sulfurimonas</italic> (2.2%) and <italic>Poseidonibacter</italic> (2.1%) emerged as the next most relevant genera. In the stomach, unassigned sequences were predominant (50.6%), followed by <italic>Persicirhabdus</italic> (17.7%) and <italic>Sulfurimonas</italic> (7.8%), along with LD29 (5.2%), a poorly characterized genus. Finally, in sediments, unassigned sequences dominated (52.9%), followed by <italic>Woeseia</italic> (9.4%), <italic>Ilumatobacter</italic> (4.8%), and <italic>Halioglobus</italic> (3.5%), genera associated with marine environments and sulfur cycling (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<p>Heatmap analysis of the distribution of bacterial phyla in clam organs and sediments highlighted similarities and differences among bacterial communities according to the sample type and water depth (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The analysis revealed that bacteria colonizing the organs of <italic>M. arenaria</italic> formed a distinct cluster compared to those associated with sediments (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Moreover, no association pattern among these communities with respect to water depth was observed (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Heatmap distribution of bacterial phyla from <italic>M. arenaria</italic> organs (siphon, gills, stomach) and sediments, in relation to water depth.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g005.tif">
<alt-text content-type="machine-generated">Heatmap showing microbial abundance across samples labeled MA1 to MA16. Rows represent different bacterial groups. Color intensity indicates abundance, ranging from blue (low) to red (high). Legends indicate sample type (Gills, Siphon, Stomach, Sediments) and depth (19m, 27m).</alt-text>
</graphic>
</fig>
<p>Pattern search analysis of bacteria phyla from clam organs and sediments (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) revealed a positive correlation between <italic>Verrucomicrobiota</italic> and gills, as well as between sediment samples and <italic>Latescibacterota</italic>, <italic>Sva0485</italic>, <italic>Chloroflexi</italic>, <italic>Myxococcota</italic>, <italic>Nitrospirota</italic>, <italic>Patescibacteria</italic>, and <italic>Desulfobacterota</italic>, which were either absent or present at very low abundances in the analyzed organs. Campylobacterota was also positively correlated with the stomach samples (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Conversely, a negative correlation was observed between phyla <italic>Planctomycetota</italic> and <italic>Firmicutes</italic> and the gill samples, as well as between <italic>Cyanobacteria</italic> and the siphon samples (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Phylum-level correlation analysis between bacterial taxa and sample types in <italic>M. arenaria</italic>, showing the strength and direction of associations for the top 19 most correlated phyla; positive correlations (red) indicate enrichment in specific organs or sediments; negative correlations (blue) indicate depletion, as determined by Spearman&#x2019;s rank correlation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g006.tif">
<alt-text content-type="machine-generated">Bar chart showing the top 19 phylum correlations, with Verrucomicrobiota having the highest positive correlation and Planctomycetota having the lowest negative correlation. Colors represent environments: gills, sediments, siphon, and stomach, scaled from low to high correlation.</alt-text>
</graphic>
</fig>
<p>The LDA Effect Size (LefSe) analysis of microbial taxa with significant differential abundance among the sample types (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4</bold>
</xref>) identified <italic>Spirochaetota</italic>, <italic>Planctomycetota</italic>, and <italic>Cyanobacteria</italic> as significant biomarkers differentiating the analyzed sample types (LDA score &gt;3), highlighting their dominance in the stomach. Moreover, the prevalence of other phyla including <italic>Desulfobacterota</italic>, <italic>Pseudomonadota</italic>, <italic>Bacteroidota</italic>, <italic>Chloroflexi</italic>, and <italic>Actinobacteriota</italic> (LDA score &gt;3), was observed in the sediment samples (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Predicted functional role of the microbiome of <italic>M. arenaria</italic> from different organs and associated sediments</title>
<p>The 16S rRNA gene sequencing data was used to estimate the functional profile of the corresponding bacteria based on sequence similarities to organisms with fully sequenced and annotated genomes, using Tax4Fun with SILVA annotated features for functional profiling.</p>
<p>The predicted functional profile analysis showed a comparable distribution of the relative abundance of various genes based on Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic pathways (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). In this respect, genes related to carbohydrate, amino acid, and energy metabolism were prevalent across all samples, followed by those involved in the metabolism of cofactors, vitamins, and nucleotides, which showed comparable values between organs and sediments (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Although not among the dominant pathways, several associated with xenobiotic biodegradation and antibiotic biosynthesis were identified (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). Thus, the analysis revealed a slight increase in the expression of genes associated with most of the identified degradation pathways within organs (e.g., degradation of toluene, ethylbenzene, xylene, chlorocyclohexane, and chlorobenzene), suggesting differential metabolic activity between the two types of matrices analyzed (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>). With regard to antibiotic synthesis, no major differences in gene abundances were observed between organs and sediments, with the dominant functions being related to streptomycin and monobactam biosynthesis, which were slightly more prevalent in sediment-colonizing bacteria. Meanwhile, the analyzed organs showed high abundances of genes involved in penicillin and cephalosporin biosynthesis (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Predicted functional profile of bacterial communities colonizing the organs (blue) and sediments (red) based on KEGG metabolic pathways. Detailed gene profile xenobiotic biodegradation and metabolism (left) and antibiotic synthesis (right). Number of predicted functional genes corresponds to ASVs identified in the analyzed matrices. Functional prediction was made by linking ASV taxonomy to KEGG gene orthologs, reflecting the potential metabolic capabilities of the microorganism.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-12-1659674-g007.tif">
<alt-text content-type="machine-generated">Bar graph comparing metabolic processes and degradation pathways in organs (blue) and sediments (orange). Top pathways include amino acids metabolism and antibiotics biosynthesis. Lower sections cover xenobiotics degradation with specific focuses like dioxin degradation and penicillin biosynthesis.</alt-text>
</graphic>
</fig>
<p>Although the beta diversity analysis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>) revealed significant differences between clam tissues and sediment microbiota, their predicted functions based on 16S rRNA gene sequences suggested only limited variation between the two matrices. In this regard, further investigations using metagenomic and metatranscriptomic analyses are required to gain deeper insight into the functional variability of these communities (<xref ref-type="bibr" rid="B1">Aguiar-Pulido et&#xa0;al., 2016</xref>), which may provide a more detailed understanding of their metabolic profiles.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>This study aimed to characterize the bacterial communities of the bivalve <italic>M. arenaria</italic> collected from the Romanian part of the Black Sea, and is the first to examine the microbiome of different organs (siphon, gills, and stomach) of this marine invertebrate, as well as the associated sediments.</p>
<p>Previous research on <italic>M. arenaria</italic>-associated bacteria has primarily focused on microbial contamination, including studies on the kinetics of coliform bacteria uptake and removal by this bivalve (<xref ref-type="bibr" rid="B13">Cabelli and Heffernan, 1970</xref>), and, more recently, reports of significant contamination with pathogens such as <italic>Arcobacter</italic>, <italic>Cryptosporidium parvum</italic>, <italic>Giardia</italic>, and <italic>Salmonella</italic> in clams collected from the north shore of the St. Lawrence River (Quebec, Canada) (<xref ref-type="bibr" rid="B60">L&#xe9;vesque et&#xa0;al., 2006</xref>). The present study applied culture-independent Illumina sequencing of the 16S rRNA gene to characterize the taxonomic and functional diversity of bacterial communities colonizing the siphon, gills, and stomach of <italic>M. arenaria</italic>, as well as associated sediments from two locations in the Black Sea. This represents a more comprehensive and targeted molecular characterization compared to a previous NGS study of <italic>M. arenaria</italic> microbiome, which only characterized the bacterial diversity of the whole organisms collected from two locations on the east coast of Canada (<xref ref-type="bibr" rid="B64">Liu et&#xa0;al., 2020</xref>). Moreover, this study investigated the hypothesis that <italic>M. arenaria</italic> hosts a microbiome that may help it cope with stressful estuarine conditions and organic pollution, including bacterial contaminants. This molecular approach also enabled the identification of bacterial genes potentially involved in diverse metabolic functions, including antibiotic resistance, providing insight into functional traits that allow the clam to cope with environmental stressors.</p>
<p>Our data showed that the bivalve microbiota was well differentiated from that of its physical habitat, and exhibited compositional variations depending on the organ, with greater taxonomic diversity (19 phyla) in the sediments as compared to the bivalve organs (14&#x2013;15 phyla), independent of water depth. The phylum <italic>Verrucomicrobiota</italic> dominated the siphon and gill samples, <italic>Spirochaetota</italic> was the most abundant in the stomach, and the sediment communities were mainly composed of <italic>Desulfobacterota</italic>.</p>
<p>No significant differences in bacterial diversity were observed between samples from different depths, likely reflecting similar environmental conditions across sites. All samples were collected from circalittoral sandy mud habitats, which are characterized by benthic communities dominated by detritivores and suspension feeders such as oligochaetes, polychaetes, mollusks, and bacterivorous nematodes (<xref ref-type="bibr" rid="B78">Nenciu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B76">Mure&#x15f;an et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B115">Teac&#x103; et&#xa0;al., 2019</xref>, <xref ref-type="bibr" rid="B116">2020</xref>). These results align with other studies showing that microbial communities in similar habitats are comparable, even across different geographical regions (<xref ref-type="bibr" rid="B55">Lauber et&#xa0;al., 2009</xref>).</p>
<p>Recent investigations in the Black Sea revealed the dominance of <italic>Actinobacteriota</italic> and <italic>Chloroflexi</italic> in sediments from areas with physico-chemical water characteristics and substrate composition comparable to those observed in our research (<xref ref-type="bibr" rid="B71">Menabit et&#xa0;al., 2024</xref>). While these bacteria were also detected, the most abundant taxa colonizing the sediments in this study were assigned to <italic>Pseudomonadota</italic> and <italic>Desulfobacterota</italic>. Shifts in microbial composition might be attributed to the distinct habitat types (<xref ref-type="bibr" rid="B116">Teac&#x103; et&#xa0;al., 2020</xref>), as such changes in the structure of the zoobenthic community could influence microbial populations. While prior research (<xref ref-type="bibr" rid="B90">Reveillaud et&#xa0;al., 2014</xref>) has demonstrated that microbial communities often reflect host and environmental differences across large spatial scales, our study found relatively minor differences in bacterial composition between the two sampling sites, suggesting limited spatial variation in this context.</p>
<p>Bivalves, like many other organisms, host microbial communities that are specific to various organs and tissues. Previous data have reported the digestive system as containing the highest concentrations of bacteria, particularly the stomach, gastric juice, crystalline style and digestive diverticula (<xref ref-type="bibr" rid="B52">Kueh and Chan, 1985</xref>). The results obtained in this survey indicated a specific microbiota in this bivalve, distinct from its physical habitat, with compositional variations depending on the organ. Thus, representatives of the order <italic>Spirochaetales</italic> showed the highest abundances in siphon and gill samples, with the <italic>Verrucomicrobiales</italic> group being better represented in gills. Taxa belonging to <italic>Spirochaetales</italic> have also been identified in the digestive tract of invertebrates such as arthropods (<xref ref-type="bibr" rid="B5">Berlanga et&#xa0;al., 2007</xref>) and mollusks (<xref ref-type="bibr" rid="B92">Romero and Espejo, 2001</xref>), as well as in bivalve gills (<xref ref-type="bibr" rid="B25">Duperron et&#xa0;al., 2007</xref>). A recent study in New Zealand showed these bacteria to be abundant in the siphon and digestive glands of the bivalve <italic>Paphies australis</italic> (<xref ref-type="bibr" rid="B7">Biessy et&#xa0;al., 2020</xref>), consistent with our data, which revealed a high representation of <italic>Spirochaetales</italic> taxa in the siphon samples. Bacteria classified in the order <italic>Verrucomicrobiales</italic> have been identified in various environments such as the water column (<xref ref-type="bibr" rid="B127">Yoon et&#xa0;al., 2007</xref>), sediments (<xref ref-type="bibr" rid="B126">Yoon et&#xa0;al., 2008</xref>), in association with marine invertebrates, such as the polychaete <italic>Periserrula leucophryna</italic> (<xref ref-type="bibr" rid="B125">Yang et&#xa0;al., 2007</xref>) and different organs (gills, stomach, foot) of the bivalve <italic>M. galloprovincialis</italic> (<xref ref-type="bibr" rid="B77">Musella et&#xa0;al., 2020</xref>). The results also indicated a statistical correlation between the phylum <italic>Planctomycetales</italic> and stomach samples, consistent with data on the stomach microbiome of <italic>C. gigas</italic>, which showed a high abundance of taxa belonging to this group (<xref ref-type="bibr" rid="B80">Offret et&#xa0;al., 2020</xref>).</p>
<p>The present data revealed distinct, organ-specific distributions of bacterial taxa within <italic>M. arenaria</italic>. Members of the order <italic>Bacteroidales</italic> were predominantly associated with the siphon, while bacteria from <italic>Campylobacterales</italic> and <italic>Synechococcales</italic> exhibited higher relative abundances in the stomach samples. The enrichment of <italic>Bacteroidales</italic> is consistent with the high representation of this phylum in other marine invertebrates, including the crab <italic>Callinectes sapidus</italic> (<xref ref-type="bibr" rid="B35">Givens et&#xa0;al., 2013</xref>), the gastropod <italic>Haliotis diversicolor</italic> (<xref ref-type="bibr" rid="B130">Zhao et&#xa0;al., 2018</xref>), and the bivalve <italic>M. galloprovincialis</italic> (<xref ref-type="bibr" rid="B77">Musella et&#xa0;al., 2020</xref>). Similarly, <italic>Campylobacterales</italic> that prevailed in the stomach of <italic>M. arenaria</italic> have been reported in the digestive tracts of various marine organisms, such as the sea urchin <italic>Lytechinus variegatus</italic> (<xref ref-type="bibr" rid="B38">Hakim et&#xa0;al., 2015</xref>) and the ascidian <italic>Ciona intestinalis</italic> (<xref ref-type="bibr" rid="B21">Dishaw et&#xa0;al., 2014</xref>), suggesting a possible functional role in digestion. The presence of <italic>Synechococcales</italic> in stomach tissues may be linked to the dietary habits of <italic>M. arenaria</italic>, as these cyanobacteria are known to constitute a significant nutritional component for other marine taxa, including sipunculid worms (<xref ref-type="bibr" rid="B61">Li et&#xa0;al., 2023a</xref>; <xref ref-type="bibr" rid="B63">Liu et&#xa0;al., 2023</xref>) and bivalves (<xref ref-type="bibr" rid="B89">Qiao et&#xa0;al., 2022</xref>).</p>
<p>Despite variations in composition, our research showed that the <italic>Verrucomicrobiota</italic> and <italic>Spirochaetota</italic> phyla exhibited high abundances in all analyzed organs. In addition, a notable proportion of sequences belonging to <italic>Planctomycetota</italic> was recovered from the stomach samples. A study conducted at two locations on the East Coast of Canada demonstrated that soft-shell clams from Nova Scotia had a higher abundances of <italic>Pseudomonadota</italic> and <italic>Acidobacteria</italic>, but a lower abundance of <italic>Actinobacteria</italic> than those from Quebec. Furthermore, samples from Nova Scotia exhibited greater microbial diversity than those from Quebec (<xref ref-type="bibr" rid="B64">Liu et&#xa0;al., 2020</xref>). These findings suggest that environmental factors may shape the microbial communities of this bivalve, influencing both composition and diversity.</p>
<p>The genus <italic>Persicirhabdus</italic> encompasses nitrate-reducing bacteria (<xref ref-type="bibr" rid="B126">Yoon et&#xa0;al., 2008</xref>), which, under certain conditions, such as low oxygen levels, can reduce nitrates to nitric oxide (<xref ref-type="bibr" rid="B108">Strahl and Abele, 2020</xref>). Studies have shown that the clam <italic>Arctica islandica</italic> may harbor nitrate-reducing bacteria, and that nitric oxide could play a crucial role in reducing the metabolic activity of <italic>A. islandica</italic> during self-burial and shell closure. Under these conditions, nitric oxide contributes to the initiation of metabolic depression, which may help conserve energy during hypoxia or anoxia and protect against oxidative stress (<xref ref-type="bibr" rid="B108">Strahl and Abele, 2020</xref>). Accordingly, the high abundance of these bacteria in the analyzed organs of <italic>M. arenaria</italic> could support the survival and adaptation of this bivalve in the low-oxygen conditions of the investigated area.</p>
<p>The genus <italic>Sulfurimonas</italic> is characterized as sulfur-oxidizing bacteria, capable of growing chemoautotrophically with reduced sulfur compounds, such as sulfide, thiosulfate and elemental sulfur (<xref ref-type="bibr" rid="B102">Sievert et&#xa0;al., 2008</xref>), and has been isolated from various environments, including coastal marine sediments (<xref ref-type="bibr" rid="B40">Hoor, 1975</xref>; <xref ref-type="bibr" rid="B14">Cai et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B120">Wang et&#xa0;al., 2020</xref>), polychaete nests (<xref ref-type="bibr" rid="B45">Inagaki et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B114">Takai et&#xa0;al., 2006</xref>), and deep-sea hydrothermal vents (<xref ref-type="bibr" rid="B42">Hu et&#xa0;al., 2021</xref>). While sulfur-oxidizing bacteria are typically found in the gills of marine bivalves (<xref ref-type="bibr" rid="B19">Dando et&#xa0;al., 1985</xref>; <xref ref-type="bibr" rid="B16">Caro et&#xa0;al., 2007</xref>), recent investigations have revealed a persistent population of these microbes in the digestive tract of adult hosts lucinid clam <italic>Loripes orbiculatus</italic>, which contribute to the host&#x2019;s nutrition by fixing carbon from sulfide oxidation (<xref ref-type="bibr" rid="B3">Alcaraz et&#xa0;al., 2024</xref>). These findings are consistent with our investigations, where we detected higher abundances of <italic>Sulfurimonas</italic> colonizing the stomach samples, further suggesting a role of these bacteria in digestion or other processes that contribute to the host&#x2019;s nutrition.</p>
<p>
<italic>Bacteroides</italic>, identified in all analyzed organs of <italic>M. arenaria</italic>, was previously documented in the digestive tract of the mussel <italic>M. edulis</italic> and the oyster <italic>C. virginica</italic>, and plays an important role in digestion, including the breakdown of complex carbohydrates and the production of essential amino acids (<xref ref-type="bibr" rid="B86">Pierce and Ward, 2019</xref>).</p>
<p>
<italic>Poseidonibacter</italic> is considered a synonym or subgroup within the genus <italic>Arcobacter</italic> (<xref ref-type="bibr" rid="B81">On et&#xa0;al., 2021</xref>), members of which are known pathogens linked to human and animal diseases, previously detected in various water bodies, including wastewater, seawater, and freshwater systems, often associated with fecal contamination (<xref ref-type="bibr" rid="B33">Ghaju Shrestha et&#xa0;al., 2022</xref>), as well as colonizing soft-shell clams collected from the north shore of the St. Lawrence River, and other bivalves such as <italic>M. galloprovincialis</italic> (<xref ref-type="bibr" rid="B83">Ottaviani et&#xa0;al., 2016</xref>). In our study, we observed high abundances of these bacteria in the gills of <italic>M. arenaria</italic> specimens collected from the station located in the Danube influence area, which was not surprising given that the river is permanently subject to anthropogenic pressures such as industrial activities, intensive farming, and agricultural runoff (<xref ref-type="bibr" rid="B31">Gasparotti, 2014</xref>). Moreover, the <italic>Escherichia/Shigella</italic> genera were identified in all analyzed organs. <italic>Escherichia</italic> includes both commensal and pathogenic species (<xref ref-type="bibr" rid="B10">Braz et&#xa0;al., 2020</xref>), whereas <italic>Shigella</italic> is highly infectious and responsible for significant global morbidity and mortality (<xref ref-type="bibr" rid="B99">Schroeder and Hilbi, 2008</xref>). Bivalves, as filter-feeding organisms, concentrate bacteria from the environment and serve as suitable bioindicators of water contamination. Consequently, the presence of these genera in bivalve tissues may pose serious public health risks through seafood consumption and highlight underlying threats to ecosystem health, including microbial pollution and reduced water quality.</p>
<p>Unlike the microorganisms associated with <italic>M. arenaria</italic>, those colonizing the sediments were mainly represented by taxa belonging to the orders <italic>Desulfobulbales, Steroidobacterales</italic>, and <italic>Flavobacteriales</italic> orders. The high abundance of the <italic>Desulfobulbales</italic> group, mainly composed of sulfur-reducing bacteria thriving in anoxic environments (<xref ref-type="bibr" rid="B121">Ward et&#xa0;al., 2021</xref>), could be correlated with the low dissolved oxygen concentrations characterizing the Romanian part of the Black Sea. These particularities could also explain the presence of taxa belonging to <italic>Steroidobacterales</italic> in sediments, which are known for their ability to oxidize sulfur (<xref ref-type="bibr" rid="B75">Mu&#xdf;mann et&#xa0;al., 2017</xref>). Previous studies have demonstrated that <italic>Chloroflexi</italic> species account for 25.5% to 41.3% of total 16S rRNA sequences in marine sediments globally (<xref ref-type="bibr" rid="B41">Hoshino et&#xa0;al., 2020</xref>). Some representatives of this phylum are also known for decomposing organic matter (<xref ref-type="bibr" rid="B53">Landry et&#xa0;al., 2017</xref>). In this study, the prevalence of this group in sediment samples could be associated with the marine habitat, characterized by high organic matter content, from which the samples were collected (<xref ref-type="bibr" rid="B12">Buc&#x15f;e et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B116">Teac&#x103; et&#xa0;al., 2020</xref>). Moreover, the genus <italic>Woeseia</italic> was consistently detected across all sediment samples. This group comprises halotolerant bacteria capable of sulfur oxidation and denitrification (<xref ref-type="bibr" rid="B22">Du et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B75">Mu&#xdf;mann et&#xa0;al., 2017</xref>) and has previously been isolated from both coastal and deep-sea surface sediments (<xref ref-type="bibr" rid="B75">Mu&#xdf;mann et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B39">Hoffmann et&#xa0;al., 2020</xref>).</p>
<p>A preliminary assessment of the functional profile of the microbiome of the bivalve <italic>M. arenaria</italic> and adjacent sediments was performed by determining the functional diversity of the bacterial communities based on16S rRNA gene sequencing data, using the Tax4Fun platform (<xref ref-type="bibr" rid="B54">Langille et&#xa0;al., 2013</xref>). While this tool cannot replace the assessment of gene functionality through metagenomic analysis, studies have shown that it can provide insight into the functions of microorganisms in diverse habitats such as biofilms (<xref ref-type="bibr" rid="B48">Koo et&#xa0;al., 2017</xref>), the water column (<xref ref-type="bibr" rid="B9">Bowman and Ducklow, 2015</xref>), and sediments (<xref ref-type="bibr" rid="B110">Su et&#xa0;al., 2018</xref>). However, the effectiveness of this method depends on the genomic information available in databases, which in some cases does not reflect the functional diversity of the microorganisms in the investigated ecosystem (<xref ref-type="bibr" rid="B122">Wemheuer et&#xa0;al., 2020</xref>).</p>
<p>The data obtained in this study on the functional diversity of the bacterial communities associated with the bivalve <italic>M. arenaria</italic> and surrounding sediments are consistent with previous investigations emphasizing the role of marine bacteria in carbohydrate metabolism (<xref ref-type="bibr" rid="B32">Gavriilidou et&#xa0;al., 2020</xref>). Thus, studies have shown that bacteria associated with some bivalves produce enzymes that break down complex carbohydrates, and contribute to the immune response of these organisms (<xref ref-type="bibr" rid="B23">Dub&#xe9; et&#xa0;al., 2019</xref>). In addition, representatives of the orders <italic>Verrucomicrobiales</italic> and <italic>Bacteroidales</italic> orders, mainly identified in <italic>M. arenaria</italic> organs, are involved in the hydrolysis of various polysaccharides (<xref ref-type="bibr" rid="B68">Martinez-Garcia et&#xa0;al., 2012</xref>). Likewise, <xref ref-type="bibr" rid="B24">Dunkai et&#xa0;al. (2023)</xref> demonstrated that bacterial strains isolated from the digestive system of the bivalve <italic>Crenomytilus grayanus</italic> can degrade various nutrient substrates (sugars, amino acids, and polysaccharides) as well as xenobiotic substances (petroleum hydrocarbons, bisphenol A, and atrazine). Therefore, the presence of genes involved in xenobiotic metabolism in the microbiota of <italic>M. arenaria</italic> could play an important role in maintaining the health and adaptability of this species in diverse environments, including polluted areas. Several studies have highlighted the presence and potential of microbial communities colonizing marine sediments to degrade aromatic hydrocarbons, including toluene, ethylbenzene, xylene, chlorocyclohexane, and chlorobenzene (<xref ref-type="bibr" rid="B73">Moore et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B111">Suarez-Moo et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B79">Nikolova et&#xa0;al., 2021</xref>). Similar degradation pathways which have also been identified in the current study, highlighting the potential of these bacteria as valuable resources for bioremediation and the pharmaceutical industry. Moreover, research undertaken by <xref ref-type="bibr" rid="B112">&#x160;yvokien&#x117; and Butrimavi&#x10d;ien&#x117; (2013)</xref> demonstrated that bacteria associated with the digestive systems of swollen river mussels (<italic>Unio tumidus</italic>) and zebra mussels (<italic>Dreissena polymorpha</italic>) from the Curonian Lagoon (<xref ref-type="bibr" rid="B124">Winters et&#xa0;al., 2011</xref>) are involved in the biodegradation of petroleum hydrocarbons. Mollusks, including bivalves, are emerging as a promising source of novel marine bioactive compounds, with certain species containing substances that could have diverse applications across industries (<xref ref-type="bibr" rid="B106">Sousa and Hinzmann, 2020</xref>). The current investigation demonstrates that bacteria associated with both the organs of <italic>M. arenaria</italic> and the surrounding sediments harbor genes involved in antibiotic synthesis. This finding aligns with other research, such as studies from the Red Sea, where the detection of biosynthetic gene clusters polyketide synthase (PKS) and non-ribosomal peptide synthase (NRPS) in marine invertebrate-associated bacteria indicates their potential to produce bioactive compounds, including antibiotics (<xref ref-type="bibr" rid="B26">El Samak et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study revealed significant differences in bacterial community diversity between the organs of the bivalve <italic>M. arenaria</italic> and the adjacent sediments, with greater diversity in the sediments. The bivalve harbors a distinct microbiota that varies by organ and differs clearly from that of its physical habitat. Notably, the phylum <italic>Verrucomicrobiota</italic> predominated in the siphon and gills, while <italic>Spirochaetota</italic> were more abundant in the stomach. In contrast, <italic>Desulfobacterota</italic> dominated the sediment-associated microbial communities. <italic>Persicirhabdus</italic> bacteria were consistently abundant across all examined organs and may contribute to the clam&#x2019;s metabolic depression and adaptation to low-oxygen conditions. Additionally, sulfur-oxidizing <italic>Sulfurimonas</italic> species in the stomach likely contribute to the host&#x2019;s nutrition. Sediments, in contrast, were primarily colonized by <italic>Woeseia</italic> species, which are key players in the degradation of organic matter. Functional diversity analyses suggested that bacteria inhabiting both bivalve tissues and adjacent sediments participate in diverse metabolic processes, with a particular emphasis on carbohydrate, amino acid, and energy metabolism. Several pathways were associated with xenobiotic degradation and antibiotic biosynthesis, highlighting the biotechnological potential of these microbial communities for applications such as bioremediation and pharmaceutical development.</p>
<p>This survey, providing the first organ-specific characterization of the microbiome associated with <italic>M. arenaria</italic> revealed clear structural differences among the siphon, gills, and stomach, as well as a distinct separation from the surrounding sediment microbial communities. The observed compositional divergence highlighted the presence of a specialized and compartmentalized microbiome within the bivalve, likely shaped by organ-specific functions and external environmental exposures. Notably, the internal microbial communities do not mirror the environmental microbiota, suggesting a non-random, potentially symbiotic assemblage with functional relevance to host biology. These results offer a foundation for future investigations into the ecological and physiological roles of the bivalve microbiome, particularly in the context of environmental stress and host adaptation. Further studies employing metagenomic and metatranscriptomic approaches will be essential to elucidate the mechanistic interactions between <italic>M. arenaria</italic>, its microbiota, and the surrounding habitat. Nevertheless, the small number of specimens analyzed could potentially bias interpretations of the structural and functional diversity within the bivalve microbiome.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>All data supporting the findings of this study are provided within the manuscript. The 16S rRNA gene sequences from this study were deposited in the NCBI Sequence Read Archive (SRA) under BioProject accession number PRJNA922888 (<uri xlink:href="https://www.ncbi.nlm.nih.gov/bioproject/PRJNA922888/">https://www.ncbi.nlm.nih.gov/bioproject/PRJNA922888/</uri>).</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>SM: Investigation, Methodology, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. PL: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Software, Methodology. TB: Writing &#x2013; review &amp; editing, Resources. AT: Writing &#x2013; review &amp; editing, Software, Resources. MM: Writing &#x2013; review &amp; editing, Resources. CP: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Validation, Supervision, Formal Analysis, Conceptualization.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. Financial support was provided by the National Core Programme PN 23 30 02&#x2013;02 of the Romanian Ministry of Education and Research, Romanian Academy project RO1567&#x2212;IBB05/2024, and HORIZON EUROPE&#x2014;MARBEFES/101060937&#x2014;MARine Biodiversity and Ecosystem Functioning leading to Ecosystem Services.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Lavinia Iancu for technical support.</p>
</ack>
<sec id="s10" 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s12" 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="s13" 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.2025.1659674/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmars.2025.1659674/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Table1.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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