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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2025.1657904</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Occurrence, health risk of PAHs and the interrelated microbial communities in &#x200C;the sediment of Jinzhou Bay</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lian</surname>
<given-names>Meihua</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3077028/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Yugang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yaqi</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Xiaoman</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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<aff id="aff1"><sup>1</sup><institution>School of Environmental and Chemical Engineering, Shenyang Ligong University</institution>, <addr-line>Shenyang, Liaoning</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Land and Environment, Shenyang Agricultural University</institution>, <addr-line>Shenyang, Liaoning</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1489786/overview">Yizhi Sheng</ext-link>, China University of Geosciences, China</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/397249/overview">Alexandra Pavlidou</ext-link>, Hellenic Centre for Marine Research (HCMR), Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1382364/overview">Feng Li</ext-link>, Xiangtan University, China</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3132156/overview">Zhiheng Li</ext-link>, Zhejiang Gongshang University, China</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Xiaoman Yu, <email>yuxiaoman@syau.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1657904</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Lian, Yang, Li and Yu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Lian, Yang, Li and Yu</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>Polycyclic aromatic hydrocarbons (PAHs), a class of persistent organic pollutants prevalent in estuarine sediments, were systematically investigated for their spatial distribution, human health risks, and microbial community interactions across selected contamination gradients. Analytical results demonstrated &#x2211;PAH concentrations in sediments ranging from 0.691 to 25.083&#x202F;mg/kg dry weight, with benzo[a]pyrene toxic equivalents (TEQBaP) exceeding international sediment quality guidelines (ISQGs) at 30% of sampling sites, primarily near anthropogenic emission hotspots. Lifetime carcinogenic risk assessments revealed maximum values of 2.41&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;</sup>&#x2075; (children), 1.98&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;</sup>&#x2075; (adolescents), and 3.04&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;</sup>&#x2075; (adults), with wastewater discharge zones exhibiting both the highest PAH concentrations and population exposure risks. Taxonomic profiling revealed sediment bacterial communities dominated by Proteobacteria, Bacteroidetes and Chloroflexi at the phylum level. The sulfate-reducing genus <italic>Desulfobulbus</italic> was ubiquitously detected except at upstream reference sites. Multivariate redundancy analysis (RDA) revealed that total nitrogen (TN), total phosphorus (TP), total organic carbon (TOC), sulfur (S), and PAHs concentrations constituted the key variables governing microbial community structure (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
</abstract>
<kwd-group>
<kwd>PAH</kwd>
<kwd>sediment</kwd>
<kwd>estuary</kwd>
<kwd>microbial community</kwd>
<kwd>risk assessment</kwd>
</kwd-group>
<contract-num rid="cn1">U24A20621</contract-num>
<contract-num rid="cn2">LJ212510144005</contract-num>
<contract-num rid="cn3">2025JH2/101330020</contract-num>
<contract-sponsor id="cn1">National natural science funding of China</contract-sponsor>
<contract-sponsor id="cn2">Program of Education Department of Liaoning Province</contract-sponsor>
<contract-sponsor id="cn3">Applied Basic Research Program of Liaoning</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="1"/>
<equation-count count="6"/>
<ref-count count="52"/>
<page-count count="10"/>
<word-count count="7117"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Microbiological Chemistry and Geomicrobiology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Estuaries serve as the junction where rivers meet, making them particularly susceptible to the impacts of human activities and the pollutants that are released into the environment (<xref ref-type="bibr" rid="ref49">Zeng et al., 2023</xref>). Changes in the physical and chemical properties of the water&#x2013;sediment interface can lead to the re-release of pollutants into the external environment. This transition causes sediments to shift from functioning as a &#x201C;sink&#x201D; to becoming a &#x201C;source&#x201D; of contaminants, which can result in significant pollution in the estuary area and pose potential ecological risks (<xref ref-type="bibr" rid="ref11">Grmasha et al., 2023</xref>).</p>
<p>Polycyclic Aromatic Hydrocarbons (PAHs) represent a significant category of persistent organic pollutants, primarily released through the combustion of fossil fuels, industrial discharges, and various anthropogenic activities (<xref ref-type="bibr" rid="ref44">Xie et al., 2021</xref>). Sixteen PAHs have been identified as priority contaminants by the Environmental Protection Agency (EPA) of the United States (<xref ref-type="bibr" rid="ref5">Bouzekry et al., 2024</xref>). Low molecular weight PAHs, which consist of 2&#x2013;3 benzene rings, are classified as non-carcinogens. The high molecular weight PAHs, specifically those with 4 to 6 rings, are classified as carcinogens. Upon release into the environment, PAHs have the potential to migrate over considerable distances, dispersing into soils, sediments, water, and the atmosphere on a global scale (<xref ref-type="bibr" rid="ref10">Dreij et al., 2019</xref>; <xref ref-type="bibr" rid="ref26">Lv et al., 2020</xref>). The accumulation of PAHs in sediments over extended periods functions as a primary reservoir. Concentrations of PAHs in the Pearl River estuary and surrounding sea regions varied between 189 and 637&#x202F;ng/g. The primary sources of pollution were identified as petroleum burning within the estuary and coal combustion in the areas beyond the estuary (<xref ref-type="bibr" rid="ref25">Luo et al., 2006</xref>). The concentration of PAHs in the surface sediments of the estuarine region of the Pearl River Delta ranged from 69.1 to 1,297&#x202F;ng/g, indicating a medium level of ecological risk (<xref ref-type="bibr" rid="ref20">Li et al., 2021</xref>). Research has demonstrated that there is considerable spatial variability of PAHs in sediments between the northern and southern regions, attributed to differences in climate, energy sources, and industrial activities in China. PAHs are oleophilic and hydrophobic, allowing them to accumulate in the human body through inhalation, ingestion, and other routes. Their reputation as a major issue stems from the carcinogenic, mutagenic, and teratogenic impacts on aquatic organisms and human health (<xref ref-type="bibr" rid="ref14">Han et al., 2022</xref>; <xref ref-type="bibr" rid="ref41">Venkatraman et al., 2024</xref>). Consequently, recognizing their spatial distributions and assessing the ecological risks are essential for formulating management strategies that are customized to the areas.</p>
<p>The diversity of habitats and environments in estuarine regions, along with the numerous contaminants introduced by river inputs and sewage discharge, support microbial life and elicit varied responses to environmental stressors (<xref ref-type="bibr" rid="ref33">Ohore et al., 2022</xref>; <xref ref-type="bibr" rid="ref36">Qiang et al., 2021</xref>). Extended exposure to contamination can lead to the adaptation of certain microorganisms, resulting in alterations to the community structure. The microbial community plays a vital role in nutrient and organic matter cycling and constitutes a significant portion of biomass in sediments (<xref ref-type="bibr" rid="ref17">Johnston and Leff, 2015</xref>). Previous research has shown that PAH pollution in sediments originating from industrial activities influences the composition and density of microbial communities, and can even disrupt their metabolic processes within the environment (<xref ref-type="bibr" rid="ref23">Liu et al., 2018</xref>). Recent studies indicate a decrease in bacterial alpha-diversity in response to increased PAH concentrations, attributed to the proliferation of hydrocarbon-clastic organisms (<xref ref-type="bibr" rid="ref18">Kimes et al., 2014</xref>; <xref ref-type="bibr" rid="ref16">Jeanbille et al., 2016</xref>). Deltaproteobacteria and Gammaproteobacteria, known for their role in hydrocarbon degradation, are identified as the predominant and frequently occurring microbes in sediments located near coastal regions (<xref ref-type="bibr" rid="ref16">Jeanbille et al., 2016</xref>). Nevertheless, the reaction of microorganisms to the persistent pollution of PAHs in sediment has not been comprehensively revealed, potentially due to the low concentration of PAHs and the intricate determination process involved. Recent findings indicate that chronic pollution extends exposure duration and enhances community stability, thereby promoting greater diversity within the bacterial community (<xref ref-type="bibr" rid="ref31">Nogales et al., 2007</xref>; <xref ref-type="bibr" rid="ref50">Zhang et al., 2008</xref>). Furthermore, it is suggested that environmental factors have a greater influence on microbial communities, indicating that the role of contaminants has been previously concealed and overlooked.</p>
<p>Jinzhou Bay represents a typical example of a heavily polluted coastal area in China, primarily attributed to the activities associated with nonferrous metal smelting industries. Significant quantities of metal(loid) and PAHs were discharged from the Huludao Zn Plant, recognized as one of the largest zinc facilities in Asia, into the estuarine and coastal regions (<xref ref-type="bibr" rid="ref21">Li et al., 2012</xref>; <xref ref-type="bibr" rid="ref49">Zeng et al., 2023</xref>). Investigation and analysis revealed that the concentration of PAHs was elevated in the sub-region. Therefore, it is essential to evaluate the occurrence and health risk of PAHs, as well as to identify the microbial community and its diversity in sediments, to comprehend the impacts of regional pollutant disturbances on estuarine ecosystems.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<label>2</label>
<title>Materials and methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Sedimental samples collection, extraction, and analysis</title>
<p><xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates sample sites within a typical polluted estuary area, specifically the Huludao Estuary. This study collected a total of 12 points, which primarily encompass the upstream region of Wuli River (SD7, SD8, SD9), the pollutant discharge zone (SD1, SD6), and the downstream area of the sewage outlet (Jinzhou Bay area SD2, SD3, SD4, SD5, SD10, SD11, SD12). Surface sediments were collected using a stainless-steel shovel. Surface samples measuring 0&#x2013;5&#x202F;cm were collected and placed into polyethylene sample bags. These bags were then sealed and stored at a temperature of &#x2212;20 &#x00B0;C. Soil pH was determined by a Sartorius PB-10 pH meter (Sartorius, Germany), while the total concentrations of nitrogen (TN), sulfur (S), and total organic carbon (TOC) were analyzed using a MAT253 isotope ratio mass spectrometer instrument (Thermo Fisher Scientific, Bremen, Germany). Total phosphorus (TP) was determined by the potassium persulfate oxidation method and measured by spectrophotometry (UV-2500, Shimadzu).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Sampling sites in the typical polluted estuary area.</p>
</caption>
<graphic xlink:href="fmicb-16-1657904-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Map showing Huludao City in Liaoning Province, highlighting the Huludao Zinc Plant with a red triangle. Sampling sites are marked with black dots labeled SD1 to SD12 along blue waterways, near Jinzhou Bay. An inset map shows the broader location within Liaoning.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Determination of PAHs</title>
<p>Upon returning to the laboratory, the samples underwent freeze-drying, were ground using an agate mortar and sieved to 2&#x202F;mm. Briefly, 2.0&#x202F;g of the sieved soil sample were precisely placed in a conical flask and PAHs were extracted with dichloromethane using Soxhlet extractor. Then the extract was purified by passing it through a magnesium silicate purification column, evaporated to dryness by nitrogen gas, redissolved in acetonitrile and transferred to a chromatographic injection bottle for analysis. The concentrations of PAHs in acetonitrile were analyzed by high-performance liquid chromatography (HPLC series 1260s, Agilent) fitted with C18 column. The injection volume was 10&#x202F;&#x03BC;L and the mobile phase was ultrapure water and acetonitrile (40%: 60%), with column temperature at 30 &#x00B0;C. The flow rate was 0.8&#x202F;mL/min (<xref ref-type="bibr" rid="ref46">Xue et al., 2024</xref>). The fluorescence parameters of 16 PAHs, including excitation/emission wavelengths and detection limits were listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>.</p>
<p>An internal calibration procedure with a mixture of PAH standards was used to quantify PAHs concentrations. Calibration standard was analyzed to determine the accuracy of the calibration curves and accuracy of the analytical method. The standard substances used in the experiment were purchased from the AccuStandard company. Recovery of PAHs was assessed by spiking clean sediments at known concentrations and was between 85.6&#x2013;96.3%.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Toxic evaluation of PAHs</title>
<p>The toxicities of PAHs were assessed by determining the toxicity value for each PAH (<xref ref-type="disp-formula" rid="EQ1">Equation 1</xref>), utilizing the toxic equivalent concentration of Benzo[a]pyrene (TEQ) in accordance with the toxic equivalent factor (TEFs) (<xref ref-type="bibr" rid="ref30">Nisbet and Lagoy, 1992</xref>). The concentration of each PAH is converted to the total toxic equivalent concentration (TTEC), which is derived from the <italic>TEQ</italic><sub><italic>B</italic>ap</sub> of each PAHs.</p>
<disp-formula id="EQ1">
<label>(1)</label>
<mml:math id="M1">
<mml:mi mathvariant="italic">TE</mml:mi>
<mml:msub>
<mml:mi>Q</mml:mi>
<mml:mrow>
<mml:mi>B</mml:mi>
<mml:mi>ap</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>=</mml:mo>
<mml:mo>&#x2211;</mml:mo>
<mml:msub>
<mml:mi>C</mml:mi>
<mml:mi mathvariant="normal">i</mml:mi>
</mml:msub>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="italic">TE</mml:mi>
<mml:msub>
<mml:mi>F</mml:mi>
<mml:mi mathvariant="normal">i</mml:mi>
</mml:msub>
</mml:math>
</disp-formula>
<p>Where, <italic>TEQ</italic><sub><italic>B</italic>ap</sub> is a toxic equivalent concentration, C<sub>i</sub> is a concentration of PAH<sub>i</sub>, and <italic>TEF</italic><sub>i</sub> is a toxicity equivalence factor for each PAH.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Risk assessment models of PAHs</title>
<p>Three essential exposed pathways were selected to compute the chronic daily intakes (CDIs, <xref ref-type="disp-formula" rid="EQ2 EQ3 EQ4">Equations 2&#x2013;4</xref>). The incremental lifetime cancer risk (ILCR) model serves to assess the health risk associated with PAHs in sediment, as outlined in the Exposure Factor Handbook published by <xref ref-type="bibr" rid="ref38">United States Environmental Protection Agency (USEPA) (1999</xref>, <xref ref-type="bibr" rid="ref39">2001</xref>, <xref ref-type="bibr" rid="ref40">2011)</xref> (<xref ref-type="disp-formula" rid="EQ5 EQ6">Equations 5, 6</xref>). The model assessed health risks associated with exposure to PAHs in children, adolescents, and adults via ingestion, respiratory inhalation, and skin contact. The potential health risks associated with specific PAHs were assessed through a risk quotient (<xref ref-type="bibr" rid="ref6">Cao et al., 2020</xref>; <xref ref-type="bibr" rid="ref42">Wang et al., 2020</xref>), evaluating the likelihood of adverse effects from PAHs in sediments. This assessment involved calculating the TEQ PAHs for molecular weight PAHs, specifically the carcinogenic PAHs: BaA, Chr, BbF, BkF, BaP, InP, and DbA. The TEFs were expressed relative to BaP with values of 0.1, 0.001, 0.1, 0.01, 1, 0.1, and 1, respectively (<xref ref-type="bibr" rid="ref2">Adeniji et al., 2019</xref>).</p>
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<mml:mi mathvariant="italic">ILC</mml:mi>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mtext mathvariant="italic">inhalation</mml:mtext>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi mathvariant="italic">ILC</mml:mi>
<mml:msub>
<mml:mi>R</mml:mi>
<mml:mtext mathvariant="italic">dermal</mml:mtext>
</mml:msub>
</mml:math>
</disp-formula>
<p>Where CDI refers to the chronic daily intake associated with ingestion, inhalation, and dermal contact (mg/kg/d). Cs represents the total concentration of converted PAHs in sediment, expressed in terms of toxic equivalents of BaP (mg/kg). CSF is the carcinogenic slope factor (mg/kg/day) and CSF<sub>ingestion</sub>, CSF<sub>dermal</sub>, and CSF<sub>inhalation</sub> of BaP were considered to be 7.3, 25, and 3.85 (mg/kg/day)<sup>&#x2212;1</sup>, respectively (<xref ref-type="bibr" rid="ref34">Peng et al., 2011</xref>). The total cancer risk for the residents (R) is calculated by aggregating the risks associated with various exposure routes of PAHs. The New York State Department of Health categorizes qualitative descriptions of lifetime cancer risks as follows: very low when the estimated value is &#x2264;10<sup>&#x2212;6</sup>, low from 10<sup>&#x2212;6</sup>&#x202F;&#x003C;&#x202F;R&#x202F;&#x003C;&#x202F;10<sup>&#x2212;4</sup>, moderate from 10<sup>&#x2212;4</sup>&#x202F;&#x2264;&#x202F;R&#x202F;&#x003C;&#x202F;10<sup>&#x2212;3</sup>, high from 10<sup>&#x2212;3</sup>&#x202F;&#x2264;&#x202F;R&#x202F;&#x003C;&#x202F;10<sup>&#x2212;1</sup> and very high when the value is &#x2265;10<sup>&#x2212;1</sup> (<xref ref-type="bibr" rid="ref32">NYS DOH, 2012</xref>). This study assessed the cancer risk among residents categorized into three groups: children aged 0&#x2013;10&#x202F;years, adolescents aged 11&#x2013;18&#x202F;years, and adults aged 19&#x2013;70&#x202F;years. Other value variables were listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>DNA extraction and 16S rRNA gene sequencing</title>
<p>DNA extraction from sediments was performed using the PowerSoil DNA Isolation Kit (MoBio), and the DNA concentration was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific, Waltham, MA, United States). The amplification of 16S rRNA genes was conducted using bacterial-specific primer pairs 338F and 806R, utilizing a thermal cycler PCR system (GeneAmp 9,700, ABI, United States). Amplicons underwent paired-end sequencing at Majorbio located in Shanghai, China. The alpha-diversity indices, including Chao1, Shannon, sobs, and ace were calculated along with the relative abundances of bacterial taxa. Additionally, the significance of environmental factors and PAHs concentrations, in shaping the bacterial community structure was assessed using redundancy analysis (RDA). Origin2021 served as the tool for data processing and the production of charts.</p>
</sec>
</sec>
<sec sec-type="results" id="sec8">
<label>3</label>
<title>Results</title>
<sec id="sec9">
<label>3.1</label>
<title>Concentration of PAHs and environmental parameters in the sediments</title>
<p>The major geochemical properties of the sediments from different sampling sites were investigated. The average concentration of TOC, TN, TP, S, and pH levels in sediment were 27.00&#x202F;g/kg, 1.47&#x202F;g/kg, 11.40&#x202F;mg/kg, 4.50&#x202F;g/kg, 7.58, respectively. In addition, the total PAH concentration in the sediment samples varied between 0.691&#x202F;mg/kg and 25.083&#x202F;mg/kg (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The highest concentration was observed in SD6, followed by SD9 at 11.56&#x202F;mg/kg and SD12 at 10.46&#x202F;mg/kg. The lowest concentration was recorded in SD8. PAHs are classified into five categories based on the number of benzene rings: two-ring (Nap), three-ring (Ace, Acy, Flu, Phe, and Ant), four-ring (Flt, Pyr, BaA, and Chr), five-ring (BbF, BkF, BaP, and DbA), and six-ring (InP and BghiP) PAHs. <xref ref-type="fig" rid="fig2">Figure 2</xref> illustrates the composition of the categories of PAHs in the samples. The proportions of various rings of PAHs exhibited minor variations. Nap, a two-ring PAH, was detected exclusively at SD2 and SD6, with concentrations measuring 0.067&#x202F;mg/kg and 0.973&#x202F;mg/kg, respectively, and was not detected at other locations. The three-ring PAHs comprised 5.45 to 60.8% of the total, with the highest proportion observed in SD8. The concentration and proportion of four-ring PAHs exceeded those of other PAHs, with the proportion at each sampling point ranging from 31.2 to 87.1%. The five-ring PAHs comprised 0&#x202F;~&#x202F;14.9% of the total content, while the concentration of six-ring PAHs (InP and BghiP) were below the detection limit and not detected in samples.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>The total PAH concentration in sediments.</p>
</caption>
<graphic xlink:href="fmicb-16-1657904-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Horizontal bar chart showing PAHs concentration in milligrams per kilogram across samples SD1 to SD12. Each bar is color-coded to differentiate between 5-ring, 4-ring, 3-ring, and 2-ring PAHs. Sample SD6 has the highest concentration, dominated by 4-ring PAHs.</alt-text>
</graphic>
</fig>
<p>Furthermore, it is necessary to identify the sources of PAHs for pollution control and remediation. PAH isomer pair ratios such as Ant/(Ant + Phe), Flt/(Flt&#x202F;+&#x202F;Pyr), BaA/(BaA&#x202F;+&#x202F;Chr), and InP/(InP&#x202F;+&#x202F;BghiP) have been widely used to distinguish environmental sources of PAHs. Sources were determined as follows: Ant/(Ant+Phe) ratio &#x003C;0.1&#x2014;petroleum/combustion transition point; Flt/(Flt&#x202F;+&#x202F;Pyr)&#x202F;&#x003E;&#x202F;0.5&#x2014;combustion of coal and biomass, and 0.4&#x202F;~&#x202F;0.5&#x2014;fossil combustion; BaA/(BaA&#x202F;+&#x202F;Chr)&#x202F;&#x003C;&#x202F;0.2&#x2014;petroleum, 0.2&#x202F;~&#x202F;0.35&#x2014;either petroleum or combustion, &#x003E;0.35&#x2014;combustion (<xref ref-type="bibr" rid="ref19">Lan et al., 2016</xref>). <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref> shows the diagnostic ratios (based on the concentrations of PAHs) of Ant/(Ant + Phe), Flt/(Flt&#x202F;+&#x202F;Pyr), BaA/(BaA&#x202F;+&#x202F;Chr) and Phe/Ant. The ratios of Ant/(Phe&#x202F;+&#x202F;Ant) ranged from0.53 to 0.87, and all samples were greater than 0.10, indicating that coal combustion was the main source of the PAHs. Flt/(Flt&#x202F;+&#x202F;Pyr) mainly between 0.4&#x2013;0.5, while the BaA/(BaA&#x202F;+&#x202F;Chr) and Phe/Ant also suggested the coal and other fossil energy source. Results indicated that the combustion of coal and other fossil fuel from the surrounding zone was the main source of PAH in the study area.</p>
<p>The toxicological assessment was conducted based on the content of 16 PAHs in soil, as detailed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S4</xref>. The findings indicated that the <italic>TEQ</italic><sub><italic>B</italic>ap</sub> values at each sampling location varied between 0.057 and 1.86&#x202F;mg/kg, with approximately 30% of the sites surpassing the established standard, particularly noted at SD6.</p>
</sec>
<sec id="sec10">
<label>3.2</label>
<title>Health risk assessment of PAHs in sediment</title>
<p>Humans are at risk from direct contact with coastal sediments, especially at low tide (<xref ref-type="bibr" rid="ref5">Bouzekry et al., 2024</xref>). The recreational activities, coastal settlements and fishing are more common in the study environment (<xref ref-type="bibr" rid="ref11">Grmasha et al., 2023</xref>). The daily exposure dose for three exposure routes was determined by quantifying the concentration of PAHs in sediment across various sampling locations (<xref ref-type="table" rid="tab1">Table 1</xref>). In comparison to respiratory ingestion, both dermal contact and ingestion exhibited similar magnitudes, approximately 10<sup>&#x2212;7</sup>. The highest daily exposure dose was observed through the ingestion route, with variation ranges for children being 4.51&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;8</sup>&#x202F;mg/kg/d&#x202F;~&#x202F;1.47&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;6</sup>&#x202F;mg/kg/d, 1.37&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;8</sup>&#x202F;mg/kg/d&#x202F;~&#x202F;4.48&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;7</sup>&#x202F;mg/kg/d, and 4.60&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;8</sup>&#x202F;mg/kg/d&#x202F;~&#x202F;1.50&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;6</sup>&#x202F;mg/kg/d, respectively. The exposure dose at SD6 was the highest among the sampling points, with the ingestion exposure doses for three distinct populations recorded as 1.47&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;6</sup>&#x202F;mg/kg/d, 4.48&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;7</sup>&#x202F;mg/kg/d, 1.50&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;6</sup>&#x202F;mg/kg/d. Respiratory intake was significantly lower than ingestion and skin contact, with the lowest daily exposure observed at all sites. Carcinogenic risk assessment indicates that adults face the greatest risk of carcinogenic health effects, followed by children and adolescents (<xref ref-type="fig" rid="fig3">Figure 3</xref>). SD6 exhibits the highest cancer risk among all sampling sites, with values of 2.41&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup>, 1.98&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup>, 3.04&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup> of the risk for children, adolescents and adults, respectively. The carcinogenic risk of other sites is ranked as follows: SD9&#x202F;&#x003E;&#x202F;SD12&#x202F;&#x003E;&#x202F;SD1&#x202F;&#x003E;&#x202F;SD7&#x202F;&#x003E;&#x202F;SD3&#x202F;&#x003E;&#x202F;SD5&#x202F;&#x003E;&#x202F;SD4&#x202F;&#x003E;&#x202F;SD10&#x202F;&#x003E;&#x202F;SD11&#x202F;&#x003E;&#x202F;SD2&#x202F;&#x003E;&#x202F;SD8. The health risk for all sites exceeds 1.0&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;6</sup>, with the exception of SD8, indicating the presence of potential health risks in this area. It is essential to ensure that adequate occupational protection measures are implemented for the relevant personnel, particularly for those working in proximity to the zinc plant.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The daily exposure dose for three exposure routes (mg/kg/d).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Samples</th>
<th align="center" valign="top" colspan="3">Ingestion&#x002A;10<sup>&#x2212;7</sup></th>
<th align="center" valign="top" colspan="3">Inhalation&#x002A;10<sup>&#x2212;11</sup></th>
<th align="center" valign="top" colspan="3">Dermal&#x002A;10<sup>&#x2212;7</sup></th>
</tr>
<tr>
<th align="center" valign="top">Children</th>
<th align="center" valign="top">Adolescents</th>
<th align="center" valign="top">Adults</th>
<th align="center" valign="top">Children</th>
<th align="center" valign="top">Adolescents</th>
<th align="center" valign="top">Adults</th>
<th align="center" valign="top">Children</th>
<th align="center" valign="top">Adolescents</th>
<th align="center" valign="top">Adults</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">SD1</td>
<td align="center" valign="top">4.886</td>
<td align="center" valign="top">1.487</td>
<td align="center" valign="top">4.979</td>
<td align="center" valign="top">1.795</td>
<td align="center" valign="top">1.752</td>
<td align="center" valign="top">5.855</td>
<td align="center" valign="top">1.777</td>
<td align="center" valign="top">2.202</td>
<td align="center" valign="top">2.579</td>
</tr>
<tr>
<td align="left" valign="middle">SD2</td>
<td align="center" valign="top">0.837</td>
<td align="center" valign="top">0.255</td>
<td align="center" valign="top">0.853</td>
<td align="center" valign="top">0.308</td>
<td align="center" valign="top">0.300</td>
<td align="center" valign="top">1.003</td>
<td align="center" valign="top">0.304</td>
<td align="center" valign="top">0.377</td>
<td align="center" valign="top">0.442</td>
</tr>
<tr>
<td align="left" valign="middle">SD3</td>
<td align="center" valign="top">2.099</td>
<td align="center" valign="top">0.639</td>
<td align="center" valign="top">2.139</td>
<td align="center" valign="top">0.771</td>
<td align="center" valign="top">0.753</td>
<td align="center" valign="top">2.516</td>
<td align="center" valign="top">0.763</td>
<td align="center" valign="top">0.946</td>
<td align="center" valign="top">1.108</td>
</tr>
<tr>
<td align="left" valign="middle">SD4</td>
<td align="center" valign="top">1.778</td>
<td align="center" valign="top">0.541</td>
<td align="center" valign="top">1.812</td>
<td align="center" valign="top">0.653</td>
<td align="center" valign="top">0.638</td>
<td align="center" valign="top">2.131</td>
<td align="center" valign="top">0.647</td>
<td align="center" valign="top">0.802</td>
<td align="center" valign="top">0.938</td>
</tr>
<tr>
<td align="left" valign="middle">SD5</td>
<td align="center" valign="top">2.080</td>
<td align="center" valign="top">0.633</td>
<td align="center" valign="top">2.119</td>
<td align="center" valign="top">0.764</td>
<td align="center" valign="top">0.746</td>
<td align="center" valign="top">2.492</td>
<td align="center" valign="top">0.756</td>
<td align="center" valign="top">0.938</td>
<td align="center" valign="top">1.098</td>
</tr>
<tr>
<td align="left" valign="middle">SD6</td>
<td align="center" valign="top">14.716</td>
<td align="center" valign="top">4.478</td>
<td align="center" valign="top">14.995</td>
<td align="center" valign="top">5.407</td>
<td align="center" valign="top">5.277</td>
<td align="center" valign="top">17.634</td>
<td align="center" valign="top">5.351</td>
<td align="center" valign="top">6.634</td>
<td align="center" valign="top">7.767</td>
</tr>
<tr>
<td align="left" valign="middle">SD7</td>
<td align="center" valign="top">2.963</td>
<td align="center" valign="top">0.902</td>
<td align="center" valign="top">3.019</td>
<td align="center" valign="top">1.089</td>
<td align="center" valign="top">1.062</td>
<td align="center" valign="top">3.550</td>
<td align="center" valign="top">1.077</td>
<td align="center" valign="top">1.336</td>
<td align="center" valign="top">1.564</td>
</tr>
<tr>
<td align="left" valign="middle">SD8</td>
<td align="center" valign="top">0.451</td>
<td align="center" valign="top">0.137</td>
<td align="center" valign="top">0.460</td>
<td align="center" valign="top">0.166</td>
<td align="center" valign="top">0.162</td>
<td align="center" valign="top">0.541</td>
<td align="center" valign="top">0.164</td>
<td align="center" valign="top">0.203</td>
<td align="center" valign="top">0.238</td>
</tr>
<tr>
<td align="left" valign="middle">SD9</td>
<td align="center" valign="top">7.320</td>
<td align="center" valign="top">2.227</td>
<td align="center" valign="top">7.458</td>
<td align="center" valign="top">2.689</td>
<td align="center" valign="top">2.625</td>
<td align="center" valign="top">8.771</td>
<td align="center" valign="top">2.662</td>
<td align="center" valign="top">3.299</td>
<td align="center" valign="top">3.863</td>
</tr>
<tr>
<td align="left" valign="middle">SD10</td>
<td align="center" valign="top">1.641</td>
<td align="center" valign="top">0.499</td>
<td align="center" valign="top">1.672</td>
<td align="center" valign="top">0.603</td>
<td align="center" valign="top">0.589</td>
<td align="center" valign="top">1.967</td>
<td align="center" valign="top">0.597</td>
<td align="center" valign="top">0.740</td>
<td align="center" valign="top">0.866</td>
</tr>
<tr>
<td align="left" valign="middle">SD11</td>
<td align="center" valign="top">0.996</td>
<td align="center" valign="top">0.303</td>
<td align="center" valign="top">1.015</td>
<td align="center" valign="top">0.366</td>
<td align="center" valign="top">0.357</td>
<td align="center" valign="top">1.193</td>
<td align="center" valign="top">0.362</td>
<td align="center" valign="top">0.449</td>
<td align="center" valign="top">0.526</td>
</tr>
<tr>
<td align="left" valign="middle">SD12</td>
<td align="center" valign="top">6.211</td>
<td align="center" valign="top">1.890</td>
<td align="center" valign="top">6.329</td>
<td align="center" valign="top">2.282</td>
<td align="center" valign="top">2.227</td>
<td align="center" valign="top">7.443</td>
<td align="center" valign="top">2.259</td>
<td align="center" valign="top">2.800</td>
<td align="center" valign="top">3.278</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Carcinogenic risk of PAHs in sediments.</p>
</caption>
<graphic xlink:href="fmicb-16-1657904-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar chart displaying cancer risk (10^-6) across twelve different sample demographics (SD1 to SD12) for children, adolescents, and adults. Orange, green, and purple bars represent children, adolescents, and adults, respectively. SD6 shows the highest risk notably among adults, while SD1 and SD9 also have higher risks across all age groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<label>3.3</label>
<title>Bacterial communities and functions in studied areas</title>
<p>The analysis focused on the diversity and composition of bacterial communities in sediments from estuaries in offshore areas, revealing variations in Alpha diversity among different sites (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S5</xref>). The Chao1, Shannon, sobs, and ace metrics of the bacterial communities in SD11 and SD12 were the highest among the sampling areas, whereas SD9 exhibited the lowest values. This indicates that SD11 and SD12 had the greatest bacterial abundance and diversity. In the interim, the composition of microbial communities was investigated, revealing that the bacterial communities predominantly consisted of proteobacteria, bacteroidetes, chloroflexi, acidobacteria, actinobacteria, and firmicutes at the Phylum level in our sediment samples (<xref ref-type="fig" rid="fig4">Figure 4</xref>). The highest relative abundance was associated with Proteobacteria, with values ranging from 17.6 to 49.2%. The primary community composition remains consistent with findings from other studies, indicating that Proteobacteria are more prevalent in severely polluted regions compared to areas with lower levels of PAHs (<xref ref-type="bibr" rid="ref22">Lin et al., 2023</xref>; <xref ref-type="bibr" rid="ref28">Ming et al., 2021</xref>). At general level, the highest abundances were primarily associated with <italic>Anaerolineaceae, sediment JTB255, and Sulfurimon</italic>as in SD 6 and SD1, which exhibited more severe PAHs pollution. Furthermore, <italic>Desulfobulbus</italic> was identified at all locations except the upstream sites SD7, SD8, and SD9. The sediments of SD1, SD2, and SD6 exhibited a significant concentration of sulfur and the bacterial group of <italic>Sulfurimonas</italic> at the generic level in SD1 and SD6 showed a significantly higher presence compared to other sites, with relative abundances of 9.32 and 7.75%, respectively. RDA was conducted to determine the relationships between environmental variables and the composition of microbial communities in sediment across various sites (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The initial axis of the RDA accounted for 51.5% of the variation observed in the surface sediment microbial communities. It exhibited the factors of PAHs, TOC, S, TN, and TP constituted the key variables governing microbial community structure (<italic>p</italic> &#x003C;&#x202F;0.05).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Community composition at the Phylum level in sediment samples. HLD1-HLD12 represents the sites of SD1&#x2013;SD12.</p>
</caption>
<graphic xlink:href="fmicb-16-1657904-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Circular diagram displaying connections between two sets of categories: HLD groups (HLD_1 to HLD_12 and others) and various bacterial phyla, such as Proteobacteria, Bacteroidetes, and Chloroflexi. Colored bands link the categories, representing data relationships. Percentage markings from zero to ninety percent appear above the bacteria categories.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Redundancy analysis of the environmental variables and the composition of microbial communities.</p>
</caption>
<graphic xlink:href="fmicb-16-1657904-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Redundancy analysis (RDA) plot at the phylum level displaying sites SD1 to SD12. The x-axis represents RDA1 (51.54%) and the y-axis represents RDA2 (35.88%). Sites are marked with dots. Arrows indicate the influence of variables such as arsenic, zinc, pH, polycyclic aromatic hydrocarbons (PAHs), total organic carbon (TOC), sulfur, total phosphorus (TP), and total nitrogen (TN) on the sites.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<label>4</label>
<title>Discussion</title>
<p>River and offshore estuarine sediments are major &#x201C;sinks&#x201D; for terrestrial pollutants. The levels of PAHs and the geochemical conditions at the sampling sites, ranging from the upstream of a contaminated river to the estuaries in offshore areas, were assessed and analyzed for comparison. The highest concentration of PAHs was detected at sewage outflows and near the Zn smelting plant, while the levels of PAHs in upstream locations were lower compared to those found in downstream estuaries at offshore sites. Previous study indicates that rivers serve as significant conduits, transporting land-derived sediments that contain contaminants, which can migrate and accumulate in estuarine sediments and offshore marine environments, leading to pollution of organic substances (<xref ref-type="bibr" rid="ref43">Wu et al., 2022</xref>; <xref ref-type="bibr" rid="ref49">Zeng et al., 2023</xref>). The levels of PAHs in estuarine sediments ranged from 1 to 251&#x202F;ng/g, with a mean value of 50.38&#x202F;ng/g observed in the marine sediments of the Mediterranean (<xref ref-type="bibr" rid="ref5">Bouzekry et al., 2024</xref>). In contrast, the sediment from the Al-Hussainya River in Karbala Province, Iraq, exhibited concentrations from 0.36 to 119.06&#x202F;&#x03BC;g/g dw (<xref ref-type="bibr" rid="ref15">Hassan et al., 2019</xref>). Several sediment cores indicated the presence of PAH contamination &#x201C;pockets,&#x201D; displaying levels 200 times greater than those reported in the previous study, and comparable to the findings of the subsequent research. In the areas identified as &#x201C;hot spots&#x201D; for PAH-contaminated sediments, the predominant composition of PAHs consisted of three- and four-ring structures. Concentration of two-ring is relatively low primarily because the higher vapor pressure and greater water solubility of LMW PAHs, leading to more rapid volatilization or faster degradation rate (<xref ref-type="bibr" rid="ref19">Lan et al., 2016</xref>; <xref ref-type="bibr" rid="ref29">Murphy et al., 2016</xref>; <xref ref-type="bibr" rid="ref37">Simo et al., 1997</xref>).</p>
<p>Different PAH sources exhibit distinct compositional patterns, and the isomer pair ratios analyzed in this study suggest that coal and fossil fuel combustion are likely the dominant contributors. Geospatial analysis revealed significantly higher PAH concentrations at site SD6 compared to other sampling locations. Given the absence of other high-energy-consuming industries or substantial domestic coal usage in the study area, emissions from the nearby Zn smelting plant are hypothesized to be the primary source of PAHs. This aligns with prior research identifying smelting operations as major emitters of industrial PAHs, often leading to significant PAH accumulation in adjacent soils (<xref ref-type="bibr" rid="ref4">Boente et al., 2020</xref>). Furthermore, the predominance of 4-ring PAHs in the sediment profile supports their origin from high-temperature combustion processes (<xref ref-type="bibr" rid="ref27">Mai et al., 2003</xref>), consistent with the industrial activities in the region. It has been reported that the sediments near the industrial area showed greater levels of PAHs than other sites, which may be attributed to variations in coal and fossil fuel combustion in adjacent areas (<xref ref-type="bibr" rid="ref51">Zhang et al., 2023</xref>).</p>
<p>People living in coastal areas not only consume seafood such as clams directly, but also inevitably come into direct contact with pollutants in the sediment. Activities like fishing and recreational activities can all lead to the entry of these pollutants into the human body through various exposure routes, thereby posing health risks (<xref ref-type="bibr" rid="ref5">Bouzekry et al., 2024</xref>). The cancer risk associated with PAHs for both children and adults was greater than that for adolescents. Children exhibit heightened sensitivity to environmental pollutants, attributed to their smaller body weight and skin surface area, which increases the likelihood of ingestion through frequent hand-to-mouth activities. Extended exposure to outdoor work or occupations may increase the potential cancer risk for adults (<xref ref-type="bibr" rid="ref12">Halfadji et al., 2021</xref>). Furthermore, the contaminants present in the sediment are susceptible to influence and release from the surrounding environment, indicating that the associated health risks warrant careful consideration.</p>
<p>Hydrocarbon pollutants have been established as a key driver of microbial community composition and diversity shifts in marine sediments (<xref ref-type="bibr" rid="ref22">Lin et al., 2023</xref>). Our findings align with <xref ref-type="bibr" rid="ref7">Cheng et al. (2024)</xref>, who reported Proteobacteria (20.6&#x2013;80.0%) and Bacteroidetes (2.2&#x2013;65.3%) as the dominant phyla in surface sediments. This phylogenetic distribution suggests that PAH contamination may selectively enrich hydrocarbon-degrading bacterial populations, thereby restructuring microbial communities. Notably, certain indigenous microbial taxa appear particularly adapted to PAH-stressed environments, as evidenced by increased functional gene transcripts and the proliferation of PAH-degrading specialists (<xref ref-type="bibr" rid="ref24">Liu et al., 2021</xref>). The presence of Bacteroidetes, a phylum previously associated with hydrocarbon contamination in our study sites further supports this adaptive selection hypothesis (<xref ref-type="bibr" rid="ref13">Haller et al., 2011</xref>). At the genus level, keystone species in our study were predominantly affiliated with Chloroflexi and <italic>&#x03B4;</italic>-Proteobacteria. <italic>Anaerolineaceae</italic>, a family of Chloroflexi, widely distributed in anaerobic environments (e.g., sediments, wetlands, and wastewater systems) and demonstrated significant PAH degradation potential (<xref ref-type="bibr" rid="ref7">Cheng et al., 2024</xref>). Within &#x03B4;-Proteobacteria, the genus <italic>Desulfobulbus</italic> exhibited hydrocarbon degradation capacity under anaerobic conditions. Both <italic>Anaerolineaceae</italic> and <italic>Desulfuromonadales</italic> were closely associated with coupled carbon cycling and iron reduction processes across sediment layers, playing pivotal roles in organic matter mineralization (<xref ref-type="bibr" rid="ref9">Coates et al., 2001</xref>). Previous studies indicated that <italic>Desulfobulbus</italic> and certain members of these groups are classified as sulfate-reducing bacteria (SRB), primarily resulting from anthropogenic activities (<xref ref-type="bibr" rid="ref8">Cleary et al., 2012</xref>). Additionally, the class encompassing the majority of sulfate-reducing genera plays a vital role in the anaerobic breakdown of organic matter and is involved in the degradation of PAHs in sediments (<xref ref-type="bibr" rid="ref1">Acosta-Gonzalez et al., 2013</xref>). <xref ref-type="bibr" rid="ref47">Yan et al. (2018)</xref> denoted these species whose niche space might be relatively complementary, could respond to anthropogenic disturbances in the co-occurrence networks.</p>
<p>The co-occurrence of contaminants (e.g., PAHs) and key elements (e.g., C, N, P, and S) in sediments exerts complex influences on microbial community composition and function (<xref ref-type="bibr" rid="ref48">Yang et al., 2020</xref>). RDA identified TOC, sulfur, TN, TP, and PAHs as key determinants shaping bacterial community structure. Notably, <xref ref-type="bibr" rid="ref45">Xu et al. (2014)</xref> demonstrated that the coexistence of sulfur, nitrate and PAHs can enhance the abundance of functional genes in nitrate-reducing, sulfide-oxidizing bacteria and PAH-degrading microorganisms. Although PAHs are classified as persistent organic pollutants, they can also serve as carbon substrates for microbial metabolism (<xref ref-type="bibr" rid="ref7">Cheng et al., 2024</xref>), potentially explaining the observed positive correlations between PAH concentrations and the relative abundance of certain microbial genera. Previous studies have well established the critical roles of carbon and phosphorus in governing microbial community structure (<xref ref-type="bibr" rid="ref51">Zhang et al., 2023</xref>). <xref ref-type="bibr" rid="ref24">Liu et al. (2021)</xref> further reported that elevated PAH levels, coupled with nitrogen and phosphorus enrichment in heavily polluted black-odor river sediments, may stimulate the growth of specific bacterial taxa and enrich functional genes associated with PAH degradation (nah, nidA) and sulfur reduction (dsrA). Additionally, <xref ref-type="bibr" rid="ref9001">Lapointe et al. (2005)</xref> have previously shown that sewage inputs are a primary source of nitrogen to marine harbor environments, while some sampling sites just located in the downstream area of the sewage discharge outlet. Such anthropogenic inputs can alter nitrogen and carbon cycling, thereby modulating the microbial community&#x2019;s capacity to degrade pollutants (<xref ref-type="bibr" rid="ref3">Atlas and Bartha, 1972</xref>; <xref ref-type="bibr" rid="ref29">Murphy et al., 2016</xref>).</p>
<p>Elevated concentrations of PAHs in sedimentary pose significant ecological risks, potentially altering microbial community structure and impairing key biogeochemical cycling processes of carbon, nitrogen, phosphorus, and sulfur (<xref ref-type="bibr" rid="ref45">Xu et al., 2014</xref>; <xref ref-type="bibr" rid="ref35">Qian et al., 2021</xref>). However, current limitations in sequencing-based functional characterization hinder comprehensive understanding of microbial metabolic pathways, environmental adaptation mechanisms, and ecological roles under PAHs stress. Further investigations are warranted to elucidate these functional aspects at molecular level.</p>
</sec>
<sec sec-type="conclusions" id="sec13">
<label>5</label>
<title>Conclusion</title>
<p>The present research provides a thorough assessment of the levels and ecological risks associated with PAHs, as well as an analysis of the community structure in sediments gathered from estuaries in offshore regions. The total PAH concentration in the sediment samples varied between 0.691&#x202F;mg/kg and 25.083&#x202F;mg/kg, and the TEQ<sub>BaP</sub> values at each sample varied between 0.057 and 1.86&#x202F;mg/kg, with approximately 30% of the sites surpassing ISQGs of the established standard. The greatest concentration of PAHs and associated health risks were identified at sewage outflow sites, with the highest cancer risk of PAHs were 2.41&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup>, 1.98&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup>, 3.04&#x202F;&#x00D7;&#x202F;10<sup>&#x2212;5</sup> for children, adolescents and adults, respectively. A comprehensive bacterial community was identified through phylogenetic analyzes, with the predominant groups being proteobacteria, bacteroidetes, and chloroflexi. PAH concentrations, in conjunction with sediment nutrient and geochemical parameters, were identified as key determinants shaping microbial community composition.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec14">
<title>Data availability statement</title>
<p>The DNA sequencing data presented in this study is available in the National Genomics Data Center (NGDC) Genome Sequence Archive (GSA) under accession number CRA029532, <ext-link xlink:href="https://ngdc.cncb.ac.cn/gsa/" ext-link-type="uri">https://ngdc.cncb.ac.cn/gsa/</ext-link>.</p>
</sec>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>ML: Writing &#x2013; original draft, Funding acquisition, Conceptualization, Writing &#x2013; review &#x0026; editing. YY: Investigation, Data curation, Writing &#x2013; review &#x0026; editing. YL: Software, Data curation, Writing &#x2013; review &#x0026; editing. XY: Conceptualization, Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec16">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was financially supported by the National natural science funding of China (U24A20621), the Program of Education Department of Liaoning Province (LJ212510144005), and the Applied Basic Research Program of Liaoning (2025JH2/101330020).</p>
</sec>
<sec sec-type="COI-statement" id="sec17">
<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 sec-type="ai-statement" id="sec18">
<title>Generative AI statement</title>
<p>The authors declare that no Gen 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 sec-type="disclaimer" id="sec19">
<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 sec-type="supplementary-material" id="sec20">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmicb.2025.1657904/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmicb.2025.1657904/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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