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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2023.1236777</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Genetic characteristics, antimicrobial susceptibility, and virulence genes distribution of <italic>Campylobacter</italic> isolated from local dual-purpose chickens in central China</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xiao</surname>
<given-names>Jia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Yiluo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wenting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lu</surname>
<given-names>Qin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Yunqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2276555"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Qiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wen</surname>
<given-names>Guoyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1714155"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shao</surname>
<given-names>Huabin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/468347"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Luo</surname>
<given-names>Qingping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Tengfei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/702132"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Key Laboratory of Prevention and Control Agents for Animal Bacteriosis (Ministry of Agriculture and Rural Affairs), Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Hubei Provincial Key Laboratory of Animal Pathogenic Microbiology, Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences, Hubei Hongshan Laboratory</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Elvira Garza Gonz&#xe1;lez, Autonomous University of Nuevo Le&#xf3;n, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Marja-Liisa H&#xe4;nninen, University of Helsinki, Finland; Leonardo Gabriel Panunzi, CEA Saclay, France</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Tengfei Zhang, <email xlink:href="mailto:tfzhang23@163.com">tfzhang23@163.com</email>; Qingping Luo, <email xlink:href="mailto:qingping0523@163.com">qingping0523@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>07</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1236777</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>18</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Xiao, Cheng, Zhang, Lu, Guo, Hu, Wen, Shao, Luo and Zhang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Xiao, Cheng, Zhang, Lu, Guo, Hu, Wen, Shao, Luo and Zhang</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>Food-borne antibiotic-resistant <italic>Campylobacter</italic> poses a serious threat to public health. To understand the prevalence and genetic characteristics of <italic>Campylobacter</italic> in Chinese local dual-purpose (meat and eggs) chickens, the genomes of 30 <italic>Campylobacter</italic> isolates, including 13&#xa0;C<italic>. jejuni</italic> and 17&#xa0;C<italic>. coli</italic> from Jianghan-chickens in central China, were sequenced and tested for antibiotic susceptibility. The results showed that CC-354 and CC-828 were the dominant clonal complexes of <italic>C. jejuni</italic> and <italic>C. coli</italic>, respectively, and a phylogenetic analysis showed that three unclassified multilocus sequence types of <italic>C. coli</italic> were more closely genetically related to <italic>C. jejuni</italic> than to other <italic>C. coli</italic> in this study. Of the six antibiotics tested, the highest resistance rates were to ciprofloxacin and tetracycline (100%), followed by lincomycin (63.3%), erythromycin (30.0%), amikacin (26.7%), and cefotaxime (20.0%). The antibiotic resistance rate of <italic>C. coli</italic> was higher than that of <italic>C. jejuni</italic>. The GyrA T86I mutation and 15 acquired resistance genes were detected with whole-genome sequencing (WGS). Among those, the GyrA T86I mutation and <italic>tet(O)</italic> were most prevalent (both 96.7%), followed by the <italic>blaOXA</italic>-type gene (90.0%), <italic>ant(6)-Ia</italic> (26.7%), <italic>aac(6&#x2019;)-aph(3&#x2019;&#x2019;)</italic> (23.3%), <italic>erm</italic>(B) (13.3%), and other genes (3.3%). The ciprofloxacin and tetracycline resistance phenotypes correlated strongly with the GyrA T86I mutation and <italic>tet(O)</italic>/<italic>tet(L)</italic>, respectively, but for other antibiotics, the correlation between genes and resistance phenotypes were weak, indicating that there may be resistance mechanisms other than the resistance genes detected in this study. Virulence gene analysis showed that several genes related to adhesion, colonization, and invasion (including <italic>cadF</italic>, <italic>porA</italic>, <italic>ciaB</italic>, and <italic>jlpA</italic>) and cytolethal distending toxin (<italic>cdtABC</italic>) were only present in <italic>C. jejuni</italic>. Overall, this study extends our knowledge of the epidemiology and antibiotic resistance of <italic>Campylobacter</italic> in local Chinese dual-purpose chickens.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Campylobacter</italic>
</kwd>
<kwd>antibiotic resistance</kwd>
<kwd>whole-genome sequencing</kwd>
<kwd>antibiotic-resistance gene</kwd>
<kwd>virulence factor</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="12"/>
<word-count count="5971"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Antibiotic Resistance and New Antimicrobial drugs</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>According to the report of the World Health Organization (WHO), food-borne diseases, ranging from diarrhea to cancer, are a major cause of human morbidity and mortality and affect one in 10 people worldwide every year (<xref ref-type="bibr" rid="B67">WHO, 2022</xref>). Campylobacteriosis is one of the most frequently reported food-borne diseases throughout the world (<xref ref-type="bibr" rid="B12">EFSA BIOHAZ Panel [EFSA Panel on Biological Hazards] et al., 2020</xref>). The acute infectious diarrhea caused by <italic>Campylobacter</italic> is mainly treated with antibiotics, such as fluoroquinolones and macrolides (<xref ref-type="bibr" rid="B48">Pham et&#xa0;al., 2016</xref>). However, the use of antibiotics in both human treatments and animal breeding hisolated from poultry meat samples.as caused antimicrobial resistance in <italic>Campylobacter</italic> to become an increasingly serious problem, and has posed a serious threat to public health over the past two decades (<xref ref-type="bibr" rid="B35">Luangtongkum et&#xa0;al., 2009</xref>). In 2017, fluoroquinolone-resistant <italic>Campylobacter</italic> was listed as one of the six high-priority antimicrobial-resistant pathogens by WHO (<xref ref-type="bibr" rid="B53">Romanescu et al., 2023</xref>). In China, bacterial antibiotic resistance monitoring data show that <italic>Campylobacter</italic> has maintained a high level of resistance to ciprofloxacin (&gt; 90%) in various regions, (<xref ref-type="bibr" rid="B32">Li et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B62">Wang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B29">Ju et&#xa0;al., 2018</xref>).</p>
<p>Poultry is the most important natural host of <italic>Campylobacter</italic>. In the European Union, the average prevalence of <italic>Campylobacter</italic> in birds and contaminated broiler carcasses is 71.2% and 75.8%, respectively (<xref ref-type="bibr" rid="B58">Soro et&#xa0;al., 2020</xref>), and more than 90% of commercial laying hens are colonized with <italic>Campylobacter</italic> (<xref ref-type="bibr" rid="B28">Jones et&#xa0;al., 2016</xref>). The breed of chicken is directly related to <italic>Campylobacter</italic> infection. Brena (<xref ref-type="bibr" rid="B5">Brena, 2013</xref>) reported that chickens reared indoors under higher welfare standards with decreased stocking density, the prevalence of <italic>Campylobacter</italic> was lower in a slower-growing breed (Hubbard JA57) than in a standard fast-growing breed (Ross 308). However, Humphrey et&#xa0;al. (<xref ref-type="bibr" rid="B25">Humphrey et&#xa0;al., 2014</xref>) demonstrated no intrinsic difference in the susceptibility of broiler breeds to <italic>C. jejuni</italic> under their experimental conditions.</p>
<p>China has many indigenous poultry resources, and many local chickens are dual-purpose (meat&#x2013;egg) producers, with a longer growth cycle than broiler chickens. In general, traditional commercial broilers, such as AA broiler, Ross 308, are slaughtered in about 42 days (<xref ref-type="bibr" rid="B15">Fortuoso et&#xa0;al., 2019</xref>). However, some of the Chinese local chickens, such as Jianghan-chickens, usually start laying eggs at 140-150 days and then are slaughtered as food around 300 days. The life cycle of this type of production differs from that of commercial chickens, which may make the ecology (including antibiotic resistance) of <italic>Campylobacter</italic> different in production cycle. Previous studies have reported that under the same breeding conditions, the Huainan partridge chicken had a lower rate of <italic>Campylobacter</italic> infection than Heihua chickens or Ni-ke hon chickens, but a higher rate than AA+ chickens (<xref ref-type="bibr" rid="B24">Huang et&#xa0;al., 2009</xref>). Bai et&#xa0;al. (<xref ref-type="bibr" rid="B4">Bai et&#xa0;al., 2021</xref>) found that the isolation rate of <italic>Campylobacter</italic> was lower in slaughterhouses processing yellow feather broilers (14.2%) than in those processing white feather broilers or turkeys (from 26.3 to 100%). However, there are still few data on the prevalence of <italic>Campylobacter</italic> in local chickens in China.</p>
<p>The prevalence of antibiotic-resistant <italic>Campylobacter</italic> in poultry also cannot be ignored. Bacteria usually acquire antimicrobial resistance (AMR) by two main pathways. One involves chromosomal mutations at the target sites of antibiotic action, such as the point mutation in the <italic>gyrA</italic> gene that causes resistance to fluoroquinolone antibiotics (<xref ref-type="bibr" rid="B27">Iovine, 2013</xref>). The second involves the horizontal gene transfer of mobile genetic elements that contain resistance genes (<xref ref-type="bibr" rid="B2">Aksomaitiene et&#xa0;al., 2021</xref>). In the past few years, antibiotic-resistant <italic>Campylobacter</italic> in chicken house environment, eggshell, carcasses, poultry production, and the processing chain have been reported in many countries (<xref ref-type="bibr" rid="B40">Modirrousta et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B60">Tang et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B20">Habib et&#xa0;al., 2023</xref>). Although several studies have detected antimicrobial-resistant <italic>Campylobacter</italic> in dual-purpose chickens (<xref ref-type="bibr" rid="B16">Foster-Nyarko et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B39">Metreveli et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B51">Rangaraju et&#xa0;al., 2022</xref>), Jianghan-chicken is a unique resource, which distributed in Central China. At present, the research on Jianghan-chicken is mainly focused on the eradication of <italic>Salmonella</italic> pullorum and avian leukosis, the overall resistance and virulence of <italic>Campylobacter</italic> in this chicken are unclear. Notably, the prevalence of <italic>Campylobacter</italic>, the generation and spread of its antibiotic resistance, and the complexity of its pathogenesis are probably related to the diversity of the <italic>Campylobacter</italic> genome. Many virulence genes have undergone expansion or contraction in specific lineages, resulting in differences in the content of virulence genes and ultimately leading to the specificity of their pathogenicity (<xref ref-type="bibr" rid="B76">Zhong et&#xa0;al., 2022</xref>). Fortunately, DNA sequencing technologies provide efficient methods with which to understand the antibiotic-resistance and pathogenic mechanisms of <italic>Campylobacter</italic>.</p>
<p>In this study, we investigated the genetic diversity, antibiotic resistance, and the distributions of the resistance and virulence genes of <italic>Campylobacter</italic> in local dual-purpose Jianghan-chickens in four regions of central China. We also used whole-genome sequencing (WGS) to evaluate the genetic diversity of <italic>Campylobacter</italic> and the phenotypic and genetic determinants associated with its intrinsic resistance. This data from this study extends our understanding of the prevalence and genomic characteristics of food-borne <italic>Campylobacter</italic> in local chickens in China.</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>Bacterial isolates and culture conditions</title>
<p>In this study, 30 <italic>Campylobacter</italic> isolates were isolated from 312 samples collected from eight chicken farms breeding local dual-purpose (meat&#x2013;egg) chickens in four regions of central China in 2022 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). Freshly collected cloacal swabs were stored in Cary&#x2013;Blair Modified Transport Medium (Amresco, Englewood, USA) and transported to the laboratory at 4&#xb0;C for <italic>Campylobacter</italic> isolation. The samples were pre-enriched in Bolton broth containing <italic>Campylobacter</italic> growth supplement (Oxoid, Basingstoke, UK) and <italic>Campylobacter</italic> Bolton broth selective supplement (Oxoid), and cultured at 42&#xb0;C for 24&#xa0;h under microaerobic conditions (5% O<sub>2</sub>, 10% CO<sub>2</sub>, and 85% N<sub>2</sub>). Subsequently, 100 &#xb5;l cultures were inoculated on modified charcoal cefoperazone deoxycholate agar (mCCDA, Oxoid) plates containing <italic>Campylobacter</italic> CCDA selective supplements at 42&#xb0;C under microaerobic condition for 48&#xa0;h. Suspected positive colonies were identified with Gram staining and 16S rDNA PCR (<xref ref-type="bibr" rid="B33">Linton et&#xa0;al., 1997</xref>). All isolates were identified with PCR targeting the <italic>C. jejuni</italic>-specific <italic>hipO</italic> gene and the <italic>C. coli</italic>-specific <italic>asp</italic> gene (<xref ref-type="bibr" rid="B31">Lawson et&#xa0;al., 1998</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Antimicrobial sensitivity testing</title>
<p>All isolates were tested for antimicrobial susceptibility to ciprofloxacin, tetracycline, cefotaxime, amikacin, erythromycin, and lincomycin with the disk diffusion method on Mueller Hinton Agar (Oxoid), according to the Clinical and Laboratory Standards Institute (CLSI) guidelines (<xref ref-type="bibr" rid="B26">Igwaran and Okoh, 2020</xref>). When the isolates were resistant to at least three different types of antibiotics, they were considered multidrug resistant (MDR). <italic>Escherichia coli</italic> ATCC 25922 was used as a quality control strain.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Whole-genome sequencing and analysis</title>
<p>The genomic DNA of the <italic>Campylobacter</italic> species was extracted with the TIANamp Bacteria DNA Kit (Tiangen, Beijing, China). The purity and concentration of the genomic DNA were determined by NanoDrop&#x2122; One sectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). Genomic DNA (5 &#x3bc;g; OD<sub>260/280&#xa0;=&#xa0;</sub>1.8&#x2013;2.0) was used for library construction. The Illumina NovaSeq 6000 sequencing platform (MajorBio Co., Shanghai, China) was used to sequence those libraries with a 2&#x2009;&#xd7;&#x2009;150-bp read length. The raw reads obtained after sequencing were filtered with the fastp software (version 0.19.6) (<xref ref-type="bibr" rid="B8">Chen et&#xa0;al., 2018</xref>) and clean reads were obtained after the adapter sequences and low-quality sequences (Q &lt; 20) were removed. The clean reads were then assembled with SOAPdenovo version 2.04 (<xref ref-type="bibr" rid="B36">Luo et&#xa0;al., 2012</xref>). The assembled contigs were uploaded to PubMLST (<ext-link ext-link-type="uri" xlink:href="https://pubmlst.org/Campylobacter/">https://pubmlst.org/Campylobacter/</ext-link>) to determine their multilocus sequence types (STs) and clonal complexes (CCs). The phylogenetic tree and SNP count matrix heat map based on SNP analysis was obtained by using the online tool &#x201c;multiple genome analysis&#x201d; provided by BacWGSTdb 2.0 (<ext-link ext-link-type="uri" xlink:href="http://bacdb.cn/BacWGSTdb/">http://bacdb.cn/BacWGSTdb/</ext-link>). RM1221_CP000025, which had abundant studies on its genome (<xref ref-type="bibr" rid="B47">Parker et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B42">Neal-McKinney et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B59">St. Charles et&#xa0;al., 2022</xref>), was selected as reference genome in BacWGSTdb tool and the construction of the phylogenetic tree in this tool relies on Neighbor-Joining (NJ) algorithm (<xref ref-type="bibr" rid="B14">Feng et&#xa0;al., 2021</xref>). The virulence genes were predicted based on the Virulence Factor Database (VFDB; <ext-link ext-link-type="uri" xlink:href="http://www.mgc.ac.cn/VFs/">http://www.mgc.ac.cn/VFs/</ext-link>). The tool ResFinder v.4.1 was used to detect acquired AMR genes and point mutations in specific genes conferring AMR; 90% minimum percentage identity and 60% minimum length coverage were used as the selection criteria. The sequence of the regulatory region of the <italic>cmeABC</italic> promoter (CmeR-Box) which is a 16-base inverted repeat sequence [TGTAATA (or T) TTTATTACA] (<xref ref-type="bibr" rid="B9">Cheng et&#xa0;al., 2020</xref>) and the amino acid sequence of CmeR were obtained by comparing the sequence alignment through BLAST (<ext-link ext-link-type="uri" xlink:href="https://blast.ncbi.nlm.nih.gov/Blast.cgi">https://blast.ncbi.nlm.nih.gov/Blast.cgi</ext-link>). RAST Server (Rapid Annotation using Subsystem Technology) was used for Genome annotation of the assembled genome of multi-drug resistant <italic>Campylobacter spp</italic>, and the annotation scheme was ClassicRAST (<ext-link ext-link-type="uri" xlink:href="http://rast.theseed.org/FIG/rast.cgi">http://rast.theseed.org/FIG/rast.cgi</ext-link>). Antibiotic resistance gene were also analyzed by Mobile Element Finder (<ext-link ext-link-type="uri" xlink:href="https://cge.food.dtu.dk/services/MobileElementFinder/">https://cge.food.dtu.dk/services/MobileElementFinder/</ext-link>), and SnapGene&#xae; 2.3.2 was used to visualize gene arrangement.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Correlation analysis of susceptibility phenotypes and genotypes</title>
<p>The possible link between the <italic>Campylobacter</italic> resistance phenotype and the genotype predicted with WGS was analyzed by manually comparing the susceptibility test results (resistance or susceptibility) with the presence of known corresponding resistance genes and/or specific mutations. The percentage correlation between the resistance phenotype and genotype was calculated as the sum of true positives and true negatives divided by all the isolates tested. The positive predictive value was calculated by dividing the true positives by the sum of the true positives and false negatives, and the negative predictive value was calculated by dividing the true negatives by the sum of the true negatives and false positives. Sensitivity was calculated by dividing the true positives by the sum of the true positives and false positives, and specificity was calculated by dividing the true negatives by the sum of the true negatives and false negatives (<xref ref-type="bibr" rid="B23">Hodges et&#xa0;al., 2021</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>Genetic diversity analysis</title>
<p>Among the 30 <italic>Campylobacter</italic> isolates (13&#xa0;C<italic>. jejuni</italic> and 17&#xa0;C<italic>. coli</italic>) sequenced, nine sequence types (STs) in five clonal complexes (CC) based on multilocus sequence typing (MLST) were identified. Three <italic>C. coli</italic> and one <italic>C. jejuni</italic> isolates were not assigned an ST. ST8724 and ST2328 were not defined as a CC (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>). The dominant ST for <italic>C. jejuni</italic> was ST354 (53.8%, 7/13), and the other isolates belonged to ST7469, ST8724, ST43, ST3924, or ST2328 (each 7.6%, 1/13). CC-354 was the dominant CC among the <italic>C. jejuni</italic> isolates. Among the <italic>C. coli</italic> isolates, ST825 was the most frequent ST (52.9%, 9/17), followed by ST872 (23.5%, 4/17) and ST1586 (5.9%, 1/17), and all of these assigned STs belonged to CC-828.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Genetic relationships, antimicrobial-resistance phenotypes, and the distributions of resistance- and virulence-related genes determined in this study. The phylogenetic tree was constructed based on genomic single-nucleotide polymorphisms, and the reference genome was RM1221_CP000025. The genetic determinants of antibiotic resistance are grouped according to their corresponding antibiotic categories and are color coded. The isolates were divided into 4 branches of the tree and distinguished by different colors: yellow (branch 1), gray (branch 2), green (branch 3), red (branch 4). CIP, ciprofloxacin; TET, tetracycline; CTX, cefotaxime; AK, amikacin; ERY, erythromycin; LC, lincomycin. *Point mutation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1236777-g001.tif"/>
</fig>
<p>SNP analysis was further carried out, and we found that there was a certain genetic diversity among these isolates, and these differences involved SNP differences vary greatly, from a few to thousands (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). All the isolates can be cluster to four main branches of the phylogenetic tree (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Branches 1 and 2 contained the major clonal complex CC-828 of <italic>C. coli</italic>, and branch 3 contained the main clonal complex (CC-354) of <italic>C. jejuni</italic>. Interestingly, branch 4, which contained the three <italic>C. coli</italic> isolates with unassigned STs, clustered with the larger branch containing <italic>C. jejuni</italic>.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Antimicrobial susceptibility</title>
<p>All the isolates were tested for susceptibility to six antibiotics. As shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, all showed resistance to ciprofloxacin and tetracycline (100% in both <italic>C. jejuni</italic> and <italic>C. coli</italic>). More than half the isolates were resistant to lincomycin (61.5% of <italic>C. jejuni</italic> and 64.7% of <italic>C. coli</italic>). The resistance rates of <italic>Campylobacter</italic> to erythromycin, amikacin, and cefotaxime were 30.0%, 26.7%, and 20.0%, respectively. The resistance rate of <italic>C. coli</italic> to erythromycin was 41.2%, which was more than twice that of <italic>C. jejuni</italic> (15.4%). The data showed similar trends for amikacin (35.3% in <italic>C. coli</italic> and 15.4% in <italic>C. jejuni</italic>). Among the 30 isolates, 22 were resistant to three or more classes of antimicrobial agents, and the most prevalent pattern of MDR was resistance to ciprofloxacin, tetracycline, and lincomycin (45.5%, 10/22) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Resistance rates of tested <italic>Campylobacter</italic> isolates to six antibiotics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Antibiotic category</th>
<th valign="middle" rowspan="2" align="center">Antimicrobial Agent<sup>a</sup>
</th>
<th valign="middle" colspan="2" align="center">
<italic>C. jejuni</italic> (n=13)</th>
<th valign="middle" colspan="2" align="center">
<italic>C. coli</italic> (n=17)</th>
<th valign="middle" colspan="2" align="center">Total (n=30)</th>
</tr>
<tr>
<th valign="middle" align="center">No. of resistant isolates<sup>b</sup>
</th>
<th valign="middle" align="center">Resistance rates (%)</th>
<th valign="middle" align="center">No. of resistant isolates<sup>b</sup>
</th>
<th valign="middle" align="center">Resistance rates (%)</th>
<th valign="middle" align="center">No. of resistant isolates<sup>b</sup>
</th>
<th valign="middle" align="center">Resistance rates (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Fluoroquinolones</td>
<td valign="middle" align="center">CIP</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">100.0%</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">100.0%</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">100.0%</td>
</tr>
<tr>
<td valign="middle" align="center">Tetracycline class</td>
<td valign="middle" align="center">TET</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">100.0%</td>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">100.0%</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">100.0%</td>
</tr>
<tr>
<td valign="middle" align="center">&#x3b2;-lactams</td>
<td valign="middle" align="center">CTX</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">15.4%</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">23.5%</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">20.0%</td>
</tr>
<tr>
<td valign="middle" align="center">Aminoglycosides</td>
<td valign="middle" align="center">AK</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">15.4%</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">35.3%</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">26.7%</td>
</tr>
<tr>
<td valign="middle" align="center">Macrolides</td>
<td valign="middle" align="center">ERY</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">15.4%</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">41.2%</td>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">30.0%</td>
</tr>
<tr>
<td valign="middle" align="center">Lincosamides</td>
<td valign="middle" align="center">LC</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">61.5%</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">64.7%</td>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">63.3%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>CIP, Ciprofloxacin; TET, Tetracycline; CTX, Cefotaxime; AK, Amikacin; ERY, Erythromycin; LC, Lincomycin. <sup>b</sup>Resistant isolates contain resistance and intermediate resistance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Antibiotic resistance genes and resistance mutations</title>
<p>In this study, a C257T chromosomal point mutation in the <italic>gyrA</italic> gene, which conferring the Thr-86-Ile substitution, and 15 acquired resistance genes were identified by genome-wide analysis. <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;3</bold>
</xref> show the distributions of the genetic determinants of resistance detected in each isolate with WGS.</p>
<p>Of all the isolates tested, 96.7% (29/30) carried the <italic>gyrA</italic> gene point mutation (C257T) along with a ciprofloxacin resistance phenotype. The correlation analysis of resistance phenotype and genotype showed that the <italic>gyrA</italic> C257T mutation correlated strongly with ciprofloxacin resistance (100% in <italic>C. coli</italic> and 92.3% in <italic>C. jejuni</italic>) (<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>Correlation analysis of antibiotic resistance phenotype and antibiotic resistance determinants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Antibiotic class</th>
<th valign="middle" align="center">Antibiotic(s) tested by AST</th>
<th valign="middle" align="center">Strains</th>
<th valign="middle" align="center">Phenotype</th>
<th valign="middle" align="center">No. of isolates</th>
<th valign="middle" align="center">Resistance gene(s) or mutation(s) corresponding to resistance phenotype</th>
<th valign="middle" align="center">No. with<break/>AMR gene<break/>present</th>
<th valign="middle" align="center">Correlation between genotype and phenotype</th>
<th valign="middle" align="center">Positive predictive values</th>
<th valign="middle" align="center">Negative predictive value</th>
<th valign="middle" align="center">Sensitivity</th>
<th valign="middle" align="center">Specificity</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="4" align="center">Fluoroquinolones</td>
<td valign="middle" rowspan="4" align="center">CIP</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">17</td>
<td valign="middle" rowspan="2" align="center">GyrA_2p.T86I</td>
<td valign="middle" align="center">17</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">13</td>
<td valign="middle" rowspan="2" align="center">GyrA T86I</td>
<td valign="middle" align="center">12</td>
<td valign="middle" rowspan="2" align="center">92.3%</td>
<td valign="middle" rowspan="2" align="center">92.3%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">0.0%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Tetracycline class</td>
<td valign="middle" rowspan="4" align="center">TE</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">17</td>
<td valign="middle" rowspan="2" align="center">tet(O)</td>
<td valign="middle" align="center">17</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">13</td>
<td valign="middle" rowspan="2" align="center">tet(O); tet(L)</td>
<td valign="middle" align="center">12</td>
<td valign="middle" rowspan="2" align="center">92.3%</td>
<td valign="middle" rowspan="2" align="center">92.3%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">0.0%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">&#x3b2;-lactams</td>
<td valign="middle" rowspan="4" align="center">CTX</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">4</td>
<td valign="middle" rowspan="2" align="center">blaOXA-489; blaOXA-193</td>
<td valign="middle" align="center">4</td>
<td valign="middle" rowspan="2" align="center">41.2%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">23.1%</td>
<td valign="middle" rowspan="2" align="center">28.6%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">10</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">blaOXA-465; blaOXA-460; blaOXA-193;</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">15.4%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">0.0%</td>
<td valign="middle" rowspan="2" align="center">15.4%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">11</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Aminoglycosides</td>
<td valign="middle" rowspan="4" align="center">AK</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">6</td>
<td valign="middle" rowspan="2" align="center">ant(6)-Ia; aac(6&#x2019;)-aph(2&#x2019;&#x2019;); aadE-Cc</td>
<td valign="middle" align="center">4</td>
<td valign="middle" rowspan="2" align="center">64.7%</td>
<td valign="middle" rowspan="2" align="center">66.7%</td>
<td valign="middle" rowspan="2" align="center">63.6%</td>
<td valign="middle" rowspan="2" align="center">50.0%</td>
<td valign="middle" rowspan="2" align="center">77.8%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">4</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">aph(2&#x2019;&#x2019;)-If; aph(3&#x2019;)-III; ant(6)-Ia;ant(9)</td>
<td valign="middle" align="center">1</td>
<td valign="middle" rowspan="2" align="center">92.3%</td>
<td valign="middle" rowspan="2" align="center">50.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">91.7%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Macrolides</td>
<td valign="middle" rowspan="4" align="center">ERY</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">7</td>
<td valign="middle" rowspan="2" align="center">erm(B)</td>
<td valign="middle" align="center">3</td>
<td valign="middle" rowspan="2" align="center">70.6%</td>
<td valign="middle" rowspan="2" align="center">42.9%</td>
<td valign="middle" rowspan="2" align="center">90.0%</td>
<td valign="middle" rowspan="2" align="center">75.0%</td>
<td valign="middle" rowspan="2" align="center">69.2%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">2</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" align="center">0</td>
<td valign="middle" rowspan="2" align="center">84.6%</td>
<td valign="middle" rowspan="2" align="center">0.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">84.6%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" rowspan="4" align="center">Lincosamides</td>
<td valign="middle" rowspan="4" align="center">LC</td>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">11</td>
<td valign="middle" rowspan="2" align="center">erm(B)</td>
<td valign="middle" align="center">3</td>
<td valign="middle" rowspan="2" align="center">47.1%</td>
<td valign="middle" rowspan="2" align="center">27.3%</td>
<td valign="middle" rowspan="2" align="center">83.3%</td>
<td valign="middle" rowspan="2" align="center">75.0%</td>
<td valign="middle" rowspan="2" align="center">38.5%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">1</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">R/IR</td>
<td valign="middle" align="center">8</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" align="center">0</td>
<td valign="middle" rowspan="2" align="center">38.5%</td>
<td valign="middle" rowspan="2" align="center">0.0%</td>
<td valign="middle" rowspan="2" align="center">100.0%</td>
<td valign="middle" rowspan="2" align="center">&#x2013;</td>
<td valign="middle" rowspan="2" align="center">38.5%</td>
</tr>
<tr>
<td valign="middle" align="center">S</td>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>R, resistance; IR, intermediate resistance; S, sensitive.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Most of the isolates (96.7%, 29/30) contained the <italic>tet(O)</italic> gene, and one <italic>C. jejuni</italic> strain carried <italic>tet(L)</italic> (3.3%, 1/30). All isolates showed tetracycline resistance. The correlation between the tetracycline resistance phenotype and the resistance gene <italic>tet</italic>(<italic>O</italic>) or <italic>tet(L</italic>) was 100% in <italic>C. coli</italic> and 92.3% in <italic>C. jejuni</italic>.</p>
<p>The <italic>blaOXA</italic>-type &#x3b2;-lactamase-encoding gene was identified in 27 strains (90%, 27/30). And 22.2% (6/27) of isolates were resistant to cefotaxime.</p>
<p>Six aminoglycoside antibiotic resistance genes were detected in our isolates: <italic>ant(6)-Ia</italic> (26.7%, 8/30), <italic>aac(6&#x2019;)-aph(3&#x2019;&#x2019;)</italic> (23.3%, 7/30), <italic>aph(3&#x2019;)-III</italic> (3.3%, 1/30), <italic>aph(2&#x2019;&#x2019;)-If</italic> (3.3%, 1/30), <italic>ant(9)</italic> (3.3%, 1/30), and <italic>aadE-Cc</italic> (3.3%, 1/30). In this study, these genes mainly occurred in pairs, such as <italic>ant(6)-Ia</italic> and <italic>aac(6&#x2019;)-aph(3&#x2019;&#x2019;)</italic>, in <italic>C. coli</italic> (23.3%, 7/30). These resistance gene combinations did not correlate strongly with the amikacin resistance phenotypic in <italic>C. coli</italic> (64.7%), but did correlate strongly with it in <italic>C. jejuni</italic> (92.3%).</p>
<p>The erythromycin and lincomycin resistance gene <italic>erm</italic>(B) was only identified in four <italic>C. coli</italic> isolates (13.3%, 4/30). The correlation between <italic>erm</italic>(B) and the erythromycin or lincomycin resistance phenotype was not strong (70.6% or 47.1%, respectively, in <italic>C. coli</italic>; and 84.6% or 38.5%, respectively, in <italic>C. jejuni</italic>). Further analysis of the isolates for point mutations in 23S rRNA revealed eight mutations in total (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;4</bold>
</xref>), although neither the A2075G nor A2074C/G mutation, which reportedly cause erythromycin resistance, was detected.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>CmeR-Box polymorphisms</title>
<p>A CmeR-Box polymorphism analysis of all isolates (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) detected six CmeR-Box variants in 28 isolates. Among these, point substitutions were most common (96.4%), involving 17&#xa0;C<italic>. coli</italic> and 10&#xa0;C<italic>. jejuni</italic> isolates, whereas only one <italic>C. jejuni</italic> isolate (3.6%) had a point deletion, and no point insertion was detected in the CmeR-Box.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>CmeR-Box polymorphisms in <italic>C. jejuni</italic> and <italic>C. coli</italic> isolates.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">CmeR-Box polymorphisms<sup>a</sup>
</th>
<th valign="middle" align="center">No. of isolates</th>
<th valign="middle" align="center">% of isolates</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="5" align="center">
<italic>C. jejuni</italic>
</td>
<td valign="middle" align="center">TGTAATAAAAATTA<underline>T</underline>A</td>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">20.0%</td>
</tr>
<tr>
<td valign="middle" align="center">TGTAATAAA<underline>T</underline>ATTA<underline>T</underline>A</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">10.0%</td>
</tr>
<tr>
<td valign="middle" align="center">TGT<underline>G</underline>ATAAAAATTACA</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">3.3%</td>
</tr>
<tr>
<td valign="middle" align="center">TGTAATAAA-ATTACA</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">3.3%</td>
</tr>
<tr>
<td valign="top" align="center">TGTAATAAAAATTACA</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.7%</td>
</tr>
<tr>
<td valign="middle" rowspan="2" align="center">
<italic>C. coli</italic>
</td>
<td valign="middle" align="center">TGTAATAAA<underline>T</underline>ATTACA</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">53.3%</td>
</tr>
<tr>
<td valign="middle" align="center">TGTAATAAA<underline>T</underline>ATT<underline>G</underline>CA</td>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">3.3%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>underline means point substitution, &#x201c;-&#x201d; means point deletion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Genetic environment analysis of antibiotic resistance gene clusters in an MDR <italic>C. jejuni</italic> isolate</title>
<p>We analyzed the genetic environments of the resistance genes in <italic>C. jejuni</italic> JZ02, which was resistant to all of six antibiotics tested. Two antibiotic resistance gene clusters were detected (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Gene cluster 1 contained the <italic>tet(O)</italic>, <italic>tet(L)</italic>, and <italic>cat</italic> (pC194) genes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). A transposase was encoded upstream from the <italic>tet(L)</italic> gene, and a 39-bp repeat and another transposase gene that shared 100% identity with IS1216 family transposase gene, were detected between <italic>tet (O)</italic> and <italic>cat</italic> (pC194). Moreover, a transposon encoding the protein TnpV was detected upstream from the <italic>tet(O)</italic> gene. Gene cluster 2 consisted of the <italic>ant (9)</italic>, <italic>aph(3&#x2019;)-III</italic>, <italic>aph(2&#x2019;&#x2019;)-If</italic>, and <italic>cat</italic> genes (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). However, no mobile genetic elements or repetitive sequences were detected in this gene cluster, although a box element and several hypothetical proteins with sequences similar to those of some Gram-positive bacteria were found.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Resistance gene clusters identified in Campylobacter jejuni strain JZ02. <bold>(A)</bold> Tetracycline resistance gene cluster; <bold>(B)</bold> Aminoglycosides resistance gene cluster. SnapGene&#xae; 2.3.2 made this figure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-13-1236777-g002.tif"/>
</fig>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Virulence gene detection</title>
<p>Based on the VFDB, 126 virulence-related genes, involving adhesion, invasion, motility, toxins, and the type IV secretion system, were identified (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>). We observed more virulence-related genes in <italic>C. jejuni</italic> (83&#x2013;116 per isolate) than in <italic>C. coli</italic> (56&#x2013;61 per isolate), and among them, isolates <italic>C. jejuni</italic> JZ05 (CC-21) and JS02 (CC-464) had the most virulence-related genes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Most of the genes only detected in <italic>C. jejuni</italic> were related to motility and adhesion, including <italic>cadF</italic>, <italic>htrB</italic>, <italic>pebA</italic>, <italic>ciaB</italic>, <italic>jlpA</italic>, and <italic>cheA</italic>, and genes encoding cytolethal distending toxin (<italic>cdtABC</italic>) were also only detected in <italic>C. jejuni</italic>. Type IV secretion system genes, including <italic>virB11</italic>, <italic>virB10</italic>, <italic>virB9</italic>, <italic>virB8</italic>, <italic>virB4</italic>, and <italic>virD4</italic>, were detected in one <italic>C. jejuni</italic> isolate (3.3%), and <italic>wlaN</italic> was only found in two <italic>C. jejuni</italic> isolates (6.7%) (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). <italic>Campylobacter</italic> isolates in most branches (branch 1, 2, 4) of the phylogenetic tree had similar numbers of virulence genes, and the categories of these genes were not quite different. Interestingly, in branch 3, the type and abundance of virulence genes vary greatly from different ST types, and most of the different genes are related to capsular synthesis and immune regulation. Some isolates with more virulence-related genes were distributed in a sub-branch of branch 3.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Frequencies of parts of predicted virulence-related factors in the genomes of 30 <italic>Campylobacter</italic> isolates.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">VF class</th>
<th valign="top" rowspan="2" align="center">Related genes</th>
<th valign="top" colspan="2" align="center">
<italic>C. jejuni</italic> (n=13)</th>
<th valign="top" colspan="2" align="center">
<italic>C. coli </italic>(n=17)</th>
<th valign="top" colspan="2" align="center">Total (n=30)</th>
</tr>
<tr>
<th valign="top" align="center">NO.of isolate</th>
<th valign="top" align="center">% of isolates</th>
<th valign="top" align="center">NO.of isolate</th>
<th valign="top" align="center">% of isolates</th>
<th valign="top" align="center">NO.of isolate</th>
<th valign="top" align="center">% of isolates</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="4" align="left">Adherence</td>
<td valign="top" align="center">
<italic>cadF</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>porA</italic>
</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">38.50%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">16.70%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>pebA</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>jlpA</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" rowspan="7" align="left">Immune modulation</td>
<td valign="top" align="center">
<italic>htrB</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>wlaN</italic>
</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">15.40%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.70%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>Cj1135</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>kpsD/M</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">100.00%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>neuA1</italic>
</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">15.40%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">6.70%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>kpsF</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">82.40%</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">90.00%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>cheA</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="left">Type IV secretion system</td>
<td valign="top" align="center">
<italic>virB10/virB11/virB4/virB8/virB9/virD4</italic>
</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">7.70%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">3.30%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Toxin</td>
<td valign="top" align="center">
<italic>cdtA</italic>
</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">92.30%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">40.00%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>cdtB</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>cdtC</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Motility</td>
<td valign="top" align="center">
<italic>flgB</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">100.00%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>flhB</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">100.00%</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>flaA</italic>
</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">76.90%</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">35.30%</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">53.30%</td>
</tr>
<tr>
<td valign="top" align="left">Invasion</td>
<td valign="top" align="center">
<italic>ciaB</italic>
</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">100.00%</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.00%</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">43.30%</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>
<italic>Campylobacter</italic> is the main bacterial pathogen causing human diarrhea worldwide, and its increasing prevalence and antibiotic resistance have caused great concern globally in recent years, in both human and veterinary clinics. Poultry is the main host of <italic>Campylobacter</italic>, but the prevalence of the pathogen varies across different species and different regions. For instance, an investigation in southeastern Italy showed that the prevalence of <italic>C. jejuni</italic> was higher in broilers than in laying hens (45.7% and 21.1%, respectively) (<xref ref-type="bibr" rid="B46">Parisi et&#xa0;al., 2007</xref>). In Europe, the prevalence of broiler flocks colonized with <italic>Campylobacter</italic> ranged from 18% to &gt; 90% in different countries (<xref ref-type="bibr" rid="B43">Newell and Fearnley, 2003</xref>). Meat&#x2013;egg dual-purpose local chickens may differ from commercial varieties because their breeding modes and breeding cycles differ, and they may pose a potential risk of <italic>Campylobacter</italic> transmission to both meat and eggs (<xref ref-type="bibr" rid="B1">Ahmed et&#xa0;al., 2021</xref>). Therefore, we investigated the phylogenetic relationships, virulence genes, antibiotic resistance, and genetic bases of the resistance phenotypes of <italic>Campylobacter</italic> isolates collected from local meat&#x2013;egg dual-purpose chicken in China.</p>
<p>In this study, we identified two main prevalent <italic>Campylobacter</italic> species, <italic>C. jejuni</italic> and <italic>C. coli</italic>, and found strong genetic diversity in the <italic>Campylobacter</italic> strains transmitted in these chickens. The National Center for Biotechnology Information (NCBI) database indicated that CC-354 strains occur mainly in the United States and the United Kingdom, whereas they are quite dispersed in other countries (<xref ref-type="bibr" rid="B68">Yu et&#xa0;al., 2020</xref>). A previous study showed that CC-353 and CC-464 are the dominant CCs of <italic>C. jejuni</italic> in central China, and CC-354 was the dominant population of <italic>C. jejuni</italic> detected in the present study. CC-21 is also the most frequently reported <italic>C. jejuni</italic> genotype in diarrhea patients in China (<xref ref-type="bibr" rid="B74">Zhang et&#xa0;al., 2020b</xref>), and in Zhang et&#xa0;al.&#x2019;s study (<xref ref-type="bibr" rid="B71">Zhang et&#xa0;al., 2020a</xref>), CC-21 was also the dominant <italic>Campylobacter</italic> CC in chickens in southeastern China. However, in the present study, only one strain belonging to CC-21 was isolated, suggesting that the diversity of <italic>C. jejuni</italic> may vary by region and sample source, and that the epidemic patterns of <italic>Campylobacter</italic> may differ in local meat&#x2013;egg dual-purpose chickens. Three ST types, ST1586, ST872, and ST828, were found in the <italic>C. coli</italic> isolates, which belong to the same clonal complex, CC-828. This was expected because CC-828 is the dominant population of <italic>C. coli</italic>, and a large number of past studies have reported its prevalence around the world (<xref ref-type="bibr" rid="B72">Zhang et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B11">Di Giannatale et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B17">Gomes et&#xa0;al., 2019</xref>). Based on principal component analysis (PCA) on the evolutionary distances of core gene families, Snipen et&#xa0;al. reported that <italic>Campylobacter</italic> has a mixed evolutionary pattern characterized by genomes (<xref ref-type="bibr" rid="B56">Snipen et&#xa0;al., 2012</xref>). It is noteworthy that the three <italic>C. coli</italic> strains with undefined STs detected in this study clustered with <italic>C. jejuni</italic> on the same large branch of a phylogenetic tree based on a genomic SNP analysis, suggesting that their genetic relationship was close. Previous studies have shown that an bidirectional increase in the rate of recombination between <italic>C. jejuni</italic> and <italic>C. coli</italic> has led to the gradual convergence of the two species (<xref ref-type="bibr" rid="B55">Sheppard et&#xa0;al., 2008</xref>).</p>
<p>Antibiotic resistance has become one of the most important factors threatening human public health globally (<xref ref-type="bibr" rid="B38">Mancuso et&#xa0;al., 2021</xref>). It is noteworthy that 73.3% of <italic>Campylobacter</italic> isolates were multidrug resistant in the present study. The resistance rates of <italic>Campylobacter</italic> to ciprofloxacin and tetracycline in China are high, and studies have reported rates of 90%&#x2013;100% in broilers (<xref ref-type="bibr" rid="B37">Ma et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B32">Li et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B64">Wang et&#xa0;al., 2021</xref>). In the present study, there were similar high resistance rates to ciprofloxacin and tetracycline in both <italic>C. jejuni</italic> and <italic>C. coli</italic>. In the past, fluoroquinolones have been widely used in the edible animal industry, especially in poultry production, although tetracyclines are also commonly used to treat and prevent bacterial diseases in poultry in China. This may explain the high resistance rates to these two antibiotics in <italic>Campylobacter</italic>. In the early 1980s, the development and introduction of the third-generation extended-spectrum cephalosporin cefotaxime provided a new treatment for patients infected with Gram-negative bacilli (<xref ref-type="bibr" rid="B22">Hawkey, 2008</xref>). Here, we detected a relatively low rate of cefotaxime resistance (20.0%). Although it is not approved for use in food animals in China (<xref ref-type="bibr" rid="B10">Dai et&#xa0;al., 2008</xref>), we detected a high rate of amikacin resistance in <italic>Campylobacter</italic> (26.7%). Nor did the proportion of erythromycin-resistant isolates in our study differ greatly from that reported in previous studies (30.0% and 25.2%, respectively) (<xref ref-type="bibr" rid="B9">Cheng et&#xa0;al., 2020</xref>). However, the erythromycin resistance rate of <italic>C. jejuni</italic> was lower than in previous studies (15.4% and 30.1%, respectively), whereas the rate in <italic>C. coli</italic> was higher (41.2% and 18.3%, respectively) (<xref ref-type="bibr" rid="B9">Cheng et&#xa0;al., 2020</xref>). We detected high rates of resistance to lincomycin in both <italic>C. jejuni</italic> and <italic>C. coli</italic>, which may be related to the antibiotics commonly used in the areas from which the isolates were collected. The resistance of <italic>C. coli</italic> to antibiotics other than tetracycline and ciprofloxacin was greater than that of <italic>C. jejuni</italic>. These findings are consistent with the results of Tang et&#xa0;al. (<xref ref-type="bibr" rid="B61">Tang et&#xa0;al., 2020a</xref>), who reported that the prevalence of antibiotic resistance in chicken-derived <italic>C. coli</italic> was higher than in chicken-derived <italic>C. jejuni</italic>. In general, there is a worrying trend that, although the addition of antibiotics to feed supplements was banned in China in 2020, it has not reduced antibiotic resistance. On the contrary, some antibiotic resistance rates are still rising in some regions (<xref ref-type="bibr" rid="B9">Cheng et&#xa0;al., 2020</xref>).</p>
<p>Previous studies have shown that there is a strong correlation between the presence of AMR determinants detected with WGS and phenotypic antibiotic resistance (<xref ref-type="bibr" rid="B52">Rokney et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B20">Habib et&#xa0;al., 2023</xref>). However, it is known that <italic>Campylobacter</italic> also has many resistance mechanisms other than resistance gene-mediated, such as changes in membrane permeability, modification of the antibiotic efflux pumps, etc. (<xref ref-type="bibr" rid="B27">Iovine, 2013</xref>). The determinants of drug resistance do not always confer resistance phenotypes, and single resistance determinant may correlate weakly with certain antibiotics (<xref ref-type="bibr" rid="B57">&#x160;oprek et al., 2022</xref>). In this study, we found that the overall correlation between the 16 antibiotic resistance determinants detected with ResFinder v.4.1 and phenotypic resistance was not strong, and that there were huge differences between the different antibiotics. This suggests that current research into the resistance mechanisms of <italic>Campylobacter</italic> remains to be improved, and that simply analyzing bacterial resistance in terms of the antibiotic resistance determinants predicted with WGS does not provide an accurate assessment.</p>
<p>In the present study, phenotypic resistance to ciprofloxacin and tetracycline correlated well with the presence of the <italic>gyrA</italic> gene point mutation (C257T) and the <italic>tet(O)</italic> or <italic>tet(L)</italic> gene, respectively, confirming that they are the main factors conferring resistance to the corresponding antimicrobial agents. CTX-M type &#x3b2;-lactamases usually are the cause of drug resistance of Gram-negative bacteria to cephalosporin such as cefotaxime, but CTX-M was not found in resistant strains in this study. In our isolates, 90% isolates of our study contained <italic>blaOXA</italic>-type &#x3b2;-lactamase-encoding gene. Indeed, most <italic>Campylobacter</italic> strains contain the <italic>bla-OXA</italic> gene encoding &#x3b2;-lactamase that confers resistance to carbapenems, but not to cephalosporin (<xref ref-type="bibr" rid="B21">Hadiyan et&#xa0;al., 2022</xref>). Research has already shown that different &#x3b2;-lactamases have different hydrolysis profiles (<xref ref-type="bibr" rid="B49">Poirel et&#xa0;al., 2011</xref>) and that the expression of &#x3b2;-lactamase directly affects the resistance of strains to &#x3b2;-lactam antibiotics (<xref ref-type="bibr" rid="B7">Casagrande Proietti et&#xa0;al., 2020</xref>). This may also explain why strains containing the <italic>bla-OXA</italic> gene but with a &#x3b2;-lactam-sensitive phenotype have been found in several other studies (<xref ref-type="bibr" rid="B18">Griggs et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B70">Zeng et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B21">Hadiyan et&#xa0;al., 2022</xref>). Our study further confirmed that the presence of <italic>bla-OXA</italic> gene is not related to the resistance of cephalosporin drugs.</p>
<p>The prevalence of aminoglycoside-resistance-related determinants was low in the isolates tested, but these determinants showed relatively high diversity. A previous study demonstrated that the combined action of the <italic>aph(3&#x2032;)-III</italic>, <italic>aac(6&#x2032;)-aph(2&#x2032;&#x2032;)</italic>, and <italic>ant(6)-Ia</italic> genes conferred resistance to aminoglycoside antibiotics on <italic>Campylobacter</italic> (<xref ref-type="bibr" rid="B73">Zhang et&#xa0;al., 2022</xref>), which was confirmed in our study. However, even with the synergistic effect of <italic>ant(6)-Ia</italic> and <italic>aac(6&#x2019;)-aph(3&#x2019;&#x2019;)</italic>, the correlation between each gene and amikacin resistance was still low. Moreover, a <italic>C. coli</italic> isolate containing <italic>aadE-Cc</italic> showed a sensitive phenotype. This finding is consistent with a report by Painset et&#xa0;al. (<xref ref-type="bibr" rid="B44">Painset et&#xa0;al., 2020</xref>), who also observed <italic>Campylobacter</italic> strains carrying the <italic>aadE-Cc</italic> gene that were not resistant to some aminoglycoside antibiotics. There may be some unknown mechanism that inactivate these genes in <italic>Campylobacter</italic>.</p>
<p>Erythromycin and lincomycin have similar resistance mechanisms (<xref ref-type="bibr" rid="B75">Zhao et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B65">Wang et&#xa0;al., 2022</xref>). In the present study, the correlation between <italic>erm</italic>(B) and resistance to those two antibiotics was not strong. Therefore, we analyzed the sequence of 23S rRNA, and found no A2075G mutation.</p>
<p>Since most of the strains in this study have multi-drug resistance, we analyzed the genetic environment of the resistance gene of JZ02 (resistant to six antibiotics), and try to know how this strain obtained the antibiotic resistance gene. As is known that <italic>Campylobacter</italic> can acquire exogenous DNA through natural transformation (<xref ref-type="bibr" rid="B63">Wang and Taylor, 1990</xref>). The spread of antibiotic resistance genes in <italic>Campylobacter</italic> isolates from humans, animals, and the environment has previously been reported (<xref ref-type="bibr" rid="B3">Asuming-Bediako et&#xa0;al., 2019</xref>). The tetracycline resistance gene <italic>tet(O)</italic> is believed to have originated in Gram-positive cocci (<xref ref-type="bibr" rid="B77">Zilhao et&#xa0;al., 1988</xref>), and the tetracycline resistance mediated by this gene is mainly spread via the horizontal transfer of resistance genes on conjugated plasmids (<xref ref-type="bibr" rid="B66">Wardak et&#xa0;al., 2007</xref>). Although we found that resistance gene <italic>tet(O)</italic> was located on chromosome of isolate JZ02, some tranposase-encoding sequences were detected near <italic>tet(O)</italic>. The presence of these transposases implies that the antibiotic-resistance genes were co-transferred with some mobile genetic elements into the genomes of related strains. Although no relevant mobile elements were found in cluster 2, several genes, such as <italic>ant(9)</italic> and <italic>aph(2&#x2019;&#x2019;)-If</italic>, which encode aminoglycoside-modifying enzymes, are similar to those of some Gram-positive bacteria, indicating that they may have derived from Gram-positive bacteria in the environment or animal intestines (<xref ref-type="bibr" rid="B13">Fabre et&#xa0;al., 2018</xref>).</p>
<p>The ability of <italic>Campylobacter</italic> to cause human diseases is considered multifactorial, and several genes are closely related to its virulence, including <italic>ciaB</italic> and <italic>cdtABC</italic> (<xref ref-type="bibr" rid="B34">Lopes et&#xa0;al., 2021</xref>). An analysis of the virulence-related genes of our isolates showed that <italic>C. jejuni</italic> carried more virulence-related genes than <italic>C. coli</italic>, which is consistent with the study of Lapierre et&#xa0;al. (<xref ref-type="bibr" rid="B30">Lapierre et&#xa0;al., 2016</xref>), and most of these genes were involved in motility (<italic>flaA</italic>), adhesion (<italic>cadF</italic>, <italic>cheA</italic>, <italic>jlpA</italic> et&#xa0;al), and invasion (<italic>ciaB</italic>). It is noteworthy that in this study, CC-21 and CC-464 had the most virulence-related genes and these two clonal complexes are also common among the clinical isolates of <italic>Campylobacter</italic> (<xref ref-type="bibr" rid="B71">Zhang et&#xa0;al., 2020a</xref>; <xref ref-type="bibr" rid="B74">Zhang et&#xa0;al., 2020b</xref>; <xref ref-type="bibr" rid="B69">Zang et&#xa0;al., 2021</xref>). Then we found that the additional genes they carried were mainly involved in immune modulation like bacterial capsule biosynthesis, especially by sugar and aminotransferase enzymes (kfiD, glf, Cj1426c, Cj1432c, Cj1434c, Cj1435c, Cj1436c, Cj1437c) while these genes do not be harbored in other complexes(<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;5</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Although a high prevalence of virulence-associated genes (<italic>ciaB</italic> and <italic>flaA</italic>) has been already reported in <italic>Campylobacter</italic> strains infecting children with moderate to severe diarrhea (<xref ref-type="bibr" rid="B50">Quetz et&#xa0;al., 2012</xref>), these genes were only detected in <italic>C. jejuni</italic> in the present study. This may explain why <italic>C. jejuni</italic> colonizes its host more readily than <italic>C. coli</italic> and is responsible for more food-borne bacterial infection events (<xref ref-type="bibr" rid="B41">Moffatt et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B6">Callahan Sean et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B54">Schirone and Visciano, 2021</xref>). Virulence genes related to the type IV secretion system were only found in one strain of <italic>C. jejuni</italic>, and these genes are less prevalent in Asia and Europe (<xref ref-type="bibr" rid="B45">Panzenhagen et&#xa0;al., 2021</xref>). We also detected the <italic>wlaN</italic> gene, which is involved in Guillain&#x2013;Barre syndrome in two <italic>C. jejuni</italic> isolates(<xref ref-type="bibr" rid="B19">Guirado et&#xa0;al., 2020</xref>).</p>
<p>In conclusion, in this study, we have demonstrated the genetic diversity and antimicrobial susceptibility of <italic>Campylobacter</italic> isolated from local dual-purpose chickens in China, and analyzed their resistance- and virulence-related genes. It thus provides important data on the epidemiological characteristics of <italic>Campylobacter</italic> in this food source.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving animals were reviewed and approved by the Ethics Committee of Institute of Animal Husbandry and Veterinary, Hubei Academy of Agricultural Sciences (Wuhan, China).</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JX, YC, QingL, and TZ conceived and designed the experiments. JX, YC, QinL, and YG performed the experiments. GW, WZ, and QH analyzed the data. JX, HS, and TZ wrote the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Key Research and Development Plan of China (2022YFD1800400), the China Agriculture Research System (CARS-41), the Key Projects of Hubei Natural Science Foundation (2021CFA019), and the Key Research and Development Program of Hubei Province (2022BBA0055).</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2023.1236777/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2023.1236777/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure S1</label>
<caption>
<p>Matrix of SNP pair counts among 30 isolates. Number of SNP was calculated by comparing the genome sequences to the reference (RM1221) genome. Background colors represent different number of pairwise SNPs.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure S2</label>
<caption>
<p>Distribution of virulence-related genes of 30 isolates.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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