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<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY accession="ERP114177" alias="ena-STUDY-CIBIO-INBIO RESEARCH CENTER IN BIODIVERSITY AND GENETIC RESOURCES-07-03-2019-22:56:06:712-333" center_name="CIBIO-INBIO RESEARCH CENTER IN BIODIVERSITY AND GENETIC RESOURCES">
    <IDENTIFIERS>
      <PRIMARY_ID>ERP114177</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject">PRJEB31604</EXTERNAL_ID>
      <SUBMITTER_ID namespace="CIBIO-INBIO RESEARCH CENTER IN BIODIVERSITY AND GENETIC RESOURCES">ena-STUDY-CIBIO-INBIO RESEARCH CENTER IN BIODIVERSITY AND GENETIC RESOURCES-07-03-2019-22:56:06:712-333</SUBMITTER_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>A risky business? Habitat and social behaviour impact skin and gut microbiomes in Caribbean cleaning gobies</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>The broadstripe cleaning goby Elacatinus prochilos has two alternative ecotypes: sponge-dwellers, which live in large groups and feed mainly upon nematode parasites; and coral-dwellers, which live in small groups or in solitude and behave as cleaners. Recent studies focusing on the skin and gut microbiomes of tropical fish showed that microbial communities are influenced mainly by diet and host species. Here we compare the skin and gut microbiomes of the Caribbean broadstripe cleaning goby Elacatinus prochilos alternative ecotypes (cleaners and non-cleaners) from Barbados and predict that different habitat use and behavior (cleaning versus non-cleaning) will translate in different bacterial profiles between the two ecotypes. We sequenced the bacterial 16S rRNA V4 region and performed amplicon sequence variant (ASV) analysis using the dada2 pipeline implemented in the QIIME 2 bioinformatic platform. We used linear regression and permutational multivariate analysis of variance to test whether differences in alpha- and beta-diversity, respectively, could be attributed to ecotype. We found significant differences in both alpha- and beta-diversity of skin and gut microbiomes belonging to different ecotypes. Importantly, the skin microbiome of obligate cleaners showed greater intra-sample diversity and harboured a significantly higher prevalence of potential fish pathogens. Likewise, potential pathogens were also more prevalent in the gut of obligate cleaners. We suggest that habitat use, diet, but also direct contact with potential diseased clientele during cleaning, could be the cause for these patterns.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>Elacatinus prochilos microbiome</CENTER_PROJECT_NAME>
      <STUDY_DESCRIPTION>The broadstripe cleaning goby Elacatinus prochilos has two alternative ecotypes: sponge-dwellers, which live in large groups and feed mainly upon nematode parasites; and coral-dwellers, which live in small groups or in solitude and behave as cleaners. Recent studies focusing on the skin and gut microbiomes of tropical fish showed that microbial communities are influenced mainly by diet and host species. Here we compare the skin and gut microbiomes of the Caribbean broadstripe cleaning goby Elacatinus prochilos alternative ecotypes (cleaners and non-cleaners) from Barbados and predict that different habitat use and behavior (cleaning versus non-cleaning) will translate in different bacterial profiles between the two ecotypes. We sequenced the bacterial 16S rRNA V4 region and performed amplicon sequence variant (ASV) analysis using the dada2 pipeline implemented in the QIIME 2 bioinformatic platform. We used linear regression and permutational multivariate analysis of variance to test whether differences in alpha- and beta-diversity, respectively, could be attributed to ecotype. We found significant differences in both alpha- and beta-diversity of skin and gut microbiomes belonging to different ecotypes. Importantly, the skin microbiome of obligate cleaners showed greater intra-sample diversity and harboured a significantly higher prevalence of potential fish pathogens. Likewise, potential pathogens were also more prevalent in the gut of obligate cleaners. We suggest that habitat use, diet, but also direct contact with potential diseased clientele during cleaning, could be the cause for these patterns.</STUDY_DESCRIPTION>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-FIRST-PUBLIC</TAG>
        <VALUE>2019-05-07</VALUE>
      </STUDY_ATTRIBUTE>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-LAST-UPDATE</TAG>
        <VALUE>2019-03-07</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
