<?xml version="1.0" encoding="UTF-8"?>
<STUDY_SET xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
  <STUDY accession="ERP134219" alias="66002573-6363-42b7-9a74-ce16b458fe7a" center_name="Leibniz Centre for Tropical Marine Research (ZMT)">
    <IDENTIFIERS>
      <PRIMARY_ID>ERP134219</PRIMARY_ID>
      <EXTERNAL_ID namespace="BioProject">PRJEB49701</EXTERNAL_ID>
      <SUBMITTER_ID namespace="Leibniz Centre for Tropical Marine Research (ZMT)">66002573-6363-42b7-9a74-ce16b458fe7a</SUBMITTER_ID>
    </IDENTIFIERS>
    <DESCRIPTOR>
      <STUDY_TITLE>Taxonomic assignent of diatom symbionts</STUDY_TITLE>
      <STUDY_TYPE existing_study_type="Other"/>
      <STUDY_ABSTRACT>Different proteomics-based approaches were applied using novo peptide sequencing and similarity clustering to several populations of the large benthic foraminifera Amphistegina lobifera, A. lessonii and A. gibbosa. To differentiate the contribution of the symbiont community to the proteome, 18S sequences were used to classify the algae symbionts in the host.</STUDY_ABSTRACT>
      <CENTER_PROJECT_NAME>Proteome-based clustering approaches reveal phylogenetic insights into Amphistegina</CENTER_PROJECT_NAME>
      <STUDY_DESCRIPTION>Different proteomics-based approaches were applied using novo peptide sequencing and similarity clustering to several populations of the large benthic foraminifera Amphistegina lobifera, A. lessonii and A. gibbosa. To differentiate the contribution of the symbiont community to the proteome, 18S sequences were used to classify the algae symbionts in the host.</STUDY_DESCRIPTION>
    </DESCRIPTOR>
    <STUDY_ATTRIBUTES>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-FIRST-PUBLIC</TAG>
        <VALUE>2021-12-29</VALUE>
      </STUDY_ATTRIBUTE>
      <STUDY_ATTRIBUTE>
        <TAG>ENA-LAST-UPDATE</TAG>
        <VALUE>2021-12-29</VALUE>
      </STUDY_ATTRIBUTE>
    </STUDY_ATTRIBUTES>
  </STUDY>
</STUDY_SET>
