<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="https://dataportal.leibniz-zmt.de/webinterface/1793167301/webcaosdb.xsl" ?>
<Response srid="758d6db0-6359-4820-a8ba-f25021cb63b7" timestamp="1793940080542" baseuri="https://dataportal.leibniz-zmt.de" count="1">
  <noscript>
    <h1>Please enable JavaScript!</h1>
  </noscript>
  <UserInfo>
    <Roles>
      <Role>anonymous</Role>
    </Roles>
  </UserInfo>
  <Record id="19429">
    <Permissions>
      <Permission name="RETRIEVE:FILE" />
      <Permission name="RETRIEVE:ENTITY" />
      <Permission name="RETRIEVE:ACL" />
      <Permission name="RETRIEVE:HISTORY" />
      <Permission name="RETRIEVE:OWNER" />
    </Permissions>
    <Version id="25bbc24740cb4848e27e2b17662854abe128fe13" head="true">
      <Predecessor id="16cc383c112f454bd320fa762faa5db0f74cd29a" />
    </Version>
    <Parent id="13949" name="Published Dataset" />
    <Property datatype="Repository" id="13947" name="Repository" importance="FIX">16352</Property>
    <Property datatype="TEXT" id="13899" name="title" description="full dataset title" importance="FIX">Proteome data of Amphistegina gibbosa</Property>
    <Property datatype="TEXT" id="13906" name="Abstract" description="Abstract with at least 80 characters" importance="FIX">The proliferation of key marine ecological engineers and carbonate producers often relies on their association with photosymbiotic algae. Evaluating stress responses of these organisms is important to predict their fate under future climate projections. Physiological approaches are limited in their ability to resolve the involved molecular mechanisms and attribute stress effects to the host or symbiont, while probing and partitioning of proteins cannot be applied in organisms where the host and symbiont are small and cannot be physically separated. Here we apply a label-free quantitative proteomics approach to detect changes of proteome composition in the diatom-bearing benthic foraminifera Amphistegina gibbosa experimentally exposed to three thermal-stress scenarios. We developed a workflow for protein extraction from less than ten specimens and simultaneously analysed host and symbiont proteomes. Despite little genomic data for the host, 1,618 proteins could be partially assembled and assigned. The proteomes revealed identical pattern of stress response among stress scenarios as that indicated by physiological measurements, but allowed identification of compartment-specific stress reactions. In the symbiont, stress-response and proteolysis-related proteins were up regulated while photosynthesis-related proteins declined. In contrast, host homeostasis was maintained through chaperone up-regulation associated with elevated proteosynthesis and proteolysis, and the host metabolism shifted to heterotrophy.</Property>
    <Property datatype="License" id="13911" name="License" importance="FIX">17064</Property>
    <Property datatype="TEXT" id="13912" name="DOI" description="Dataset or publication DOI, e.g. 10.1594/PANGAEA.938740" importance="FIX">https://doi.org/10.1594/PANGAEA.883791</Property>
    <Property datatype="DATETIME" id="13953" name="Publication date" importance="FIX">2017-12-06T08:46:18+0000</Property>
    <Property datatype="DATETIME" id="13954" name="Publication year" importance="FIX">2017</Property>
    <Property datatype="LIST&lt;Person&gt;" id="13905" name="Authors" importance="FIX">
      <Value>14181</Value>
      <Value>18911</Value>
      <Value>18726</Value>
      <Value>19428</Value>
      <Value>18910</Value>
      <Value>19294</Value>
      <Value>14046</Value>
    </Property>
    <Property datatype="Relation" id="13950" name="Supplement to" importance="FIX">18255</Property>
    <Property datatype="LIST&lt;Project&gt;" id="13936" name="Project" description="https://wiki.pangaea.de/wiki/Project" importance="FIX">
      <Value>16375</Value>
    </Property>
    <Property datatype="TEXT" id="19788" name="Citation" description="Full citation info as given by the publisher (cf. PANGAEA's citation)" importance="FIX">Stuhr, Marleen; Blank-Landeshammer, Bernhard; Reymond, Claire E; Kollipara, Laxmikanth; Sickmann, Albert; Kucera, Michal; Westphal, Hildegard (2017): Proteome data of Amphistegina gibbosa [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.883791, Supplement to: Stuhr, M et al. (2018): Disentangling thermal stress responses in a reef-calcifier and its photosymbionts by shotgun proteomics. Scientific Reports, 8(1), https://doi.org/10.1038/s41598-018-21875-z</Property>
  </Record>
</Response>
