Proteome data of Amphistegina gibbosa
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| Format: | Dataset Open Access |
| Langue: | en |
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PANGAEA
2017
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| _version_ | 1867171003356938240 |
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| author | Stuhr, Marleen Blank-Landeshammer, Bernhard Reymond, Claire E Kollipara, Laxmikanth Sickmann, Albert Kucera, Michal Westphal, Hildegard |
| author_facet | Stuhr, Marleen Blank-Landeshammer, Bernhard Reymond, Claire E Kollipara, Laxmikanth Sickmann, Albert Kucera, Michal Westphal, Hildegard |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_883791 |
| institution | PANGAEA |
| language | en |
| publishDate | 2017 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Proteome data of Amphistegina gibbosa Stuhr, Marleen Blank-Landeshammer, Bernhard Reymond, Claire E Kollipara, Laxmikanth Sickmann, Albert Kucera, Michal Westphal, Hildegard Leibniz Centre for Tropical Marine Research; ZMT 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. |
| title | Proteome data of Amphistegina gibbosa |
| topic | Leibniz Centre for Tropical Marine Research; ZMT |
| url | https://doi.org/10.1594/PANGAEA.883791 |