Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ...
Production and use of proteins is under strong selection in microbes, but it is unclear how proteome-level traits relate to ecological strategies. We identified and quantified proteomic traits of eukaryotic microbes and bacteria through an Antarctic phytoplankton bloom using in situ metaproteomics....
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ftdatacite:10.5061/dryad.vt4b8gtrz 2024-06-09T07:39:41+00:00 Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. 2021 https://dx.doi.org/10.5061/dryad.vt4b8gtrz https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt4b8gtrz en eng Dryad https://dx.doi.org/10.1038/s41396-021-01084-9 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Biological sciences Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.vt4b8gtrz10.1038/s41396-021-01084-9 2024-05-13T11:11:36Z Production and use of proteins is under strong selection in microbes, but it is unclear how proteome-level traits relate to ecological strategies. We identified and quantified proteomic traits of eukaryotic microbes and bacteria through an Antarctic phytoplankton bloom using in situ metaproteomics. Different taxa, rather than different environmental conditions, formed distinct clusters based on their ribosomal and photosynthetic proteomic proportions, and we propose that these characteristics relate to ecological differences. We defined and used a proteomic proxy for regulatory cost, which showed that SAR11 had the lowest regulatory cost of any taxa we observed at our summertime Southern Ocean study site. Haptophytes had lower regulatory cost than diatoms, which may underpin haptophyte-to-diatom bloom progression in the Ross Sea. We were able to make these proteomic trait inferences by assessing various sources of bias in metaproteomics, providing practical recommendations for researchers in the field. We ... : Samples were collected at the Antarctic sea ice edge in the Ross Sea, and metagenomic, metatranscriptomic, and metaproteomic analyses were conducted on each sample. Contained in this data submission are the metaproteomic bioinformatic pipeline output, database configurations, metaproteomic simulation output, cofragmentation bias analysis output, targeted proteomics data summaries, and culture proteomic data summaries. ... Dataset Antarc* Antarctic Ross Sea Sea ice Southern Ocean DataCite Metadata Store (German National Library of Science and Technology) Antarctic Ross Sea Southern Ocean The Antarctic |
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DataCite Metadata Store (German National Library of Science and Technology) |
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English |
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FOS Biological sciences |
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FOS Biological sciences McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
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FOS Biological sciences |
description |
Production and use of proteins is under strong selection in microbes, but it is unclear how proteome-level traits relate to ecological strategies. We identified and quantified proteomic traits of eukaryotic microbes and bacteria through an Antarctic phytoplankton bloom using in situ metaproteomics. Different taxa, rather than different environmental conditions, formed distinct clusters based on their ribosomal and photosynthetic proteomic proportions, and we propose that these characteristics relate to ecological differences. We defined and used a proteomic proxy for regulatory cost, which showed that SAR11 had the lowest regulatory cost of any taxa we observed at our summertime Southern Ocean study site. Haptophytes had lower regulatory cost than diatoms, which may underpin haptophyte-to-diatom bloom progression in the Ross Sea. We were able to make these proteomic trait inferences by assessing various sources of bias in metaproteomics, providing practical recommendations for researchers in the field. We ... : Samples were collected at the Antarctic sea ice edge in the Ross Sea, and metagenomic, metatranscriptomic, and metaproteomic analyses were conducted on each sample. Contained in this data submission are the metaproteomic bioinformatic pipeline output, database configurations, metaproteomic simulation output, cofragmentation bias analysis output, targeted proteomics data summaries, and culture proteomic data summaries. ... |
format |
Dataset |
author |
McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. |
author_facet |
McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. |
author_sort |
McCain, J. Scott P. |
title |
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
title_short |
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
title_full |
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
title_fullStr |
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
title_full_unstemmed |
Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom ... |
title_sort |
proteomic traits vary across taxa in a coastal antarctic phytoplankton bloom ... |
publisher |
Dryad |
publishDate |
2021 |
url |
https://dx.doi.org/10.5061/dryad.vt4b8gtrz https://datadryad.org/stash/dataset/doi:10.5061/dryad.vt4b8gtrz |
geographic |
Antarctic Ross Sea Southern Ocean The Antarctic |
geographic_facet |
Antarctic Ross Sea Southern Ocean The Antarctic |
genre |
Antarc* Antarctic Ross Sea Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Ross Sea Sea ice Southern Ocean |
op_relation |
https://dx.doi.org/10.1038/s41396-021-01084-9 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.vt4b8gtrz10.1038/s41396-021-01084-9 |
_version_ |
1801381170090344448 |