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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ftzenodo:oai:zenodo.org:5510783 2024-09-15T17:40:53+00:00 Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. 2021-09-15 https://doi.org/10.5061/dryad.vt4b8gtrz unknown Zenodo https://doi.org/10.1038/s41396-021-01084-9 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.vt4b8gtrz oai:zenodo.org:5510783 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode info:eu-repo/semantics/other 2021 ftzenodo https://doi.org/10.5061/dryad.vt4b8gtrz10.1038/s41396-021-01084-9 2024-07-26T11:18:41Z 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 have quantified several proteomic traits (ribosomal and photosynthetic proteomic proportions, regulatory cost) in eukaryotic and bacterial taxa, which can then be incorporated into trait-based models of microbial communities that reflect resource allocation strategies. Funding provided by: Natural Sciences and Engineering Research Council of Canada Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038 Award Number: RGPIN-2015-05009 Funding provided by: Simons Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000893 Award Number: 504183 Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: Funding provided by: NSF-OCE* Crossref Funder Registry ID: Award Number: 1756884 Funding provided by: NSF-ANT* Crossref Funder Registry ID: Award Number: 1043671 Funding provided by: Gordon and Betty Moore Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000936 Award Number: GBMF3828 Funding ... Other/Unknown Material Antarc* Antarctic Ross Sea Southern Ocean Zenodo |
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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 have quantified several proteomic traits (ribosomal and photosynthetic proteomic proportions, regulatory cost) in eukaryotic and bacterial taxa, which can then be incorporated into trait-based models of microbial communities that reflect resource allocation strategies. Funding provided by: Natural Sciences and Engineering Research Council of Canada Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038 Award Number: RGPIN-2015-05009 Funding provided by: Simons Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000893 Award Number: 504183 Funding provided by: National Science Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001 Award Number: Funding provided by: NSF-OCE* Crossref Funder Registry ID: Award Number: 1756884 Funding provided by: NSF-ANT* Crossref Funder Registry ID: Award Number: 1043671 Funding provided by: Gordon and Betty Moore Foundation Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000936 Award Number: GBMF3828 Funding ... |
format |
Other/Unknown Material |
author |
McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. |
spellingShingle |
McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom |
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 |
Zenodo |
publishDate |
2021 |
url |
https://doi.org/10.5061/dryad.vt4b8gtrz |
genre |
Antarc* Antarctic Ross Sea Southern Ocean |
genre_facet |
Antarc* Antarctic Ross Sea Southern Ocean |
op_relation |
https://doi.org/10.1038/s41396-021-01084-9 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.vt4b8gtrz oai:zenodo.org:5510783 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.vt4b8gtrz10.1038/s41396-021-01084-9 |
_version_ |
1810486951162150912 |