Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom
Abstract 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 metapro...
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2021
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Online Access: | http://dx.doi.org/10.1038/s41396-021-01084-9 https://www.nature.com/articles/s41396-021-01084-9.pdf https://www.nature.com/articles/s41396-021-01084-9 |
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crspringernat:10.1038/s41396-021-01084-9 2023-05-15T14:09:22+02:00 Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. Simons Foundation Killam Trusts National Science Foundation 2021 http://dx.doi.org/10.1038/s41396-021-01084-9 https://www.nature.com/articles/s41396-021-01084-9.pdf https://www.nature.com/articles/s41396-021-01084-9 en eng Springer Science and Business Media LLC https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 CC-BY The ISME Journal ISSN 1751-7362 1751-7370 Ecology, Evolution, Behavior and Systematics Microbiology journal-article 2021 crspringernat https://doi.org/10.1038/s41396-021-01084-9 2022-01-04T11:49:11Z Abstract 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. Article in Journal/Newspaper Antarc* Antarctic Ross Sea Southern Ocean Springer Nature (via Crossref) Antarctic Ross Sea Southern Ocean The ISME Journal 16 2 569 579 |
institution |
Open Polar |
collection |
Springer Nature (via Crossref) |
op_collection_id |
crspringernat |
language |
English |
topic |
Ecology, Evolution, Behavior and Systematics Microbiology |
spellingShingle |
Ecology, Evolution, Behavior and Systematics Microbiology McCain, J. Scott P. Allen, Andrew E. Bertrand, Erin M. Proteomic traits vary across taxa in a coastal Antarctic phytoplankton bloom |
topic_facet |
Ecology, Evolution, Behavior and Systematics Microbiology |
description |
Abstract 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. |
author2 |
Simons Foundation Killam Trusts National Science Foundation |
format |
Article in Journal/Newspaper |
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 |
Springer Science and Business Media LLC |
publishDate |
2021 |
url |
http://dx.doi.org/10.1038/s41396-021-01084-9 https://www.nature.com/articles/s41396-021-01084-9.pdf https://www.nature.com/articles/s41396-021-01084-9 |
geographic |
Antarctic Ross Sea Southern Ocean |
geographic_facet |
Antarctic Ross Sea Southern Ocean |
genre |
Antarc* Antarctic Ross Sea Southern Ocean |
genre_facet |
Antarc* Antarctic Ross Sea Southern Ocean |
op_source |
The ISME Journal ISSN 1751-7362 1751-7370 |
op_rights |
https://creativecommons.org/licenses/by/4.0 https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41396-021-01084-9 |
container_title |
The ISME Journal |
container_volume |
16 |
container_issue |
2 |
container_start_page |
569 |
op_container_end_page |
579 |
_version_ |
1766281374653743104 |