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....
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | unknown |
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2021
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| Online Access: | https://zenodo.org/record/5510783 https://doi.org/10.5061/dryad.vt4b8gtrz |
| Summary: | 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 CanadaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038Award Number: RGPIN-2015-05009Funding provided by: Simons FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000893Award Number: 504183Funding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: Funding provided by: NSF-OCE*Crossref Funder Registry ID: Award Number: 1756884Funding provided by: NSF-ANT*Crossref Funder Registry ID: Award Number: 1043671Funding provided by: Gordon and Betty Moore FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000936Award Number: GBMF3828Funding provided by: ... |
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