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: | English |
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Dryad
2021
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.5061/dryad.vt4b8gtrz https://datadryad.org/stash/dataset/doi: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 ... : 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. ... |
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