Proteomic-based stable isotope probing reveals taxonomically Distinct Patterns in Amino Acid Assimilation by Coastal Marine Bacterioplankton [electronic resource]

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Ngôn ngữ: eng

Ký hiệu phân loại: 574.5 [Unassigned]

Thông tin xuất bản: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2016

Mô tả vật lý: Size: Article No. 00027-15 : , digital, PDF file.

Bộ sưu tập: Metadata

ID: 260857

 Heterotrophic marine bacterioplankton are a critical component of the carbon cycle, processing nearly a quarter of annual global primary production, yet defining how substrate utilization preferences and resource partitioning structure these microbial communities remains a challenge. In this study, we utilized proteomics-based stable isotope probing (proteomic SIP) to characterize the assimilation of amino acids by coastal marine bacterioplankton populations. We incubated microcosms of seawater collected from Newport, OR and Monterey Bay, CA with 1 M <
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 C-amino acids for 15 and 32 hours. Subsequent analysis of <
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 C incorporation into protein biomass quantified the frequency and extent of isotope enrichment for identified proteins. Using these metrics we tested whether amino acid assimilation patterns were different for specific bacterioplankton populations. Proteins associated with Rhodobacterales and Alteromonadales tended to have a significantly high number of tandem mass spectra from <
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 13<
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 C-enriched peptides, while Flavobacteriales and SAR11 proteins generally had significantly low numbers of <
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 C-enriched spectra. Rhodobacterales proteins associated with amino acid transport and metabolism had an increased frequency of <
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 C-enriched spectra at time-point 2, while Alteromonadales ribosomal proteins were <
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 C- enriched across time-points. Overall, proteomic SIP facilitated quantitative comparisons of dissolved free amino acids assimilation by specific taxa, both between sympatric populations and between protein functional groups within discrete populations, allowing an unprecedented examination of population-level metabolic responses to resource acquisition in complex microbial communities.
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