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Metaproteomics reveal that rapid perturbations in organic matter prioritize functional restructuring over taxonomy in western Arctic Ocean microbiomes.

Molly P Mikan | H Rodger Harvey | Emma Timmins-Schiffman | Michael Riffle | Damon H May | Ian Salter | William S Noble | Brook L Nunn
The ISME journal | 2020

We examined metaproteome profiles from two Arctic microbiomes during 10-day shipboard incubations to directly track early functional and taxonomic responses to a simulated algal bloom and an oligotrophic control. Using a novel peptide-based enrichment analysis, significant changes (p-value < 0.01) in biological and molecular functions associated with carbon and nitrogen recycling were observed. Within the first day under both organic matter conditions, Bering Strait surface microbiomes increased protein synthesis, carbohydrate degradation, and cellular redox processes while decreasing C1 metabolism. Taxonomic assignments revealed that the core microbiome collectively responded to algal substrates by assimilating carbon before select taxa utilize and metabolize nitrogen intracellularly. Incubations of Chukchi Sea bottom water microbiomes showed similar, but delayed functional responses to identical treatments. Although 24 functional terms were shared between experimental treatments, the timing, and degree of the remaining responses were highly variable, showing that organic matter perturbation directs community functionality prior to alterations to the taxonomic distribution at the microbiome class level. The dynamic responses of these two oceanic microbial communities have important implications for timing and magnitude of responses to organic perturbations within the Arctic Ocean and how community-level functions may forecast biogeochemical gradients in oceans.

Pubmed ID: 31492961

Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM121818

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This is a list of tools and resources that we have found mentioned in this publication.


ProteomeXchange (tool)

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Program to Reduce Incontinence by Diet and Exercise (tool)

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CoMet (tool)

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Percolator: Semi-supervised learning for peptide identification from shotgun proteomics datasets (tool)

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