Metagenomic Analyses of Microbial Communities Beneath the Ross Ice Shelf, 2017

In Antarctica, ice shelves such as the Ross Ice Shelf (RIS) fringe 75% of the coastline and cover over 1.5 million km2, creating distinct and largely unexplored marine environments. It is fundamental to characterize the communities under these shelves to understand their biogeochemical role and predict how they might respond to future ice-shelf collapse 1,2. While historical studies suggested the RIS harbors active microorganisms 3–5, nothing is known about the composition of these communities. In this study, we profiled the composition, function, and activities of microbial communities in three seawater samples (400, 550, 700 m depth) underlying the shelf interior. We combined rate measurements with multi-omics (i.e. single-cell genomics, metagenomics, metatranscriptomics, and metaproteomics). Overall, below-shelf waters harbour microbial communities of comparable abundance and diversity to deep pelagic waters. Based on the meta-omic data, the community is inferred to be sustained by dark carbon fixation using ammonia, nitrite, and sulfur compounds as electron donors. In turn, these chemolithoautotrophs are predicted to support the aerobic heterotrophic majority and various trophic interactions. Consistently, this study and previous activity measurements suggest that dark carbon fixation is sufficient to sustain prokaryotic heterotrophic production, making the waters below the RIS presumably the largest chemolithotrophic system in the global ocean.

Further details are provided at https://doi.org/10.1038/s41467-021-27769-5

GET DATA: https://www.ebi.ac.uk/ena/browser/view/PRJEB35712 GET DATA: https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA593264

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Maintainer Email federico.baltar@univie.ac.at
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Source Created 2021-02-06T00:00:00
Source Modified 2024-12-16T20:24:55.476Z
Language English
Spatial {"type": "Polygon", "coordinates": [[[173.077, -80.88], [175.84, -80.88], [175.84, -80.43], [173.077, -80.43], [173.077, -80.88]]]}
Source Identifier 7ba4da40-1152-4b6f-ac66-6cb2afe7bdd3
Dataset metadata created 25 March 2025, last updated 25 March 2025