Article (Scientific journals)
The microbiome of cryospheric ecosystems.
Bourquin, Massimo; BUSI, Susheel Bhanu; Fodelianakis, Stilianos et al.
2022In Nature Communications, 13 (1), p. 3087
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Keywords :
Climate Change; Phylogeny; Snow; Microbiota/genetics; Permafrost; Microbiota; Chemistry (all); Biochemistry, Genetics and Molecular Biology (all); Physics and Astronomy (all); General Physics and Astronomy; General Biochemistry, Genetics and Molecular Biology; General Chemistry; Multidisciplinary
Abstract :
[en] The melting of the cryosphere is among the most conspicuous consequences of climate change, with impacts on microbial life and related biogeochemistry. However, we are missing a systematic understanding of microbiome structure and function across cryospheric ecosystems. Here, we present a global inventory of the microbiome from snow, ice, permafrost soils, and both coastal and freshwater ecosystems under glacier influence. Combining phylogenetic and taxonomic approaches, we find that these cryospheric ecosystems, despite their particularities, share a microbiome with representatives across the bacterial tree of life and apparent signatures of early and constrained radiation. In addition, we use metagenomic analyses to define the genetic repertoire of cryospheric bacteria. Our work provides a reference resource for future studies on climate change microbiology.
Research center :
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Physical, chemical, mathematical & earth Sciences: Multidisciplinary, general & others
Author, co-author :
Bourquin, Massimo ;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland. massimo.bourquin@epfl.ch
BUSI, Susheel Bhanu  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine > Systems Ecology > Team Paul WILMES
Fodelianakis, Stilianos;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
Peter, Hannes;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
Washburne, Alex;  Selva Analytics LLC, Bozeman, MT, 59718, USA
Kohler, Tyler J;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
Ezzat, Leïla;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
Michoud, Grégoire ;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland
WILMES, Paul  ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Systems Ecology
Battin, Tom J ;  River Ecosystems Laboratory, Centre for Alpine and Polar Environmental Research (ALPOLE), École Polytechnique Fédérale de Lausanne, EPFL, Lausanne, Switzerland. tom.battin@epfl.ch
External co-authors :
yes
Language :
English
Title :
The microbiome of cryospheric ecosystems.
Publication date :
02 June 2022
Journal title :
Nature Communications
eISSN :
2041-1723
Publisher :
Nature Research, England
Volume :
13
Issue :
1
Pages :
3087
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
SNSF - Swiss National Science Foundation [CH]
The NOMIS Foundation
Funding number :
CRSII5_180241; Vanishing Glaciers
Funding text :
This work was supported by The NOMIS Foundation (Vanishing Glaciers) to T.J.B.; S.B.B. was supported by a Swiss National Science Foundation (CRSII5_180241) grant to T.J.B. and P.W. We extend our gratitude to Laura de Nies, Patrick May, Cedric Laczny, and Valentina Galata for their advice on metagenomic analyses. Computational work was carried out using the HPC facilities of the University of Luxembourg.This work was supported by The NOMIS Foundation (Vanishing Glaciers) to T.J.B.; S.B.B. was supported by a Swiss National Science Foundation (CRSII5_180241) grant to T.J.B. and P.W. We extend our gratitude to Laura de Nies, Patrick May, Cedric Laczny, and Valentina Galata for their advice on metagenomic analyses. Computational work was carried out using the HPC facilities of the University of Luxembourg.
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