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The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes

Shallow thermokarst ponds are a conspicuous landscape element of the Arctic Siberian tundra with high biogeochemical variability. Little is known about how microbes from the regional species pool assemble into local pond communities and how the resulting patterns affect functional properties such as...

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Autores principales: Le Moigne, Alizée, Bartosiewicz, Maciej, Schaepman‐Strub, Gabriela, Abiven, Samuel, Pernthaler, Jakob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702111/
https://www.ncbi.nlm.nih.gov/pubmed/32996246
http://dx.doi.org/10.1111/1462-2920.15260
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author Le Moigne, Alizée
Bartosiewicz, Maciej
Schaepman‐Strub, Gabriela
Abiven, Samuel
Pernthaler, Jakob
author_facet Le Moigne, Alizée
Bartosiewicz, Maciej
Schaepman‐Strub, Gabriela
Abiven, Samuel
Pernthaler, Jakob
author_sort Le Moigne, Alizée
collection PubMed
description Shallow thermokarst ponds are a conspicuous landscape element of the Arctic Siberian tundra with high biogeochemical variability. Little is known about how microbes from the regional species pool assemble into local pond communities and how the resulting patterns affect functional properties such as dissolved organic carbon (DOC) remineralization and greenhouse gas (GHG) turnover. We analysed the pelagic microbiomes of 20 ponds in north‐eastern Siberia in the context of their physico‐chemical properties. Ponds were categorized as polygonal or trough according to their geomorphological origin. The diversity of bacteria and eukaryotic microbes was assessed by ribosomal gene tag sequencing. Null model analysis revealed an important role of stochastic assembly processes within ponds of identical origin, in particular for genotypes only occurring in few systems. Nevertheless, the two pond types clearly represented distinct niches for both the bacterial and eukaryotic microbial communities. Carbon dioxide concentration, indicative of heterotrophic microbial processes, varied greatly, especially in the trough ponds. Methane concentrations were lower in polygonal ponds and were correlated with the estimated abundance of methanotrophs. Thus, the overall functional variability of Arctic ponds reflects the stochastic assembly of their microbial communities. Distinct functional subcommunities can, nevertheless, be related to GHG concentrations.
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spelling pubmed-77021112020-12-14 The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes Le Moigne, Alizée Bartosiewicz, Maciej Schaepman‐Strub, Gabriela Abiven, Samuel Pernthaler, Jakob Environ Microbiol Research Articles Shallow thermokarst ponds are a conspicuous landscape element of the Arctic Siberian tundra with high biogeochemical variability. Little is known about how microbes from the regional species pool assemble into local pond communities and how the resulting patterns affect functional properties such as dissolved organic carbon (DOC) remineralization and greenhouse gas (GHG) turnover. We analysed the pelagic microbiomes of 20 ponds in north‐eastern Siberia in the context of their physico‐chemical properties. Ponds were categorized as polygonal or trough according to their geomorphological origin. The diversity of bacteria and eukaryotic microbes was assessed by ribosomal gene tag sequencing. Null model analysis revealed an important role of stochastic assembly processes within ponds of identical origin, in particular for genotypes only occurring in few systems. Nevertheless, the two pond types clearly represented distinct niches for both the bacterial and eukaryotic microbial communities. Carbon dioxide concentration, indicative of heterotrophic microbial processes, varied greatly, especially in the trough ponds. Methane concentrations were lower in polygonal ponds and were correlated with the estimated abundance of methanotrophs. Thus, the overall functional variability of Arctic ponds reflects the stochastic assembly of their microbial communities. Distinct functional subcommunities can, nevertheless, be related to GHG concentrations. John Wiley & Sons, Inc. 2020-10-13 2020-11 /pmc/articles/PMC7702111/ /pubmed/32996246 http://dx.doi.org/10.1111/1462-2920.15260 Text en © 2020 The Authors. Environmental Microbiology published by Society for Applied Microbiology and John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Le Moigne, Alizée
Bartosiewicz, Maciej
Schaepman‐Strub, Gabriela
Abiven, Samuel
Pernthaler, Jakob
The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title_full The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title_fullStr The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title_full_unstemmed The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title_short The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
title_sort biogeochemical variability of arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7702111/
https://www.ncbi.nlm.nih.gov/pubmed/32996246
http://dx.doi.org/10.1111/1462-2920.15260
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