The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes
Shallow thermokarst ponds are a conspicuous land-scape 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 a...
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2020
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ftunivzuerich:oai:www.zora.uzh.ch:192134 2024-06-23T07:48:35+00:00 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 2020-11-01 application/pdf https://www.zora.uzh.ch/id/eprint/192134/ https://www.zora.uzh.ch/id/eprint/192134/1/2020_Abiven_1462-2920.15260.pdf https://doi.org/10.5167/uzh-192134 https://doi.org/10.1111/1462-2920.15260 eng eng Wiley-Blackwell Publishing, Inc. https://www.zora.uzh.ch/id/eprint/192134/1/2020_Abiven_1462-2920.15260.pdf doi:10.5167/uzh-192134 doi:10.1111/1462-2920.15260 urn:issn:1462-2912 info:eu-repo/semantics/openAccess Le Moigne, Alizée; Bartosiewicz, Maciej; Schaepman‐Strub, Gabriela; Abiven, Samuel; Pernthaler, Jakob (2020). The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes. Environmental Microbiology, 22(11):4847-4862. Institute of Geography Department of Plant and Microbial Biology Global Change and Biodiversity 910 Geography & travel Ecology Evolution Behavior and Systematics Microbiology Journal Article PeerReviewed info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2020 ftunivzuerich https://doi.org/10.5167/uzh-19213410.1111/1462-2920.15260 2024-06-12T00:39:04Z Shallow thermokarst ponds are a conspicuous land-scape 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. Carbondioxide 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. Article in Journal/Newspaper Arctic Arctic Thermokarst Tundra Siberia University of Zurich (UZH): ZORA (Zurich Open Repository and Archive Arctic |
institution |
Open Polar |
collection |
University of Zurich (UZH): ZORA (Zurich Open Repository and Archive |
op_collection_id |
ftunivzuerich |
language |
English |
topic |
Institute of Geography Department of Plant and Microbial Biology Global Change and Biodiversity 910 Geography & travel Ecology Evolution Behavior and Systematics Microbiology |
spellingShingle |
Institute of Geography Department of Plant and Microbial Biology Global Change and Biodiversity 910 Geography & travel Ecology Evolution Behavior and Systematics Microbiology 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 |
topic_facet |
Institute of Geography Department of Plant and Microbial Biology Global Change and Biodiversity 910 Geography & travel Ecology Evolution Behavior and Systematics Microbiology |
description |
Shallow thermokarst ponds are a conspicuous land-scape 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. Carbondioxide 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. |
format |
Article in Journal/Newspaper |
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 |
title |
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_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_sort |
biogeochemical variability of arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes |
publisher |
Wiley-Blackwell Publishing, Inc. |
publishDate |
2020 |
url |
https://www.zora.uzh.ch/id/eprint/192134/ https://www.zora.uzh.ch/id/eprint/192134/1/2020_Abiven_1462-2920.15260.pdf https://doi.org/10.5167/uzh-192134 https://doi.org/10.1111/1462-2920.15260 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arctic Thermokarst Tundra Siberia |
genre_facet |
Arctic Arctic Thermokarst Tundra Siberia |
op_source |
Le Moigne, Alizée; Bartosiewicz, Maciej; Schaepman‐Strub, Gabriela; Abiven, Samuel; Pernthaler, Jakob (2020). The biogeochemical variability of Arctic thermokarst ponds is reflected by stochastic and niche‐driven microbial community assembly processes. Environmental Microbiology, 22(11):4847-4862. |
op_relation |
https://www.zora.uzh.ch/id/eprint/192134/1/2020_Abiven_1462-2920.15260.pdf doi:10.5167/uzh-192134 doi:10.1111/1462-2920.15260 urn:issn:1462-2912 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5167/uzh-19213410.1111/1462-2920.15260 |
_version_ |
1802638948408754176 |