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Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling

The mechanisms by which large-scale microbial community function emerges from complex ecological interactions between individual taxa and functional groups remain obscure. We leveraged network analyses of 16S rRNA amplicon sequences obtained over a seven-month timeseries in seasonally anoxic Saanich...

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Autores principales: Jameson, Brett D., Murdock, Sheryl A., Ji, Qixing, Stevens, Catherine J., Grundle, Damian S., Kim Juniper, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950131/
https://www.ncbi.nlm.nih.gov/pubmed/36823449
http://dx.doi.org/10.1038/s42003-023-04597-5
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author Jameson, Brett D.
Murdock, Sheryl A.
Ji, Qixing
Stevens, Catherine J.
Grundle, Damian S.
Kim Juniper, S.
author_facet Jameson, Brett D.
Murdock, Sheryl A.
Ji, Qixing
Stevens, Catherine J.
Grundle, Damian S.
Kim Juniper, S.
author_sort Jameson, Brett D.
collection PubMed
description The mechanisms by which large-scale microbial community function emerges from complex ecological interactions between individual taxa and functional groups remain obscure. We leveraged network analyses of 16S rRNA amplicon sequences obtained over a seven-month timeseries in seasonally anoxic Saanich Inlet (Vancouver Island, Canada) to investigate relationships between microbial community structure and water column N(2)O cycling. Taxa separately broadly into three discrete subnetworks with contrasting environmental distributions. Oxycline subnetworks were structured around keystone aerobic heterotrophs that correlated with nitrification rates and N(2)O supersaturations, linking N(2)O production and accumulation to taxa involved in organic matter remineralization. Keystone taxa implicated in anaerobic carbon, nitrogen, and sulfur cycling in anoxic environments clustered together in a low-oxygen subnetwork that correlated positively with nitrification N(2)O yields and N(2)O production from denitrification. Close coupling between N(2)O producers and consumers in the anoxic basin is indicated by strong correlations between the low-oxygen subnetwork, PICRUSt2-predicted nitrous oxide reductase (nosZ) gene abundances, and N(2)O undersaturation. This study implicates keystone taxa affiliated with common ODZ groups as a potential control on water column N(2)O cycling and provides a theoretical basis for further investigations into marine microbial interaction networks.
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spelling pubmed-99501312023-02-25 Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling Jameson, Brett D. Murdock, Sheryl A. Ji, Qixing Stevens, Catherine J. Grundle, Damian S. Kim Juniper, S. Commun Biol Article The mechanisms by which large-scale microbial community function emerges from complex ecological interactions between individual taxa and functional groups remain obscure. We leveraged network analyses of 16S rRNA amplicon sequences obtained over a seven-month timeseries in seasonally anoxic Saanich Inlet (Vancouver Island, Canada) to investigate relationships between microbial community structure and water column N(2)O cycling. Taxa separately broadly into three discrete subnetworks with contrasting environmental distributions. Oxycline subnetworks were structured around keystone aerobic heterotrophs that correlated with nitrification rates and N(2)O supersaturations, linking N(2)O production and accumulation to taxa involved in organic matter remineralization. Keystone taxa implicated in anaerobic carbon, nitrogen, and sulfur cycling in anoxic environments clustered together in a low-oxygen subnetwork that correlated positively with nitrification N(2)O yields and N(2)O production from denitrification. Close coupling between N(2)O producers and consumers in the anoxic basin is indicated by strong correlations between the low-oxygen subnetwork, PICRUSt2-predicted nitrous oxide reductase (nosZ) gene abundances, and N(2)O undersaturation. This study implicates keystone taxa affiliated with common ODZ groups as a potential control on water column N(2)O cycling and provides a theoretical basis for further investigations into marine microbial interaction networks. Nature Publishing Group UK 2023-02-23 /pmc/articles/PMC9950131/ /pubmed/36823449 http://dx.doi.org/10.1038/s42003-023-04597-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Jameson, Brett D.
Murdock, Sheryl A.
Ji, Qixing
Stevens, Catherine J.
Grundle, Damian S.
Kim Juniper, S.
Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title_full Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title_fullStr Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title_full_unstemmed Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title_short Network analysis of 16S rRNA sequences suggests microbial keystone taxa contribute to marine N(2)O cycling
title_sort network analysis of 16s rrna sequences suggests microbial keystone taxa contribute to marine n(2)o cycling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950131/
https://www.ncbi.nlm.nih.gov/pubmed/36823449
http://dx.doi.org/10.1038/s42003-023-04597-5
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