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Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra

Understanding the variability of microbial niches and their interaction with abiotic and biotic factors in the Arctic can provide valuable insights into microbial adaptations to extreme environments. This study investigates the structure and diversity of soil bacterial communities obtained from site...

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Autores principales: Wong, Shu-Kuan, Cui, Yingshun, Chun, Seong-Jun, Kaneko, Ryo, Masumoto, Shota, Kitagawa, Ryo, Mori, Akira S., Lim, An Suk, Uchida, Masaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173506/
https://www.ncbi.nlm.nih.gov/pubmed/37165459
http://dx.doi.org/10.1186/s40793-023-00498-6
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author Wong, Shu-Kuan
Cui, Yingshun
Chun, Seong-Jun
Kaneko, Ryo
Masumoto, Shota
Kitagawa, Ryo
Mori, Akira S.
Lim, An Suk
Uchida, Masaki
author_facet Wong, Shu-Kuan
Cui, Yingshun
Chun, Seong-Jun
Kaneko, Ryo
Masumoto, Shota
Kitagawa, Ryo
Mori, Akira S.
Lim, An Suk
Uchida, Masaki
author_sort Wong, Shu-Kuan
collection PubMed
description Understanding the variability of microbial niches and their interaction with abiotic and biotic factors in the Arctic can provide valuable insights into microbial adaptations to extreme environments. This study investigates the structure and diversity of soil bacterial communities obtained from sites with varying vegetation coverage and soil biogeochemical properties in the low Arctic tundra and explores how bacteria interact under different environmental parameters. Our findings reveal differences in bacterial composition and abundance among three bacterial niche breadths (specialists, common taxa, and generalists). Co-occurrence network analysis revealed Rhizobiales and Ktedonobacterales as keystone taxa that connect and support other microbes in the habitat. Low-elevation indicators, such as vascular plants and moisture content, were correlated with two out of three generalist modular hubs and were linked to a large proportion of generalists’ distribution (18%). Structural equation modeling revealed that generalists’ distribution, which influenced the remaining microbial communities, was mainly regulated by vegetation coverage as well as other abiotic and biotic factors. These results suggest that elevation-dependent environmental factors directly influence microbial community structure and module formation through the regulation of generalists’ distribution. Furthermore, the distribution of generalists was mainly affected by macroenvironment filtering, whereas the distribution of specialists was mainly affected by microenvironment filtering (species-engineered microbial niche construction). In summary, our findings highlight the strong top–down control exerted by vegetation on generalists’ distribution, which in turn shapes the overall microbial community structure in the low Arctic tundra. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-023-00498-6.
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spelling pubmed-101735062023-05-12 Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra Wong, Shu-Kuan Cui, Yingshun Chun, Seong-Jun Kaneko, Ryo Masumoto, Shota Kitagawa, Ryo Mori, Akira S. Lim, An Suk Uchida, Masaki Environ Microbiome Research Understanding the variability of microbial niches and their interaction with abiotic and biotic factors in the Arctic can provide valuable insights into microbial adaptations to extreme environments. This study investigates the structure and diversity of soil bacterial communities obtained from sites with varying vegetation coverage and soil biogeochemical properties in the low Arctic tundra and explores how bacteria interact under different environmental parameters. Our findings reveal differences in bacterial composition and abundance among three bacterial niche breadths (specialists, common taxa, and generalists). Co-occurrence network analysis revealed Rhizobiales and Ktedonobacterales as keystone taxa that connect and support other microbes in the habitat. Low-elevation indicators, such as vascular plants and moisture content, were correlated with two out of three generalist modular hubs and were linked to a large proportion of generalists’ distribution (18%). Structural equation modeling revealed that generalists’ distribution, which influenced the remaining microbial communities, was mainly regulated by vegetation coverage as well as other abiotic and biotic factors. These results suggest that elevation-dependent environmental factors directly influence microbial community structure and module formation through the regulation of generalists’ distribution. Furthermore, the distribution of generalists was mainly affected by macroenvironment filtering, whereas the distribution of specialists was mainly affected by microenvironment filtering (species-engineered microbial niche construction). In summary, our findings highlight the strong top–down control exerted by vegetation on generalists’ distribution, which in turn shapes the overall microbial community structure in the low Arctic tundra. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40793-023-00498-6. BioMed Central 2023-05-10 /pmc/articles/PMC10173506/ /pubmed/37165459 http://dx.doi.org/10.1186/s40793-023-00498-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wong, Shu-Kuan
Cui, Yingshun
Chun, Seong-Jun
Kaneko, Ryo
Masumoto, Shota
Kitagawa, Ryo
Mori, Akira S.
Lim, An Suk
Uchida, Masaki
Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title_full Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title_fullStr Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title_full_unstemmed Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title_short Vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low Arctic tundra
title_sort vegetation as a key driver of the distribution of microbial generalists that in turn shapes the overall microbial community structure in the low arctic tundra
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173506/
https://www.ncbi.nlm.nih.gov/pubmed/37165459
http://dx.doi.org/10.1186/s40793-023-00498-6
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