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A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches

Soil microbes act as “players” in regulating biogeochemical cycles, whereas environmental heterogeneity drives microbial community assembly patterns and is influenced by stochastic and deterministic ecological processes. Currently, the limited understanding of soil microbial community assembly patte...

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Autores principales: Kang, Peng, Pan, Yaqing, Yang, Pan, Hu, Jinpeng, Zhao, Tongli, Zhang, Yaqi, Ding, Xiaodong, Yan, Xingfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589112/
https://www.ncbi.nlm.nih.gov/pubmed/36299726
http://dx.doi.org/10.3389/fmicb.2022.1018077
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author Kang, Peng
Pan, Yaqing
Yang, Pan
Hu, Jinpeng
Zhao, Tongli
Zhang, Yaqi
Ding, Xiaodong
Yan, Xingfu
author_facet Kang, Peng
Pan, Yaqing
Yang, Pan
Hu, Jinpeng
Zhao, Tongli
Zhang, Yaqi
Ding, Xiaodong
Yan, Xingfu
author_sort Kang, Peng
collection PubMed
description Soil microbes act as “players” in regulating biogeochemical cycles, whereas environmental heterogeneity drives microbial community assembly patterns and is influenced by stochastic and deterministic ecological processes. Currently, the limited understanding of soil microbial community assembly patterns and interactions under temperate forest stand differences pose a challenge in studying the soil microbial involvement during the succession from coniferous to broad-leaved forests. This study investigated the changes in soil bacterial and fungal community diversity and community structure at the regional scale and identified the pathways influencing soil microbial assembly patterns and their interactions. The results showed that broad-leaved forest cover in temperate forests significantly increased soil pH, and effectively increased soil water content, total carbon (TC), total nitrogen (TN), and total phosphorus (TP) contents. Both soil bacterial and fungal alpha diversity indices were correlated with soil physicochemical properties, especially in broad-leaved forest. The bacterial and fungal community composition of coniferous forest was dominated by deterministic process (bacteria: 69.4%; fungi: 88.9%), while the bacterial community composition of broad-leaved forest was dominated by stochastic process (77.8%) and the fungal community composition was dominated by deterministic process (52.8%). Proteobacteria, Acidobacteriota, Actinobacteriota, and Verrucomicrobiota were the dominant phyla of soil bacterial communities in temperate forests. Whereas Ascomycota, Mortierellomycota, Basidiomycota, and Rozellomycota were the dominant phyla of soil fungal communities in temperate forests. Most members of dominant phylum were regulated by soil physical and chemical properties. In addition, the succession from temperate coniferous forest to broad-leaved forest was conducive to maintaining the complex network of soil bacteria and fungi, and the top 20 degree of the major taxa in the network reflected the positive response of microbial interactions to the changes of soil nutrients during forest succession. This study not only shows the mechanism by which species differences in temperate forests of northern China affect soil microbial community assembly processes, but also further emphasizes the importance of the soil microbiome as a key ecosystem factor through co-occurrence network analysis.
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spelling pubmed-95891122022-10-25 A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches Kang, Peng Pan, Yaqing Yang, Pan Hu, Jinpeng Zhao, Tongli Zhang, Yaqi Ding, Xiaodong Yan, Xingfu Front Microbiol Microbiology Soil microbes act as “players” in regulating biogeochemical cycles, whereas environmental heterogeneity drives microbial community assembly patterns and is influenced by stochastic and deterministic ecological processes. Currently, the limited understanding of soil microbial community assembly patterns and interactions under temperate forest stand differences pose a challenge in studying the soil microbial involvement during the succession from coniferous to broad-leaved forests. This study investigated the changes in soil bacterial and fungal community diversity and community structure at the regional scale and identified the pathways influencing soil microbial assembly patterns and their interactions. The results showed that broad-leaved forest cover in temperate forests significantly increased soil pH, and effectively increased soil water content, total carbon (TC), total nitrogen (TN), and total phosphorus (TP) contents. Both soil bacterial and fungal alpha diversity indices were correlated with soil physicochemical properties, especially in broad-leaved forest. The bacterial and fungal community composition of coniferous forest was dominated by deterministic process (bacteria: 69.4%; fungi: 88.9%), while the bacterial community composition of broad-leaved forest was dominated by stochastic process (77.8%) and the fungal community composition was dominated by deterministic process (52.8%). Proteobacteria, Acidobacteriota, Actinobacteriota, and Verrucomicrobiota were the dominant phyla of soil bacterial communities in temperate forests. Whereas Ascomycota, Mortierellomycota, Basidiomycota, and Rozellomycota were the dominant phyla of soil fungal communities in temperate forests. Most members of dominant phylum were regulated by soil physical and chemical properties. In addition, the succession from temperate coniferous forest to broad-leaved forest was conducive to maintaining the complex network of soil bacteria and fungi, and the top 20 degree of the major taxa in the network reflected the positive response of microbial interactions to the changes of soil nutrients during forest succession. This study not only shows the mechanism by which species differences in temperate forests of northern China affect soil microbial community assembly processes, but also further emphasizes the importance of the soil microbiome as a key ecosystem factor through co-occurrence network analysis. Frontiers Media S.A. 2022-10-10 /pmc/articles/PMC9589112/ /pubmed/36299726 http://dx.doi.org/10.3389/fmicb.2022.1018077 Text en Copyright © 2022 Kang, Pan, Yang, Hu, Zhao, Zhang, Ding and Yan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Kang, Peng
Pan, Yaqing
Yang, Pan
Hu, Jinpeng
Zhao, Tongli
Zhang, Yaqi
Ding, Xiaodong
Yan, Xingfu
A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title_full A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title_fullStr A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title_full_unstemmed A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title_short A comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
title_sort comparison of microbial composition under three tree ecosystems using the stochastic process and network complexity approaches
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9589112/
https://www.ncbi.nlm.nih.gov/pubmed/36299726
http://dx.doi.org/10.3389/fmicb.2022.1018077
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