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Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils

Soil microorganisms are considered to be important indicators of soil fertility and soil quality. Most previous studies have focused solely on surface soil, but there were numerous active cells in deeper soil layers. However, studies regarding microbial communities in deeper soil layers were not com...

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Autores principales: Yu, Hang, Xue, Dongmei, Wang, Yidong, Zheng, Wei, Zhang, Guilong, Wang, Zhong‐Liang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066466/
https://www.ncbi.nlm.nih.gov/pubmed/31902141
http://dx.doi.org/10.1002/mbo3.983
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author Yu, Hang
Xue, Dongmei
Wang, Yidong
Zheng, Wei
Zhang, Guilong
Wang, Zhong‐Liang
author_facet Yu, Hang
Xue, Dongmei
Wang, Yidong
Zheng, Wei
Zhang, Guilong
Wang, Zhong‐Liang
author_sort Yu, Hang
collection PubMed
description Soil microorganisms are considered to be important indicators of soil fertility and soil quality. Most previous studies have focused solely on surface soil, but there were numerous active cells in deeper soil layers. However, studies regarding microbial communities in deeper soil layers were not comprehensive and sufficient. In this study, phylogenetic molecular ecological networks (pMENs) based on the 16S rRNA Miseq sequencing technique were applied to study the response of soil microbial communities to depth gradients and the changes of key genera along 3 meter depth gradients (0–0.2 m, 0.2–0.4 m 0.4–0.6 m, 0.6–0.8 m, 0.8–1.0 m, 1.0–1.3 m, 1.3–1.6 m, 1.6–2.0 m, 2.0–2.5 m, and 2.5–3.0 m). The results showed that the modularity of microbial communities was consistently high in all soil layers and each layer was similar, which indicated that microbial communities were more resistant to depth changes. The pMENs further demonstrated that microbial community interactions were stable as the depth increased and they cooperated well to adapt to changes in different soil gradients. This was evidenced by similar positive links, average degree, and average clustering coefficient. In addition, key genera were obtained by analyzing module hubs in the pMENs. There may be at least one dominant genus in each layer that adapted to and resisted changes in the soil environment. It seems microbial communities demonstrate a stable and strong adaptability to depth gradients in farmland soils.
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spelling pubmed-70664662020-03-18 Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils Yu, Hang Xue, Dongmei Wang, Yidong Zheng, Wei Zhang, Guilong Wang, Zhong‐Liang Microbiologyopen Original Articles Soil microorganisms are considered to be important indicators of soil fertility and soil quality. Most previous studies have focused solely on surface soil, but there were numerous active cells in deeper soil layers. However, studies regarding microbial communities in deeper soil layers were not comprehensive and sufficient. In this study, phylogenetic molecular ecological networks (pMENs) based on the 16S rRNA Miseq sequencing technique were applied to study the response of soil microbial communities to depth gradients and the changes of key genera along 3 meter depth gradients (0–0.2 m, 0.2–0.4 m 0.4–0.6 m, 0.6–0.8 m, 0.8–1.0 m, 1.0–1.3 m, 1.3–1.6 m, 1.6–2.0 m, 2.0–2.5 m, and 2.5–3.0 m). The results showed that the modularity of microbial communities was consistently high in all soil layers and each layer was similar, which indicated that microbial communities were more resistant to depth changes. The pMENs further demonstrated that microbial community interactions were stable as the depth increased and they cooperated well to adapt to changes in different soil gradients. This was evidenced by similar positive links, average degree, and average clustering coefficient. In addition, key genera were obtained by analyzing module hubs in the pMENs. There may be at least one dominant genus in each layer that adapted to and resisted changes in the soil environment. It seems microbial communities demonstrate a stable and strong adaptability to depth gradients in farmland soils. John Wiley and Sons Inc. 2020-01-05 /pmc/articles/PMC7066466/ /pubmed/31902141 http://dx.doi.org/10.1002/mbo3.983 Text en © 2020 The Authors. MicrobiologyOpen published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Yu, Hang
Xue, Dongmei
Wang, Yidong
Zheng, Wei
Zhang, Guilong
Wang, Zhong‐Liang
Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title_full Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title_fullStr Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title_full_unstemmed Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title_short Molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
title_sort molecular ecological network analysis of the response of soil microbial communities to depth gradients in farmland soils
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7066466/
https://www.ncbi.nlm.nih.gov/pubmed/31902141
http://dx.doi.org/10.1002/mbo3.983
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