Literature DB >> 36100325

Microbial generalists and specialists differently contribute to the community diversity in farmland soils.

Qicheng Xu1, Philippe Vandenkoornhuyse2, Ling Li1, Junjie Guo1, Chen Zhu1, Shiwei Guo1, Ning Ling3, Qirong Shen1.   

Abstract

INTRODUCTION: Microbial generalists and specialists are thought to have distinct impacts on community dynamics, while there have been limited efforts to estimate their contribution to microbial diversity.
OBJECTIVES: We aimed to resolve this research gap in microbial ecology to strengthen our understanding of the biogeography of microbial diversity, with implications for global-scale biodiversity mapping.
METHODS: Herein, we identified the ecological characteristics of microbial generalists and specialists across over 3,000 farmland soil samples from eleven countries that encompassed seven climate types.
RESULTS: Considering the distinct distributions of generalists and specialists in degree of connexions, betweenness and as key species in network topology, both generalists and specialists contributed to species interactions, though through different modalities. A stronger signature of deterministic processes in specialists indicated their lower tolerance to environment fluctuations. Generalists, in contrast, were more characterized by stochastic processes with higher diversification and transition rates that suggested more important roles in maintaining community stability when exposed to environmental disturbances. The relationship between latitude and diversity combining with distance-decay effects showed that generalists dampened microbial biogeographical patterns, with contrasting impacts by specialists.
CONCLUSION: By demonstrating the ecological characteristics of microbial generalists and specialists, this study deepens our understanding of microbial diversity and highlights the need to impart systematic distinctions among different categories of species when modelling and predicting the fate of ecosystems in the face of global climate change, rather than assuming that species are functionally equivalent.
Copyright © 2022. Production and hosting by Elsevier B.V.

Entities:  

Keywords:  Biogeographical pattern; Community assembly; Community diversity; Niche breadth; Species interaction

Mesh:

Substances:

Year:  2021        PMID: 36100325      PMCID: PMC9481938          DOI: 10.1016/j.jare.2021.12.003

Source DB:  PubMed          Journal:  J Adv Res        ISSN: 2090-1224            Impact factor:   12.822


  44 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-24       Impact factor: 11.205

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Authors:  Diana R Nemergut; Steven K Schmidt; Tadashi Fukami; Sean P O'Neill; Teresa M Bilinski; Lee F Stanish; Joseph E Knelman; John L Darcy; Ryan C Lynch; Phillip Wickey; Scott Ferrenberg
Journal:  Microbiol Mol Biol Rev       Date:  2013-09       Impact factor: 11.056

Review 5.  Microbial syntrophy: interaction for the common good.

Authors:  Brandon E L Morris; Ruth Henneberger; Harald Huber; Christine Moissl-Eichinger
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Journal:  Mol Ecol       Date:  2021-10-19       Impact factor: 6.185

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Authors:  Bonnie G Waring; Colin Averill; Christine V Hawkes
Journal:  Ecol Lett       Date:  2013-05-22       Impact factor: 9.492

8.  Functional molecular ecological networks.

Authors:  Jizhong Zhou; Ye Deng; Feng Luo; Zhili He; Qichao Tu; Xiaoyang Zhi
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9.  Metabolite cross-feeding enhances virulence in a model polymicrobial infection.

Authors:  Matthew M Ramsey; Kendra P Rumbaugh; Marvin Whiteley
Journal:  PLoS Pathog       Date:  2011-03-31       Impact factor: 6.823

10.  Representation of dormant and active microbial dynamics for ecosystem modeling.

Authors:  Gangsheng Wang; Melanie A Mayes; Lianhong Gu; Christopher W Schadt
Journal:  PLoS One       Date:  2014-02-18       Impact factor: 3.240

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