High immigration rates critical for establishing emigration-driven diversity in microbial communities.

artificial microbial consortium emigration and immigration generalized Lotka-Volterra model microbial diversity

Journal

Cell systems
ISSN: 2405-4720
Titre abrégé: Cell Syst
Pays: United States
ID NLM: 101656080

Informations de publication

Date de publication:
16 Feb 2024
Historique:
received: 05 07 2023
revised: 03 12 2023
accepted: 02 02 2024
medline: 25 2 2024
pubmed: 25 2 2024
entrez: 24 2 2024
Statut: aheadofprint

Résumé

Unraveling the mechanisms governing the diversity of ecological communities is a central goal in ecology. Although microbial dispersal constitutes an important ecological process, the effect of dispersal on microbial diversity is poorly understood. Here, we sought to fill this gap by combining a generalized Lotka-Volterra model with experimental investigations. Our model showed that emigration increases the diversity of the community when the immigration rate crosses a defined threshold, which we identified as I

Identifiants

DOI: 10.1016/j.cels.2024.02.001 PMID: 38401538
pubmed: 38401538
pii: S2405-4712(24)00033-4
doi: 10.1016/j.cels.2024.02.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Xiaoli Chen (X)

College of Engineering, Peking University, Beijing 100871, China; Institute of Ocean Research, Peking University, Beijing 100871, China.

Miaoxiao Wang (M)

Department of Environmental Systems Science, ETH Zürich, Zürich 8092, Switzerland; Department of Environmental Microbiology, Eawag, Dübendorf 8600, Switzerland.

Laipeng Luo (L)

College of Engineering, Peking University, Beijing 100871, China.

Liyun An (L)

College of Architecture and Environment, Sichuan University, Chengdu 610000, China.

Xiaonan Liu (X)

College of Engineering, Peking University, Beijing 100871, China.

Yuan Fang (Y)

School of Resource and Environmental Engineering, Hefei University of Technology, Hefei 230000, China.

Ting Huang (T)

School of Resource and Environmental Engineering, Hefei University of Technology, Hefei 230000, China.

Yong Nie (Y)

College of Engineering, Peking University, Beijing 100871, China. Electronic address: nieyong@pku.edu.cn.

Xiao-Lei Wu (XL)

College of Engineering, Peking University, Beijing 100871, China; Institute of Ocean Research, Peking University, Beijing 100871, China; Institute of Ecology, Peking University, Beijing 100871, China. Electronic address: xiaolei_wu@pku.edu.cn.

Classifications MeSH