Climate warming enhances microbial network complexity by increasing bacterial diversity and fungal interaction strength in litter decomposition.

Climate warming Litter decomposition Microbial network complexity Phase transition Wetland bacteria and fungi

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
15 Jan 2024
Historique:
received: 20 09 2023
revised: 06 11 2023
accepted: 07 11 2023
medline: 27 11 2023
pubmed: 11 11 2023
entrez: 10 11 2023
Statut: ppublish

Résumé

Microbial communities are important drivers of plant litter decomposition; however, the mechanisms of microbial co-occurrence networks and their network interaction dynamics in response to climate warming in wetlands remain unclear. Here, we conducted a 1.5-year warming experiment on the bacterial and fungal communities involved in litter decomposition in a typical wetland. The results showed that warming accelerated the decomposition of litter and had a greater effect on the diversity of bacteria than on that of fungi. Dominant bacterial communities, such as Bacteroidia, Alphaproteobacteria, and Actinobacteria, and dominant fungal communities, such as Leotiomycetes and Sordariomycetes, showed significant positive correlations with lignin and cellulose. Co-occurrence networks revealed that the average path length and betweenness centrality under warming conditions increased in the bacterial community but decreased in the fungal community. Both bacterial and fungal networks in the 2.0 °C warming treatment had the highest ratio of positive links (58.53 % and 98.14 %), indicating that moderate warming can promote the positive correlations and symbiotic relationships observed in the microbial community. This also suggests that small-world characteristics and weak-link advantages accelerate diffusion, and scale-free features facilitate propagation in microbial communities in response to climate warming. Logistic growth and Lotka-Volterra competition models revealed that climate warming enhances microbial network complexity mainly by increasing bacterial diversity and fungal interaction strength in litter decomposition. However, the symbiotic relationship decreased slightly under 4.0 °C warming, indicating that climate warming is a random attack rather than a targeted attack, and the microbial network has strong resistance to random attack, as shown by the highly robust dynamic performance of the microbial network in litter decomposition. Overall, the microbial community in litter decomposition responded to climate warming and shifted its network interactions, leading to further changes in emergent network topology and dynamics, thus accelerating litter decomposition in wetlands.

Identifiants

pubmed: 37949122
pii: S0048-9697(23)07072-9
doi: 10.1016/j.scitotenv.2023.168444
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

168444

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Guodong Liu (G)

College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China; Key Laboratory of Lake Nansi Wetland Ecological and Environmental Protection, Rizhao 276826, China. Electronic address: lgd102378@163.com.

Jinfang Sun (J)

College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China; Key Laboratory of Lake Nansi Wetland Ecological and Environmental Protection, Rizhao 276826, China. Electronic address: shandongsjf@126.com.

Peng Xie (P)

College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China.

Chao Guo (C)

College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China.

Kaixiang Zhu (K)

College of Geography and Tourism, Qufu Normal University, Rizhao 276826, China.

Kun Tian (K)

National Plateau Wetlands Research Center/Southwest Forestry University, Kunming 650224, China.

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Classifications MeSH