» Articles » PMID: 38867731

Linking Soil Fungi to Bacterial Community Assembly in Arid Ecosystems

Overview
Journal Imeta
Specialty Biology
Date 2024 Jun 13
PMID 38867731
Authors
Affiliations
Soon will be listed here.
Abstract

Revealing the roles of biotic factors in driving community assembly, which is crucial for the understanding of biodiversity and ecosystem functions, is a fundamental but infrequently investigated subject in microbial ecology. Here, combining a cross-biome observational study with an experimental microcosm study, we provided evidence to reveal the major roles of biotic factors (i.e., soil fungi and cross-kingdom species associations) in determining soil bacterial biogeography and community assembly in complex terrestrial ecosystems of the arid regions of northwest China. The results showed that the soil fungal richness mediates the balance of assembly processes of bacterial communities, and stochastic assembly processes decreased with increasing fungal richness. Our results further suggest that the predicted increase in aridity conditions due to climate change will reduce bacterial α-diversity, particularly in desert soils and subsurface layer, and induce more negative species associations. Together, our study represents a significant advance in linking soil fungi to the mechanisms underlying bacterial biogeographic patterns and community assembly in arid ecosystems under climate aridity and land-use change scenarios.

Citing Articles

Metagenomic Insights into the Enhancement of Bioavailable Nitrogen in Continuous Cropping Soil Through the Application of Traditional Chinese Medicine Residue Following Fumigation.

Xu X, Gao X, Gui C, Wang H, Liu X, Wu G Genes (Basel). 2025; 15(12.

PMID: 39766799 PMC: 11675737. DOI: 10.3390/genes15121532.


Distinct spatiotemporal patterns between fungal alpha and beta diversity of soil-plant continuum in rubber tree.

Wei Y, Wu Z, Lan G Microbiol Spectr. 2024; 13(2):e0209724.

PMID: 39727398 PMC: 11792516. DOI: 10.1128/spectrum.02097-24.


Spatiotemporal distributions, co-occurrence networks, and assembly mechanisms of the bacterial community in sediments of the Yangtze River: comprehensive insights into abundant and rare taxa.

Zhang G, Liu S, Du W, Li Y, Wu Z, Liu T Front Microbiol. 2024; 15:1444206.

PMID: 39723140 PMC: 11668926. DOI: 10.3389/fmicb.2024.1444206.


Stochastic Processes Dominate the Assembly of Soil Bacterial Communities of Land Use Patterns in Lesser Khingan Mountains, Northeast China.

Ding J, Yu S Life (Basel). 2024; 14(11).

PMID: 39598205 PMC: 11595491. DOI: 10.3390/life14111407.


Interpretation of bacterial composition patterns and community assembly processes in the rhizosphere soil of tea trees in karst areas.

Zhao Y, Zhang N, Chen J, Ran W, Zhao Z, Song Y BMC Microbiol. 2024; 24(1):492.

PMID: 39578749 PMC: 11585092. DOI: 10.1186/s12866-024-03658-x.


References
1.
Fierer N, Strickland M, Liptzin D, Bradford M, Cleveland C . Global patterns in belowground communities. Ecol Lett. 2009; 12(11):1238-49. DOI: 10.1111/j.1461-0248.2009.01360.x. View

2.
Fierer N . Embracing the unknown: disentangling the complexities of the soil microbiome. Nat Rev Microbiol. 2017; 15(10):579-590. DOI: 10.1038/nrmicro.2017.87. View

3.
Ma B, Wang Y, Ye S, Liu S, Stirling E, Gilbert J . Earth microbial co-occurrence network reveals interconnection pattern across microbiomes. Microbiome. 2020; 8(1):82. PMC: 7273686. DOI: 10.1186/s40168-020-00857-2. View

4.
Carr A, Diener C, Baliga N, Gibbons S . Use and abuse of correlation analyses in microbial ecology. ISME J. 2019; 13(11):2647-2655. PMC: 6794304. DOI: 10.1038/s41396-019-0459-z. View

5.
Freilich S, Kreimer A, Meilijson I, Gophna U, Sharan R, Ruppin E . The large-scale organization of the bacterial network of ecological co-occurrence interactions. Nucleic Acids Res. 2010; 38(12):3857-68. PMC: 2896517. DOI: 10.1093/nar/gkq118. View