Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency
Molecular Ecology, Volume 32, No. 24, Year 2023
Notification
URL copied to clipboard!
Description
Environmental circumstances shaping soil microbial communities have been studied extensively. However, due to disparate study designs, it has been difficult to resolve whether a globally consistent set of predictors exists, or context-dependency prevails. Here, we used a network of 18 grassland sites (11 of those containing regional plant productivity gradients) to examine (i) if similar abiotic or biotic factors predict both large-scale (across sites) and regional-scale (within sites) patterns in bacterial and fungal community composition, and (ii) if microbial community composition differs consistently at two levels of regional plant productivity (low vs. high). Our results revealed that bacteria were associated with particular soil properties (such as base saturation) and both bacteria and fungi were associated with plant community composition across sites and within the majority of sites. Moreover, a discernible microbial community signal emerged, clearly distinguishing high and low-productivity soils across different grasslands independent of their location in the world. Hence, regional productivity differences may be typified by characteristic soil microbial communities across the grassland biome. These results could encourage future research aiming to predict the general effects of global changes on soil microbial community composition in grasslands and to discriminate fertile from infertile systems using generally applicable microbial indicators. © 2023 John Wiley & Sons Ltd.
Authors & Co-Authors
Radujković, Dajana
Belgium, Antwerpen
Universiteit Antwerpen
Vicca, Sara
Belgium, Antwerpen
Universiteit Antwerpen
Van Rooyen, Margaretha W.
South Africa, Pretoria
University of Pretoria
Wilfahrt, Peter Allan
Germany, Bayreuth
Universität Bayreuth
United States, Minneapolis
University of Minnesota Twin Cities
Brown, Leslie R.
South Africa, Pretoria
University of South Africa
Jentsch, Anke
Germany, Bayreuth
Universität Bayreuth
Reinhart, Kurt O.
United States, Washington, D.c.
Usda Agricultural Research Service
Brown, Charlotte
Canada, Edmonton
University of Alberta
United States, Tucson
The University of Arizona
Jurasinski, Gerald
Germany, Rostock
Universität Rostock
Germany, Greifswald
Universität Greifswald
Askarizadeh, Diana
Iran, Tehran
University of Tehran
Bartha, Sándor
Hungary, Vacratot
Institute of Ecology and Botany
Cahill, James F.
Canada, Edmonton
University of Alberta
Campetella, Giandiego
Italy, Camerino
Università Degli Studi Di Camerino
Canullo, R.
Italy, Camerino
Università Degli Studi Di Camerino
Chelli, Stefano
Italy, Camerino
Università Degli Studi Di Camerino
Enrico, Lucas
Argentina, Buenos Aires
Consejo Nacional de Investigaciones Científicas y Técnicas
Fraser, Lauchlan H.
Canada, Kamloops
Thompson Rivers University
Henry, Hugh A.L.
Canada, London
Western University
Höhn, M.
Hungary, Godollo
Hungarian University of Agriculture and Life Sciences
Jouri, Mohammad Hassan
Iran, Tehran
Islamic Azad University
Koch, Marian
Germany, Rostock
Universität Rostock
Lawrence Lodge, Rachael H.E.
New Zealand, Dunedin
University of Otago
Milligan, Patrick D.
United States, Gainesville
University of Florida
Palmer, Todd M.
United States, Gainesville
University of Florida
Verbruggen, Erik
Belgium, Antwerpen
Universiteit Antwerpen
Statistics
Authors: 25
Affiliations: 22
Identifiers
Doi:
10.1111/mec.17178
ISSN:
09621083
Study Approach
Qualitative