Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency

dc.contributor.authorRadujković, Dajana
dc.contributor.authorVicca, Sara
dc.contributor.authorVan Rooyen, Margaretha W.
dc.contributor.authorWilfahrt, Peter A.
dc.contributor.authorBrown, Leslie
dc.contributor.authorJentsch, Anke
dc.contributor.authorReinhart, Kurt O.
dc.contributor.authorBrown, Charlotte
dc.contributor.authorDe Gruyter, Johan
dc.contributor.authorJurasinski, Gerald
dc.contributor.authorAskarizadeh, Diana
dc.contributor.authorBartha, Sandor
dc.contributor.authorBeck, Ryan
dc.contributor.authorBlenkinsopp, Theodore
dc.contributor.authorCahill, James
dc.contributor.authorCampetella, Giandiego
dc.contributor.authorCanullo, Roberto
dc.contributor.authorChelli, Stefano
dc.contributor.authorEnrico, Lucas
dc.contributor.authorFraser, Lauchlan H.
dc.contributor.authorHao, Xiying
dc.contributor.authorHenry, Hugh A.L.
dc.contributor.authorHohn, Maria
dc.contributor.authorJouri, Mohammad Hassan
dc.contributor.authorKoch, Marian
dc.contributor.authorLawrence Lodge, Rachael
dc.contributor.authorLi, Frank Yonghong
dc.contributor.authorLord, Janice M.
dc.contributor.authorMilligan, Patrick
dc.contributor.authorMinggagud, Hugjiltu
dc.contributor.authorPalmer, Todd
dc.contributor.authorSchroder, Birgit
dc.contributor.authorSzabó, Gábor
dc.contributor.authorZhang, Tongrui
dc.contributor.authorZimmermann, Zita
dc.contributor.authorVerbruggen, Erik
dc.date.accessioned2024-01-22T10:06:26Z
dc.date.issued2023-12
dc.descriptionDATA AVAILABILITY STATEMENT : The data and the R script describing the steps of the analyses are deposited in the Dryad repository doi:10.5061/dryad.0k6djhb4z. Raw bacterial and fungal sequences are deposited in NCBI SRA database with the following accession numbers PRJNA966933 and PRJNA970213, respectively.en_US
dc.description.abstractEnvironmental 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.en_US
dc.description.departmentPlant Production and Soil Scienceen_US
dc.description.embargo2024-10-24
dc.description.librarianhj2024en_US
dc.description.sdgNoneen_US
dc.description.sponsorshipEuropean Research Council grant; GINOP- 2.3.2- 15-2016-00019 project; Methusalem funding of the Research Council UA; Research Foundation—Flanders (FWO).en_US
dc.description.urihttp://www.wileyonlinelibrary.com/journal/mecen_US
dc.identifier.citationRadujković, D., Vicca, S., van Rooyen, M., Wilfahrt, P., Brown, L., Jentsch, A., Reinhart, K. O., Brown, C., De Gruyter, J., Jurasinski, G., Askarizadeh, D., Bartha, S., Beck, R., Blenkinsopp, T., Cahill, J., Campetella, G., Canullo, R., Chelli, S., Enrico, L. ... Verbruggen, E. (2023). Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency. Molecular Ecology, 32, 6924–6938. https://doi.org/10.1111/mec.17178.en_US
dc.identifier.issn0962-1083 (print)
dc.identifier.issn1365-294X (online)
dc.identifier.other10.1111/mec.17178
dc.identifier.urihttp://hdl.handle.net/2263/94046
dc.language.isoenen_US
dc.publisherWileyen_US
dc.rights© 2023 John Wiley & Sons Ltd. This is the pre-peer reviewed version of the following article : Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency. Molecular Ecology, vol. 32, pp. 6924–6938, 2023. https://doi.org/10.1111/mec.17178. The definite version is available at : http://wileyonlinelibrary.com/journal/mec.en_US
dc.subjectBacterial community compositionen_US
dc.subjectFungal community compositionen_US
dc.subjectPlant community compositionen_US
dc.subjectPlant productivityen_US
dc.subjectSoil propertiesen_US
dc.subjectSpatial scaleen_US
dc.titleConsistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependencyen_US
dc.typePostprint Articleen_US

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