Microbial ecological clusters structured by environments drive maize residue decomposition at the continental scale

文献类型： 外文期刊

第一作者： Zhang, Meiling

作者： Zhang, Meiling;Wang, Shiyu;Zhang, Liyu;Huang, Shuyu;Xu, Xinpeng;He, Ping;Zhou, Wei;Ai, Chao;Zhang, Meiling;Wang, Shiyu;Zhang, Liyu;Huang, Shuyu;Xu, Xinpeng;He, Ping;Zhou, Wei;Ai, Chao;Li, Wentao;Cao, Mengmeng;Philippot, Laurent;Ai, Chao

作者机构：

关键词： Agricultural ecosystems; Environmental factors; Maize residue decomposition; Soil microbiome; Biogeographic pattern; Ecological clusters

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2023 年 902 卷

页码：

收录情况： SCI

摘要： Environmental factors (e.g., climate and edaphic factors) indirectly regulate residue decomposition via microbial communities. Microbial ecological clusters (eco-clusters) structured by specific environmental factors have consequences for ecosystem functions. However, less is known about how microbial eco-clusters affect residue decomposition, especially over broad geographic scales. We collected agricultural soils from adjacent pairs of upland and paddy fields along a latitudinal gradient from the cold-temperature zone to the tropical zone, and conducted a microcosm experiment with 13C-labelled maize residue to explore the continental pattern of maize residue-derived 13CO2 (RDC), and whether and how microbial eco-clusters drive and predict RDC. Results showed that RDC decreased with latitude in both upland and paddy fields. Further, we identified 21 well-defined eco-clusters according to microbial environmental preferences, which explained 51.15 % of the spatial variations in RDC. The eco-clusters of high-total annual precipitation (TAP), high-mean annual temperature (MAT), low pH, and some low-nutrient-associated exerted a positive effect on RDC. These eco-clusters contained many taxa belonging to the Actinobacteriota, Firmicutes, and Sordariomycetes, and their relative abundance decreased with latitude. Upland soils displayed 2.40-fold of RDC over paddy soils. Low-pH and high-organic matter (OM) eco-clusters were found to be the most prominent predictors of RDC in upland and paddy fields, respectively. Finally, we constructed a continental atlas of RDC in both upland and paddy fields based on eco-clusters and high-resolution climate and soil data. Overall, our study provides important evidence that historical environment-shaped microbial eco-clusters can drive and predict residue decomposition, providing new insights into how environmental factors indirectly regulate residue decomposition.

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