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Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments
Published on: July 24, 2018
Microbial ecological clusters structured by environments drive maize residue decomposition at the continental scale
Meiling Zhang1, Shiyu Wang1, Liyu Zhang1
1State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, the Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Key Laboratory of Plant Nutrition and Fertilizer, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.
Microbial communities, shaped by environmental factors, influence residue decomposition across latitudes. Specific microbial eco-clusters, linked to climate and soil conditions, predict decomposition rates, with upland soils showing higher rates than paddy soils.
Area of Science:
- Soil Science
- Microbiology
- Ecology
Background:
- Environmental factors like climate and soil properties indirectly control residue decomposition by influencing microbial communities.
- Microbial ecological clusters (eco-clusters), structured by environmental factors, impact ecosystem functions, but their role in residue decomposition across large geographic areas is not well understood.
Purpose of the Study:
- To investigate the continental patterns of maize residue-derived carbon dioxide (RDC) across a latitudinal gradient.
- To determine if and how microbial eco-clusters drive and predict RDC.
- To create a continental atlas of RDC in upland and paddy fields.
Main Methods:
- Collected agricultural soils from paired upland and paddy fields along a latitudinal gradient.
- Conducted a microcosm experiment using 13C-labeled maize residue.
- Identified microbial eco-clusters based on microbial environmental preferences and analyzed their relationship with RDC.
Main Results:
- RDC decreased with increasing latitude in both soil types.
- Identified 21 microbial eco-clusters that explained 51.15% of the spatial variation in RDC.
- Eco-clusters associated with high precipitation, high temperature, low pH, and low nutrients positively affected RDC. Upland soils exhibited 2.40-fold higher RDC than paddy soils. Low-pH and high-organic matter eco-clusters were key predictors in upland and paddy fields, respectively.
Conclusions:
- Historically shaped microbial eco-clusters are significant drivers and predictors of residue decomposition.
- Environmental factors indirectly regulate residue decomposition through microbial eco-clusters.
- The study provides a continental-scale understanding of residue decomposition patterns and the role of microbial communities.
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