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Linking microbial co‐occurrences to soil ecological processes across a woodland‐grassland ecotone
Authors:Samiran Banerjee  Peter H Thrall  Andrew Bissett  Marcel G A van der Heijden  Alan E Richardson
Institution:1. CSIRO Agriculture and Food, Canberra, ACT, Australia;2. Agroscope, Research Division Agroecology and Environment, Plant‐Soil‐Interactions Group, Reckenholz, Zurich, Switzerland;3. CSIRO Ocean and Atmosphere, Hobart, Tas, Australia;4. Department of Evolutionary Biology and Environmental Studies, University of Zürich, Zürich, Switzerland;5. Institute of Environmental Biology, Faculty of Science, Utrecht University, Utrecht, The Netherlands
Abstract:Ecotones between distinct ecosystems have been the focus of many studies as they offer valuable insights into key drivers of community structure and ecological processes that underpin function. While previous studies have examined a wide range of above‐ground parameters in ecotones, soil microbial communities have received little attention. Here we investigated spatial patterns, composition, and co‐occurrences of archaea, bacteria, and fungi, and their relationships with soil ecological processes across a woodland‐grassland ecotone. Geostatistical kriging and network analysis revealed that the community structure and spatial patterns of soil microbiota varied considerably between three habitat components across the ecotone. Woodland samples had significantly higher diversity of archaea while the grassland samples had significantly higher diversity of bacteria. Microbial co‐occurrences reflected differences in soil properties and ecological processes. While microbial networks were dominated by bacterial nodes, different ecological processes were linked to specific microbial guilds. For example, soil phosphorus and phosphatase activity formed the largest clusters in their respective networks, and two lignolytic enzymes formed joined clusters. Bacterial ammonia oxidizers were dominant over archaeal oxidizers and showed a significant association (p < 0.001) with potential nitrification (PNR), with the PNR subnetwork being dominated by Betaproteobacteria. The top ten keystone taxa comprised six bacterial and four fungal OTUs, with Random Forest Analysis revealing soil carbon and nitrogen as the determinants of the abundance of keystone taxa. Our results highlight the importance of assessing interkingdom associations in soil microbial networks. Overall, this study shows how ecotones can be used as a model to delineate microbial structural patterns and ecological processes across adjoining land‐uses within a landscape.
Keywords:ammonia oxidizers  ecotone  extracellular enzymes  keystone taxa  kriging  microbial networks
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