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Soil Microbial Networks Shift Across a High-Elevation Successional Gradient.
Farrer, Emily C; Porazinska, Dorota L; Spasojevic, Marko J; King, Andrew J; Bueno de Mesquita, Clifton P; Sartwell, Samuel A; Smith, Jane G; White, Caitlin T; Schmidt, Steven K; Suding, Katharine N.
Afiliación
  • Farrer EC; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, United States.
  • Porazinska DL; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States.
  • Spasojevic MJ; Department of Entomology and Nematology, University of Florida, Gainesville, FL, United States.
  • King AJ; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States.
  • Bueno de Mesquita CP; Department of Evolution, Ecology, and Organismal Biology, University of California, Riverside, Riverside, CA, United States.
  • Sartwell SA; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, United States.
  • Smith JG; King Ecological Consulting, Knoxville, TN, United States.
  • White CT; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States.
  • Schmidt SK; Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, United States.
  • Suding KN; Institute of Arctic and Alpine Research, University of Colorado Boulder, Boulder, CO, United States.
Front Microbiol ; 10: 2887, 2019.
Article en En | MEDLINE | ID: mdl-31921064
ABSTRACT
While it is well established that microbial composition and diversity shift along environmental gradients, how interactions among microbes change is poorly understood. Here, we tested how community structure and species interactions among diverse groups of soil microbes (bacteria, fungi, non-fungal eukaryotes) change across a fundamental ecological gradient, succession. Our study system is a high-elevation alpine ecosystem that exhibits variability in successional stage due to topography and harsh environmental conditions. We used hierarchical Bayesian joint distribution modeling to remove the influence of environmental covariates on species distributions and generated interaction networks using the residual species-to-species variance-covariance matrix. We hypothesized that as ecological succession proceeds, diversity will increase, species composition will change, and soil microbial networks will become more complex. As expected, we found that diversity of most taxonomic groups increased over succession, and species composition changed considerably. Interestingly, and contrary to our hypothesis, interaction networks became less complex over succession (fewer interactions per taxon). Interactions between photosynthetic microbes and any other organism became less frequent over the gradient, whereas interactions between plants or soil microfauna and any other organism were more abundant in late succession. Results demonstrate that patterns in diversity and composition do not necessarily relate to patterns in network complexity and suggest that network analyses provide new insight into the ecology of highly diverse, microscopic communities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos