Inferring interactions in complex microbial communities from nucleotide sequence data and environmental parameters

Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate inter...

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Detalles Bibliográficos
Autores principales: Shang, Yu, Sikorski, Johannes, Bonkowski, Michael, Fiore-Donno, Anna-Maria, Kandeler, Ellen, Marhan, Sven, Boeddinghaus, Runa S., Solly, Emily F., Schrumpf, Marion, Schöning, Ingo, Wubet, Tesfaye, Buscot, Francois, Overmann, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5348048/
https://www.ncbi.nlm.nih.gov/pubmed/28288199
http://dx.doi.org/10.1371/journal.pone.0173765
Descripción
Sumario:Interactions occur between two or more organisms affecting each other. Interactions are decisive for the ecology of the organisms. Without direct experimental evidence the analysis of interactions is difficult. Correlation analyses that are based on co-occurrences are often used to approximate interaction. Here, we present a new mathematical model to estimate the interaction strengths between taxa, based on changes in their relative abundances across environmental gradients.

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