Difficulty in inferring microbial community structure based on co-occurrence network approaches.

ABSTRACT:

Background

Co-occurrence networks-ecological associations between sampled populations of microbial communities inferred from taxonomic composition data obtained from high-throughput sequencing techniques-are widely used in microbial ecology. Several co-occurrence network methods have been proposed. Co-occurrence network methods only infer ecological associations and are often used to discuss species interactions. However, validity of this application of co-occurrence network methods is currently debated. In particular, they simply evaluate using parametric statistical models, even though microbial compositions are determined through population dynamics.

Results

We comprehensively evaluated the validity of common methods for inferring microbial ecological networks through rea

SUBMITTER: Hirano H 

PROVIDER: S-EPMC6567618 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature