Integrated diversity and network analyses reveal drivers of microbiome dynamics.

ABSTRACT: Microbial communities are key components of ecosystems, where interactions among microbes drive biodiversity and productivity. An increased number of microbiome data sets are available, owing to advances in sequencing; however, standard analyses often focus on community composition, neglecting the complex interactions between co-occurring microbes. To address this, we developed a computational framework integrating compositional and co-occurrence network analyses. We applied this approach to extensive microbial amplicon data sets, focusing on plant microbiota, which typically exhibits high diversity and remains challenging to characterize due to the large number of low-abundance taxa. We show that identifying a subset of representative microbial taxa captures the overall community structur

SUBMITTER: Guan R 

PROVIDER: S-EPMC12542658 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature