Structural identifiability of the generalized Lotka-Volterra model for microbiome studies.

ABSTRACT: Population dynamic models can be used in conjunction with time series of species abundances to infer interactions. Understanding microbial interactions is a prerequisite for numerous goals in microbiome research, including predicting how populations change over time, determining how manipulations of microbiomes affect dynamics and designing synthetic microbiomes to perform tasks. As such, there is great interest in adapting population dynamic theory for microbial systems. Despite the appeal, numerous hurdles exist. One hurdle is that the data commonly obtained from DNA sequencing yield estimates of relative abundances, while population dynamic models such as the generalized Lotka-Volterra model track absolute abundances or densities. It is not clear whether relative abundance data alone ca

SUBMITTER: Remien CH 

PROVIDER: S-EPMC8292772 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature