Regularized S-Map Reveals Varying Bacterial Interactions.

ABSTRACT: There is a growing awareness that bacterial interactions follow a highly nonlinear pattern in reality. However, it is challenging to track the varying bacterial interactions using pairwise correlation analysis, which fails to explore their potential effects on the behavior of microbes. Here, we utilized a regularized sequential locally weighted global linear map (S-map) to capture the varying interspecific interactions from the time series data of a bacterial community under exposure to nitrite. Our results show that bacterial interactions are highly variable and that asymmetric interactions dominate the interaction pattern in a community. Furthermore, we propose a Jacobian coefficient-based statistical method to predict the harmony level of a bacterial community at each successive ecosyst

SUBMITTER: Yu Z 

PROVIDER: S-EPMC7531961 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature