Unknown

Dataset Information

Microbial influencers and cotton leaf curl disease (CLCuD) susceptibility: a network perspective.


ABSTRACT: Biotic stresses, such as plant viruses, e.g., cotton leaf curl virus (CLCuV), can alter root-associated and leaf-associated microbial diversities in plants. There are complex ecological dynamics at play, with each microbe contributing to a multitude of biotic and abiotic interactions, thus deciding the stability of the plant's ecosystem in response to the disease. Deciphering these networks of interactions is a challenging task. The inferential research in microbiome is also at a nascent stage, often constrained by the underlying analytical assumptions and the limitations with respect to the depth of sequencing. There is also no real consensus on network-wide statistics to identify the influential microbial players in a network. Guided by the latest developments in network science, includi

SUBMITTER: Aqueel R 

PROVIDER: S-EPMC11215052 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature