Jizhong Zhou

TL;DR: A novel mathematical and bioinformatics framework to construct ecological association networks named molecular ecological networks (MENs) through Random Matrix Theory (RMT)-based methods is described, which provides powerful tools to elucidate network interactions in microbial communities and their responses to environmental changes.

TL;DR: Both stochastic and deterministic components embedded in various ecological processes, including selection, dispersal, diversification, and drift are described.

TL;DR: It is reported that the dispersed hydrocarbon plume stimulated deep-sea indigenous γ-Proteobacteria that are closely related to known petroleum degraders, and the potential exists for intrinsic bioremediation of the oil plume in the deep-water column without substantial oxygen drawdown.

TL;DR: In this article, the authors examined the effects of long-term experimental warming on the complexity and stability of molecular ecological networks in grassland soil microbial communities, and found that warming significantly increased network complexity, including network size, connectivity, connectance, average clustering coefficient, relative modularity and number of keystone species.