A. Pascual-Garcia

The paper identifies a network optimization condition that reveals how functional groups influence the stability and feasibility of microbial ecosystems.

The paper demonstrates that bacterial community dynamics can be predicted and controlled by analyzing initial community composition and environmental conditions.

This study identifies general assembly principles of microbial communities by analyzing cross-biome data, revealing functional redundancy and links between genome reduction and cooperation.

The paper identifies two distinct microbial community classes on synthetic marine particles, shaped by environmental selection and facilitation, with distinct metabolic traits.

The paper examines microbial community structure in Antarctic freshwater systems, finding environmental filtering dominates over dispersal in shaping bacterial communities despite connectivity.

The paper analyzes bacterial communities in tree-holes to identify ecological succession patterns and functional signatures across distances.

The paper proposes the concept of Metabolically Cohesive Consortia (MeCoCos) to explain stable microbial community structures and their ecological implications.