Microfluidic-based mini-metagenomics enables the investigation of environmental microbial communities in high-throughput and with single-cell resolution, facilitating genome binning and quantification of function, abundance, and genome variation.

Computational reaction representations and profile hidden Markov model searches of metagenomics databases can be harnessed to accurately predict bacterial species and enzyme sequences responsible for biotransformations in the human gut microbiome.

A high-throughput, activity-based selection identifies many phage-derived inhibitors of Cas9 from human fecal and oral metagenomes, with at least one inhibitor acting via a novel mechanism.

Alteration of host gut microbiota by antibiotic exposure in early life remodeled host intestinal immune development and metabolism and enhanced the induction of type 1 diabetes in genetically predisposed animals.

Local abnormal fungi in Caesarean section scar diverticulum can affect the abundance of bacteria through specific metabolites, thereby destroying the stability of bacteria and the entire microbial community.

Gnotobiotic and conventional mouse models of the IBD ATG16L1T300A SNP reveal gene-microbiota-immune interactions.

The gut microbiota of East Asians is distinct, dissociated from body mass, and self-sustains compared to White subjects from the same region, and therein may underpin a key health disparity.

A eukaryotic cell model overcomes metabolic deficiencies within a complex, self-establishing community that enables the growth-relevant exchange of metabolic intermediates.

The density of the gut microbiota influences the host immune system and adiposity, and can be therapeutically manipulated.