Gut microbial signatures of domestication parallel those of industrialization, implicating shared ecological drivers.

Recurrent neural network models enable prediction and design of health-relevant metabolite dynamics in synthetic human gut communities.

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.

Physical contacts of bacteria and phage genomes allow in situ exploration of underdocumented phage families in the gut.

A specific gut microbe Paracoccus aminovorans enhances host colonization of the human pathogen Vibrio cholerae by forming dual-species biofilm structures.

The human gut bacterial lipoprotein BtuG binds vitamin B12 with femtomolar affinity, can remove vitamin B12 from human intrinsic factor, and is required for commensal fitness in the gut.

Melainabacteria, a candidate phylum related to Cyanobacteria, has been identified in gut and sediment samples by genomic analysis.

A network of the gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs and supports the generation of mechanistic hypotheses of microbiome metabolic phenotypes that shape human biology.

Replication origins are established throughout the genome with the exception of transcribed genes, and the local chromatin composition likely modulates the density of ORC and MCM as well as origin activation.

A unique, widely distributed gut bacterial enzyme selectively metabolizes plant-derived cardiac glycoside drugs.