Julia K. Goodrich

TL;DR: An overview of the analysis pipeline and links to raw data and processed output from the runs with and without denoising are provided.

TL;DR: A ‘taxonomy to tree’ approach for transferring group names from an existing taxonomy to a tree topology is developed and used to apply the Greengenes, National Center for Biotechnology Information (NCBI) and cyanoDB (Cyanobacteria only) taxonomies to a de novo tree comprising 408 315 sequences.

TL;DR: Compared microbiotas across >1,000 fecal samples obtained from the TwinsUK population, many microbial taxa whose abundances were influenced by host genetics were identified.

TL;DR: It is indicated that host-microbial interactions that impact host metabolism can occur and may be beneficial in pregnancy and when transferred to germ-free mice, T3 microbiota induced greater adiposity and insulin insensitivity compared to T1.

TL;DR: Results support the emerging concept that perturbed host–microbiota interactions resulting in low-grade inflammation can promote adiposity and its associated metabolic effects and suggest that the broad use of emulsifying agents might be contributing to an increased societal incidence of obesity/metabolic syndrome and other chronic inflammatory diseases.