Sequence variant analysis reveals poor correlations in microbial taxonomic abundance between humans and mice after gnotobiotic transfer

• Published in: The ISME Journal Vol. 14; no. 7; pp. 1809 - 1820
• Main Authors: Fouladi, Farnaz, Glenny, Elaine M., Bulik-Sullivan, Emily C., Tsilimigras, Matthew C. B., Sioda, Michael, Thomas, Stephanie A., Wang, Yunfei, Djukic, Zorka, Tang, Quyen, Tarantino, Lisa M., Bulik, Cynthia M., Fodor, Anthony A., Carroll, Ian M.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.07.2020; Oxford University Press
• Subjects: 45/23; 631/326/2565/2134; 631/326/2565/855; 64/60; Abundance; Algorithms; Animal models; Animals; Biomedical and Life Sciences; Correlation analysis; Ecology; Evolutionary Biology; Fecal Microbiota Transplantation; Fecal microflora; Feces; Gastrointestinal Microbiome; Germ-Free Life; Gnotobiotic; Humans; Intestinal microflora; Life Sciences; Mice; Microbial activity; Microbial Ecology; Microbial Genetics and Genomics; Microbiology; Microbiota; Microorganisms; RNA, Ribosomal, 16S - genetics; rRNA 16S; Slurries

Transplanting human gut microbiotas into germ-free (GF) mice is a popular approach to disentangle cause-and-effect relationships between enteric microbes and disease. Algorithm development has enabled sequence variant (SV) identification from 16S rRNA gene sequence data. SV analyses can identify whi...