TY - JOUR A1 - Vogtmann, Emily A1 - Hua, Xing A1 - Zeller, Georg A1 - Sunagawa, Shinichi A1 - Voigt, Anita Y. A1 - Hercog, Rajna A1 - Goedert, James J. A1 - Shi, Jianxin A1 - Bork, Peer A1 - Sinha, Rashmi T1 - Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing JF - PLoS ONE N2 - Accumulating evidence indicates that the gut microbiota affects colorectal cancer development, but previous studies have varied in population, technical methods, and associations with cancer. Understanding these variations is needed for comparisons and for potential pooling across studies. Therefore, we performed whole-genome shotgun sequencing on fecal samples from 52 pre-treatment colorectal cancer cases and 52 matched controls from Washington, DC. We compared findings from a previously published 16S rRNA study to the metagenomics-derived taxonomy within the same population. In addition, metagenome-predicted genes, modules, and pathways in the Washington, DC cases and controls were compared to cases and controls recruited in France whose specimens were processed using the same platform. Associations between the presence of fecal Fusobacteria, Fusobacterium, and Porphyromonas with colorectal cancer detected by 16S rRNA were reproduced by metagenomics, whereas higher relative abundance of Clostridia in cancer cases based on 16S rRNA was merely borderline based on metagenomics. This demonstrated that within the same sample set, most, but not all taxonomic associations were seen with both methods. Considering significant cancer associations with the relative abundance of genes, modules, and pathways in a recently published French metagenomics dataset, statistically significant associations in the Washington, DC population were detected for four out of 10 genes, three out of nine modules, and seven out of 17 pathways. In total, colorectal cancer status in the Washington, DC study was associated with 39% of the metagenome-predicted genes, modules, and pathways identified in the French study. More within and between population comparisons are needed to identify sources of variation and disease associations that can be reproduced despite these variations. Future studies should have larger sample sizes or pool data across studies to have sufficient power to detect associations that are reproducible and significant after correction for multiple testing. KW - colorectal cancer KW - gut microbiota KW - whole-genome shotgun sequencing Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-166904 VL - 11 IS - 5 ER - TY - JOUR A1 - Schmidt, Thomas S. B. A1 - Hayward, Matthew R. A1 - Coelho, Luiis P. A1 - Li, Simone S. A1 - Costea, Paul I. A1 - Voigt, Anita Y. A1 - Wirbel, Jakob A1 - Maistrenko, Oleksandr M. A1 - Alves, Renato J. C. A1 - Bergsten, Emma A1 - de Beaufort, Carine A1 - Sobhani, Iradj A1 - Heintz-Buschart, Anna A1 - Sunagawa, Shinichi A1 - Zeller, Georg A1 - Wilmes, Paul A1 - Bork, Peer T1 - Extensive transmission of microbes along the gastrointestinal tract JF - eLife N2 - The gastrointestinal tract is abundantly colonized by microbes, yet the translocation of oral species to the intestine is considered a rare aberrant event, and a hallmark of disease. By studying salivary and fecal microbial strain populations of 310 species in 470 individuals from five countries, we found that transmission to, and subsequent colonization of, the large intestine by oral microbes is common and extensive among healthy individuals. We found evidence for a vast majority of oral species to be transferable, with increased levels of transmission in colorectal cancer and rheumatoid arthritis patients and, more generally, for species described as opportunistic pathogens. This establishes the oral cavity as an endogenous reservoir for gut microbial strains, and oral-fecal transmission as an important process that shapes the gastrointestinal microbiome in health and disease. KW - Colonization KW - Annotation KW - Dynamics KW - Accurate KW - Strains KW - Barrier KW - Health KW - Acids KW - Research Article KW - Computational and Systems Biology KW - Microbiology and Infectious Disease KW - microbiome KW - gastrointestinal tract KW - colorectal cancer KW - rheumatoid arthritis KW - metagenomics Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-228954 VL - 8 ER -