@article{VogtmannHuaZelleretal.2016, author = {Vogtmann, Emily and Hua, Xing and Zeller, Georg and Sunagawa, Shinichi and Voigt, Anita Y. and Hercog, Rajna and Goedert, James J. and Shi, Jianxin and Bork, Peer and Sinha, Rashmi}, title = {Colorectal Cancer and the Human Gut Microbiome: Reproducibility with Whole-Genome Shotgun Sequencing}, series = {PLoS ONE}, volume = {11}, journal = {PLoS ONE}, number = {5}, doi = {10.1371/journal.pone.0155362}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-166904}, pages = {e0155362}, year = {2016}, abstract = {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.}, language = {en} } @article{MendeLetunicHuertaCepasetal.2017, author = {Mende, Daniel R. and Letunic, Ivica and Huerta-Cepas, Jaime and Li, Simone S. and Forslund, Kristoffer and Sunagawa, Shinichi and Bork, Peer}, title = {proGenomes: a resource for consistent functional and taxonomic annotations of prokaryotic genomes}, series = {Nucleic Acids Research}, volume = {45}, journal = {Nucleic Acids Research}, number = {D1}, doi = {10.1093/nar/gkw989}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171987}, pages = {D529-D534}, year = {2017}, abstract = {The availability of microbial genomes has opened many new avenues of research within microbiology. This has been driven primarily by comparative genomics approaches, which rely on accurate and consistent characterization of genomic sequences. It is nevertheless difficult to obtain consistent taxonomic and integrated functional annotations for defined prokaryotic clades. Thus, we developed proGenomes, a resource that provides user-friendly access to currently 25 038 high-quality genomes whose sequences and consistent annotations can be retrieved individually or by taxonomic clade. These genomes are assigned to 5306 consistent and accurate taxonomic species clusters based on previously established methodology. proGenomes also contains functional information for almost 80 million protein-coding genes, including a comprehensive set of general annotations and more focused annotations for carbohydrate-active enzymes and antibiotic resistance genes. Additionally, broad habitat information is provided for many genomes. All genomes and associated information can be downloaded by user-selected clade or multiple habitat-specific sets of representative genomes. We expect that the availability of high-quality genomes with comprehensive functional annotations will promote advances in clinical microbial genomics, functional evolution and other subfields of microbiology. proGenomes is available at http://progenomes.embl.de.}, language = {en} }