Strains, functions and dynamics in the expanded Human Microbiome Project

作者: Jason Lloyd-Price , Anup Mahurkar , Gholamali Rahnavard , Jonathan Crabtree , Joshua Orvis

DOI: 10.1038/NATURE23889

关键词: MicrobiomeComputational biologyGenomeMetagenomicsPhylogeneticsBiologyEcologyPhylogenetic diversityHuman Microbiome ProjectHuman microbiomeClade

摘要: The characterization of baseline microbial and functional diversity in the human microbiome has enabled studies microbiome-related disease, diversity, biogeography, molecular function. National Institutes Health Human Microbiome Project provided one broadest such characterizations so far. Here we introduce a second wave data from study, comprising 1,631 new metagenomes (2,355 total) targeting diverse body sites with multiple time points 265 individuals. We applied updated profiling assembly methods to provide personalization. Strain identification revealed subspecies clades specific sites; it also quantified species phylogenetic under-represented isolate genomes. Body-wide classified pathways into universal, human-enriched, site-enriched subsets. Finally, temporal analysis decomposed variation rapidly variable, moderately stable This study furthers our knowledge enables an understanding personalized function dynamics.

参考文章(68)
Kevin Galens, Joshua Orvis, Sean Daugherty, Heather H. Creasy, Sam Angiuoli, Owen White, Jennifer Wortman, Anup Mahurkar, Michelle Gwinn Giglio, The IGS Standard Operating Procedure for Automated Prokaryotic Annotation. Standards in Genomic Sciences. ,vol. 4, pp. 244- 251 ,(2011) , 10.4056/SIGS.1223234
J. P. Sundaram, V. Felix, B. Whitty, A. Mahurkar, J. Wortman, O. White, S. V. Angiuoli, J. Orvis, J. Crabtree, K. Galens, A. Gussman, J. M. Inman, E. Lee, S. Nampally, D. Riley, Ergatis: a web interface and scalable software system for bioinformatics workflows Bioinformatics. ,vol. 26, pp. 1488- 1492 ,(2010) , 10.1093/BIOINFORMATICS/BTQ167
D. R. Zerbino, E. Birney, Velvet: Algorithms for de novo short read assembly using de Bruijn graphs Genome Research. ,vol. 18, pp. 821- 829 ,(2008) , 10.1101/GR.074492.107
J. Pell, A. Hintze, R. Canino-Koning, A. Howe, J. M. Tiedje, C. T. Brown, Scaling metagenome sequence assembly with probabilistic de Bruijn graphs Proceedings of the National Academy of Sciences of the United States of America. ,vol. 109, pp. 13272- 13277 ,(2012) , 10.1073/PNAS.1121464109
Gilberto E Flores, J Gregory Caporaso, Jessica B Henley, Jai Ram Rideout, Daniel Domogala, John Chase, Jonathan W Leff, Yoshiki Vázquez-Baeza, Antonio Gonzalez, Rob Knight, Robert R Dunn, Noah Fierer, Temporal variability is a personalized feature of the human microbiome Genome Biology. ,vol. 15, pp. 531- 531 ,(2014) , 10.1186/S13059-014-0531-Y
Kjersti Aagaard, Joseph Petrosino, Wendy Keitel, Mark Watson, James Katancik, Nathalia Garcia, Shital Patel, Mary Cutting, Tessa Madden, Holli Hamilton, Emily Harris, Dirk Gevers, Gina Simone, Pamela McInnes, James Versalovic, The Human Microbiome Project strategy for comprehensive sampling of the human microbiome and why it matters The FASEB Journal. ,vol. 27, pp. 1012- 1022 ,(2013) , 10.1096/FJ.12-220806
Eric A. Franzosa, Katherine Huang, James F. Meadow, Dirk Gevers, Katherine P. Lemon, Brendan J. M. Bohannan, Curtis Huttenhower, Identifying personal microbiomes using metagenomic codes Proceedings of the National Academy of Sciences of the United States of America. ,vol. 112, pp. 201423854- ,(2015) , 10.1073/PNAS.1423854112
Claude C. Roy, C. Lawrence Kien, Lise Bouthillier, Emile Levy, Short-chain fatty acids: ready for prime time? Nutrition in Clinical Practice. ,vol. 21, pp. 351- 366 ,(2006) , 10.1177/0115426506021004351
Ben Langmead, Steven L Salzberg, Fast gapped-read alignment with Bowtie 2 Nature Methods. ,vol. 9, pp. 357- 359 ,(2012) , 10.1038/NMETH.1923
Robert D. Finn, Penelope Coggill, Ruth Y. Eberhardt, Sean R. Eddy, Jaina Mistry, Alex L. Mitchell, Simon C. Potter, Marco Punta, Matloob Qureshi, Amaia Sangrador-Vegas, Gustavo A. Salazar, John Tate, Alex Bateman, The Pfam protein families database: towards a more sustainable future Nucleic Acids Research. ,vol. 44, pp. 279- 285 ,(2016) , 10.1093/NAR/GKV1344