The Human Microbiome consists of all the organisms that comprise the many distinct microbial communities found on and in the human body. Early individual studies and the concerted initial steps of the Human Microbiome Project (HMP) have begun to define the extent of the diversity within these communities and the importance of their structure and temporal variation on human health. To establish the necessary foundation to measure the variation of communities and the functional consequences, we must: i) establish baseline measurements of these communities, including cataloging both the presence and prevalence of specific organisms and their gene content;ii) determine the physiological capabilities of each organism in the community by elaborating their gene content, to be able to interpret the functional significance of changes in community structure;iii) continue to develop new methods to characterize microbial communities and the organisms therein;and, iv) promote research in human metagenomics by engaging the research community and creating publicly available data and resources. We will take advantage of the explosive advances in new sequencing technologies to rapidly create a catalog of over 400 reference microbial genome sequences, including those of bacteria, eukaryotes, and viruses, as well as generate extensive community profiles from a number of human body sites with a focus on the oral and vaginal microbiome. We will also aggressively develop and apply new methods and technologies to further reduce the cost and expand the reach of the HMP. These data will be rapidly released to the public and, along with those of our collaborating partners in the HMP network, will define the Human Microbiome communities and provide baseline measurements for a wealth of subsequent experimental research.

Public Health Relevance

The ultimate goal of the HMP is to understand how microbial community structure and function determine normal human health, development, and disease, and can contribute to new diagnostic or therapeutic tools. To do this we must first generate large, public data sets that define the organisms commonly found in healthy human subjects, and measure the extent to which they vary and the reasons for this.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54HG004969-04
Application #
8266494
Study Section
Special Emphasis Panel (ZRG1-GGG-J (52))
Program Officer
Proctor, Lita
Project Start
2009-07-30
Project End
2014-04-30
Budget Start
2012-05-01
Budget End
2014-04-30
Support Year
4
Fiscal Year
2012
Total Cost
$639,871
Indirect Cost
$345,771
Name
Broad Institute, Inc.
Department
Type
DUNS #
623544785
City
Cambridge
State
MA
Country
United States
Zip Code
02142
Lee, Soo Chan; Billmyre, R Blake; Li, Alicia et al. (2014) Analysis of a food-borne fungal pathogen outbreak: virulence and genome of a Mucor circinelloides isolate from yogurt. MBio 5:e01390-14
Sizova, Maria V; Muller, Paul A; Stancyk, David et al. (2014) Oribacterium parvum sp. nov. and Oribacterium asaccharolyticum sp. nov., obligately anaerobic bacteria from the human oral cavity, and emended description of the genus Oribacterium. Int J Syst Evol Microbiol 64:2642-9
Huang, Katherine; Brady, Arthur; Mahurkar, Anup et al. (2014) MetaRef: a pan-genomic database for comparative and community microbial genomics. Nucleic Acids Res 42:D617-24
Manson McGuire, Abigail; Cochrane, Kyla; Griggs, Allison D et al. (2014) Evolution of invasion in a diverse set of Fusobacterium species. MBio 5:e01864
Chen, Zehua; Martinez, Diego A; Gujja, Sharvari et al. (2014) Comparative genomic and transcriptomic analysis of wangiella dermatitidis, a major cause of phaeohyphomycosis and a model black yeast human pathogen. G3 (Bethesda) 4:561-78
Bokulich, Nicholas A; Subramanian, Sathish; Faith, Jeremiah J et al. (2013) Quality-filtering vastly improves diversity estimates from Illumina amplicon sequencing. Nat Methods 10:57-9
Munch, Erika M; Harris, R Alan; Mohammad, Mahmoud et al. (2013) Transcriptome profiling of microRNA by Next-Gen deep sequencing reveals known and novel miRNA species in the lipid fraction of human breast milk. PLoS One 8:e50564
Giannoukos, Georgia; Ciulla, Dawn M; Huang, Katherine et al. (2012) Efficient and robust RNA-seq process for cultured bacteria and complex community transcriptomes. Genome Biol 13:R23
Kuczynski, Justin; Lauber, Christian L; Walters, William A et al. (2012) Experimental and analytical tools for studying the human microbiome. Nat Rev Genet 13:47-58
Haas, Brian J; Gevers, Dirk; Earl, Ashlee M et al. (2011) Chimeric 16S rRNA sequence formation and detection in Sanger and 454-pyrosequenced PCR amplicons. Genome Res 21:494-504

Showing the most recent 10 out of 14 publications