A Catalog of Reference Genomes from the Human Microbiome
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Abstract
The human microbiome refers to the community of microorganisms, including prokaryotes, viruses, and microbial eukaryotes, that populate the human body. The National Institutes of Health launched an initiative that focuses on describing the diversity of microbial species that are associated with health and disease. The first phase of this initiative includes the sequencing of hundreds of microbial reference genomes, coupled to metagenomic sequencing from multiple body sites. Here we present results from an initial reference genome sequencing of 178 microbial genomes. From 547,968 predicted polypeptides that correspond to the gene complement of these strains, previously unidentified ("novel") polypeptides that had both unmasked sequence length greater than 100 amino acids and no BLASTP match to any nonreference entry in the nonredundant subset were defined. This analysis resulted in a set of 30,867 polypeptides, of which 29,987 (approximately 97%) were unique. In addition, this set of microbial genomes allows for approximately 40% of random sequences from the microbiome of the gastrointestinal tract to be associated with organisms based on the match criteria used. Insights into pan-genome analysis suggest that we are still far from saturating microbial species genetic data sets. In addition, the associated metrics and standards used by our group for quality assurance are presented.
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The record
- Venue
- Science
- Topic
- Gut microbiota and health
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- —
- Funders
- National Human Genome Research InstituteCanadian Institutes of Health ResearchNational Institutes of HealthNational Institute of Allergy and Infectious DiseasesBroad InstituteVlaamse regeringUniversiteit GentCrohn's and Colitis Foundation of CanadaCrohn's and Colitis Foundation
- Keywords
- MicrobiomeComputational biologyGenomeHuman genomeHuman microbiomeBiologyEvolutionary biologyData scienceGeneticsComputer scienceGene
- Has abstract in OpenAlex
- yes