Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle

2019 Cell 1,575 citations

Abstract

The body-wide human microbiome plays a role in health, but its full diversity remains uncharacterized, particularly outside of the gut and in international populations. We leveraged 9,428 metagenomes to reconstruct 154,723 microbial genomes (45% of high quality) spanning body sites, ages, countries, and lifestyles. We recapitulated 4,930 species-level genome bins (SGBs), 77% without genomes in public repositories (unknown SGBs [uSGBs]). uSGBs are prevalent (in 93% of well-assembled samples), expand underrepresented phyla, and are enriched in non-Westernized populations (40% of the total SGBs). We annotated 2.85 M genes in SGBs, many associated with conditions including infant development (94,000) or Westernization (106,000). SGBs and uSGBs permit deeper microbiome analyses and increase the average mappability of metagenomic reads from 67.76% to 87.51% in the gut (median 94.26%) and 65.14% to 82.34% in the mouth. We thus identify thousands of microbial genomes from yet-to-be-named species, expand the pangenomes of human-associated microbes, and allow better exploitation of metagenomic technologies.

Keywords

BiologyMicrobiomeDiversity (politics)Human microbiomeMetagenomicsEvolutionary biologyGenomeComputational biologyGeneticsGeneAnthropology

MeSH Terms

Big DataGenetic VariationGeographyHumansLife StyleMetagenomeMetagenomicsMicrobiotaPhylogenySequence AnalysisDNA

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Publication Info

Year
2019
Type
article
Volume
176
Issue
3
Pages
649-662.e20
Citations
1575
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

1575
OpenAlex
61
Influential
1354
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Cite This

Edoardo Pasolli, Francesco Asnicar, Serena Manara et al. (2019). Extensive Unexplored Human Microbiome Diversity Revealed by Over 150,000 Genomes from Metagenomes Spanning Age, Geography, and Lifestyle. Cell , 176 (3) , 649-662.e20. https://doi.org/10.1016/j.cell.2019.01.001

Identifiers

DOI
10.1016/j.cell.2019.01.001
PMID
30661755
PMCID
PMC6349461

Data Quality

Data completeness: 90%