期刊
NATURE BIOTECHNOLOGY
卷 32, 期 8, 页码 834-841出版社
NATURE RESEARCH
DOI: 10.1038/nbt.2942
关键词
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资金
- European Commission [HEALTH-F4-2007-201052, HEALTH-F4-2010-261376]
- Natural Science Foundation of China [30890032, 30725008, 30811130531, 31161130357]
- Shenzhen Municipal Government of China [ZYC200903240080A, BGI20100001, CXB201108250096A, CXB201108250098A]
- European Research Council CancerBiome [268985]
- METACARDIS project [FP7-HEALTH-2012-INNOVATION-I-305312]
- Danish Strategic Research Council [2106-07-0021]
- Danish Natural Science Research Council
- Solexa project [272-07-0196]
- Lundbeck Foundation Centre for Applied Medical Genomics in Personalized Disease Prediction, Prevention and Care
- Novo Nordisk Foundation Center for Basic Metabolic Research
- Novo Nordisk Foundation
- Metagenopolis grant [ANR-11-DPBS-0001]
- Novo Nordisk Fonden [NNF10CC1016517] Funding Source: researchfish
- European Research Council (ERC) [268985] Funding Source: European Research Council (ERC)
Many analyses of the human gut microbiome depend on a catalog of reference genes. Existing catalogs for the human gut microbiome are based on samples from single cohorts or on reference genomes or protein sequences, which limits coverage of global microbiome diversity. Here we combined 249 newly sequenced samples of the Metagenomics of the Human Intestinal Tract (MetaHit) project with 1,018 previously sequenced samples to create a cohort from three continents that is at least threefold larger than cohorts used for previous gene catalogs. From this we established the integrated gene catalog (IGC) comprising 9,879,896 genes. The catalog includes close-to-complete sets of genes for most gut microbes, which are also of considerably higher quality than in previous catalogs. Analyses of a group of samples from Chinese and Danish individuals using the catalog revealed country-specific gut microbial signatures. This expanded catalog should facilitate quantitative characterization of metagenomic, metatranscriptomic and metaproteomic data from the gut microbiome to understand its variation across populations in human health and disease.
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