Journal
NATURE
Volume 551, Issue 7681, Pages 457-+Publisher
NATURE PORTFOLIO
DOI: 10.1038/nature24621
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Categories
Funding
- John Templeton Foundation [44000]
- W. M. Keck Foundation [DT061413]
- Argonne National Laboratory (US Department of Energy) [DE-AC02-06CH11357]
- Australian Research Council
- Tula Foundation
- Samuel Lawrence Foundation
- Extreme Science and Engineering Discovery Environment (XSEDE) [BIO150043]
- National Science Foundation [ACI-1053575]
- NOAA's Atlantic Oceanographic and Meteorological Laboratory (AOML)
- Mississippi State University/NOAA Northern Gulf Institute
- Direct For Biological Sciences
- Division Of Integrative Organismal Systems [1257590] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1347042] Funding Source: National Science Foundation
- Division Of Mathematical Sciences
- Direct For Mathematical & Physical Scien [1563159] Funding Source: National Science Foundation
- Division Of Ocean Sciences
- Directorate For Geosciences [1442306] Funding Source: National Science Foundation
- Div Of Civil, Mechanical, & Manufact Inn
- Directorate For Engineering [1802394] Funding Source: National Science Foundation
- NERC [NE/K00168X/1, pml010007, pml010009] Funding Source: UKRI
- Lundbeck Foundation [R24-2008-2527, R38-2008-3048, R109-2012-9995, R70-2010-6286, R155-2013-16338] Funding Source: researchfish
- Natural Environment Research Council [pml010009, pml010007, NE/K00168X/1] Funding Source: researchfish
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Our growing awareness of the microbial world's importance and diversity contrasts starkly with our limited understanding of its fundamental structure. Despite recent advances in DNA sequencing, a lack of standardized protocols and common analytical frameworks impedes comparisons among studies, hindering the development of global inferences about microbial life on Earth. Here we present a meta-analysis of microbial community samples collected by hundreds of researchers for the Earth Microbiome Project. Coordinated protocols and new analytical methods, particularly the use of exact sequences instead of clustered operational taxonomic units, enable bacterial and archaeal ribosomal RNA gene sequences to be followed across multiple studies and allow us to explore patterns of diversity at an unprecedented scale. The result is both a reference database giving global context to DNA sequence data and a framework for incorporating data from future studies, fostering increasingly complete characterization of Earth's microbial diversity.
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