Reply to: Microbial dark matter could add uncertainties to metagenomic trait estimations
Nat Microbiol
.
2024 Jun;9(6):1431-1433.
doi: 10.1038/s41564-024-01688-9.
Epub 2024 May 13.
Authors
Gabin Piton
1
2
,
Steven D Allison
3
4
,
Mohammad Bahram
5
6
,
Falk Hildebrand
7
8
,
Jennifer B H Martiny
4
,
Kathleen K Treseder
4
,
Adam C Martiny
3
4
Affiliations
1
Department of Earth System Science, University of California, Irvine, Irvine, CA, USA.
[email protected]
.
2
Eco&Sols, INRAE-IRD-CIRAD-SupAgro, University of Montpellier, Montpellier, France.
[email protected]
.
3
Department of Earth System Science, University of California, Irvine, Irvine, CA, USA.
4
Department of Ecology and Evolutionary Biology, University of California, Irvine, Irvine, CA, USA.
5
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
6
Institute of Ecology and Earth Sciences, University of Tartu, Tartu, Estonia.
7
Gut Microbes and Health, Quadram Institute Bioscience, Norwich, UK.
8
Digital Biology, Earlham Institute, Norwich, UK.
PMID:
38740930
DOI:
10.1038/s41564-024-01688-9
No abstract available
Publication types
Letter
MeSH terms
Bacteria / classification
Bacteria / genetics
Metagenome
Metagenomics*
Microbiota / genetics
Uncertainty
Grants and funding
DE-SC0020382/U.S. Department of Energy (DOE)
DE-SC0016410/U.S. Department of Energy (DOE)
erc-stg-948219, EPYC/EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council)
BB/X011054/1/RCUK | Biotechnology and Biological Sciences Research Council (BBSRC)