A functional microbiome catalogue crowdsourced from North American rivers
成果类型：
Article
署名作者：
Borton, Mikayla A.; Mcgivern, Bridget B.; Willi, Kathryn R.; Woodcroft, Ben J.; Mosier, Annika C.; Singleton, Derick M.; Bambakidis, Ted; Pelly, Aaron; Daly, Rebecca A.; Liu, Filipe; Freiburger, Andrew; Edirisinghe, Janaka N.; Faria, Jose P.; Danczak, Robert; Leleiwi, Ikaia; Goldman, Amy E.; Wilkins, Michael J.; Hall, Ed K.; Pennacchio, Christa; Roux, Simon; Eloe-Fadrosh, Emiley A.; Good, Stephen P.; Sullivan, Matthew B.; Wood-Charlson, Elisha M.; Miller, Christopher S.; Ross, Matthew R. V.; Henry, Christopher S.; Crump, Byron C.; Stegen, James C.; Wrighton, Kelly C.
署名单位：
Colorado State University System; Colorado State University Fort Collins; Colorado State University System; Colorado State University Fort Collins; University of Queensland; Queensland University of Technology (QUT); Children's Hospital Colorado; University of Colorado System; University of Colorado Anschutz Medical Campus; University of Colorado Denver; Oregon State University; United States Department of Energy (DOE); Pacific Northwest National Laboratory; United States Department of Energy (DOE); Argonne National Laboratory; United States Department of Energy (DOE); Pacific Northwest National Laboratory; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; Oregon State University; University System of Ohio; Ohio State University; Oregon State University; Washington State University
刊物名称：
Nature
ISSN/ISSBN：
0028-3560
DOI：
10.1038/s41586-024-08240-z
发表日期：
2025-01-02
关键词：
community
water
fermentation
biogeography
metabolism
physiology
selection
genomics
QUALITY
FAMILY
摘要：
Predicting elemental cycles and maintaining water quality under increasing anthropogenic influence requires knowledge of the spatial drivers of river microbiomes. However, understanding of the core microbial processes governing river biogeochemistry is hindered by a lack of genome-resolved functional insights and sampling across multiple rivers. Here we used a community science effort to accelerate the sampling, sequencing and genome-resolved analyses of river microbiomes to create the Genome Resolved Open Watersheds database (GROWdb). GROWdb profiles the identity, distribution, function and expression of microbial genomes across river surface waters covering 90% of United States watersheds. Specifically, GROWdb encompasses microbial lineages from 27 phyla, including novel members from 10 families and 128 genera, and defines the core river microbiome at the genome level. GROWdb analyses coupled to extensive geospatial information reveals local and regional drivers of microbial community structuring, while also presenting foundational hypotheses about ecosystem function. Building on the previously conceived River Continuum Concept1, we layer on microbial functional trait expression, which suggests that the structure and function of river microbiomes is predictable. We make GROWdb available through various collaborative cyberinfrastructures2,3, so that it can be widely accessed across disciplines for watershed predictive modelling and microbiome-based management practices. GROWdb defines US river microbiomes at the genome level.