ArticleNature microbiology2016
Surveys, simulation and single-cell assays relate function and phylogeny in a lake ecosystem.
Article in Nature microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed, 44 citations in OpenAlex.
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- Redox-informed models of global biogeochemical cycles.Nature communications · 2020Review
- Sequential biodegradation of 1,2,4-trichlorobenzene at oxic-anoxic groundwater interfaces in model laboratory columns.Journal of contaminant hydrology · 2020Article
- Editorial: Microbial Ecology in Reservoirs and Lakes.Frontiers in microbiology · 2020Article
- Vertical transport of sediment-associated metals and cyanobacteria by ebullition in a stratified lake.Biogeosciences (Online) · 2020Article
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- Ultrasensitive Detection of Hepatotoxic Microcystin Production from Cyanobacteria Using Surface-Enhanced Raman Scattering Immunosensor.ACS sensors · 2019Article
- Redox-dependent niche differentiation provides evidence for multiple bacterial sources of glycerol tetraether lipids in lakes.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Dynamics of microbial populations mediating biogeochemical cycling in a freshwater lake.Microbiome · 2018Article
- Harnessing a methane-fueled, sediment-free mixed microbial community for utilization of distributed sources of natural gas.Biotechnology and bioengineering · 2018Article
- Genomic comparison ofBiotechnology for biofuels · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Much remains unknown about what drives microbial community structure and diversity. Highly structured environments might offer clues. For example, it may be possible to identify metabolically similar species as groups of organisms that correlate spatially with the geochemical processes they carry out. Here, we use a 16S ribosomal RNA gene survey in a lake that has chemical gradients across its depth to identify groups of spatially correlated but phylogenetically diverse organisms. Some groups had distributions across depth that aligned with the distributions of metabolic processes predicted by a biogeochemical model, suggesting that these groups performed biogeochemical functions. A single-cell genetic assay showed, however, that the groups associated with one biogeochemical process, sulfate reduction, contained only a few organisms that have the genes required to reduce sulfate. These results raise the possibility that some of these spatially correlated groups are consortia of phylogenetically diverse and metabolically different microbes that cooperate to carry out geochemical functions.
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Registered trials
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