Evidence map›Paper›PMID 31110364›Full record

ArticleNature microbiology2019

Mediterranean grassland soil C-N compound turnover is dependent on rainfall and depth, and is mediated by genomically divergent microorganisms.

Spencer Diamond, Peter F Andeer, Zhou Li, Alexander Crits-Christoph, David Burstein, Karthik Anantharaman, Katherine R Lane, Brian C Thomas, Chongle Pan, Trent R Northen and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 233 citations in OpenAlex.

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  5. 16S rRNA sequence captures microbial functional potential.bioRxiv : the preprint server for biology · 2026
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37 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Spencer DiamondDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0003-4131-341X
Peter F AndeerEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
Zhou LiOak Ridge National Laboratory, Oak Ridge, TN, USA.
Alexander Crits-ChristophDepartment of Plant and Microbial Biology, University of California, Berkeley, Berkeley, CA, USA.
David BursteinDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.
Karthik AnantharamanDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-9584-2491
Katherine R LaneDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.
Brian C ThomasDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA.
Chongle PanOak Ridge National Laboratory, Oak Ridge, TN, USA.
Trent R NorthenEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-8404-3259
Jillian F BanfieldDepartment of Earth and Planetary Science, University of California, Berkeley, Berkeley, CA, USA. jbanfield@berkeley.edu.ORCID http://orcid.org/0000-0001-8203-8771
Planetary Science Institute · USLawrence Berkeley National Laboratory · USOak Ridge National Laboratory · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soil microbial activity drives the carbon and nitrogen cycles and is an important determinant of atmospheric trace gas turnover, yet most soils are dominated by microorganisms with unknown metabolic capacities. Even Acidobacteria, among the most abundant bacteria in soil, remain poorly characterized, and functions across groups such as Verrucomicrobia, Gemmatimonadetes, Chloroflexi and Rokubacteria are understudied. Here, we have resolved 60 metagenomic and 20 proteomic data sets from a Mediterranean grassland soil ecosystem and recovered 793 near-complete microbial genomes from 18 phyla, representing around one-third of all microorganisms detected. Importantly, this enabled extensive genomics-based metabolic predictions for these communities. Acidobacteria from multiple previously unstudied classes have genomes that encode large enzyme complements for complex carbohydrate degradation. Alternatively, most microorganisms encode carbohydrate esterases that strip readily accessible methyl and acetyl groups from polymers like pectin and xylan, forming methanol and acetate, the availability of which could explain the high prevalence of C

Indexed as

GenomicsGrasslandSoil MicrobiologyBacteriaBiodiversityCaliforniaCarbonCarbon CycleEcologyEcosystemMetagenomicsNitrogenNitrogen CycleProteomicsSoilCarbonNitrogenSoil

Identifiers

PMID31110364
PMCPMC6784897
OpenAlexW2945459136

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.