Evidence map›Paper›PMID 33051582›Full record

ArticleThe ISME journal2021

Life-history strategies of soil microbial communities in an arid ecosystem.

Yongjian Chen, Julia W Neilson, Priyanka Kushwaha, Raina M Maier, Albert Barberán

Open access · bronzeAbstract read
In one paragraph

Article in The ISME journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
12.5field-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

81 citing papers in PubMed, 246 citations in OpenAlex.

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21 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

5 authors at 1 institution in 1 country.

Yongjian ChenDepartment of Environmental Science, University of Arizona, Tucson, AZ, 85721, USA. chenyj@email.arizona.edu.ORCID http://orcid.org/0000-0002-2930-8450
Julia W NeilsonDepartment of Environmental Science, University of Arizona, Tucson, AZ, 85721, USA.
Priyanka KushwahaDepartment of Environmental Science, University of Arizona, Tucson, AZ, 85721, USA.ORCID http://orcid.org/0000-0002-5679-8934
Raina M MaierDepartment of Environmental Science, University of Arizona, Tucson, AZ, 85721, USA.
Albert BarberánDepartment of Environmental Science, University of Arizona, Tucson, AZ, 85721, USA. barberan@email.arizona.edu.ORCID http://orcid.org/0000-0002-3066-7530
University of Arizona · US

Funding

TRANSPORT OF TRACE METALS IN A POLLUTED AQUIFERP42ES004940 · NIEHS · UNIVERSITY OF ARIZONA · PI Jon D Chorover · 1990 to 2026
$68.1M
SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
NIEHS NIH HHS P30 ES006694NIEHS NIH HHS P42 ES004940U.S. Department of Health & Human Services | NIH | National Institute of Environmental Health Sciences (NIEHS) P42ES004940
6 · The paper itself

Abstract

The overwhelming taxonomic diversity and metabolic complexity of microorganisms can be simplified by a life-history classification; copiotrophs grow faster and rely on resource availability, whereas oligotrophs efficiently exploit resource at the expense of growth rate. Here, we hypothesize that community-level traits inferred from metagenomic data can distinguish copiotrophic and oligotrophic microbial communities. Moreover, we hypothesize that oligotrophic microbial communities harbor more unannotated genes. To test these hypotheses, we conducted metagenomic analyses of soil samples collected from copiotrophic vegetated areas and from oligotrophic bare ground devoid of vegetation in an arid-hyperarid region of the Sonoran Desert, Arizona, USA. Results supported our hypotheses, as we found that multiple ecologically informed life-history traits including average 16S ribosomal RNA gene copy number, codon usage bias in ribosomal genes and predicted maximum growth rate were higher for microbial communities in vegetated than bare soils, and that oligotrophic microbial communities in bare soils harbored a higher proportion of genes that are unavailable in public reference databases. Collectively, our work demonstrates that life-history traits can distill complex microbial communities into ecologically coherent units and highlights that oligotrophic microbial communities serve as a rich source of novel functions.

Indexed as

EcosystemMicrobiotaMetagenomeRNA, Ribosomal, 16SSoilSoil MicrobiologyRNA, Ribosomal, 16SSoil

Identifiers

PMID33051582
PMCPMC8027408
OpenAlexW3092643729

What OpenQuestion holds

Textmetadata
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.