Evidence map›Paper›PMID 33980999›Full record

ArticleThe ISME journal2021

Genome wide association study reveals plant loci controlling heritability of the rhizosphere microbiome.

Siwen Deng, Daniel F Caddell, Gen Xu, Lindsay Dahlen, Lorenzo Washington, Jinliang Yang, Devin Coleman-Derr

Open access · hybridAbstract 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 108 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
108citing papers in PubMed, 1 pooled it
36.3field-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

108 citing papers in PubMed, 1 synthesis or guideline pooled it, 219 citations in OpenAlex.

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48 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

7 authors at 4 institutions in 1 country.

Siwen DengDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Daniel F CaddellPlant Gene Expression Center, USDA-ARS, Albany, CA, USA.ORCID http://orcid.org/0000-0003-4005-7151
Gen XuDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
Lindsay DahlenDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Lorenzo WashingtonDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA.
Jinliang YangDepartment of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
Devin Coleman-DerrDepartment of Plant and Microbial Biology, University of California, Berkeley, CA, USA. colemanderr@berkeley.edu.ORCID http://orcid.org/0000-0002-6282-1731
Plant Gene Expression Center · USUniversity of Nebraska–Lincoln · USCarnegie Department of Plant Biology · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Host genetics has recently been shown to be a driver of plant microbiome composition. However, identifying the underlying genetic loci controlling microbial selection remains challenging. Genome-wide association studies (GWAS) represent a potentially powerful, unbiased method to identify microbes sensitive to the host genotype and to connect them with the genetic loci that influence their colonization. Here, we conducted a population-level microbiome analysis of the rhizospheres of 200 sorghum genotypes. Using 16S rRNA amplicon sequencing, we identify rhizosphere-associated bacteria exhibiting heritable associations with plant genotype, and identify significant overlap between these lineages and heritable taxa recently identified in maize. Furthermore, we demonstrate that GWAS can identify host loci that correlate with the abundance of specific subsets of the rhizosphere microbiome. Finally, we demonstrate that these results can be used to predict rhizosphere microbiome structure for an independent panel of sorghum genotypes based solely on knowledge of host genotypic information.

Indexed as

MicrobiotaRhizosphereGenome-Wide Association StudyRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16S

Identifiers

PMID33980999
PMCPMC8528814
OpenAlexW3161206610

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.