Evidence map›Paper›PMID 35710629›Full record

ArticleNature communications2022

Disentangling the genetic basis of rhizosphere microbiome assembly in tomato.

Ben O Oyserman, Stalin Sarango Flores, Thom Griffioen, Xinya Pan, Elmar van der Wijk, Lotte Pronk, Wouter Lokhorst, Azkia Nurfikari, Joseph N Paulson, Mercedeh Movassagh and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2022. 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
–field-weighted citation impact
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.

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  12. mSphere · 2026
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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

18 authors.

Ben O OysermanDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands. benoyserman@gmail.com.ORCID 0000-0001-9052-2651
Stalin Sarango FloresDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
Thom GriffioenDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.ORCID 0000-0003-0504-6633
Xinya PanDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
Elmar van der WijkBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0003-4426-0691
Lotte PronkBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-3083-954X
Wouter LokhorstDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.ORCID 0000-0001-6778-6632
Azkia NurfikariDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.ORCID 0000-0002-7592-2099
Joseph N PaulsonDepartment of Data Sciences, Genentech, Inc. South San Francisco, South San Francisco, CA, USA.ORCID 0000-0001-8221-7139
Mercedeh MovassaghDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Nejc StopnisekDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.ORCID 0000-0002-1532-6826
Anne KupczokBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0001-5237-1899
Viviane CordovezDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.
Víctor J CarriónDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands.ORCID 0000-0002-4093-0355
Wilco LigterinkWageningen Seed Lab, Laboratory of Plant Physiology, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-0228-169X
Basten L SnoekTheoretical Biology and Bioinformatics, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0001-5321-2996
Marnix H MedemaBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-2191-2821
Jos M RaaijmakersDepartment of Microbial Ecology, Netherlands Institute of Ecology, Wageningen, The Netherlands. j.raaijmakers@nioo.knaw.nl.ORCID 0000-0003-1608-6614

Funding

Genomic and synthetic biology tools for expressing natural product gene clustersU01GM110706 · NIGMS · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, STEINMETZ, LARS M · 2014 to 2018
$10.9M
NIGMS NIH HHS U01 GM110706
6 · The paper itself

Abstract

Microbiomes play a pivotal role in plant growth and health, but the genetic factors involved in microbiome assembly remain largely elusive. Here, we map the molecular features of the rhizosphere microbiome as quantitative traits of a diverse hybrid population of wild and domesticated tomato. Gene content analysis of prioritized tomato quantitative trait loci suggests a genetic basis for differential recruitment of various rhizobacterial lineages, including a Streptomyces-associated 6.31 Mbp region harboring tomato domestication sweeps and encoding, among others, the iron regulator FIT and the water channel aquaporin SlTIP2.3. Within metagenome-assembled genomes of root-associated Streptomyces and Cellvibrio, we identify bacterial genes involved in metabolism of plant polysaccharides, iron, sulfur, trehalose, and vitamins, whose genetic variation associates with specific tomato QTLs. By integrating 'microbiomics' and quantitative plant genetics, we pinpoint putative plant and reciprocal rhizobacterial traits underlying microbiome assembly, thereby providing a first step towards plant-microbiome breeding programs.

Indexed as

MicrobiotaSolanum lycopersicumIronPlant BreedingPlantsRhizosphereIron

Identifiers

PMID35710629
PMCPMC9203511

What OpenQuestion holds

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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.