Evidence map›Paper›PMID 39567534›Full record

ArticleNature communications2024

Root hair developmental regulators orchestrate drought triggered microbiome changes and the interaction with beneficial Rhizobiaceae.

Zhenghong Wang, Zewen Li, Yujie Zhang, Jingye Liao, Kaixiang Guan, Jingxuan Zhai, Pengfei Meng, Xianli Tang, Tao Dong, Yi Song

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  19. Endophytic Fungal Diversity inJournal of fungi (Basel, Switzerland) · 2025
    Article
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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

10 authors.

Zhenghong Wang *Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Zewen Li *Shenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Yujie ZhangShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Jingye LiaoShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Kaixiang GuanShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Jingxuan ZhaiShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Pengfei MengShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Xianli TangShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.
Tao DongDepartment of Immunology and Microbiology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China.ORCID 0000-0003-3557-1850
Yi SongShenzhen Key Laboratory of Plant Genetic Engineering and Molecular Design, Institute of Plant and Food Science, Department of Biology, School of Life Sciences, Southern University of Science and Technology (SUSTech), Shenzhen, Guangdong, China. songy3@sustech.edu.cn.ORCID 0000-0002-7129-7900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the most serious abiotic stresses, and emerging evidence suggest plant microbiome affects plant drought tolerance. However, there is a lack of genetic evidence regarding whether and how plants orchestrate the dynamic assembly of the microbiome upon drought. By utilizing mutants with enhanced or decreased root hair densities, we find that root hair regulators also affect drought induced root microbiome changes. Rhizobiaceae is a key biomarker taxa affected by root hair related mutants. We isolated and sequenced 1479 root associated microbes, and confirmed that several Rhizobium strains presented stress-alleviating activities. Metagenome, root transcriptome and root metabolome studies further reveal the multi-omic changes upon drought stress. We knocked out an ornithine cyclodeaminase (ocd) gene in Rhizobium sp. 4F10, which significantly dampens its stress alleviating ability. Our genetic and integrated multi-omics studies confirm the involvement of host genetic effects in reshaping a stress-alleviating root microbiome during drought, and provide mechanistic insights into Rhizobiaceae mediated abiotic stress protection.

Indexed as

DroughtsMicrobiotaPlant RootsStress, PhysiologicalArabidopsisMetagenomeRhizobiumSymbiosisTranscriptome

Identifiers

PMID39567534
PMCPMC11579020

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.