Evidence map›Paper›PMID 42117573›Full record

ArticlePlant, cell & environment2026

Arbuscular Mycorrhizal Fungus System Recruits Sphingomonas spp. to Enhance Drought Resistance in Peanut.

Xiao-Han Wu, Qing-Yun Gu, Chen-Yu Ma, Shu-Yuan Zhang, Ming-Hui Xu, Rui Yuan, Hao-Ran Li, Kai Sun, Wei Zhang, Chuan-Chao Dai

Abstract read
In one paragraph

Article in Plant, cell & environment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiao-Han WuJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Qing-Yun GuJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Chen-Yu MaJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Shu-Yuan ZhangJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Ming-Hui XuJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Rui YuanJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Hao-Ran LiJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Kai SunJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Wei ZhangJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.
Chuan-Chao DaiJiangsu Key Laboratory for Pathogens and Ecosystems, Jiangsu Engineering and Technology Research Center for Industrialisation of Microbial Resources, College of Life Sciences, Nanjing Normal University, Nanjing, China.ORCID https://orcid.org/0000-0002-0980-0018

Funding

National Natural Science Foundation of China 32571876
6 · The paper itself

Abstract

Against the background of global climate change, drought stress is a major factor limiting plant growth and development. A previous study demonstrated that Claroideoglomus etunicatum (C. etunicatum) could increase drought resistance in peanut (Arachis hypogaea L.), yet the mechanisms underlying this effect remain largely unclear. Here, the mechanisms by which C. etunicatum recruited beneficial bacteria through rhizodeposits to improve host drought resistance were investigated. In a soil microcosm system, C. etunicatum increased peanut drought resistance by enriching Sphingomonas spp. in the rhizosphere, with rhizodeposits likely playing a key role in this recruitment. Furthermore, metabolomic and whole-genome sequencing analyses revealed a cross-kingdom signalling cascade in which C. etunicatum induced the accumulation of the first signalling molecule, L-cysteine, in the rhizodeposits of host plants. The synthesis of a second signalling molecule, zeatin, in Sphingomonas sp. W9 was further promoted by L-cysteine through regulation of key genes in the relevant biosynthetic pathways. Exogenous application experiments confirmed that zeatin significantly improved peanut drought resistance. In summary, this study revealed a mechanism by which the rhizosphere microbial community affected drought resistance through a cross-kingdom signalling cascade, thereby providing new insights into plant-microbe cooperation under environmental stress.

Indexed as

ArachisMycorrhizaeSphingomonasDrought ResistanceDroughtsRhizosphereSoil MicrobiologyClaroideoglomus etunicatumdrought stresshigh‐throughput sequencingmetabolomicspeanutrhizodepositswhole‐genome sequencing

Identifiers

PMID42117573
PMCPMC13353702

What OpenQuestion holds

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Registered trials

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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.