Evidence map›Paper›PMID 39725892›Full record

ArticleBMC plant biology2024

GsMYB10 encoding a MYB-CC transcription factor enhances the tolerance to acidic aluminum stress in soybean.

Ce Yang, Xiang Lu, Dan Du, Zhongyi Liang, Cheng Li, Kang Hu, Hongjie Wang, Yanbo Cheng, Tengxiang Lian, Hai Nian and 1 more

Abstract read
In one paragraph

Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Overexpression ofPlants (Basel, Switzerland) · 2026
    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

11 authors.

Ce Yang *The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Xiang Lu *The State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Dan DuKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Zhongyi LiangThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Cheng LiThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Kang HuKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Hongjie WangKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Yanbo ChengKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Tengxiang LianKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China.
Hai NianThe State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources, South China Agricultural University, Guangzhou, Guangdong, 510642, China. hnian@scau.edu.cn.
Qibin MaKey Laboratory of Plant Molecular Breeding of Guangdong Province, College of Agriculture, South China Agricultural University, Guangzhou, Guangdong, 510642, China. maqibin@scau.edu.cn.

Funding

China Agricultural Research System CARS-04-PS09Guangdong Provincial Laboratory of Lingnan Modern Agricultural Science and Technology NZ2021012Key Area Research and Development Program of Guangdong Province 2020B020220008Ministry of Agriculture and Rural Affairs agricultural products quality and safety supervision special 4100-C17106, 21301091702101National Key R&D Program of China 2017YFD0101500National Natural Science Foundation of China 31771816, 31971965 and 31371642New Varieties Cultivation of Genetically Modified Organisms 2016ZX08004002-007Research Project of the State Key Laboratory of Agricultural and Biological Resources Protection and Utilization in Subtropics 4100-31331Science and Technology of Guangzhou 201804020015
6 · The paper itself

Abstract

backgroundMYB transcription factors (TFs) play crucial roles in the response to diverse abiotic and biotic stress factors in plants. In this study, the GsMYB10 gene encoding a MYB-CC transcription factor was cloned from wild soybean BW69 line. However, there is less report on the aluminum (Al)-tolerant gene in this subfamily.

resultsThe GsMYB10 gene was up-regulated by acidic aluminum stress and rich in the roots with a constitutive expression pattern in soybean. It was found that GsMYB10 protein contains the MYB and coiled-coil (CC) domains, localizes in the nucleus and holds transcriptional activity. The analysis of the transgenic phenotype revealed that the taproot length and root fresh weights of the GsMYB10-OE plants were greater than those of the wild type when subjected to AlCl

conclusionsIn summary, the data presented in this paper indicate that GsMYB10, as a new soybean MYB-CC TF, is a positive regulator and increases the adaptability of soybeans to acidic aluminum stress. The findings will contribute to the understanding of soybean response to acidic aluminum stress.

Indexed as

AluminumGlycine maxPlant ProteinsPlants, Genetically ModifiedStress, PhysiologicalTranscription FactorsGene Expression Regulation, PlantGenes, PlantAluminumPlant ProteinsTranscription FactorsAluminum stressMYB-CC familySoybeanTranscription factor

Identifiers

PMID39725892
PMCPMC11670377

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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.