Evidence map›Paper›PMID 41214526›Full record

ArticleBMC plant biology2025

Molecular characteristics and regulatory effects of dwarfing Rht genes in Triticum aestivum L.

Ying Run Wang, Jia Shi, Yi Yang He, Yu Lu Tao, Lan Tian Ren, Qing Qin Shao, Xiang Chen, Zi Feng Wu, Jin Cai Li, Jia Cheng Zheng

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ying Run Wang *College of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Jia Shi *College of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Yi Yang HeCollege of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Yu Lu TaoCollege of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Lan Tian RenCollege of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Qing Qin ShaoCollege of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China.
Xiang ChenNational Engineering Laboratory of Crop Stress Resistance Breeding, Anhui Agricultural University, Hefei, Anhui, China.
Zi Feng WuAnhui Agricultural Technology Station, Hefei, Anhui, China.
Jin Cai LiNational Engineering Laboratory of Crop Stress Resistance Breeding, Anhui Agricultural University, Hefei, Anhui, China. lijincai@ahau.edu.cn.
Jia Cheng ZhengCollege of Agronomy, Anhui Science and Technology University, Fengyang, Anhui, China. zhengjiachengx2016@126.com.

Funding

Crop Science of Anhui Science and Technology University No.XK-XJGF001the Academic Innovation Project of Anhui 2024cxcysj186the Collaborative Innovation Programs of Anhui University GXXT-2023-103the enterprises practice project of science and engineering teachers of Anhui University 2024jsqygz66the Science and Technology Plan Project 2024NY-03
6 · The paper itself

Abstract

backgroundApplication of Rht dwarfing genes has significantly enhanced plant lodging resistance and harvest index. However, the numerous members of Rht genes, particularly newly cloned genes in recent years, remain poorly understood in integrated analysis of their expression patterns under stress conditions, allelic interaction effects, and molecular regulatory mechanisms, these limit our comprehensive exploration of Rht gene regulatory network, and hinder the potential application in wheat genetic improvement.

resultsThis study comprehensively analyzed the characteristics of Rht family members. The results showed that there were 27 Rht genes in wheat, with only 10 cloned members. Collinearity of Rht genes was observed in wheat genomes, as well as cross-species collinearity. Rht1 exhibited significantly highest basal expression from roots to grain, and actively responded to phosphate stress, with markedly upregulated after 4 h treatment, achieving a maximum value of log

conclusionsThis study systematically analyzed the regulatory relationships among Rht genes and their expression patterns under abiotic stress conditions, and evaluated the combined effects of alleles. Grey correlation analysis revealed that Rht1 and Rht5 were strongly correlated with plant height and yield-related traits. These provide theoretical support for allele combinations to breed the dwarf and high-yield wheat during molecular design breeding, such as Rht4 + Rht8 for reasonable plant type, Rht8 + Rht12 + Rht24 for favourable grain yield, thereby achieving breeding goals that balance height and stable yields.

Indexed as

Genes, PlantPlant ProteinsTriticumGene Expression Regulation, PlantPlant ProteinsExpression patternsFunctional characteristicsRegulatory effectsRht dwarfing genesWheat

Identifiers

PMID41214526
PMCPMC12599085

What Socratic holds

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LicenceCC BY
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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 Socratic graph.