Literature DB >> 26743986

Characterization of a Putative New Semi-Dominant Reduced Height Gene, Rht_NM9, in Wheat (Triticum aestivum L.).

Yuan Lu1, Liping Xing1, Shujuan Xing1, Ping Hu1, Chaofan Cui1, Mingyi Zhang1, Jin Xiao1, Haiyan Wang1, Ruiqi Zhang1, Xiue Wang1, Peidu Chen1, Aizhong Cao2.   

Abstract

Plant height is an important agronomic trait in cereal crops, and can affect both plant architecture and grain yield. New dwarfing genes are required for improving the genetic diversity of wheat. In this study, a novel dwarf mutant, NM9, was created by treating seeds of the wheat variety NAU9918 with ethyl methanesulfonate (EMS). NM9 showed obvious phenotypic changes, which were distinct from those caused by other dwarfing genes, especially the reduced plant height, increased effective tiller number, and elongated spike and grain length. The reduced plant height in NM9 was attributable to a semi-dominant dwarfing gene Rht_NM9, which was flanked by two closely linked SNP markers, SNP34 and SNP41, covering an 8.86-Mb region on the chromosome arm 2AS. The results of gibberellic acid (GA) sensitivity evaluation, comparative genomics analysis and allelism test indicated that Rht_NM9 was neither allelic to Rht7 and Rht21 nor homoeoallelic to Rht8, so Rht_NM9 was proposed to be a new dwarfing locus on the homoeologous group 2 chromosomes of wheat. Rht_NM9 has a negative effect on plant height and positive effects on effective tiller number and grain size, thus, Rht_NM9 could be used for elucidating the mechanisms underlying plant architecture and grain development.
Copyright © 2015 Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Gene mapping; Mutant; Plant architecture; Wheat

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Year:  2015        PMID: 26743986     DOI: 10.1016/j.jgg.2015.08.007

Source DB:  PubMed          Journal:  J Genet Genomics        ISSN: 1673-8527            Impact factor:   4.275


  6 in total

1.  Genome-wide linkage mapping of yield-related traits in three Chinese bread wheat populations using high-density SNP markers.

Authors:  Faji Li; Weie Wen; Zhonghu He; Jindong Liu; Hui Jin; Shuanghe Cao; Hongwei Geng; Jun Yan; Pingzhi Zhang; Yingxiu Wan; Xianchun Xia
Journal:  Theor Appl Genet       Date:  2018-06-01       Impact factor: 5.699

2.  Characterization of the temporal and spatial expression of wheat (Triticum aestivum L.) plant height at the QTL level and their influence on yield-related traits.

Authors:  Na Zhang; Xiaoli Fan; Fa Cui; Chunhua Zhao; Wei Zhang; Xueqiang Zhao; Lijuan Yang; Ruiqing Pan; Mei Chen; Jie Han; Jun Ji; Dongcheng Liu; Zongwu Zhao; Yiping Tong; Aimin Zhang; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2017-03-27       Impact factor: 5.699

3.  Characterization of a common wheat (Triticum aestivum L.) high-tillering dwarf mutant.

Authors:  Tao Xu; Nengfei Bian; Mingxing Wen; Jin Xiao; Chunxia Yuan; Aizhong Cao; Shouzhong Zhang; Xiue Wang; Haiyan Wang
Journal:  Theor Appl Genet       Date:  2016-11-19       Impact factor: 5.699

4.  Utilization of a Wheat55K SNP Array for Mapping of Major QTL for Temporal Expression of the Tiller Number.

Authors:  Tianheng Ren; Yangshan Hu; Yingzi Tang; Chunsheng Li; Benju Yan; Zhenglong Ren; Feiquan Tan; Zongxiang Tang; Shulan Fu; Zhi Li
Journal:  Front Plant Sci       Date:  2018-03-15       Impact factor: 5.753

5.  Genome-wide association study of yield and related traits in common wheat under salt-stress conditions.

Authors:  Pan Hu; Qi Zheng; Qiaoling Luo; Wan Teng; Hongwei Li; Bin Li; Zhensheng Li
Journal:  BMC Plant Biol       Date:  2021-01-07       Impact factor: 4.215

6.  Yield-Related QTL Clusters and the Potential Candidate Genes in Two Wheat DH Populations.

Authors:  Jingjuan Zhang; Maoyun She; Rongchang Yang; Yanjie Jiang; Yebo Qin; Shengnan Zhai; Sadegh Balotf; Yun Zhao; Masood Anwar; Zaid Alhabbar; Angéla Juhász; Jiansheng Chen; Hang Liu; Qier Liu; Ting Zheng; Fan Yang; Junkang Rong; Kefei Chen; Meiqin Lu; Shahidul Islam; Wujun Ma
Journal:  Int J Mol Sci       Date:  2021-11-03       Impact factor: 5.923

  6 in total

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