Literature DB >> 28724085

Quantitative Trait Loci Mapping for Spike Characteristics in Hexaploid Wheat.

Yaopeng Zhou, Benjamin Conway, Daniela Miller, David Marshall, Aaron Cooper, Paul Murphy, Shiaoman Chao, Gina Brown-Guedira, José Costa.   

Abstract

Wheat ( L.) spike characteristics determine the number of grains produced on each spike and constitute key components of grain yield. Understanding of the genetic basis of spike characteristics in wheat, however, is limited. In this study, genotyping-by-sequencing (GBS) and the iSelect 9K assay were used on a doubled-haploid (DH) soft red winter wheat population that showed a wide range of phenotypic variation for spike traits. A genetic map spanning 2934.1 cM with an average interval length of 3.4 cM was constructed. Quantitative trait loci (QTL) analysis involving additive effects, epistasis (QQ) and QTL × environment (QE), and epistasis × environment (QQE) interactions detected a total of 109 QTL, 13 QE, and 20 QQ interactions in five environments. Spike characteristics were mainly determined by additive effects and were fine-tuned by QQ, QE, and QQE. Major QTL / explained up to 30.9% of the phenotypic variation for spike length (SL) and fertile spikelet number, .1 explained up to 15.6% of the phenotypic variation of grain number per spikelet, and explained up to 80.2% of the phenotypic variation for spike compactness. Additionally, QTL for correlated spike characteristics formed QTL clusters on chromosomes 1A, 5A, 2B, 3B, 5B, 1D, and 5D. This study expands the understanding of the genetic basis of spike characteristics in hexaploid wheat. A number of stable QTL detected in this study have potential to be used in marker-assisted selection. Additionally, the genetic map generated in this study could be used to study other traits of economic importance.
Copyright © 2017 Crop Science Society of America.

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Year:  2017        PMID: 28724085     DOI: 10.3835/plantgenome2016.10.0101

Source DB:  PubMed          Journal:  Plant Genome        ISSN: 1940-3372            Impact factor:   4.089


  21 in total

1.  Identification and characterization of QTL for spike morphological traits, plant height and heading date derived from the D genome of natural and resynthetic allohexaploid wheat.

Authors:  Huanwen Xu; Runqi Zhang; Mingming Wang; Linghong Li; Lei Yan; Zhen Wang; Jun Zhu; Xiyong Chen; Aiju Zhao; Zhenqi Su; Jiewen Xing; Qixin Sun; Zhongfu Ni
Journal:  Theor Appl Genet       Date:  2021-10-21       Impact factor: 5.699

2.  Whole-genome analysis of hard winter wheat germplasm identifies genomic regions associated with spike and kernel traits.

Authors:  Harsimardeep S Gill; Jyotirmoy Halder; Jinfeng Zhang; Anshul Rana; Jonathan Kleinjan; Paul St Amand; Amy Bernardo; Guihua Bai; Sunish K Sehgal
Journal:  Theor Appl Genet       Date:  2022-08-08       Impact factor: 5.574

3.  A single nucleotide deletion in the third exon of FT-D1 increases the spikelet number and delays heading date in wheat (Triticum aestivum L.).

Authors:  Zhaoyan Chen; Wensheng Ke; Fei He; Lingling Chai; Xuejiao Cheng; Huanwen Xu; Xiaobo Wang; Dejie Du; Yidi Zhao; Xiyong Chen; Jiewen Xing; Mingming Xin; Weilong Guo; Zhaorong Hu; Zhenqi Su; Jie Liu; Huiru Peng; Yingyin Yao; Qixin Sun; Zhongfu Ni
Journal:  Plant Biotechnol J       Date:  2022-01-29       Impact factor: 13.263

4.  Global QTL Analysis Identifies Genomic Regions on Chromosomes 4A and 4B Harboring Stable Loci for Yield-Related Traits Across Different Environments in Wheat (Triticum aestivum L.).

Authors:  Panfeng Guan; Lahu Lu; Lijia Jia; Muhammad Rezaul Kabir; Jinbo Zhang; Tianyu Lan; Yue Zhao; Mingming Xin; Zhaorong Hu; Yingyin Yao; Zhongfu Ni; Qixin Sun; Huiru Peng
Journal:  Front Plant Sci       Date:  2018-04-25       Impact factor: 5.753

5.  QTL identification and KASP marker development for productive tiller and fertile spikelet numbers in two high-yielding hard white spring wheat cultivars.

Authors:  Rui Wang; Yuxiu Liu; Kyle Isham; Weidong Zhao; Justin Wheeler; Natalie Klassen; Yingang Hu; J Michael Bonman; Jianli Chen
Journal:  Mol Breed       Date:  2018-11-01       Impact factor: 2.589

6.  A Genome-Wide Association Study of Wheat Spike Related Traits in China.

Authors:  Jing Liu; Zhibin Xu; Xiaoli Fan; Qiang Zhou; Jun Cao; Fang Wang; Guangsi Ji; Li Yang; Bo Feng; Tao Wang
Journal:  Front Plant Sci       Date:  2018-10-31       Impact factor: 5.753

7.  Genetic insights into morphometric inflorescence traits of wheat.

Authors:  Gizaw M Wolde; Corinna Trautewig; Martin Mascher; Thorsten Schnurbusch
Journal:  Theor Appl Genet       Date:  2019-02-14       Impact factor: 5.699

8.  Aegilops tauschii Genome Sequence: A Framework for Meta-analysis of Wheat QTLs.

Authors:  Jiale Xu; Xiongtao Dai; Ramesh K Ramasamy; Le Wang; Tingting Zhu; Patrick E McGuire; Chad M Jorgensen; Hamid Dehghani; Patrick J Gulick; Ming-Cheng Luo; Hans-Georg Müller; Jan Dvorak
Journal:  G3 (Bethesda)       Date:  2019-03-07       Impact factor: 3.154

9.  Genome-wide association study reveals new loci for yield-related traits in Sichuan wheat germplasm under stripe rust stress.

Authors:  Xueling Ye; Jian Li; Yukun Cheng; Fangjie Yao; Li Long; Yuqi Wang; Yu Wu; Jing Li; Jirui Wang; Qiantao Jiang; Houyang Kang; Wei Li; Pengfei Qi; Xiujin Lan; Jian Ma; Yaxi Liu; Yunfeng Jiang; Yuming Wei; Xianming Chen; Chunji Liu; Youliang Zheng; Guoyue Chen
Journal:  BMC Genomics       Date:  2019-08-08       Impact factor: 3.969

10.  Phenotypic and genetic analysis of spike and kernel characteristics in wheat reveals long-term genetic trends of grain yield components.

Authors:  Tobias Würschum; Willmar L Leiser; Simon M Langer; Matthew R Tucker; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2018-06-29       Impact factor: 5.699

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