Literature DB >> 24326459

Construction of an integrative linkage map and QTL mapping of grain yield-related traits using three related wheat RIL populations.

Fa Cui1, Chunhua Zhao, Anming Ding, Jun Li, Lin Wang, Xingfeng Li, Yinguang Bao, Junming Li, Honggang Wang.   

Abstract

A novel high-density consensus wheat genetic map was obtained based on three related RIL populations, and the important chromosomal regions affecting yield and related traits were specified. A prerequisite for mapping quantitative trait locus (QTL) is to build a genetic linkage map. In this study, three recombinant inbred line populations (represented by WL, WY, and WJ) sharing one common parental line were used for map construction and subsequently for QTL detection of yield-related traits. PCR-based and diversity arrays technology markers were screened in the three populations. The integrated genetic map contains 1,127 marker loci, which span 2,976.75 cM for the whole genome, 985.93 cM for the A genome, 922.16 cM for the B genome, and 1,068.65 cM for the D genome. Phenotypic values were evaluated in four environments for populations WY and WJ, but three environments for population WL. Individual and combined phenotypic values across environments were used for QTL detection. A total of 165 putative additive QTL were identified, 22 of which showed significant additive-by-environment interaction effects. A total of 65 QTL (51.5%) were stable across environments, and 23 of these (35.4%) were common stable QTL that were identified in at least two populations. Notably, QTkw-5B.1, QTkw-6A.2, and QTkw-7B.1 were common major stable QTL in at least two populations, exhibiting 11.28-16.06, 5.64-18.69, and 6.76-21.16% of the phenotypic variance, respectively. Genetic relationships between kernel dimensions and kernel weight and between yield components and yield were evaluated. Moreover, QTL or regions that commonly interact across genetic backgrounds were discussed by comparing the results of the present study with those of previous similar studies. The present study provides useful information for marker-assisted selection in breeding wheat varieties with high yield.

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Year:  2013        PMID: 24326459     DOI: 10.1007/s00122-013-2249-8

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  36 in total

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Authors:  P Sourdille; T Cadalen; H Guyomarc'h; J W Snape; M R Perretant; G Charmet; C Boeuf; S Bernard; M Bernard
Journal:  Theor Appl Genet       Date:  2002-09-19       Impact factor: 5.699

2.  A wheat intervarietal genetic linkage map based on microsatellite and target region amplified polymorphism markers and its utility for detecting quantitative trait loci.

Authors:  Z H Liu; J A Anderson; J Hu; T L Friesen; J B Rasmussen; J D Faris
Journal:  Theor Appl Genet       Date:  2005-07-15       Impact factor: 5.699

3.  Conditional QTL mapping for plant height with respect to the length of the spike and internode in two mapping populations of wheat.

Authors:  Fa Cui; Jun Li; Anming Ding; Chunhua Zhao; Lin Wang; Xiuqin Wang; Sishen Li; Yinguang Bao; Xingfeng Li; Deshun Feng; Lingrang Kong; Honggang Wang
Journal:  Theor Appl Genet       Date:  2011-02-26       Impact factor: 5.699

4.  Dissecting a wheat QTL for yield present in a range of environments: from the QTL to candidate genes.

Authors:  Sa Quarrie; S Pekic Quarrie; R Radosevic; D Rancic; A Kaminska; J D Barnes; M Leverington; C Ceoloni; D Dodig
Journal:  J Exp Bot       Date:  2006-07-10       Impact factor: 6.992

5.  Identifying loci influencing grain number by microsatellite screening in bread wheat (Triticum aestivum L.).

Authors:  Dongling Zhang; Chenyang Hao; Lanfen Wang; Xueyong Zhang
Journal:  Planta       Date:  2012-07-21       Impact factor: 4.116

6.  Mapping of quantitative trait loci determining agronomic important characters in hexaploid wheat ( Triticum aestivum L.).

Authors:  A. Börner; E. Schumann; A. Fürste; H. Cöster; B. Leithold; S. Röder; E. Weber
Journal:  Theor Appl Genet       Date:  2002-06-21       Impact factor: 5.699

7.  Wheat kernel dimensions: how do they contribute to kernel weight at an individual QTL level?

Authors:  Fa Cui; Anming Ding; Jun Li; Chunhua Zhao; Xingfeng Li; Deshun Feng; Xiuqin Wang; Lin Wang; Jurong Gao; Honggang Wang
Journal:  J Genet       Date:  2011-12       Impact factor: 1.166

8.  Advanced backcross QTL analysis in progenies derived from a cross between a German elite winter wheat variety and a synthetic wheat (Triticum aestivum L.).

Authors:  X Q Huang; H Kempf; M W Ganal; M S Röder
Journal:  Theor Appl Genet       Date:  2004-09       Impact factor: 5.699

9.  MAPMAKER: an interactive computer package for constructing primary genetic linkage maps of experimental and natural populations.

Authors:  E S Lander; P Green; J Abrahamson; A Barlow; M J Daly; S E Lincoln; L A Newberg; L Newburg
Journal:  Genomics       Date:  1987-10       Impact factor: 5.736

10.  Comparison of genetic and cytogenetic maps of hexaploid wheat (Triticum aestivum L.) using SSR and DArT markers.

Authors:  Michael G Francki; Esther Walker; Allison C Crawford; Sue Broughton; Herbert W Ohm; Iain Barclay; Robin E Wilson; Robyn McLean
Journal:  Mol Genet Genomics       Date:  2008-11-20       Impact factor: 3.291

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  58 in total

1.  Characterization of three wheat grain weight QTLs that differentially affect kernel dimensions.

Authors:  Yulong Huang; Zhongxin Kong; Xinyi Wu; Ruiru Cheng; Dong Yu; Zhengqiang Ma
Journal:  Theor Appl Genet       Date:  2015-09-03       Impact factor: 5.699

2.  Considering causal genes in the genetic dissection of kernel traits in common wheat.

Authors:  Volker Mohler; Theresa Albrecht; Adelheid Castell; Manuela Diethelm; Günther Schweizer; Lorenz Hartl
Journal:  J Appl Genet       Date:  2016-04-23       Impact factor: 3.240

3.  Mapping QTLs of yield-related traits using RIL population derived from common wheat and Tibetan semi-wild wheat.

Authors:  Gang Liu; Lijia Jia; Lahu Lu; Dandan Qin; Jinping Zhang; Panfeng Guan; Zhongfu Ni; Yingyin Yao; Qixin Sun; Huiru Peng
Journal:  Theor Appl Genet       Date:  2014-09-11       Impact factor: 5.699

4.  QTL detection for wheat kernel size and quality and the responses of these traits to low nitrogen stress.

Authors:  Fa Cui; Xiaoli Fan; Mei Chen; Na Zhang; Chunhua Zhao; Wei Zhang; Jie Han; Jun Ji; Xueqiang Zhao; Lijuan Yang; Zongwu Zhao; Yiping Tong; Tao Wang; Junming Li
Journal:  Theor Appl Genet       Date:  2015-12-10       Impact factor: 5.699

5.  Dissection of genetic factors underlying grain size and fine mapping of QTgw.cau-7D in common wheat (Triticum aestivum L.).

Authors:  Zhaoyan Chen; Xuejiao Cheng; Lingling Chai; Zhihui Wang; Ruolin Bian; Jiang Li; Aiju Zhao; Mingming Xin; Weilong Guo; Zhaorong Hu; Huiru Peng; Yingyin Yao; Qixin Sun; Zhongfu Ni
Journal:  Theor Appl Genet       Date:  2019-09-30       Impact factor: 5.699

6.  QTL mapping for grain yield-related traits in bread wheat via SNP-based selective genotyping.

Authors:  Li Yang; Dehui Zhao; Zili Meng; Kaijie Xu; Jun Yan; Xianchun Xia; Shuanghe Cao; Yubing Tian; Zhonghu He; Yong Zhang
Journal:  Theor Appl Genet       Date:  2019-12-16       Impact factor: 5.699

7.  Genetic dissection of a major QTL for kernel weight spanning the Rht-B1 locus in bread wheat.

Authors:  Dengan Xu; Weie Wen; Luping Fu; Faji Li; Jihu Li; Li Xie; Xianchun Xia; Zhongfu Ni; Zhonghu He; Shuanghe Cao
Journal:  Theor Appl Genet       Date:  2019-09-12       Impact factor: 5.699

8.  Genetic dissection of wheat panicle traits using linkage analysis and a genome-wide association study.

Authors:  Kai Liu; Xiaoxiao Sun; Tangyuan Ning; Xixian Duan; Qiaoling Wang; Tongtong Liu; Yuling An; Xin Guan; Jichun Tian; Jiansheng Chen
Journal:  Theor Appl Genet       Date:  2018-02-22       Impact factor: 5.699

9.  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

10.  Mapping QTLs controlling kernel dimensions in a wheat inter-varietal RIL mapping population.

Authors:  Ruiru Cheng; Zhongxin Kong; Liwei Zhang; Quan Xie; Haiyan Jia; Dong Yu; Yulong Huang; Zhengqiang Ma
Journal:  Theor Appl Genet       Date:  2017-05-19       Impact factor: 5.699

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