Literature DB >> 12595995

QTL analysis for grain protein content using SSR markers and validation studies using NILs in bread wheat.

M Prasad1, N Kumar, P L Kulwal, M S Röder, H S Balyan, H S Dhaliwal, P K Gupta.   

Abstract

QTL interval mapping for grain protein content (GPC) in bread wheat was conducted for the first time, using a framework map based on a mapping population, which was available in the form of 100 recombinant inbred lines (RILs). The data on GPC for QTL mapping was recorded by growing the RILs in five different environments representing three wheat growing locations from Northern India; one of these locations was repeated for 3 years. Distribution of GPC values followed normal distributions in all the environments, which could be explained by significant g x e interactions observed through analyses of variances, which also gave significant effects due to genotypes and environments. Thirteen (13) QTLs were identified in individual environments following three methods (single-marker analysis or SMA, simple interval mapping or SIM and composite interval mapping or CIM) and using LOD scores that ranged from 2.5 to 6.5. Threshold LOD scores (ranging from 3.05 to 3.57), worked out and used in each case, however, detected only seven of the above 13 QTLs. Only four (QGpc.ccsu-2B.1; QGpc.ccsu-2D.1; QGpc.ccsu-3D.1 and QGpc.ccsu-7A.1) of these QTLs were identified either in more than one location or following one more method other than CIM; another QTL (QGpc.ccsu-3D.2), which was identified using means for all the environments, was also considered to be important. These five QTLs have been recommended for marker-assisted selection (MAS). The QTLs identified as above were also validated using ten NILs derived from three crosses. Five of the ten NILs possessed 38 introgressed segments from 16 chromosomes and carried 42 of the 173 markers that were mapped. All the seven QTLs were associated with one or more of the markers carried by the above introgressed segments, thus validating the corresponding markers. More markers associated with many more QTLs to be identified should become available in the future by effective MAS for GPC improvement.

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Year:  2002        PMID: 12595995     DOI: 10.1007/s00122-002-1114-y

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


  47 in total

1.  Gene networks in hexaploid wheat: interacting quantitative trait loci for grain protein content.

Authors:  Pawan Kulwal; Neeraj Kumar; Ajay Kumar; Raj Kumar Gupta; Harindra Singh Balyan; Pushpendra Kumar Gupta
Journal:  Funct Integr Genomics       Date:  2005-02-15       Impact factor: 3.410

2.  The genetic control of milling yield, dough rheology and baking quality of wheat.

Authors:  H Kuchel; P Langridge; L Mosionek; K Williams; S P Jefferies
Journal:  Theor Appl Genet       Date:  2006-03-21       Impact factor: 5.699

3.  Association mapping of agronomic traits on chromosome 2A of wheat.

Authors:  Ji Yao; Lixin Wang; Lihua Liu; Changping Zhao; Yonglian Zheng
Journal:  Genetica       Date:  2009-01-23       Impact factor: 1.082

4.  The glutamine synthetase (GS2) genes in relation to grain protein content of durum wheat.

Authors:  Agata Gadaleta; Domenica Nigro; Angelica Giancaspro; Antonio Blanco
Journal:  Funct Integr Genomics       Date:  2011-07-14       Impact factor: 3.410

5.  New QTL alleles for quality-related traits in spring wheat revealed by RIL population derived from supernumerary × non-supernumerary spikelet genotypes.

Authors:  Morgan Echeverry-Solarte; Ajay Kumar; Shahryar Kianian; Senay Simsek; Mohammed S Alamri; Eder E Mantovani; Phillip E McClean; Edward L Deckard; Elias Elias; Blaine Schatz; Steven S Xu; Mohamed Mergoum
Journal:  Theor Appl Genet       Date:  2015-03-05       Impact factor: 5.699

6.  Molecular genetic analysis of grain protein content and flour whiteness degree using RILs in common wheat.

Authors:  Xianyin Sun; Ke Wu; Yan Zhao; Zhaoguo Qian; Fanmei Kong; Ying Guo; Yingying Wang; Sishen Li
Journal:  J Genet       Date:  2016-06       Impact factor: 1.166

7.  Molecular detection of QTLs for agronomic and quality traits in a doubled haploid population derived from two Canadian wheats (Triticum aestivum L.).

Authors:  X Q Huang; S Cloutier; L Lycar; N Radovanovic; D G Humphreys; J S Noll; D J Somers; P D Brown
Journal:  Theor Appl Genet       Date:  2006-07-13       Impact factor: 5.699

8.  Identification of milling and baking quality QTL in multiple soft wheat mapping populations.

Authors:  Antonio Cabrera; Mary Guttieri; Nathan Smith; Edward Souza; Anne Sturbaum; Duc Hua; Carl Griffey; Marla Barnett; Paul Murphy; Herb Ohm; Jim Uphaus; Mark Sorrells; Elliot Heffner; Gina Brown-Guedira; David Van Sanford; Clay Sneller
Journal:  Theor Appl Genet       Date:  2015-07-19       Impact factor: 5.699

9.  Conditional QTL mapping of protein content in wheat with respect to grain yield and its components.

Authors:  Lin Wang; Fa Cui; Jinping Wang; Li Jun; Anming Ding; Chunhua Zhao; Xingfeng Li; Deshun Feng; Jurong Gao; Honggang Wang
Journal:  J Genet       Date:  2012       Impact factor: 1.166

10.  Physical mapping of a large plant genome using global high-information-content-fingerprinting: the distal region of the wheat ancestor Aegilops tauschii chromosome 3DS.

Authors:  Delphine Fleury; Ming-Cheng Luo; Jan Dvorak; Luke Ramsay; Bikram S Gill; Olin D Anderson; Frank M You; Zahra Shoaei; Karin R Deal; Peter Langridge
Journal:  BMC Genomics       Date:  2010-06-17       Impact factor: 3.969

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