Literature DB >> 24169664

Genotype-by-environment interaction in genetic mapping of multiple quantitative trait loci.

R C Jansen1, J W Van Ooijen, P Stam, C Lister, C Dean.   

Abstract

The interval mapping method is widely used for the genetic mapping of quantitative trait loci (QTLs), though true resolution of quantitative variation into QTLs is hampered with this method. Separation of QTLs is troublesome, because single-QTL is models are fitted. Further, genotype-by-environment interaction, which is of great importance in many quantitative traits, can only be approached by separately analyzing the data collected in multiple environments. Here, we demonstrate for the first time a novel analytic approach (MQM mapping) that accommodates both the mapping of multiple QTLs and genotype-by-environment interaction. MQM mapping is compared to interval mapping in the mapping of QTLs for flowering time in Arabidopsis thaliana under various photoperiod and vernalization conditions.

Entities:  

Year:  1995        PMID: 24169664     DOI: 10.1007/BF00220855

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


  11 in total

1.  Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

Authors:  C W Stuber; S E Lincoln; D W Wolff; T Helentjaris; E S Lander
Journal:  Genetics       Date:  1992-11       Impact factor: 4.562

2.  Estimating the locations and the sizes of the effects of quantitative trait loci using flanking markers.

Authors:  O Martínez; R N Curnow
Journal:  Theor Appl Genet       Date:  1992-12       Impact factor: 5.699

3.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
Journal:  Genetics       Date:  1989-01       Impact factor: 4.562

4.  Resolution of quantitative traits into Mendelian factors by using a complete linkage map of restriction fragment length polymorphisms.

Authors:  A H Paterson; E S Lander; J D Hewitt; S Peterson; S E Lincoln; S D Tanksley
Journal:  Nature       Date:  1988-10-20       Impact factor: 49.962

5.  Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

Authors:  A H Paterson; S Damon; J D Hewitt; D Zamir; H D Rabinowitch; S E Lincoln; E S Lander; S D Tanksley
Journal:  Genetics       Date:  1991-01       Impact factor: 4.562

6.  QTL analysis of transgressive segregation in an interspecific tomato cross.

Authors:  M C deVicente; S D Tanksley
Journal:  Genetics       Date:  1993-06       Impact factor: 4.562

7.  Quantitative trait locus effects and environmental interaction in a sample of North American barley germ plasm.

Authors:  P M Hayes; B H Liu; S J Knapp; F Chen; B Jones; T Blake; J Franckowiak; D Rasmusson; M Sorrells; S E Ullrich; D Wesenberg; A Kleinhofs
Journal:  Theor Appl Genet       Date:  1993-11       Impact factor: 5.699

8.  Controlling the type I and type II errors in mapping quantitative trait loci.

Authors:  R C Jansen
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

9.  A genetic and physiological analysis of late flowering mutants in Arabidopsis thaliana.

Authors:  M Koornneef; C J Hanhart; J H van der Veen
Journal:  Mol Gen Genet       Date:  1991-09

10.  Mapping FRI, a locus controlling flowering time and vernalization response in Arabidopsis thaliana.

Authors:  J H Clarke; C Dean
Journal:  Mol Gen Genet       Date:  1994-01
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  46 in total

1.  Quantitative trait locus analysis of growth-related traits in a new Arabidopsis recombinant inbred population.

Authors:  Mohamed E El-Lithy; Emile J M Clerkx; Gerda J Ruys; Maarten Koornneef; Dick Vreugdenhil
Journal:  Plant Physiol       Date:  2004-04-30       Impact factor: 8.340

2.  Multi-environment mapping and meta-analysis of 100-seed weight in soybean.

Authors:  Ya-Nan Sun; Jun-Bo Pan; Xiang-Lin Shi; Xiang-Yu Du; Qiong Wu; Zhao-Ming Qi; Hong-Wei Jiang; Da-Wei Xin; Chun-Yan Liu; Guo-Hua Hu; Qing-Shan Chen
Journal:  Mol Biol Rep       Date:  2012-06-28       Impact factor: 2.316

3.  Mapping environment-specific quantitative trait loci.

Authors:  Xin Chen; Fuping Zhao; Shizhong Xu
Journal:  Genetics       Date:  2010-08-30       Impact factor: 4.562

4.  Multi-environment QTL mapping in blackcurrant (Ribes nigrum L.) using mixed models.

Authors:  C A Hackett; J Russell; L Jorgensen; S L Gordon; R M Brennan
Journal:  Theor Appl Genet       Date:  2010-07-23       Impact factor: 5.699

5.  Using probe genotypes to dissect QTL × environment interactions for grain yield components in winter wheat.

Authors:  Bing Song Zheng; Jacques Le Gouis; Martine Leflon; Wen Ying Rong; Anne Laperche; Maryse Brancourt-Hulmel
Journal:  Theor Appl Genet       Date:  2010-08-10       Impact factor: 5.699

6.  Use of trial clustering to study QTL x environment effects for grain yield and related traits in maize.

Authors:  Laurence Moreau; Alain Charcosset; André Gallais
Journal:  Theor Appl Genet       Date:  2004-11-12       Impact factor: 5.699

7.  Methods for predicting superior genotypes under multiple environments based on QTL effects.

Authors:  Jian Yang; Jun Zhu
Journal:  Theor Appl Genet       Date:  2005-04-02       Impact factor: 5.699

8.  New Arabidopsis recombinant inbred line populations genotyped using SNPWave and their use for mapping flowering-time quantitative trait loci.

Authors:  Mohamed E el-Lithy; Leónie Bentsink; Corrie J Hanhart; Gerda J Ruys; Daniela Rovito; José L M Broekhof; Hein J A van der Poel; Michiel J T van Eijk; Dick Vreugdenhil; Maarten Koornneef
Journal:  Genetics       Date:  2005-12-15       Impact factor: 4.562

9.  Assessing the importance of genotype x environment interaction for root traits in rice using a mapping population II: conventional QTL analysis.

Authors:  K MacMillan; K Emrich; H-P Piepho; C E Mullins; A H Price
Journal:  Theor Appl Genet       Date:  2006-07-29       Impact factor: 5.699

10.  A comparative linkage map of oilseed rape and its use for QTL analysis of seed oil and erucic acid content.

Authors:  D Qiu; C Morgan; J Shi; Y Long; J Liu; R Li; X Zhuang; Y Wang; X Tan; E Dietrich; T Weihmann; C Everett; S Vanstraelen; P Beckett; F Fraser; M Trick; S Barnes; J Wilmer; R Schmidt; J Li; D Li; J Meng; I Bancroft
Journal:  Theor Appl Genet       Date:  2006-10-11       Impact factor: 5.699

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