Literature DB >> 20592258

The genetic architecture of grain yield and related traits in Zea maize L. revealed by comparing intermated and conventional populations.

Yung-Fen Huang1, Delphine Madur, Valérie Combes, Chin Long Ky, Denis Coubriche, Philippe Jamin, Sophie Jouanne, Fabrice Dumas, Ellen Bouty, Pascal Bertin, Alain Charcosset, Laurence Moreau.   

Abstract

Using advanced intermated populations has been proposed as a way to increase the accuracy of mapping experiments. An F(3) population of 300 lines and an advanced intermated F(3) population of 322 lines, both derived from the same parental maize inbred lines, were jointly evaluated for dry grain yield (DGY), grain moisture (GM), and silking date (SD). Genetic variance for dry grain yield was significantly lower in the intermated population compared to the F(3) population. The confidence interval around a QTL was on average 2.31 times smaller in the intermated population compared to the F(3) population. One controversy surrounding QTL mapping is whether QTL identified in fact represent single loci. This study identifies two distinct loci for dry grain yield in the intermated population in coupling phase, while the F(3) identifies only a single locus. Surprisingly, fewer QTL were detected in the intermated population than the F(3) (21 vs. 30) and <50% of the detected QTL were shared among the two populations. Cross-validation showed that selection bias was more important in the intermated population than in the F(3) and that each detected QTL explained a lower percentage of the variance. This finding supports the hypothesis that QTL detected in conventional populations correspond mainly to clusters of linked QTL. The actual number of QTL involved in the genetic architecture of complex traits may be substantially larger, with effect sizes substantially smaller than in conventional populations.

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Year:  2010        PMID: 20592258      PMCID: PMC2940303          DOI: 10.1534/genetics.110.113878

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  36 in total

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2.  Using advanced intercross lines for high-resolution mapping of HDL cholesterol quantitative trait loci.

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3.  On the determination of recombination rates in intermated recombinant inbred populations.

Authors:  Christopher R Winkler; Nicole M Jensen; Mark Cooper; Dean W Podlich; Oscar S Smith
Journal:  Genetics       Date:  2003-06       Impact factor: 4.562

4.  BioMercator: integrating genetic maps and QTL towards discovery of candidate genes.

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Journal:  Bioinformatics       Date:  2004-04-01       Impact factor: 6.937

5.  Connected populations for detecting quantitative trait loci and testing for epistasis: an application in maize.

Authors:  G Blanc; A Charcosset; B Mangin; A Gallais; L Moreau
Journal:  Theor Appl Genet       Date:  2006-05-20       Impact factor: 5.699

6.  Genetic dissection of intermated recombinant inbred lines using a new genetic map of maize.

Authors:  Yan Fu; Tsui-Jung Wen; Yefim I Ronin; Hsin D Chen; Ling Guo; David I Mester; Yongjie Yang; Michael Lee; Abraham B Korol; Daniel A Ashlock; Patrick S Schnable
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7.  Genome-wide high-resolution mapping by recurrent intermating using Arabidopsis thaliana as a model.

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8.  High resolution of quantitative traits into multiple loci via interval mapping.

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Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

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1.  Genome properties and prospects of genomic prediction of hybrid performance in a breeding program of maize.

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Journal:  Genetics       Date:  2014-05-21       Impact factor: 4.562

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3.  The QTN program and the alleles that matter for evolution: all that's gold does not glitter.

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5.  Combined linkage and linkage disequilibrium QTL mapping in multiple families of maize (Zea mays L.) line crosses highlights complementarities between models based on parental haplotype and single locus polymorphism.

Authors:  N Bardol; M Ventelon; B Mangin; S Jasson; V Loywick; F Couton; C Derue; P Blanchard; A Charcosset; Laurence Moreau
Journal:  Theor Appl Genet       Date:  2013-08-23       Impact factor: 5.699

6.  Identification of a candidate gene underlying qKRN5b for kernel row number in Zea mays L.

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Journal:  Theor Appl Genet       Date:  2019-10-14       Impact factor: 5.699

7.  The genetic basis of natural variation in seed size and seed number and their trade-off using Arabidopsis thaliana MAGIC lines.

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Journal:  Genetics       Date:  2014-10-13       Impact factor: 4.562

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9.  Genomic structural equation modelling provides a whole-system approach for the future crop breeding.

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Journal:  Theor Appl Genet       Date:  2021-05-31       Impact factor: 5.699

10.  Genetic architecture of complex agronomic traits examined in two testcross populations of rye (Secale cereale L.).

Authors:  Thomas Miedaner; Marlen Hübner; Viktor Korzun; Brigitta Schmiedchen; Eva Bauer; Grit Haseneyer; Peer Wilde; Jochen C Reif
Journal:  BMC Genomics       Date:  2012-12-17       Impact factor: 3.969

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