Literature DB >> 25271305

Linkage disequilibrium with linkage analysis of multiline crosses reveals different multiallelic QTL for hybrid performance in the flint and dent heterotic groups of maize.

Héloïse Giraud1, Christina Lehermeier2, Eva Bauer2, Matthieu Falque3, Vincent Segura4, Cyril Bauland3, Christian Camisan5, Laura Campo6, Nina Meyer7, Nicolas Ranc8, Wolfgang Schipprack9, Pascal Flament5, Albrecht E Melchinger9, Monica Menz8, Jesús Moreno-González6, Milena Ouzunova7, Alain Charcosset3, Chris-Carolin Schön2, Laurence Moreau10.   

Abstract

Multiparental designs combined with dense genotyping of parents have been proposed as a way to increase the diversity and resolution of quantitative trait loci (QTL) mapping studies, using methods combining linkage disequilibrium information with linkage analysis (LDLA). Two new nested association mapping designs adapted to European conditions were derived from the complementary dent and flint heterotic groups of maize (Zea mays L.). Ten biparental dent families (N = 841) and 11 biparental flint families (N = 811) were genotyped with 56,110 single nucleotide polymorphism markers and evaluated as test crosses with the central line of the reciprocal design for biomass yield, plant height, and precocity. Alleles at candidate QTL were defined as (i) parental alleles, (ii) haplotypic identity by descent, and (iii) single-marker groupings. Between five and 16 QTL were detected depending on the model, trait, and genetic group considered. In the flint design, a major QTL (R(2) = 27%) with pleiotropic effects was detected on chromosome 10, whereas other QTL displayed milder effects (R(2) < 10%). On average, the LDLA models detected more QTL but generally explained lower percentages of variance, consistent with the fact that most QTL display complex allelic series. Only 15% of the QTL were common to the two designs. A joint analysis of the two designs detected between 15 and 21 QTL for the five traits. Of these, between 27 for silking date and 41% for tasseling date were significant in both groups. Favorable allelic effects detected in both groups open perspectives for improving biomass production.
Copyright © 2014 by the Genetics Society of America.

Entities:  

Keywords:  MPP; Multiparent Advanced Generation Inter-Cross (MAGIC); QTL detection; allelic series; linkage disequilibrium information with linkage analysis (LDLA); maize biomass production; multiparental families; multiparental populations

Mesh:

Year:  2014        PMID: 25271305      PMCID: PMC4256782          DOI: 10.1534/genetics.114.169367

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


  51 in total

1.  Genome-wide association studies of 14 agronomic traits in rice landraces.

Authors:  Xuehui Huang; Xinghua Wei; Tao Sang; Qiang Zhao; Qi Feng; Yan Zhao; Canyang Li; Chuanrang Zhu; Tingting Lu; Zhiwu Zhang; Meng Li; Danlin Fan; Yunli Guo; Ahong Wang; Lu Wang; Liuwei Deng; Wenjun Li; Yiqi Lu; Qijun Weng; Kunyan Liu; Tao Huang; Taoying Zhou; Yufeng Jing; Wei Li; Zhang Lin; Edward S Buckler; Qian Qian; Qi-Fa Zhang; Jiayang Li; Bin Han
Journal:  Nat Genet       Date:  2010-10-24       Impact factor: 38.330

2.  Pervasive gene content variation and copy number variation in maize and its undomesticated progenitor.

Authors:  Ruth A Swanson-Wagner; Steven R Eichten; Sunita Kumari; Peter Tiffin; Joshua C Stein; Doreen Ware; Nathan M Springer
Journal:  Genome Res       Date:  2010-10-29       Impact factor: 9.043

3.  Haplotype-based linkage disequilibrium mapping via direct data mining.

Authors:  Jing Li; Tao Jiang
Journal:  Bioinformatics       Date:  2005-10-25       Impact factor: 6.937

4.  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

5.  Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize.

Authors:  Silvio Salvi; Giorgio Sponza; Michele Morgante; Dwight Tomes; Xiaomu Niu; Kevin A Fengler; Robert Meeley; Evgueni V Ananiev; Sergei Svitashev; Edward Bruggemann; Bailin Li; Christine F Hainey; Slobodanka Radovic; Giusi Zaina; J-Antoni Rafalski; Scott V Tingey; Guo-Hua Miao; Ronald L Phillips; Roberto Tuberosa
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-26       Impact factor: 11.205

6.  Comparison of biometrical approaches for QTL detection in multiple segregating families.

Authors:  Wenxin Liu; Jochen C Reif; Nicolas Ranc; Giovanni Della Porta; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2012-05-23       Impact factor: 5.699

7.  Key impact of Vgt1 on flowering time adaptation in maize: evidence from association mapping and ecogeographical information.

Authors:  Sébastien Ducrocq; Delphine Madur; Jean-Baptiste Veyrieras; Létizia Camus-Kulandaivelu; Monika Kloiber-Maitz; Thomas Presterl; Milena Ouzunova; Domenica Manicacci; Alain Charcosset
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

8.  Association mapping in an elite maize breeding population.

Authors:  Wenxin Liu; Manje Gowda; Jana Steinhoff; Hans Peter Maurer; Tobias Würschum; Carl Friedrich Horst Longin; Frédéric Cossic; Jochen Christoph Reif
Journal:  Theor Appl Genet       Date:  2011-06-17       Impact factor: 5.699

9.  QTLs for agronomic and cell wall traits in a maize RIL progeny derived from a cross between an old Minnesota13 line and a modern Iodent line.

Authors:  Yves Barrière; Valérie Méchin; Bruno Lefevre; Stéphane Maltese
Journal:  Theor Appl Genet       Date:  2012-03-22       Impact factor: 5.699

10.  A large maize (Zea mays L.) SNP genotyping array: development and germplasm genotyping, and genetic mapping to compare with the B73 reference genome.

Authors:  Martin W Ganal; Gregor Durstewitz; Andreas Polley; Aurélie Bérard; Edward S Buckler; Alain Charcosset; Joseph D Clarke; Eva-Maria Graner; Mark Hansen; Johann Joets; Marie-Christine Le Paslier; Michael D McMullen; Pierre Montalent; Mark Rose; Chris-Carolin Schön; Qi Sun; Hildrun Walter; Olivier C Martin; Matthieu Falque
Journal:  PLoS One       Date:  2011-12-08       Impact factor: 3.240

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  40 in total

1.  Choice of models for QTL mapping with multiple families and design of the training set for prediction of Fusarium resistance traits in maize.

Authors:  Sen Han; H Friedrich Utz; Wenxin Liu; Tobias A Schrag; Michael Stange; Tobias Würschum; Thomas Miedaner; Eva Bauer; Chris-Carolin Schön; Albrecht E Melchinger
Journal:  Theor Appl Genet       Date:  2015-12-10       Impact factor: 5.699

2.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios.

Authors:  Emilie J Millet; Claude Welcker; Willem Kruijer; Sandra Negro; Aude Coupel-Ledru; Stéphane D Nicolas; Jacques Laborde; Cyril Bauland; Sebastien Praud; Nicolas Ranc; Thomas Presterl; Roberto Tuberosa; Zoltan Bedo; Xavier Draye; Björn Usadel; Alain Charcosset; Fred Van Eeuwijk; François Tardieu
Journal:  Plant Physiol       Date:  2016-07-19       Impact factor: 8.340

Review 3.  MAGIC populations in crops: current status and future prospects.

Authors:  B Emma Huang; Klara L Verbyla; Arunas P Verbyla; Chitra Raghavan; Vikas K Singh; Pooran Gaur; Hei Leung; Rajeev K Varshney; Colin R Cavanagh
Journal:  Theor Appl Genet       Date:  2015-04-09       Impact factor: 5.699

4.  Construction of Genetic Linkage Maps in Multiparental Populations.

Authors:  Chaozhi Zheng; Martin P Boer; Fred A van Eeuwijk
Journal:  Genetics       Date:  2019-06-10       Impact factor: 4.562

5.  Genetic Gain Increases by Applying the Usefulness Criterion with Improved Variance Prediction in Selection of Crosses.

Authors:  Christina Lehermeier; Simon Teyssèdre; Chris-Carolin Schön
Journal:  Genetics       Date:  2017-10-16       Impact factor: 4.562

6.  Accounting for Group-Specific Allele Effects and Admixture in Genomic Predictions: Theory and Experimental Evaluation in Maize.

Authors:  Simon Rio; Laurence Moreau; Alain Charcosset; Tristan Mary-Huard
Journal:  Genetics       Date:  2020-07-17       Impact factor: 4.562

Review 7.  Genomic-based-breeding tools for tropical maize improvement.

Authors:  Thammineni Chakradhar; Vemuri Hindu; Palakolanu Sudhakar Reddy
Journal:  Genetica       Date:  2017-09-05       Impact factor: 1.082

8.  High-throughput SNP genotyping of modern and wild emmer wheat for yield and root morphology using a combined association and linkage analysis.

Authors:  Stuart J Lucas; Ayten Salantur; Selami Yazar; Hikmet Budak
Journal:  Funct Integr Genomics       Date:  2017-05-26       Impact factor: 3.410

9.  Multiple genetic loci affect place learning and memory performance in Drosophila melanogaster.

Authors:  Patricka A Williams-Simon; Christopher Posey; Samuel Mitchell; Enoch Ng'oma; James A Mrkvicka; Troy Zars; Elizabeth G King
Journal:  Genes Brain Behav       Date:  2019-05-31       Impact factor: 3.449

10.  Diversity analysis and genomic prediction of Sclerotinia resistance in sunflower using a new 25 K SNP genotyping array.

Authors:  Maren Livaja; Sandra Unterseer; Wiltrud Erath; Christina Lehermeier; Ralf Wieseke; Jörg Plieske; Andreas Polley; Hartmut Luerßen; Silke Wieckhorst; Martin Mascher; Volker Hahn; Milena Ouzunova; Chris-Carolin Schön; Martin W Ganal
Journal:  Theor Appl Genet       Date:  2015-11-04       Impact factor: 5.699

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