Literature DB >> 22801873

Detection of QTL for flowering time in multiple families of elite maize.

Jana Steinhoff1, Wenxin Liu, Jochen C Reif, Giovanni Della Porta, Nicolas Ranc, Tobias Würschum.   

Abstract

Flowering time is a fundamental quantitative trait in maize that has played a key role in the postdomestication process and the adaptation to a wide range of climatic conditions. Flowering time has been intensively studied and recent QTL mapping results based on diverse founders suggest that the genetic architecture underlying this trait is mainly based on numerous small-effect QTL. Here, we used a population of 684 progenies from five connected families to investigate the genetic architecture of flowering time in elite maize. We used a joint analysis and identified nine main effect QTL explaining approximately 50 % of the genotypic variation of the trait. The QTL effects were small compared with the observed phenotypic variation and showed strong differences between families. We detected no epistasis with the genetic background but four digenic epistatic interactions in a full 2-dimensional genome scan. Our results suggest that flowering time in elite maize is mainly controlled by main effect QTL with rather small effects but that epistasis may also contribute to the genetic architecture of the trait.

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Year:  2012        PMID: 22801873     DOI: 10.1007/s00122-012-1933-4

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


  36 in total

1.  Mapping epistatic quantitative trait loci with one-dimensional genome searches.

Authors:  J L Jannink; R Jansen
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

2.  Genomic regions controlling vernalization and photoperiod responses in oat.

Authors:  B. Holland; A. Portyanko; L. Hoffman; M. Lee
Journal:  Theor Appl Genet       Date:  2002-05-23       Impact factor: 5.699

3.  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

Review 4.  Mapping QTL for agronomic traits in breeding populations.

Authors:  Tobias Würschum
Journal:  Theor Appl Genet       Date:  2012-05-22       Impact factor: 5.699

5.  Maize adaptation to temperate climate: relationship between population structure and polymorphism in the Dwarf8 gene.

Authors:  Létizia Camus-Kulandaivelu; Jean-Baptiste Veyrieras; Delphine Madur; Valérie Combes; Marie Fourmann; Stéphanie Barraud; Pierre Dubreuil; Brigitte Gouesnard; Domenica Manicacci; Alain Charcosset
Journal:  Genetics       Date:  2006-01-16       Impact factor: 4.562

6.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

7.  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

8.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

9.  A genomic and expression compendium of the expanded PEBP gene family from maize.

Authors:  Olga N Danilevskaya; Xin Meng; Zhenglin Hou; Evgueni V Ananiev; Carl R Simmons
Journal:  Plant Physiol       Date:  2007-11-09       Impact factor: 8.340

10.  Genetic resolution and verification of quantitative trait loci for flowering and plant height with recombinant inbred lines of maize.

Authors:  D F Austin; M Lee
Journal:  Genome       Date:  1996-10       Impact factor: 2.166

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  24 in total

Review 1.  Mapping QTL for agronomic traits in breeding populations.

Authors:  Tobias Würschum
Journal:  Theor Appl Genet       Date:  2012-05-22       Impact factor: 5.699

2.  Multiple-line cross QTL mapping for biomass yield and plant height in triticale (× Triticosecale Wittmack).

Authors:  Katharina V Alheit; Lucas Busemeyer; Wenxin Liu; Hans Peter Maurer; Manje Gowda; Volker Hahn; Sigrid Weissmann; Arno Ruckelshausen; Jochen C Reif; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2013-10-31       Impact factor: 5.699

3.  Genetic control of plant height in European winter wheat cultivars.

Authors:  Tobias Würschum; Simon M Langer; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2015-02-17       Impact factor: 5.699

4.  Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

Authors:  Ying Liu; Liwei Wang; Chuanlong Sun; Zuxin Zhang; Yonglian Zheng; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2014-02-20       Impact factor: 5.699

5.  Genetic control of protein content and sedimentation volume in European winter wheat cultivars.

Authors:  Tobias Würschum; Willmar L Leiser; Ebrahim Kazman; C Friedrich H Longin
Journal:  Theor Appl Genet       Date:  2016-05-25       Impact factor: 5.699

6.  Joint-multiple family linkage analysis predicts within-family variation better than single-family analysis of the maize nested association mapping population.

Authors:  F Ogut; Y Bian; P J Bradbury; J B Holland
Journal:  Heredity (Edinb)       Date:  2015-01-14       Impact factor: 3.821

7.  Genetic Architecture of Ear Fasciation in Maize (Zea mays) under QTL Scrutiny.

Authors:  Pedro Mendes-Moreira; Mara L Alves; Zlatko Satovic; João Pacheco Dos Santos; João Nina Santos; João Cândido Souza; Silas E Pêgo; Arnel R Hallauer; Maria Carlota Vaz Patto
Journal:  PLoS One       Date:  2015-04-29       Impact factor: 3.240

8.  Adaptation of maize to temperate climates: mid-density genome-wide association genetics and diversity patterns reveal key genomic regions, with a major contribution of the Vgt2 (ZCN8) locus.

Authors:  Sophie Bouchet; Bertrand Servin; Pascal Bertin; Delphine Madur; Valérie Combes; Fabrice Dumas; Dominique Brunel; Jacques Laborde; Alain Charcosset; Stéphane Nicolas
Journal:  PLoS One       Date:  2013-08-30       Impact factor: 3.240

9.  Genetic mapping of QTL for the sizes of eight consecutive leaves below the tassel in maize (Zea mays L.).

Authors:  Cong Yang; Dengguo Tang; Jingtao Qu; Ling Zhang; Lei Zhang; Zhengjie Chen; Jian Liu
Journal:  Theor Appl Genet       Date:  2016-08-22       Impact factor: 5.699

10.  Genetic mapping of quantitative trait loci underlying flowering time in chrysanthemum (Chrysanthemum morifolium).

Authors:  Fei Zhang; Sumei Chen; Jiafu Jiang; Zhiyong Guan; Weimin Fang; Fadi Chen
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

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