Literature DB >> 18469947

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

D F Austin, M Lee.   

Abstract

Recombinant inbred (RI) lines offer several advantages for detecting quantitative trait loci (QTLs), including increased precision of trait measurements, power for detection of additive effects, and resolution of linked QTLs. This study was conducted to detect and characterize QTLs in maize for flowering and plant height and to compare QTL detection in an early (F2:3) generation of the same population. One hundred and eighty-six RIs from a cross between inbred lines Mo17 and H99 were evaluated in a replicated field experiment and analyzed at 101 loci detected by restriction fragment length polymorphisms. QTLs were identified by single-factor analysis of variance. A total of 59 QTLs were detected for plant height, ear height, top height, anthesis, silk emergence, and anthesis to silk interval. Individual QTLs explained 2.2-15.4% of trait variation, and multiple models including all QTLs detected for a trait explained up to 52.5% of the phenotypic variation. Comparison of QTLs detected with 150 F2:3 lines from the same population indicated that 16 (70%) of the 23 F2:3 QTLs were also observed in the F6:7 generation. Parental effects were consistent across generations. At 14 of the 16 QTLs detected in both generations, genetic effects were smaller in the F6:7. Also, some QTLs detected in the F2:3 were resolved into multiple linked QTLs in the F6:7, indicating the additional power of RI populations for mapping, with important implications for marker-assisted selection as well as map-based cloning of QTLs. Key words : Zea mays, RFLP, plant breeding, genetics, recombination.

Entities:  

Year:  1996        PMID: 18469947     DOI: 10.1139/g96-120

Source DB:  PubMed          Journal:  Genome        ISSN: 0831-2796            Impact factor:   2.166


  22 in total

1.  A maize map standard with sequenced core markers, grass genome reference points and 932 expressed sequence tagged sites (ESTs) in a 1736-locus map.

Authors:  G L Davis; M D McMullen; C Baysdorfer; T Musket; D Grant; M Staebell; G Xu; M Polacco; L Koster; S Melia-Hancock; K Houchins; S Chao; E H Coe
Journal:  Genetics       Date:  1999-07       Impact factor: 4.562

2.  Genetic architecture of flowering time in maize as inferred from quantitative trait loci meta-analysis and synteny conservation with the rice genome.

Authors:  Fabien Chardon; Bérangère Virlon; Laurence Moreau; Matthieu Falque; Johann Joets; Laurent Decousset; Alain Murigneux; Alain Charcosset
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

3.  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

4.  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

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

Authors:  Jana Steinhoff; Wenxin Liu; Jochen C Reif; Giovanni Della Porta; Nicolas Ranc; Tobias Würschum
Journal:  Theor Appl Genet       Date:  2012-07-17       Impact factor: 5.699

6.  Toward integration of comparative genetic, physical, diversity, and cytomolecular maps for grasses and grains, using the sorghum genome as a foundation.

Authors:  X Draye; Y R Lin; X Y Qian; J E Bowers; G B Burow; P L Morrell; D G Peterson; G G Presting; S X Ren; R A Wing; A H Paterson
Journal:  Plant Physiol       Date:  2001-03       Impact factor: 8.340

7.  Genetic dissection of maize seedling traits in an IBM Syn10 DH population under the combined stress of lead and cadmium.

Authors:  Fengxia Hou; Xun Zhou; Peng Liu; Guangsheng Yuan; Chaoying Zou; Thomas Lübberstedt; Guangtang Pan; Langlang Ma; Yaou Shen
Journal:  Mol Genet Genomics       Date:  2021-06-11       Impact factor: 3.291

8.  Identification of bioconversion quantitative trait loci in the interspecific cross Sorghum bicolor × Sorghum propinquum.

Authors:  Joshua P Vandenbrink; Valorie Goff; Huizhe Jin; Wenqian Kong; Andrew H Paterson; F Alex Feltus
Journal:  Theor Appl Genet       Date:  2013-07-09       Impact factor: 5.699

9.  Influence of dent corn genetic backgrounds on QTL detection for plant-height traits and their relationships in high-oil maize.

Authors:  M Wei; J Fu; X Li; Y Wang; Y Li
Journal:  J Appl Genet       Date:  2009       Impact factor: 3.240

10.  Detailed analysis of a contiguous 22-Mb region of the maize genome.

Authors:  Fusheng Wei; Joshua C Stein; Chengzhi Liang; Jianwei Zhang; Robert S Fulton; Regina S Baucom; Emanuele De Paoli; Shiguo Zhou; Lixing Yang; Yujun Han; Shiran Pasternak; Apurva Narechania; Lifang Zhang; Cheng-Ting Yeh; Kai Ying; Dawn H Nagel; Kristi Collura; David Kudrna; Jennifer Currie; Jinke Lin; Hyeran Kim; Angelina Angelova; Gabriel Scara; Marina Wissotski; Wolfgang Golser; Laura Courtney; Scott Kruchowski; Tina A Graves; Susan M Rock; Stephanie Adams; Lucinda A Fulton; Catrina Fronick; William Courtney; Melissa Kramer; Lori Spiegel; Lydia Nascimento; Ananth Kalyanaraman; Cristian Chaparro; Jean-Marc Deragon; Phillip San Miguel; Ning Jiang; Susan R Wessler; Pamela J Green; Yeisoo Yu; David C Schwartz; Blake C Meyers; Jeffrey L Bennetzen; Robert A Martienssen; W Richard McCombie; Srinivas Aluru; Sandra W Clifton; Patrick S Schnable; Doreen Ware; Richard K Wilson; Rod A Wing
Journal:  PLoS Genet       Date:  2009-11-20       Impact factor: 5.917

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