Literature DB >> 26420507

Genetic dissection of the maize kernel development process via conditional QTL mapping for three developing kernel-related traits in an immortalized F2 population.

Zhanhui Zhang1, Xiangyuan Wu1, Chaonan Shi1, Rongna Wang1, Shengfei Li1, Zhaohui Wang1, Zonghua Liu1, Yadong Xue1, Guiliang Tang2,3, Jihua Tang4.   

Abstract

Kernel development is an important dynamic trait that determines the final grain yield in maize. To dissect the genetic basis of maize kernel development process, a conditional quantitative trait locus (QTL) analysis was conducted using an immortalized F2 (IF2) population comprising 243 single crosses at two locations over 2 years. Volume (KV) and density (KD) of dried developing kernels, together with kernel weight (KW) at different developmental stages, were used to describe dynamic changes during kernel development. Phenotypic analysis revealed that final KW and KD were determined at DAP22 and KV at DAP29. Unconditional QTL mapping for KW, KV and KD uncovered 97 QTLs at different kernel development stages, of which qKW6b, qKW7a, qKW7b, qKW10b, qKW10c, qKV10a, qKV10b and qKV7 were identified under multiple kernel developmental stages and environments. Among the 26 QTLs detected by conditional QTL mapping, conqKW7a, conqKV7a, conqKV10a, conqKD2, conqKD7 and conqKD8a were conserved between the two mapping methodologies. Furthermore, most of these QTLs were consistent with QTLs and genes for kernel development/grain filling reported in previous studies. These QTLs probably contain major genes associated with the kernel development process, and can be used to improve grain yield and quality through marker-assisted selection.

Entities:  

Keywords:  Kernel density; Kernel development; Kernel volume; Kernel weight; Maize (Zea mays L.); QTL mapping

Mesh:

Year:  2015        PMID: 26420507     DOI: 10.1007/s00438-015-1121-8

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


  47 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-25       Impact factor: 11.205

3.  Genetic dissection of an elite rice hybrid revealed that heterozygotes are not always advantageous for performance.

Authors:  J P Hua; Y Z Xing; C G Xu; X L Sun; S B Yu; Qifa Zhang
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

4.  Dominance of Linked Factors as a Means of Accounting for Heterosis.

Authors:  D F Jones
Journal:  Genetics       Date:  1917-09       Impact factor: 4.562

5.  Control of rice grain-filling and yield by a gene with a potential signature of domestication.

Authors:  Ertao Wang; Jianjun Wang; Xudong Zhu; Wei Hao; Linyou Wang; Qun Li; Lixia Zhang; Wei He; Baorong Lu; Hongxuan Lin; Hong Ma; Guiquan Zhang; Zuhua He
Journal:  Nat Genet       Date:  2008-09-28       Impact factor: 38.330

6.  Changes in flux pattern of the central carbohydrate metabolism during kernel development in maize.

Authors:  Christian Ettenhuber; Gertraud Spielbauer; Lilla Margl; L Curtis Hannah; Alfons Gierl; Adelbert Bacher; Ulrich Genschel; Wolfgang Eisenreich
Journal:  Phytochemistry       Date:  2005-11-07       Impact factor: 4.072

7.  Time-related mapping of quantitative trait loci controlling grain-filling in rice (Oryza sativa L.).

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Journal:  J Exp Bot       Date:  2005-06-27       Impact factor: 6.992

8.  The Miniature1 Seed Locus of Maize Encodes a Cell Wall Invertase Required for Normal Development of Endosperm and Maternal Cells in the Pedicel.

Authors:  W. H. Cheng; E. W. Taliercio; P. S. Chourey
Journal:  Plant Cell       Date:  1996-06       Impact factor: 11.277

9.  Control of cell proliferation, endoreduplication, cell size, and cell death by the retinoblastoma-related pathway in maize endosperm.

Authors:  Paolo A Sabelli; Yan Liu; Ricardo A Dante; Lucina E Lizarraga; Hong N Nguyen; Sara W Brown; John P Klingler; Jingjuan Yu; Evan LaBrant; Tracy M Layton; Max Feldman; Brian A Larkins
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-22       Impact factor: 11.205

10.  The genetic architecture of maize (Zea mays L.) kernel weight determination.

Authors:  Santiago Alvarez Prado; César G López; M Lynn Senior; Lucas Borrás
Journal:  G3 (Bethesda)       Date:  2014-09-18       Impact factor: 3.154

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1.  Verification and fine mapping of qGW1.05, a major QTL for grain weight in maize (Zea mays L.).

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Journal:  Mol Genet Genomics       Date:  2017-04-12       Impact factor: 3.291

2.  Fine mapping and candidate gene analysis of qhkw5-3, a major QTL for kernel weight in maize.

Authors:  Wenliang Li; Qinghe Bai; Weimin Zhan; Chenyu Ma; Shunyou Wang; Yuanyuan Feng; Mengdi Zhang; Ying Zhu; Ming Cheng; Zhangying Xi
Journal:  Theor Appl Genet       Date:  2019-06-11       Impact factor: 5.699

3.  Identification of quantitative trait loci for kernel-related traits and the heterosis for these traits in maize (Zea mays L.).

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Journal:  Mol Genet Genomics       Date:  2019-09-11       Impact factor: 3.291

4.  Genetic and genomic analysis of the seed-filling process in maize based on a logistic model.

Authors:  Shuangyi Yin; Pengcheng Li; Yang Xu; Jun Liu; Tiantian Yang; Jie Wei; Shuhui Xu; Junjie Yu; Huimin Fang; Lin Xue; Derong Hao; Zefeng Yang; Chenwu Xu
Journal:  Heredity (Edinb)       Date:  2019-07-29       Impact factor: 3.821

5.  Chromosomes A07 and A05 associated with stable and major QTLs for pod weight and size in cultivated peanut (Arachis hypogaea L.).

Authors:  Huaiyong Luo; Jianbin Guo; Xiaoping Ren; Weigang Chen; Li Huang; Xiaojing Zhou; Yuning Chen; Nian Liu; Fei Xiong; Yong Lei; Boshou Liao; Huifang Jiang
Journal:  Theor Appl Genet       Date:  2017-10-20       Impact factor: 5.699

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