Literature DB >> 28215025

Analysis of the genetic architecture of maize ear and grain morphological traits by combined linkage and association mapping.

Chaoshu Zhang1,2, Zhiqiang Zhou2, Hongjun Yong2, Xiaochong Zhang1,2, Zhuanfang Hao2, Fangjun Zhang1,2, Mingshun Li2, Degui Zhang2, Xinhai Li2, Zhenhua Wang3, Jianfeng Weng4.   

Abstract

KEY MESSAGE: Using combined linkage and association mapping, 26 stable QTL and six stable SNPs were detected across multiple environments for eight ear and grain morphological traits in maize. One QTL, PKS2, might play an important role in maize yield improvement. In the present study, one bi-parental population and an association panel were used to identify quantitative trait loci (QTL) for eight ear and grain morphological traits. A total of 108 QTL related to these traits were detected across four environments using an ultra-high density bin map constructed using recombinant inbred lines (RILs) derived from a cross between Ye478 and Qi319, and 26 QTL were identified in more than two environments. Furthermore, 64 single nucleotide polymorphisms (SNPs) were found to be significantly associated with the eight ear and grain morphological traits (-log10(P) > 4) in an association panel of 240 maize inbred lines. Combining the two mapping populations, a total of 17 pleiotropic QTL/SNPs (pQTL/SNPs) were associated with various traits across multiple environments. PKS2, a stable locus influencing kernel shape identified on chromosome 2 in a genome-wide association study (GWAS), was within the QTL confidence interval defined by the RILs. The candidate region harbored a short 13-Kb LD block encompassing four SNPs (SYN11386, PHM14783.16, SYN11392, and SYN11378). In the association panel, 13 lines derived from the hybrid PI78599 possessed the same allele as Qi319 at the PHM14783.16 (GG) locus, with an average value of 0.21 for KS, significantly lower than that of the 34 lines derived from Ye478 that carried a different allele (0.25, P < 0.05). Therefore, further fine mapping of PKS2 will provide valuable information for understanding the genetic components of grain yield and improving molecular marker-assisted selection (MAS) in maize.

Entities:  

Mesh:

Year:  2017        PMID: 28215025     DOI: 10.1007/s00122-017-2867-7

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


  80 in total

1.  rgf1, a mutation reducing grain filling in maize through effects on basal endosperm and pedicel development.

Authors:  M Maitz; G Santandrea; Z Zhang; S Lal; L C Hannah; F Salamini; R D Thompson
Journal:  Plant J       Date:  2000-07       Impact factor: 6.417

Review 2.  Genetic association mapping and genome organization of maize.

Authors:  Jianming Yu; Edward S Buckler
Journal:  Curr Opin Biotechnol       Date:  2006-02-28       Impact factor: 9.740

3.  Deletion in a gene associated with grain size increased yields during rice domestication.

Authors:  Ayahiko Shomura; Takeshi Izawa; Kaworu Ebana; Takeshi Ebitani; Hiromi Kanegae; Saeko Konishi; Masahiro Yano
Journal:  Nat Genet       Date:  2008-07-06       Impact factor: 38.330

4.  Genetic composition of yield heterosis in an elite rice hybrid.

Authors:  Gang Zhou; Ying Chen; Wen Yao; Chengjun Zhang; Weibo Xie; Jinping Hua; Yongzhong Xing; Jinghua Xiao; Qifa Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-10       Impact factor: 11.205

5.  Population genomic and genome-wide association studies of agroclimatic traits in sorghum.

Authors:  Geoffrey P Morris; Punna Ramu; Santosh P Deshpande; C Thomas Hash; Trushar Shah; Hari D Upadhyaya; Oscar Riera-Lizarazu; Patrick J Brown; Charlotte B Acharya; Sharon E Mitchell; James Harriman; Jeffrey C Glaubitz; Edward S Buckler; Stephen Kresovich
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-24       Impact factor: 11.205

6.  OsSPL13 controls grain size in cultivated rice.

Authors:  Lizhen Si; Jiaying Chen; Xuehui Huang; Hao Gong; Jianghong Luo; Qingqing Hou; Taoying Zhou; Tingting Lu; Jingjie Zhu; Yingying Shangguan; Erwang Chen; Chengxiang Gong; Qiang Zhao; Yufeng Jing; Yan Zhao; Yan Li; Lingling Cui; Danlin Fan; Yiqi Lu; Qijun Weng; Yongchun Wang; Qilin Zhan; Kunyan Liu; Xinghua Wei; Kyungsook An; Gynheung An; Bin Han
Journal:  Nat Genet       Date:  2016-03-07       Impact factor: 38.330

7.  Validation of Dwarf8 polymorphisms associated with flowering time in elite European inbred lines of maize (Zea mays L.).

Authors:  Jeppe R Andersen; Tobias Schrag; Albrecht E Melchinger; Imad Zein; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2005-06-03       Impact factor: 5.699

8.  Mapping of QTL for resistance to the Mediterranean corn borer attack using the intermated B73 x Mo17 (IBM) population of maize.

Authors:  Bernardo Ordas; Rosa A Malvar; Rogelio Santiago; German Sandoya; Maria C Romay; Ana Butron
Journal:  Theor Appl Genet       Date:  2009-09-16       Impact factor: 5.699

9.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

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

View more
  22 in total

1.  Combined GWAS and QTL analysis for dissecting the genetic architecture of kernel test weight in maize.

Authors:  Xiaoxiang Zhang; Zhongrong Guan; Lei Wang; Jun Fu; Yinchao Zhang; Zhaoling Li; Langlang Ma; Peng Liu; Yanling Zhang; Min Liu; Peng Li; Chaoying Zou; Yongcong He; Haijian Lin; Guangsheng Yuan; Shibin Gao; Guangtang Pan; Yaou Shen
Journal:  Mol Genet Genomics       Date:  2019-12-05       Impact factor: 3.291

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

Authors:  Yinghong Liu; Qiang Yi; Xianbin Hou; Yufeng Hu; Yangping Li; Guowu Yu; Hanmei Liu; Junjie Zhang; Yubi Huang
Journal:  Mol Genet Genomics       Date:  2019-09-11       Impact factor: 3.291

3.  The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize.

Authors:  Xiaopeng Sun; Yanli Xiang; Nannan Dou; Hui Zhang; Surui Pei; Arcadio Valdes Franco; Mitra Menon; Brandon Monier; Taylor Ferebee; Tao Liu; Sanyang Liu; Yuchi Gao; Jubin Wang; William Terzaghi; Jianbing Yan; Sarah Hearne; Lin Li; Feng Li; Mingqiu Dai
Journal:  Nat Biotechnol       Date:  2022-10-13       Impact factor: 68.164

4.  Linkage mapping combined with GWAS revealed the genetic structural relationship and candidate genes of maize flowering time-related traits.

Authors:  Jian Shi; Yunhe Wang; Chuanhong Wang; Lei Wang; Wei Zeng; Guomin Han; Chunhong Qiu; Tengyue Wang; Zhen Tao; Kaiji Wang; Shijie Huang; Shuaishuai Yu; Wanyi Wang; Hongyi Chen; Chen Chen; Chen He; Hui Wang; Peiling Zhu; Yuanyuan Hu; Xin Zhang; Chuanxiao Xie; Xiaoduo Lu; Peijin Li
Journal:  BMC Plant Biol       Date:  2022-07-08       Impact factor: 5.260

5.  Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize.

Authors:  Zhibo Qu; Ying Wu; Die Hu; Ting Li; Hangyu Liang; Fan Ye; Jiquan Xue; Shutu Xu
Journal:  Front Plant Sci       Date:  2022-05-24       Impact factor: 6.627

6.  A combination of linkage mapping and GWAS brings new elements on the genetic basis of yield-related traits in maize across multiple environments.

Authors:  Xiaoxiang Zhang; Zhongrong Guan; Zhaoling Li; Peng Liu; Langlang Ma; Yinchao Zhang; Lang Pan; Shijiang He; Yanling Zhang; Peng Li; Fei Ge; Chaoying Zou; Yongcong He; Shibin Gao; Guangtang Pan; Yaou Shen
Journal:  Theor Appl Genet       Date:  2020-06-27       Impact factor: 5.699

7.  Candidate Loci for Yield-Related Traits in Maize Revealed by a Combination of MetaQTL Analysis and Regional Association Mapping.

Authors:  Lin Chen; Yixin An; Yong-Xiang Li; Chunhui Li; Yunsu Shi; Yanchun Song; Dengfeng Zhang; Tianyu Wang; Yu Li
Journal:  Front Plant Sci       Date:  2017-12-22       Impact factor: 5.753

8.  Dissecting the Genetic Basis Underlying Combining Ability of Plant Height Related Traits in Maize.

Authors:  Zhiqiang Zhou; Chaoshu Zhang; Xiaohuan Lu; Liwei Wang; Zhuanfang Hao; Mingshun Li; Degui Zhang; Hongjun Yong; Hanyong Zhu; Jianfeng Weng; Xinhai Li
Journal:  Front Plant Sci       Date:  2018-08-02       Impact factor: 5.753

9.  Identification of candidate tolerance genes to low-temperature during maize germination by GWAS and RNA-seqapproaches.

Authors:  Hong Zhang; Jiayue Zhang; Qingyu Xu; Dandan Wang; Hong Di; Jun Huang; Xiuwei Yang; Zhoufei Wang; Lin Zhang; Ling Dong; Zhenhua Wang; Yu Zhou
Journal:  BMC Plant Biol       Date:  2020-07-14       Impact factor: 4.215

10.  Genetic characterization of inbred lines from Shaan A and B groups for identifying loci associated with maize grain yield.

Authors:  Ting Li; Jianzhou Qu; Yahui Wang; Liguo Chang; Kunhui He; Dongwei Guo; Xinghua Zhang; Shutu Xu; Jiquan Xue
Journal:  BMC Genet       Date:  2018-08-23       Impact factor: 2.797

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.