Genetic Control of the Leaf Angle and Leaf Orientation Value as Revealed by Ultra-High Density Maps in Three Connected Maize Populations
Li, Chunhui1; Li, Yongxiang1; Shi, Yunsu1; Song, Yanchun1; Zhang, Dengfeng1; Buckler, Edward S.2; Zhang, Zhiwu2; Wang, Tianyu1; Li, Yu1
刊名PLOS ONE
2015
卷号10期号:3页码:-
ISSN号1932-6203
DOI10.1371/journal.pone.0121624
通讯作者Li, Chunhui
英文摘要Plant architecture is a key factor for high productivity maize because ideal plant architecture with an erect leaf angle and optimum leaf orientation value allow for more efficient light capture during photosynthesis and better wind circulation under dense planting conditions. To extend our understanding of the genetic mechanisms involved in leaf-related traits, three connected recombination inbred line (RIL) populations including 538 RILs were genotyped by genotyping-by-sequencing (GBS) method and phenotyped for the leaf angle and related traits in six environments. We conducted single population quantitative trait locus (QTL) mapping and joint linkage analysis based on high-density recombination bin maps constructed from GBS genotype data. A total of 45 QTLs with phenotypic effects ranging from 1.2% to 29.2% were detected for four leaf architecture traits by using joint linkage mapping across the three populations. All the QTLs identified for each trait could explain approximately 60% of the phenotypic variance. Four QTLs were located on small genomic regions where candidate genes were found. Genomic predictions from a genomic best linear unbiased prediction (GBLUP) model explained 45 +/- 9% to 68 +/- 8% of the variation in the remaining RILs for the four traits. These results extend our understanding of the genetics of leaf traits and can be used in genomic prediction to accelerate plant architecture improvement.
学科主题Multidisciplinary Sciences
语种英语
出版者PUBLIC LIBRARY SCIENCE
WOS记录号WOS:000351880000168
内容类型期刊论文
源URL[http://111.203.20.206/handle/2HMLN22E/4739]  
专题作物科学研究所_种质资源保存与研究中心
作者单位1.Chinese Acad Agr Sci, Inst Crop Sci, Beijing 100081, Peoples R China
2.Cornell Univ, Inst Genom Div, Ithaca, NY USA
推荐引用方式
GB/T 7714
Li, Chunhui,Li, Yongxiang,Shi, Yunsu,et al. Genetic Control of the Leaf Angle and Leaf Orientation Value as Revealed by Ultra-High Density Maps in Three Connected Maize Populations[J]. PLOS ONE,2015,10(3):-.
APA Li, Chunhui.,Li, Yongxiang.,Shi, Yunsu.,Song, Yanchun.,Zhang, Dengfeng.,...&Li, Yu.(2015).Genetic Control of the Leaf Angle and Leaf Orientation Value as Revealed by Ultra-High Density Maps in Three Connected Maize Populations.PLOS ONE,10(3),-.
MLA Li, Chunhui,et al."Genetic Control of the Leaf Angle and Leaf Orientation Value as Revealed by Ultra-High Density Maps in Three Connected Maize Populations".PLOS ONE 10.3(2015):-.
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