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Progress on Genetic Analysis and Molecular Dissection on Maize Leaf Angle Traits |
QIN Wen-xuan1,2,LIU Xin1,2,LONG Yan1,2,3,DONG Zhen-ying1,2,**(),WAN Xiang-yuan1,2,3,**() |
1 Research Center of Biology and Agriculture, Shunde Graduate School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China 2 Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China 3 Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Beijing Solidwill Sci-Tech Co., Ltd., Beijing 100192, China |
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Abstract Maize yield is determined by the efficiency of plant capturing light energy and fixing CO2 into organic carbon compounds. Leaf angle (LA) is one of the important traits of plant architecture, and smaller leaf angle is beneficial to improving the photosynthetic efficiency, planting density, and ultimately the increase of the yield of maize. Previous studies have shown that LA of maize is a complex quantitative trait controlled by multiple genes with higher heritability and significant contribution of additive genetic effects. At present, hundreds of quantitative trait loci (QTLs) related to LA in maize have been identified by QTL mapping and genome-wide association study (GWAS). Combined with mutant analysis, dozens of key genes regulating LA have also been cloned, which provides an important clue for understanding the genetic mechanism of LA in maize. Previous studies have used different populations, analysis models and even reference genome versions for maize LA genetic analysis, the identified QTLs were quite different in those studies, which hampered the understanding of genetic structure of LA traits. Therefore, in this study, we summarized the mapped QTLs and associated single nucleotide polymorphisms (SNPs) related to LA and constructed a consistent map, and then identified the genetic hot spots of LA. Finally, the cloned functional genes regulating LA were analyzed and classified. Our work not only provides primary data for understanding the genetic structure of maize LA and promoting the cloning of the candidate genes, but also provides useful molecular markers for molecular marker-assisted breeding and maize yield improvement.
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Received: 31 October 2021
Published: 13 January 2022
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Corresponding Authors:
Zhen-ying DONG,Xiang-yuan WAN
E-mail: zydong@ustb.edu.cn;wanxiangyuan@ustb.edu.cn
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