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Research Progress on Genetic Structure and Regulation Mechanism on Starch Content in Maize Kernel |
WANG Rui-pu1,2,DONG Zhen-ying1,2,GAO Yue-xin1,2,LONG Yan1,2,3,***(),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 is the crop with the largest planting area and the highest yield in the world. Starch accounts for about 70% of its grain weight, which is not only the main energy source for human beings and other animals, but also an important raw material for chemical industry. Assisted by the research on Arabidopsis thaliana, rice and other model plants, there have been accumulated a lot of information about the main biological processes of starch synthesis and functions of related gene in plants. Recently, many new starch content-related loci and candidate genes have been also further discovered through quantitative trait loci (QTL) mapping, genome-wide association study (GWAS) and omics-based methods in maize and other plants. However, summarization about such information is currently limited in maize. Here, the research progress of starch synthesis and regulation mechanisms in maize kernel were reviewed, and the QTLs and genes related to starch content in maize kernel were summarized and analyzed. The consistent physical map for starch content in maize kernel was further constructed, and the genetic hotspots were identified. The data will be useful for further deciphering the genetic basis of starch content in maize kernel and for molecular marker-assisted selection in maize breeding.
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Received: 01 November 2021
Published: 13 January 2022
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Corresponding Authors:
Yan LONG,Xiang-yuan WAN
E-mail: longyan@ustb.edu.cn;wanxiangyuan@ustb.edu.cn
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