Research Institute of Biology and Agriculture, Shunde Innovation School, School of Chemistry and Biological Engineering, University of Science and Technology Beijing, Beijing 100083, China.
Beijing Engineering Laboratory of Main Crop Bio-Tech Breeding, Beijing International Science and Technology Cooperation Base of Bio-Tech Breeding, Zhongzhi International Institute of Agricultural Biosciences, Beijing 100192, China.
Cells. 2023 Jul 21;12(14):1900. doi: 10.3390/cells12141900.
Maize ( L.) is one of the world's staple food crops. In order to feed the growing world population, improving maize yield is a top priority for breeding programs. Ear traits are important determinants of maize yield, and are mostly quantitatively inherited. To date, many studies relating to the genetic and molecular dissection of ear traits have been performed; therefore, we explored the genetic loci of the ear traits that were previously discovered in the genome-wide association study (GWAS) and quantitative trait locus (QTL) mapping studies, and refined 153 QTL and 85 quantitative trait nucleotide (QTN) clusters. Next, we shortlisted 19 common intervals (CIs) that can be detected simultaneously by both QTL mapping and GWAS, and 40 CIs that have pleiotropic effects on ear traits. Further, we predicted the best possible candidate genes from 71 QTL and 25 QTN clusters that could be valuable for maize yield improvement.
玉米(L.)是世界上的主要粮食作物之一。为了养活不断增长的世界人口,提高玉米产量是育种计划的首要任务。穗部特征是玉米产量的重要决定因素,且大多为数量性状遗传。迄今为止,已经进行了许多与穗部特征的遗传和分子解析相关的研究;因此,我们探索了在全基因组关联研究(GWAS)和数量性状位点(QTL)作图研究中先前发现的穗部特征的遗传位点,并对 153 个 QTL 和 85 个数量性状核苷酸(QTN)簇进行了精细化分析。接下来,我们筛选出了 19 个可以同时通过 QTL 作图和 GWAS 检测到的常见区间(CIs),以及 40 个对穗部特征具有多效性影响的 CIs。此外,我们从 71 个 QTL 和 25 个 QTN 簇中预测了可能对玉米产量提高有价值的最佳候选基因。