Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.
Department of Biostatistics, University of Florida, Gainesville, FL, 32611, USA.
BMC Plant Biol. 2022 Nov 18;22(1):537. doi: 10.1186/s12870-022-03913-1.
Maize (Zea Mays) is one of the world's most important crops. Hybrid maize lines resulted a major improvement in corn production in the previous and current centuries. Understanding the genetic mechanisms of the corn production associated traits greatly facilitate the development of superior hybrid varieties.
In this study, four ear traits associated with corn production of Nested Association Mapping (NAM) population were analyzed using a full genetic model, and further, optimal genotype combinations and total genetic effects of current best lines, superior lines, and superior hybrids were predicted for each of the traits at four different locations. The analysis identified 21-34 highly significant SNPs (-logP > 5), with an estimated total heritability of 37.31-62.34%, while large contributions to variations was due to dominance, dominance-related epistasis, and environmental interaction effects ([Formula: see text] 14.06% ~ 49.28%), indicating these factors contributed significantly to phenotypic variations of the ear traits. Environment-specific genetic effects were also discovered to be crucial for maize ear traits. There were four SNPs found for three ear traits: two for ear length and weight, and two for ear row number and length. Using the Enumeration method and the stepwise tuning technique, optimum multi-locus genotype combinations for superior lines were identified based on the information obtained from GWAS.
Predictions of genetic breeding values showed that different genotype combinations in different geographical regions may be better, and hybrid-line variety breeding with homozygote and heterozygote genotype combinations may have a greater potential to improve ear traits.
玉米(Zea Mays)是世界上最重要的作物之一。杂交玉米品种在上个世纪和本世纪极大地提高了玉米产量。了解与玉米产量相关的性状的遗传机制,极大地促进了优良杂交品种的开发。
本研究利用全遗传模型分析了 Nested Association Mapping(NAM)群体中与玉米产量相关的四个穗部性状,进一步预测了每个性状在四个不同地点的当前最佳品系、优良品系和优良杂交种的最优基因型组合和总遗传效应。分析鉴定出 21-34 个高度显著的 SNP(-logP>5),估计总遗传率为 37.31-62.34%,而变异的主要贡献来自于显性、显性相关上位性和环境互作效应([Formula: see text] 14.06%~49.28%),表明这些因素对穗部性状的表型变异有重要贡献。还发现环境特异性遗传效应对玉米穗部性状也很重要。有三个穗部性状发现了四个 SNP:两个穗长和穗重,两个穗行数和穗长。利用枚举法和逐步调优技术,根据 GWAS 获得的信息,确定了优良品系的最优多基因座基因型组合。
遗传育种值的预测表明,不同地理区域的不同基因型组合可能更好,纯合和杂合基因型组合的杂交品种选育可能具有更大的潜力来改善穗部性状。