Li Ting, Qu Jianzhou, Wang Yahui, Chang Liguo, He Kunhui, Guo Dongwei, Zhang Xinghua, Xu Shutu, Xue Jiquan
Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region, Ministry of Agriculture, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Maize Engineering Technology Research Centre of Shaanxi Province, Yangling, China.
BMC Genet. 2018 Aug 23;19(1):63. doi: 10.1186/s12863-018-0669-9.
Increasing grain yield is a primary objective of maize breeding. Dissecting the genetic architecture of grain yield furthers genetic improvements to increase yield. Presented here is an association panel composed of 126 maize inbreds (AM126), which were genotyped by the genotyping-by-sequencing (tGBS) method. We performed genetic characterization and association analysis related to grain yield in the association panel.
In total, 46,046 SNPs with a minor allele frequency (MAF) ≥0.01 were used to assess genetic diversity and kinship in AM126. The results showed that the average MAF and polymorphism information content (PIC) were 0.164 and 0.198, respectively. The Shaan B group, with 11,284 unique SNPs, exhibited greater genetic diversity than did the Shaan A group, with 2644 SNPs. The 61.82% kinship coefficient in AM126 was equal to 0, and only 0.15% of that percentage was greater than 0.7. A total of 31,983 SNPs with MAF ≥0.05 were used to characterize population structure, LD decay and association mapping. Population structure analysis suggested that AM126 can be divided into 6 subgroups, which is consistent with breeding experience and pedigree information. The LD decay distance in AM126 was 150 kb. A total of 51 significant SNPs associated with grain yield were identified at P < 1 × 10 across two environments (Yangling and Yulin). Among those SNPs, two loci displayed overlapping regions in the two environments. Finally, 30 candidate genes were found to be associated with grain yield.
These results contribute to the genetic characterization of this breeding population, which serves as a reference for hybrid breeding and population improvement, and demonstrate the genetic architecture of maize grain yield, potentially facilitating genetic improvement.
提高谷物产量是玉米育种的主要目标。剖析谷物产量的遗传结构有助于进一步开展遗传改良以提高产量。本文展示了一个由126个玉米自交系组成的关联群体(AM126),这些自交系通过简化基因组测序(tGBS)方法进行了基因分型。我们在该关联群体中进行了与谷物产量相关的遗传特征分析和关联分析。
总共46,046个次要等位基因频率(MAF)≥0.01的单核苷酸多态性(SNP)用于评估AM126中的遗传多样性和亲缘关系。结果表明,平均MAF和多态性信息含量(PIC)分别为0.164和0.198。拥有11,284个独特SNP的陕B组比拥有2,644个SNP的陕A组表现出更大的遗传多样性。AM126中61.82%的亲缘系数等于0,只有0.15%的该系数大于0.7。总共31,983个MAF≥0.05的SNP用于表征群体结构、连锁不平衡(LD)衰减和关联定位。群体结构分析表明,AM126可分为6个亚组,这与育种经验和系谱信息一致。AM126中的LD衰减距离为150 kb。在两个环境(杨凌和榆林)中,共鉴定出51个与谷物产量相关的显著SNP(P < 1×10)。在这些SNP中,两个位点在两个环境中显示出重叠区域。最后,发现30个候选基因与谷物产量相关。
这些结果有助于对该育种群体进行遗传特征分析,为杂交育种和群体改良提供参考,并展示了玉米谷物产量的遗传结构,可能有助于遗传改良。