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全基因组关联研究(GWAS)模型与基因组选择(GS)的整合揭示了玉米穗柄的遗传结构。

Integration of GWAS models and GS reveals the genetic architecture of ear shank in maize.

作者信息

Jiang Jiale, Ren Jiaojiao, Zeng Yukang, Xu Xiaoming, Lin Shaohang, Fan Zehui, Meng Yao, Ma Yirui, Li Xin, Wu Penghao

机构信息

College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China.

College of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China.

出版信息

Gene. 2025 Feb 20;938:149140. doi: 10.1016/j.gene.2024.149140. Epub 2024 Dec 5.

Abstract

Maize is one of the most important crops for human food, animal feed, and industrial raw materials. Ear shank length (ESL) and ear shank node number (ESNN) are crucial selection criteria in maize breeding, impacting grain yield and dehydration rate during mechanical harvesting. To unravel the genetic basis of ESL and ESNN in maize, an association panel consisting of 379 multi-parent doubled-haploid (DH) lines was developed for genome-wide association studies (GWAS) and genomic selection (GS). The heritabilities of ESL and ESNN were 0.68 and 0.55, respectively, which were controlled by genetic factors and genotype-environment interaction factors. Using five different models for GWAS, 11 significant single nucleotide polymorphisms (SNPs) located on chromosomes 1, 2, and 4 were identified for ESL, with the phenotypic variation explained (PVE) value of each single SNP ranging from 4.91% to 21.35%, and 11 significant SNPs located on chromosomes 1, 2, 4, and 5 were identified for ESNN, with the PVE value of each SNP ranging from 1.22% to 18.42%. Genetic regions in bins 1.06, 2.06, and 2.08 were significantly enriched in SNPs associated with ear shank-related traits. The GS prediction accuracy using all markers by the five-fold cross-validation method for ESL and ESNN was 0.39 and 0.37, respectively, which was significantly improved by using only 500-1000 significant SNPs with the lowest P-values. The optimal training population size (TPS) and marker density (MD) for ear shank-related traits were 50%-60% and 3000, respectively. Our results provide new insights into the GS of ear shank-related traits.

摘要

玉米是人类食物、动物饲料和工业原料最重要的作物之一。穗柄长度(ESL)和穗柄节数(ESNN)是玉米育种的关键选择标准,影响着机械收获期间的籽粒产量和脱水速率。为了揭示玉米ESL和ESNN的遗传基础,构建了一个由379个多亲本双单倍体(DH)系组成的关联群体,用于全基因组关联研究(GWAS)和基因组选择(GS)。ESL和ESNN的遗传力分别为0.68和0.55,受遗传因素和基因型-环境互作因素控制。使用五种不同的GWAS模型,在第1、2和4号染色体上鉴定出11个与ESL显著相关的单核苷酸多态性(SNP),每个单SNP的表型变异解释率(PVE)值在4.91%至21.35%之间;在第1、2、4和5号染色体上鉴定出11个与ESNN显著相关的SNP,每个SNP的PVE值在1.22%至18.42%之间。1.06、2.06和2.08染色体区域与穗柄相关性状的SNP显著富集。通过五倍交叉验证法,使用所有标记对ESL和ESNN进行GS预测的准确率分别为0.39和0.37,仅使用P值最低的500-1000个显著SNP可显著提高预测准确率。穗柄相关性状的最佳训练群体大小(TPS)和标记密度(MD)分别为50%-60%和3000。我们的研究结果为穗柄相关性状的GS提供了新的见解。

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