Genome-wide association study (GWAS) reveals genetic basis of ear-related traits in maize

生物 全基因组关联研究 最佳线性无偏预测 近交系 遗传学 数量性状位点 遗传关联 单核苷酸多态性 等位基因 关联映射 候选基因 基因 选择(遗传算法) 基因型 计算机科学 人工智能
作者
Lin Yang,Ting Li,Xiaokang Tian,Bingpeng Yang,Yonghui Lao,Yahui Wang,Xinghua Zhang,Jiquan Xue,Shutu Xu
出处
期刊:Euphytica [Springer Science+Business Media]
卷期号:216 (11) 被引量:11
标识
DOI:10.1007/s10681-020-02707-6
摘要

Maize ear-related traits are important components of grain yield that directly influence maize production. The genetic basis of ear-related traits is still not completely understood, which would be helpful in the improvement of grain yield. In this study, to dissect the genetic basis of ear diameter (ED), ear row number (ERN), and kernel number per row (KNR), a genome-wide association study of maize inbred lines was conducted using the phenotype of the three traits in two environments and the best linear unbiased prediction (BLUP) value. We detected 116 significant loci, i.e., 37, 42, and 37 related to ED, ERN, and KNR, respectively. Among these significant loci, 19 were co-localized when using the traits in two environments and BLUP value. The increase of superior allele number for the 19 co-localized loci was positively correlated with maize grain yield. Further, from the candidate regions of 116 significant loci, 558 genes expressed in maize cob and silk and participated in 71 biological pathways, such as RNA transport, protein export, biosynthesis of amino acids, and starch and sucrose metabolism. Of these candidate genes, some putative functional genes from the co-localized regions were predicted including ts6, pin4, Zm00001d038022, and Zm00001d041584, of which ts6 located in a known major QTL for ERN (named krn1). These results promote the understanding of the genetic basis for these three traits, which contributes to maize grain yield improvement by breeding.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
AAA完成签到,获得积分10
2秒前
3秒前
3秒前
呼呼爱学习完成签到,获得积分10
3秒前
4秒前
r41r32完成签到,获得积分10
4秒前
Perry发布了新的文献求助10
6秒前
6秒前
6秒前
高强发布了新的文献求助10
6秒前
8秒前
我是老大应助zhoushishan采纳,获得10
8秒前
瘦瘦寻菡发布了新的文献求助10
9秒前
9秒前
研友_08oErn发布了新的文献求助10
10秒前
11秒前
单纯的富发布了新的文献求助10
11秒前
热情嘉懿完成签到,获得积分10
11秒前
冉西发布了新的文献求助50
13秒前
恰你完成签到,获得积分10
13秒前
青青发布了新的文献求助20
14秒前
111发布了新的文献求助10
17秒前
科学家发布了新的文献求助10
18秒前
吸氧羊发布了新的文献求助10
18秒前
小蘑菇应助liyh采纳,获得10
18秒前
江月渡完成签到 ,获得积分10
18秒前
18秒前
20秒前
21秒前
CGM完成签到,获得积分10
21秒前
21秒前
时尚大白完成签到 ,获得积分10
22秒前
wang1030发布了新的文献求助10
23秒前
23秒前
23秒前
23秒前
情怀应助nihaoaaaa采纳,获得10
24秒前
12345完成签到,获得积分10
24秒前
XJH完成签到,获得积分10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Inorganic Chemistry Eighth Edition 1200
Free parameter models in liquid scintillation counting 1000
Anionic polymerization of acenaphthylene: identification of impurity species formed as by-products 1000
Standards for Molecular Testing for Red Cell, Platelet, and Neutrophil Antigens, 7th edition 1000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6312486
求助须知:如何正确求助?哪些是违规求助? 8129055
关于积分的说明 17034632
捐赠科研通 5369496
什么是DOI,文献DOI怎么找? 2850872
邀请新用户注册赠送积分活动 1828658
关于科研通互助平台的介绍 1680943