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
王鸿博完成签到,获得积分10
刚刚
Danmo完成签到,获得积分10
刚刚
上官若男应助花满楼采纳,获得10
2秒前
阎听筠发布了新的文献求助10
2秒前
谦让的丹珍完成签到,获得积分10
3秒前
4秒前
5秒前
大椒完成签到 ,获得积分10
5秒前
eric完成签到,获得积分10
6秒前
阿金完成签到 ,获得积分10
6秒前
哭泣又柔发布了新的文献求助10
7秒前
梦溪完成签到,获得积分10
7秒前
8秒前
xxFu发布了新的文献求助10
9秒前
Hello应助科研通管家采纳,获得10
9秒前
思源应助科研通管家采纳,获得10
9秒前
NexusExplorer应助科研通管家采纳,获得10
9秒前
我是小汪应助科研通管家采纳,获得10
9秒前
十七是只灵珠完成签到,获得积分10
9秒前
12376应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
12376应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
12376应助科研通管家采纳,获得10
10秒前
不解释发布了新的文献求助30
10秒前
wanci应助科研通管家采纳,获得10
10秒前
酷波er应助科研通管家采纳,获得10
10秒前
机灵含莲发布了新的文献求助10
13秒前
小丹完成签到 ,获得积分10
14秒前
有有发布了新的文献求助10
16秒前
16秒前
kunyi发布了新的文献求助10
17秒前
粥粥完成签到,获得积分0
17秒前
欧阳小枫完成签到 ,获得积分10
18秒前
小马甲应助不解释采纳,获得10
19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
Developing Genetic Editing Tools for Lysobacter 2000
卤化钙钛矿人工突触的研究 2000
Моделирование процессов самоорганизации в кристаллообразующих системах 1000
History of U.S. Space Surveillance and Satellite Cataloging 1000
Signals, Systems, and Signal Processing 610
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
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 6516196
求助须知:如何正确求助?哪些是违规求助? 8309187
关于积分的说明 17760503
捐赠科研通 5618470
什么是DOI,文献DOI怎么找? 2925391
邀请新用户注册赠送积分活动 1902427
关于科研通互助平台的介绍 1763548