High‐resolution bulked segregant analysis enables candidate gene identification for bacterial wilt resistance in Italian ryegrass (Lolium multiflorum Lam.)

大块分离分析 生物 数量性状位点 黑麦草 人口 植物抗病性 基因组 青枯病 基因 候选基因 遗传学 植物 基因定位 禾本科 染色体 人口学 社会学
作者
Florian Goettelmann,Yutang Chen,Verena Knorst,Steven Yates,Dario Copetti,Bruno Studer,Roland Kölliker
出处
期刊:Plant Journal [Wiley]
卷期号:118 (5): 1516-1527 被引量:1
标识
DOI:10.1111/tpj.16693
摘要

SUMMARY Bacterial wilt, caused by Xanthomonas translucens pv. graminis ( Xtg ), is a serious disease of economically important forage grasses, including Italian ryegrass ( Lolium multiflorum Lam.). A major QTL for resistance to Xtg was previously identified, but the precise location as well as the genetic factors underlying the resistance are yet to be determined. To this end, we applied a bulked segregant analysis (BSA) approach, using whole‐genome deep sequencing of pools of the most resistant and most susceptible individuals of a large ( n = 7484) biparental F 2 population segregating for resistance to Xtg . Using chromosome‐level genome assemblies as references, we were able to define a ~300 kb region highly associated with resistance on pseudo‐chromosome 4. Further investigation of this region revealed multiple genes with a known role in disease resistance, including genes encoding for Pik2‐like disease resistance proteins, cysteine‐rich kinases, and RGA4‐ and RGA5‐like disease resistance proteins. Investigation of allele frequencies in the pools and comparative genome analysis in the grandparents of the F 2 population revealed that some of these genes contain variants with allele frequencies that correspond to the expected heterozygosity in the resistant grandparent. This study emphasizes the efficacy of combining BSA studies in very large populations with whole genome deep sequencing and high‐quality genome assemblies to pinpoint regions associated with a binary trait of interest and accurately define a small set of candidate genes. Furthermore, markers identified in this region hold significant potential for marker‐assisted breeding strategies to breed resistance to Xtg in Italian ryegrass cultivars more efficiently.

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
明亮的梦发布了新的文献求助10
1秒前
2秒前
田様应助fengmian采纳,获得10
2秒前
3秒前
yyd发布了新的文献求助10
3秒前
4秒前
雪白的听枫关注了科研通微信公众号
5秒前
传奇3应助两颗星采纳,获得10
6秒前
6秒前
一颗西柚发布了新的文献求助10
6秒前
无花果应助zzz_yue采纳,获得10
7秒前
7秒前
ctt发布了新的文献求助10
7秒前
8秒前
8秒前
xxxx发布了新的文献求助10
8秒前
8秒前
9秒前
9秒前
小马甲应助天际采纳,获得10
9秒前
supcond发布了新的文献求助10
10秒前
wx关闭了wx文献求助
10秒前
小蘑菇应助zouzh采纳,获得30
10秒前
11秒前
JZhX发布了新的文献求助10
13秒前
13秒前
科研小白发布了新的文献求助10
13秒前
bean发布了新的文献求助10
13秒前
13秒前
fengmian发布了新的文献求助10
14秒前
胡浩发布了新的文献求助10
14秒前
魈玖发布了新的文献求助10
16秒前
QW发布了新的文献求助10
17秒前
19秒前
周至发布了新的文献求助10
19秒前
xxxx完成签到,获得积分10
20秒前
魈玖完成签到,获得积分10
20秒前
22秒前
闪闪网络完成签到,获得积分10
23秒前
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
Geist der Kunst und Kultur 1000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7413959
求助须知:如何正确求助?哪些是违规求助? 9017486
关于积分的说明 19209380
捐赠科研通 7045621
什么是DOI,文献DOI怎么找? 3233961
关于科研通互助平台的介绍 2396061
邀请新用户注册赠送积分活动 2215973