FaRCg1: a quantitative trait locus conferring resistance to Colletotrichum crown rot caused by Colletotrichum gloeosporioides in octoploid strawberry

FaRCg1: a quantitative trait locus conferring resistance to Colletotrichum crown rot caused by Colletotrichum gloeosporioides in octoploid strawberry
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DOI:
10.1007/s00122-018-3145-z
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发表时间:
2018-10-01
影响因子:
5.4
通讯作者:
Lee, Seonghee
Lee, Seonghee
中科院分区:
农林科学1区
文献类型:
--
作者:
Anciro, Ashlee;Mangandi, Jozer;Lee, Seonghee

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炭疽菌冠腐病(Colletotrichum crown rot,CCR)是草莓(Fragaria xanassa)的一种重要病害,在美国东南部和世界各地的亚热带气候中,炎热和潮湿的条件促进病害的快速发展。然而,迄今为止还没有描述抗性位点,因为在异源二倍体(2n = 8x = 56)草莓中进行遗传研究一直是历史上困难的。在本研究中,我们调查了CCR抗性的遗传结构。从2013-2014年到2016-2017年,在四个不同的季节接种了来自佛罗里达大学的四组人群。两个大的,多亲本的发现群体集用于QTL的发现,两个验证集的品种和先进的选择代表的育种计划的父母池进行了评估。绘制了亚基因组特异性单核苷酸多态性(SNP)标记,并利用FlexQTL(TM)软件进行了基于谱系的贝叶斯QTL分析。连锁群6 B上的一个数量性状基因座,我们将其命名为FaRCg 1,占发现集中抗性遗传变异的大部分(2013-2014年为26.8-29.8%,2015-2016年为17%)。高通量标记分析被开发用于与QTL区域的模式相关的最显著的SNPs。FaRCg 1基因座的发现和表征以及由此开发的分子工具将用于实现抗性遗传增益的增加。
Colletotrichum crown rot (CCR) is an important disease of strawberry (Fragaria xananassa) throughout the Southeastern US and in subtropical climates around the world, where hot and humid conditions facilitate rapid disease development. Yet no resistance loci have been described to date, as genetic studies have been historically difficult in allo-octoploid (2n = 8x = 56) strawberry. In the present study, we investigate the genetic architecture of resistance to CCR. Four population sets from the University of Florida were inoculated in four different seasons from 2013-2014 to 2016-2017. Two large, multiparental discovery population sets were used for QTL discovery, and two validation sets of cultivars and advanced selections representing the parent pool of the breeding program were also assessed. Subgenome-specific single-nucleotide polymorphism (SNP) markers were mapped, and FlexQTL (TM) software was utilized to perform a Bayesian, pedigree-based QTL analysis. A quantitative trait locus on linkage group 6B, which we name FaRCg1, accounts for most of the genetic variation for resistance in the discovery sets (26.8-29.8% in 2013-2014 and 17% in 2015-2016). High-throughput marker assays were developed for the most significant SNPs which correlated with the mode of the QTL region. The discovery and characterization of the FaRCg1 locus and the molecular tools developed from it will be utilized to achieve increased genetic gains for resistance.