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Prediction of Cacao (Theobroma cacao) Resistance to Moniliophthora spp. Diseases via Genome-Wide Association Analysis and Genomic Selection

机译:可可(Theobroma cacao)对Moniliophthora spp的抗性预测。通过全基因组关联分析和基因组选择的疾病

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摘要

Cacao (Theobroma cacao) is a globally important crop, and its yield is severely restricted by disease. Two of the most damaging diseases, witches’ broom disease (WBD) and frosty pod rot disease (FPRD), are caused by a pair of related fungi: Moniliophthora perniciosa and Moniliophthora roreri, respectively. Resistant cultivars are the most effective long-term strategy to address Moniliophthora diseases, but efficiently generating resistant and productive new cultivars will require robust methods for screening germplasm before field testing. Marker-assisted selection (MAS) and genomic selection (GS) provide two potential avenues for predicting the performance of new genotypes, potentially increasing the selection gain per unit time. To test the effectiveness of these two approaches, we performed a genome-wide association study (GWAS) and GS on three related populations of cacao in Ecuador genotyped with a 15K single nucleotide polymorphism (SNP) microarray for three measures of WBD infection (vegetative broom, cushion broom, and chirimoya pod), one of FPRD (monilia pod) and two productivity traits (total fresh weight of pods and % healthy pods produced). GWAS yielded several SNPs associated with disease resistance in each population, but none were significantly correlated with the same trait in other populations. Genomic selection, using one population as a training set to estimate the phenotypes of the remaining two (composed of different families), varied among traits, from a mean prediction accuracy of 0.46 (vegetative broom) to 0.15 (monilia pod), and varied between training populations. Simulations demonstrated that selecting seedlings using GWAS markers alone generates no improvement over selecting at random, but that GS improves the selection process significantly. Our results suggest that the GWAS markers discovered here are not sufficiently predictive across diverse germplasm to be useful for MAS, but that using all markers in a GS framework holds substantial promise in accelerating disease-resistance in cacao.
机译:可可(Theobroma cacao)是全球重要的农作物,其产量受到疾病的严重限制。女巫的扫帚病(WBD)和霜冻荚膜腐烂病(FPRD)这两种最具破坏性的疾病分别是由一对相关真菌引起的:百日咳红孢菌(Moniliophthora perniciosa)和罗氏莫里氏菌(Moniliophthora roreri)。抗性品种是解决念珠菌病最有效的长期策略,但是要有效地产生抗性和高产新品种,将需要在田间试验之前采用可靠的方法筛选种质。标记辅助选择(MAS)和基因组选择(GS)提供了两个潜在途径来预测新基因型的性能,从而潜在地增加了单位时间的选择增益。为了测试这两种方法的有效性,我们对厄瓜多尔的三个相关可可种群进行了全基因组关联研究(GWAS)和GS,这些种群采用15K单核苷酸多态性(SNP)基因型进行了WBD感染(植物性扫帚)的三种测量,坐垫扫帚和Chirimoya豆荚),FPRD(独角兽豆荚)之一和两个生产力特征(豆荚的总新鲜重量和所产生的健康豆​​荚的百分比)。 GWAS在每个人群中产生了几种与疾病抗性相关的SNP,但在其他人群中没有一个与同一性状显着相关。基因组选择,使用一个种群作为训练集来估计其余两个种群(由不同家族组成)的表型,这些特征之间的性状有所不同,从0.46(植物性扫帚)的平均预测准确度到0.15(念珠菌荚)的平均预测准确度,并且在训练人口。模拟表明,仅使用GWAS标记选择幼苗不会比随机选择产生任何改善,但是GS显着改善了选择过程。我们的结果表明,在这里发现的GWAS标记不能在各种种质中充分预测到对MAS有用,但是在GS框架中使用所有标记在加速可可抗病性方面具有广阔的前景。

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