Diaz Lucy Milena, Arredondo Victoria, Ariza-Suarez Daniel, Aparicio Johan, Buendia Hector Fabio, Cajiao Cesar, Mosquera Gloria, Beebe Stephen E, Mukankusi Clare Mugisha, Raatz Bodo
Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Cali, Colombia.
Bean Program, Agrobiodiversity Area, International Center for Tropical Agriculture (CIAT), Kampala, Uganda.
Front Plant Sci. 2021 Mar 12;12:629221. doi: 10.3389/fpls.2021.629221. eCollection 2021.
Root rot in common bean is a disease that causes serious damage to grain production, particularly in the upland areas of Eastern and Central Africa where significant losses occur in susceptible bean varieties. spp. and spp. are among the soil pathogens causing the disease. In this study, a panel of 228 lines, named RR for root rot disease, was developed and evaluated in the greenhouse for and in a root rot naturally infected field trial for plant vigor, number of plants germinated, and seed weight. The results showed positive and significant correlations between greenhouse and field evaluations, as well as high heritability (0.71-0.94) of evaluated traits. In GWAS analysis no consistent significant marker trait associations for root rot disease traits were observed, indicating the absence of major resistance genes. However, genomic prediction accuracy was found to be high for , plant vigor and related traits. In addition, good predictions of field phenotypes were obtained using the greenhouse derived data as a training population and vice versa. Genomic predictions were evaluated across and within further published data sets on root rots in other panels. and evaluations carried out in Uganda on the Andean Diversity Panel showed good predictive ability for the root rot response in the RR panel. Genomic prediction is shown to be a promising method to estimate tolerance to and root rot related traits, indicating a quantitative resistance mechanism. Quantitative analyses could be applied to other disease-related traits to capture more genetic diversity with genetic models.
普通菜豆根腐病是一种对谷物生产造成严重损害的病害,尤其是在东非和中非的高地地区,易感菜豆品种会出现重大损失。 spp. 和 spp. 是引发该病害的土壤病原体。在本研究中,开发了一组228个品系,命名为RR根腐病品系,并在温室中对 进行评估,在根腐病自然感染的田间试验中评估植株活力、发芽植株数和种子重量。结果表明,温室评估和田间评估之间存在正相关且显著相关,以及评估性状的高遗传力(0.71 - 0.94)。在全基因组关联研究(GWAS)分析中,未观察到根腐病性状一致的显著标记 - 性状关联,表明不存在主要抗性基因。然而,发现 、植株活力和相关性状的基因组预测准确性很高。此外,使用温室衍生数据作为训练群体可以很好地预测田间表型,反之亦然。在其他品系上关于根腐病的进一步已发表数据集中,对基因组预测进行了跨数据集和数据集内的评估。在乌干达对安第斯多样性面板进行的 和 评估显示,对RR面板中的根腐病反应具有良好的预测能力。基因组预测被证明是一种估计对 和根腐病相关性状耐受性的有前景的方法,表明存在定量抗性机制。定量分析可应用于其他与疾病相关的性状,以通过遗传模型捕获更多遗传多样性。