Prasad Pramod, Thakur Rajni Kant, Savadi Siddanna, Bhardwaj Subhash Chander, Gangwar Om Prakash, Lata Charu, Adhikari Sneha, Kumar Subodh
ICAR-Indian Institute of Wheat and Barley Research, Regional Station, Shimla, India.
ICAR-Directorate of Cashew Research, Puttur, India.
Front Microbiol. 2022 Apr 13;13:842106. doi: 10.3389/fmicb.2022.842106. eCollection 2022.
Stem rust caused by f. sp. () is a devastating disease of wheat worldwide since time immemorial. Several wheat stem rust outbreaks have been reported worldwide including India. Approximately 7 mha wheat area in central and peninsular India is highly vulnerable to stem rust epidemics. In this study, a repository of 29 single genotype uredospore pathotypes, representing five geographical regions, was characterized by investigating their virulence phenotype and simple sequence repeat (SSR) genotypes using 37 reproducible polymorphic SSR markers, 32 of which had ≥ 0.50 polymorphic information content (PIC) value. Virulence phenotypes were used to evaluate the virulence frequency (VF) and construct a hypothetical evolutionary hierarchy of these pathotypes. We projected seven lineages to explain the evolutionary pattern of the population. The VF of these pathotypes ranged between 0% and 100%. The virulence-based neighbor-joining (NJ) cluster analysis grouped pathotypes into five virulence groups. Likewise, five molecular groups were categorized using molecular genotypes. The molecular grouping was supported by principal coordinate analysis (PCoA), which revealed 25% of the cumulative variance contributed by the first two axes. Analysis of molecular variance (AMOVA) revealed 8 and 92% of the variation among and within the populations, respectively. The Mantel test confirmed a positive but weak correlation ( = 0.15) between virulence phenotypes and SSR genotypes. The highest and lowest values of different genetic diversity parameters (Na, Ne, I, He, uHe, and %P) revealed maximum and minimum variability in the population from Maharashtra and Uttar Pradesh, respectively. The population structure analysis clustered 29 pathotypes into two subpopulations and an admixture. Our results demonstrated that there was significant genetic diversity among pathotypes resulting from their long-distance dispersal ability complemented by gene flow. These findings provide insights into the virulence patterns, genetic variations, and possible evolution of pathotypes, which would support strategic stem rust resistance breeding.
由禾柄锈菌小麦专化型(Puccinia graminis f. sp. tritici)引起的秆锈病自古以来就是全球小麦的一种毁灭性病害。全球已报道了多起小麦秆锈病爆发事件,包括印度。印度中部和半岛地区约700万公顷的小麦种植面积极易受到秆锈病流行的影响。在本研究中,通过使用37个可重复的多态性简单序列重复(SSR)标记来研究其毒力表型和SSR基因型,对代表五个地理区域的29个单基因型夏孢子致病型库进行了特征分析,其中32个标记的多态信息含量(PIC)值≥0.50。毒力表型用于评估毒力频率(VF)并构建这些致病型的假设进化层次结构。我们预测了七个谱系来解释该病原菌群体的进化模式。这些致病型的VF范围在0%至100%之间。基于毒力的邻接法(NJ)聚类分析将致病型分为五个毒力组。同样,使用分子基因型将其分为五个分子组。主坐标分析(PCoA)支持了分子分组,该分析显示前两个轴贡献了25%的累积方差。分子方差分析(AMOVA)分别揭示了群体间和群体内8%和92%的变异。Mantel检验证实了毒力表型与SSR基因型之间存在正相关但较弱的相关性(r = 0.15)。不同遗传多样性参数(Na、Ne、I、He、uHe和%P)的最高值和最低值分别显示了来自马哈拉施特拉邦和北方邦的病原菌群体具有最大和最小的变异性。群体结构分析将29个致病型聚类为两个亚群体和一个混合群体。我们的结果表明,由于其远距离传播能力以及基因流动的补充,致病型之间存在显著的遗传多样性。这些发现为致病型的毒力模式、遗传变异和可能的进化提供了见解,这将支持战略性的秆锈病抗性育种。