Wang Shuhe, Gao Chaofan, Sun Qiuyu, Liu Qi, Wang Cuicui, Guo Fangfang, Ma Zhanhong
Department of Plant Protection, College of Horticulture and Plant Protection, Henan University of Science and Technology, Luoyang 471000, China.
Department of Plant Pathology, College of Plant Protection, China Agricultural University, Beijing 100193, China.
J Fungi (Basel). 2022 Jul 3;8(7):705. doi: 10.3390/jof8070705.
Stripe rust, caused by f. sp. (), is one of the most important fungal diseases affecting wheat ( L.) worldwide. In this study, the genetic diversity and population structure of isolates were analyzed using 15 microsatellite markers. Isolates were collected from five wheat cultivars with different levels of resistance from Yanting county and Fucheng district, Mianyang city, Sichuan province, China. The aim of this study was to investigate whether populations are differentiated by wheat genotype or geographic origin. Seventy-six multilocus genotypes (MLGs) were identified from all 289 single uredinial isolates. In general, the genotypic diversity of populations from five wheat cultivars in Fucheng was higher than that in Yanting. In addition, the genetic diversity was highest in the populations from Mianmai 367, a cultivar considered to be highly resistant. The unweighted pair group method with arithmetic mean (UPGMA) phylogenetic tree, Bayesian clustering analysis, and minimum spanning network for the MLGs revealed two major genetic clusters based on geographical location. Greater differentiation was observed between the populations from the two sampling locations than between the populations from different hosts in the same location. The results suggest that geographic and environmental differences could partially explain the genetic differentiation of more than wheat genotype. This study provides novel insight into the interactions between populations and their hosts. The results could be helpful in designing more effective management strategies for stripe rust in wheat production.
条锈病由小麦条锈菌(Puccinia striiformis f. sp. tritici)引起,是全球影响小麦(Triticum aestivum L.)的最重要真菌病害之一。在本研究中,利用15个微卫星标记分析了小麦条锈菌分离株的遗传多样性和群体结构。分离株采自中国四川省绵阳市盐亭县和涪城区具有不同抗性水平的5个小麦品种。本研究的目的是调查小麦条锈菌群体是否因小麦基因型或地理来源而分化。从所有289个单夏孢子堆分离株中鉴定出76个多位点基因型(MLGs)。总体而言,涪城区5个小麦品种的小麦条锈菌群体的基因型多样性高于盐亭县。此外,在被认为高抗的品种绵麦367的小麦条锈菌群体中,遗传多样性最高。基于算术平均数的非加权配对组方法(UPGMA)系统发育树、贝叶斯聚类分析以及MLGs的最小生成网络显示,基于地理位置存在两个主要遗传簇。两个采样地点的群体间的分化大于同一地点不同寄主的群体间的分化。结果表明,地理和环境差异可以部分解释小麦条锈菌群体的遗传分化,而不仅仅是小麦基因型的影响。本研究为小麦条锈菌群体与其寄主之间的相互作用提供了新的见解。这些结果可能有助于设计更有效的小麦条锈病防治策略。