Schreuder Huibrecht Maria, Coetzee Beatrix, van Coller Gerhardus Johannes, Mostert Diane
Department of Plant Pathology, Faculty of AgriSciences, Stellenbosch University, Stellenbosch, 7602, South Africa.
School for Data Science and Computational Thinking, Stellenbosch University, Stellenbosch, 7602, South Africa.
BMC Genomics. 2025 Apr 3;26(1):334. doi: 10.1186/s12864-025-11413-3.
Leptosphaeria maculans is the causal agent of blackleg, a globally important disease of canola. Investigating the genetic diversity and structure of L. maculans populations can provide insight into its evolutionary potential and genetic variability, which is important to develop effective blackleg management strategies. In this study, whole genome sequence data was generated for 230 L. maculans isolates collected between 2020 and 2022 across the canola production regions of the Western Cape of South Africa. A total of 27 419 informative single nucleotide polymorphisms was used to investigate the genetic diversity and structure of the pathogen population.
Mating type distribution did not deviate statistically from a 1:1 ratio at any location, indicating no restriction on sexual reproduction. Genetic statistics calculated showed high genotypic diversity and evenness (Lambda and E.5 ≥ 0.98) and low linkage disequilibrium ( ≤ 2.71E-04) which is also associated with sexual reproduction. Discriminative analysis of principal components and sparse nonnegative matrix factorisation revealed genetic differentiation between the Swartland and Southern Cape canola production regions in the Western Cape. Analysis of molecular variance also indicated regions as the most important factor for population differentiation but suggested shallow population structure with only 3,71% of the total variation occurring between regions. To assess the phylogenomic position of South African isolates in the global context, data for 171 international isolates was included, and the clustering analyses repeated. Results showed a high similarity between Australian and Swartland isolates, while isolates from the Southern Cape formed a unique genetic cluster.
The results from this study provide the basis for blackleg research in South Africa and enhances understanding of the pathogen, which will assist in developing improved blackleg management strategies.
黄斑小球腔菌是油菜黑胫病的致病因子,油菜黑胫病是一种在全球范围内对油菜具有重要影响的病害。研究黄斑小球腔菌种群的遗传多样性和结构,有助于深入了解其进化潜力和遗传变异性,这对于制定有效的黑胫病管理策略至关重要。在本研究中,我们对2020年至2022年间在南非西开普省油菜产区收集的230株黄斑小球腔菌分离株进行了全基因组测序。共使用了27419个信息性单核苷酸多态性来研究病原菌种群的遗传多样性和结构。
在任何地点,交配型分布在统计学上均未偏离1:1的比例,这表明有性繁殖没有受到限制。计算得到的遗传统计数据显示出高基因型多样性和均匀度(λ和E.5≥0.98)以及低连锁不平衡(≤2.71E-04),这也与有性繁殖相关。主成分判别分析和稀疏非负矩阵分解揭示了西开普省斯瓦特兰和南角油菜产区之间的遗传分化。分子方差分析也表明区域是种群分化的最重要因素,但显示出种群结构较浅,区域间仅发生了3.71%的总变异。为了在全球背景下评估南非分离株的系统发育位置,纳入了171个国际分离株的数据,并重复进行聚类分析。结果显示澳大利亚和斯瓦特兰分离株之间具有高度相似性,而南角的分离株形成了一个独特的遗传簇。
本研究结果为南非黑胫病研究提供了基础,并增进了对该病原菌的了解,这将有助于制定改进的黑胫病管理策略。