Abstract：
Genetic diversity in Sclerotium rolfsii is useful for understanding its population structure, identifying different mycelial compatibility groups (MCGs), and developing targeted strategies for disease management in affected crops. In our study, a comprehensive genetic analysis was conducted on 50 isolates of S. rolfsii, collected from various geographic regions and host plants. Two specific genes, TEF1α and RPB2, were utilized to assess the genetic diversity and relationships among these isolates. Notably, out of 1225 pairings examined, only 154 exhibited a compatible reaction, while the majority displayed antagonistic reactions, resulting in the formation of a barrier zone. The isolates were grouped into 10 distinct MCGs. These MCGs were further characterized using genetic sequencing. TEF1α sequences distinguished the isolates into 17 distinct clusters, and RPB2 sequences classified them into 20 clusters. Some MCGs shared identical gene sequences within each gene, while others exhibited unique sequences. Intriguingly, when both TEF1α and RPB2 sequences were combined, all 10 MCGs were effectively differentiated, even those that appeared identical with single-gene analysis. This combined approach provided a comprehensive understanding of the genetic diversity and relationships among the S. rolfsii isolates, allowing for precise discrimination between different MCGs. The results shed light on the population structure and genetic variability within this plant pathogenic fungus, providing valuable insights for disease management and control strategies. This study highlights the significance of comprehending the varied virulence characteristics within S. rolfsii isolates, categorizing them into specific virulence groups based on disease severity index (DSI) values. The association with MCGs provides additional insights into the genetic underpinnings of virulence in this pathogen. Furthermore, the identification of geographical patterns in virulence implies the influence of region-specific factors, with potential implications for disease control and crop protection strategies.Please confirm if the author names are presented accurately and in the correct sequence (given name, middle name/initial, family name). Author 1 Given name: [G. M. Sandeep] Last name [Kumar]. Author 2 Given name: [Praveen Kumar] Last name [Singh]. Also, kindly confirm the details in the metadata are correct.I confirm that the given names are accurate and presented in the correct sequence.
摘要：
罗氏菌核的遗传多样性有助于了解其种群结构，鉴定不同的菌丝体相容性基团(MCGs)，并为受影响作物的病害管理制定有针对性的策略。在我们的研究中,对50株罗氏链球菌进行了全面的遗传分析，从不同的地理区域和寄主植物收集。两个特定的基因，TEF1α和RPB2用于评估这些分离株之间的遗传多样性和关系。值得注意的是,在检查的1225对中，只有154人表现出相容的反应，虽然大多数人表现出拮抗反应，形成了一个屏障区。将分离株分成10个不同的MCG。使用遗传测序进一步表征这些MCG。TEF1α序列将分离株分为17个不同的簇，和RPB2序列将它们分成20个簇。一些MCG在每个基因中共享相同的基因序列，而其他人则表现出独特的序列。有趣的是，当TEF1α和RPB2序列组合时，所有10个MCG均有效区分，甚至那些看起来与单基因分析相同的。这种组合方法提供了对S.rolfsii分离株之间的遗传多样性和关系的全面理解，允许不同MCG之间的精确区分。结果揭示了该植物病原真菌的种群结构和遗传变异，为疾病管理和控制策略提供有价值的见解。这项研究强调了理解S.rolfsii分离株中不同毒力特征的重要性，根据疾病严重程度指数（DSI）值将它们分为特定的毒力组。与MCGs的关联为该病原体中毒力的遗传基础提供了额外的见解。此外，毒力地理模式的识别意味着特定地区因素的影响，对疾病控制和作物保护策略有潜在影响。请确认作者姓名是否准确且顺序正确(给定姓名，中间名/首字母,Familyname).作者1名字：[G.M.桑迪普]姓[库马尔]。作者2名：[PraveenKumar]姓[Singh]。此外，请确认元数据中的详细信息是否正确。我确认给定的名称是准确的，并以正确的顺序呈现。
