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Population Genomics analysis of Leptosphaeria biglobosa Associated with Brassica napus in China Reveals That Geographical Distribution Influences Its Genetic Polymorphism

文献类型: 外文期刊

作者: Shi, Yiji 1 ; Guo, Zhiting 2 ; Bao, Shunjun 2 ; Xu, Jiali 2 ; Li, Keqi 2 ; Rong, Songbai 1 ; Li, Qiangsheng 1 ; Xu, Aixia 2 ; Zhandui, Duojie 2 ; Huang, Zhen 2 ; Chu, Mingguang 1 ;

作者机构: 1.Anhui Acad Agr Sci, Crop Res Inst, Hefei 230001, Peoples R China

2.Northwest A&F Univ, State Key Lab Crop Stress Biol Arid Areas, Coll Agron, Xianyang 712100, Peoples R China

3.Anhui Prov Key Lab Crop Qual Improvement, Hefei 230000, Peoples R China

关键词: Leptosphaeria biglobosa; genome; genetic diversity; population structure

期刊名称:MICROORGANISMS ( 影响因子:4.1; 五年影响因子:4.5 )

ISSN:

年卷期: 2024 年 12 卷 7 期

页码:

收录情况: SCI

摘要: Blackleg disease, a major threat to Brassica crops worldwide, is primarily caused by the pathogen Leptosphaeria biglobosa. Investigating the genetic variation of L. biglobosa is crucial for managing and preventing the disease in Brassica napus. To date, there is scarce genomic variation information available for populations of L. biglobosa in China. In this study, 73 L. biglobosa strains of canola stalks were collected from 12 provinces in China and subjected to re-sequencing. The 73 assemblies averaged 1340 contigs, 72,123 bp N50, and 30.17 Mb in size. In total, 9409 core orthogroups and 867 accessory orthogroups were identified. A total of 727,724 mutation loci were identified, including 695,230 SNPs and 32,494 indels. Principal component analysis (PCA) and population structure analysis showed that these strains could be divided into seven subgroups. The strains in most provinces were clustered into a single subgroup, suggesting a strong influence of the geographic environment on strain variation. The average nucleotide diversity (theta pi) of all strains was 1.03 x 10(-3), indicating important genetic diversity among strains from different regions of China. This study provides valuable resources for future comparative genomics, gives new insights into the population evolution of L. biglobosa, and supports the development of strategies for managing blackleg disease in canola.

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