中国不同地理来源的紫苏种质资源遗传多样性与群体结构分析

    Genetic Diversity and Population Structure Analysis of Perilla frutescens Germplasm Resources from Different Geographical Origins in China

    • 摘要: 为系统解析我国紫苏种质资源的遗传多样性格局,选取来自12个省份、涵盖北方产区和南方代表产区的70份代表性种质资源,采用Hyper-seq简化基因组测序技术开展基因组水平扫描,系统分析70份紫苏的遗传多样性、群体结构与亲缘关系。结果表明:通过变异检测与注释,紫苏20条染色体上共鉴定到1 918 357个高质量单核苷酸多态性(SNP)位点和766 430个插入-缺失(InDel)标记,平均每条染色体检测到约95 918个SNP与38 322个InDel;变异主要分布于基因间区(69.16%),外显子区鉴定到237 564个变异位点。基于SNP多样性的邻接树、主成分分析(PCA)与ADMIXTURE分析一致表明,70份紫苏种质资源可划分为4个主要遗传亚群,分别为晋-蒙-辽内陆群(n=25)、辽东沿海及东部山地群(n=13)、黑龙江群(n=8)与华中—西南群(n=24),群体结构与地理来源高度相关。群体遗传多样性评估显示总体Nei's指数约为0.63,核苷酸多样性(Pi)在核心种质与保留种质间为0.39与0.34;观测杂合度(Ho)略低于预期杂合度(He),提示群体存在等位基因频率的结构性差异。基于Genocore筛选得到的18份核心种质可覆盖>90%的基因型变异。研究结果揭示了紫苏种质的区域分化与多样性格局,识别出辽东沿海及东部山地群和黑龙江群两个遗传亚群,并明确了云南紫苏的独特遗传地位,为不同地区紫苏的种质开发、分子标记辅助鉴定与资源利用提供了基因组学基础,对促进紫苏产业可持续发展和种质资源多样性保护具有重要意义。

       

      Abstract: Perilla frutescens(L.)Britt.is an economically and medicinally important species that is officially listed as both food and medicine in China. However, long-standing land-race admixture and poorly defined genetic backgrounds have severely hindered the mining and utilization of superior germplasm.Materials and MethodsTo systematically characterize the genetic-diversity landscape of Chinese perilla germplasm, 70 representative accessions collected from 12 provinces were analyzed. The panel covers the main northern production area(Liaoning, Heilongjiang, etc.; 56 accessions, 80.0%)and representative southern production sites(Yunnan, Anhui, Jiangxi, etc.; 14 accessions, 20.0%). Hyper-seq, a reduced-representation genome sequencing strategy, was applied for genome-wide scanning for the first time in perilla(Perilla frutescens(L.)Britt.). A total of 1,918,357 high-quality single nucleotide polymorphisms(SNPs)and 766,430 insertion-deletion(InDel)markers were identified in 20 chromosomes, with an average of approximately 95,918 SNPs and 38,322 InDels per chromosome. Variants were primarily distributed in intergenic regions(69.16%), with 237,564 variant sites identified in exonic regions. Consensus results from NJ tree, PCA, and ADMIXTURE analyses indicated that the 70 accessions could be divided into four major genetic subpopulations:the Shanxi-Inner Mongolia-Liaoning Inland Group(n=25),Liaodong Coastal and Eastern Mountain Group(n=13), the Heilongjiang Group(n=8), and the Central-Southwest China Group(n=24), with population structure highly correlated with eco-geographical origin. Overall Nei's genetic diversity index was approximately 0.63, with nucleotide diversity(Pi)values of 0.39 and 0.34 for core and retained germplasm, respectively. Observed heterozygosity(Ho)was slightly lower than expected heterozygosity(He), suggesting structural differentiation in allele frequencies. A core collection of 18 accessions screened by Genocore covered over 90% of the total genotypic variation. Our results reveal a clear regional differentiation and diversity pattern in Chinese perilla germplasm. Two novel genetic sub-groups—"Liaodong Coastal and Eastern Mountain Group" and "the Heilongjiang Group"—are reported here. The unique genetic status of Yunnan perilla is also highlighted. The generated genomic resources provide a solid foundation for germplasm development, molecular-marker-assisted identification and resource utilization of perilla in different eco-geographic regions, and will facilitate both sustainable industrial development and on-farm conservation of genetic diversity in perilla.

       

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