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    基于SSR分子标记的紫椴遗传多样性分析和指纹图谱构建

    Genetic diversity analysis and fingerprint mapping construction of Tilia amurensis based on SSR molecular markers

    • 摘要:
      目的 紫椴是重要的经济树种和国家重点保护的濒危树种,基于SSR分子标记,分析不同种源紫椴遗传多样性,构建指纹图谱,旨在为紫椴居群的保护、全国紫椴种质资源的收集保存以及资源库建设提供参照。
      方法 从国内5个省11个市采集16个种源的173份紫椴样品,采用SSR分子标记进行PCR扩增,分析紫椴的遗传多样性;利用分子方差分析和种群聚类分析探究居群间的遗传分化;根据筛选的引物构建紫椴的指纹图谱。
      结果 (1)从12组引物中筛选出了8组表现出高度多态性和良好重复性的引物,这些引物总共识别出101个等位基因,平均每个多态性位点上分布有12.6个等位基因。多态信息含量在不同位点间的变动区间为0.506 ~ 0.897,平均值达到0.739。(2)仅需4对引物(C110、C840、D150、TC5)即可有效区分所有紫椴个体,并构建紫椴指纹图谱。(3)紫椴种源的遗传多样性较为丰富,有效等位基因数为4.937,Shannon’s信息指数达到1.777,Nei’s 基因多样性则为0.771。(4)分子方差分析结果表明,91%的遗传变异来源于紫椴群体内。(5)根据遗传距离构建进化树,将16个种源划分为5个亚类,多数地理距离较近的种源聚到一起,表现出较相近的遗传关系。
      结论 紫椴群体总体遗传多样性水平较高,遗传分化处于中等水平,群体内遗传变异占主导地位。16个居群中,吉林省汪清种源(JWQ3)、黑龙江种源(HDN7、HDN8、HDN9)和河北承德市种源(HCD15)遗传多样性水平低,应进行原地保护,重点持续关注;种群JWQ2、JWQ4、JHL5、HNA10、LDD12和LFX13等的遗传多样性水平较高,可重点收集资源和保存培育。研究结果为深入研究中国紫椴的居群分布、进化和保护提供科学依据。

       

      Abstract:
      Objective Tilia amurensis is an important economic tree species and a nationally protected endangered tree species. Based on SSR molecular markers, this study analyzed the genetic diversity of Tilia amurensis from different provenances and constructed DNA fingerprinting profiles, aiming to provide references for the conservation of Tilia amurensis populations, the nationwide collection and preservation of germplasm resources, and the establishment of germplasm resource banks.
      Method A total of 173 Tilia amurensis samples from 16 provenances across 11 cities in 5 provinces in China were collected. SSR molecular markers were used for PCR amplification to analyze the genetic diversity of Tilia amurensis. Molecular variance analysis (AMOVA) and population clustering analysis were employed to investigate genetic differentiation among populations. Specific primers were selected to construct DNA fingerprinting profiles for Tilia amurensis.
      Result (1) From 12 primer pairs, 8 highly polymorphic and reproducible primer pairs were selected, collectively identifying 101 alleles, with an average of 12.6 alleles per polymorphic locus. The polymorphism information content (PIC) across loci ranged from 0.506 to 0.897, with a mean value of 0.739. (2) Only 4 primer pairs (C110, C840, D150, TC5) were required to effectively distinguish all Tilia amurensis individuals and construct their DNA fingerprinting profiles. (3) The genetic diversity of Tilia amurensis provenances was relatively high, with an effective number of alleles (Ne) of 4.937, Shannon’s information index (I) of 1.777, and Nei’s gene diversity (H) of 0.771. (4) Molecular variance analysis (AMOVA) revealed that 91% of genetic variation originated from within-population differences. (5) A phylogenetic tree constructed based on genetic distances classified the 16 provenances into 5 subclusters, with geographically proximate provenances clustering together, indicating closer genetic relationship.
      Conclusion The Tilia amurensis populations exhibit a relatively high overall level of genetic diversity, with moderate genetic differentiation observed. Intra-population genetic variation is predominant. Among the 16 populations, the seed sources from Wangqing, Jilin Province (JWQ3), Heilongjiang Province of northeastern China (HDN7, HDN8, HDN9), and Chengde City, Hebei Province of northern China (HCD15) show low genetic diversity levels and should be prioritized for in situ conservation and continuous monitoring. Populations JWQ2, JWQ4, JHL5, HNA10, LDD12, and LFX13 demonstrate higher genetic diversity and could serve as key targets for resource collection and conservation cultivation. This study provides a scientific basis for further research on population distribution, evolutionary patterns, and conservation strategies of Tilia amurensis in China.

       

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