姜黄属种质资源开花性状综合评价及SSR标记的关联分析

    Comprehensive Evaluation of Flowering Traits in Curcuma Germplasm Resources and Association Analysis of SSR Markers

    • 摘要:
      目的 对不同姜黄属(Curcuma)种质资源进行表型评价并开展关联分析,筛选出与开花性状显著相关的标记,为培育姜黄属优良新品种提供理论指导。
      方法 利用42对多态性强的SSR分子标记对71份姜黄属种质资源进行遗传多样性分析,并综合评价花葶高度、花葶粗度、花青素苷含量等16个表型性状,通过整合基因型和表型数据,筛选出与开花性状显著相关的分子标记。
      结果 2个描述型性状的香浓多样性指数分别为0.534和0.322,表现出较低多样性,14个数量性状的变异系数范围为0.26~10.13,呈连续分布的数量性状特征。16个性状间的相关系数范围为-0.89~0.80,大部分性状呈显著正相关。42对多态性SSR标记共扩增出620个多态性位点,平均每个标记14.76个。多态信息含量(PIC)分布在0.46~0.96、平均值为0.80,表明供试群体遗传多样性较丰富。群体结构和聚类分析结果基本一致,整个群体分为两个类群,体现了姜黄属植物不同种质之间的亲缘关系和特异性。最终筛选出15个SSR标记与11个表型性状呈显著关联,解释14.62%~25.93%的表型变异,尤其是CAL117与上苞片长度呈极显著关联关系,表型解释率最高。
      结论 研究鉴定出与姜黄属主要观赏性状显著关联的SSR分子标记,为姜黄属花卉的分子辅助育种选择提供新的标记,可为培育具有优良观赏特性的姜黄属新品种提供理论支撑。

       

      Abstract:
      Objective Phenotypic evaluation was performed on diverse Curcuma germplasm resources, followed by association analysis to identify markers significantly associated with flowering traits, thereby providing theoretical guidance for the breeding of superior new Curcuma varieties.
      Method Genetic diversity was analyzed in 71 Curcuma germplasm resources using 42 pairs of highly polymorphic SSR markers. Sixteen phenotypic traits (including scape height, cape thickness, anthocyanin content, etc.) were systematically evaluated. By integrating genotypic and phenotypic data, molecular markers significantly associated with flowering-related traits were identified.
      Result The Shannon diversity indices for the two descriptive traits are 0.534 and 0.322, respectively, indicating relatively low levels of diversity. The coefficient of variation for 14 quantitative traits ranges from 0.26 to 10.13, indicating the typical characteristics of continuously distributed quantitative traits. The correlation coefficients among the 16 traits ranged from -0.89 to 0.80, with most traits exhibiting significant positive correlations. 620 alleles (average14.76 alleles per locus) were discovered using 42 pairs of SSR markers, and the polymorphic information content (PIC) ranged from 0.46 to 0.96 with an average of 0.80, which indicated the high genetic diversity of tested Curcuma accessions. All the individuals were divided into two groups according to the results of structure and cluster analysis, suggesting their genetic relationships and specificities. Finally, 15 SSR markers were identified as significantly associated with 11 phenotypic traits, accounting for 14.62% to 25.93% of the phenotypic variation. Notably, CAL117 exhibited a highly significant association with the length of the upper bract, demonstrating the highest phenotypic explanation rate among all SSR markers.
      Conclusion This study has identified SSR markers that are significantly associated with the major ornamental traits of the genus Curcuma. These findings offer novel markers for molecular-assisted breeding selection in Curcuma flowers and provide theoretical support for the cultivation of new Curcuma varieties with superior ornamental characteristics.