生物技术通报 ›› 2025, Vol. 41 ›› Issue (7): 81-94.doi: 10.13560/j.cnki.biotech.bull.1985.2025-0031

• 技术与方法 • 上一篇    下一篇

辣椒果实颜色性状与SSR分子标记的关联分析及指纹图谱构建

段敏杰(), 李怡斐, 王春萍, 黄任中, 黄启中, 张世才()   

  1. 重庆市农业科学院,重庆 401329
  • 收稿日期:2025-01-08 出版日期:2025-07-26 发布日期:2025-07-22
  • 通讯作者: 张世才,男,硕士,研究员,研究方向 :辣椒育种及病理;E-mail: shicaiz@126.com
  • 作者简介:段敏杰,男,硕士,助理研究员,研究方向 :加工辣椒遗传育种;E-mail: swemart@163.com
  • 基金资助:
    重庆市农业科学院市级财政科技创新类项目(KYLX20240500086);现代农业产业技术体系建设专项资助(CARS-24-A-04)

Association Analysis and Fingerprint Map Construction of Fruit Color Traits in Pepper via SSR Markers

DUAN Min-jie(), LI Yi-fei, WANG Chun-ping, HUANG Ren-zhong, HUANG Qi-zhong, ZHANG Shi-cai()   

  1. Chongqing Academy of Agricultural Sciences, Chongqing 401329
  • Received:2025-01-08 Published:2025-07-26 Online:2025-07-22

摘要:

目的 对辣椒种质材料进行遗传多样性分析,挖掘与果实颜色性状关联的分子标记。 方法 以57份辣椒种质为供试材料,利用7个果实颜色性状与20个SSR标记进行遗传多样性分析,使用Tassel 5.0软件的一般线性模型(GLM)和混合线性模型(MLM)进行SSR标记和性状的关联分析,并构建种质指纹图谱。 结果 7个果实颜色性状遗传多样性指数变幅为1.58(果皮L值)-2.08(果肉a值),变异系数变幅为9.07%-51.84%,果实色价与果皮和果肉的Lab值之间存在一定的相关性。20个SSR标记检测出107个多态性位点,平均每个标记5.1个;引物多态性信息含量(PIC)变幅为0.221-0.864,平均0.624;香农信息指数(I)和Nei’s遗传多样性指数(H)平均值分别为1.3和0.646;57份辣椒种质遗传相似性系数变幅为0.069-0.915 1,平均0.294。系统聚类将57份种质划分为2个亚族,亚族Ⅰ和亚族Ⅱ分别包含28和29份种质,群体结构分析将种质划分为2个亚群,亚群Ⅰ和亚群Ⅱ分别有33和24份种质,与聚类分析结果交叉重叠度较高。利用GLM和MLM两种模型共检测到与辣椒果实颜色性状相关的16个标记,表型解释率为6.6%-13.8%;标记SSR4与果实色价极显著关联(P<0.01),标记SSR6、SSR9和SSR17在2种模型中均被检测到与同一性状显著关联。利用9对核心引物构建了57份辣椒种质的指纹图谱。 结论 对57份辣椒果实色价和Lab值的遗传多样性和基于SSR标记的遗传多样性进行综合分析,并构建种质指纹图谱,为辣椒种质资源鉴定、优异种质筛选及分子辅助育种提供了一定的理论依据。

关键词: 辣椒, 果实颜色性状, SSR标记, 遗传多样性, 关联分析, 指纹图谱

Abstract:

Objective Genetic diversity of pepper germplasm materials was analyzed and molecular markers related to fruit color traits were further explored. Method The genetic relationship and diversity of 57 pepper germplasm materials was evaluated by 7 fruit color traits and 20 SSR markers. The generalized linear model (GLM) and mixed linear model (MLM) of Tassel 5.0 software were carried out to analyze the correlation between traits and SSR markers, which then were used for constructing the germplasm fingerprint maps. Result The range of genetic diversity index of the 7 fruit color traits was from 1.58 (peel-L) to 2.08 (pulp-a) and the range of coefficient of variation was 9.07%-51.84%. There was a certain correlation between E value and Lab values of peel and pulp. A total of 107 polymorphic loci were detected by 20 SSR markers, with an average of 5.1 loci per marker. Primer polymorphism information content (PIC) ranged from 0.221 to 0.864, with an average of 0.624. The average values of Shannon’s information index (I) and Nei’s genetic diversity index (H) were 1.3 and 0.646, respectively. The range of genetic similarity coefficient of the 57 pepper germplasms was from 0.069 to 0.915 1, with an average of 0.294. The 57 germplasms were divided into 2 subclusters by systematic clustering, with 28 and 29 germplasms contained in subcluster I and subcluster II, respectively. The population structure analysis showed that the germplasm was divided into 2 subgroups, with 33 and 24 germplasms in subgroup I and subgroup II, respectively, which had high overlap with the results of cluster analysis. A total of 16 markers related to pepper fruit color traits were detected using both GLM and MLM models, and the phenotypic explanation rate was from 6.6% to 13.8%. Marker SSR4 was extremely significantly associated with E value (P < 0.01). SSR6, SSR9 and SSR17 were detected to be significantly associated with the same trait in both models. The fingerprint maps of 57 pepper germplasms were constructed using 9 pairs of core primers. Conclusion This study comprehensively analyzes the genetic diversity of fruit E value and Lab value of 57 pepper germplasms and the genetic diversity based on SSR markers, and constructes the germplasm fingerprint maps, which may provide a certain theoretical basis for the identification of pepper germplasm resources, the screening of excellent germplasm and molecular-assisted breeding.

Key words: pepper, fruit color traits, SSR markers, genetic diversity, association analysis, fingerprint maps