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    武文斌, 贺快快, 狄皓, 钮世辉, 马彦光, 张子杰, 李悦. 基于SSR标记的山西省油松山脉地理种群遗传结构与地理系统[J]. 北京林业大学学报, 2018, 40(10): 51-59. DOI: 10.13332/j.1000-1522.20180057
    引用本文: 武文斌, 贺快快, 狄皓, 钮世辉, 马彦光, 张子杰, 李悦. 基于SSR标记的山西省油松山脉地理种群遗传结构与地理系统[J]. 北京林业大学学报, 2018, 40(10): 51-59. DOI: 10.13332/j.1000-1522.20180057
    Wu Wenbin, He Kuaikuai, Di Hao, Niu Shihui, Ma Yanguang, Zhang Zijie, Li Yue. Genetic structure and geographic system of geographical population of Pinus tabuliformis mountain range based on SSR in Shanxi Province of northern China[J]. Journal of Beijing Forestry University, 2018, 40(10): 51-59. DOI: 10.13332/j.1000-1522.20180057
    Citation: Wu Wenbin, He Kuaikuai, Di Hao, Niu Shihui, Ma Yanguang, Zhang Zijie, Li Yue. Genetic structure and geographic system of geographical population of Pinus tabuliformis mountain range based on SSR in Shanxi Province of northern China[J]. Journal of Beijing Forestry University, 2018, 40(10): 51-59. DOI: 10.13332/j.1000-1522.20180057

    基于SSR标记的山西省油松山脉地理种群遗传结构与地理系统

    Genetic structure and geographic system of geographical population of Pinus tabuliformis mountain range based on SSR in Shanxi Province of northern China

    • 摘要:
      目的分析油松种源区的遗传结构能够为油松起源探索和引种地人工林种群溯源等提供理论依据。
      方法本文利用SSR分子标记分析了山西油松5个山脉地理种群的遗传结构和地理系统。试验方法分别用了8对多态性较高引物和4对卡方检测差异显著性引物进行分析。
      结果结果显示:关帝山遗传变异最丰富,中条山遗传变异最低;8对引物分析显示5个山脉地理种群分化较小(FST=0.0328),4对引物分析显示5个山脉种群存在中等程度分化(FST=0.0519);5个山脉种群遗传距离和地理距离存在显著相关性;遗传多样性参数与1月均温有负相关趋势,年均降水与1月均温比值和遗传多样性参数有正相关趋势。
      结论研究发现山西省主要山脉油松地理种群间有相对较小的遗传分化和种群内有丰富的遗传多样性;SSR标记可以有效显示各种群的遗传结构特点,而筛选得到的有限差异显著标记能更有效的用于油松的种群遗传分析;生境气象因子的水热相对水平对种群遗传多样性有主导影响,相对较高的水热比利于种群保持较高的遗传多样性。

       

      Abstract:
      ObjectiveAnalysis of genetic structure of Pinus tabuliformis provenance can provide a theoretical basis for the exploration of the origin and trace to the source of Pinus tabuliformis artificial forest.
      MethodIn this paper, SSR molecular markers were used to analyze the genetic structure and geographic system of the five Pinus tabuliformis populations in Shanxi Province of northern China. The test methods were analyzed with eight pairs of polymorphic primers and four differentially significant primers for chi-square detection.
      ResultGenetic variation in Guandi Mountain was the most abundant, and that in Zhongtiao Mountain was the lowest. Eight pairs of primer analysis showed that the differentiation of five mountains was smaller(FST=0.032 8)and four pairs of primers analysis showed that there was a moderate degree of differentiation in five mountain populations(FST=0.051 9). There was a significant correlation between the genetic distance and geographical distance of the five mountain populations; the genetic diversity parameters had a negative correlation trend with temperature in January. The ratio of annual mean precipitation and temperature in January had a positive correlation trend with genetic diversity parameters.
      ConclusionThe study reveals that there are relatively small genetic differentiation and rich genetic diversity among the geographical populations of Pinus tabuliformis in the main mountains of Shanxi Province. SSR markers can effectively display the genetic structure characteristics of various populations, and the limited difference marked markers can be more effectively applied to the population genetic analysis of Pinus tabuliformis. The relative level of water and heat of habitat meteorological factors has a dominant influence on the genetic diversity of population, and a relatively high ratio of water and heat is conducive to maintaining a higher genetic diversity of population.

       

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