基于空间自相关分析研究毛红椿天然居群的空间遗传结构  被引量:29

Spatial Genetic Structure of Toona ciliata var.pubescens Populations in Terms of Spatial Autocorrelation Analysis

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作  者:刘军[1] 陈益泰[1] 孙宗修[2] 姜景民[1] 何贵平[1] 饶龙兵[1] 吴天林[1] 

机构地区:[1]中国林业科学研究院亚热带林业研究所,富阳311400 [2]中国水稻研究所水稻生物学国家重点实验室,杭州310006

出  处:《林业科学》2008年第6期45-52,共8页Scientia Silvae Sinicae

基  金:浙江省科技厅重大项目“速生丰产林良种的选育与应用示范”(2004C12022)

摘  要:利用8对微卫星标记对分布于我国的3个毛红椿天然居群的遗传结构进行研究。收集毛红椿3个天然居群209个单株材料并对每个单株的位置进行定位,运用空间自相关分析研究毛红椿居群的空间遗传结构,了解该物种的进化历程和濒危机制,并为制定有效的保护策略和措施提供科学依据。研究结果表明:1)居群等位基因的平均数为5.3,有效等位基因数平均为2.6;2)观察杂合度平均为0.5990,期望杂合度平均为0.5893;3)空间自相关分析结果揭示毛红椿宜丰天然居群在0~240m存在着显著的空间遗传结构;4)宾川和师宗居群内遗传变异在空间上为随机分布,不存在明显的空间遗传结构;5)导致居群内空间遗传结构形成的原因,包括花粉种子局限传播、微环境异质性和居群密度等。Population genetic structure with 209 individuals in three located natural populations of Toona ciliata var. pubescens was analyzed with 8 microsatellite markers. This study intended to find out species evolutionary history and endangered mechanism and offer scientific foundation for establishing efficient conservation strategies. The spatial genetic structure of T. ciliata var. pubescens was measured with spatial autocorrelation analysis. Spatial autocorrelation coefficient, which was used to reveal spatial structure of genetic variation, was calculated within the populations of Yifeng, Binchuan and Shizong. The results showed: 1) The average number and the effective number of alleles ( Ne ) were 5.3 and 2.6, respectively; 2) The average observed heterozygosity was 0.599 0, while the average expected heterozygosity was 0.589 3; 3) There was significant variation "in spatial genetic structure of natural population at Yifeng, indicated with significant positive autocorrelation over 0 - 240 m; 4) Genetic variance in populations of Binchuan and Shizong was distributed randomly; 5 ) Spatial genetic structure was mainly affected by limited dispersal of pollens and seeds, heterogeneity of microenvironment and density of population.

关 键 词:毛红椿 空间遗传结构 空间自相关分析 微卫星 

分 类 号:S718.46[农业科学—林学] S718.54

 

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