油松天然次生林居群遗传多样性及与产地地理气候因子的关联分析
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河北农业大学生命科学学院,河北农业大学生命科学学院,河北农业大学林学院

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河北省自然科学基金项目(C2008000231)


Analysis of genetic diversity of chinese pine (Pinus tabulaeformis) natural secondary forest populations and correlation with theirs habitat ecological factors
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College of life sciences,Agricultural university of Hebei.,,Hebei north university;Agricultural university of Hebei

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    摘要:

    利用ISSR分子标记技术,分析了中国北部地区10个油松天然次生林居群的遗传多样性,以及与地理环境因子的相关性。研究结果表明:13条ISSR引物对250个个体扩增出137条谱带,平均多态位点百分率60.72%,不同居群的多态位点百分率差异明显;不同地理居群间的期望杂合度指数在0.2824-0.3702之间,平均为0.3210;Shannon多样性指数范围为0.1923-0.2490,平均为 0.2165。居群间的遗传变异占居群总的遗传多样性的37.53%。经Mantel检验,居群间的地理距离和遗传距离间不存在显著相关性(r=0.069,P=0.360)。聚类分析(UPGMA)表明,河南宝天曼(BTM)、承德大窝铺(DWP)、宁夏苏峪口(SYK)和甘肃冶力关(YLG)居群聚为一组,辽宁医巫闾山(YWL)、山西沁源灵空山(LKS)、陕西蔡家川林场(CJC)、山西和顺云龙公园(YLGY)和山西汶水三道川林场(SDC)居群为一组,山东蒙山(MS)居群独立为一组。经分析发现,分布于我国地势二级、三级阶梯分界线区域的油松天然林(YWL、BTM、YLGY)遗传多样性水平高,位于分布区东西临界点居群(MS、YLG)遗传多样性水平低。经相关性分析,温度相关因子(年均温、1月均温、极端最低温) 、海拔及年降雨量显著影响遗传多样性水平。油松天然居群分子变异存在一定的地理变异规律。

    Abstract:

    The genetic diversity of 10 Pinus tabulaeformis natural secondary forest populations in northern China and the correlation with environmental factors were analyzed by using ISSR molecular marker techniques. 250 individuals were amplified 137 bands by using 13 ISSR primers. The average percentage of polymorphic loci is 60.72%, and there is significant difference between different populations with the highest value in BTM group (71.53%) and the lowest value in YLG group (51.09%). Expected heterozygosity index and Shannon's information index(I) individually range from 0.2824-0.3702 and 0.1923-0.2490 respectively between different geographic populations, and their average values are 0.3210 and 0.2165 respectively. The genetic variety between different populations are 37.53% of total genetic diversity. Among 10 P. tabulaeformis natural populations, genetic distances range from 0.083 (LKS to CJC) to 0.2939 (SDC to DWP), geographic distances range form 110.9252 km (LKS to SDC) to 1741.0933 km (YWL to YLG). Genetic distance and geographic distance are uncorrelated in the Mantel test (r=0.069, P=0.360). UPGMA clustering analysis showed that YWL, LKS, CJC, YLGY and SDC populations were a group, and MS population was clearly separated from other populations, and the other four populations were clustered into a group. The populations located in the boundary of the second and the third topography steps of China (YWL、BTM、YLGY) have a high level of genetic diversity, and the populations in critical distribution areas have a low level. The correlation analysis of genetic diversity and environmental factors showed that allele number and polymorphic percentage of natural populations were a significant positive correlation with the annual average temperature, the average temperature in January, the extreme minimum temperature, and were significant negative correlation with altitude. With increasing annual maximum temperature and the altitude, decreasing in annual rainfall, Shannon's information index rises. Finally, get a result that the molecular variation of P. tabulaeformis natural secondary forest population have partly geographical variation.

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李明,王树香,高宝嘉.油松天然次生林居群遗传多样性及与产地地理气候因子的关联分析.生态学报,2013,33(12):3602~3610

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