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不同地理环境下的樟子松遗传结构分析

苗禹博 方攀 杨志恒 朱晓梅 高琼 刘洋 李伟

苗禹博, 方攀, 杨志恒, 朱晓梅, 高琼, 刘洋, 李伟. 不同地理环境下的樟子松遗传结构分析[J]. 北京林业大学学报, 2018, 40(10): 43-50. doi: 10.13332/j.1000-1522.20170438
引用本文: 苗禹博, 方攀, 杨志恒, 朱晓梅, 高琼, 刘洋, 李伟. 不同地理环境下的樟子松遗传结构分析[J]. 北京林业大学学报, 2018, 40(10): 43-50. doi: 10.13332/j.1000-1522.20170438
Miao Yubo, Fang Pan, Yang Zhiheng, Zhu Xiaomei, Gao Qiong, Liu Yang, Li Wei. Genetic structure analysis of Pinus sylvestris var. mongolica under different geographical environments[J]. Journal of Beijing Forestry University, 2018, 40(10): 43-50. doi: 10.13332/j.1000-1522.20170438
Citation: Miao Yubo, Fang Pan, Yang Zhiheng, Zhu Xiaomei, Gao Qiong, Liu Yang, Li Wei. Genetic structure analysis of Pinus sylvestris var. mongolica under different geographical environments[J]. Journal of Beijing Forestry University, 2018, 40(10): 43-50. doi: 10.13332/j.1000-1522.20170438

不同地理环境下的樟子松遗传结构分析

doi: 10.13332/j.1000-1522.20170438
基金项目: 

国家重点研发计划项目 2017YFD0600505

内蒙古自治区科技重大专项 2014

详细信息
    作者简介:

    苗禹博。主要研究方向:针叶树遗传改良。Email:MIAO_Yubo@163.com 地址:100083 北京市海淀区清华东路35号北京林业大学生物科学与技术学院

    责任作者:

    李伟,博士,教授。主要研究方向:针叶树遗传改良。Email: bjfuliwei@bjfu.edu.cn 地址:同上

  • 中图分类号: S791.253;S727.19

Genetic structure analysis of Pinus sylvestris var. mongolica under different geographical environments

  • 摘要: 目的本研究旨在探究樟子松在不同地理环境下的生态适应性问题, 了解遗传多样性与环境因子之间的关系, 在群体遗传结构层面揭示樟子松林分衰退现象。方法本文以红花尔基(HHEJ)种源天然林和章古台(ZGT)、围场(WC)、榆林(YL)3个人工引种林, 共计4个樟子松群体为研究对象, 利用SSR分子标记方法对樟子松不同群体的遗传多样性、遗传平衡、遗传结构稳定性、遗传距离以及影响遗传变异主要因素进行了系统分析。结果结果表明:4个群体的遗传多样性大小由低到高依次为HHEJ、ZGT、WC、YL; 只有YL群体符合哈迪-温伯格平衡, ZGT群体的连锁不平衡位点达到128对, 偏离哈迪-温伯格平衡的程度最大; HHEJ和ZGT群体之间的遗传距离最为接近, WC群体相距较远, YL群体的遗传距离最远; 4个樟子松群体的遗传分化相对稳定, 不易产生遗传分化; 多元回归分析显示樟子松期望杂合度(He)与地理纬度(La)具有显著的负相关关系(r=-0.957), 线性关系在α=0.05的水平上显著(P=0.012)。结论本研究发现樟子松的遗传多样性可能随着纬度的升高而降低, 阐明了不同地区樟子松群体的遗传差异情况, 及其林分衰退的可能因素, 为樟子松科学的遗传资源保护、引种造林提供了数据支撑和理论指导。

     

  • 图  1  4个地区樟子松I、He、Nei基因多样性指数

    Figure  1.  The data of I, He, Nei's genetic diversity in different populations

    图  2  樟子松UPGMA系统聚类图

    Figure  2.  UPGMA phylogenetic tree for Pinus sylvestris var. mongolica in four populations

    图  3  He与La回归曲线

    Figure  3.  Regression curve of He and La

    表  1  樟子松实验材料采集地基本信息

    Table  1.   Basic information of field collection of Pinus sylvestris var. mongolica

    群体
    Population
    经纬度
    Latitude and longitude
    海拔
    Elevation/m
    样品数
    Sample number
    林分类型
    Forest type
    红花尔基Honghuaerji(HHEJ) 119°45′E, 49°13′N 610 40 天然林Natural forest
    章古台Zhanggutai(ZGT) 122°32′E, 42°25′N 79 30 人工引种林Artificial introduction forest
    围场Weichang(WC) 117°45′E, 41°56′N 842 48 人工引种林Artificial introduction forest
    榆林Yulin(YL) 109°42′E, 38°16′N 1 157 40 人工引种林Artificial introduction forest
    下载: 导出CSV

    表  2  4个群体樟子松遗传多样性参数

    Table  2.   Genetic diversity parameters in four different populations

    群体
    Population
    观测等位基因
    Observe number of allele(Na)
    有效等位基因
    Effective number of allele (Ne)
    Shannon信息指数
    Shannon's information index (I)
    期望杂合度
    Nei's expected heterozygosity (He)
    Nei基因多样性指数
    Nei's genetic diversity
    固定指数
    Fixation index(Fix)
    基因流
    Gene flow(Nm)
    HHEJ 3.2 1.8524 0.6276 0.3362 0.3316 -0.0514
    ZGT 2.8 1.8498 0.6375 0.3822 0.3756 -0.1217 1.4885
    WC 3.4 1.9998 0.7513 0.4154 0.4110 0.0538 1.2077
    YL 3.1 2.1105 0.7702 0.4455 0.4396 0.0325 1.1769
    下载: 导出CSV

    表  3  不同SSR位点的F-统计量

    Table  3.   F-statistic of the SSR locus

    位点
    Locus
    片段大小
    Fragment size/bp
    亚群内
    Within subgroup
    (Fis)
    群体内
    Within group
    (Fit)
    亚群间
    Between subgroups
    (Fst)
    lw_isotig 04204 278 -0.2009 -0.1398 0.0508
    lw_isotig 07383 284 -0.1204 -0.1027 0.0157
    lw_isotig 10603 316 0.1703 0.3806 0.2534
    lw_isotig 17679 308 -0.1915 -0.0608 0.1097
    lw_isotig 21953 304 0.1782 0.2985 0.1464
    lw_isotig 26230 286 -0.0812 -0.0086 0.0672
    lw_isotig 00080 304 -0.1062 -0.0503 0.0505
    lw_isotig 00081 300 -0.1580 0.3582 0.4458
    lw_isotig 01420 288 0.0068 0.2931 0.2883
    lw_isotig 02138 284 0.2255 0.7477 0.6743
    lw_isotig 02347 300 -0.5124 -0.2236 0.1910
    lw_isotig 04306 304 -0.0113 0.3366 0.3411
    lw_isotig 05123 298 0.0087 0.0441 0.0357
    lw_isotig 11166 304 0.0009 0.1485 0.1477
    lw_isotig 20215 304 0.0020 0.2369 0.2353
    均值Mean 297 -0.0268 0.1985 0.2194
    下载: 导出CSV

    表  4  群体间遗传相似度(GI)和遗传距离(GD)

    Table  4.   Nei's genetic identity(GI)and genetic distance(GD)among populations

    群体Population HHEJ ZGT WC YL
    HHEJ 0.8137 0.7596 0.7388
    ZGT 0.2062 0.7570 0.7768
    WC 0.2750 0.2784 0.7132
    YL 0.3027 0.2526 0.3380
    注:对角线上半部分为遗传相似度(GI),下半部分为遗传距离(GD)。Notes:the upper half of the diagonal is the genetic identity (GI), and the lower part is the genetic distance (GD).
    下载: 导出CSV

    表  5  He和环境因子的量化指标

    Table  5.   Quantitative indicators of He and environmental factors in different groups

    群体
    Population
    期望杂合度
    Nei's expected heterozygosity
    (He)
    年降雨量
    Annual rainfall
    (Rn)/mm
    年日照时长
    Annual sunlight
    time(Sh)/h
    年平均气温
    Annual average air temperature
    (Ty)/℃
    1月平均气温
    Average temperature in January
    (Tja)/℃
    7月平均气温
    Average temperature in July
    (Tju) /℃
    海拔
    Elevation
    (El)/m
    纬度
    Latitude
    (La) /°
    经度
    Longitude
    (Lo) /°
    年积温
    Annual accumulated temperature
    (Ta) /℃
    HHEJ 0.3362 349 2696.80 -1.26 -25.78 19.90 6102 49.22 119.75 4595.13
    ZGT 0.3822 488 2627.89 7.31 -11.64 23.70 794 42.42 122.53 6402.75
    WC 0.4151 530 2699.01 8.90 -9.25 24.27 8428 41.93 117.75 6858.43
    YL 0.4455 399 2652.31 8.37 -9.25 23.46 11570 38.27 109.78 6474.09
    下载: 导出CSV
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  • 收稿日期:  2017-12-14
  • 修回日期:  2018-03-12
  • 刊出日期:  2018-10-01

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