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四川省珙桐天然种群叶表型多样性

张腾驹,陈小红*,康喜坤,刘静   

  1. (四川农业大学林学院, 四川温江 611130)
  • 出版日期:2019-01-10 发布日期:2019-01-10

Phenotypic diversity of leaf morphologic traits of Davidia involucrata natural populations in Sichuan Province.

ZHANG Teng-ju, CHEN Xiao-hong*, KANG Xi-kun, LIU Jing   

  1. (College of Forestry, Sichuan Agricultural University, Wenjiang 611130, Sichuan, China).
  • Online:2019-01-10 Published:2019-01-10

摘要: 为探讨不同生境下珙桐(Davidia involucrata)种群的叶表型性状变异及其适应机制,以四川省珙桐分布区内15个天然种群的11个叶表型性状为研究对象,运用巢氏方差分析、相关性分析、聚类分析等方法,对11个叶表型性状的变异规律进行分析。结果表明:11个表型性状在种群间和种群内都存在显著变异,变异较为丰富;种群间平均表型分化系数为37%,低于种群内(63%),种群内变异是珙桐变异的主要来源;种群间11个叶表型性状的变异系数(CV)的均值为16.22%,变异幅度为4.32%~29.10%,种群间离散系数(R′)均值为53.21%,变化范围为39.3%~87.14%;对15个珙桐种群的11个叶表型指标进行相关分析发现,叶长、叶宽、脉左宽和叶柄长相互间存在极显著相关性(P<0.01),表明部分叶表型性状之间存在相互协调作用;叶片大小、叶柄大小与纬度、海拔呈显著负相关(P<0.05),说明随着纬度和海拔升高,珙桐叶片有变小、变薄的趋势;不同性状与不同种群间Shannon信息指数的均值分别为2.360和2.331,且分布较为均匀;利用欧氏距离对珙桐种群进行聚类分析,四川省珙桐种群可划分为3大类,其地理变异规律表现为不连续性。这些结果表明,珙桐种群间存在较为丰富的表型变异,与其自身遗传特点和生境条件相关,研究为今后野生珙桐资源的保护和利用提供了参考。

Abstract: Dove tree (Davidia involucrata) is one of the national first-class protective plants in China. In order to understand its variation and adaptation mechanism of leaf phenotypic traits, 11 leaf phenotypic traits of 15 populations were investigated in Sichuan Province. The variation degrees of 11 leaf phenotypic traits were tested by nested analysis of variance, correlation analysis, and cluster analysis. Significant and abundant variations of 11 phenotypic traits were observed at inter and intra population levels. The mean phenotypic differentiation coefficient among populations was 37%, which was less than that within populations (63%), indicating that the variation within populations was the main source of the phenotypic variation of dove tree. The mean coefficient of variation (CV) of 11 phenotypic indices was 16.22%, ranging from 4.32% to 29.10%. The mean dispersion coefficient of populations was 53.21%, ranging from 39.38% to 87.14%. The results of correlation analysis showed that there were significant correlations among leaf length, leaf width, left leaf width, and petiole length, implying that some leaf phenotypic traits of dove tree coordinate each other in the 15 dove tree populations. Leaf size, leaf thickness and petiole size were negatively correlated with latitude and altitude, with the leaves being gradually smaller and thinner with elevated latitude and altitude. The mean values of Shannon index for leaf phenotypic traits and for dove tree populations were 2.360 and 2.331 respectively, and were well-distributed as well. Results from the clustering analysis showed that the 15 dove tree populations in Sichuan Province could be classified into three groups, with a lack of continuous geographical variations. In conclusion, the dove tree populations in Sichuan Province had higher phenotypic variations, which were related with the heredity and habitats. Our results provided scientific basis for conservation and utilization of dove tree resources.