摘要
以浙江省蜡梅自然分布区的5个居群为研究对象,采用巢式方差分析、主成分分析、相关分析、聚类分析等多种分析方法,探究蜡梅花部的形态变异及其与环境因子相关性以及居群间和居群内的表型多样性。结果表明:蜡梅花部性状中除雄蕊长度、雌蕊数、雌蕊长度、内被片数以外,其他12个性状在居群间均有极显著差异。胚珠数的平均变异系数最大,花冠内径的平均变异系数最小,各性状的平均变异系数为15.03%(10.81%—23.38%)。五尖山的表型多样性最丰富,碧东山居群最小,种群间平均表型分化系数为44.38%(1.57%—89.62%),种群内变异大于种群间变异,种群内变异是花部变异的主要来源。主成分分析显示花冠直径、花冠内径、花筒深度和中被片长对种群变异起主要贡献作用。花部多数性状间存在显著或极显著的相关关系,生态因子中花部性状与土壤酸度相关性最大,土壤中花部性状与大量元素相关性最大,微量元素次之,中量元素最小。通过UPGMA聚类分析可以将5个种群分成两组。浙江省野生蜡梅花部形态存在丰富的变异和多样性,花部部分性状与土壤中钙、铁、铜含量和海拔有显著或极显著相关关系。
To determine the morphological variation in flowers and its correlation with environment factors and morphological diversity among or within populations, five natural populations of Chimonanthus praecox in Zhejiang Province were chosen as research subjects. We investigated 16 floral phenotypic traits and used nested analysis, principal component analysis, correlation analysis, and un-weighted pair group method with arithmetic averages (UPGMA) cluster analysis to analyze the experimental results. The results showed that there were extremely significant differences among most of the floral characteristics of Chimonanthus praecox. The average variation coefficient of ovule number was highest, and the average variation coefficient of corolla inner diameter was smallest. The corolla inner diameter was the most stable phenotypic trait. The mean coefficient of variation (CV) of all traits was 15.03% with the range from 10.81% to 23.38%, and the average phenotypic differentiation coefficient (Vst) was 44.38% with the range from 1.57% (pistil number) to 89.62% (corolla diameter), phenotypic variation within a population was 55.62%. Average value of CV of the Wujianshan population was the largest and that of the Longwangkan population was the smallest. The variation within populations was greater than that among populations, which indicated that the former was the main source of the floral morphological variation. The principle component analysis showed that corolla diameter, corolla inner diameter, flower cylinder depth, and middle perianth length contributed the most variation. Correlation analysis showed that there were significant and highly significant correlations between parts of floral traits. The soil acidity appeared to be the most prominent ecological factor influencing phenotypic traits of flowers. The results of the analysis on the correlation between floral morphological characters and environment factors indicated that none of the studied environment factors played a significant leading role to affect the variation of one single character. Different environment factors could have different influences on variation of a single character, whereas the same environmental factor showed somewhat different effects on different characters. Macroelements had greater correlation with floral traits than did microelements and mid-elements. According to UPGMA cluster analysis, five populations could be classified into two groups. The UPGMA cluster analysis showed that the morphological variation of the five natural populations of Chimonanthus praecox were not fully clustered in accordance with the geographical distance. It is suggested that there is rich variation and diversity of floral traits among wild Chimonanthus praecox populations, corolla diameter, the length of the middle perianth, and the ratio of length to width of the middle perianth had significant positive correlations with the content of copper, the ovule number had a significant positive correlation with the content of calcium, the ratio of length to width of the middle perianth had a significant positive correlation with the content of iron, and the number of inner perianth had a highly significant positive correlation with altitude of the habitat.
作者
杜会聪
蒋雅婷
田敏
张莹
王彩霞
DU Huicong;JIANG Yating;TIAN Min;ZHANG Ying;WANG Caixia(Research Institute of Subtropical Forestry,Chinese Academy of Forestry,Fuyang 311400,China)
出处
《生态学报》
CAS
CSCD
北大核心
2018年第16期5800-5809,共10页
Acta Ecologica Sinica
基金
浙江省科技厅公益技术研究农业项目(2016C32030)
关键词
野生蜡梅
花
形态变异
环境因子
相关性
wild Chimonanthus praecox
flower
morphological variation
environment factor
correlation