Leaf-level phenotypic plasticity of Indigofera bungeana Walp.
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摘要: 以中国分布最广、形态变异复杂且分类上存在争议的木蓝属植物河北木蓝（Indigofera bungeana Walp.）为研究对象，运用GIS技术从较大尺度上（17省28县29个居群）进行叶表型可塑性分析，利用表型可塑性指数和变异系数对叶表型可塑性进行评价，并对叶表型性状与环境因子的相关性进行分析。结果显示：河北木蓝叶表型性状在居群间的变异大于居群内；叶长、叶柄长、最少小叶数、最多小叶数、小叶长、小叶宽6个叶表型性状均具有可塑性，其中叶长的可塑性最大，小叶数目的可塑性最小；年均降水量是对叶表型可塑性影响最大的环境因子；6个叶表型性状与海拔均呈负相关，与年均气温呈正相关。研究结果可为河北木蓝的分类、适应性进化和开发利用奠定基础。Abstract: We selected Indigofera bungeana Walp., the most widely distributed and morphologically varied species of Indigofera in China, to conduct analysis of variance, phenotypic plasticity analysis, and correlation analysis based on six leaf characters across 29 populations and 570 individuals using GIS technology. Results showed significant differences in the leaf characters of I. bungeana among populations, with greater differences found among populations than within populations. All studied I. bungeana leaf characters (i.e., leaf length, petiole length, minimal number of leaflets, maximal number of leaflets, leaflet length, and leaflet width) were plastic, with plasticity of leaf length and leaflet number found to be the largest and smallest, respectively. Leaf number can be used as a valuable taxonomic character. Average annual precipitation had the largest impact on leaf plasticity. In addition, all characters were negatively correlated with altitude, but positively correlated with average annual temperature. These results provide basic data for further studies on the taxonomy, adaptive evolution, and resource utilization of I. bungeana.
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