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小叶杨与欧洲黑杨杂交子代苗期叶形变异分析

Leaf Morphological Variation on Progeny of Populus simonii × Populus nigra

    摘要
  • 摘要:
    目的 对以小叶杨（Populus simonii Carr.）无性系‘1-XY’为母本、欧洲黑杨（P. nigra L.）无性系‘N139’为父本杂交F1代及其亲本无性系进行叶片形态性状变异分析和主成分分析，探讨LeafAnalyser和MorphoJ软件在杨树叶片形态性状研究中的应用。
    方法 1年生苗木叶片采集后扫描成像，使用Digimizer软件对4个叶片形态性状（叶片面积、叶片周长、叶长和叶宽）进行测量，计算性状统计参数；使用LeafAnalyser软件通过200个标志点分析生成叶片形态轮廓点位标记，构建叶片形态轮廓模型，对叶片形态特征识别并进行主成分分析（PCA）；使用MorphoJ软件通过普氏叠印法（GPA）构建叶片形态轮廓模型，并进行主成分分析，生成可视化叶形变化图像。
    结果 杂交子代4个叶片形态性状变异系数均大于10%，其中叶面积变异系数最大（31.74%），且性状频率分布相对偏向于父本。基于LeafAnalyser软件叶形变异主成分分析结果显示，第一主成分（PC1）和第二主成分（PC2）共占总变量的91.79%，PC1的叶形轮廓显示，叶面积是对叶形变异PC1影响最大的因子。MophoJ软件叶形变异主成分分析结果显示，PC1、PC2、PC3和PC4共占总变量的85%，标志点数据生成了4个主成分分析叶形轮廓图，直观地显示了叶形特征变化趋势。
    结论 基于LeafAnalyser和MorphoJ软件的测量对叶片形态性状精确量化，通过标志法和轮廓法，以可视化图的形式直观地阐明叶片形态变异，为叶片形态性状变异研究提供了方便准确的应用方法。

     

    Abstract:
    Objective To investigate the feasibility of LeafAnalyzer and MorphoJ software in leaf morphological chartacters of poplar, F1 progenies between Populus simonii and P. nigra were used for variation analysis and principal component analyse of leaf morphological traits.
    Method The leaves from 1-year-old plants of parents and progenies were collected and scanned with scanner and computer. Four leaf morphological traits (area, circumference, length and width), were measured by Digimizer software, and statistical parameters of the traits were calculated. LeafAnalyser software was used to generate spot markers of leaf shape contour through analysis of 200 mark points, build a leaf shape contour model, identify leaf shape characteristics and conduct principal component analysis (PCA). MorphoJ softeare was used to construct the profile model of leaf morphology by using Generalized Procrustes analysis (GPA), and PCA was performed to generate visual images of leaf shape changes.
    Result The variation coefficients from four leaf morphological traits of the hybrid progenies were all greater than 10%, and the variation coefficient of leaf area was the largest (31.74%) among four leaf traits. Based on LeafAnalyser software, principal component analysis and leaf shape variation showed that PC1 an PC2 accounted for 91.79% of the total variables, and the leaf shape profile of PC1 showed that leaf area was the factor that had the greatest influence on PC1 of leaf shape variation. According to the results of leaf shape variation an PCA with MorphoJ software showed that PC1, PC2, PC3 and PC4 accounted for 85% of the total variables. Leaf shape contour maps of four principal components were generated from the marking data, which visually showed the trend of leaf shape changes.
    Conclusion Based on statistical analysis of leaf characters, leaf morphological analysis software was introduced to leaf shape analysis, the genetic variation of leaf morphological traits in hybrid progenies was comprehensively and intuitively studied, and the method of leaf shape analysis software in leaf morphological research was constructed in poplar.

     

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