首页|中国茜草属sect.Oligoneura的形态计量学研究

中国茜草属sect.Oligoneura的形态计量学研究

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茜草属为茜草科模式属,全球约80种,中国有近一半的物种,是茜草属的重要分布中心,大部分隶属于sect.Oligoneura.但是,该组内各种间的形态特征错综复杂,依靠单个性状不易划定种间界限.该研究在全面衡量sect.Oligoneura组内各种间形态特征的基础上,选取该组20种共171份标本,对其3个数量性状和28个定性性状进行聚类分析和主成分分析.结果表明:在主成分分析中,前3个主成分累积贡献率有46.88%,性状的累积贡献率增长并不明显,但该结果仍与聚类分析结果一致.对前3个主成分贡献较大的特征包括叶形(叶长宽比)、叶柄长度、叶脉、每轮叶片数和生活型等,这些形态性状也是该属传统分类学中重要的物种鉴定特征.该研究结果与分子系统发育结果基本一致,支持该组内ser.Chinenses、R.mandersii group、R.angustissima group和R.siamensis group类群的划分,但并不支持ser.Cordifoliae单独成系.sect.Oligoneura内除少数物种外,大部分物种界限均比较清晰.形态计量学研究为sect.Oligoneura甚至茜草属的物种鉴定与划分提供了重要的参考意义.
A morphometric study of Chinese Rubia sect.Oligoneura (Rubiaceae: Rubieae)
Rubia is the type genus of Rubiaceae, comprising ca.80 species.China is an important diversity center for Rubia with approximately half of its species, most of which belong to sect.Oligoneura.The morphological variations and taxonomy are complicated in sect.Oligoneura.To provide some statistic evidences for the classification of sect.Oligoneura, we explored a morphometric study based on 20 species (171 specimens) from the section using 28 qualitative and three quantitative characters.Our results showed that the principal components analysis produced the similar result as the cluster analysis, though the accumulation rising slowly with the first three principal components with only 48.56% of the total variations.Contributions to the first three components included leaf shape(leaf length/leaf width), length of leaf petiole, leaf veins, number of leaves in each whorl, and life forms, which were also important to traditional classification of the genus.Our results are congruent with molecular phylogenetic results and support the recognition of ser.Chinensis, R.mandersii group, R.angustissima group and R.siamensis group, but not ser.Cordifoliae.Our results also indicate that most species in sect.Oligoneura can be well distinguished.Therefore, our study suggests that morphometric analysis provides good evidences for species identification and classification within sect.Oligoneura as well as for the whole genus.

Rubiasect.Oligoneuracluster analysisprincipal components analysis (PCA)

杨丽娥、孟盈、聂泽龙、孙航

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中国科学院昆明植物研究所 东亚植物多样性与生物地理重点实验室, 昆明 650201

中国科学院大学, 北京 100049

吉首大学 生物资源与环境科学学院, 植物资源保护与利用重点实验室, 湖南 吉首 416000

茜草属 sect. Oligoneura 聚类分析 主成分分析

国家自然科学基金国家自然科学基金国家自然科学基金委重大项目国家自然科学基金委重大项目中国科学院战略重点研究项目

31370244315702113159082031590823XDB03030112

2017

广西植物
广西壮族自治区广西植物研究所,中国科学院广西植物研究所,广西植物学会

广西植物

CSTPCDCSCD北大核心
影响因子:0.719
ISSN:1000-3142
年,卷(期):2017.37(7)
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