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云南医学革螨数值分类研究
引用本文:罗礼溥,郭宪国.云南医学革螨数值分类研究[J].昆虫学报,2007,50(2):172-177.
作者姓名:罗礼溥  郭宪国
作者单位:(大理学院病原与媒介生物研究所,云南大理671000)
基金项目::国家自然科学基金项目(30460125),云南省自然科学基金项目(2003C0057M),云南省教育厅科研基金项目(032619C)
摘    要:以云南省57种医学革螨作为分类单元,以形态特征为主列出60项分类性状特征来探讨云南省医学革螨不同属和种的亲缘关系。运用SPSS 11.5 统计软件中的系统聚类分析和主成分分析,对57种医学革螨进行了数值分类分析。结果显示:57种医学革螨划分为厉螨科(La elapidae)、寄螨科(Parasitidae)、皮刺螨科(Dermanyssidae)、赫刺螨科(Hirstionyssidae)和裂胸螨科(Aceosejidae)5个类群。赫刺螨属和棘刺螨属从厉螨科中分离出来另立为赫刺螨科,柏氏禽刺螨归入了皮刺螨科而不是巨刺螨科。分类结果与传统形态分类结果基本一致,因而认为数值分类能比较客观地反映医学革螨各分类阶元的分类地位与亲缘关系。

关 键 词:医学革螨  数值分类  系统聚类  主成分分析  
文章编号:0454-6296(2007)02-0172-06
修稿时间:2006-04-24

Studies on numerical taxonomy for medical gamasid mites of Yunnan
LUO Li-Pu,GUO Xian-Guo.Studies on numerical taxonomy for medical gamasid mites of Yunnan[J].Acta Entomologica Sinica,2007,50(2):172-177.
Authors:LUO Li-Pu  GUO Xian-Guo
Affiliation:(Institute of Pathogens and Vectors, Dali University, Dali, Yunnan 671000, China)
Abstract:The aim of this paper is to determine the taxonomic position of medical gamasid mites and further explore the difference between numerical taxonomy and the traditional morphological taxonomy for medical gamasid mites. Based on hierarchical clustering analysis and principal component analysis (PCA), the numerical taxonomy on 57 species of medical gamasid mites was carried on. The results of clustering analysis based on squared Euclidean distance showed that the 57 species of medical gamasid mites were divided into the five families in the dendrogram: Laelapidae, Parasitidae, Dermanyssidae, Hirstionyssidae and Aceosejidae. Differed from the traditional taxonomic views, Hirstionyssus and Echinonyssus were separated from Laelapidae and formed an independent family-Hirstionyssidae; Ornithonyssus bacoti was assigned to Dermanyssidae instead of Macronyssidae. The classifications of the remained species were the same as those in the traditional taxonomy. The results of PCA showed that the cumulative variance of the front 14 principal components reached 85.681%. The results in the three-dimension ordination of PCA were consistent with the results in the hierarchical clustering analysis. The results of clustering analysis were consistent with those of traditional morphological taxonomy for medical gamasid mites. It was so concluded that the results of numerical taxonomy could objectively reflect the taxonomic position and affinity between medical gamasid mites.
Keywords:Acari  medical gamasid mites  numerical taxonomy  hierarchical clustering  principal component analysis
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