Use of cluster analysis in the systematics of the algal genus Cryptomonas

Sixteen species and one variety of the algal genus Cryptomonas Ehrenberg were identified from a large number of samples collected from lakes, ponds, and marshes in eastern Canada and the Northwest Territories. A description, including photographs and drawings, is given for each taxon. Cluster analys...

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Bibliographic Details
Published in:Canadian Journal of Botany
Main Authors: Anton, Ann, Duthie, Hamish C.
Format: Article in Journal/Newspaper
Language:English
Published: Canadian Science Publishing 1981
Subjects:
Online Access:http://dx.doi.org/10.1139/b81-136
http://www.nrcresearchpress.com/doi/pdf/10.1139/b81-136
Description
Summary:Sixteen species and one variety of the algal genus Cryptomonas Ehrenberg were identified from a large number of samples collected from lakes, ponds, and marshes in eastern Canada and the Northwest Territories. A description, including photographs and drawings, is given for each taxon. Cluster analysis statistics were used to determine the taxonomic value of certain characters and the affinities between the species. It was found that binary (two-state) characters gave a more realistic diagnosis than quantitative (continuous) data because of the large variation and overlap in measurements of the latter. The following characters were considered to be of taxonomic significance in separating the species: (i) cell shape and size, (ii) number of chloropasts, (iii) number and position of chloroplasts, (iv) flagella and gullet system, and (v) number and position of other included bodies. Based on these characters, a new taxonomic key was constructed for the identification of the common freshwater species of Cryptomonas.