Use of cluster analysis with monoclonal antibodies for taxonomic differentiation of phytopathogenic fungi and for screening and clustering antibodies

Cluster analysis of ELISA (A405) values resulting from tests using all possible combinations of 43 monoclonal antibodies (raised against Phytophthora megasperma f.sp. glycinea ) and 14 phytopathogenic fungi separated these fungi into taxonomically appropriate clusters. Two distance measurements (Pea...

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Bibliographic Details
Published in:Current microbiology 1988-05, Vol.17 (3), p.127-132
Main Authors: FERGUSON, M. W, WYCOFF, K. L, AYERS, A. R
Format: Article
Language:English
Subjects:
Biological and medical sciences
Fundamental and applied biological sciences. Psychology
Fungal plant pathogens
Phytopathology. Animal pests. Plant and forest protection
Systematics. Morphology. Development cycle. Physiology
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Summary:Cluster analysis of ELISA (A405) values resulting from tests using all possible combinations of 43 monoclonal antibodies (raised against Phytophthora megasperma f.sp. glycinea ) and 14 phytopathogenic fungi separated these fungi into taxonomically appropriate clusters. Two distance measurements (Pearson's correlation coefficient and normalized Euclidean distance) and five linkage methods (single, complete, median, centroid, and average) were evaluated. The combination of Pearson's correlation coefficient and complete linkage produced the most "natural" clusters. A modification of the data matrix allowed clustering of the monoclonal antibodies by specificity. Numerically coded ELISA values clustered identically with the original data. The taxonomic and evolutionary implications of using monoclonal antibodies specific to carbohydrates are discussed.
ISSN:0343-8651
1432-0991
DOI:10.1007/BF01573467