IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY
Mohamed Sonya,, H., E.A., S., M.M., Z. (2005). IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY. EKB Journal Management System, 13(3), 641-668. doi: 10.21608/ajs.2005.15265
H. Mohamed Sonya,; Saleh E.A.; Zaki M.M.. "IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY". EKB Journal Management System, 13, 3, 2005, 641-668. doi: 10.21608/ajs.2005.15265
Mohamed Sonya,, H., E.A., S., M.M., Z. (2005). 'IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY', EKB Journal Management System, 13(3), pp. 641-668. doi: 10.21608/ajs.2005.15265
Mohamed Sonya,, H., E.A., S., M.M., Z. IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY. EKB Journal Management System, 2005; 13(3): 641-668. doi: 10.21608/ajs.2005.15265

IDENTIFICATION OF EIGHT HALOTOLERANT STREPTO-MYCETE ISOLATES USING A SUGGESTED NUMERICAL TAXONOMY

Arab Universities Journal of Agricultural Sciences
Article 5, Volume 13, Issue 3, September 2005, Page 641-668  XML PDF (500.82 K)
Document Type: Original Article
DOI: 10.21608/ajs.2005.15265
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Authors
H. Mohamed Sonya,* 1; Saleh E.A.1; Zaki M.M.2
1Agricultural Microbiology Department, Institute of Soil, Water and Environment Research, Agricultural Research Center, Giza, Egypt
2Agricultural Microbiology Department, Faculty of Agriculture, Ain Shams Universi-ty, Shoubra El-Kheima, Cairo, Egypt
Abstract
A numerical method was suggested for the identification of eight local halotolerant streptomycete isolates. Cultural, morphological, physiological and antagonistic characteristics of those isolates were determined. Arbitrary scoring of these characters for the eight unknown isolates and those of the more related known Streptomyces species in the keyof Pridham and Tresner (1974) was given and resulted 58 characteristic units. The degree of similarity was determined using the Dice coefficient method and clustering was achieved using the unweighted pair group method average (UPGMA) algorithm. Using this numerical method, six out of the eight Streptomyces isolates, i.e., ST08, ST09, ST11, ST13, ST14 and ST15 were identified as S. longisporus, S. janthinus, S. griseochromogenes, S. antibioticus S. baarnensis and S. albolongus with 100, 95.8, 95.0, 92.8, 95.0 and 91.1%, respectively. Isolates ST10 and ST12 were duplicate of S. echinatus with similarities of 93.3 and 94.6%, respectively. Application of the suggested numerical taxonomy on the 14 known Streptomyces species revealed that these species fell into three major clusters based on their color of aerial mycelia.
Keywords
Streptomyces; Numerical identification; Halotolerant; Characteristic units; Taxonomy
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