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Selective isolation and numerical classification of novel thermophilic streptomycetes

Forty-five thermophilic streptomycetes were isolated from different habitats and examined for 163 unit characters with 8 representative thermophilic type strains, 29 reference strains and 16 randomly selected duplicated organisms for many phenotypic properties. The data were evaluated using the simple matching coefficients (SSM), and clustering achieved using the complete algorithm. | Turk J Biol 26 (2002) 13-24 © TÜB‹TAK Selective Isolation and Numerical Classification of Novel Thermophilic Streptomycetes Nevzat fiAH‹N, Erman ÖZTÜRK, Kamil IfiIK, Ergin KAR‹PTAfi, Reflit ÖZKANCA Ondokuz May›s University, Faculty of Science and Arts, Department of Biology, 55139 Kurupelit, Samsun - TURKEY Received: 09.05.2001 Abstract: Forty-five thermophilic streptomycetes were isolated from different habitats and examined for 163 unit characters with 8 representative thermophilic type strains, 29 reference strains and 16 randomly selected duplicated organisms for many phenotypic properties. The data were evaluated using the simple matching coefficients (SSM), and clustering achieved using the complete algorithm. It was clearly seen that the high cophenetic correlation, low test error values and high similarity level agreed with the defined numerical taxonomic criteria. The test strains were assigned to four aggregate groups consisting seven major (5-8 strains), nine minor (2-4 strains) and ten single membered clusters. It can be concluded that the numerical taxonomic studies yielded valuable information on the biodiversity of biotechnologically significant thermophilic streptomycetes from natural habitats. Key Words: Streptomyces, Numerical Taxonomy Yeni Termofilik Streptomycetes’lerin ‹zolasyonu ve Nümerik S›n›fland›r›lmas› Özet: Farkl› habitatlardan izole edilen 45 termofilik streptomycetes, 8 termofilik tip örne¤i, 29 referans ve bunlardan rastgele seçilmifl 16 duplike sufl, 163 birim fenotipik karakter yönünden test edildi. Verilerin analizi simple matching coefficients (SSM), kümelendirme ifllemi de complete algorithm kullan›larak gerçeklefltirildi. Yüksek cophenetic korelasyon ve düflük test hatas› de¤erleri ile yüksek benzerlik seviyesi kabül edilen nümerik taxonomik kriterler ile uyum içerisinde oldu¤u aç›kça görüldü. Test sufllar› yedi büyük (5-8 sufl), dokuz küçük (2-4 sufl) ve on tek üyeli kümeleri içeren dört agregat grup olarak belirlendi. .