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Molecular characterization of Antarctic actinobacteria and screening for antimicrobial metabolite production
Authors:Learn-Han Lee  Yoke-Kqueen Cheah  Shiran Mohd Sidik  Nurul-Syakima Ab Mutalib  Yi-Li Tang  Hai-Peng Lin  Kui Hong
Affiliation:(1) Department of Biomedical Science, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia;(2) Department of Pathology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor Darul Ehsan, Malaysia;(3) Key Laboratory of Tropical Microbial Resources, Hainan Province, Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, 571101, People’s Republic of China;(4) Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education, Wuhan University School of Pharmaceutical Sciences, Wuhan, 430071, People’s Republic of China;
Abstract:The present study aimed to isolate actinobacteria from soil samples and characterized them using molecular tools and screened their secondary metabolites for antimicrobial activities. Thirty-nine strains from four different location of Barrientos Island, Antarctica using 12 types of isolation media was isolated. The isolates were preceded to screening of secondary metabolites for antimicrobial and antifungal activities. Using high-throughput screening methods, 38% (15/39) of isolates produced bioactive metabolites. Approximately 18% (7/39), 18% (7/39), 10% (4/39) and 2.5% (1/39) of isolates inhibited growth of Candida albicans ATCC 10231T, Staphylococcus aurues ATCC 51650T, methicillin-resistant Staphylococcus aurues (MRSA) ATCC BAA-44T and Pseudomonas aeruginosa ATCC 10145T, respectively. Molecular characterization techniques like 16S rRNA analysis, Enterobacterial repetitive intergenic consensus—polymerase chain reaction (ERIC-PCR), Random amplified polymorphic DNA (RAPD) and composite analyses were used to characterize the actinobacteria strains. Analysis of 16S rRNA sequences is still one of the most powerful methods to determine higher taxonomic relationships of Actinobacteria. Both RAPD and ERIC-PCR fingerprinting have shown good discriminatory capability but RAPD proved to be better in discriminatory power than ERIC-PCR. Our results demonstrated that composite analysis of both fingerprinting generally increased the discrimination ability and generated best clustering for actinobacteria strains in this study.
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