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Analysis of Antarctic proteobacteria by PCR fingerprinting and screening for antimicrobial secondary metabolites

文献类型： 外文期刊

作者： Lee, L. -H. 1 ; Cheah, Y. -K. 1 ; Syakima, A. M. Nurul 1 ; Shiran, M. S. 2 ; Tang, Y. -L. 3 ; Lin, H. -P. 3 ; Hong, K. 3 ;

作者机构： 1.Univ Putra Malaysia, Dept Biomed Sci, Fac Med & Hlth Sci, Selangor Darul Ehsan, Malaysia

2.Univ Putra Malaysia, Dept Pathol, Fac Med & Hlth Sci, Selangor Darul Ehsan, Malaysia

3.Chinese Acad Trop Agr Sci, Inst Trop Biosci & Biotechnol, Key Lab Trop Microbial Resources, Haikou, Hainan Province, Peoples R China

4.Wuhan Univ, Sch Pharmaceut Sci, Minist Educ, Key Lab Combinatorial Biosynth & Drug Discovery, Wuhan 430072, Peoples R China

关键词： Diversity;Proteobacteria;High-throughput screening;16S rRNA;ERIC-PCR;RAPD

期刊名称：GENETICS AND MOLECULAR RESEARCH （ 影响因子：0.764； 五年影响因子：0.912 ）

ISSN： 1676-5680

年卷期： 2012 年 11 卷 2 期

页码：

收录情况： SCI

摘要： Fifty-seven proteobacterium species were successfully isolated from soils of Barrientos Island of the Antarctic using 11 different isolation media. Analysis of 16S rDNA sequencing of these isolates showed that they belonged to eight different genera, namely Bradyrhizobium, Sphingomonas, Methylobacterium, Caulobacter, Paracoccus, Ralstonia, Rhizobium, and Staphylococcus. All isolates were studied for capability of producing antimicrobial and antifungal secondary metabolites using high-throughput screening models. Approximately 23 (13/57) and 2% (1/57) of isolates inhibited growth of Candida albicans ATCC 10231(T) and Staphylococcus aureus ATCC 51650(T), respectively. These results indicated that proteobacterium species isolates from Antarctic could serve as potential source of useful bioactive metabolites. Enterobacterial repetitive intergenic consensus (ERIC)-PCR fingerprinting produced nine clusters and 13 single isolates, with a high D value of 0.9248. RAPD fingerprinting produced six clusters and 13 single isolates, with a relatively low D value of 0.7776. ERIC-PCR analysis proved to have better discrimination capability than RAPD analysis and generated better clustering for all proteobacterium species isolates. We conclude that ERIC-PCR is a robust, reliable and rapid molecular typing method for discriminating different genera of proteobacteria.

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