ISSN: 0973-7510

E-ISSN: 2581-690X

Honglei Wang1, 3, Wei Bing1, Xiaoli Zhou1, Yan Feng1,2 and Zuoming Zhang1*
1Key Laboratory for Molecular Enzymology and Engineering, the Ministry of Education, School of Life Science, Jilin University, Changchun, Jilin – 130012, China.
2State Key Laboratory for Microbial Metabolism and School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai – 200240, China.
3College of Chemistry & Life Sciences, Changchun University of Technology, Changchun, Jilin – 130012, China.
J Pure Appl Microbiol. 2015;9(1):181-187
© The Author(s). 2015
Received: 10/05/2014 | Accepted: 24/06/2014 | Published: 31/03/2015
Abstract

Multiple factors can influence the overall community diversity of microorganisms in thermophilic mats. In this paper, two cultivation-independent molecular methods, i.e. terminal restriction fragment length polymorphism analysis and 16SrRNA gene library were used to analyse the microbial community structures of hot springs in the Changbai Mountains. This paper analysed the bacterial community compositions in the surface sediments of three hotsprings, and remarkable differences were observed among hot springs. The temperature impacted markedly the bacterial community structure in the hot spings. The chemoautotrophic bacteria were abundant in three separate hot springs, and the light autotrophic bacteria were dominant in the high-temperature hot springs. However, more comparative studies on different springs will be necessary. Thermotogae, Thermus, Clostridium, Gallionellaceae and Pseudomonadales were the dominant bacterial group in the clone library from the hot springs, whereas Aquificales appeared to be the dominated colonizers by T-RFLP. Combined detection is more effective for the research of microorganism community in the hot springs. In addition, the present study points to the interactions between the bacterial community composition and the sediment environmental characteristics, revealing the roles of microorganisms involved in the biogeochemical cycling of nutrient elements in the hot spring ecosystem.

Keywords

Hot spring sediment, 16S rRNA gene library, T-RFLP analysis, Phylogenetics, Biogeochemical cycles

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