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Bacterial communities in soil samples from the mingyong glacier of southwestern China
Pakistan Journal of Pharmaceutical Sciences. 2017; 30 (3): 689-696
in English | IMEMR | ID: emr-186462
ABSTRACT
The present study was an effort to determine the bacterial diversity of soils in Mingyong Glacier located at the Meili Snow Mountains of southwestern China. Mingyong Glacier has different climatic zones within a very narrow area, and bacterial community diversity in this low temperature area remains largely unknown. In this study, soil samples were collected from four different climatic zones M11A [dry warm valley], M14 [forest], M15 [grass land], and M16 [glacier zones]. Phylogenetic analysis based on 16S rRNA gene V6 hypervariable region showed high bacterial abundance in the glacier. The number of Operational Taxonomic Units ranged from 2.24×10[3] to 5.56×10[3] in soil samples. Statistical analysis of 16S rRNA gene clone libraries results showed that bacterial diversity in zones M11A, M14 and M16 are higher than in zone M15. The bacterial community structures are clearly distinguishable, and phylogenetic analysis showed that the predominant phyla were Proteobacteria, Deinococcus-Thermus, Firmicutes, Actinobacteria, and Nitrospirae in Mingyong Glacier. Seventy-nine different orders from four zones have been isolated. Bacterial diversity and distribution of bacterial communities related to the anthropogenic perturbations in zone [M15] were confirmed by diversity index analysis, and the diversity index of other three zones was satisfactory through this analysis software. The results suggest that bacterial diversity and distribution analyses using bacterial 16S rRNA gene V6 hypervariable region were successful, and bacterial communities in this area not only had the same bacterial phyla compared to other glaciers but also had their own rare species
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Index: IMEMR (Eastern Mediterranean) Language: English Journal: Pak. J. Pharm. Sci. Year: 2017

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Index: IMEMR (Eastern Mediterranean) Language: English Journal: Pak. J. Pharm. Sci. Year: 2017