Literature DB >> 26423781

First report on the bacterial diversity in the distal gut of dholes (Cuon alpinus) by using 16S rRNA gene sequences analysis.

Lei Chen1, Honghai Zhang2, Guangshuai Liu1, Weilai Sha1.   

Abstract

The aim of this study was to investigate the bacterial community in the distal gut of dholes (Cuon alpinus) based on the analysis of bacterial 16S rRNA gene sequences. Fecal samples were collected from five healthy unrelated dholes captured from Qilian Mountain in Gansu province of China. The diversity of the fecal bacteria community was investigated by constructing a polymerase chain reaction (PCR)-amplified 16S rRNA gene clone library. Bacterial 16S rRNA gene was amplified by using universal bacterial primers 27F and 1492R. A total of 275 chimera-free near full length 16S rRNA gene sequences were collected, and 78 non-redundant bacteria phylotypes (operational taxonomical units, OTUs) were identified according to the 97 % sequence similarity. Forty-two OTUs (53.8 %) showed less than 98 % sequence similarity to 16S rRNA gene sequences reported previously. Phylogenetic analysis demonstrated that dhole bacterial community comprised five different phyla, with the majority of sequences being classified within the phylum Bacteroidetes (64.7 %), followed by Firmicutes (29.8 %), Fusobacteria (4.7 %),Proteobacteria (0.4 %), and Actinobacteria (0.4 %). The only order Bacteroidales in phylum Bacteroidetes was the most abundant bacterial group in the intestinal bacterial community of dholes. Firmicutes and Bacteroidetes were the two most diverse bacterial phyla with 46.2 and 44.9 % of OTUs contained, respectively. Bacteroidales and Clostridiales were the two most diverse bacterial orders that contained 44.9 and 39.7 % of OTUs, respectively.

Entities:  

Keywords:  16S rRNA gene; Intestinal bacterial diversity; Phylogenetic analysis; dhole (Cuon alpinus)

Mesh:

Substances:

Year:  2015        PMID: 26423781     DOI: 10.1007/s13353-015-0319-0

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


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