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Annals of Microbiology

, Volume 65, Issue 2, pp 703–711 | Cite as

Composition and diversity of the bacterial community in snow leopard (Uncia uncia) distal gut

  • Honghai ZhangEmail author
  • Guangshuai Liu
  • Lei Chen
  • Weilai Sha
Original Article

Abstract

Intestinal microflora influences many essential metabolic functions, and is receiving increasing attention from the scientific community. However, information on intestinal microbiota, especially for large wild carnivores, is insufficient. In the present study, the bacterial community in the feces of snow leopards (Uncia uncia) was described based on 16S rRNA gene sequence analysis. A total of 339 near-full-length 16S rRNA gene sequences representing 46 non-redundant bacterial phylotypes (operational taxonomical units, OTUs) were identified in fecal samples from four healthy snow leopards. Four different bacterial phyla were identified: Firmicutes (56.5 %), Actinobacteria (17.5 %), Bacteroidetes (13 %), and Proteobacteria (13 %). The phylum Actinobacteria was the most abundant lineage, with 40.4 % of all identified clones, but Clostridiales, with 50 % of all OTUs, was the most diverse bacterial order. The order Clostridiales was affiliated with four families: Clostridiaceae I, Lachnospiraceae, Peptostreptococcaceae, and Ruminococcaceae. Lachnospiraceae was the most diverse family with 17 OTUs identified. These findings were basically consistent with previous reports on the bacterial diversity in feces from other mammals.

Keywords

Snow leopard (Uncia uncia16S rRNA gene Feces Bacterial diversity 

Notes

Acknowledgments

The research was supported financially by the following grants: the National Natural Science Fund of China (NO. 31172119), the National Natural Science Fund of China (NO. 31372220), the Natural Science Fund of Shandong Province of China (NO. ZR2011CM009) and the PhD Programs Foundation of Ministry of Education of China (NO, 20113705110001). We are grateful to the Xining Zoo of Qinghai for their great support in sample collecting.

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Copyright information

© Springer-Verlag Berlin Heidelberg and the University of Milan 2014

Authors and Affiliations

  • Honghai Zhang
    • 1
    Email author
  • Guangshuai Liu
    • 1
    • 2
  • Lei Chen
    • 1
  • Weilai Sha
    • 1
  1. 1.College of Life ScienceQufu Normal UniversityQufuChina
  2. 2.College of Wildlife ResourceNortheast Forestry UniversityHeilongjiangChina

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