論文

査読有り
2013年

Population Abundance of Potentially Pathogenic Organisms in Intestinal Microbiome of Jungle Crow (Corvus macrorhynchos) Shown with 16S rRNA Gene-Based Microbial Community Analysis

BIOMED RESEARCH INTERNATIONAL
  • Isamu Maeda
  • ,
  • Mohammad Shohel Rana Siddiki
  • ,
  • Tsutomu Nozawa-Takeda
  • ,
  • Naoki Tsukahara
  • ,
  • Yuri Tani
  • ,
  • Taki Naito
  • ,
  • Shoei Sugita

2013
開始ページ
438956
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1155/2013/438956
出版者・発行元
HINDAWI PUBLISHING CORPORATION

Jungle Crows (Corvus macrorhynchos) prefer human habitats because of their versatility in feeding accompanied with human food consumption. Therefore, it is important from a public health viewpoint to characterize their intestinal microbiota. However, no studies have been involved in molecular characterization of the microbiota based on huge and reliable number of data acquisition. In this study, 16S rRNA gene-based microbial community analysis coupled with the next-generation DNA sequencing techniques was applied to the taxonomic classification of intestinal microbiome for three jungle crows. Clustering of the reads into 130 operational taxonomic units showed that at least 70% of analyzed sequences for each crow were highly homologous to Eimeria sp., which belongs to the protozoan phylum Apicomplexa. The microbiotas of three crows also contained potentially pathogenic bacteria with significant percentages, such as the genera Campylobacter and Brachyspira. Thus, the profiling of a large number of 16S rRNA gene sequences in crow intestinal microbiomes revealed the high-frequency existence or vestige of potentially pathogenic microorganisms.

リンク情報
DOI
https://doi.org/10.1155/2013/438956
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/24058905
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000324112000001&DestApp=WOS_CPL
ID情報
  • DOI : 10.1155/2013/438956
  • ISSN : 2314-6133
  • PubMed ID : 24058905
  • Web of Science ID : WOS:000324112000001

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