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Article: Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
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TitleGene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
 
AuthorsTun, HM2
Brar, MS2
Khin, N
Jun, L2
Hui, RKH2
Dowd, SE1
Leung, FCC2
 
KeywordsFeline intestinal microbiome
Metagenomics
Pyrosequencing
Zoonotic pathogens
 
Issue Date2012
 
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jmicmeth
 
CitationJournal Of Microbiological Methods, 2012, v. 88 n. 3, p. 369-376 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.mimet.2012.01.001
 
AbstractThe feline gastrointestinal microbiota have direct influence on feline health and also human health as a reservoir for potential zoonotic pathogens and antibiotic resistant bacterial strains. In order to describe the feline gastrointestinal microbial diversity, fecal samples from cats have been characterized using both culture-dependent and culture-independent methods. However, data correlating total microbial composition and their functions are lacking. Present descriptive study evaluated both phylogenetic and metabolic diversity of the feline intestinal microbiota using GS Junior titanium shotgun pyrosequencing. A total of 152,494 pyrosequencing reads (5405 assembled contigs) were generated and classified into both phylogenetic and metabolic profiles of the feline intestinal microbiota. The Bacteroides/Chlorobi group was the most predominant bacterial phylum comprising ~. 68% of total classified diversity, followed by Firmicutes (~. 13%) and Proteobacteria (~. 6%) respectively. Archaea, fungi and viruses made up the minor communities in the overall microbial diversity. Interestingly, this study also identified a range of potential enteric zoonotic pathogens (0.02-1.25%) and genes involved in antimicrobial resistance (0.02-0.7%) in feline fecal materials. Based on clustering among nine gastrointestinal metagenomes from five different monogastric hosts (dog, human, mice, cat and chicken), the cat metagenome clustered closely together with chicken in both phylogenetic and metabolic level (> 80%). Future studies are required to provide deeper understandings on both intrinsic and extrinsic effects such as impact of age, genetics and dietary interventions on the composition of the feline gastrointestinal microbiome. © 2012 Elsevier B.V.
 
ISSN0167-7012
2013 Impact Factor: 2.096
2013 SCImago Journal Rankings: 0.955
 
DOIhttp://dx.doi.org/10.1016/j.mimet.2012.01.001
 
ISI Accession Number IDWOS:000302666000005
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorTun, HM
 
dc.contributor.authorBrar, MS
 
dc.contributor.authorKhin, N
 
dc.contributor.authorJun, L
 
dc.contributor.authorHui, RKH
 
dc.contributor.authorDowd, SE
 
dc.contributor.authorLeung, FCC
 
dc.date.accessioned2012-03-27T09:07:33Z
 
dc.date.available2012-03-27T09:07:33Z
 
dc.date.issued2012
 
dc.description.abstractThe feline gastrointestinal microbiota have direct influence on feline health and also human health as a reservoir for potential zoonotic pathogens and antibiotic resistant bacterial strains. In order to describe the feline gastrointestinal microbial diversity, fecal samples from cats have been characterized using both culture-dependent and culture-independent methods. However, data correlating total microbial composition and their functions are lacking. Present descriptive study evaluated both phylogenetic and metabolic diversity of the feline intestinal microbiota using GS Junior titanium shotgun pyrosequencing. A total of 152,494 pyrosequencing reads (5405 assembled contigs) were generated and classified into both phylogenetic and metabolic profiles of the feline intestinal microbiota. The Bacteroides/Chlorobi group was the most predominant bacterial phylum comprising ~. 68% of total classified diversity, followed by Firmicutes (~. 13%) and Proteobacteria (~. 6%) respectively. Archaea, fungi and viruses made up the minor communities in the overall microbial diversity. Interestingly, this study also identified a range of potential enteric zoonotic pathogens (0.02-1.25%) and genes involved in antimicrobial resistance (0.02-0.7%) in feline fecal materials. Based on clustering among nine gastrointestinal metagenomes from five different monogastric hosts (dog, human, mice, cat and chicken), the cat metagenome clustered closely together with chicken in both phylogenetic and metabolic level (> 80%). Future studies are required to provide deeper understandings on both intrinsic and extrinsic effects such as impact of age, genetics and dietary interventions on the composition of the feline gastrointestinal microbiome. © 2012 Elsevier B.V.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.identifier.citationJournal Of Microbiological Methods, 2012, v. 88 n. 3, p. 369-376 [How to Cite?]
DOI: http://dx.doi.org/10.1016/j.mimet.2012.01.001
 
dc.identifier.citeulike10252759
 
dc.identifier.doihttp://dx.doi.org/10.1016/j.mimet.2012.01.001
 
dc.identifier.epage376
 
dc.identifier.hkuros199088
 
dc.identifier.isiWOS:000302666000005
 
dc.identifier.issn0167-7012
2013 Impact Factor: 2.096
2013 SCImago Journal Rankings: 0.955
 
dc.identifier.issue3
 
dc.identifier.pmid22265636
 
dc.identifier.scopuseid_2-s2.0-84857238169
 
dc.identifier.spage369
 
dc.identifier.urihttp://hdl.handle.net/10722/146039
 
dc.identifier.volume88
 
dc.languageeng
 
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/jmicmeth
 
dc.publisher.placeNetherlands
 
dc.relation.ispartofJournal of Microbiological Methods
 
dc.relation.referencesReferences in Scopus
 
dc.subjectFeline intestinal microbiome
 
dc.subjectMetagenomics
 
dc.subjectPyrosequencing
 
dc.subjectZoonotic pathogens
 
dc.titleGene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
 
dc.typeArticle
 
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Author Affiliations
  1. Research and Testing Laboratory
  2. The University of Hong Kong