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Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing

The 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 char...

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Autores principales: Tun, Hein Min, Brar, Manreetpal Singh, Khin, Nina, Jun, Li, Hui, Raymond Kin-Hi, Dowd, Scot E., Leung, Frederick Chi-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114314/
https://www.ncbi.nlm.nih.gov/pubmed/22265636
http://dx.doi.org/10.1016/j.mimet.2012.01.001
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author Tun, Hein Min
Brar, Manreetpal Singh
Khin, Nina
Jun, Li
Hui, Raymond Kin-Hi
Dowd, Scot E.
Leung, Frederick Chi-Ching
author_facet Tun, Hein Min
Brar, Manreetpal Singh
Khin, Nina
Jun, Li
Hui, Raymond Kin-Hi
Dowd, Scot E.
Leung, Frederick Chi-Ching
author_sort Tun, Hein Min
collection PubMed
description The 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.
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spelling pubmed-71143142020-04-02 Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing Tun, Hein Min Brar, Manreetpal Singh Khin, Nina Jun, Li Hui, Raymond Kin-Hi Dowd, Scot E. Leung, Frederick Chi-Ching J Microbiol Methods Article The 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. Elsevier B.V. 2012-03 2012-01-12 /pmc/articles/PMC7114314/ /pubmed/22265636 http://dx.doi.org/10.1016/j.mimet.2012.01.001 Text en Copyright © 2012 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Tun, Hein Min
Brar, Manreetpal Singh
Khin, Nina
Jun, Li
Hui, Raymond Kin-Hi
Dowd, Scot E.
Leung, Frederick Chi-Ching
Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title_full Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title_fullStr Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title_full_unstemmed Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title_short Gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
title_sort gene-centric metagenomics analysis of feline intestinal microbiome using 454 junior pyrosequencing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7114314/
https://www.ncbi.nlm.nih.gov/pubmed/22265636
http://dx.doi.org/10.1016/j.mimet.2012.01.001
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