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Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR

There has been considerable interest in composition of gut microbiota in recent years, leading to a better understanding of the role the gut microbiota plays in health and disease. Most studies have been limited in their geographical and socioeconomic diversity to high-income settings, and have been...

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Autores principales: Greenhill, Andrew R., Tsuji, Hirokazu, Ogata, Kiyohito, Natsuhara, Kazumi, Morita, Ayako, Soli, Kevin, Larkins, Jo-Ann, Tadokoro, Kiyoshi, Odani, Shingo, Baba, Jun, Naito, Yuichi, Tomitsuka, Eriko, Nomoto, Koji, Siba, Peter M., Horwood, Paul F., Umezaki, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319852/
https://www.ncbi.nlm.nih.gov/pubmed/25658868
http://dx.doi.org/10.1371/journal.pone.0117427
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author Greenhill, Andrew R.
Tsuji, Hirokazu
Ogata, Kiyohito
Natsuhara, Kazumi
Morita, Ayako
Soli, Kevin
Larkins, Jo-Ann
Tadokoro, Kiyoshi
Odani, Shingo
Baba, Jun
Naito, Yuichi
Tomitsuka, Eriko
Nomoto, Koji
Siba, Peter M.
Horwood, Paul F.
Umezaki, Masahiro
author_facet Greenhill, Andrew R.
Tsuji, Hirokazu
Ogata, Kiyohito
Natsuhara, Kazumi
Morita, Ayako
Soli, Kevin
Larkins, Jo-Ann
Tadokoro, Kiyoshi
Odani, Shingo
Baba, Jun
Naito, Yuichi
Tomitsuka, Eriko
Nomoto, Koji
Siba, Peter M.
Horwood, Paul F.
Umezaki, Masahiro
author_sort Greenhill, Andrew R.
collection PubMed
description There has been considerable interest in composition of gut microbiota in recent years, leading to a better understanding of the role the gut microbiota plays in health and disease. Most studies have been limited in their geographical and socioeconomic diversity to high-income settings, and have been conducted using small sample sizes. To date, few analyses have been conducted in low-income settings, where a better understanding of the gut microbiome could lead to the greatest return in terms of health benefits. Here, we have used quantitative real-time polymerase chain reaction targeting dominant and sub-dominant groups of microorganisms associated with human gut microbiome in 115 people living a subsistence lifestyle in rural areas of Papua New Guinea. Quantification of Clostridium coccoides group, C. leptum subgroup, C. perfringens, Bacteroides fragilis group, Bifidobacterium, Atopobium cluster, Prevotella, Enterobacteriaceae, Enterococcus, Staphylococcus, and Lactobacillus spp. was conducted. Principle coordinates analysis (PCoA) revealed two dimensions with Prevotella, clostridia, Atopobium, Enterobacteriaceae, Enterococcus and Staphylococcus grouping in one dimension, while B. fragilis, Bifidobacterium and Lactobacillus grouping in the second dimension. Highland people had higher numbers of most groups of bacteria detected, and this is likely a key factor for the differences revealed by PCoA between highland and lowland study participants. Age and sex were not major determinants in microbial population composition. The study demonstrates a gut microbial composition with some similarities to those observed in other low-income settings where traditional diets are consumed, which have previously been suggested to favor energy extraction from a carbohydrate rich diet.
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spelling pubmed-43198522015-02-18 Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR Greenhill, Andrew R. Tsuji, Hirokazu Ogata, Kiyohito Natsuhara, Kazumi Morita, Ayako Soli, Kevin Larkins, Jo-Ann Tadokoro, Kiyoshi Odani, Shingo Baba, Jun Naito, Yuichi Tomitsuka, Eriko Nomoto, Koji Siba, Peter M. Horwood, Paul F. Umezaki, Masahiro PLoS One Research Article There has been considerable interest in composition of gut microbiota in recent years, leading to a better understanding of the role the gut microbiota plays in health and disease. Most studies have been limited in their geographical and socioeconomic diversity to high-income settings, and have been conducted using small sample sizes. To date, few analyses have been conducted in low-income settings, where a better understanding of the gut microbiome could lead to the greatest return in terms of health benefits. Here, we have used quantitative real-time polymerase chain reaction targeting dominant and sub-dominant groups of microorganisms associated with human gut microbiome in 115 people living a subsistence lifestyle in rural areas of Papua New Guinea. Quantification of Clostridium coccoides group, C. leptum subgroup, C. perfringens, Bacteroides fragilis group, Bifidobacterium, Atopobium cluster, Prevotella, Enterobacteriaceae, Enterococcus, Staphylococcus, and Lactobacillus spp. was conducted. Principle coordinates analysis (PCoA) revealed two dimensions with Prevotella, clostridia, Atopobium, Enterobacteriaceae, Enterococcus and Staphylococcus grouping in one dimension, while B. fragilis, Bifidobacterium and Lactobacillus grouping in the second dimension. Highland people had higher numbers of most groups of bacteria detected, and this is likely a key factor for the differences revealed by PCoA between highland and lowland study participants. Age and sex were not major determinants in microbial population composition. The study demonstrates a gut microbial composition with some similarities to those observed in other low-income settings where traditional diets are consumed, which have previously been suggested to favor energy extraction from a carbohydrate rich diet. Public Library of Science 2015-02-06 /pmc/articles/PMC4319852/ /pubmed/25658868 http://dx.doi.org/10.1371/journal.pone.0117427 Text en © 2015 Greenhill et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Greenhill, Andrew R.
Tsuji, Hirokazu
Ogata, Kiyohito
Natsuhara, Kazumi
Morita, Ayako
Soli, Kevin
Larkins, Jo-Ann
Tadokoro, Kiyoshi
Odani, Shingo
Baba, Jun
Naito, Yuichi
Tomitsuka, Eriko
Nomoto, Koji
Siba, Peter M.
Horwood, Paul F.
Umezaki, Masahiro
Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title_full Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title_fullStr Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title_full_unstemmed Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title_short Characterization of the Gut Microbiota of Papua New Guineans Using Reverse Transcription Quantitative PCR
title_sort characterization of the gut microbiota of papua new guineans using reverse transcription quantitative pcr
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4319852/
https://www.ncbi.nlm.nih.gov/pubmed/25658868
http://dx.doi.org/10.1371/journal.pone.0117427
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