Age-related differences in the respiratory microbiota of chickens.

In this era of next generation sequencing technologies it is now possible to characterise the chicken respiratory microbiota without the biases inherent to traditional culturing techniques. However, little research has been performed in this area. In this study we characterise and compare buccal, na...

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Main Authors: Laura Glendinning, Gerry McLachlan, Lonneke Vervelde
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0188455
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spelling doaj-9fd05c7a23cf4d6087c13d46167895b32021-03-04T12:40:53ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-011211e018845510.1371/journal.pone.0188455Age-related differences in the respiratory microbiota of chickens.Laura GlendinningGerry McLachlanLonneke VerveldeIn this era of next generation sequencing technologies it is now possible to characterise the chicken respiratory microbiota without the biases inherent to traditional culturing techniques. However, little research has been performed in this area. In this study we characterise and compare buccal, nasal and lung microbiota samples from chickens in three different age groups using 16S rRNA gene analysis. Buccal and nasal swabs were taken from birds aged 2 days (n = 5), 3 weeks (n = 5) and 30 months (n = 6). Bronchoalveolar lavage (BAL) samples were also collected alongside reagent only controls. DNA was extracted from these samples and the V2-V3 region of the 16S rRNA gene was amplified and sequenced. Quality control and OTU clustering were performed in mothur. Bacterial DNA was quantified using qPCR, amplifying the V3 region of the 16S rRNA gene. We found significant differences between the quantity and types of bacteria sampled at the three different respiratory sites. We also found significant differences in the composition, richness and diversity of the bacterial communities in buccal, nasal and BAL fluid samples between age groups. We identified several bacteria which had previously been isolated from the chicken respiratory tract in culture based studies, including lactobacilli and staphylococci. However, we also identified bacteria which have not previously been cultured from the respiratory tract of the healthy chicken. We conclude that our study can be used as a baseline that future chicken respiratory microbiota studies can build upon.https://doi.org/10.1371/journal.pone.0188455
collection DOAJ
language English
format Article
sources DOAJ
author Laura Glendinning
Gerry McLachlan
Lonneke Vervelde
spellingShingle Laura Glendinning
Gerry McLachlan
Lonneke Vervelde
Age-related differences in the respiratory microbiota of chickens.
PLoS ONE
author_facet Laura Glendinning
Gerry McLachlan
Lonneke Vervelde
author_sort Laura Glendinning
title Age-related differences in the respiratory microbiota of chickens.
title_short Age-related differences in the respiratory microbiota of chickens.
title_full Age-related differences in the respiratory microbiota of chickens.
title_fullStr Age-related differences in the respiratory microbiota of chickens.
title_full_unstemmed Age-related differences in the respiratory microbiota of chickens.
title_sort age-related differences in the respiratory microbiota of chickens.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description In this era of next generation sequencing technologies it is now possible to characterise the chicken respiratory microbiota without the biases inherent to traditional culturing techniques. However, little research has been performed in this area. In this study we characterise and compare buccal, nasal and lung microbiota samples from chickens in three different age groups using 16S rRNA gene analysis. Buccal and nasal swabs were taken from birds aged 2 days (n = 5), 3 weeks (n = 5) and 30 months (n = 6). Bronchoalveolar lavage (BAL) samples were also collected alongside reagent only controls. DNA was extracted from these samples and the V2-V3 region of the 16S rRNA gene was amplified and sequenced. Quality control and OTU clustering were performed in mothur. Bacterial DNA was quantified using qPCR, amplifying the V3 region of the 16S rRNA gene. We found significant differences between the quantity and types of bacteria sampled at the three different respiratory sites. We also found significant differences in the composition, richness and diversity of the bacterial communities in buccal, nasal and BAL fluid samples between age groups. We identified several bacteria which had previously been isolated from the chicken respiratory tract in culture based studies, including lactobacilli and staphylococci. However, we also identified bacteria which have not previously been cultured from the respiratory tract of the healthy chicken. We conclude that our study can be used as a baseline that future chicken respiratory microbiota studies can build upon.
url https://doi.org/10.1371/journal.pone.0188455
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