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Salmonella serovars and their distribution in Nigerian commercial chicken layer farms

Commercial poultry farms (n° 523), located in all the six regions of Nigeria were sampled with a view to generate baseline information about the distribution of Salmonella serovars in this country. Five different matrices (litter, dust, faeces, feed and water) were collected from each visited farm....

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Autores principales: Fagbamila, Idowu Oluwabunmi, Barco, Lisa, Mancin, Marzia, Kwaga, Jacob, Ngulukun, Sati Samuel, Zavagnin, Paola, Lettini, Antonia Anna, Lorenzetto, Monica, Abdu, Paul Ayuba, Kabir, Junaidu, Umoh, Jarlath, Ricci, Antonia, Muhammad, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344354/
https://www.ncbi.nlm.nih.gov/pubmed/28278292
http://dx.doi.org/10.1371/journal.pone.0173097
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author Fagbamila, Idowu Oluwabunmi
Barco, Lisa
Mancin, Marzia
Kwaga, Jacob
Ngulukun, Sati Samuel
Zavagnin, Paola
Lettini, Antonia Anna
Lorenzetto, Monica
Abdu, Paul Ayuba
Kabir, Junaidu
Umoh, Jarlath
Ricci, Antonia
Muhammad, Maryam
author_facet Fagbamila, Idowu Oluwabunmi
Barco, Lisa
Mancin, Marzia
Kwaga, Jacob
Ngulukun, Sati Samuel
Zavagnin, Paola
Lettini, Antonia Anna
Lorenzetto, Monica
Abdu, Paul Ayuba
Kabir, Junaidu
Umoh, Jarlath
Ricci, Antonia
Muhammad, Maryam
author_sort Fagbamila, Idowu Oluwabunmi
collection PubMed
description Commercial poultry farms (n° 523), located in all the six regions of Nigeria were sampled with a view to generate baseline information about the distribution of Salmonella serovars in this country. Five different matrices (litter, dust, faeces, feed and water) were collected from each visited farm. Salmonella was isolated from at least one of the five matrices in 228 farms, with a farm prevalence of 43.6% (CI(95)[39.7–48.3%]). Altogether, 370 of 2615 samples collected (14.1%, CI(95)[12.8; 15.5%]) contained Salmonella. Considering the number of positive farms and the number of positive samples, it was evident that for the majority of the sampled farms, few samples were positive for Salmonella. With regard to the matrices, there was no difference in Salmonella prevalence among the five matrices considered. Of the 370 isolates serotyped, eighty-two different serotypes were identified and Salmonella Kentucky was identified as having the highest isolation rate in all the matrices sampled (16.2%), followed by S. Poona and S. Elisabethville. S. Kentucky was distributed across the country, whereas the other less frequent serovars had a more circumscribed diffusion. This is one of few comprehensive studies on the occurrence and distribution of Salmonella in commercial chicken layer farms from all the six regions of Nigeria. The relatively high prevalence rate documented in this study may be attributed to the generally poor infrastructure and low biosecurity measures in controlling stray animals, rodents and humans. Data collected could be valuable for instituting effective intervention strategies for Salmonella control in Nigeria and also in other developing countries with a similar poultry industry structure, with the final aim of reducing Salmonella spread in animals and ultimately in humans.
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spelling pubmed-53443542017-03-29 Salmonella serovars and their distribution in Nigerian commercial chicken layer farms Fagbamila, Idowu Oluwabunmi Barco, Lisa Mancin, Marzia Kwaga, Jacob Ngulukun, Sati Samuel Zavagnin, Paola Lettini, Antonia Anna Lorenzetto, Monica Abdu, Paul Ayuba Kabir, Junaidu Umoh, Jarlath Ricci, Antonia Muhammad, Maryam PLoS One Research Article Commercial poultry farms (n° 523), located in all the six regions of Nigeria were sampled with a view to generate baseline information about the distribution of Salmonella serovars in this country. Five different matrices (litter, dust, faeces, feed and water) were collected from each visited farm. Salmonella was isolated from at least one of the five matrices in 228 farms, with a farm prevalence of 43.6% (CI(95)[39.7–48.3%]). Altogether, 370 of 2615 samples collected (14.1%, CI(95)[12.8; 15.5%]) contained Salmonella. Considering the number of positive farms and the number of positive samples, it was evident that for the majority of the sampled farms, few samples were positive for Salmonella. With regard to the matrices, there was no difference in Salmonella prevalence among the five matrices considered. Of the 370 isolates serotyped, eighty-two different serotypes were identified and Salmonella Kentucky was identified as having the highest isolation rate in all the matrices sampled (16.2%), followed by S. Poona and S. Elisabethville. S. Kentucky was distributed across the country, whereas the other less frequent serovars had a more circumscribed diffusion. This is one of few comprehensive studies on the occurrence and distribution of Salmonella in commercial chicken layer farms from all the six regions of Nigeria. The relatively high prevalence rate documented in this study may be attributed to the generally poor infrastructure and low biosecurity measures in controlling stray animals, rodents and humans. Data collected could be valuable for instituting effective intervention strategies for Salmonella control in Nigeria and also in other developing countries with a similar poultry industry structure, with the final aim of reducing Salmonella spread in animals and ultimately in humans. Public Library of Science 2017-03-09 /pmc/articles/PMC5344354/ /pubmed/28278292 http://dx.doi.org/10.1371/journal.pone.0173097 Text en © 2017 Fagbamila 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fagbamila, Idowu Oluwabunmi
Barco, Lisa
Mancin, Marzia
Kwaga, Jacob
Ngulukun, Sati Samuel
Zavagnin, Paola
Lettini, Antonia Anna
Lorenzetto, Monica
Abdu, Paul Ayuba
Kabir, Junaidu
Umoh, Jarlath
Ricci, Antonia
Muhammad, Maryam
Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title_full Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title_fullStr Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title_full_unstemmed Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title_short Salmonella serovars and their distribution in Nigerian commercial chicken layer farms
title_sort salmonella serovars and their distribution in nigerian commercial chicken layer farms
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344354/
https://www.ncbi.nlm.nih.gov/pubmed/28278292
http://dx.doi.org/10.1371/journal.pone.0173097
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