Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.

Salmonella is an important human pathogen and poultry products constitute an important source of human infections. This study investigated prevalence; identified serotypes based on whole genome sequence, described spatial distribution of Salmonella serotypes and predicted risk factors that could inf...

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Main Authors: Abdurrahman Hassan Jibril, Iruka N Okeke, Anders Dalsgaard, Egle Kudirkiene, Olabisi Comfort Akinlabi, Muhammad Bashir Bello, John Elmerdahl Olsen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2020-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0238190
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spelling doaj-7bc68b0988dd4b0fb0b644690c8bc4512021-03-12T05:31:52ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01159e023819010.1371/journal.pone.0238190Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.Abdurrahman Hassan JibrilIruka N OkekeAnders DalsgaardEgle KudirkieneOlabisi Comfort AkinlabiMuhammad Bashir BelloJohn Elmerdahl OlsenJohn Elmerdahl OlsenSalmonella is an important human pathogen and poultry products constitute an important source of human infections. This study investigated prevalence; identified serotypes based on whole genome sequence, described spatial distribution of Salmonella serotypes and predicted risk factors that could influence the prevalence of Salmonella infection in commercial poultry farms in Nigeria. A cross sectional approach was employed to collect 558 pooled shoe socks and dust samples from 165 commercial poultry farms in North West Nigeria. On-farm visitation questionnaires were administered to obtain information on farm management practices in order to assess risk factors for Salmonella prevalence. Salmonella was identified by culture, biotyping, serology and polymerase chain reaction (PCR). PCR confirmed isolates were paired-end Illumina- sequenced. Following de novo genome assembly, draft genomes were used to obtain serotypes by SeqSero2 and SISTR pipeline and sequence types by SISTR and Enterobase. Risk factor analysis was performed using the logit model. A farm prevalence of 47.9% (CI95 [40.3-55.5]) for Salmonella was observed, with a sample level prevalence of 15.9% (CI95 [12.9-18.9]). Twenty-three different serotypes were identified, with S. Kentucky and S. Isangi as the most prevalent (32.9% and 11%). Serotypes showed some geographic variation. Salmonella detection was strongly associated with disposal of poultry waste and with presence of other livestock on the farm. Salmonella was commonly detected on commercial poultry farms in North West Nigeria and S. Kentucky was found to be ubiquitous in the farms.https://doi.org/10.1371/journal.pone.0238190
collection DOAJ
language English
format Article
sources DOAJ
author Abdurrahman Hassan Jibril
Iruka N Okeke
Anders Dalsgaard
Egle Kudirkiene
Olabisi Comfort Akinlabi
Muhammad Bashir Bello
John Elmerdahl Olsen
John Elmerdahl Olsen
spellingShingle Abdurrahman Hassan Jibril
Iruka N Okeke
Anders Dalsgaard
Egle Kudirkiene
Olabisi Comfort Akinlabi
Muhammad Bashir Bello
John Elmerdahl Olsen
John Elmerdahl Olsen
Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
PLoS ONE
author_facet Abdurrahman Hassan Jibril
Iruka N Okeke
Anders Dalsgaard
Egle Kudirkiene
Olabisi Comfort Akinlabi
Muhammad Bashir Bello
John Elmerdahl Olsen
John Elmerdahl Olsen
author_sort Abdurrahman Hassan Jibril
title Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
title_short Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
title_full Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
title_fullStr Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
title_full_unstemmed Prevalence and risk factors of Salmonella in commercial poultry farms in Nigeria.
title_sort prevalence and risk factors of salmonella in commercial poultry farms in nigeria.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2020-01-01
description Salmonella is an important human pathogen and poultry products constitute an important source of human infections. This study investigated prevalence; identified serotypes based on whole genome sequence, described spatial distribution of Salmonella serotypes and predicted risk factors that could influence the prevalence of Salmonella infection in commercial poultry farms in Nigeria. A cross sectional approach was employed to collect 558 pooled shoe socks and dust samples from 165 commercial poultry farms in North West Nigeria. On-farm visitation questionnaires were administered to obtain information on farm management practices in order to assess risk factors for Salmonella prevalence. Salmonella was identified by culture, biotyping, serology and polymerase chain reaction (PCR). PCR confirmed isolates were paired-end Illumina- sequenced. Following de novo genome assembly, draft genomes were used to obtain serotypes by SeqSero2 and SISTR pipeline and sequence types by SISTR and Enterobase. Risk factor analysis was performed using the logit model. A farm prevalence of 47.9% (CI95 [40.3-55.5]) for Salmonella was observed, with a sample level prevalence of 15.9% (CI95 [12.9-18.9]). Twenty-three different serotypes were identified, with S. Kentucky and S. Isangi as the most prevalent (32.9% and 11%). Serotypes showed some geographic variation. Salmonella detection was strongly associated with disposal of poultry waste and with presence of other livestock on the farm. Salmonella was commonly detected on commercial poultry farms in North West Nigeria and S. Kentucky was found to be ubiquitous in the farms.
url https://doi.org/10.1371/journal.pone.0238190
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