Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control

Peste des petits ruminants (PPR) is a highly contagious and devastating viral disease affecting mainly sheep and goats, but also a large number of wild species within the order Artiodactyla. A better understanding of PPR transmission dynamics in multi-host systems is necessary to efficiently control the disease, in particular where wildlife and livestock co-occur. Notably, the role of wildlife in PPR epidemiology is still not clearly understood. Non-invasive strategies to detect PPR infection without the need for animal handling could greatly facilitate research on PPR epidemiology and management of the disease in atypical hosts and in complex field situations. Here, we describe optimized methods for the direct detection of PPR virus genetic material and antigen in fecal samples. We use these methods to determine the detection window of PPR in fecal samples, and compare the sensitivity of these methods to standard invasive sampling and PPR diagnostic methods using field samples collected at a wildlife-livestock interface in Africa. Our results show that quantitative reverse transcription PCR (RT-QPCR) amplification of PPRV from fecal swabs has good sensitivity in comparison to ocular swabs. Animals infected by PPRV could be identified relatively early on and during the whole course of infection based on fecal samples using RT-QPCR. Partial gene sequences could also be retrieved in some cases, from both fecal and ocular samples, providing important information about virus origin and relatedness to other PPRV strains. Non-invasive strategies for PPRV surveillance could provide important data to fill major gaps in our knowledge of the multi-host PPR epidemiology.

Saved in:
Bibliographic Details
Main Authors: Bataille, Arnaud, Kwiatek, Olivier, Belfkhi, Salima, Mounier, Lucile, Parida, Satya, Mahapatra, Mana, Caron, Alexandre, Chubwa, Chobi Clement, Keyyu, Julius, Kock, Richard, Jones, Bryony Anne, Libeau, Geneviève
Format: article biblioteca
Language:eng
Subjects:L73 - Maladies des animaux, peste des petits ruminants, Artiodactyla, faune, bétail, épidémiologie, Transcription inverse, fèces, http://aims.fao.org/aos/agrovoc/c_16789, http://aims.fao.org/aos/agrovoc/c_643, http://aims.fao.org/aos/agrovoc/c_2821, http://aims.fao.org/aos/agrovoc/c_4397, http://aims.fao.org/aos/agrovoc/c_2615, http://aims.fao.org/aos/agrovoc/c_35129, http://aims.fao.org/aos/agrovoc/c_2772, http://aims.fao.org/aos/agrovoc/c_7608,
Online Access:http://agritrop.cirad.fr/591824/
http://agritrop.cirad.fr/591824/1/Bataille_et_al-2019-Scientific_Reports.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-cirad-fr-591824
record_format koha
spelling dig-cirad-fr-5918242024-01-29T01:47:55Z http://agritrop.cirad.fr/591824/ http://agritrop.cirad.fr/591824/ Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control. Bataille Arnaud, Kwiatek Olivier, Belfkhi Salima, Mounier Lucile, Parida Satya, Mahapatra Mana, Caron Alexandre, Chubwa Chobi Clement, Keyyu Julius, Kock Richard, Jones Bryony Anne, Libeau Geneviève. 2019. Scientific Reports, 9:4742, 8 p.https://doi.org/10.1038/s41598-019-41232-y <https://doi.org/10.1038/s41598-019-41232-y> Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control Bataille, Arnaud Kwiatek, Olivier Belfkhi, Salima Mounier, Lucile Parida, Satya Mahapatra, Mana Caron, Alexandre Chubwa, Chobi Clement Keyyu, Julius Kock, Richard Jones, Bryony Anne Libeau, Geneviève eng 2019 Scientific Reports L73 - Maladies des animaux peste des petits ruminants Artiodactyla faune bétail épidémiologie Transcription inverse fèces http://aims.fao.org/aos/agrovoc/c_16789 http://aims.fao.org/aos/agrovoc/c_643 http://aims.fao.org/aos/agrovoc/c_2821 http://aims.fao.org/aos/agrovoc/c_4397 http://aims.fao.org/aos/agrovoc/c_2615 http://aims.fao.org/aos/agrovoc/c_35129 http://aims.fao.org/aos/agrovoc/c_2772 République-Unie de Tanzanie http://aims.fao.org/aos/agrovoc/c_7608 Peste des petits ruminants (PPR) is a highly contagious and devastating viral disease affecting mainly sheep and goats, but also a large number of wild species within the order Artiodactyla. A better understanding of PPR transmission dynamics in multi-host systems is necessary to efficiently control the disease, in particular where wildlife and livestock co-occur. Notably, the role of wildlife in PPR epidemiology is still not clearly understood. Non-invasive strategies to detect PPR infection without the need for animal handling could greatly facilitate research on PPR epidemiology and management of the disease in atypical hosts and in complex field situations. Here, we describe optimized methods for the direct detection of PPR virus genetic material and antigen in fecal samples. We use these methods to determine the detection window of PPR in fecal samples, and compare the sensitivity of these methods to standard invasive sampling and PPR diagnostic methods using field samples collected at a wildlife-livestock interface in Africa. Our results show that quantitative reverse transcription PCR (RT-QPCR) amplification of PPRV from fecal swabs has good sensitivity in comparison to ocular swabs. Animals infected by PPRV could be identified relatively early on and during the whole course of infection based on fecal samples using RT-QPCR. Partial gene sequences could also be retrieved in some cases, from both fecal and ocular samples, providing important information about virus origin and relatedness to other PPRV strains. Non-invasive strategies for PPRV surveillance could provide important data to fill major gaps in our knowledge of the multi-host PPR epidemiology. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/591824/1/Bataille_et_al-2019-Scientific_Reports.pdf text cc_by info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ https://doi.org/10.1038/s41598-019-41232-y 10.1038/s41598-019-41232-y info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-019-41232-y info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1038/s41598-019-41232-y
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic L73 - Maladies des animaux
peste des petits ruminants
Artiodactyla
faune
bétail
épidémiologie
Transcription inverse
fèces
http://aims.fao.org/aos/agrovoc/c_16789
http://aims.fao.org/aos/agrovoc/c_643
http://aims.fao.org/aos/agrovoc/c_2821
http://aims.fao.org/aos/agrovoc/c_4397
http://aims.fao.org/aos/agrovoc/c_2615
http://aims.fao.org/aos/agrovoc/c_35129
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_7608
L73 - Maladies des animaux
peste des petits ruminants
Artiodactyla
faune
bétail
épidémiologie
Transcription inverse
fèces
http://aims.fao.org/aos/agrovoc/c_16789
http://aims.fao.org/aos/agrovoc/c_643
http://aims.fao.org/aos/agrovoc/c_2821
http://aims.fao.org/aos/agrovoc/c_4397
http://aims.fao.org/aos/agrovoc/c_2615
http://aims.fao.org/aos/agrovoc/c_35129
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_7608
spellingShingle L73 - Maladies des animaux
peste des petits ruminants
Artiodactyla
faune
bétail
épidémiologie
Transcription inverse
fèces
http://aims.fao.org/aos/agrovoc/c_16789
http://aims.fao.org/aos/agrovoc/c_643
http://aims.fao.org/aos/agrovoc/c_2821
http://aims.fao.org/aos/agrovoc/c_4397
http://aims.fao.org/aos/agrovoc/c_2615
http://aims.fao.org/aos/agrovoc/c_35129
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_7608
L73 - Maladies des animaux
peste des petits ruminants
Artiodactyla
faune
bétail
épidémiologie
Transcription inverse
fèces
http://aims.fao.org/aos/agrovoc/c_16789
http://aims.fao.org/aos/agrovoc/c_643
http://aims.fao.org/aos/agrovoc/c_2821
http://aims.fao.org/aos/agrovoc/c_4397
http://aims.fao.org/aos/agrovoc/c_2615
http://aims.fao.org/aos/agrovoc/c_35129
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_7608
Bataille, Arnaud
Kwiatek, Olivier
Belfkhi, Salima
Mounier, Lucile
Parida, Satya
Mahapatra, Mana
Caron, Alexandre
Chubwa, Chobi Clement
Keyyu, Julius
Kock, Richard
Jones, Bryony Anne
Libeau, Geneviève
Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
description Peste des petits ruminants (PPR) is a highly contagious and devastating viral disease affecting mainly sheep and goats, but also a large number of wild species within the order Artiodactyla. A better understanding of PPR transmission dynamics in multi-host systems is necessary to efficiently control the disease, in particular where wildlife and livestock co-occur. Notably, the role of wildlife in PPR epidemiology is still not clearly understood. Non-invasive strategies to detect PPR infection without the need for animal handling could greatly facilitate research on PPR epidemiology and management of the disease in atypical hosts and in complex field situations. Here, we describe optimized methods for the direct detection of PPR virus genetic material and antigen in fecal samples. We use these methods to determine the detection window of PPR in fecal samples, and compare the sensitivity of these methods to standard invasive sampling and PPR diagnostic methods using field samples collected at a wildlife-livestock interface in Africa. Our results show that quantitative reverse transcription PCR (RT-QPCR) amplification of PPRV from fecal swabs has good sensitivity in comparison to ocular swabs. Animals infected by PPRV could be identified relatively early on and during the whole course of infection based on fecal samples using RT-QPCR. Partial gene sequences could also be retrieved in some cases, from both fecal and ocular samples, providing important information about virus origin and relatedness to other PPRV strains. Non-invasive strategies for PPRV surveillance could provide important data to fill major gaps in our knowledge of the multi-host PPR epidemiology.
format article
topic_facet L73 - Maladies des animaux
peste des petits ruminants
Artiodactyla
faune
bétail
épidémiologie
Transcription inverse
fèces
http://aims.fao.org/aos/agrovoc/c_16789
http://aims.fao.org/aos/agrovoc/c_643
http://aims.fao.org/aos/agrovoc/c_2821
http://aims.fao.org/aos/agrovoc/c_4397
http://aims.fao.org/aos/agrovoc/c_2615
http://aims.fao.org/aos/agrovoc/c_35129
http://aims.fao.org/aos/agrovoc/c_2772
http://aims.fao.org/aos/agrovoc/c_7608
author Bataille, Arnaud
Kwiatek, Olivier
Belfkhi, Salima
Mounier, Lucile
Parida, Satya
Mahapatra, Mana
Caron, Alexandre
Chubwa, Chobi Clement
Keyyu, Julius
Kock, Richard
Jones, Bryony Anne
Libeau, Geneviève
author_facet Bataille, Arnaud
Kwiatek, Olivier
Belfkhi, Salima
Mounier, Lucile
Parida, Satya
Mahapatra, Mana
Caron, Alexandre
Chubwa, Chobi Clement
Keyyu, Julius
Kock, Richard
Jones, Bryony Anne
Libeau, Geneviève
author_sort Bataille, Arnaud
title Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
title_short Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
title_full Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
title_fullStr Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
title_full_unstemmed Optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
title_sort optimization and evaluation of a non-invasive tool for peste des petits ruminants surveillance and control
url http://agritrop.cirad.fr/591824/
http://agritrop.cirad.fr/591824/1/Bataille_et_al-2019-Scientific_Reports.pdf
work_keys_str_mv AT bataillearnaud optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT kwiatekolivier optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT belfkhisalima optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT mounierlucile optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT paridasatya optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT mahapatramana optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT caronalexandre optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT chubwachobiclement optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT keyyujulius optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT kockrichard optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT jonesbryonyanne optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
AT libeaugenevieve optimizationandevaluationofanoninvasivetoolforpestedespetitsruminantssurveillanceandcontrol
_version_ 1792499691446861824