Regional evolutionary dynamics of peste
des petits ruminants virus in West Africa:
influence of livestock trade
Arnaud Bataille Cirad-INRA
Unit for Control of Emerging and Exotic Animal Diseases Montpellier, France P . Dugu é © Ci rad
Peste des Petits Ruminants (PPR)
Most widespread and devastating infectious disease of
domestic small ruminants (goats, sheep)
Camels and some wild ruminants also susceptible
High economic impact and food security threat
New target for global eradication (FAO/OIE, 2015)
1940-55 1972-89 1990-2010 2011-14 pictures: H. Salami Georgia 2016
Peste des Petits Ruminants virus (PPRV)
Envelopped, single-stranded negative-sense RNA virus
(genus Morbillivirus)
~16kb genome coding for 6 structural and 2 non-structural
proteins
Four distinct phylogenetic lineages
Lineage IV spreading from Asia to Africa, L-II replacing L-I
Lineage I Lineage II Lineage III Lineage IV
figure: Libeau et al. (2014)
PPRV phylodynamics and livestock trade
PPR transmission and spread linked to livestock trade
Need for better understanding of regional virus
transmission dynamics for efficient control and eradication
Can virus phylodynamics be correlated to animal trade?
?
Small ruminant market trade network in Mauritania and Senegal
figure: Baron et al. (2016)
PPRV endemic transmission in West Africa
Sampling of PPRV in Senegal (N=41) and neighbouring
countries (N=14) in 2010-2014 Mauritania Mali Senegal Guinea 2 7 3 2 2 6 3 2 2 2 2 2 N Positive sample N positive samples Louga Matam Tambacounda Kédougou Kolda Kaolack Fatick Thiès Dakar
PPRV lineage II (PPRV-II) in West Africa
Sequencing of 255bp of N gene: 54/55 samples of PPRV-II
One sample of lineage I obtained in Mali ( )
Lineage I Lineage II Lineage III Lineage IV Our samples
Maximum Likelihood tree (<50% bootstrap support)
PPRV lineage II (PPRV-II) in West Africa
Senegal* Guinea* Mauritania* Mali* Sierra Leone Benin (*samples from this study) Burkina F./Mali*/Iv. C. Ghana/Nigeria/Benin Nigeria-Benin (1969-75) Ghana-Nigeria (1976-78) Maximum Likelihood tree (<50%bootstrap support)
Phylogeny of PPRV-II based on N gene (255bp)
• Highly informative
• Complex phylogeny with
multiple clusters
• Mali and Benin with highest
diversity
Transmission dynamics of PPRV-II
PPRV-II phylogeny (N and H genes) in Senegal and
neighbours to identify of transmission clusters
Louga Matam Tambacounda Kedougou Kolda Kaolack Fatick Thiès Dakar Mekhe Joal Mali 2014
Maximum Likelihood tree (<50% bootstrap support) Ma Da Ta Da Da Lo Fa Da Jo Th Th Fa Me Ma Da Me Fa Ta Ka Ka Ka Ta Ma Ko/Ta Ma Ke Ke Th Ko Ko Da Me Clu1 Clu2 Clu3 Clu4 Clu5 Clu6 Clu7 Guinée 2013 Mauritanie 2012
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu1 Figure: Cesaro et al., 2010
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu4
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu3 Figure: Cesaro et al., 2010
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu5
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu6
Association with animal trade
Market importance Type
Transboundary Local Regional hub Intermediary Consumption Flow importance Clu7
Quantitative data on animal movement (from national veterinary services) translated to Social Network Data
Linear models: genetic distance ~ geo distance +
environmental variables + SNA
Animal movement
Goat density
Conclusions
Lineage II predominant, but lineage I circulating in Mali
Complex phylogeography of lineage II retrieved with short
N gene sequences
Phylogenetic analyses of PPRV-II confirm frequent
movement of virus within Senegal and across countries
Movements follow patterns of livestock trade, including
those associated with transhumance
Quantitative analysis of genetic and trade data could
provide guidance on important targets for control and eradication effort
Acknowledgements
Habib Salami1,2,3 : sample collection, sequencing, data analysis
Caroline Coste1,2: SNA and sequence data analysis
Renaud Lancelot1,2 : SNA data analysis, supervision
Olivier Kwiatek1,2 Geneviève Libeau1,2 : lab work, supervision
Moustapha Lo3, Ismaïla Seck4, Mariam Diop3, Ahmed Bezeid El
Mamy5, Ahmed Salem El Arbi6, Lancéï Kaba7, Mamadou
Niang8: sampling and livestock trade data collection
1 CIRAD, UMR CMAEE, Montpellier, France; 2 INRA, UMR CMAEE, Montpellier, France; 3
ISRA/LNERV, Dakar, Senegal; 4 Direction des Services Vétérinaires, Dakar, Senegal ; 5 CNERV,
Nouakchott, Mauritania; 6 Ministère du Développement rural, Services Vétérinaires, Nouakchott,