Open AccessCombining viral genetic and animal mobility network data to unravel peste des petits ruminants transmission dynamics in West Africa
Author(s) -
Arnaud Bataillé,
Habib Salami,
Ismaïla Seck,
Modou Moustapha Lô,
Alassane Bâ,
Mariame Diop,
Baba Sall,
Coumba Faye,
Mbargou Lo,
Lanceï Kaba,
Youssouf Sidimé,
Mohamed Keyra,
Aly Diallo,
Mamadou Niang,
Cheick Abou Kounta Sidibé,
Amadou Séry,
Martin Dakouo,
Ahmed Bezeid El Mamy,
Ahmed Salem El Arbi,
Yahya Barry,
Ekaterina Isselmou,
Habiboullah Habiboullah,
Abdellahi Salem Lella,
Baba Doumbia,
Mohamed Baba Gueya,
Caroline Coste,
Cécile Squarzoni Diaw,
Olivier Kwiatek,
Geneviève Libeau,
Andrea Apolloni
Publication year - 2021
Publication title -
plos pathogens
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.719
H-Index - 206
eISSN - 1553-7374
pISSN - 1553-7366
DOI - 10.1371/journal.ppat.1009397
Subject(s) - peste des petits ruminants , transmission (telecommunications) , clade , biology , phylogenetic tree , peste des petits ruminants virus , evolutionary biology , genetic variation , virus , virology , genetics , gene , computer science , telecommunications
Peste des petits ruminants (PPR) is a deadly viral disease that mainly affects small domestic ruminants. This disease threaten global food security and rural economy but its control is complicated notably because of extensive, poorly monitored animal movements in infected regions. Here we combined the largest PPR virus genetic and animal mobility network data ever collected in a single region to improve our understanding of PPR endemic transmission dynamics in West African countries. Phylogenetic analyses identified the presence of multiple PPRV genetic clades that may be considered as part of different transmission networks evolving in parallel in West Africa. A strong correlation was found between virus genetic distance and network-related distances. Viruses sampled within the same mobility communities are significantly more likely to belong to the same genetic clade. These results provide evidence for the importance of animal mobility in PPR transmission in the region. Some nodes of the network were associated with PPRV sequences belonging to different clades, representing potential “hotspots” for PPR circulation. Our results suggest that combining genetic and mobility network data could help identifying sites that are key for virus entrance and spread in specific areas. Such information could enhance our capacity to develop locally adapted control and surveillance strategies, using among other risk factors, information on animal mobility.