Bluetongue virus spread in Europe is a consequence of climatic, landscape and vertebrate host factors as revealed by phylogeographic inference. Issue 1864 (11th October 2017)

• Record Type: Journal Article
• Authors: Jacquot, Maude; Nomikou, Kyriaki; Palmarini, Massimo; Mertens, Peter; Biek, Roman
• Is Part Of: Proceedings. Volume 284:Issue 1864(2017)
• Publication Date: 2017-10-11
• Subjects: bluetongue -- phylogeography -- viral diffusion -- environmental drivers -- predictor testing -- vector-borne pathogen; Biology -- Periodicals; 570.5
• DOI: 10.1098/rspb.2017.0919
• Languages: English
• ISSNs: 0962-8452

Abstract

Abstract : Spatio-temporal patterns of the spread of infectious diseases are commonly driven by environmental and ecological factors. This is particularly true for vector-borne diseases because vector populations can be strongly affected by host distribution as well as by climatic and landscape variables. Here, we aim to identify environmental drivers for bluetongue virus (BTV), the causative agent of a major vector-borne disease of ruminants that has emerged multiple times in Europe in recent decades. In order to determine the importance of climatic, landscape and host-related factors affecting BTV diffusion across Europe, we fitted different phylogeographic models to a dataset of 113 time-stamped and geo-referenced BTV genomes, representing multiple strains and serotypes. Diffusion models using continuous space revealed that terrestrial habitat below 300 m altitude, wind direction and higher livestock densities were associated with faster BTV movement. Results of discrete phylogeographic analysis involving generalized linear models broadly supported these findings, but varied considerably with the level of spatial partitioning. Contrary to common perception, we found no evidence for average temperature having a positive effect on BTV diffusion, though both methodological and biological reasons could be responsible for this result. Our study provides important insights into the drivers of BTV transmission at the landscape scale that could inform predictive models of viral spread and have implications for designing control strategies.