Arnaud Bataille

Dr. Arnaud Bataille

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 May 2018 in Science
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Journal Article
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SOSimon J. O’hAnlon
Simon J. O’hAnlon
ARAdrien Rieux
Adrien Rieux
RFRhys Farrer
Rhys Farrer
GRGonçalo M. Rosa
Gonçalo M. Rosa
BWBruce Waldman
Bruce Waldman
MFMatthew C. Fisher
Matthew C. Fisher
Panzootic chytrid fungus out of Asia: Species in the fungal genus Batrachochytrium are responsible for severe declines in the populations of amphibians globally. The sources of these pathogens have been uncertain. O'Hanlon et al. used genomics on a panel of more than 200 isolates to trace the source of the frog pathogen B. dendrobatidis to a hyperdiverse hotspot in the Korean peninsula (see the Perspective by Lips). Over the past century, the trade in amphibian species has accelerated, and now all lineages of B. dendrobatidis occur in traded amphibians; the fungus has become ubiquitous and is diversifying rapidly. Science , this issue p. 621 ; see also p. 604

6 July 2011 in Proceedings Of The Royal Society B-Biological Sciences
Verified
Journal Article
Closed access
RYR. J. F. Ypma
R. J. F. Ypma
ABArnaud Bataille
Arnaud Bataille
ASA. Stegeman
A. Stegeman
GKG. Koch
G. Koch
JWJ. Wallinga
J. Wallinga
WBW. M. van Ballegooijen
W. M. van Ballegooijen
Knowledge on the transmission tree of an epidemic can provide valuable insights into disease dynamics. The transmission tree can be reconstructed by analysing either detailed epidemiological data (e.g. contact tracing) or, if sufficient genetic diversity accumulates over the course of the epidemic, genetic data of the pathogen. We present a likelihood-based framework to integrate these two data types, estimating probabilities of infection by taking weighted averages over the set of possible transmission trees. We test the approach by applying it to temporal, geographical and genetic data on the 241 poultry farms infected in an epidemic of avian influenza A (H7N7) in The Netherlands in 2003. We show that the combined approach estimates the transmission tree with higher correctness and resolution than analyses based on genetic or epidemiological data alone. Furthermore, the estimated tree reveals the relative infectiousness of farms of different types and sizes.

22 April 2015 in Proceedings Of The Royal Society B-Biological Sciences
Verified
Journal Article
Open access
ABArnaud Bataille
Arnaud Bataille
SCScott D. Cashins
Scott D. Cashins
LGLaura Grogan
Laura Grogan
LSLee F. Skerratt
Lee F. Skerratt
DHDavid Hunter
David Hunter
BWBruce Waldman
Bruce Waldman
The pathogenic chytrid fungusBatrachochytrium dendrobatidis(Bd) can cause precipitous population declines in its amphibian hosts. Responses of individuals to infection vary greatly with the capacity of their immune system to respond to the pathogen. We used a combination of comparative and experimental approaches to identify major histocompatibility complex class II (MHC-II) alleles encoding molecules that foster the survival of Bd-infected amphibians. We found that Bd-resistant amphibians across four continents share common amino acids in three binding pockets of the MHC-II antigen-binding groove. Moreover, strong signals of selection acting on these specific sites were evident among all species co-existing with the pathogen. In the laboratory, we experimentally inoculated Australian tree frogs with Bd to test how each binding pocket conformation influences disease resistance. Only the conformation of MHC-II pocket 9 of surviving subjects matched those of Bd-resistant species. This MHC-II conformation thus may determine amphibian resistance to Bd, although other MHC-II binding pockets also may contribute to resistance. Rescuing amphibian biodiversity will depend on our understanding of amphibian immune defence mechanisms against Bd. The identification of adaptive genetic markers for Bd resistance represents an important step forward towards that goal.

27 June 2013 in Molecular Ecology
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Journal Article
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ABArnaud Bataille
Arnaud Bataille
JFJonathan J. Fong
Jonathan J. Fong
MCMoonsuk Cha
Moonsuk Cha
GWGuin Wogan
Guin Wogan
HBHae Jun Baek
Hae Jun Baek
BWBruce Waldman
Bruce Waldman

15 August 2015 in Microbial Ecology
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Journal Article
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ABArnaud Bataille
Arnaud Bataille
LLLarisa Lee-Cruz
Larisa Lee-Cruz
BTBinu Tripathi
Binu Tripathi
HKHyoki Kim
Hyoki Kim
BWBruce Waldman
Bruce Waldman

10 December 2012 in The Journal of Infectious Diseases
Verified
Journal Article
Open access
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RYRolf J.F. Ypma
Rolf J.F. Ypma
MJMarcel Jonges
Marcel Jonges
ABArnaud Bataille
Arnaud Bataille
ASArjan Stegeman
Arjan Stegeman
GKGuus Koch
Guus Koch
JWJacco Wallinga
Jacco Wallinga
Outbreaks of highly pathogenic avian influenza in poultry can cause severe economic damage and represent a public health threat. Development of efficient containment measures requires an understanding of how these influenza viruses are transmitted between farms. However, the actual mechanisms of interfarm transmission are largely unknown. Dispersal of infectious material by wind has been suggested, but never demonstrated, as a possible cause of transmission between farms. Here we provide statistical evidence that the direction of spread of avian influenza A(H7N7) is correlated with the direction of wind at date of infection. Using detailed genetic and epidemiological data, we found the direction of spread by reconstructing the transmission tree for a large outbreak in the Netherlands in 2003. We conservatively estimate the contribution of a possible wind-mediated mechanism to the total amount of spread during this outbreak to be around 18%.