Post-doc: Population genetics of varroa infestation in honeybees


Applications are invited for a two-year postdoctoral research position in the field of
population genomics and quantitative genomics of adaptation in the GenPhySE laboratory at
INRA Toulouse (, France. The postdoctoral researcher will
be responsible for large-scale genomics data analyses from French honeybee populations
monitored for resistance to the parasite Varroa.
European Apis mellifera honeybee populations suffer from the infestation of the Varroa mite,
since it jumped the species barrier from the asian honeybee Apis cerana in the mid-twentieth
century. Varroa feeds on honeybee larvae and workers and is a vector for the spread of
several honey bee viruses, thus affecting drastically the health, survival and production of bee
colonies. In an effort to better understand the environmental and genetic factors contributing
to the variability of Varroa infestation across honey bee populations, a large phenotyping and
resequencing project is currently conducted across France and several populations selected for
varroa resistance and/or survival throughout the world. Two traits will be studied in particular
for a GWAS analysis: VSH (Varroa Sensitive Hygiene) and SMR (Suppressed Mite
Reproduction). The project involves local beekeepers, the French technical institute on
Honeybees (ITSAP), the genomics and genetics analysis laboratory Labogena and INRA.
We seek a motivated scientist interested in contributing to this project, in collaboration with
statisticians, geneticists, molecular biologists and biologists specialized in honeybees. The
postdoctoral researcher will develop and apply a variety of data analyses to describe the finescale
structure of French honeybee populations, seek for adaptive loci contributing to their
diversification in various habitats in France. In particular he/she will exploit phenotype and
sequence data produced within the project to seek genetic loci that can be associated to the
colonies’ responses to Varroa infestation.
Applicants should have completed a PhD in the fields of population genomics, quantitative
genetics and/or computational sciences. The candidate should have strong research interests in
large-scale statistical analyses of genomics data. Ideally, he/she will be familiar with
computational procedures and methods to deal with next-generation sequencing data, possibly
with pool-sequencing datasets. The applicants should be proficient in one or more programing
language for statistics and data analyses such as R and/or python and able to work in a Linux
environment. Applicants should send a CV, a publication list, a statement of their research
background and interests and contact information for three references to Bertrand Servin at and Alain Vignal at . The position is available
for starting in September or october 2017. Deadline for application: july 16th, 2017

Alain Vignal & Bertrand Servin
PostDocBeesINRA.pdf — 1273 KB
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