Data from: Colonization of the Mediterranean Basin by the vector biting midge species Culicoides imicola: an old storyStephanie Jacquet, Claire Garros, Eric Lombaert, Catherine Walton, Johana Restrepo, Xavier Allene, Thierry Baldet, Catherine Cetre-Sossah, Alexandra Chaskopoulou, Jean-Claude Delecolle, Amelie Desvars, Mouloud Djerbal, Moussa Fall, Laetitia Gardes, Michel De Garine-Wichatitsky, Maria Goffredo, Yuval Gottlieb, Assane Gueye Fall, Muo Kasina, Karien Labuschagne, Youssef Lhor, Javier Lucientes, Thibaud Martin, Bruno Mathieu, Miguel Miranda … & J.-C. Delecolle
Understanding the demographic history and genetic make-up of colonizing species is critical for inferring population sources and colonization routes. This is of main interest for designing accurate control measures in areas newly colonized by vector species of economically important pathogens. The biting midge Culicoides imicola is a major vector of orbiviruses to livestock. Historically, the distribution of this species was limited to the Afrotropical region. Entomological surveys first revealed the presence of C. imicola in...
Data from: Tracking changes in life-history traits related to unnecessary virulence in a plant-parasitic nematodePhilippe Castagnone-Sereno, Karine Mulet, Catherine Iachia & Cathy Iachia
Evaluating trade-offs in life-history traits of plant pathogens is essential to understand the evolution and epidemiology of diseases. In particular, virulence costs when the corresponding host resistance gene is lacking play a major role in the adaptive biology of pathogens and contribute to the maintenance of their genetic diversity. Here, we investigated whether life-history traits directly linked to the establishment of plant–nematode interactions, that is, ability to locate and move toward the roots of the...
Data from: Spatial heterogeneity in landscape structure influences dispersal and genetic structure: empirical evidence from a grasshopper in an agricultural landscapeBertrand Gauffre, Sophie Mallez, Marie-Pierre Chapuis, Leblois Raphael, Isabelle Litrico, Sabrina Delaunay, Isabelle Badenhausser & Raphael Leblois
Dispersal may be strongly influenced by landscape and habitat characteristics that could either enhance or restrict movements of organisms. Therefore, spatial heterogeneity in landscape structure could influence gene flow and the spatial structure of populations. In the past decades, agricultural intensification has led to the reduction in grassland surfaces, their fragmentation and intensification. As these changes are not homogeneously distributed in landscapes, they have resulted in spatial heterogeneity with generally less intensified hedged farmland areas...
Data from: The highs and lows of dispersal: how connectivity and initial population size jointly shape establishment dynamics in discrete landscapesThibaut Morel-Journel, Pierre Girod, Ludovic Mailleret, Alexandra Auguste, Aurélie Blin & Elodie Vercken
Identifying the main factors driving introduced populations to establishment is a major challenge of invasion biology. Due to their small initial size, introduced populations are most vulnerable to extinction because of demographic stochasticity or Allee effects. While an increase in initial population size is known to increase establishment success, much remains to be understood regarding its interplay with connectivity in spatially structured environments. In order to better understand how demographic mechanisms interact at such spatial...
Data from: Statistical analysis of the individual variability of 1D protein profiles as a tool in ecology: an application to parasitoid venomHugo Mathé-Hubert, Jean-Luc Gatti, Dominique Colinet, Marylène Poirié & Thibaut Malausa
Understanding the forces that shape eco-evolutionary patterns often requires linking phenotypes to genotypes, allowing characterization of these patterns at the molecular level. DNA-based markers are less informative in this aim compared to markers associated with gene expression and, more specifically, with protein quantities. The characterization of eco-evolutionary patterns also usually requires the analysis of large sample sizes to accurately estimate interindividual variability. However, the methods used to characterize and compare protein samples are generally expensive...
Institut Sophia Agrobiotech5
French National Institute for Agricultural Research2
French National Centre for Scientific Research2
Centre de Coopération Internationale en Recherche Agronomique pour le Développement2
Centre d'Etudes Biologiques de Chizé1
Kenya Agricultural and Livestock Research Organization1
University of Zaragoza1
United States Department of Agriculture1
University of Manchester1
Agricultural Research Council1