Data from: Genetic signatures of variation in population size in a native fungal pathogen after the recent massive plantation of its host tree

  • Frédéric Labbé (BIOGECO, INRA, Univ. Bordeaux, UMR 1202, F-33610 Cestas, France) (Creator)
  • Michael Fontaine (Creator)
  • Cécile Robin (Creator)
  • Cyril Dutech (Creator)

Dataset

Description

Historical fluctuations in forests' distribution driven by past climate changes and anthropogenic activities can have large impacts on the demographic history of pathogens that have a long co-evolution history with these host trees. Using a population genetic approach, we investigated that hypothesis by reconstructing the demographic history of Armillaria ostoyae, one of the major pathogens of the maritime pine (Pinus pinaster), in the largest monospecific pine planted forest in Europe (south-western France). Genetic structure analyses and approximate Bayesian computation approaches revealed that a single pathogen population underwent a severe reduction in effective size (12 times lower) 1080-2080 generations ago, followed by an expansion (4 times higher) during the last 4 generations. These results are consistent with the history of the maritime pine forest in the region characterized by a strong recession during the last glaciation (~19 000 years ago) and massive plantations during the second half of the nineteenth century. Results suggest that recent and intensive plantations of a host tree population have offered the opportunity for a rapid spread and adaptation of their pathogens.

The data package contains one dataset:
- The data set included 206 Armillaria ostoyae individuals collected in the Landes de Gascogne forest (south-western France) between 2012 and 2014. Each individual was genotyped at 29 markers: 7 microsatellites and 22 single nucleotide polymorphism (SNP) markers.
Date made available10-Aug-2017
PublisherUniversity of Groningen
Temporal coverage2012 - 2014
Geographical coverageFrance, Landes de Gascogne forest

Keywords on Datasets

  • Approximate Bayesian computations
  • fungal genetics
  • host-pathogen interactions
  • Armillaria ostoyae

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