10.5061/DRYAD.1VR6G3F
Larroque, Jeremy
University of Montreal
Legault, Simon
University of Montreal
Johns, Rob
Canadian Forest Service
Lumley, Lisa
,
Cusson, Michel
,
Renaut, Sébastien
University of Montreal
Levesque, Roger
Université Laval
James, Patrick M. A.
University of Montreal
Data from: Temporal variation in spatial genetic structure during
population outbreaks: distinguishing among different potential drivers of
spatial synchrony
Dryad
dataset
2020
spatial genetics
spruce budworm
Insect outbreak
Choristoneura fumiferana
Temporal genetics
cyclic populations
2020-08-02T00:00:00Z
2020-01-03T00:00:00Z
en
https://doi.org/10.1111/eva.12852
565774943 bytes
2
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Spatial synchrony is a common characteristic of spatio-temporal population
dynamics across many taxa. While it is known that both dispersal and
spatially autocorrelated environmental variation (i.e., the Moran effect)
can synchronize populations, the relative contributions of each, and how
they interact, is generally unknown. Distinguishing these mechanisms and
their effects on synchrony can help us to better understand spatial
population dynamics, design conservation and management strategies, and
predict climate change impacts. Population genetic data can be used to
tease apart these two processes as the spatio-temporal genetic patterns
they create are expected to be different. A challenge, however, is that
genetic data are often collected at a single point in time, which may
introduce context-specific bias. Spatio-temporal sampling strategies can
be used to reduce bias and to improve our characterization of the drivers
of spatial synchrony. Using spatio-temporal analyses of genotypic data,
our objective was to identify the relative support for these two
mechanisms to the spatial synchrony in population dynamics of the
irruptive forest insect pest, the spruce budworm (Choristoneura
fumiferana), in Quebec (Canada). AMOVA, cluster analysis, isolation by
distance and sPCA were used to characterize spatio-temporal genomic
variation using 1370 SBW larvae sampled over four years (2012-2015) and
genotyped at 3,562 SNP loci. We found evidence of overall weak spatial
genetic structure that decreased from 2012 to 2015 and a genetic diversity
homogenization among the sites. We also found genetic evidence of a
long-distance dispersal event over > 140 km. These results indicate
that dispersal is the key mechanism involved in driving population
synchrony of the outbreak. Early intervention management strategies that
aim to control source populations have the potential to be effective
through limiting dispersal. However, the timing of such interventions
relative to outbreak progression is likely to influence their probability
of success.
SNP data for population genetics
analyseslarroqueetal2019.rarlarroqueetal2019_README.rSpruce budworm bw6
genome assemblyThis file contains a draft assembly of the spruce budworm
(Choristoneura fumiferana) genome. The core assembly was generated from
Roche 454 WGS reads (derived from DNA extracted from a single male pupa)
assembled using Newbler. Subsequently, DNA from multiple male insects was
subjected to PacBio sequencing; the reads thus obtained were used to
improve scaffolding.bw6_scaffolds_and_unmerged_paths_03Feb15.fas
Canada
Quebec