Data from: Temporal variation in spatial genetic structure during population outbreaks: distinguishing among different potential drivers of spatial synchrony
- Description:
- 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.
Usage Notes:SNP data for population genetics analyses
larroqueetal2019.rarlarroqueetal2019_README.rSpruce budworm bw6 genome assembly
This 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 - , , , Lumley, Lisa, , , et
- Dépôt source:
- Dryad
- Éditeur(s):
- Dryad
- Accès:
- Public
- URL:
- http://datadryad.org/stash/dataset/doi:10.5061/dryad.1vr6g3f
- Date de publication:
- 2020-01-03
- Mots-clés (en):
- Identificateur:
- https://doi.org/10.5061/dryad.1vr6g3f
Information géospatiale
Il n’y a aucune information géospatiale pour cette notice.
Sélectionner le ou les éléments géospatiaux à afficher sur la carte :
Notez : Jusqu’à 1000 caractéristiques pour chaque fichier sont affichées.