globalchange  > 全球变化的国际研究计划
DOI: 10.1111/eva.12852
WOS记录号: WOS:000483198200001
论文题名:
Temporal variation in spatial genetic structure during population outbreaks: Distinguishing among different potential drivers of spatial synchrony
作者: Larroque, Jeremy1; Legault, Simon1; Johns, Rob2; Lumley, Lisa3,4; Cusson, Michel4; Renaut, Sebastien5; Levesque, Roger C.6; James, Patrick M. A.1
通讯作者: Larroque, Jeremy
刊名: EVOLUTIONARY APPLICATIONS
ISSN: 1752-4571
出版年: 2019
语种: 英语
英文关键词: cyclic populations ; insect outbreak ; SNP ; spatial genetics ; spruce budworm ; synchrony ; temporal genetics
WOS关键词: SPRUCE BUDWORM OUTBREAKS ; LONG-DISTANCE DISPERSAL ; R-PACKAGE ; NEW-BRUNSWICK ; GENOME SCANS ; LANDSCAPE ; LEPIDOPTERA ; DIVERSITY ; DYNAMICS ; CYCLES
WOS学科分类: Evolutionary Biology
WOS研究方向: Evolutionary Biology
英文摘要:

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, are 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 1,370 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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/145726
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ Montreal, Dept Sci Biol, Pavillon Marie Victorin, Montreal, PQ H3C 3J7, Canada
2.Nat Resources Canada, Canadian Forest Serv, Fredericton, NB, Canada
3.Royal Alberta Museum, Edmonton, AB, Canada
4.Nat Resources Canada, Laurentian Forestry Ctr, Quebec City, PQ, Canada
5.Univ Montreal, Inst Rech Biol Vegetale, Dept Sci Biol, Montreal, PQ, Canada
6.Univ Laval, Inst Biol Integrat & Syst, Quebec City, PQ, Canada

Recommended Citation:
Larroque, Jeremy,Legault, Simon,Johns, Rob,et al. Temporal variation in spatial genetic structure during population outbreaks: Distinguishing among different potential drivers of spatial synchrony[J]. EVOLUTIONARY APPLICATIONS,2019-01-01
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