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Genetic Similarity of Island Populations of Tent Caterpillars during Successive Outbreaks

Overview of attention for article published in PLOS ONE, May 2014
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Title
Genetic Similarity of Island Populations of Tent Caterpillars during Successive Outbreaks
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0096679
Pubmed ID
Authors

Michelle T. Franklin, Judith H. Myers, Jenny S. Cory

Abstract

Cyclic or fluctuating populations experience regular periods of low population density. Genetic bottlenecks during these periods could give rise to temporal or spatial genetic differentiation of populations. High levels of movement among increasing populations, however, could ameliorate any differences and could also synchronize the dynamics of geographically separated populations. We use microsatellite markers to investigate the genetic differentiation of four island and one mainland population of western tent caterpillars, Malacosoma californicum pluviale, in two periods of peak or pre-peak density separated by 8 years. Populations showed high levels of genetic variation and little genetic differentiation either temporally between peaks or spatially among sites. Mitochondrial haplotypes were also shared between one island population and one mainland population in the two years studied. An isolation-by-distance analysis showed the FST values of the two geographically closest populations to have the highest level of differentiation in both years. We conclude that high levels of dispersal among populations maintain both synchrony of population dynamics and override potential genetic differentiation that might occur during population troughs. As far we are aware, this is the first time that genetic similarity between temporally separated population outbreaks in insects has been investigated. A review of genetic data for both vertebrate and invertebrate species of cyclic animals shows that a lack of spatial genetic differentiation is typical, and may result from high levels of dispersal associated with fluctuating dynamics.

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Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 7%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 26%
Student > Ph. D. Student 7 26%
Student > Bachelor 3 11%
Student > Doctoral Student 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 59%
Environmental Science 3 11%
Biochemistry, Genetics and Molecular Biology 1 4%
Immunology and Microbiology 1 4%
Earth and Planetary Sciences 1 4%
Other 0 0%
Unknown 5 19%