Spatial genetic structure of a symbiotic beetle-fungal system: toward multi-taxa integrated landscape genetics

• Published in: PloS one Vol. 6; no. 10; p. e25359
• Main Authors: James, Patrick M A, Coltman, Dave W, Murray, Brent W, Hamelin, Richard C, Sperling, Felix A H
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04-10-2011; Public Library of Science (PLoS)
• Subjects: Animals; Bark beetles; Beetles; Biological evolution; Biology; Canada; Climate; Coleoptera; Coleoptera - genetics; Coleoptera - microbiology; Dendroctonus ponderosae; Ecological monitoring; Ecology; Ecosystem; Evolution; Fungi; Fungi - genetics; Gene flow; Gene frequency; Gene Frequency - genetics; Genetic distance; Genetic diversity; Genetic markers; Genetic relationship; Genetic research; Genetic structure; Genetic Variation; Genetics; Genomes; Geography; Grosmannia clavigera; Infestation; Insects; Landscape; Models, Genetic; Natural resources; Ordination; Pest outbreaks; Pine; Pinus contorta; Principal Component Analysis; Scolytidae; Spatial heterogeneity; Studies; Symbionts; Symbiosis - genetics; Taxa; Trees; Vancouver British Columbia Canada; Canada
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0025359

Spatial patterns of genetic variation in interacting species can identify shared features that are important to gene flow and can elucidate co-evolutionary relationships. We assessed concordance in spatial genetic variation between the mountain pine beetle (Dendroctonus ponderosae) and one of its fungal symbionts, Grosmanniaclavigera, in western Canada using neutral genetic markers. We examined how spatial heterogeneity affects genetic variation within beetles and fungi and developed a novel integrated landscape genetics approach to assess reciprocal genetic influences between species using constrained ordination. We also compared landscape genetic models built using Euclidean distances based on allele frequencies to traditional pair-wise Fst. Both beetles and fungi exhibited moderate levels of genetic structure over the total study area, low levels of structure in the south, and more pronounced fungal structure in the north. Beetle genetic variation was associated with geographic location while that of the fungus was not. Pinevolume and climate explained beetle genetic variation in the northern region of recent outbreak expansion. Reciprocal genetic relationships were only detectedin the south where there has been alonger history of beetle infestations. The Euclidean distance and Fst-based analyses resulted in similar models in the north and over the entire study area, but differences between methods in the south suggest that genetic distances measures should be selected based on ecological and evolutionary contexts. The integrated landscape genetics framework we present is powerful, general, and can be applied to other systems to quantify the biotic and abiotic determinants of spatial genetic variation within and among taxa.