Article thumbnail
Location of Repository

Spatial Genetic Structure of a Symbiotic Beetle-Fungal System: Toward Multi-Taxa Integrated Landscape Genetics

By Patrick M. A. James, Dave W. Coltman, Brent W. Murray, Richard C. Hamelin and Felix A. H. Sperling


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

Topics: Research Article
Publisher: Public Library of Science
OAI identifier:
Provided by: PubMed Central

Suggested articles


  1. (1996). A national ecological framework for Canada. Agriculture and Agri-Food Canada, Research Branch, Centre for Land and Biological Resources Research, and Environment Canada, State of the Environment Directorate, Ecozone Analysis Branch Ottawa/Hull.
  2. (2006). Adaptive vs. neutral genetic diversity: Implications for landscape genetics.
  3. (2008). adegenet: a R package for the multivariate analysis of genetic markers.
  4. (2007). An emerging synthesis between community ecology and evolutionary biology.
  5. (1989). An empirical approach to modeling the local dispersal of the mountain pine beetle (Dendroctonus ponderosae Hopk.) (Col., Scolytidae) in relation to sources of attraction, wind direction and speed.
  6. (1973). Analysis of gene diversity in subdivided populations.
  7. (1992). Analysis of molecular variance inferred from metric distances among DNA haplotypes: Application to human mitochondrial DNA restriction sites.
  8. (2005). Arlequin ver. 3.0: An integrated software package for population genetics data analysis.
  9. (2004). Bark beetle-fungal symbiosis: Context dependency in complex associations.
  10. (2008). Bottom-up effects of plant genotype on aphids, ants, and predators.
  11. (2009). Characterization of microsatellite loci in the fungus, Grosmannia clavigera, a pine pathogen associated with the mountain pine beetle.
  12. (2010). Climate change and bark beetles of the western United States and Canada: Direct and indirect effects.
  13. (2003). Community and ecosystem genetics: A consequence of the extended phenotype.
  14. (1999). Comparative geographic structures of two parasitoid-host interactions.
  15. (2010). Comparative phylogeography, genetic differentiation and contrasting reproductive modes in three fungal symbionts of a multipartite bark beetle symbiosis.
  16. (2004). Comparative population genetic structures and local adaptation of two mutualists.
  17. (2010). Comparison of the Mantel test and alternative approaches for detecting complex multivariate relationships in the spatial analysis of genetic data.
  18. (2010). Considering spatial and temporal scale in landscape-genetic studies of gene flow.
  19. (2008). Cross-scale drivers of natural disturbances prone to anthropogenic amplification: The dynamics of bark beetle eruptions.
  20. (2007). Dietary benefits of fungal associates to an eruptive herbivore: Potential implications of multiple associates on host population dynamics.
  21. (2004). Effects of climate change on range expansion by the mountain pine beetle in British Columbia. In:
  22. (1998). Effects of mycangial fungi and host tree species on progeny survival and emergence of Dendroctonus ponderosae (Coleoptera: Scolytidae).
  23. (1984). Estimating F-Statistics for the analysis of population structure.
  24. (1992). Gene-for-gene coevolution between plants and parasites.
  25. (2009). Genetic markers in the playground of multivariate analysis.
  26. (2002). Genetic variation of symbiotic fungi cultivated by the macrotermitine termite Odontotermes formosanus (Isoptera: Termitidae) in the Ryukyu Archipelago.
  27. (2001). How well do multivariate data sets match? The advantages of a Procrustean superimposition approach over the Mantel test.
  28. (1999). Indirect measures of gene flow and migration: FST?1/(4Nm+1).
  29. (2009). Isolation and characterization of 16 microsatellite loci in the mountain pine beetle, Dendroctonus ponderosae Hopkins (Coleoptera: Curculionidae: Scolytinae).
  30. (1943). Isolation by distance.
  31. (2003). Landscape genetics: Combining landscape ecology and population genetics.
  32. (2008). Landscape genetics.
  33. (2007). Landscapescale genetic variation in a forest outbreak species, the mountain pine beetle (Dendroctonus ponderosae).
  34. (1973). Lodgepole pine losses to mountain pine related to elevation.
  35. (1999). Model analysis of mountain pine beetle (Coleoptera: Scolytidae) seasonality.
  36. (2008). Mountain pine beetle and forest carbon feedback to climate change.
  37. (2008). Multipartite symbioses among fungi, mites, nematodes, and the spruce beetle, Dendroctonus rufipennis.
  38. (1945). Observations on outbreaks and control of the mountain pine beetle in lodgepole pine stands of western Canada.
  39. (1987). Ordination. In:
  40. (2011). Pedlar JH (in review) Mapping forest composition from the Canadian National Forest Inventory and satellite landcover classification maps. Environmental Monitoring and Assessment.
  41. (1999). Phylogenetic comparison of ascomycete mycangial fungi and Dendroctonus bark beetles (Coleoptera: Scolytidae).
  42. (2007). Population genetic signatures of diffuse co-evolution between leaf-cutting ants and their cultivar fungi.
  43. (2010). Potential for range expansion of mountain pine beetle into the boreal forest of North America.
  44. (2008). Radar observation and aerial capture of mountain pine beetle, Dendroctonus ponderosae Hopk. (Coleoptera: Scolytidae) in flight above the forest canopy.
  45. (1972). Resistance of confiers to invasion by bark beetle-fungus associations.
  46. (2008). Risk assessment of the threat of mountain pine beetle to Canada’s boreal and eastern pine forests. Information Report BC-X-417: Natural Resources Canada,
  47. (2009). Salle A
  48. (2002). Simple connectivity measures in spatial ecology.
  49. (2011). Spatial community structure of mountain pine beetle fungal symbionts across a latitudinal gradient.
  50. (2007). Spatial graphs: Principles and applications for habitat connectivity.
  51. (2009). Statistical approaches in landscape genetics: An evaluation of methods for linking landscape and genetic data.
  52. (2007). Temperature determines symbiont abundance in a multipartite bark beetle-fungus ectosymbiosis.
  53. (1983). The role of host plant resistance in the colonization behavior and ecology of bark beetles (Coleoptera: Scolytidae).
  54. (2009). Transport of fungal symbionts by mountain pine beetles.
  55. (2010). Use of resistance surfaces for landscape genetic studies: Considerations for parameterization and analysis.
  56. (2006). Variation partitioning of species data matrices: Estimation and comparison of fractions.
  57. (2010). vegan: Community Ecology Package. R package vers.

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.