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Evaluation of genetic variation of attack and resistance in lodgepole pine in the early stages of a mountain pine beetle outbreak

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Abstract

We examined variation of attack by mountain pine beetle (MPB) (Dendroctonus ponderosae) (Coleoptera: Scolytidae) in a 20-year-old lodgepole pine open-pollinated (OP) family trial composed of 165 OP parent-trees originating from local and nonlocal provenances. Trees were assessed in the summer of 2005 for traits relating to attack, survival, gallery formation, and infection from the fungi associated with MPB, Ophiostoma sp. Successful initial attack was determined by the presence of dead (i.e., red or gray foliage) crowns and the presence of entrance holes from MPB. Eighty-seven percent of the trees still had green crowns in the fall of 2005 (GC05), with family mean differences ranging from 46 to 100%. The mean number of pitch tubes per tree (PT#05) (in a sampling area of 225 cm2 at breast height) was 1.5 with a range from 0 to 14 per tree. However, for pitch tubes indicating presence or absence (PTP05) of MPB on each tree, 63% of the trees had pitch tubes and family means ranged from 7 to 100%. Significant levels of genetic variation were found for GC05 and PTP05 with narrow-sense heritabilities of 0.20 (SE = 0.11) and 0.26 (SE = 0.07), respectively. Provenance differences were also significant, indicating that some population structure is present for these “resistance” attributes. The family breeding value correlations between 10-year height growth and PTP05 was 0.22, indicating that at the population level faster growing families may be slightly more subject to attack. An intensive survey of a subsample of 442 trees in the test (selected from 50 families with a range of attack levels) was conducted, and trees were reassessed for the presence of attack, presence of blue stain in the wood, and presence of galleries and egg chambers/eggs in the gallery. Family means ranged from 0 to 57% for blue stain, 11 to 63% for galleries, and 0 to 57% for egg chambers/eggs; however, due to the relatively small sample sizes and the nature of the binary data, family differences were not highly statistically significant. Further research is underway to improve the quantitative genetic parameters and determine the actual mechanisms at work; however, it is clear the MPB does react differently to host genotypes in terms of initial attack.

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References

  • Berryman AA (1982) Population dynamics of bark beetles. In: Mitton JB, Sturgeon KB (eds) Bark beetles in North American conifers. University of Texas Press, Austin, TX, USA, pp 264–314

    Google Scholar 

  • Cole WE, Amman GD (1969) Mountain pine beetle infestations in relation to lodgepole pine diameters. Res. Note INT-95. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station, Ogden, UT, US, p 7

  • Falconer DS (1989) An introduction to quantitative genetics, 3rd edn. Longman, New York

    Google Scholar 

  • Fritz RS, Simms EL (1992) Plant resistance to herbivores and pathogens. University of Chicago Press, Chicago, p 590

    Google Scholar 

  • Fry JD (1992) The mixed-model analysis of variance applied to quantitative genetics: biological meaning of the parameters. Evolution 46:540–550

    Article  Google Scholar 

  • Gerhold HD, Schreiner EJ, McDermott RE, Winieski JA (eds) (1966) Breeding pest resistant trees. Pergamon, New York, p 505

    Google Scholar 

  • Gilmour AR, Gogel BJ, Cullis BR, Welham SJ, Thompson R (2002) ASReml users guide release 1.0. VSN International Ltd., Hemel Hempstead, HP1 1ES, UK

  • Hemmingway RW, McGraw GW, Barras SJ (1977) Polyphenols in Ceratocystis minor infected Pinus taeda: fungal metabolites, phloem, and xylem phenols. J Agric Food Chem 25:717–722

    Article  Google Scholar 

  • Hynum BG, Berryman AA (1980) Dendroctonus ponderosae (Coleoptera: Scolytidae): pre-aggregation landing and gallery initiation on lodgepole pine. Can Entomol 112:185–191

    Google Scholar 

  • King JN, Yanchuk AD, Kiss GK, Alfaro R (1997) Genetic and phenotypic relationships between weevil (Pissodes strobi) resistance and height growth in spruce populations of British Columbia. Can J For Res 27:732–739

    Article  Google Scholar 

  • Kiss GK, Yanchuk AD (1991) Preliminary evaluation of genetic variation of weevil resistance in interior spruce in British Columbia. Can J For Res 21:230–234

    Article  Google Scholar 

  • Klepzig KD, Riba JM, Smalley EB, Raffa KF (1996) Combined chemical defenses against an insect–fungal complex. J Chem Ecol 22:1367–1388

    Article  Google Scholar 

  • Lewinsohn E, Gijzen M, Croteau R (1991) Defense mechanisms of conifers. Differences in constitutive and wound-induced monoterpene biosyntheses among species. Plant Physiol 96:44–49

    Article  PubMed  CAS  Google Scholar 

  • Liu XM, Fritz AK, Reese JC, Wilde GE, Gill BS, Chen M-S (2005) H9, H10, and H11 compose a cluster of Hessian fly-resistance genes in the distal gene-rich region of wheat chromosome 1AS. Theor Appl Genet 110:1473–1480

    Article  PubMed  CAS  Google Scholar 

  • Mattson WJ, Yanchuk AD, Kiss G, Birr B (1999) Resistance to galling adelgids varies among families of Engelmann spruce (Picea engelmanni P.). In: Lieutier F, Mattson WJL, Wagner MR (eds) Physiology and genetics of tree–phytophage interactions international symposium, Gujan, France, August 31–September 5 1997. INRA Editions, Paris, France, pp 51–64

  • Moeck HA, Wood DL, Lindahl KQ Jr (1981) Host selection behavior of bark beetles (Coleoptera: Scolytidae) attacking Pinus ponderosa with special emphasis on the western pine beetle, Dendroctonus brevicomis. J Chem Ecol 7:49–83

    Article  Google Scholar 

  • Raffa KF, Berryman AA (1983) The role of host plant resistance in the colonization behavior and ecology of bark beetles (Coleoptera: Scolytidae). Ecol Monogr 53:27–49

    Article  Google Scholar 

  • Raffa KF, Smalley EB (1995) Interaction of preattack and induced monoterpene concentrations in conifer defense against bark beetle–microbial complexes. Oecologia 102:285–295

    Article  Google Scholar 

  • Rapley LP, Allen GR, Potts BM (2004) Genetic variation in Eucalyptus globules in relation to susceptibility from attack by the southern eucalypt leaf beetle, Chrysophtharta agricola. Aust J Bot 52:747–756

    Article  Google Scholar 

  • Rehfeldt GE, Ying CC, Spittlehouse DL, Hamilton DA (1999) Genetic responses to climate change in Pinus contorta: niche breadth, climate change and reforestation. Ecol Monogr 69:375–407

    Google Scholar 

  • Roberds JH, Strom BL, Hain FP, Gwaze DP, McKeand SE, Lott LH (2003) Estimates of genetic parameters for oleoresin and growth traits in juvenile loblolly pine. Can J For Res 33:2469–2476

    Article  Google Scholar 

  • Safranyik L, Carroll AL (2006) The biology and epidemiology of the mountain pine beetle in lodgepole pine forests. In: Safranyik L, Wilson B (eds) The mountain, pine beetle: a synthesis of its biology, management and impacts on lodgepole pine. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, British Columbia, BC, pp 3–66

  • Safranyik L, Shrimpton DM, Whitney HS (1975) An interpretation of the interaction between lodgepole pine, the mountain pine beetle and its associated fungi in western Canada. In: Baumgartner DM (ed) Management of lodgepole pine ecosystems. Washington State University Cooperative Extension Services, Pullman, WA, pp 406–428

    Google Scholar 

  • Shepherd RF (1966) Factors influencing the orientation and rates of activity of Dendroctonus ponderosae Hopkins (Coleoptera: Scolytidae). Can Entomol 98:507–518

    Article  Google Scholar 

  • Shore TL, Brooks JE, Stone JE (eds) (2003) Mountain pine beetle symposium: challenges and solutions, Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, BC, Kelowna, BC, 30–31 Oct 2003 (Information Report BC-X-399, p 281)

  • Simms EL, Rauscher MS (1992) Use of quantitative genetics for studying the evolution of plant resistance. In: Fritz RS, Simms EL (eds) Plant resistance to herbivores and pathogens. University of Chicago Press, Chicago, pp 42–68

    Google Scholar 

  • Strom BL, Roton LM, Goyer RA, Meeker JR (1999) Visual and semiochemical disruption of host finding in the southern pine beetle. Ecol Appl 9:1028–1038

    Article  Google Scholar 

  • Strom BL, Goyer RA, Ingram LL Jr, Boyd GDL, Lott LH (2002) Oleoresin characteristics of progeny of loblolly pines that escape attack by the southern pine beetle. For Ecol Manag 158:169–178

    Article  Google Scholar 

  • Wagner MR, Clancy KM, Lieutier F, Paine TD (eds) (2002) Mechanisms and deployment of resistance in trees to insects. Kluwer Academic, Dordrecht, The Netherlands, p 332

    Google Scholar 

  • Wainhouse D, Howell RS (1983) Intraspecific variation in Beech scale populations and in susceptibility of their host Fagus sylvatica. Ecol Entomol 8:351–359

    Google Scholar 

  • Wood DL (1982) The role of pheromones, kairomones, and allomones in the host selection behavior of bark beetles. Ann Rev Entomol 27:411–446

    Article  CAS  Google Scholar 

  • Wu HX, Ying CC (1997) Genetic parameters and selection efficiencies in resistance to western gall rust, stalactiform blister rust, needle cast, and Sequoia pitch moth in lodgepole pine. For Sci 43:571–581

    Google Scholar 

  • Wullschleger SD, McLaughlin SB, Ayers MP (2004) High-resolution analysis of stem increment and sap flow for loblolly pine trees attacked by southern pine beetle. Can J For Res 34:2387–2393

    Article  Google Scholar 

  • Xie C-Y, Ying CC (1996) Heritabilities, age–age correlations and early selection in lodgepole pine (Pinus contorta ssp. latifolia). Silvae Genet 45:101–107

    Google Scholar 

  • Yanchuk AD (1986) The quantitative genetics of lodgepole pine. Ph.D. dissertation, University of Alberta, Edmonton

  • Yanchuk AD, Bishir J, Russell JH, Polsson KH (2006) Variation in volume production through clonal deployment: results from a simulation model to minimize risk for both a currently known and unknown future pest. Silvae Genet 55(1):25–37

    Google Scholar 

  • Ying CC, Liang Q-W (1994) Geographic pattern of adaptive variation of lodgepole pine (Pinus contorta Dougl.) within the species’ coastal range: field performance at age 20 years. For Ecol Manag 67:281–298

    Article  Google Scholar 

  • Zas R, Sampedro L, Prada E, Fernandez-Lopez J (2005) Genetic variation of Pinus pinaster Ait. seedlings in susceptibility to the pine weevil Hylobius abietis L. Ann For Sci 62:681–688

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank John Russell and Peter Ott for their assistance with portions of the data analyses, and John Russell, John King, and Rafael Zas for helpful comments on the manuscript. Also, we would like to express our thanks to the two anonymous reviewers who provided extremely constructive comments. Funding was provided by the BC Ministry of Forests, Forests for Tomorrow program, and the Forest Genetics Council of BC Tree-Breeding subprogram.

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Correspondence to Alvin D. Yanchuk.

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Communicated by R. Johnson

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Yanchuk, A.D., Murphy, J.C. & Wallin, K.F. Evaluation of genetic variation of attack and resistance in lodgepole pine in the early stages of a mountain pine beetle outbreak. Tree Genetics & Genomes 4, 171–180 (2008). https://doi.org/10.1007/s11295-007-0098-9

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