Quantifying sources of variation in the frequency of fungi associated with spruce beetles: Implications for hypothesis testing and sampling methodology in bark beetle-symbiont relationships

The spruce beetle, Dendroctonus rufipennis (Kirby), causes landscape level mortality to mature spruce (Picea spp.) throughout western and northern North America. As with other bark beetles, this beetle is associated with a variety of fungi, whose ecological functions are largely unknown. It has been proposed that the relative frequencies of specific fungi associated with bark beetles may vary with ecological factors such as host species, climate, or beetle population phase. We collected � 1000 adult spruce beetles in south-central Alaska from 1999 to 2001. We employed a variety of insect collection and microbial isolation techniques during year 1 to devise optimal conditions. In the latter 2 years, we sampled live adults excavated from overwintering galleries, and isolated fungi by dragging beetles across malt agar amended with gentamicin. We obtained 10 fungal species. We used a multilevel generalized linear mixed model to (a) develop estimates of the prevalence of each isolated fungal species in the beetle population; (b) explore factors that might explain the frequencies of association of specific fungi with adult spruce beetles, such as insect population phase or positive or negative associations with other fungi, and (c) partition the relative sources of variation in beetle–fungal associations between the hierarchical, random effect variables (i.e., nested individual insect, collecting vessel, tree, and site variables). We implemented this model using three procedures with different computational algorithms within the commonly used software packages R and SAS, and compared the results. The most prevalent fungus was Leptographium abietinum, which was recovered from approximately 80% of beetles. The frequency of

[1]  T. Harrington Leptographium species, their distributions, hosts and insect vectors , 1988 .

[2]  Vivek Goel,et al.  An Introduction to Multilevel Regression Models , 2001, Canadian journal of public health = Revue canadienne de sante publique.

[3]  J. Weiser,et al.  Observations on the occurrence of pathogens in the bark beetle Ips typographus L. (Col., Scolytidae) , 1996 .

[4]  R. Schall Estimation in generalized linear models with random effects , 1991 .

[5]  R. W. Davidson Wood-staining fungi associated with bark beetles in Engelmann Spruce in Colorado. , 1955 .

[6]  P. Bartels,et al.  PROGRESS TOWARDS EARLY DETECTION OF POPULATION QUALITY DIFFERENCES IN BARK BEETLES (COLEOPTERA: SCOLYTIDAE) , 1984, The Canadian Entomologist.

[7]  F. Hain,et al.  Endemic and epidemic populations of Southern pine beetle: implications of the two-phase model for forest managers , 1989 .

[8]  A. Munson,et al.  Spruce beetle ( Dendroctonus rufipennis ) outbreak in Engelmann spruce ( Picea engelmannii ) in central Utah, 1986–1998 , 2001 .

[9]  J. Weiser,et al.  A New Entomopoxvirus in the Bark Beetle Ips typographus (Coleoptera: Scolytidae) , 1995 .

[10]  A. Berryman,et al.  PHYSIOLOGICAL ASPECTS OF LODGEPOLE PINE WOUND RESPONSES TO A FUNGAL SYMBIONT OF THE MOUNTAIN PINE BEETLE, DENDROCTONUS PONDEROSAE (COLEOPTERA: SCOLYTIDAE) , 1983, The Canadian Entomologist.

[11]  D. W. French,et al.  Ceratocystis fagacearum and C. piceae on the surfaces of free-flying and fungus-mat-inhabiting nitidulids , 1983 .

[12]  D. Six,et al.  Fungi associated with the North American spruce beetle, Dendroctonus rufipennis , 2003 .

[13]  Beat Wermelinger,et al.  Ecology and management of the spruce bark beetle Ips typographus—a review of recent research , 2004 .

[14]  S. Barras Antagonism between Dendroctonus frontalis and the Fungus Ceratocystis minor , 1970 .

[15]  Tim B. Swartz,et al.  Approximating Integrals Via Monte Carlo and Deterministic Methods , 2000 .

[16]  G. W. Snedecor STATISTICAL METHODS , 1967 .

[17]  H. Upadhyay Monograph of Ceratocystis and Ceratocystiopsis , 1981 .

[18]  R. C. Beckwith SCOLYTID FLIGHT IN WHITE SPRUCE STANDS IN ALASKA , 1972, The Canadian Entomologist.

[19]  M. Furniss,et al.  AGGREGATION OF SPRUCE BEETLES (COLEOPTERA) TO SEUDENOL AND REPRESSION OF ATTRACTION BY METHYLCYCLOHEXENONE IN ALASKA , 1976, The Canadian Entomologist.

[20]  H. Akaike,et al.  Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .

[21]  K. Raffa,et al.  Association of an Insect-Fungal Complex with Red Pine Decline in Wisconsin , 1991, Forest Science.

[22]  R. Littell SAS System for Mixed Models , 1996 .

[23]  V. Carey,et al.  Mixed-Effects Models in S and S-Plus , 2001 .

[24]  J. Weiser,et al.  Annual variation of pathogen occurrence and pathogen prevalence in Ips typographus (Coleoptera, Scolytidae) from the BOKU University Forest Demonstration Centre , 2004, Journal of Pest Science.

[25]  T. Paine,et al.  Interactions among Scolytid bark beetles, their associated fungi, and live host conifers. , 1997, Annual review of entomology.

[26]  M. Wingfield,et al.  Ceratocystis and Ophiostoma: Taxonomy, Ecology, and Pathogenicity , 1993 .

[27]  C. McCulloch Maximum Likelihood Algorithms for Generalized Linear Mixed Models , 1997 .

[28]  J. Borden,et al.  New Techniques for Capturing and Analyzing Semiochemicals for Scolytid Beetles (Coleoptera: Scolytidae) , 1988 .

[29]  D. Six,et al.  Phylogenetic comparison of ascomycete mycangial fungi and Dendroctonus bark beetles (Coleoptera: Scolytidae) , 1999 .

[30]  P. McCullagh,et al.  Generalized Linear Models , 1992 .

[31]  J. D. Hodges,et al.  CARBOHYDRATES OF INNER BARK OF PINUS TAEDA AS AFFECTED BY DENDROCTONUS FRONTALIS AND ASSOCIATED MICROORGANISMS , 1969, The Canadian Entomologist.

[32]  H. Solheim,et al.  Pathogenicity to Douglas-fir of Ophiostoma pseudotsugae and Leptographium abietinum, fungi associated with the Douglas-fir beetle , 1997 .

[33]  S. Raudenbush,et al.  Maximum Likelihood for Generalized Linear Models with Nested Random Effects via High-Order, Multivariate Laplace Approximation , 2000 .

[34]  E. Lewinsohn,et al.  Blue-stain fungi and their transport structures on the Douglas-fir beetle , 1994 .

[35]  D. Wood,et al.  SURVIVAL AND DEVELOPMENT OF IPS PARACONFUSUS LANIER (COLEOPTERA: SCOLYTIDAE) REARED AXENICALLY AND WITH TREE-PATHOGENIC FUNGI VECTORED BY COHABITING DENDROCTONUS SPECIES , 1992, The Canadian Entomologist.

[36]  H. Solheim Fungi associated with the spruce bark beetle Ips typographus in an endemic area in Norway , 1993 .

[37]  T. L. Payne,et al.  Bark-beetle pheromones , 1977, Journal of Chemical Ecology.

[38]  P. Barbosa,et al.  Microbial mediation of plant-herbivore interactions , 1991 .

[39]  M. Wingfield Leptographium species as anamorphs of Ophiostoma : progress in establishing acceptable generic and species concepts , 1993 .

[40]  J. Moser,et al.  TARSONEMID MITE ASSOCIATES OF DENDROCTONUS FRONTALIS (COLEOPTERA: SCOLYTIDAE): IMPLICATIONS FOR THE HISTORICAL BIOGEOGRAPHY OF D. FRONTALIS , 2000, The Canadian Entomologist.

[41]  H. L. Allen,et al.  Effects of mass inoculation on induced oleoresin response in intensively managed loblolly pine. , 2005, Tree physiology.

[42]  B. Kendrick,et al.  A Monograph of Chalara and Allied Genera , 1976 .

[43]  K. Reynolds Relations between activity of Dendroctonus rufipennis Kirby on Lutz spruce and blue stain associated with Leptographium abietinum (Peck) Wingfield , 1992 .

[44]  J. Reid,et al.  Taxonomy of the genus Ceratocystis in Manitoba , 1974 .

[45]  S. Wernera,et al.  Comparison of methods for sampling Thysanoptera on basswood ( Tilia americana L . ) trees in mixed northern hardwood deciduous forests , 2004 .

[46]  Karl J. Friston,et al.  Variance Components , 2003 .

[47]  L. Safranyik,et al.  Pathogenicity to Sitka spruce of Ceratocystis rufipenni and Leptographium abietinum, blue-stain fungi associated with the spruce beetle , 1997 .

[48]  K. Klepzig,et al.  Competitive Interactions among Symbiotic Fungi of the Southern Pine Beetle , 1997, Applied and environmental microbiology.

[49]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[50]  N. Breslow,et al.  Approximate inference in generalized linear mixed models , 1993 .

[51]  E. Nordheim,et al.  Comparison of methods for sampling Thysanoptera on basswood (Tilia americana L.) trees in mixed northern hardwood deciduous forests , 2004 .

[52]  H. Viiri Fungal associates of the spruce bark beetle Ips typographus L. (Col. Scolytidae) in relation to different trapping methods , 1997 .

[53]  佐藤 大七郎,et al.  Forest Ecology and Management , 1999 .

[54]  R. Wolfinger,et al.  Generalized linear mixed models a pseudo-likelihood approach , 1993 .

[55]  M. Wingfield,et al.  Two species in the Ceratocystis coerulescens complex from conifers in western North America , 1997 .

[56]  Eric R. Ziegel,et al.  Generalized Linear Models , 2002, Technometrics.

[57]  D. Six Bark Beetle?fungus Symbioses , 2003 .

[58]  J. Bridges,et al.  Mycangial Fungi of Dendroctonus frontalis (Coleoptera: Scolytidae) and thier Relationship to Beetle Population Trends , 1983 .

[59]  K. Klepzig,et al.  Interactions of Hylastes Species (Coleoptera: Scolytidae) with Leptographium Species Associated with Loblolly Pine Decline , 2004, Journal of economic entomology.

[60]  A. Thomson,et al.  COMPETITION AND POPULATION QUALITY IN DENDROCTONUS RUFIPENNIS (COLEOPTERA: SCOLYTIDAE) , 1981, The Canadian Entomologist.

[61]  H. Solheim,et al.  GROWTH AND VIRULENCE OF CERATOCYSTIS RUFIPENNI AND THREE BLUE-STAIN FUNGI ISOLATED FROM THE DOUGLAS-FIR BEETLE , 1998 .

[62]  F. Stephen,et al.  VARIATION IN FEMALE SOUTHERN PINE BEETLE SIZE AND LIPID CONTENT IN RELATION TO FUNGAL ASSOCIATES , 1995, The Canadian Entomologist.

[63]  J. Brand,et al.  Bark beetle pheromones: Production of verbenone by a mycangial fungus ofDendroctonus frontalis , 1976, Journal of Chemical Ecology.

[64]  K. D. KLEPZIGl Bark Beetle-Fungal Symbiosis: Context Dependency in Complex Associations , 2003 .

[65]  K. Raffa,et al.  Components of Antagonism and Mutualism in Ips pini–Fungal Interactions: Relationship to a Life History of Colonizing Highly Stressed and Dead Trees , 2004 .

[66]  R. Werner,et al.  Dispersal of the spruce beetle, `dendroctonus rufipennis`, and the engraver beetle, `ips perturbatus`, in Alaska. Forest Service research paper , 1997 .

[67]  Russell D. Wolfinger,et al.  Laplace's approximation for nonlinear mixed models. , 1993 .

[68]  E. Vonesh,et al.  A note on the use of Laplace's approximation for nonlinear mixed-effects models , 1996 .

[69]  F. Lieutier,et al.  Fungal flora associated with Ips typographus: frequency, virulence, and ability to stimulate the host defence reaction in relation to insect population levels , 2005 .

[70]  S. Barras REDUCTION OF PROGENY AND DEVELOPMENT IN THE SOUTHERN PINE BEETLE FOLLOWING REMOVAL OF SYMBIOTIC FUNGI , 1973, The Canadian Entomologist.

[71]  Brian H. Aukema,et al.  Landscape level analysis of mountain pine beetle in British Columbia, Canada: spatiotemporal development and spatial synchrony within the present outbreak , 2006 .

[72]  M. Jennions,et al.  How much variance can be explained by ecologists and evolutionary biologists? , 2002, Oecologia.

[73]  D. Langor Arthropods and nematodes co-occurring with the eastern larch beetle,Dendroctonus simplex [Col.: Scolytidae], in Newfoundland , 1991, Entomophaga.

[74]  Kenneth F. Raffa,et al.  FEEDBACK BETWEEN INDIVIDUAL HOST SELECTION BEHAVIOR AND POPULATION DYNAMICS IN AN ERUPTIVE HERBIVORE , 2004 .

[75]  K. Raffa,et al.  Bark beetles and fungal associates colonizing white spruce in the Great Lakes region , 2002 .