Recipient Organization
COLORADO STATE UNIVERSITY
(N/A)
FORT COLLINS,CO 80523
Performing Department
Forest and Rangeland Stewardship
Non Technical Summary
In this project CSU scientists will determine the rate of infection of an emerging disease complex (pine wilt nematode) that threatens forest health in Colorado and elsewhere. The project will focus on assessing forests in the Front Range region of Colorado, and evaluating several species of insect for their potential to vector this disease. CSU scientistswill also construct simple behavioral models that can be used to estimate timing of disease exposure from insect vectors. To achieve these goals, researchers will employ basic forestry and field ecology measurements, as well as genomic techniques and statistical modelling procedures. Ultimately, these approaches are intended to increase knowledge about a potentially harmful forest disease and provide new knowledge to practitioners that can be used to develop management strategies.
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
0%
Goals / Objectives
The major goals of this project are to:(1) Assess the incidence of pine wilt nematode disease in forests of the Front Range region of Colorodo;(2) Determine the primary insect vector of the disease and vector density; and(3) Produce a flight phenology model to describe potential windows of disease exposure based on vector behaviors.
Project Methods
Objective 1: Determine incidence of PWN in Front Range forests50 1-ha fixed area plots will be established in stands containing P. ponderosa and/or P. contorta on public lands across five counties in the Front Range, including Larimer, Boulder, Jefferson, Teller, and El Paso counties. Ten plots will be distributed latitudinally within each county, and plot corners will be marked using rebar and GPS coordinates. During each project field season, trees on each fixed area plot will be censused for symptoms consistent with PWN.Trees displaying disease symptoms consistent with PWN, including slowed current years' growth, needle discoloration, crown dieback, and branch death. Five 3 cm × 10 cm cores will be extracted from the branches and/or bole of symptomatic trees. In the lab, samples will be cut into 3 cm3 pieces. Testing for PWN will include both extraction of nematodes from wood and direct molecular testing on wood. For each wood sample, 50g will be placed into a Baermann funnel to release nematodes from wood. Extracted nematodes will be identified using both morphological charactersor using a species-specific molecular assay. This molecular assay is a Loop-mediated isothermal amplification (LAMP) procedure that requires no thermal cycling due to its complex primer design. To utilize this assay, total genomic DNA will be extracted from nematodes using the DNeasy Blood and Tissue Mini kit (Qiagen, Germantown, MD) following manufacturers specifications. Lastly, 5g of each wood sample will also be tested directly using the species-specific LAMP assay to determine presence of PWN.Analytical approach: Simple parametric tests (two-sample Student's t-test) will be used to compare the mean frequency of infection between both potential host species (P. ponderosa and P. contorta). We will use ANOVA methods to compare the response of mean proportion of infected trees due to the fixed effect of 'county'-allowing for conclusions about which counties support the greatest incidence of PWN.Objective 2: Characterize the primary insect vectors of PWN in the Front Range and evaluate vector abundanceInsect vectors (Monochamus spp.) will be surveyed using a targeted trapping approach to assess vector flight timing and abundance in the 2018 and 2019 field seasons.On half of the plots (N=25, five trapping sites in each county, randomly chosen from forest survey plots), black crossvane traps will bedeployedand baited with a lure containing the sex pheromone monochamol (2-undecyloxy-1-ethanol) and a proprietary blend of host volatiles. Baited traps will be collected weekly from May-October. Typically, one lure per trap is sufficient to retain attractancy throughout the field season, and traps will be placed at a height of 1.5 m between the collection cup and the ground surface.Trap contents will be sorted and identified by project staff. Degree-day accumulation (base 10°C) will be recorded throughout the sampling period each year at trapping sites using data loggers.Monochamus spp. captured in flight traps will be assayed for the presence of PWN. Briefly, insects will be macerated in 2 ml of sterile distilled water. Released nematodes will be both morphologically and molecularly identified. The species specific molecular assay, LAMP, will be used to verify the presence of PWN . Using an inverted glass microscope slide, the number of nematodes in 1ml will be used to extrapolate the total number of nematodes (i.e., PWN/beetle) carried by each insect.Analytical approach: Parametric tests (two-sample Student's t-test) will be used to compare mean PWN/beetle between the two potential vector species (M. clamator and M. scutellatus), as well as any other wood-boring insects that are consistently identified as associated with PWN. ANOVA methods will also be used to examine the fixed effect of 'county' on the response of mean abundance of captured insect vectors.Objective 3: Develop a phenology model to determine the potential window of exposure to PWNInsect phenology models will bedeveloped from trapping studiesto predict the temporal window of exposure of plant populations to insect pests. Cumulative trap captures of vector insects will be modeled as a function of multiple predictor variables including ordinal day (i.e., day-of-year), thermal accumulations (degree-days base 10°C), and thermal thresholds (number of days ≥10°C) using a two-parameter logistic model. Models based on each predictor variable (day-of-year, thermal accumulation, or thermal threshold) will be compared using Akaike's information criterion (AIC), and the model minimizing AIC will be selected for further interpretation.These models can be used to predict the cumulative proportion (percent) of the vector population that has initiated directed flight in response to attractive odor sources.By modeling beetle flight in this way practitioners can easily determine probable initiation and terminus of the flight period as well as the relative proportion of the population which has initiated host-finding or mate-finding behavior. Host-finding and mate-finding are coincident with primary and secondary transmission of PWN, thus, these models can be used to predict probable periods of tree exposure to PWN vectors. Flight phenology models will be produced for both M. scutellatus and M. clamator. An additional flight phenology model will be constructed based on the pooled number of Monochamus beetles (i.e., incorporating both species) that are infective at each weekly collection period.Analytical approach: Analysis will be addressed using a model comparison approach, employing a metric of model parsimony (AIC) to evaluate logistic models constructed using different predictor variables. A 'best' model will be identified in this way for both M. scutellatus and M. clamator.