Development of a qPCR-based method for counting overwintering spruce budworm (Choristoneura fumiferana) larvae collected during fall surveys and for assessing their natural enemy load: a proof-of-concept study

BACKGROUND In eastern Canada, surveys of overwintering 2(nd) instar spruce budworm (Choristoneura fumiferana) larvae ('L2s') are carried out each fall to guide insecticide application decisions in the following spring. These surveys involve the collection of fir and spruce branches in selected stands, followed by the mechanical/chemical removal of larvae. The latter then are counted manually on filter papers, using a stereomicroscope. Considering the significant effort and difficulties which this manual counting entails, we developed a quantitative (q)PCR-based 'molecular counting' approach designed to make this step less tedious. RESULTS Using the C. fumiferana mitochondrial cytochrome c oxidase 1 (COI) gene as a target for qPCR DNA quantification, we show that the amount of DNA in a larval extract is strongly correlated with the number of larvae used to generate that extract, and that molecular estimates of L2 counts are comparable to those generated using the manual approach. In addition, we used the same DNA extracts to monitor the microsporidian pathogen Nosema fumiferanae, and the hymenopteran parasitoids Glypta fumiferanae and Apanteles fumiferanae in overwintering L2s employing a subset of a TaqMan assay developed by Nisole et al. (2020) for the identification of budworm natural enemies. We show that the proportion of individuals affected by each natural enemy in samples containing a known number of larvae can be estimated from presence/absence data through the binomial probability distribution. CONCLUSION The present proof-of-principle study shows that a molecular approach for counting L2s and assessing their natural enemy load is clearly possible and is expected to generate reliable results.