Gene silencing for invasive paper wasp management: Synthesized dsRNA can modify gene expression but did not affect mortality.
Mariana BulgarellaJames W BatyRose McGruddyPhilip J LesterPublished in: PloS one (2023)
Invasive paper wasps such as Polistes dominula are a major pest and problem for biodiversity around the globe. Safe and highly targeted methods for the control of these and other social wasp populations are needed. We attempted to identify potentially-lethal gene targets that could be used on adult paper wasps in a gene silencing or RNA interference (RNAi) approach. Double-stranded RNA (dsRNA) was designed to target genes for which silencing has proven lethal in other insects. dsRNA was provided either orally to foragers or directly injected into the wasps. We also provided the dsRNA unprotected or protected from degradation by gut nucleases in two different forms (lipofectamine and carbon quantum dots). The effects of oral delivery of 22 different gene targets to forager wasps was evaluated. The expression of five different genes was successfully reduced following dsRNA ingestion or injection. These gene targets included the FACT complex subunit spt16 (DRE4) and RNA-binding protein fusilli (FUSILLI), both of which have been previously shown to have potential as lethal targets for pest control in other insects. However, we found no evidence of significant increases in adult wasp mortality following ingestion or injection of dsRNA for these genes when compared with control treatments in our experiments. The methods we used to protect the dsRNA from digestive degradation altered gene expression but similarly did not influence wasp mortality. Our results indicate that while many of the same gene targets can be silenced and induce mortality in other insects, dsRNA and RNAi approaches may not be useful for paper wasp control.
Keyphrases
- genome wide
- genome wide identification
- gene expression
- dna methylation
- binding protein
- copy number
- cardiovascular events
- genome wide analysis
- quantum dots
- transcription factor
- risk factors
- healthcare
- poor prognosis
- cardiovascular disease
- mental health
- coronary artery disease
- bioinformatics analysis
- ultrasound guided
- crispr cas
- young adults
- genetic diversity