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A molecular approach to unravel trophic interactions between parasitoids and hyperparasitoids associated with pecan aphids.
- Source :
-
Journal of Insect Science . Jul2024, Vol. 24 Issue 4, p1-8. 8p. - Publication Year :
- 2024
-
Abstract
- Advances in molecular ecology can overcome many challenges in understanding host–parasitoid interactions. Genetic characterization of the key-players in systems helps to confirm species and identify trophic linkages essential for ecological service delivery by biological control agents; however, relatively few agroecosystems have been explored using this approach. Pecan production consists of a large tree perennial system containing an assortment of seasonal pests and natural enemies. As a first step to characterizing host–parasitoid associations in pecan food webs, we focus on aphid species and their parasitoids. Based on DNA barcoding of field-collected and reared specimens, we confirmed the presence of 3 species of aphid, one family of primary parasitoids, and 5 species of hyperparasitoids. By applying metabarcoding to field-collected aphid mummies, we were able to identify multiple species within each aphid mummy to unravel a complex food web of 3 aphids, 2 primary parasitoids, and upward of 8 hyperparasitoid species. The results of this study demonstrate that multiple hyperparasitoid species attack a single primary parasitoid of pecan aphids, which may have negative consequences for successful aphid biological control. Although further research is needed on a broader spatial scale, our results suggest multiple species exist in this system and may suggest a complex set of interactions between parasitoids, hyperparasitoids, and the 3 aphid species. This was the first time that many of these species have been characterized and demonstrates the application of novel approaches to analyze the aphid-parasitoid food webs in pecans and other tree crop systems. [ABSTRACT FROM AUTHOR]
- Subjects :
- *BIOLOGICAL pest control agents
*PECAN
*TREE crops
*GENETIC barcoding
APHID control
Subjects
Details
- Language :
- English
- ISSN :
- 15362442
- Volume :
- 24
- Issue :
- 4
- Database :
- Academic Search Index
- Journal :
- Journal of Insect Science
- Publication Type :
- Academic Journal
- Accession number :
- 180087966
- Full Text :
- https://doi.org/10.1093/jisesa/ieae071