Metabarcoding of Gut Content Reveals the Trophic Interactions and
Dietary Breadth of an Artificially Released Generalist Predator in
Agricultural Landscapes
Abstract
A limited understanding of the feeding habits of ecosystem service
providers is a notable obstacle to the deployment of natural enemies in
pest management. Understanding the dietary diversity of predators can
enhance conservation strategies and assess their effects on pest
populations. In this study, we used metabarcoding of DNA extracted from
the gut contents of an artificially released generalist predator,
Eocanthecona furcellata, collected from tobacco cultivation fields in
Yunnan Province, China. We aimed to investigate prey composition,
selectivity, and efficiency of biological control. Among the 253
individuals of E. furcellata, we detected diverse potential prey,
comprising 53 insect species across 28 families and seven orders.
Several agricultural pests, including Spodoptera exigua, S. litura,
Helicoverpa armigera, and Agrotis segetum, were identified. Diptera are
important in the diet of E. furcellata, with 22 species from 14 families
accounting for 52.2% of the observed predation events. E. furcellata
consumed certain beneficial predators present in the tobacco fields,
such as carabid beetles, hoverflies, wasps, and lacewings, although the
incidence was generally low, except for Syrphidae. Our findings revealed
previously unidentified trophic linkages involving E. furcellata with
pest species and other biological control agents, as well as with
neutral insects in tobacco fields. These insights contribute to the
development of targeted biological control programs to manage key pests
in this agroecosystem. This study establishes an important foundation
for integrating metabarcoding technology into biological control
research, particularly for elucidating trophic interactions between
natural insect enemies, piercing-sucking mouthparts, and their prey.