Ranking common predators of Bemisia tabaci in Georgia (USA) agricultural landscapes with diagnostic PCR: implications of primer specific post-feeding detection time

Developing a successful biological control program relies on understanding predator-prey interactions in agroecosystem field settings. Among several methods used, molecular gut content analysis (MGCA) has become a popular method to measure predator contributions to pest control services. Once MGCA is applied to diagnose predator-prey interactions, the DNA detectability half-life is often applied to adjust for differences in prey digestion time among predators. Although MGCA best practices are well established, with many primers available, further work is needed to rank among published primers for MGCA. Using a combination of laboratory feeding trials and application of diagnostic MGCA to field collected predators, we investigated Bemisia tabaci post-feeding detection times in three dominant predator functional groups (chewing, piercing/sucking, and spiders). This was based on three published B. tabaci-specific primers. These data reveal that primer choice generated significantly different B. tabaci DNA half-lives in predator gut content. The primers with longer half-life resulted in higher field predation frequency estimation. Our field data using the primer with the longest half-life suggest several abundant predators, including Hippodamia convergens, Geocoris punctipes, Orius spp., Thomisidae spider, and fire ants (Solenopsis invicta), are actively feeding on B. tabaci in cotton fields. Orius spp. and fire ants were the most abundant predator species in our study area and contributed the most to B. tabaci control. Our results suggest that primers can be classified based on their specific DNA half-lives and can be used to address different ecological questions such as how to study time-specific predation detection (nocturnal or diurnal).

Automated summary

Developing a successful biological control program relies on understanding predator-prey interactions in agroecosystem field settings. Molecular gut content analysis (MGCA) has become a popular method to measure predator contributions to pest control services. DNA detectability half-life is often used to adjust for differences in prey digestion time among predators.