Development Modeling of Lucilia Sericata (Diptera: Calliphoridae)

• NCJ Number: 249431
• Author(s): Amanda Roe, Leon G. Higley
• Date Published: March 2015
• Length: 0 pages
• Agencies: NIJ-Sponsored
• Award: Establishing Blow Fly Development and Sampling Procedures to Estimate Postmortem Intervals

Annotation

This article reports on a series of experiments that were conducted with Lucilia sericata, a forensically important blow fly species, that met the requirements needed to create statistically valid development models.

Abstract

The relationship between insect development and temperature has been well established and has a wide range of uses, including the use of blow flies for postmortem (PMI) interval estimations in death investigations. To use insects in estimating PMI, investigators must be able to determine the insect age at the time of discovery and backtrack to time of oviposition. Unfortunately, existing development models of forensically important insects are only linear approximations and do not take into account the curvilinear properties experienced at extreme temperatures. In order to address this issue, the current series of experiments were conducted over 11 temperatures (7.5 to 32.5 °C, at 2.5 °C) with a 16:8 L:D cycle. Experimental units contained 20 eggs, 10 g beef liver, and 2.5 cm of pine shavings. Each life stage (egg to adult) had five sampling times. Each sampling time was replicated four times, for a total of 20 measurements per life stage. For each sampling time, the cups were pulled from the chambers and the stage of each maggot was documented morphologically through posterior spiracle slits and cephalopharyngeal skeletal development. Data were normally distributed with the later larval stages (L3f, L3m) having the most variation within and transitioning between stages. The biological minimum was between 7.5 °C and 10 °C, with little egg development and no egg emergence at 7.5 °C. Temperature-induced mortality was highest from 10.0 to 17.5 °C and 32.5 °C. The development data generated illustrate the advantages of large datasets in modeling Lucilia sericata development and the need for curvilinear models in describing development at environmental temperatures near the biological minima and maxima. (Publisher abstract modified)