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Gene Expression During Blow Fly Development: Improving the Precision of Age Estimates in Forensic Entomology * ,†
Author(s) -
Tarone Aaron M.,
Foran David R.
Publication year - 2011
Publication title -
journal of forensic sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.715
H-Index - 96
eISSN - 1556-4029
pISSN - 0022-1198
DOI - 10.1111/j.1556-4029.2010.01632.x
Subject(s) - forensic entomology , lucilia , instar , biology , calliphoridae , developmental stage , expression (computer science) , pupa , computational biology , larva , toxicology , forensic science , genetics , computer science , ecology , psychology , developmental psychology , programming language
Forensic entomologists use size and developmental stage to estimate blow fly age, and from those, a postmortem interval. Since such estimates are generally accurate but often lack precision, particularly in the older developmental stages, alternative aging methods would be advantageous. Presented here is a means of incorporating developmentally regulated gene expression levels into traditional stage and size data, with a goal of more precisely estimating developmental age of immature Lucilia sericata . Generalized additive models of development showed improved statistical support compared to models that did not include gene expression data, resulting in an increase in estimate precision, especially for postfeeding third instars and pupae. The models were then used to make blind estimates of development for 86 immature L. sericata raised on rat carcasses. Overall, inclusion of gene expression data resulted in increased precision in aging blow flies.