Literature DB >> 21155802

Gene expression during blow fly development: improving the precision of age estimates in forensic entomology.

Aaron M Tarone1, David R Foran.   

Abstract

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.
© 2010 American Academy of Forensic Sciences.

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Year:  2010        PMID: 21155802     DOI: 10.1111/j.1556-4029.2010.01632.x

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  18 in total

1.  Differential gene expression during metamorphosis: a promising approach for age estimation of forensically important Calliphora vicina pupae (Diptera: Calliphoridae).

Authors:  Petra Boehme; Philipp Spahn; Jens Amendt; Richard Zehner
Journal:  Int J Legal Med       Date:  2012-05-04       Impact factor: 2.686

2.  The potential use of bacterial community succession in forensics as described by high throughput metagenomic sequencing.

Authors:  Jennifer L Pechal; Tawni L Crippen; M Eric Benbow; Aaron M Tarone; Scot Dowd; Jeffery K Tomberlin
Journal:  Int J Legal Med       Date:  2013-06-10       Impact factor: 2.686

3.  The analysis of temporal gene expression to estimate the age of forensically important blow fly pupae: results from three blind studies.

Authors:  Petra Boehme; Philipp Spahn; Jens Amendt; Richard Zehner
Journal:  Int J Legal Med       Date:  2013-11-01       Impact factor: 2.686

4.  Descriptive analyses of differentially expressed genes during larval development of Calliphora vicina (Diptera: Calliphoridae).

Authors:  Michèle Baqué; Jens Amendt; Marcel A Verhoff; Richard Zehner
Journal:  Int J Legal Med       Date:  2015-04-02       Impact factor: 2.686

5.  Calliphora vicina (Diptera: Calliphoridae) pupae: a timeline of external morphological development and a new age and PMI estimation tool.

Authors:  Katherine Brown; Alan Thorne; Michelle Harvey
Journal:  Int J Legal Med       Date:  2014-09-11       Impact factor: 2.686

6.  An evaluation of sampling methods used to produce insect growth models for postmortem interval estimation.

Authors:  Jeffrey D Wells; Melise C Lecheta; Mauricio O Moura; Lynn R LaMotte
Journal:  Int J Legal Med       Date:  2014-06-15       Impact factor: 2.686

7.  Dating Pupae of the Blow Fly Calliphora vicina Robineau-Desvoidy 1830 (Diptera: Calliphoridae) for Post Mortem Interval-Estimation: Validation of Molecular Age Markers.

Authors:  Barbara K Zajac; Jens Amendt; Marcel A Verhoff; Richard Zehner
Journal:  Genes (Basel)       Date:  2018-03-09       Impact factor: 4.096

8.  Diapause-specific gene expression in Calliphora vicina (Diptera: Calliphoridae)--a useful diagnostic tool for forensic entomology.

Authors:  Heike Fremdt; Jens Amendt; Richard Zehner
Journal:  Int J Legal Med       Date:  2013-09-29       Impact factor: 2.686

9.  Reflectance-based determination of age and species of blowfly puparia.

Authors:  Sasha C Voss; Paola Magni; Ian Dadour; Christian Nansen
Journal:  Int J Legal Med       Date:  2016-10-21       Impact factor: 2.686

10.  Thermal summation model and instar determination of all developmental stages of necrophagous beetle, Sciodrepoides watsoni (Spence) (Coleoptera: Leiodidae: Cholevinae).

Authors:  Pavel Jakubec
Journal:  PeerJ       Date:  2016-04-21       Impact factor: 2.984

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