Literature DB >> 27706817

Fluorescence Imaging of Posterior Spiracles from Second and Third Instars of Forensically Important Chrysomya rufifacies (Diptera: Calliphoridae).

Danielle Flores1,2, Amy L Miller2, Angelique Showman1,3, Caitlyn Tobita1, Lori M N Shimoda1, Carl Sung1, Alexander J Stokes4, Jeffrey K Tomberlin5, David O Carter2, Helen Turner1.   

Abstract

Entomological protocols for aging blowfly (Diptera: Calliphoridae) larvae to estimate the time of colonization (TOC) are commonly used to assist in death investigations. While the methodologies for analyzing fly larvae differ, most rely on light microscopy, genetic analysis, or, more rarely, electron microscopy. This pilot study sought to improve resolution of larval stage in the forensically important blowfly Chrysomya rufifacies using high-content fluorescence microscopy and biochemical measures of developmental marker proteins. We established fixation and mounting protocols, defined a set of measurable morphometric criteria and captured developmental transitions of 2nd instar to 3rd instar using both fluorescence microscopy and anti-ecdysone receptor Western blot analysis. The data show that these instars can be distinguished on the basis of robust, nonbleaching, autofluorescence of larval posterior spiracles. High-content imaging techniques using confocal microscopy, combined with morphometric and biochemical techniques, may therefore aid forensic entomologists in estimating TOC.
© 2016 American Academy of Forensic Sciences.

Entities:  

Keywords:  calliphoridae; fluorescence microscopy; forensic entomology; forensic science; postmortem interval

Mesh:

Year:  2016        PMID: 27706817      PMCID: PMC5118101          DOI: 10.1111/1556-4029.13189

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


  26 in total

Review 1.  A brief history of forensic entomology.

Authors:  M Benecke
Journal:  Forensic Sci Int       Date:  2001-08-15       Impact factor: 2.395

Review 2.  Forensic entomology in criminal investigations.

Authors:  E P Catts; M L Goff
Journal:  Annu Rev Entomol       Date:  1992       Impact factor: 19.686

Review 3.  Introduction to confocal microscopy.

Authors:  Adaobi Nwaneshiudu; Christiane Kuschal; Fernanda H Sakamoto; R Rox Anderson; Kathryn Schwarzenberger; Roger C Young
Journal:  J Invest Dermatol       Date:  2012-12       Impact factor: 8.551

4.  Environmental factors affecting early carcass attendance by four species of blow flies (Diptera: Calliphoridae) in Texas.

Authors:  Rachel M Mohr; Jeffery K Tomberlin
Journal:  J Med Entomol       Date:  2014-05       Impact factor: 2.278

Review 5.  Entomotoxicology. A new area for forensic investigation.

Authors:  M L Goff; W D Lord
Journal:  Am J Forensic Med Pathol       Date:  1994-03       Impact factor: 0.921

Review 6.  From embryogenesis to metamorphosis: the regulation and function of Drosophila nuclear receptor superfamily members.

Authors:  C S Thummel
Journal:  Cell       Date:  1995-12-15       Impact factor: 41.582

Review 7.  Steroid receptors and orphan receptors in Drosophila development.

Authors:  W A Segraves
Journal:  Semin Cell Biol       Date:  1994-04

8.  Laboratory development and field validation of Phormia regina (Diptera: Calliphoridae).

Authors:  Carolina Núñez-Vázquez; Jeffery K Tomberlin; Mario Cantú-Sifuentes; Oswaldo García-Martínez
Journal:  J Med Entomol       Date:  2013-03       Impact factor: 2.278

9.  Effects of temperature and tissue type on the development of Cochliomyia macellaria (Diptera: Calliphoridae).

Authors:  Stacy A Boatright; Jeffery K Tomberlin
Journal:  J Med Entomol       Date:  2010-09       Impact factor: 2.278

10.  Identification of host DNA by amplified fragment length polymorphism analysis: preliminary analysis of human crab louse (Anoplura: Pediculidae) excreta.

Authors:  J Replogle; W D Lord; B Budowle; T L Meinking; D Taplin
Journal:  J Med Entomol       Date:  1994-09       Impact factor: 2.278

View more
  1 in total

1.  Assessment of deep convolutional neural network models for species identification of forensically-important fly maggots based on images of posterior spiracles.

Authors:  Darlin Apasrawirote; Pharinya Boonchai; Paisarn Muneesawang; Wannacha Nakhonkam; Nophawan Bunchu
Journal:  Sci Rep       Date:  2022-03-19       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.