Literature DB >> 25833168

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

Michèle Baqué1, Jens Amendt, Marcel A Verhoff, Richard Zehner.   

Abstract

The analysis of insect evidence is often used in death investigations as the development of necrophagous insect species can be used to determine a minimum post-mortem interval (PMImin). Usually, the PMImin estimations are based on the age estimation of larvae developed on the corpse. So far, age estimation mostly relies on length or weight measurement of the larvae. These measurements are then compared to species-specific reference growth data obtained from laboratory studies. However, length and weight do not always represent the best developmental markers to provide accurate and precise age estimates for PMImin calculation, especially for post-feeding third-instar larvae which decrease in size. Therefore, more growth markers are required to improve age estimation not only for post-feeding larvae but also for all larval stages. As the analysis of temporally regulated genes proved suitable for age prediction in blow fly pupae, we examined the gene expression patterns of six genes (15_2, 2014192, EcdR, AR, hsp90 and actin) during larval development of Calliphora vicina at three constant temperatures and analysed the effect of a combination of morphological and molecular age markers on statistical models of development. EcdR, AR and 15_2 showed reliable tendencies to classify the post-feeding stage more precisely, and inclusion of gene expression data in models of development improved the statistical fit of the model. Nevertheless, for depicting the first larval stages and for quantifying the onset of the post-feeding stage more accurately, results of this preliminary study should be supported by searching for more informative genes.

Entities:  

Mesh:

Substances:

Year:  2015        PMID: 25833168     DOI: 10.1007/s00414-015-1180-8

Source DB:  PubMed          Journal:  Int J Legal Med        ISSN: 0937-9827            Impact factor:   2.686


  29 in total

Review 1.  Medicolegal relevance of cadaver entomofauna for the determination of the time of death.

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

2.  Strengthen forensic entomology in court--the need for data exploration and the validation of a generalised additive mixed model.

Authors:  Michèle Baqué; Jens Amendt
Journal:  Int J Legal Med       Date:  2012-02-28       Impact factor: 2.686

3.  Internal morphological analysis for age estimation of blow fly pupae (Diptera: Calliphoridae) in postmortem interval estimation.

Authors:  Katherine Davies; Michelle L Harvey
Journal:  J Forensic Sci       Date:  2012-05-23       Impact factor: 1.832

Review 4.  Best practice in forensic entomology--standards and guidelines.

Authors:  Jens Amendt; Carlo P Campobasso; Emmanuel Gaudry; Christian Reiter; Hélène N LeBlanc; Martin J R Hall
Journal:  Int J Legal Med       Date:  2006-04-22       Impact factor: 2.686

5.  Aging blow fly eggs using gene expression: a feasibility study.

Authors:  Aaron M Tarone; Kimberley C Jennings; David R Foran
Journal:  J Forensic Sci       Date:  2007-11       Impact factor: 1.832

6.  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

7.  De novo transcriptome analysis and highly sensitive digital gene expression profiling of Calliphora vicina (Diptera: Calliphoridae) pupae using MACE (Massive Analysis of cDNA Ends).

Authors:  B K Zajac; J Amendt; R Horres; M A Verhoff; R Zehner
Journal:  Forensic Sci Int Genet       Date:  2014-11-21       Impact factor: 4.882

8.  Models of development for blowfly sister species Chrysomya chloropyga and Chrysomya putoria.

Authors:  C S Richards; K L Crous; M H Villet
Journal:  Med Vet Entomol       Date:  2009-03       Impact factor: 2.739

9.  The Drosophila EcR gene encodes an ecdysone receptor, a new member of the steroid receptor superfamily.

Authors:  M R Koelle; W S Talbot; W A Segraves; M T Bender; P Cherbas; D S Hogness
Journal:  Cell       Date:  1991-10-04       Impact factor: 41.582

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

View more
  4 in total

1.  Temporal Expression Profiles Reveal Potential Targets during Postembryonic Development of Forensically Important Sarcophaga peregrina (Diptera: Sarcophagidae).

Authors:  Lipin Ren; Yanjie Shang; Xiangyan Zhang; Shan Chen; Yunna Zheng; Ying Zou; Yihong Qu; Jifeng Cai; Changquan Zhang; Yadong Guo
Journal:  Insects       Date:  2022-05-12       Impact factor: 3.139

2.  Hyperspectral measurements of immature Lucilia sericata (Meigen) (Diptera: Calliphoridae) raised on different food substrates.

Authors:  Jodie A Warren; T D Pulindu Ratnasekera; David A Campbell; Gail S Anderson
Journal:  PLoS One       Date:  2018-02-13       Impact factor: 3.240

3.  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

Review 4.  Forensic Entomology in China and Its Challenges.

Authors:  Yu Wang; Yinghui Wang; Man Wang; Wang Xu; Yanan Zhang; Jiangfeng Wang
Journal:  Insects       Date:  2021-03-08       Impact factor: 2.769

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.