Cargando…

Connecting the Dots: From an Easy Method to Computerized Species Determination

Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS)...

Descripción completa

Detalles Bibliográficos
Autores principales: Niederegger, Senta, Döge, Klaus-Peter, Peter, Marcus, Eickhölter, Tobias, Mall, Gita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492066/
https://www.ncbi.nlm.nih.gov/pubmed/28524106
http://dx.doi.org/10.3390/insects8020052
_version_ 1783247251795083264
author Niederegger, Senta
Döge, Klaus-Peter
Peter, Marcus
Eickhölter, Tobias
Mall, Gita
author_facet Niederegger, Senta
Döge, Klaus-Peter
Peter, Marcus
Eickhölter, Tobias
Mall, Gita
author_sort Niederegger, Senta
collection PubMed
description Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS) patterns on the inside of the cuticula of fly larvae are species specific and grow proportionally with the animal. The patterns can therefore be used for species identification, as well as age estimation in forensically important dipteran larvae. Additionally, in species where determination has proven to be difficult—even when employing genetic methods—this easy and cheap method can be successfully applied. The method was validated for a number of Calliphoridae, as well as Sarcophagidae; for Piophilidae species, however, the method proved to be inapt. The aim of this article is to assess the utility of the MAS method for applications in forensic entomology. Furthermore, the authors are currently engineering automation for pattern acquisition in order to expand the scope of the method. Automation is also required for the fast and reasonable application of MAS for species determination. Using filters on digital microscope pictures and cross-correlating them within their frequency range allows for a calculation of the correlation coefficients. Such pattern recognition permits an automatic comparison of one larva with a database of MAS reference patterns in order to find the correct, or at least the most likely, species. This facilitates species determination in immature stages of forensically important flies and economizes time investment, as rearing to adult flies will no longer be required.
format Online
Article
Text
id pubmed-5492066
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-54920662017-07-03 Connecting the Dots: From an Easy Method to Computerized Species Determination Niederegger, Senta Döge, Klaus-Peter Peter, Marcus Eickhölter, Tobias Mall, Gita Insects Article Differences in growth rate of forensically important dipteran larvae make species determination an essential requisite for an accurate estimation of time since colonization of the body. Interspecific morphological similarities, however, complicate species determination. Muscle attachment site (MAS) patterns on the inside of the cuticula of fly larvae are species specific and grow proportionally with the animal. The patterns can therefore be used for species identification, as well as age estimation in forensically important dipteran larvae. Additionally, in species where determination has proven to be difficult—even when employing genetic methods—this easy and cheap method can be successfully applied. The method was validated for a number of Calliphoridae, as well as Sarcophagidae; for Piophilidae species, however, the method proved to be inapt. The aim of this article is to assess the utility of the MAS method for applications in forensic entomology. Furthermore, the authors are currently engineering automation for pattern acquisition in order to expand the scope of the method. Automation is also required for the fast and reasonable application of MAS for species determination. Using filters on digital microscope pictures and cross-correlating them within their frequency range allows for a calculation of the correlation coefficients. Such pattern recognition permits an automatic comparison of one larva with a database of MAS reference patterns in order to find the correct, or at least the most likely, species. This facilitates species determination in immature stages of forensically important flies and economizes time investment, as rearing to adult flies will no longer be required. MDPI 2017-05-18 /pmc/articles/PMC5492066/ /pubmed/28524106 http://dx.doi.org/10.3390/insects8020052 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Niederegger, Senta
Döge, Klaus-Peter
Peter, Marcus
Eickhölter, Tobias
Mall, Gita
Connecting the Dots: From an Easy Method to Computerized Species Determination
title Connecting the Dots: From an Easy Method to Computerized Species Determination
title_full Connecting the Dots: From an Easy Method to Computerized Species Determination
title_fullStr Connecting the Dots: From an Easy Method to Computerized Species Determination
title_full_unstemmed Connecting the Dots: From an Easy Method to Computerized Species Determination
title_short Connecting the Dots: From an Easy Method to Computerized Species Determination
title_sort connecting the dots: from an easy method to computerized species determination
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492066/
https://www.ncbi.nlm.nih.gov/pubmed/28524106
http://dx.doi.org/10.3390/insects8020052
work_keys_str_mv AT niedereggersenta connectingthedotsfromaneasymethodtocomputerizedspeciesdetermination
AT dogeklauspeter connectingthedotsfromaneasymethodtocomputerizedspeciesdetermination
AT petermarcus connectingthedotsfromaneasymethodtocomputerizedspeciesdetermination
AT eickholtertobias connectingthedotsfromaneasymethodtocomputerizedspeciesdetermination
AT mallgita connectingthedotsfromaneasymethodtocomputerizedspeciesdetermination