Literature DB >> 24727206

Use of wing morphometrics to identify populations of the Old World screwworm fly, Chrysomya bezziana (Diptera: Calliphoridae): a preliminary study of the utility of museum specimens.

M J R Hall1, N MacLeod2, A H Wardhana3.   

Abstract

The Old World screwworm (OWS) fly, Chrysomya bezziana (Diptera: Calliphoridae), is a major economic and welfare problem for humans and animals in the Old World tropics. Using a bootstrapped log likelihood ratio test of the output of Procrustes principal components and canonical variates analyses for a small sample of museum specimens from which 19 2D wing landmarks had been collected: (1) a consistent and statistically significant difference exists between landmark configurations derived from wings of pinned specimens and those removed from the body and mounted on slides; (2) a highly statistically significant sexual dimorphism in wing morphometry was identified; and (3) a highly statistically significant difference in wing morphometry between populations of the OWS fly from Africa (Tanzania, South Africa Sudan, Zaire, Zimbabwe,) and Asia (Sumba, Indonesia) exists. These results show that wing orientation and gender must be considered when conducting morphometric investigations of OWS fly wings. The latter result is also consistent with results from previous molecular and morphological studies, which indicate there are two distinct genetic lineages within this species. Wing morphometry holds great promise as a practical tool to aid in identification of the geographical origin of introductions of this important pest species, by providing diagnostic markers to distinguish geographical populations and complement molecular diagnostics.
Copyright © 2014 International Atomic Energy Agency 2014. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chrysomya bezziana; Museum collections; Old World screwworm fly; Traumatic myiasis; Wing morphometrics

Mesh:

Year:  2014        PMID: 24727206     DOI: 10.1016/j.actatropica.2014.03.023

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  9 in total

1.  Molecular and morphometric divergence of four species of butterflies (Nymphalidae and Pieridae) from the Western Himalaya, India.

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2.  Morphology-Based Identification of Bemisia tabaci Cryptic Species Puparia via Embedded Group-Contrast Convolution Neural Network Analysis.

Authors:  Norman MacLeod; Roy J Canty; Andrew Polaszek
Journal:  Syst Biol       Date:  2022-08-10       Impact factor: 9.160

3.  Wing morphometrics as a tool in species identification of forensically important blow flies of Thailand.

Authors:  Narin Sontigun; Kabkaew L Sukontason; Barbara K Zajac; Richard Zehner; Kom Sukontason; Anchalee Wannasan; Jens Amendt
Journal:  Parasit Vectors       Date:  2017-05-10       Impact factor: 3.876

4.  Semi-automated quantitative Drosophila wings measurements.

Authors:  Sheng Yang Michael Loh; Yoshitaka Ogawa; Sara Kawana; Koichiro Tamura; Hwee Kuan Lee
Journal:  BMC Bioinformatics       Date:  2017-06-28       Impact factor: 3.169

5.  Identification of Muscidae (Diptera) of medico-legal importance by means of wing measurements.

Authors:  Andrzej Grzywacz; Jakub Ogiela; Adam Tofilski
Journal:  Parasitol Res       Date:  2017-03-16       Impact factor: 2.289

6.  Machine-learning strategies for testing patterns of morphological variation in small samples: sexual dimorphism in gray wolf (Canis lupus) crania.

Authors:  Norman MacLeod; Liora Kolska Horwitz
Journal:  BMC Biol       Date:  2020-09-03       Impact factor: 7.431

7.  A molecular, morphological, and physiological comparison of English and German populations of Calliphora vicina (Diptera: Calliphoridae).

Authors:  Kwankamol Limsopatham; Martin J R Hall; Richard Zehner; Barbara K Zajac; Marcel A Verhoff; Narin Sontigun; Kom Sukontason; Kabkaew L Sukontason; Jens Amendt
Journal:  PLoS One       Date:  2018-12-03       Impact factor: 3.240

8.  Imaging natural history museum collections from the bottom up: 3D print technology facilitates imaging of fluid-stored arthropods with flatbed scanners.

Authors:  Patina K Mendez; Sangyeon Lee; Chris E Venter
Journal:  Zookeys       Date:  2018-11-05       Impact factor: 1.546

9.  What you sample is what you get: ecomorphological variation in Trithemis (Odonata, Libellulidae) dragonfly wings reconsidered.

Authors:  Norman MacLeod; Benjamin Price; Zackary Stevens
Journal:  BMC Ecol Evol       Date:  2022-04-11
  9 in total

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