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Molecular, morphometric and digital automated identification of three Diaphorina species (Hemiptera: Liviidae)

Published online by Cambridge University Press:  11 February 2021

Mohammadreza Lashkari Open the ORCID record for Mohammadreza Lashkari [Opens in a new window] ,
Daniel Burckhardt Open the ORCID record for Daniel Burckhardt [Opens in a new window]  and
Shima Kashef
Mohammadreza Lashkari*
Affiliation:
Department of Biodiversity, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran
Daniel Burckhardt
Affiliation:
Naturhistorisches Museum, Augustinergasse 2, 4001 Basel, Switzerland
Shima Kashef
Affiliation:
Vajeh Intelligent Systems Research Group, Kerman, Iran
*
Author for correspondence: Mohammadreza Lashkari, Email: [email protected]; [email protected]
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Abstract

Diaphorina is a species-rich genus, native to the tropics and subtropics of the Old World, particularly of more arid regions. One of the species, Diaphorina citri, is the economically most important pest of citrus. Diaphorina species are morphologically similar which makes their identification difficult. In this study, the accuracy of DNA barcoding, using mitochondrial cytochrome c oxidase subunit 1 (COI), geometric morphometrics of the forewing and digital image processing methods were tested for identification of the three Diaphorina species: D. chobauti, D. citri and D. zygophylli. Moreover, the published COI sequences of D. citri, D. communis and D. lycii obtained from Genbank were used for cluster analyses. DNA barcodes for D. chobauti and D. zygophylli are deposited in Genbank for the first time. The results of the molecular and geometric morphometric analyses are congruent and place D. chobauti as the sister taxon of the other Diaphorina species. The geometric morphometric analysis shows that in D. zygophylli the fore margin is slightly curved proximally and sharply bent distally, while in D. chobauti and D. citri it is straight proximally and weakly bent distally. The results of digital image processing show that the distribution of the dark pattern differs consistently in the three studied species.

Keywords

Asian citrus psyllidcytochrome oxidase 1Diaphorina citriDNA barcodinggeometric morphometricsimage processing
Type
Research Paper
Information
Bulletin of Entomological Research , Volume 111 , Issue 4 , August 2021 , pp. 411 - 419
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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