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Rapid and specific detection of Pentastiridius leporinus by recombinase polymerase amplification assay

Published online by Cambridge University Press:  06 May 2024

Omid Eini Open the ORCID record for Omid Eini [Opens in a new window] ,
René Pfitzer  and
Mark Varrelmann
Omid Eini*
Affiliation:
Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079 Göttingen, Germany
René Pfitzer
Affiliation:
Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079 Göttingen, Germany Agricultural Entomology, Department of Crop Sciences, Faculty of Agricultural Sciences, University of Göttingen, Grisebachstrasse 6, 37077 Göttingen, Germany
Mark Varrelmann
Affiliation:
Institute of Sugar Beet Research, Holtenser Landstraße 77, 37079 Göttingen, Germany
*
Corresponding author: Omid Eini; Email: eini@ifz-goettingen.de
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Abstract

Pentastiridius leporinus (Hemiptera: Cixiidae) is the main vector of an emerging and fast spreading sugar beet disease, the syndrome ‘basses richesses’ (SBR), in different European countries. The disease is caused by the γ-3-proteobacterium ‘Candidatus Arsenophonus phytopathogenicus’ and the phytoplasma ‘Candidatus Phytoplasma solani’ which are exclusively transmitted by planthoppers and can lead to a significant loss of sugar content and yield. Monitoring of this insect vector is important for disease management. However, the morphological identification is time consuming and challenging as two additional cixiid species Reptalus quinquecostatus and Hyalesthes obsoletus with a very close morphology have been reported in sugar beet fields. Further, identification of females and nymphs of P. leporinus at species level based on taxonomic key is not possible. In this study, an isothermal nucleic acid amplification based on recombinase polymerase amplification (RPA) was developed to specifically detect P. leporinus. In addition, real-time RPA was developed to detect both adults (male and female) and nymph stages using pure or crude nucleic acid extracts. The sensitivity of the real-time RPA for detection of P. leporinus was comparable to real-time PCR, but a shorter time (< 7 min) was required. This is a first report for real-time RPA application for P. leporinus detection using crude nucleic acid templates which can be applied for fast and specific detection of this vector in the field.

Keywords

COI geneisothermal amplificationplanthopperreal-time PCRRPASBR disease
Type
Research Paper
Information
Bulletin of Entomological Research , First View , pp. 1 - 8
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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