Literature DB >> 27018442

Molecular Identification of an Invasive Wood-Boring Insect Lyctus brunneus (Coleoptera: Bostrichidae: Lyctinae) Using Frass by Loop-Mediated Isothermal Amplification and Nested PCR Assays.

Tatsuya Ide, Natsumi Kanzaki, Wakako Ohmura, Kimiko Okabe.   

Abstract

Lyctus brunneus (Stephens) is one of the most destructive and worldwide invasive pests of seasoned woods for wooden products. This and other pest Lyctus species have had their distribution expanded by international and domestic human transportation of infested wood and wood products. Rapid detection and accurate identification of Lyctus species are effective tools for helping to eradicate them in new introduction sites. The accurate species-level identification of adults requires expert knowledge about their morphology. However, it takes much time and effort to recover suitable adult specimens because they are borers inside wood. Frass of Lyctus species can easily be detected and recovered in and around infested wood. Thus, frass was tested to see if it was a suitable sample to allow development of a rapid and technically easy molecular detection and identification method for L.brunneus. Species-specific primers were designed from the cytochrome c oxidase subunit I region of L.brunneus and used in development and testing of methods for successfully identifying them from their frass using the loop-mediated isothermal amplification (LAMP) or species-specific nested polymerase chain reaction (PCR) assays. The LAMP assay was faster and more sensitive for detecting the presence of DNA derived from L.brunneus in their frass than the nested PCR assay. These methodologies will be applicable for the rapid detection and identification of other wood-boring invasive pests in regulatory applications.
© The Authors 2016. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  cytochrome c oxidase subunit I; loop-mediated isothermal amplification; molecular identification

Year:  2016        PMID: 27018442     DOI: 10.1093/jee/tow030

Source DB:  PubMed          Journal:  J Econ Entomol        ISSN: 0022-0493            Impact factor:   2.381


  6 in total

1.  A Diagnostic Loop-Mediated Isothermal Amplification Method to Distinguish Helicoverpa armigera (Lepidoptera: Noctuidae) From Other Related Species in the New World.

Authors:  Takayuki Amano; Masashi Nomura
Journal:  J Insect Sci       Date:  2020-05-01       Impact factor: 1.857

2.  Development of a loop-mediated isothermal amplification (LAMP) assay for the identification of the invasive wood borer Aromia bungii (Coleoptera: Cerambycidae) from frass.

Authors:  Domenico Rizzo; Nicola Luchi; Daniele Da Lio; Linda Bartolini; Francesco Nugnes; Giovanni Cappellini; Tommaso Bruscoli; Chiara Salemi; Raffaele V Griffo; Antonio P Garonna; Elisabetta Rossi
Journal:  3 Biotech       Date:  2021-01-19       Impact factor: 2.406

Review 3.  Drug Discovery Insights from Medicinal Beetles in Traditional Chinese Medicine.

Authors:  Stephen T Deyrup; Natalie C Stagnitti; Mackenzie J Perpetua; Siu Wah Wong-Deyrup
Journal:  Biomol Ther (Seoul)       Date:  2021-03-01       Impact factor: 4.634

4.  Non-Destructive Genotyping of Honeybee Queens to Support Selection and Breeding.

Authors:  Jernej Bubnič; Katarina Mole; Janez Prešern; Ajda Moškrič
Journal:  Insects       Date:  2020-12-21       Impact factor: 2.769

5.  eDNA-based detection of the invasive crayfish Pacifastacus leniusculus in streams with a LAMP assay using dependent replicates to gain higher sensitivity.

Authors:  David Porco; Sylvie Hermant; Chanistya Ayu Purnomo; Mario Horn; Guy Marson; Guy Colling
Journal:  Sci Rep       Date:  2022-04-21       Impact factor: 4.996

6.  Non-invasive genetic monitoring for the threatened valley elderberry longhorn beetle.

Authors:  Raman P Nagarajan; Alisha Goodbla; Emily Graves; Melinda Baerwald; Marcel Holyoak; Andrea Schreier
Journal:  PLoS One       Date:  2020-01-17       Impact factor: 3.240

  6 in total

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