Development of PCR, LAMP and HRM-Based Molecular Species Diagnostic Tools for Identifying Four Agricultural Pests in the Genus Helicoverpa (Lepidoptera: Noctuidae)

IF 1.8 3区 农林科学 Q2 ENTOMOLOGY
Journal of Applied Entomology Pub Date : 2026-07-02 Epub Date: 2026-03-17 DOI:10.1111/jen.70092
Minseop Noh, Murtaza Khan, Minyoung Choi, Andreas Zwick, Juil Kim
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Abstract

Within the subfamily Heliothinae, the genus Helicoverpa comprises several highly destructive agricultural pests, including H. armigera, H. assulta, H. punctigera and H. zea. These species cause significant global crop losses due to their wide host range, long-distance migratory behaviour, and potential for interspecific hybridization. Their close morphological resemblance poses major challenges for accurate identification. Therefore, the development of rapid and reliable molecular diagnostic tools is crucial for effective monitoring and management. For primer design, complete mitochondrial genome sequences of the four Helicoverpa species were aligned to identify species-specific regions, primarily within the COX1–COX2 fragment. Species-specific PCR assays were optimised and successfully distinguished all four species. The same primer regions were adapted for LAMP by designing the outer primers (F3 and B3) and adding inner (FIP, BIP) and loop (LF, LB) primers. LAMP assays were highly effective for H. armigera and H. assulta, allowing field-ready detection within 20 and 25 min, respectively, at 62°C. While PCR and HRM distinguished all four species, LAMP assays were successfully optimised only for H. armigera and H. assulta. Additionally, an HRM assay was developed and validated, enabling efficient large-scale discrimination of Helicoverpa species based on distinct melting profiles. This study presents robust PCR, LAMP and HRM-based molecular diagnostic tools for the rapid and accurate identification of four major Helicoverpa pest species: H. armigera, H. assulta, H. punctigera and H. zea. These assays provide reliable, cost-effective and scalable solutions for species-specific detection and can be readily integrated into regional and international Helicoverpa pest monitoring and management programmes.

Abstract Image

基于PCR、LAMP和hrm的四种农业害虫分子诊断工具的建立(鳞翅目:夜蛾科)
在棉铃虫亚科中,棉铃虫属包括几种极具破坏性的农业害虫,包括棉铃虫、刺毛棉铃虫、刺毛棉铃虫和玉米棉铃虫。由于寄主范围广、迁徙距离远以及种间杂交的潜力,这些物种造成了重大的全球作物损失。它们在形态上的相似性给准确识别带来了重大挑战。因此,开发快速可靠的分子诊断工具对于有效的监测和管理至关重要。在引物设计中,对四种螺旋藻的全线粒体基因组序列进行比对,以确定物种特异性区域,主要是在COX1-COX2片段内。优化了种特异性PCR方法,并成功区分了所有四种。通过设计外引物(F3和B3)和添加内引物(FIP、BIP)和环引物(LF、LB)来适应相同的引物区域。LAMP检测方法对棉铃虫和阿苏塔棉铃虫非常有效,在62°C下分别在20分钟和25分钟内进行现场检测。虽然PCR和HRM区分了所有四种,但LAMP检测仅成功地优化了棉铃虫和刺蚜。此外,开发并验证了一种HRM分析方法,可以基于不同的融化剖面有效地大规模区分Helicoverpa物种。本研究建立了基于PCR、LAMP和hrm的高效分子诊断工具,用于快速准确地鉴定棉铃虫、刺毛虫、刺毛虫和玉米虫4种主要棉铃虫害虫。这些分析方法为特定物种的检测提供了可靠、具有成本效益和可扩展的解决方案,并且可以很容易地纳入区域和国际棉铃虫虫害监测和管理计划。
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来源期刊
CiteScore
3.40
自引率
5.30%
发文量
132
审稿时长
6 months
期刊介绍: The Journal of Applied Entomology publishes original articles on current research in applied entomology, including mites and spiders in terrestrial ecosystems. Submit your next manuscript for rapid publication: the average time is currently 6 months from submission to publication. With Journal of Applied Entomology''s dynamic article-by-article publication process, Early View, fully peer-reviewed and type-set articles are published online as soon as they complete, without waiting for full issue compilation.
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