Evidence map›Paper›PMID 40859294›Full record

ArticleBMC veterinary research2025

Construction of a portable multiplex detection system for four bee viral paralysis diseases based on RT-PCR-microfluidic chip integrated technology.

Ziyan Wang, Boyang Xia, Tiantian Fei, Yuming Liu, Zhifeng Gao, Xiuwei Shu, Mingxiao Ma, Dongliang Fei

Abstract read
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Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ziyan WangKey Laboratory of Livestock Products Quality and Safety Engineering, Jinzhou Medical University, Jinzhou, 121001, China.
Boyang Xia *College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121001, China.
Tiantian FeiHenan University of Chinese Medicine, Zhengzhou, 450046, China.
Yuming LiuCollege of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121001, China.
Zhifeng GaoLiaoning center for animal disease control and prevention, Shenyang, 110015, China.
Xiuwei ShuLiaoning Yikang Biological CoLtd, Liaoyang, 111000, China.
Mingxiao Ma *College of Animal Husbandry and Veterinary Medicine, Jinzhou Medical University, Jinzhou, 121001, China. lnjzmmx@163.com.
Dongliang FeiCollaborative Innovation Center for Zoonosis Prevention and Treatment of Jinzhou Medical University, Jinzhou Medical University, Jinzhou, 121001, China. 282943866@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs crucial pollinators sustaining agricultural ecosystem services and biodiversity, bees mediate pollination for approximately 35% of global insect-pollinated crops and generate multidimensional ecological value through apicultural products in the pharmaceutical and food industries. However, emerging viral pathogens pose escalating threats to bee health.

resultsTo address the technical bottlenecks in pathogen detection for viral paralysis disease in bees, this study innovatively integrated multiplex RT-PCR amplification, lateral flow dipstick (LFD), and centrifugal microfluidic chip technology (MFCT) to develop an on-site quadruple detection platform capable of simultaneously identifying four viruses: Chronic Bee Paralysis Virus (CBPV), Black Queen Cell Virus (BQCV), Deformed Wing Virus (DWV), and Israeli Acute Paralysis Virus (IAPV). Through multiple sequence alignment, conserved genomic regions of the four viruses were identified, and systematic screening was performed to optimize primer combinations, with critical parameters such as primer concentration (10 µM) and annealing temperature (55 °C) determined. Building on this, a RT-PCR-LFD-MFCT integrated detection system was established by incorporating chemically modified downstream primers/probes and MFCT. Experimental results demonstrated a sensitivity of 10² copies/µL for single-virus detection, enabling precise identification of low viral loads. The method exhibited exceptional specificity with no cross-reactivity, and clinical sample validation achieved 100% concordance with conventional RT-qRT-PCR.

conclusionsThis system features simultaneous multi-target detection, high specificity, rapid processing, minimal instrumentation requirements, portability, and field applicability. It provides a robust tool for precise diagnosis and control of bee paralysis diseases, particularly suitable for resource-limited apiaries and outbreak scenarios, demonstrating significant practical value for safeguarding apicultural health.

Indexed as

Insect VirusesMultiplex Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionAnimalsBeesDicistroviridaeLab-On-A-Chip DevicesRNA VirusesSensitivity and SpecificityBee paralysis diseaseLateral flow dipstickMicrofluidic technologyPolymerase chain reactionRadid detection

Identifiers

PMID40859294
PMCPMC12379352

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.