Evidence map›Paper›PMID 42313190›Full record

ArticleArchives of microbiology2026

Development of a recombinase polymerase amplification-lateral flow assay for rapid visual detection of Meloidogyne hapla.

Gna Ahn, Eung Je Lee, Do-Young Kim, Dae-Young Park, Christine Ardelle Marquez, Dong-Seok Jeong, Joong-Hwan Lee, Yang-Hoon Kim, Ji-Young Ahn

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Article in Archives of microbiology, 2026. 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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0citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

9 authors.

Gna Ahn *Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
Eung Je Lee *Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
Do-Young Kim *Department of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
Dae-Young ParkDepartment of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
Christine Ardelle MarquezDepartment of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea.
Dong-Seok JeongSEJONGBIO, Heungdeok-gu, Cheongju, Chungcheongbuk, Republic of Korea.
Joong-Hwan LeeInstitute for Bioresources Research, Gyeongsangbuk-do Agricultural Research and Extension, Andong, 36614, Republic of Korea.
Yang-Hoon KimDepartment of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea. kyh@chungbuk.ac.kr.
Ji-Young AhnDepartment of Microbiology, Chungbuk National University, 1 Chungdae-Ro, Seowon-Gu, Cheongju, 28644, Republic of Korea. jyahn@chungbuk.ac.kr.

Funding

National Research Foundation of Korea 2020R1A6A1A06046235
6 · The paper itself

Abstract

Root-knot nematodes (genus Meloidogyne) are among the most destructive agricultural pests globally, causing severe economic damage. Among these, Meloidogyne hapla is particularly problematic for many crops, including yams. Therefore, the rapid and accurate detection of M. hapla is essential for effective crop loss management and prevention. To establish a rapid, specific, and easy-to-use method for potential field-adaptable under semi-controlled conditions, we combined DNA extraction, recombinase polymerase amplification (RPA), and dipstick lateral flow (LF) assay. M. hapla DNA was extracted from a single nematode egg collected from infected yam tissue within 25 min using a lab-made DNA extraction buffer. To establish an efficient RPA process, the amplification temperature (45 °C), reaction time (20 min), and primer length (24 bp) were optimized, enabling rapid and selective amplification of M. hapla. The RPA-LF assay, using biotin- and fluorescein-labeled primers, enabled visual detection within 10 min and achieved a detection limit of 52.06 pM for RPA product under controlled conditions with high specificity. The developed RPA-LF assay provides a rapid, specific, and user-friendly approach for detecting M. hapla in agricultural samples. Its simplicity and speed make it highly suitable for field applications and future development as a portable diagnostic kit for effective management of M. hapla infestations.

Indexed as

Nucleic Acid Amplification TechniquesPlant DiseasesTylenchoideaAnimalsDNA, HelminthDNA PrimersRapid Diagnostic TestsRecombinasesSensitivity and SpecificityDNA, HelminthDNA PrimersRecombinasesDipstick lateral flow (LF)Meloidogyne hapla (M. hapla)Recombinase polymerase amplification (RPA)

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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.