Evidence map›Paper›PMID 42461817›Full record

ArticlePloS one2026

Robust design of LAMP assays for in-field detection of major bacterial vascular diseases of banana.

Isabelle Robène, Mikel Arrieta-Salgado, Samuel Rozsasi, Diane Mostert, Véronique Maillot-Lebon, Yolande Chilin-Charles, Jos Jansen van Vuuren, Gloria Valentine Nakato, Reagan Kanaabi, Freddy Magdama and 12 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Isabelle RobèneCIRAD, UMR PVBMT, Saint-Pierre, Réunion Island, France.ORCID https://orcid.org/0000-0003-2012-4652
Mikel Arrieta-SalgadoCIRAD, UMR PHIM, Montpellier, France.
Samuel RozsasiCIRAD, UMR PVBMT, Saint-Pierre, Réunion Island, France.
Diane MostertDepartment of Plant Pathology, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0002-3382-8555
Véronique Maillot-LebonCIRAD, UMR PVBMT, Saint-Pierre, Réunion Island, France.
Yolande Chilin-CharlesPHIM, Plant Health Institute of Montpellier, Univ Montpellier, INRAe, CIRAD, Institut Agro, Montpellier, France.
Jos Jansen van VuurenDepartment of Plant Pathology, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0009-0004-3169-2764
Gloria Valentine NakatoInternational Institute of Tropical Agriculture (IITA), Kampala, Uganda.ORCID https://orcid.org/0000-0001-6139-1330
Reagan KanaabiInternational Institute of Tropical Agriculture (IITA), Kampala, Uganda.
Freddy MagdamaCentro de Investigaciones Biotecnológicas del Ecuador, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Guayaquil, Ecuador.
Estefany Paredes SalgadoCentro de Investigaciones Biotecnológicas del Ecuador, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Guayaquil, Ecuador.ORCID https://orcid.org/0000-0002-1142-4445
Catur HermantoNational Research and Innovation Agency (BRIN), Bogor, West Java, Indonesia.
Agus SutantoNational Research and Innovation Agency (BRIN), Bogor, West Java, Indonesia.ORCID https://orcid.org/0000-0003-3003-0350
Janet ConieThe Banana Board, Kingston, Jamaica.
Debbie HenryThe Banana Board, Kingston, Jamaica.
Sheryl Le RouxDepartment of Plant Pathology, Stellenbosch University, Stellenbosch, South Africa.
Altus ViljoenDepartment of Plant Pathology, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0001-7146-0491
Emmanuel JouenCIRAD, UMR PVBMT, Moka, Mauritius.ORCID https://orcid.org/0009-0005-5578-023X
Mirana GaucheUniversity of Reunion Island, UMR PVBMT, Saint-Pierre, Reunion Island, France.ORCID https://orcid.org/0009-0000-0529-5360
Stéphane PoussierUniversity of Reunion Island, UMR PVBMT, Saint-Pierre, Reunion Island, France.
Emmanuel WickerDepartment of Plant Pathology, Stellenbosch University, Stellenbosch, South Africa.ORCID https://orcid.org/0000-0003-0927-7404
Yann PecrixCIRAD, UMR PVBMT, Saint-Pierre, Réunion Island, France.ORCID https://orcid.org/0000-0002-6537-3145

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial diseases of banana are a growing global threat, causing yield losses and increased management costs. Major diseases include Moko, banana blood disease (BBD), and banana Xanthomonas wilt (BXW), caused by Ralstonia solanacearum, Ralstonia syzygii subsp. celebesensis, and Xanthomonas vasicola pv. musacearum, respectively. Effective surveillance requires point-of-care diagnostics such as loop-mediated isothermal amplification (LAMP) for on-site use. We aimed to develop three LAMP assays to specifically detect the bacteria responsible for Moko, BBD and BXW, directly from banana tissues, using a simplified DNA extraction protocol. The BBD - and BXW-LAMP assays demonstrated 100% specificity, yielding negative results for a broad range of non-target bacteria, including closely related species as well as pathogenic and endophytic strains associated with banana, and positive results for all the tested target strains. For Moko disease, a duplex-LAMP assay was developed to detect all strains from the four globally most relevant sequevars: IIB-3, IIB-4, IIA-6, and IIA-24. The duplex-LAMP successfully detected all target strains, except one that was shown to be non-pathogenic to Cavendish bananas. All non-target strains tested negative, with the exception of a delayed signal for one strain belonging to Ralstonia thomasi, not associated with banana environment (hospital strain). These results were supported by an extensive in silico analysis conducted on 9,668 Burkholderiaceae and 7,483 Xanthomonadaceae genomes. Detection limits ranged from 0.1 pg/µl to 1 pg/µl DNA, and from 104 to 105 CFU/ml on banana tissues spiked with calibrated bacterial suspensions, depending on the assay. The LAMP assays prove highly effective for detecting target pathogens in both artificially inoculated banana plants and field samples, offering a promising tool for improving disease management strategies.

Indexed as

Molecular Diagnostic TechniquesMusaNucleic Acid Amplification TechniquesPlant DiseasesXanthomonasDNA, BacterialRalstonia solanacearumRapid Diagnostic TestsSensitivity and SpecificityDNA, Bacterial

Identifiers

PMID42461817
PMCPMC13375027

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.