Evidence map›Paper›PMID 32339192›Full record

ArticlePloS one2020

Design of a new multiplex PCR assay for rice pathogenic bacteria detection and its application to infer disease incidence and detect co-infection in rice fields in Burkina Faso.

Martine Bangratz, Issa Wonni, Kossi Kini, Moussa Sondo, Christophe Brugidou, Gilles Béna, Fatoumata Gnacko, Mariam Barro, Ralf Koebnik, Drissa Silué and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 24 citations in OpenAlex.

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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

11 authors at 3 institutions in 3 countries.

Martine BangratzIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Issa WonniINERA, Laboratoire de Phytopathologie, LMI PathoBios, Bobo-Dioulasso, Burkina Faso.
Kossi KiniIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.ORCID 0000-0001-9917-477X
Moussa SondoIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Christophe BrugidouIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Gilles BénaIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Fatoumata GnackoIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Mariam BarroIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Ralf KoebnikIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.
Drissa SiluéAfricaRice, Plant Pathology, Bouaké, Ivory Coast.ORCID 0000-0003-1922-7179
Charlotte TollenaereIRD, Cirad, Univ Montpellier, IPME, Montpellier, France.ORCID 0000-0003-2045-2824
Centre de Coopération Internationale en Recherche Agronomique pour le Développement · FRAfrica Rice Center · CIInstitut de l'Environnement et Recherches Agricoles · BF

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crop diseases are responsible for considerable yield losses worldwide and particularly in sub-Saharan Africa. To implement efficient disease control measures, detection of the pathogens and understanding pathogen spatio-temporal dynamics is crucial and requires the use of molecular detection tools, especially to distinguish different pathogens causing more or less similar symptoms. We report here the design a new molecular diagnostic tool able to simultaneously detect five bacterial taxa causing important diseases on rice in Africa: (1) Pseudomonas fuscovaginae, (2) Xanthomonas oryzae, (3) Burkholderia glumae and Burkholderia gladioli, (4) Sphingomonas and (5) Pantoea species. This new detection tool consists of a multiplex PCR, which is cost effective and easily applicable. Validation of the method is presented through its application on a global collection of bacterial strains. Moreover, sensitivity assessment for the detection of all five bacteria is reported to be at 0.5 ng DNA by μl. As a proof of concept, we applied the new molecular detection method to a set of 256 rice leaves collected from 16 fields in two irrigated areas in western Burkina Faso. Our results show high levels of Sphingomonas spp. (up to 100% of tested samples in one field), with significant variation in the incidence between the two sampled sites. Xanthomonas oryzae incidence levels were mostly congruent with bacterial leaf streak (BLS) and bacterial leaf blight (BLB) symptom observations in the field. Low levels of Pantoea spp. were found while none of the 256 analysed samples was positive for Burkholderia or Pseudomonas fuscovaginae. Finally, many samples (up to 37.5% in one studied field) were positive for more than one bacterium (co-infection). Documenting co-infection levels are important because of their drastic consequences on epidemiology, evolution of pathogen populations and yield losses. The newly designed multiplex PCR for multiple bacterial pathogens of rice is a significant improvement for disease monitoring in the field, thus contributing to efficient disease control and food safety.

Indexed as

BurkholderiaBurkina FasoCoinfectionDNA, BacterialIncidenceMultiplex Polymerase Chain ReactionOryzaPlant DiseasesPseudomonasXanthomonasDNA, Bacterial

Identifiers

PMID32339192
PMCPMC7185701
OpenAlexW3020427030

What OpenQuestion 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 OpenQuestion graph.