Evidence map›Paper›PMID 38769168›Full record

ArticleCommunications biology2024

Genome-wide association analysis uncovers rice blast resistance alleles of Ptr and Pia.

Julian R Greenwood, Vanica Lacorte-Apostol, Thomas Kroj, Jonas Padilla, Mary Jeanie Telebanco-Yanoria, Anna N Glaus, Anne Roulin, André Padilla, Bo Zhou, Beat Keller and 1 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Julian R GreenwoodDepartment of Plant and Microbial Biology, University of Zürich, Zürich, Switzerland. Julian.Greenwood@anu.edu.au.ORCID 0000-0003-0497-0541
Vanica Lacorte-ApostolInternational Rice Research Institute, Los Baños, Philippines.
Thomas KrojPHIM Plant Health Institute, University of Montpellier, INRAE, CIRAD, Institut Agro, IRD, Montpellier, France.ORCID 0000-0002-3752-1788
Jonas PadillaInternational Rice Research Institute, Los Baños, Philippines.
Mary Jeanie Telebanco-YanoriaInternational Rice Research Institute, Los Baños, Philippines.
Anna N GlausDepartment of Plant and Microbial Biology, University of Zürich, Zürich, Switzerland.ORCID 0000-0002-4509-1837
Anne RoulinAgroscope, Müller-Thurgau-Strasse 29, 8820, Wädenswil, Switzerland.
André PadillaCentre de Biologie Structurale, CBS, University of Montpellier, CNRS UMR 5048, INSERM U, 1054, Montpellier, France.ORCID 0000-0001-9702-4612
Bo ZhouInternational Rice Research Institute, Los Baños, Philippines. irririce@gmail.com.ORCID 0000-0001-9631-954X
Beat KellerDepartment of Plant and Microbial Biology, University of Zürich, Zürich, Switzerland. bkeller@botinst.uzh.ch.ORCID 0000-0003-2379-9225
Simon G KrattingerPlant Science Program, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia. simon.krattinger@kaust.edu.sa.ORCID 0000-0001-6912-7411

Funding

Department of Education and Training | Australian Research Council (ARC) IC210100047Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) IZ07Z0_160877
6 · The paper itself

Abstract

A critical step to maximize the usefulness of genome-wide association studies (GWAS) in plant breeding is the identification and validation of candidate genes underlying genetic associations. This is of particular importance in disease resistance breeding where allelic variants of resistance genes often confer resistance to distinct populations, or races, of a pathogen. Here, we perform a genome-wide association analysis of rice blast resistance in 500 genetically diverse rice accessions. To facilitate candidate gene identification, we produce de-novo genome assemblies of ten rice accessions with various rice blast resistance associations. These genome assemblies facilitate the identification and functional validation of novel alleles of the rice blast resistance genes Ptr and Pia. We uncover an allelic series for the unusual Ptr rice blast resistance gene, and additional alleles of the Pia resistance genes RGA4 and RGA5. By linking these associations to three thousand rice genomes we provide a useful tool to inform future rice blast breeding efforts. Our work shows that GWAS in combination with whole-genome sequencing is a powerful tool for gene cloning and to facilitate selection of specific resistance alleles for plant breeding.

Indexed as

AllelesDisease ResistanceGenome-Wide Association StudyOryzaPlant DiseasesGenes, PlantGenome, PlantPlant BreedingPlant ProteinsPlant Proteins

Identifiers

PMID38769168
PMCPMC11106262

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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.