Evidence map›Paper›PMID 34545105›Full record

ArticleScientific reports2021

Development and validation of diagnostic SNP markers for quality control genotyping in a collection of four rice (Oryza) species.

Arnaud Comlan Gouda, Marilyn L Warburton, Gustave L Djedatin, Sèdjro Bienvenu Kpeki, Peterson W Wambugu, Karlin Gnikoua, Marie Noelle Ndjiondjop

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2021. 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

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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.

  1. Article
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  8. Fine mapping and candidate gene analysis ofFrontiers in plant science · 2024
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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

7 authors.

Arnaud Comlan GoudaAfrica Rice Center (AfricaRice), M'bé Research Station, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire.
Marilyn L WarburtonUnited States Department of Agriculture-Agricultural Research Service, Corn Host Plant Resistance Research Unit, Mississippi State, USA.
Gustave L DjedatinUniversité Nationale des Sciences, Technologies, Ingénierie et Mathématiques (UNSTIM), Abomey, Benin.
Sèdjro Bienvenu KpekiAfrica Rice Center (AfricaRice), M'bé Research Station, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire.
Peterson W WambuguKenya Agricultural and Livestock Research Organization (KALRO), Genetic Resources Research Institute, Nairobi, Kenya.
Karlin GnikouaAfrica Rice Center (AfricaRice), M'bé Research Station, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire.
Marie Noelle NdjiondjopAfrica Rice Center (AfricaRice), M'bé Research Station, 01 B.P. 2551, Bouaké 01, Côte d'Ivoire. m.ndjiondjop@cgiar.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological identification of closely related rice species, particularly those in the Oryza AA genome group, presents major challenges and often results in cases of misidentification. Recent work by this group identified diagnostic single nucleotide polymorphic (SNP) markers specific for several rice species and subspecies based on DArTseq next-generation sequencing technology ("DArTseq"). These SNPs can be used for quality control (QC) analysis in rice breeding and germplasm maintenance programs. Here, we present the DArTseq-based diagnostic SNPs converted into Kompetitive allele-specific PCR (KASPar or KASP) assays and validation data for a subset of them; these can be used for low-cost routine genotyping quality control (QC) analysis. Of the 224 species/subspecies' diagnostic SNPs tested, 158 of them produced working KASP assays, a conversion success rate of 70%. Two validation experiments were run with 87 of the 158 SNP markers to ensure that the assays amplified, were polymorphic, and distinguished the five species/subspecies tested. Based on these validation test results, we recommend a panel of 36 SNP markers that clearly delineate O. barthii, O. glaberrima, O. longistaminata, O. sativa spp. indica and japonica. The KASP assays provide a flexible, rapid turnaround and cost-effective tool to facilitate germplasm curation and management of these four Oryza AA genome species across multiple genebanks.

Indexed as

Genome, PlantGenotypePolymorphism, Single NucleotideQuality ControlAllelesGenetic MarkersOryzaPlant BreedingGenetic Markers

Identifiers

PMID34545105
PMCPMC8452751

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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.