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.

Details

Title
Development and validation of diagnostic SNP markers for quality control genotyping in a collection of four rice (Oryza) species
Author
Gouda, Arnaud Comlan 1 ; Warburton, Marilyn L 2 ; Djedatin, Gustave L 3 ; Bienvenu, Kpeki Sèdjro 4 ; Wambugu, Peterson W 5 ; Karlin, Gnikoua 6 ; Ndjiondjop Marie Noelle 6 

 Africa Rice Center (AfricaRice), Bouaké 01, Côte d’Ivoire 
 Corn Host Plant Resistance Research Unit, United States Department of Agriculture-Agricultural Research Service, Mississippi State, USA (GRID:grid.508985.9) 
 Université Nationale des Sciences, Technologies, Ingénierie et Mathématiques (UNSTIM), Abomey, Benin (GRID:grid.510426.4) (ISNI:0000 0004 7470 473X) 
 Africa Rice Center (AfricaRice), Bouaké 01, Côte d’Ivoire (GRID:grid.510426.4) 
 Kenya Agricultural and Livestock Research Organization (KALRO), Genetic Resources Research Institute, Nairobi, Kenya (GRID:grid.473294.f) 
 Africa Rice Center (AfricaRice), Bouaké 01, Côte d’Ivoire (GRID:grid.473294.f) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2574551020
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.