Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza L.) species

Marie Noelle Ndjiondjop, Kassa Semagn, Jianwei - Zhang, Arnaud Comlan Gouda, Sèdjro Bienvenu Kpeki, Alphonse Goungoulou, Peterson Wambugu, Khady Nani Dramé, Isaac Kofi Bimpong, Dule Zhao

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Species misclassification (misidentification) and handling errors have been frequently reported in various plant species conserved at diverse gene banks, which could restrict use of germplasm for correct purpose. The objectives of the present study were to (i) determine the extent of genotyping error (reproducibility) on DArTseq-based single-nucleotide polymorphisms (SNPs); (ii) determine the proportion of misclassified accessions across 3134 samples representing three African rice species complex (Oryza glaberrima, O. barthii, and O. longistaminata) and an Asian rice (O. sativa), which are conserved at the AfricaRice gene bank; and (iii) develop species- and sub-species (ecotype)-specific diagnostic SNP markers for rapid and low-cost quality control (QC) analysis. Genotyping error estimated from 15 accessions, each replicated from 2 to 16 times, varied from 0.2 to 3.1%, with an overall average of 0.8%. Using a total of 3134 accessions genotyped with 31,739 SNPs, the proportion of misclassified samples was 3.1% (97 of the 3134 accessions). Excluding the 97 misclassified accessions, we identified a total of 332 diagnostic SNPs that clearly discriminated the three indigenous African species complex from Asian rice (156 SNPs), O. longistaminata accessions from both O. barthii and O. glaberrima (131 SNPs), and O. sativa spp. indica from O. sativa spp. japonica (45 SNPs). Using chromosomal position, minor allele frequency, and polymorphic information content as selection criteria, we recommended a subset of 24 to 36 of the 332 diagnostic SNPs for routine QC genotyping, which would be highly useful in determining the genetic identity of each species and correct human errors during routine gene bank operations.

Original languageEnglish (US)
Article number131
JournalMolecular Breeding
Volume38
Issue number11
DOIs
StatePublished - Nov 1 2018

Fingerprint

Oryza
Quality Control
genotyping
single nucleotide polymorphism
Single Nucleotide Polymorphism
quality control
rice
Oryza glaberrima
gene banks
Oryza barthii
Oryza longistaminata
Genes
Ecotype
Cost Control
Pedigree
selection criteria
ecotypes
Gene Frequency
reproducibility
Patient Selection

Keywords

  • African rice
  • Asian rice
  • Cultivated rice
  • DArTseq
  • Genotyping by sequencing
  • Wild rice

ASJC Scopus subject areas

  • Biotechnology
  • Molecular Biology
  • Agronomy and Crop Science
  • Genetics
  • Plant Science

Cite this

Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza L.) species. / Ndjiondjop, Marie Noelle; Semagn, Kassa; Zhang, Jianwei -; Gouda, Arnaud Comlan; Kpeki, Sèdjro Bienvenu; Goungoulou, Alphonse; Wambugu, Peterson; Dramé, Khady Nani; Bimpong, Isaac Kofi; Zhao, Dule.

In: Molecular Breeding, Vol. 38, No. 11, 131, 01.11.2018.

Research output: Contribution to journalArticle

Ndjiondjop, MN, Semagn, K, Zhang, J, Gouda, AC, Kpeki, SB, Goungoulou, A, Wambugu, P, Dramé, KN, Bimpong, IK & Zhao, D 2018, 'Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza L.) species', Molecular Breeding, vol. 38, no. 11, 131. https://doi.org/10.1007/s11032-018-0885-z
Ndjiondjop, Marie Noelle ; Semagn, Kassa ; Zhang, Jianwei - ; Gouda, Arnaud Comlan ; Kpeki, Sèdjro Bienvenu ; Goungoulou, Alphonse ; Wambugu, Peterson ; Dramé, Khady Nani ; Bimpong, Isaac Kofi ; Zhao, Dule. / Development of species diagnostic SNP markers for quality control genotyping in four rice (Oryza L.) species. In: Molecular Breeding. 2018 ; Vol. 38, No. 11.
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AU - Kpeki, Sèdjro Bienvenu

AU - Goungoulou, Alphonse

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