Adapting genotyping-by-sequencing for rice F2 populations

Tomoyuki Furuta, Motoyuki Ashikari, Kshirod K. Jena, Kazuyuki Doi, Stefan Reuscher

Research output: Contribution to journalArticlepeer-review

50 Citations (Scopus)


Rapid and cost-effective genotyping of large mapping populations can be achieved by sequencing a reduced representation of the genome of every individual in a given population, and using that information to generate genetic markers. A customized genotyping-by-sequencing (GBS) pipeline was developed to genotype a rice F2 population from a cross of Oryza sativa ssp. japonica cv. Nipponbare and the African wild rice species O. longistaminata. While most GBS pipelines aim to analyze mainly homozygous populations, we attempted to genotype a highly heterozygous F2 population. We show how species- and population-specific improvements of established protocols can drastically increase sample throughput and genotype quality. Using as few as 50,000 reads for some individuals (134,000 reads on average), we were able to generate up to 8154 informative SNP markers in 1081 F2 individuals. Additionally, the effects of enzyme choice, read coverage, and data postprocessing are evaluated. Using GBS-derived markers, we were able to assemble a genetic map of 1536 cM. To demonstrate the usefulness of our GBS pipeline, we determined quantitative trait loci (QTL) for the number of tillers. We were able to map four QTL to chromosomes 1, 3, 4, and 8, and partially confirm their effects using introgression lines. We provide an example of how to successfully use GBS with heterozygous F2 populations. By using the comparatively low-cost MiSeq platform, we show that the GBS method is flexible and cost-effective, even for smaller laboratories.

Original languageEnglish
Pages (from-to)881-893
Number of pages13
JournalG3: Genes, Genomes, Genetics
Issue number3
Publication statusPublished - 2017
Externally publishedYes


  • Genotyping-bysequencing
  • Rice breeding
  • SNP marker
  • Trait mapping

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Genetics(clinical)


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