Rice (Oryza sativa L.) is the staple crop for over half of the world's population and selection in different environmental and climatic conditions has led to the development of numerous local rice cultivars. In a changing environment, these local cultivars may need to be adapted to emerging stresses. Whole-genome sequences are available only for a small fraction of existing rice cultivars, limiting the opportunity for genomics-based marker-assisted selection (MAS) in most local cultivars. To efficiently develop locally-adapted rice cultivars resilient to adverse environmental conditions, our objective was to develop a pipeline for the analysis of re-sequencing data and the development of low-cost allele-specific markers that can be implemented in developing countries. This study focused on three rice cultivars (X265, F160, and Nerica4) commonly grown in Madagascar. We provide whole-genome sequencing data and identify sequence variations compared to publicly available sequences, followed by the development of simple PCR-based InDel and SNP markers. Their effectiveness in distinguishing different alleles at the Ghd7 locus controlling heading date was demonstrated, enabling us to employ these markers for MAS in a breeding population developed between X265 and a donor “Liu He Xi He”. In addition, we developed PCR-based SNP markers for the same population on qLFT-5, a quantitative trait locus for low-fertility tolerance in which the donor allele increases total panicle weight under low-input conditions. This study presents a practical pipeline for the utilization of next generation sequencing-derived large-scale data to accelerate low-cost marker development for MAS in rice and other crop species.
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