Seed management using NGS technology to rapidly eliminate a deleterious allele from rice breeder seeds

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Abstract

Spontaneous mutations are stochastic phenomena that occur in every population. However, deleterious mutated allele present in seeds distributed to farmers must be detected and removed. Here, we eliminated un-desirable mutations from the parent population in one generation through a strategy based on next-generation sequencing (NGS). This study dealt with a spontaneous albino mutant in the ‘Hinohikari’ rice variety grown at the Miyazaki Comprehensive Agricultural Experiment Station, Japan. The incidence of albinism in the population was 1.36%. NGS analysis revealed the genomic basis for differences between green and albino phenotypes. Every albino plant had a C insertion in the Snow-White Leaf1 (SWL1) gene on chromosome 4 causing a frameshift mutation. Selfing plants heterozygous for the mutant allele, swl1-R332P, resulted in a 3:1 green/albino ratio, confirming that a single recessive gene controls albinism. Ultrastructural leaf features in the swl1-R332P mutants displayed deformed chlorophyll-associated organelles in albino plants that were similar to those of previously described swl1 mutants. Detection of the causative gene and its confirmation using heterozygous progenies were completed within a year. The NGS technique outlined here facilitates rapid identification of spontaneous mutations that can occur in breeder seeds.

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Balimponya, E. G., Dwiyanti, M. S., Ito, T., Sakaguchi, S., Yamamori, K., Kanaoka, Y., … Kishima, Y. (2022). Seed management using NGS technology to rapidly eliminate a deleterious allele from rice breeder seeds. Breeding Science, 72(5), 362–371. https://doi.org/10.1270/jsbbs.22058

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