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

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 undesirable mutations from the parent population in one generation through a strategy based on...

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Veröffentlicht in:Breeding Science 2022, Vol.72(5), pp.362-371
Hauptverfasser: Balimponya, Elias G., Dwiyanti, Maria S., Ito, Toshiaki, Sakaguchi, Shuntaro, Yamamori, Koichi, Kanaoka, Yoshitaka, Koide, Yohei, Nagayoshi, Yoshifumi, Kishima, Yuji
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Sprache:eng
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Zusammenfassung: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 undesirable 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.
ISSN:1344-7610
1347-3735
DOI:10.1270/jsbbs.22058