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2 results on '"Hiroe Utsushi"'

1. MutMap+: genetic mapping and mutant identification without crossing in rice.

Author

Rym Fekih, Hiroki Takagi, Muluneh Tamiru, Akira Abe, Satoshi Natsume, Hiroki Yaegashi, Shailendra Sharma, Shiveta Sharma, Hiroyuki Kanzaki, Hideo Matsumura, Hiromasa Saitoh, Chikako Mitsuoka, Hiroe Utsushi, Aiko Uemura, Eiko Kanzaki, Shunichi Kosugi, Kentaro Yoshida, Liliana Cano, Sophien Kamoun, and Ryohei Terauchi

Subjects
Medicine, Science
Abstract

Advances in genome sequencing technologies have enabled researchers and breeders to rapidly associate phenotypic variation to genome sequence differences. We recently took advantage of next-generation sequencing technology to develop MutMap, a method that allows rapid identification of causal nucleotide changes of rice mutants by whole genome resequencing of pooled DNA of mutant F2 progeny derived from crosses made between candidate mutants and the parental line. Here we describe MutMap+, a versatile extension of MutMap, that identifies causal mutations by comparing SNP frequencies of bulked DNA of mutant and wild-type progeny of M3 generation derived from selfing of an M2 heterozygous individual. Notably, MutMap+ does not necessitate artificial crossing between mutants and the wild-type parental line. This method is therefore suitable for identifying mutations that cause early development lethality, sterility, or generally hamper crossing. Furthermore, MutMap+ is potentially useful for gene isolation in crops that are recalcitrant to artificial crosses.

Published
2013
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2. MutMap+: genetic mapping and mutant identification without crossing in rice

Author

Kentaro Yoshida, Liliana M. Cano, Hiroe Utsushi, Shiveta Sharma, Shailendra Sharma, Akira Abe, Rym Fekih, Sophien Kamoun, Hiroyuki Kanzaki, Hideo Matsumura, Eiko Kanzaki, Muluneh Tamiru, Ryohei Terauchi, Hiroki Yaegashi, Shunichi Kosugi, Satoshi Natsume, Aiko Uemura, Hiromasa Saitoh, Chikako Mitsuoka, and Hiroki Takagi

Subjects
Marker-Assisted Selection, Science, Agricultural Biotechnology, Mutant, DNA Mutational Analysis, Molecular Sequence Data, Genomics, Single-nucleotide polymorphism, Plant Science, Biology, Breeding, medicine.disease_cause, Plant Genetics, Polymorphism, Single Nucleotide, DNA sequencing, Gene mapping, Genetic Mutation, Genome Analysis Tools, medicine, Genetics, Plant Genomics, Amino Acid Sequence, Genome Sequencing, Gene, Crosses, Genetic, Whole genome sequencing, Plant Growth and Development, Mutation, Multidisciplinary, Chromosome Mapping, High-Throughput Nucleotide Sequencing, Oryza, Agriculture, Plants, Genetically Modified, Phenotype, Medicine, Plant Biotechnology, Research Article, Biotechnology
Abstract

Advances in genome sequencing technologies have enabled researchers and breeders to rapidly associate phenotypic variation to genome sequence differences. We recently took advantage of next-generation sequencing technology to develop MutMap, a method that allows rapid identification of causal nucleotide changes of rice mutants by whole genome resequencing of pooled DNA of mutant F2 progeny derived from crosses made between candidate mutants and the parental line. Here we describe MutMap+, a versatile extension of MutMap, that identifies causal mutations by comparing SNP frequencies of bulked DNA of mutant and wild-type progeny of M3 generation derived from selfing of an M2 heterozygous individual. Notably, MutMap+ does not necessitate artificial crossing between mutants and the wild-type parental line. This method is therefore suitable for identifying mutations that cause early development lethality, sterility, or generally hamper crossing. Furthermore, MutMap+ is potentially useful for gene isolation in crops that are recalcitrant to artificial crosses.

Published
2013

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