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Aiko Uemura

Researcher at Anglo Irish Bank

Publications -  25
Citations -  2644

Aiko Uemura is an academic researcher from Anglo Irish Bank. The author has contributed to research in topics: Gene & Mutant. The author has an hindex of 15, co-authored 24 publications receiving 1800 citations.

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QTL-seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations.

TL;DR: Simulation study showed that QTL-seq is able to detect QTLs over wide ranges of experimental variables, and the method can be generally applied in population genomics studies to rapidly identify genomic regions that underwent artificial or natural selective sweeps.
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MutMap accelerates breeding of a salt-tolerant rice cultivar

TL;DR: The hst1 mutant was used to breed a salt-tolerant variety named ‘Kaijin’, which differs from Hitomebore by only 201 singlenucleotide polymorphisms (SNPs) and production of this salt-Tolerant mutant line ready for delivery to farmers took only two years using the approach.
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MutMap+: Genetic Mapping and Mutant Identification without Crossing in Rice

TL;DR: 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, that is potentially useful for gene isolation in crops that are recalcitrant to artificial crosses.
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Structural basis of pathogen recognition by an integrated HMA domain in a plant NLR immune receptor.

TL;DR: The structural basis for direct recognition of AVR-Pik, an effector from the rice blast pathogen, by the rice intracellular NLR immune receptor Pik is described.
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MutMap-Gap: whole-genome resequencing of mutant F2 progeny bulk combined with de novo assembly of gap regions identifies the rice blast resistance gene Pii

TL;DR: The MutMap-Gap method, which involves delineating a candidate region harboring a mutation of interest using the recently reported MutMap method, followed by de novo assembly, alignment, and identification of the mutation within genome gaps, should prove useful for cloning genes that exhibit significant structural variations.