Satoshi Natsume

TL;DR: Results show that MutMap can accelerate the genetic improvement of rice and other crop plants and identify the unique genomic positions most probable to harbor mutations causing pale green leaves and semidwarfism, an agronomically relevant trait.

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.

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.

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.

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.