Author

Hiroki Yaegashi

Iwate Biotechnology Research Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genetics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 2 Organism:plant (other)· 2 Approach:statistical model· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Akira AbeiD· 3 shared Hiroki TakagiiD· 3 shared Ryohei TerauchiiD· 3 shared Hiroe UtsushiiD· 2 shared Kaori Oikawa· 2 shared Motoki ShimizuiD· 2 shared Satoshi NatsumeiD· 2 shared Aiko Uemura· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenetics

Akira AbeORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Genomic prediction models based on a large-scale recombinant population allow rapid breeding of desired genotypes

Toshiyuki Sakai, Hiroki Takagi, Tomoaki Fujioka, Yuuki Oota, Shinsuke Nakajo, Hiroki Yaegashi, Kaori Oikawa, Hiroe Utsushi, Kazue Ito, Satoshi Natsume, Motoki Shimizu, Takumi Takeda, Ryohei Terauchi, Akira Abe

The paper presents a genomic breeding strategy using large-scale recombinant populations and prediction models to rapidly develop rice cultivars with desired traits.

bioRxiv · Sep 14, 2025 · PreprintGenetics

High-performance pipeline for MutMap and QTL-seq

Yu Sugihara, Lester Young, Hiroki Yaegashi, Satoshi Natsume, Daniel John Shea, Hiroki Takagi, Helen Booker, Hideki Innan, Ryohei Terauchi, Akira Abe

The paper introduces updated pipelines for MutMap and QTL-seq that are faster, easier to use, and more accessible via bioconda.

PeerJ · Mar 18, 2022Peer-reviewedBioinformatics

Rice blast resistance gene Pii is controlled by a pair of NBS-LRR genes Pii-1 and Pii-2

Hiroki Takagi, Akira Abe, Aiko Uemura, Kaori Oikawa, Hiroe Utsushi, Hiroki Yaegashi, Hideko Kikuchi, Motoki Shimizu, Yoshiko Abe, Hiroyuki Kanzaki, Hiromasa Saito, Ryohei Terauchi, Koki Fujisaki

The paper identifies two NBS-LRR genes, Pii-1 and Pii-2, that together confer resistance to rice blast disease in rice.

bioRxiv · Nov 30, 2017 · PreprintGenetics