[Sohiya Yotsukura] Computational Breeding Design of Least Allergen Crops

Research Director

Research Director's Photo

Sohiya Yotsukura

Japan Science and Technology Agency
PRESTO Researcher


Declining food resources coupled with prevalence of food allergies has increased due to global climate change. Still little is known about the complex interplay between allergy networks and its yield relationship. Meanwhile, allergen sequences are increasingly known. Our multidisciplinary approach assesses the allergy-inducing sequence, corresponding expression and contribution of its immunological properties of wheat. Computational detection will be realized from public data and cross-regional experimental field trials in Japan. The goal is to establish allergens in a yield-related breeding statistical model to understand physiological climatic factors resulting in increased allergen production and improved environmental competitiveness for this prominent food staple.

Quick Access


  • ACT-I
  • ACT-X
  • ALCA
  • AIP Network Lab
  • Global Activities
  • Diversity
  • SDGs
  • OSpolicy
  • Yuugu
  • Questions