Genotyping of Haliotis discus hannai and machine learning models to predict the heat resistant phenotype based on genotype

Eun Soo Noh; Sathiyamoorty Subramaniyam; Sunghyun Cho; Young-Ok Kim; Choul-Ji Park; Jeong-Ho Lee; Bo-Hye Nam; Younhee Shin

doi:10.3389/fgene.2023.1151427

Genotyping of Haliotis discus hannai and machine learning models to predict the heat resistant phenotype based on genotype

Front Genet. 2023 Mar 31:14:1151427. doi: 10.3389/fgene.2023.1151427. eCollection 2023.

Authors

Eun Soo Noh¹, Sathiyamoorty Subramaniyam², Sunghyun Cho², Young-Ok Kim¹, Choul-Ji Park³, Jeong-Ho Lee⁴, Bo-Hye Nam¹, Younhee Shin²

Affiliations

¹ Biotechnology Research Division, National Institute of Fisheries Science, Geoje, Republic of Korea.
² Research and Development Center, Yongin-si, Gyeonggi-do, Republic of Korea.
³ Fisheries Seed and Breeding Research Institute, National Institute of Fisheries Science, Busan, Republic of Korea.
⁴ Fish Genetics and Breeding Research Center, National Institute of Fisheries Science, Geoje, Republic of Korea.

No abstract available

Keywords: Haliotis discus hannai; abalone; aquaculture; genotype; heat resistant.

Grants and funding

This work was supported by the Collaborative Genome Program of the Korea Institute of Marine Science and Technology Promotion funded by the Ministry of Oceans and Fisheries (No. 20180430) and the National Institute of Fisheries Science, Ministry of Oceans and Fisheries, South Korea (R2022028).