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bioRxiv · 10.1101/2022.07.07.499257

Using polygenic risk score about complex traits to predict production performance in crossbreeding of yeast

Dai, Y.·Shi, G.·Chen, M.·Chen, G.·Wu, Q.
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Abstract

The cultivation of hybrids with favorable complex traits is one of the important goals for animal, plant, and microbial breeding practices. A method that can well predict the production performance of hybrids will be of great significance to the whole research and practice. In our study, polygenic risk scores (PRS) were introduced to estimate the production performance of Saccharomyces Cerevisiae. The genetic variation of 971 published isolates and their growth ratios under 35 medium conditions were analyzed by genome-wide association analysis, and the precise p-value threshold for each phenotype was calculated. Risk markers for the above 35 phenotypes were obtained. By estimating genotype of F1 hybrids according to that of the parents, the PRS of 613 F1 hybrids was predicted. There was a significant linear correlation between YPD40 and PRS in F1 and their parents (R2=0.2582, R2=0.2414, respectively), which indicates that PRS can be used to estimate the production performance of individuals and their hybrids. Our method can provide a reference for strains selection and F1 prediction in yeasts cross-breeding, reduce the workload and improve the work efficiency.

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Dai, Y., Shi, G., Chen, M., Chen, G., Wu, Q.. 2022-07-08. Using polygenic risk score about complex traits to predict production performance in crossbreeding of yeast. https://doi.org/10.1101/2022.07.07.499257

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