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Tracing founder haplotypes of Japanese apple varieties: application in genomic prediction and genome-wide association study
- Source :
- Horticulture Research
- Publication Year :
- 2021
- Publisher :
- Nature Publishing Group UK, 2021.
-
Abstract
- Haplotypes provide useful information for genomics-based approaches, genomic prediction, and genome-wide association study. As a small number of superior founders have contributed largely to the breeding history of fruit trees, the information of founder haplotypes may be relevant for performing the genomics-based approaches in these plants. In this study, we proposed a method to estimate 14 haplotypes from 7 founders and automatically trace the haplotypes forward to apple parental (185 varieties) and breeding (659 F1individuals from 16 full-sib families) populations based on 11,786 single-nucleotide polymorphisms, by combining multiple algorithms. Overall, 92% of the single-nucleotide polymorphisms information in the parental and breeding populations was characterized by the 14 founder haplotypes. The use of founder haplotype information improved the accuracy of genomic prediction in 7 traits and the resolution of genome-wide association study in 13 out of 27 fruit quality traits analyzed in this study. We also visualized the significant propagation of the founder haplotype with the largest genetic effect in genome-wide association study over the pedigree tree of the parental population. These results suggest that the information of founder haplotypes can be useful for not only genetic improvement of fruit quality traits in apples but also for understanding the selection history of founder haplotypes in the breeding program of Japanese apple varieties.
- Subjects :
- 0106 biological sciences
0301 basic medicine
education.field_of_study
Breeding program
Haplotype
Population
Genomics
Genome-wide association study
Plant Science
Horticulture
Biology
01 natural sciences
Biochemistry
Article
Plant breeding
03 medical and health sciences
030104 developmental biology
Evolutionary biology
Genetics
education
Selection (genetic algorithm)
010606 plant biology & botany
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 20527276 and 26626810
- Volume :
- 8
- Database :
- OpenAIRE
- Journal :
- Horticulture Research
- Accession number :
- edsair.doi.dedup.....ced76108259f18018472ebd2d81aac35