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Published on: June 23, 2012
Genotype imputation improves SNP density and genetic analysis accuracy in slash pine
Yu-Xuan Jiang1, Li-Ming Bian1, Shi-Liang Zhou1
1State Key Laboratory of Tree Genetics and Breeding, Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry and Grassland, Nanjing Forestry University, Nanjing 210037, China.
Yi Chuan = Hereditas
|May 18, 2026
Summary
This study developed a high-density genotype resource for slash pine (Pinus elliottii) by imputing low-density SNP array data using whole-genome sequencing. This improves genomic relationship matrix estimation for genetic analyses in conifers.
Area of Science:
- Forest Genetics
- Genomics
- Bioinformatics
Background:
- Slash pine (Pinus elliottii) has a large, complex genome, limiting current SNP array utility.
- Low marker density hinders accurate population genetic analyses and genomic relationship matrix (GRM) estimation.
Purpose of the Study:
- To increase marker density for slash pine genetic studies.
- To enhance the accuracy of GRM estimation using genome-wide imputation.
- To create a high-density genotypic resource for slash pine.
Main Methods:
- Constructed a reference panel from 10× whole-genome resequencing of 50 slash pine parents.
- Performed genome-wide imputation for 51K SNP-array genotypes of 715 progeny.
- Validated imputation accuracy using masking experiments and external progeny resequencing data.
Main Results:
- Achieved 95.5% imputation accuracy at array loci.
- Generated a high-density genotype matrix with 120,650,180 SNPs.
- Observed improved linkage disequilibrium (LD) signal continuity and clearer LD block structures.
- GRM derived from imputed data showed high consistency (Pearson's r≈0.984) with array-based GRM.
Conclusions:
- The developed imputation framework provides a valuable high-density genotypic resource for slash pine.
- This resource facilitates genome-wide association studies and genomic selection in slash pine and other conifers.
- Imputed loci within 500 kb of array markers yielded the highest concordance for GRM construction.
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