Optimizing Breeding Strategies for Peking Ducks Using Genomic Selection: Genetic Parameter Evaluation and Selection Progress Analysis
收藏Figshare2024-07-18 更新2026-04-08 收录
下载链接:
https://figshare.com/articles/dataset/Optimizing_Breeding_Strategies_for_Peking_Ducks_Using_Genomic_Selection_Genetic_Parameter_Evaluation_and_Selection_Progress_Analysis/26326237/1
下载链接
链接失效反馈官方服务:
资源简介:
Blood samples were drawn from the metatarsal vein using standard venipuncture and collected in vacuum tubes. Genomic DNA was extracted using the QIAampR DNA Blood Mini Kit (QIAGEN). Whole-genome resequencing was performed on the DNBSEQ-T7 platform with 150bp paired-end reads, achieving an average depth of over 2X per generation. For subsequent analysis, reads were aligned to the mallard duck reference genome ASM874695v1 [15] using BWA (v0.7.10) [16]. Following alignment, SNPs were identified using GATK HaplotypeCaller (v4.1) [17], with parameters set to default except for -stand_call_conf set to 30. Subsequently, the individual gvcf files were merged, and autosomal quality control was performed using VCFtools (v0.1.16) [18] with the parameters --remove-indels, --minQ 30, --min-alleles 2, and --max-alleles 2 to filter SNP sites for genotype imputation. After this, STITCH (v1.6.10) [19] was used for genotype imputation. Post-imputation, quality control was conducted using BCFtools (v1.8) [20] with INFO_SCORE > 0.4. Then, PLINK (v 1.90) [21] was used for further quality control based on --maf 0.01, --geno 0.05, and --mind 0.05. Following this, linkage disequilibrium pruning was performed with parameters 50 5 0.2 to extract independent SNP sites. Finally, 365,860 SNPs were retained for subsequent analysis (Figure S4).
提供机构:
Zhou, Jun
创建时间:
2024-07-18



