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Updated: Mar 7, 2026

RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord
Published on: November 1, 2014
Genome-wide association study for performance traits in chickens using genotype by sequencing approach
Fábio Pértille1, Gabriel Costa Monteiro Moreira1, Ricardo Zanella2
1University of São Paulo (USP)/Luiz de Queiroz College of Agriculture (ESALQ), Piracicaba, São Paulo, Brazil.
This study used CornellGBS and Genome-Wide Association Studies (GWAS) to identify genomic regions linked to chicken performance traits. Key single nucleotide polymorphisms (SNPs) were associated with feed conversion and body weight, aiding poultry breeding programs.
Area of Science:
- Animal Genetics
- Genomics
- Poultry Science
Background:
- Performance traits are crucial for economic viability in poultry breeding.
- Genomic approaches are increasingly used to identify genetic markers for these traits.
Purpose of the Study:
- To apply the CornellGBS approach and Genome-Wide Association Studies (GWAS) to an F2 chicken population.
- To identify single nucleotide polymorphisms (SNPs) associated with economically important performance traits in chickens.
Main Methods:
- Utilized the CornellGBS approach, generating 134,528 SNPs from a PstI restriction enzyme.
- Performed Genome-Wide Association Studies (GWAS) on an outbred F2 chicken population.
- Validated and imputed missed genotypes for the generated SNPs.
Main Results:
- Validated 91.7% of the 134,528 SNPs.
- Identified 20 SNPs associated with feed conversion and one SNP with body weight at 35 days (P < 7.86E-07).
- Found 93 SNPs suggestively associated with various performance traits (P < 1.57E-05), with 86.2% overlapping known quantitative trait loci (QTL).
Conclusions:
- The identified SNPs provide valuable genetic markers for chicken performance traits.
- Results suggest potential for novel QTL discovery and refinement.
- These SNPs can be utilized in future poultry breeding programs for trait selection.
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