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Comparative genome-wide association study on body weight in Chinese native ducks using four models
Yuchen Zhang1, Chao Jia1, Shiwei Li2
1Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Nanjing Agricultural University, Nanjing, Jiangsu, 210095, China.
Poultry Science
|June 23, 2024
Summary
This study identified key genes influencing body weight in Jinling White ducks. These findings offer a genetic basis for improving duck breeding and understanding growth traits.
Area of Science:
- Animal Genomics
- Quantitative Genetics
- Poultry Science
Background:
- The Jinling White duck is a valuable breed with rapid growth and high meat quality.
- Understanding the genetic factors behind its body weight is crucial for further development.
- Current knowledge on the genetic architecture of body weight in this breed is limited.
Purpose of the Study:
- To identify candidate genes associated with body weight traits in Jinling White ducks.
- To analyze the genetic diversity within the Jinling White duck population.
- To provide a genomic resource for selective breeding programs.
Main Methods:
- Whole-genome resequencing of 201 Jinling White male ducks.
- Population genomic analyses to assess genetic diversity.
- Genome-wide association studies (GWAS) for body weight at multiple ages (birth to 7 weeks).
- Comparison of four statistical models, with a focus on the factored spectrally transformed linear mixed models (FaST-LMM).
Main Results:
- Rich genetic diversity was observed in the Jinling White duck population.
- FaST-LMM proved to be the most efficient statistical model for GWAS, minimizing false positives.
- Several candidate genes were identified for different body weight stages: PUS7, FBXO11, FOXN2, MSH6, SLC4A4 (birth); RAG2, TMEFF2 (1 week); STARD13, Klotho, ZAR1L (3 and 5 weeks); PLXNC1, ATP1A1, CD58, FRYL, OCIAD1, OCIAD2 (7 weeks).
Conclusions:
- This study provides a comprehensive genetic resource for Jinling White ducks.
- Identified candidate genes offer targets for marker-assisted selection to enhance growth traits.
- The findings contribute to a deeper understanding of duck growth and development genetics.

