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Candidate genes for longitudinal traits under sequential sampling in beef cattle.

Virgínia Mara Pereira Ribeiro1, Gabriela Canabrava Gouveia1, Fabio Luiz Buranelo Toral1

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PubMed
Summary

Identifying functional candidate genes (FCGs) for beef cattle body weight is influenced by measurement age and sampling methods. The gene DUSP10 was consistently associated with body weight across all ages, highlighting its importance.

Keywords:
Nellorebody weightfunctional candidate genesgenome-wide associationgrowthlinear spline functionsrandom regression model

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Area of Science:

  • Animal Genetics
  • Quantitative Genetics
  • Genomics

Background:

  • Measurement age and pre-sampling procedures can impact the identification of functional candidate genes (FCGs) associated with traits in beef cattle.
  • Understanding genetic control of body weight across different growth stages is crucial for breeding programs.

Purpose of the Study:

  • To identify FCGs involved in the genetic control of body weight at five different ages in beef cattle.
  • To evaluate the impact of sequential sampling on genetic parameter estimation and genome-wide association study (GWAS) results.

Main Methods:

  • Body weight was measured at five ages (approx. 330–550 days) in a beef cattle population.
  • Genetic parameters were estimated using single-trait (STM) and random regression models (RRM) with two databases (all animals vs. 70% heaviest).
  • Genome-wide association studies (GWAS) were performed using 21,667 SNP markers to identify genomic windows and prioritize FCGs.

Main Results:

  • Seven FCGs were associated with body weight across different ages, with DUSP10 identified as a consistent FCG at all five ages.
  • Genetic parameters estimated using all animals (DB100) were similar between STM and RRM.
  • Sequential sampling (DB70) led to differences in genetic parameters, particularly when using STM, but not RRM.

Conclusions:

  • The importance of specific genes for animal growth can vary with age, with different genes being more relevant at different growth stages.
  • Sequential sampling strategies can influence GWAS outcomes for longitudinal traits like body weight in beef cattle.
  • Measurement timing and pre-sampling methods can introduce inconsistencies in FCG identification across studies.