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Background <p>Sheep have demonstrated remarkable adaptability to diverse and unproductive pastures, making them highly advantageous in the context of sustainable farming practices in the globally warming world. Despite their adaptation skills, local sheep breeds generally exhibit low performance, highlighting the need to develop desired traits. Traditional Mixed Linear Model (MLM)-based single-locus Genome-Wide Association (GWA) studies may fall short in identifying multiple loci influencing traits due to their linear genome scanning approach, rendering them less effective for detecting polygenic effects.</p> Objectives <p>To identify genetic variants associated with birth weight (BW) and weaning weight (WW) in Karacabey Merino lambs using multi-locus genome-wide association study (GWAS) approaches, and to propose candidate genes for these economically important growth traits.</p> Methods <p>Five multi-locus approaches were employed, including MrMLM, FastMrMLM, ISIS EM-BLASSO, FASTmrEMMA, pLARmEB, and pKWmEB. These methods utilize a two-stage process to detect associated markers, first screening with a single locus approach at a less strict significance threshold, followed by collective evaluation using multi-locus GWA models. Gene annotation was performed to identify candidate genes based on SNP locations within intron regions or within ± 100 Kb proximity of associated SNPs.</p> Results <p>Using the five multi-locus approaches, 11 SNPs were detected with significant effects on birth weight and seven SNPs on weaning weight in Karacabey merino lambs. Gene annotation revealed most associated SNPs were within or very close to protein-coding genes, suggesting a functional role in trait influence. The genes <i>GNAQ</i>, <i>CDKL4</i>, <i>PIP</i>, <i>SLC7A1</i>, <i>PBRM1</i>, <i>SORCS3</i>, and <i>NFATC1</i> were identified as candidate genes for birth weight, while <i>BABAM2</i>, <i>LALBA</i>, <i>NOP14</i>, <i>FAM110B</i>, <i>SKAP1</i>, <i>SVIL</i>, and <i>ATXN1</i> were proposed as candidate genes for weaning weight.</p> Conclusion <p>These insights contribute to a better understanding of the genetic makeup of birth weight and weaning weight traits, supporting efforts to refine breeding programs for improved growth performance in Karacabey merino sheep.</p> Graphical Abstract <p></p>

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Investigation of growth traits in Turkish Merino lambs using multi-locus GWAS approaches: Karacabey Merino

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月8日

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  • Yalçın Yaman,
  • Ramazan Aymaz,
  • Murat Keleş,
  • Yiğit Emir Kişi,
  • Ecem Hatipoğlu,
  • Arzu Özdemir,
  • Elif Çetinkaya

摘要

Background

Sheep have demonstrated remarkable adaptability to diverse and unproductive pastures, making them highly advantageous in the context of sustainable farming practices in the globally warming world. Despite their adaptation skills, local sheep breeds generally exhibit low performance, highlighting the need to develop desired traits. Traditional Mixed Linear Model (MLM)-based single-locus Genome-Wide Association (GWA) studies may fall short in identifying multiple loci influencing traits due to their linear genome scanning approach, rendering them less effective for detecting polygenic effects.

Objectives

To identify genetic variants associated with birth weight (BW) and weaning weight (WW) in Karacabey Merino lambs using multi-locus genome-wide association study (GWAS) approaches, and to propose candidate genes for these economically important growth traits.

Methods

Five multi-locus approaches were employed, including MrMLM, FastMrMLM, ISIS EM-BLASSO, FASTmrEMMA, pLARmEB, and pKWmEB. These methods utilize a two-stage process to detect associated markers, first screening with a single locus approach at a less strict significance threshold, followed by collective evaluation using multi-locus GWA models. Gene annotation was performed to identify candidate genes based on SNP locations within intron regions or within ± 100 Kb proximity of associated SNPs.

Results

Using the five multi-locus approaches, 11 SNPs were detected with significant effects on birth weight and seven SNPs on weaning weight in Karacabey merino lambs. Gene annotation revealed most associated SNPs were within or very close to protein-coding genes, suggesting a functional role in trait influence. The genes GNAQ, CDKL4, PIP, SLC7A1, PBRM1, SORCS3, and NFATC1 were identified as candidate genes for birth weight, while BABAM2, LALBA, NOP14, FAM110B, SKAP1, SVIL, and ATXN1 were proposed as candidate genes for weaning weight.

Conclusion

These insights contribute to a better understanding of the genetic makeup of birth weight and weaning weight traits, supporting efforts to refine breeding programs for improved growth performance in Karacabey merino sheep.

Graphical Abstract