Yaman Yalçın, Aymaz Ramazan, Keleş Murat, Kişi Yiğit Emir, Hatipoğlu Ecem, Özdemir Arzu, Çetinkaya Elif
Department of Genetics, Faculty of Veterinary Medicine, Siirt University, Siirt, 56000, Turkey.
Sheep Research and Breeding Institute, Bandırma, Balıkesir, Turkey.
BMC Vet Res. 2025 Aug 8;21(1):511. doi: 10.1186/s12917-025-04957-9.
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.
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.
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.
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.
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.
绵羊已展现出对多样且贫瘠牧场的显著适应能力,这使其在全球气候变暖背景下的可持续养殖实践中具有极大优势。尽管它们具备适应能力,但当地绵羊品种通常表现不佳,这凸显了培育理想性状的必要性。基于传统混合线性模型(MLM)的单基因座全基因组关联(GWA)研究,由于其线性基因组扫描方法,在识别影响性状的多个基因座时可能存在不足,导致其在检测多基因效应方面效果欠佳。
采用多基因座全基因组关联研究(GWAS)方法,识别卡拉卡贝美利奴羔羊出生体重(BW)和断奶体重(WW)相关的遗传变异,并为这些具有重要经济意义的生长性状提出候选基因。
采用了五种多基因座方法,包括MrMLM、FastMrMLM、ISIS EM-BLASSO、FASTmrEMMA、pLARmEB和pKWmEB。这些方法利用两阶段过程来检测相关标记,首先以单基因座方法在较宽松的显著性阈值下进行筛选,然后使用多基因座GWA模型进行综合评估。基于内含子区域内的单核苷酸多态性(SNP)位置或相关SNP的±100 Kb范围内进行基因注释,以识别候选基因。
使用这五种多基因座方法,在卡拉卡贝美利奴羔羊中检测到11个对出生体重有显著影响的SNP和7个对断奶体重有显著影响的SNP。基因注释显示,大多数相关SNP位于蛋白质编码基因内或非常接近蛋白质编码基因,表明其在性状影响中发挥功能作用。基因GNAQ、CDKL4、PIPs、SLC7A1、PBRM1、SORCS3和NFATC1被确定为出生体重的候选基因,而BABAM2、LALBA、NOP14、FAM110B、SKAP1e、SVIL和ATXN1被提议为断奶体重的候选基因。
这些见解有助于更好地理解出生体重和断奶体重性状的遗传构成,支持为提高卡拉卡贝美利奴羊生长性能而优化育种计划的努力。