Indriastuti Rhesti, Pardede Berlin Pandapotan, Gunawan Asep, Ulum Mokhamad Fakhrul, Arifiantini Raden Iis, Purwantara Bambang
Reproductive Biology Study Program, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor 16680, Indonesia.
Tuah Sakato Technology and Resource Development Center, Department of Animal Husbandry and Animal Health of West Sumatra, Payakumbuh 26229, Indonesia.
Animals (Basel). 2022 Oct 27;12(21):2955. doi: 10.3390/ani12212955.
Nowadays, selection of superior male candidates in livestock as a source of frozen semen based on sperm quality at the cellular level is not considered accurate enough for predicting the potential of male fertility. Sperm transcriptome analysis approaches, such as messenger RNA levels, have been shown to correlate with fertility rates. Using this technology in livestock growth has become the principal method, which can be widely applied to predict male fertility potential in the livestock industry through the analysis of the sperm transcriptome. It provides the gene expression to validate the function of sperm in spermatogenesis, fertilization, and embryo development, as the parameters of male fertility. This review proposes a transcriptomic analysis approach as a high-throughput method to predict the fertility potential of livestock more accurately in the future.
如今，在牲畜中基于细胞水平的精子质量来选择优质雄性候选者作为冷冻精液的来源，对于预测雄性生育潜力而言，被认为不够准确。精子转录组分析方法，如信使核糖核酸水平，已被证明与生育率相关。在牲畜养殖中使用这项技术已成为主要方法，通过精子转录组分析，它可广泛应用于预测畜牧业中的雄性生育潜力。它提供基因表达以验证精子在精子发生、受精和胚胎发育中的功能，作为雄性生育能力的参数。本综述提出转录组分析方法作为一种高通量方法，以便在未来更准确地预测牲畜的生育潜力。
