Batra Kanisht, Sehrawat Anju, Kumar Aman, Singh Man, Maan Sushila
Department of Animal Biotechnology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125004 India.
Department of Livestock Production and Management, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana 125004 India.
3 Biotech. 2023 Aug;13(8):268. doi: 10.1007/s13205-023-03689-7. Epub 2023 Jul 10.
Improving reproductive efficiency in livestock relies mainly on the ability to detect pregnancy quickly and accurately. Recently, circulating nucleic acids (CNAs) have been exploited for prenatal diagnosis in humans and animals. In the current investigation, serum samples were collected from pregnant animals ( = 30) and non-pregnant animals ( = 20) on 0th, 6th, 12th, and 18th day post artificial insemination. Total DNA was isolated from these serum samples. Two CNA tags (Bov-B and ART2A) derived from repetitive sections of the bovine genome were amplified using DNA extracted from serum samples. The expression analysis of these CNAs was done using real-time polymerase chain reaction assay, and copy number of each tag was calculated in pregnant and non-pregnant animals. The average number of copies of Art2A increased approximately threefold ( < 0.01) from day zero of pregnancy (7,000 copies) to the day 18 of pregnancy (> 21,000). Similarly, BovB levels in the pregnant group increased significantly (approximately 2.9-fold) from day zero (93,900 copies) till day 18 (> 2, 72,310 copies) ( < 0.01). There was no significant change observed on the 6th and 12th day of pregnancy and on the 18th day in the non-pregnant animals. In conclusion, based on these findings, the defined cut-off value can distinguish between pregnant and non-pregnant animals with a sensitivity of nearly 80% and specificity of nearly 70%. It is possible to employ these two CNA tags as biomarkers for early detection of pregnancy in buffaloes.
提高家畜繁殖效率主要依赖于快速、准确地检测怀孕的能力。最近,循环核酸(CNA)已被用于人类和动物的产前诊断。在当前的研究中,在人工授精后的第0天、第6天、第12天和第18天,从怀孕动物(n = 30)和未怀孕动物(n = 20)中采集血清样本。从这些血清样本中分离出总DNA。使用从血清样本中提取的DNA扩增源自牛基因组重复区域的两个CNA标签(Bov-B和ART2A)。使用实时聚合酶链反应测定法对这些CNA进行表达分析,并计算怀孕和未怀孕动物中每个标签的拷贝数。Art2A的平均拷贝数从怀孕第0天(7000个拷贝)到怀孕第18天(> 21000个拷贝)增加了约三倍(P < 0.01)。同样,怀孕组中BovB水平从第0天(93900个拷贝)到第18天(> 272310个拷贝)显著增加(约2.9倍)(P < 0.01)。在怀孕第6天和第12天以及未怀孕动物的第18天未观察到显著变化。总之,基于这些发现,确定的临界值可以区分怀孕和未怀孕动物,灵敏度接近80%,特异性接近70%。有可能将这两个CNA标签用作水牛早期妊娠检测的生物标志物。