胚胎
活检
男科
妊娠率
生物
胚胎移植
体内
怀孕
聚合酶链反应
妊娠期
妇科
病理
医学
遗传学
基因
作者
R. V. Sousa,Célia Regina da Silva Cardoso,Guilberth Butzke,M. A. N. Dode,R. Rumpf,Maurício Machaim Franco
标识
DOI:10.1016/j.theriogenology.2016.11.003
摘要
Assisted reproductive techniques have significantly contributed to animal breeding programs. Similarly, genomics has provided important information and tools to improve the accuracy of selection. However, the greatest benefits of those tools can only be expected when they are combined, allowing animals to be selected accurately early in life. Therefore, obtaining DNA samples from embryos without compromising their viability is essential for the consolidation of preimplantation genomic selection. We aimed to evaluate the effect on the gestation rate of conducting a biopsy of in vivo (VV) and in vitro-produced (IVP) bovine embryos. The VV and IVP embryos were distributed into two groups: VV-B (biopsied embryos; n = 380) and VV-C (intact embryos–controls; n = 229) and IVP-B (biopsied embryos; n = 91) and IVP-C (intact embryos–controls; n = 227), respectively. After biopsy, embryos from both groups VV-B and IVP-B were cultured for an additional 3 hours before being transferred to synchronized recipients. To evaluate the quality of the DNA obtained in the biopsies, this was used to determine the sex of embryos by polymerase chain reaction. No effect (P > 0.05) of the biopsy was observed for any of the treatments, the pregnancy rate at D 60 post-transfer being similar for VV-B: 206/380 (54.21%) and VV-C: 128/229 (55.89%) and for IVP-B: 24/91 (26.37%) and IVP-C: 45/227 (19.82%). Also, no effect (P > 0.05) of the embryo's stage of development was detected on percentage of pregnant recipients when in vitro embryos were transferred. From the biopsies analyzed, about 90% had the sex determined, confirming that DNA was there and it was efficiently amplified. The results indicated that biopsy does not affect the viability of IVV and IVP bovine embryos and can be used in commercial programs to associate assisted reproductive technologies with genomic selection.
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