精子动力学分析与其体内、体外受精能力的相关性

Correlation between Sperm Kinetics Parameters and Fertility of Holstein Sex-sorted Spermin vitro and in vivo

旨在通过对精子动力学参数的分析,预测其在体外受精和人工授精中的受精能力。本研究采用计算机辅助精子分析系统(CASA)对3头荷斯坦公牛的性控分离精子进行动力学检测;同时进行体外受精和人工授精试验,统计体外受精的受精率、卵裂率、囊胚率、囊胚细胞数(TCN)、内细胞团细胞数/囊胚细胞数比例(ICM/TCN)和人工授精妊娠率。结果发现,精子的路径速度(102.82、91.55、80.67)、曲线速度(201.75、180.23、168.58)、侧摆幅度(9.33、8.31、7.42)在公牛A、B、C间呈显著差异(P<0.05),并与其体外受精过程中的受精率、胚胎卵裂率呈显著正相关。公牛A精子的鞭打频率(20.36)、直线性(46.06)显著高于公牛B(18.05、42.00)、C(16.23、40.81),且与体外受精的囊胚率呈显著正相关(P<0.05)。公牛A、B精子的活力(38.00、36.50)、直线速度(80.62、79.00)显著高于公牛C(29.00、68.20),该参数与ICM/TCN呈正相关(P<0.05)。然而精子动力学的所有参数均与人工授精的妊娠率之间无相关性。综上表明,精子的动力学参数可以预测体外受精中公牛的受精能力,但对其人工授精结果的预测还需要进一步研究。

This study was performed to predict fertility of bull sperm during in vitro fertilization（IVF）and artificial insemination（AI）according to its kinetics parameters.The sex-sorted sperm from 3Holstein bulls were estimated with computer assisted sperm analysis system（CASA）.Moreover,the IVF and AI with those sperm were carried out.The rate of fertilization,embryo cleavage,blastocyst formation and TCN,ICM/TCN of blastocyst obtained by IVF,conception rate during AI were counted and analyzed.Results showed that VAP（102.82 vs 91.55 vs 80.67）,VCL（201.75 vs 180.23 vs 168.58）,ALH（9.33 vs 8.31 vs 7.42）of sperm were significantly different among bull A,B,C（P〈0.05）.Additionally above 3parameters were positively correlated with the fertilization rate,cleavage rate of IVF embryos.Sorted sperm from bull A had a significantly higher BCF（20.36 vs 18.05 16.23）and LIN（46.06 vs 42.00 40.81）than that from bull B,C（P〈0.05）.Also,the 2parameters were positively correlated with blastocyst rate of IVF embryos.Vitality（29.00 vs 38.00 80.62）,VSL（68.20 vs 36.50 79.00）of sperm from bullCwere significantly lower than that from bull A and B（P〈0.05）,and had a positive correlation with ICM/TCN of blastocysts.However there was no correlation between the kinetics parameters and conception rate in AI.Conclusively,the fertility of sperm in IVF can be predicted by the kinetics analysis,but that prediction in AI requires further research.