Soler Carles, Contell Jesús, Bori Lorena, Sancho María, García-Molina Almudena, Valverde Anthony, Segarvall Jan
Department of Functional Biology and Physical Anthropology, University of València, 46100 Burjassot, Spain.
R+D Department, Proiser R+D, Scientific Park, University of València, 46980 Paterna, Spain.
Asian J Androl. 2017 Mar-Apr;19(2):154-159. doi: 10.4103/1008-682X.188445.
This work provides information on the blue fox ejaculated sperm quality needed for seminal dose calculations. Twenty semen samples, obtained by masturbation, were analyzed for kinematic and morphometric parameters by using CASA-Mot and CASA-Morph system and principal component (PC) analysis. For motility, eight kinematic parameters were evaluated, which were reduced to PC1, related to linear variables, and PC2, related to oscillatory movement. The whole population was divided into three independent subpopulations: SP1, fast cells with linear movement; SP2, slow cells and nonoscillatory motility; and SP3, medium speed cells and oscillatory movement. In almost all cases, the subpopulation distribution by animal was significantly different. Head morphology analysis generated four size and four shape parameters, which were reduced to PC1, related to size, and PC2, related to shape of the cells. Three morphometric subpopulations existed: SP1: large oval cells; SP2: medium size elongated cells; and SP3: small and short cells. The subpopulation distribution differed between animals. Combining the kinematic and morphometric datasets produced PC1, related to morphometric parameters, and PC2, related to kinematics, which generated four sperm subpopulations - SP1: high oscillatory motility, large and short heads; SP2: medium velocity with small and short heads; SP3: slow motion small and elongated cells; and SP4: high linear speed and large elongated cells. Subpopulation distribution was different in all animals. The establishment of sperm subpopulations from kinematic, morphometric, and combined variables not only improves the well-defined fox semen characteristics and offers a good conceptual basis for fertility and sperm preservation techniques in this species, but also opens the door to use this approach in other species, included humans.
这项工作提供了精液剂量计算所需的蓝狐射精精子质量的信息。通过手淫获取了20份精液样本,使用CASA-Mot和CASA-Morph系统以及主成分(PC)分析对其运动学和形态测量参数进行了分析。对于活力,评估了八个运动学参数,这些参数被简化为与线性变量相关的PC1和与摆动运动相关的PC2。整个群体被分为三个独立的亚群:SP1,具有线性运动的快速细胞;SP2,慢速细胞和非摆动运动;以及SP3,中等速度细胞和摆动运动。在几乎所有情况下,按动物划分的亚群分布都有显著差异。头部形态分析产生了四个大小和四个形状参数,这些参数被简化为与大小相关的PC1和与细胞形状相关的PC2。存在三个形态测量亚群:SP1:大椭圆形细胞;SP2:中等大小的细长细胞;以及SP3:小而短的细胞。动物之间的亚群分布有所不同。将运动学和形态测量数据集结合起来产生了与形态测量参数相关的PC1和与运动学相关的PC2,这产生了四个精子亚群——SP1:高摆动活力、大而短的头部;SP2:中等速度、小而短的头部;SP3:慢速运动、小而细长的细胞;以及SP4:高线性速度、大而细长的细胞。所有动物的亚群分布都不同。从运动学、形态测量和组合变量建立精子亚群不仅改善了对蓝狐精液特征的明确界定,为该物种的生育力和精子保存技术提供了良好的概念基础,还为在其他物种(包括人类)中使用这种方法打开了大门。