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Porcine sperm binding to oviduct cells and glycans as supplements to traditional laboratory semen analysis

机译:猪精子结合输卵管细胞和聚糖作为传统实验室精液分析的补充

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摘要

Accurate semen evaluation is necessary to maintain high reproductive efficiency but difficult to accomplish. The objective was to determine if the ability to bind oviduct cells or oviduct glycans are useful supplements to traditional semen analyses. Measuring binding to specific soluble glycans is less laborious than assessing binding to oviduct cell aggregates and more suitable for routine use. Previous work has shown that sperm binding to oviduct cells improves fertility prediction, possibly by estimating the ability of sperm to form an oviduct reservoir. The two oviduct glycan motifs, biantennary 6-sialylated -acetyllactosamine (bi-SiaLN) and Lewis trisaccharide (Le ), that bind boar spermatozoa with high affinity and specificity were tested. Semen from 30 boars was shipped overnight for laboratory analysis and for inseminations to determine fertility ( = 3 replicates). Oviduct cell binding and traditional sperm analyses including motility and morphology were completed. Additionally, binding to soluble fluoresceinated glycans bi-SiaLN, sulfated Le (suLe ), and the control lactosamine disaccharide (LacNAc) was measured. Inseminations were at 15 farms (>50 matings per boar) in the Midwest and farrowing data from all matings were used. Pregnancy rate ( ) and litter size ( ) were adjusted to account for different farms, number of services, number of doses inseminated, and sow parity, using the MIXED procedure in SAS 9.4. A fertility index ( ) was generated, consisting of PR × LS, to estimate boar overall fertility. Finally, the GLMSELECT procedure was used to select variables having a significant impact on PR, LS, and FI. The predictive models constructed were further analyzed using the REG procedure and accounted for 58% or more of the variation in PR, LS, and FI [PR ( < 0.001, = 0.60), LS ( < 0.001, = 0.58), and FI ( < 0.001, = 0.63)]. The final model for PR includes oviduct cell binding as well as boar age, % distal droplets, head morphology, tail morphology, beat/cross frequency, and curvilinear velocity. The final model for LS includes boar age, % distal droplets, tail morphology, and overall morphology. Finally, the FI model included boar age, % distal droplets, head morphology, tail morphology, curvilinear velocity, and semen volume per ejaculate. Although binding to intact oviduct cells was impactful as a means to predict PR, binding to specific soluble oviduct glycans was not a useful supplement to traditional semen analysis.
机译:准确的精液评估是维持高生殖效率所必需的,但很难实现。目的是确定结合输卵管细胞或输卵管聚糖的能力是否是传统精液分析的有用补充。测量与特定可溶性聚糖的结合要比评估与输卵管细胞聚集体的结合省力,并且更适合常规使用。先前的研究表明,精子与输卵管细胞的结合可以提高对生育力的预测,这可能是通过估计精子形成输卵管的能力来进行的。测试了以高亲和力和特异性结合公猪精子的两个输卵管聚糖基序,双触角6-唾液酸化的乙酰基乳糖胺(bi-SiaLN)和路易斯三糖(Le)。将30头公猪的精液运输过夜以进行实验室分析和授精以确定生育力(= 3次重复)。输卵管细胞结合和传统的精子分析(包括运动性和形态)均已完成。另外,测量与可溶性荧光素聚糖bi-SiaLN,硫酸化Le(suLe)和对照乳糖胺二糖(LacNAc)的结合。在中西部的15个农场(每个公猪交配50个交配)进行了授精,并使用了所有交配的分娩数据。使用SAS 9.4中的MIXED程序,对妊娠率()和产仔数()进行了调整,以适应不同的农场,服务数量,受精剂量和母猪均等。产生了一个繁殖指数(),由PR×LS组成,用以估计公猪的总体繁殖力。最后,使用GLMSELECT程序选择对PR,LS和FI具有重大影响的变量。使用REG程序进一步分析构建的预测模型,并得出PR,LS和FI [PR(<0.001,= 0.60),LS(<0.001,= 0.58)和FI( <0.001,= 0.63)]。 PR的最终模型包括输卵管细胞结合,公猪年龄,远侧飞沫百分比,头部形态,尾部形态,搏动/交叉频率和曲线速度。 LS的最终模型包括公猪年龄,远侧飞沫百分比,尾巴形态和总体形态。最后,FI模型包括公猪年龄,远侧飞沫百分比,头部形态,尾部形态,曲线速度和每次射精的精液量。尽管与完整输卵管细胞的结合作为预测PR的手段非常有效,但与特定可溶性输卵管聚糖的结合并不是传统精液分析的有用补充。

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