数种神经科学常用基因修饰小鼠生育状况的影响因素分析  

Analysis of influencing factors on fertility status of several genetically modified mice commonly used in neuroscience

作　　者：黄琦逸 齐宇欣 毛宏晖 武胜昔 王文挺 姜鸣 HUANG Qiyi;QI Yuxin;MAO Honghui;WU Shengxi;WANG Wenting;JIANG Ming(Department of Biology,School of Life Sciences,Yan'an University,Yan'an 716000,China;Department of Neurobiology,School of Basic Medical Sciences,Air Force Medical University,Xi'an 710032,China)

机构地区：[1]延安大学生命科学学院生物学系,陕西延安716000 [2]空军军医大学基础医学院神经生物学教研室,陕西西安710032

出　　处：《空军军医大学学报》2023年第2期117-122,共6页Journal of Air Force Medical University

基　　金：国家自然科学基金(82160230,81771476);陕西省重点研发计划项目(2020ZDLSF01-09)。

摘　　要：目的探究神经科学常用基因修饰小鼠生育状况的影响因素。方法追溯10年内2642笼多种基因型健康雌雄小鼠的配种及生育数据,探究季节、配种雌雄小鼠的基因型、配种雌雄小鼠的年龄对每窝新生小鼠数量及配种-生产间期的影响。结果多元线性回归分析结果显示,配种雌性小鼠年龄(P<0.001)、配种雄性小鼠年龄(P=0.007)、配种雌性小鼠基因型(P=0.018)、配种雄性小鼠基因型(P=0.002)均对新生小鼠数量有显著性影响,而季节(P=0.803)未显著影响新生小鼠数量;新生小鼠配种-生产间期多元线性回归分析的结果显示,季节因素(P=0.006)、配种雌性小鼠年龄(P<0.001)、配种雄性小鼠年龄(P<0.001)均对新生小鼠配种-生产间期有显著性影响,而配种雌性小鼠基因型(P=1.000)、配种雄性小鼠基因型(P=0.293)并未显著影响新生小鼠配种-生产间期。在此基础上对所筛选出的危险因素进行单因素分析,结果显示,在配种雌雄小鼠年龄均为青年期(雌:P<0.001,雄:P<0.001)、配种雌鼠基因型为野生型(P<0.001)且配种雄鼠基因型为多基因型(P=0.004)时新生小鼠数量最多;在春季(P=0.006)配种雌雄小鼠年龄均为青年期(雌:P<0.001,雄:P<0.001)时配种-生产间期最短。结论新生小鼠每窝的数量与配种小鼠的年龄及基因型显著相关;新生小鼠的配种-生产间期与季节及配种小鼠的年龄显著相关。基于此,建议在春季挑选青年期的雌雄小鼠并使配种雌鼠基因型为野生型且配种雄鼠基因型为多基因型时进行配种,此种方案可使新生小鼠数量最多且配种-生产间期最短。Objective To explore the influencing factors on fertility status of genetically modified mice commonly used in neuroscience. Methods The breeding and fertility data of 2 642 cages of healthy male and female mice with various genotypes in the past 10 years were traced to explore the effects of season, genotype of male and female mice, and age of male and female mice on the number of newborn mice per litter and the newborn latency since mating(NLM). Results The results of multiple linear regression analysis showed that the age of female mice(P<0.001), the age of male mice(P=0.007), the genotype of female mice(P=0.018), and the genotype of male mice(P=0.002) had a significant effect on the number of newborn mice, but season(P=0.803) had no significant effect on the number of newborn mice. The results of multiple linear regression analysis of the NLM showed that seasonal factors(P=0.006), the age of female mice(P<0.001) and the age of male mice(P<0.001) all had significant effects on the NLM, while the genotype of female mice(P=1.000) and the genotype of male mice(P=0.293) did not significantly affect the NLM. On this basis, univariate analysis of the selected risk factors showed that the number of newborn mice was the largest when both male and female mice were young(female: P<0.001, male: P<0.001), the genotype of female mice was wild type(P<0.001), and the genotype of male mice was multi-gene type(P=0.004). In spring(P=0.006), when both male and female mice were young(female: P<0.001, male: P<0.001), the NLM was the shortest. Conclusion The number of newborn mice per litter is significantly correlated with the age and genotype of the mated mice. The NLM is significantly related to the season and the age of the mated mice. Based on this, we suggest that young male and female mice should be selected in spring, and the mating should be conducted when the genotype of mated female mice is wild type and the genotype of mated male mice is multi-gene type. This scheme can maximize the number of newborn mice and minimize t

关 键 词：生育状况 多元线性回归 基因修饰小鼠 

分 类 号：R339.2[医药卫生—人体生理学] Q95-33[医药卫生—基础医学]