【Animal Modeling】-Comparative analysis of genetic monitoring results of two closed populations of NIH mouse populations

  Objective: To monitor and analyze the genetic quality of two NIH closed group mouse populations in Beijing in the past 3 years.

  Method: Using the biochemical marker gene detection method, in 2011, the A and B two units of NIH mice were tested for polymorphisms at 14 genetic and biochemical marker sites such as alkaline phosphatase-1. In 2014, the same method and principles were used to sample and test the NIH mouse population of unit B, and the changes in the genetic composition of the mouse population over the past three years were compared.

  Results: In 2011, there were 6 biochemical markers (Ce2, Car2, Gpi1, Es10, Gpd1, Pgm1) in both NIH mouse populations of A and B units, and the B unit was also present at Es3. Polymorphism; the two groups of NIH mice are different at the Car2 locus (P<0.05), and there are significant differences at the Es3, Gpd1, and Pgm1 locus (P<0.01); the differentiation coefficient between the two groups is 0.0406, The genetic consistency index was 0.9619, and the genetic distance was 0.0388. Compared with 2011, NIH mice in the B unit closed group showed two homozygous loci (Ce2 and Gpd1) in 2014. At the same time, the difference between Es10 and Gpd1 was extremely significant (P<0.01), and the difference in Pgm1 loci Significantly (P<0.05); the differentiation coefficient between NIH mouse groups of different generations was 0.1103, the genetic consistency index was 0.8847, and the genetic distance was 0.1266.

  Conclusion: Group isolation, selection and breeding, population size and breeding generations have significant effects on the genetic composition of NIH mice. The genetic monitoring of NIH mice in a closed group should be strengthened during breeding and breeding to provide a guarantee for the stability of their genetic quality.