Genetic monitoring of breeding colony through evaluation of genetic diversity within and between the inbred lines by using microsatellite markers
DOI:
https://doi.org/10.48165/jlas.2022.5.2.5Keywords:
Mouse, Litter Size, Genetic Diversity, Microsatellite MarkerAbstract
BALB/c strain is the most commonly used animal research mouse model in biology/Bio-medical research. From BALB/c strain many of inbred, congenic and transgenic models were established and being used for the betterment of humans as well as domestic animals. At CSIR-IIIM, Jammu animal house facility conducted study for evaluation genetic diversity of inbred lines of BALB/c strain. Animals were maintained in SPF condition with routine health monitoring. Selection was conducted based on growth and reproduction performance of the mothers. Four selected lines and an unselected control line were maintained throughout the experiment. After, 20th generation of full sib mating, we obtained three different lines. All the three lines of BALB/c strain shows standardized litter size of 8 pups at birth. All line mice were genotyped by using established 14 pair of microsatellite markers and genetic diversity analysis. The Effective number of alleles was reported 1.021±0.016 in overall experimental population. Shannon’s Index for within lines was 0 and among lines was 0.019±0.014. The Estimated Diversity (u) was 0 for within lines, 0.052 ±0.036 for control lines and 0.013±0.009 for among population. Polymorphic information content (PIC) observed in D11Mit260 marker. Line1 was showing very little Genetic distance with Line 2 (0.154) followed by control line (0.114) and Line 3 (0.074). Control line and Line 2 showed very close genetic distance (0.010). It is concluded that BALB/c strain has no diversity within line and has very little diversity between lines after 20th generation of full-sib mating.
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References
1. Bowcock AM, Ruiz-linares A, Ttomfogrde J, Minch E and Kidd JR. 1994. High resolution of human evolutionary trees with polymorphic microsatellites. Nature. 368: 455-457.
2. Brown TA. 2002. Studing genomes, Genome, II, Manchester, Oxford: WikyLiad.
3. Dietrich W, Katz H, Lincoln SE, Shin H, Friedman J, Dracopoli, NC and Lander ES. 1992. A Genetic Map of the Mouse Suitable for Typing Intraspecific Crosses. The Genetics Society of America. Genetics. 131: 423-447.
4. Farber CR and Medrano JF. 2007. Fine mapping reveals sex bias in quantitative trait loci affecting growth, skeletal size and obesity- related traits in mouse chromosome 2 and 111. Genetics. 175: 349-360.
5. Gill KJ and Boyle AE. 2005. Genetic basis for the psychostimulant effects of nicotine: a quantitative trait locus analysis in AcB/ BcA recombinant congenic mice. Genes Brain Behav. 24: 401- 411.
6. Gregorova S, Mnukova- Fajdelova M, Trachtulee Z, Capkova J, Loudova M, Hoylund M, Hamvas R, Lehrach H, Vincek V, Klein J and Forejt J. 1996. Sub- millimorgn map of the proximal part of mouse chromosome 17 including the hybrid sterility 1 gene. Mamm genome. 7: 107-113.
7. Henderson ST and Petes TD. 1992. Instability of simple sequence DNA in Saccharomyces cerevisie. Molecular Cell Biolog. 12: 2749- 2757.
8. Jeffreys AJ, Royle NJ, Wilson V and Wong Z. 1988. Spontaneous mutation rates of new length alleles at tandem-repetitive hypervariable loci in human DNA. Nature. 322: 278-281.
9. Johannes F, Blizard DA, Lionikas A, Lang DH, Vandenbergh DJ, Stout JT, Strauss JA, McClearn GE and Vogler GP. 2006. QTL influencing baseline hematocrit in the C57BL/6J and DBA/2J lisneage: age- related effects. Mamm Genome 17: 689-699.
10. Juriloff DM, Harris MJ, Mah DG and Benson A. 1996. The lid gap-gate (IgGa) mutation for open eyelid at birth maps to mouse chromosome 13. Mamm Genomes. 7: 403-407.
11. Kaerlsson J, Zhao X, Lonskaya I, Neptin M, Holmdahl R and Andersson A. 2003. Novel quantitative trait loci controlling development of experimental auto- immune encephalomyelitis and proportion of lymphocyte sub- populations. J Immuno. 170: 1019-1026.
12. Kelly PB and McKinnon DA. 1991. Familal multiple polyposis of the colon: review and description of large kindred. McGill Med 30: 67-85.
13. Little CC. 1916 Cancer and inbred mice. Genetics. 161: 1357–1361.
14. Namiki Y, Endoh D and Kon Y. 2003. Genetic mutation associated with meiotic metaphase specific apoptosis in MRL/ MpJ mice genome feature. Mol. Reprod. Dev. 64: 179-188.
15. Narita M, Wang Y, Kita A, Omi N, Yamada Y and Mia H. 2002. Genetic analysis of nakano cataract and its modifier genes in mice. Exp. Eye Res. 75: 745-751.
16. Oharaseki T, Kameoka Y, Kura F, Persad AS, Suzuki K and Naoe S. 2005. Susceptibility loci to coronary arteritis in animal model of Kawasaki disease induced with Candida albicans derived substances. Microbiol Immuno. l49: 181- 189.
17. Papa R and Gepts P. 2003. Asymmetry of gene flow and differential geographical structure of molecular diversity in wild and domesticated common bean (Phaseolus vulgaris L.) from Mesoamerica. Theor Appl Genet. 106: 239–250.
18. Rocha JL, Eisen EJ, Van Vleck LD and Pomp D. 2004. A large-sample QTL study in mice: II. Body composition. Mamm Genome. 15: 100-113.
19. Sambrook J and Russell DW. 1989. Molecular Cloning a laboratory manual. 3rd edition. New York: Cold Spring Harbor laboratory Press.
20. www.informatics.jax.org/
21. Potter M,1985. The BALB/c mouse. Current Topics in Microbiol. Immunol. 122. Springer-Varlag, Berlin, New York, Tokyo. 22. Hilgers J. and Arends J. W. A. (1985) A series of recombinant inbred strains between BALB/cHeA and STS/A strains. Curr. Top Microbiol. Immunol. 122, 31-37.
23. Peter E. Smouse, Michael R. Whitehead and Rod Peakall. 2015 An informational diversity framework, illustrated withsexually deceptive orchids in early stages of speciation. Mol Ecol Res. 15, 1375–1384.
24. Shannon C (1948) A mathematical theory of communication. Bell Systems Technical Journal 27, 623–656.
25. Sherwin WB, Jabot F, Rush R, Rossetto M (2006) Measurement of biological information with applications from genes to landscapes. Mol Ecol. 15, 2857–2869.
26. Sherwin WB (2010) Entropy and information approaches to genetic diversity and its expression: genomic geography. Entropy.. 12, 1765–1798.