Skip to main content
Log in

The phenotypic distribution of quantitative traits in a wild mouse F1 population

  • Published:
Mammalian Genome Aims and scope Submit manuscript

Abstract

The human complex diseases such as hypertension, precocious puberty, and diabetes have their own diagnostic thresholds, which are usually estimated from the epidemiological data of nature populations. In the mouse models, numerous phenotypic data of complex traits have been accumulated; however, knowledge of the phenotypic distribution of the natural mouse populations remains quite limited. In order to investigate the distribution of quantitative traits of wild mice, 170 F1 progeny aged 8–10 weeks and derived from wild mice collected from eight spots in the suburbs of Shanghai were tested for their values of anatomic, blood chemical, and blood hematological parameters. All the wild mice breeders were of Mus. m. musculus and Mus. m. castaneus maternal origin according to the single nucleotide polymorphism (SNP) markers of the mitochondrial DNA. The results showed that phenotypes in wild mice had a normal distribution with four to six times the standard deviation. For the majority of the traits, the wild outbred mice and laboratory inbred mice have significantly different ranges and mean values, whereas the wild mice did not necessarily show more phenotypic diversity than the inbred ones. Our data also showed that natural populations may have some unique phenotypes related to sugar and protein metabolism, as the mean value of wild mice differ dramatically from the inbred mice in the levels of blood glucose, BUN (blood urea nitrogen), and total blood protein. The epidemiological information of the complex traits in the nature population from our study provided valuable reference for the application of mouse models in those complex disease studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Bao SM, Zhao G, Zhang RZ, Shi ML, He XQ, Zhu TY (1999) Study on genetic differentiation of Mus musculus in China. Zoological Research in China. Chinese Forestry Press, Beijing, pp 917–944

    Google Scholar 

  • Boursot P, Auffray J, Britton-Davidian J, Bonhomme F (1993) The evolution of house mice. Annu Rev Ecol Syst 24:119–152

    Article  Google Scholar 

  • Brown SD, Hancock JM, Gates H (2006) Understanding mammalian genetic systems: the challenge of phenotyping in the mouse. PLoS Genet 2:1131–1137

    Article  CAS  Google Scholar 

  • Fan ZP, Zhu WS, Zhang C, Zhou YX, Li K, Liang YM, Xing ZH, Chen GQ, Bai X, Xiao JH (2008) SNP discovery by F-CSGE in the coding region of mitochondrial DNA in wild house mice from Shanghai suburb. Hereditas 30(4):475–482 [in Chinese]

    PubMed  CAS  Google Scholar 

  • Guénet JL, Bonhomme F (2003) Wild mice: An ever-increasing contribution to a popular mammalian model. Trends Genet 19:24–31

    Article  PubMed  Google Scholar 

  • Hunter KW, Crawford NP (2008) The future of mouse QTL mapping to diagnose disease in mice in the age of whole-genome association studies. Annu Rev Genet 42:131–141

    Article  PubMed  CAS  Google Scholar 

  • Korstanje R, Paigen B (2002) From QTL to gene: The harvest begins. Nat Genet 31:235–236

    Article  PubMed  CAS  Google Scholar 

  • Laurie CC, Nickerson DA, Anderson AD, Weir BS, Livingston RJ, Dean MD, Smith KL, Schadt EE, Nachman MW (2007) Linkage disequilibrium in wild mice. PLoS Genet 3:e144

    Article  PubMed  Google Scholar 

  • Leung YF, Tam PO, Tong WC, Baum L, Choy KW, Lam DS, Pang CP (2001) High-throughput conformation-sensitive gel electrophoresis for discovery of SNPs. Biotechniques 30(334–335):338–340

    Google Scholar 

  • Mackay TF (2009) Q&A: Genetic analysis of quantitative traits. J Biol 8:23

    Article  PubMed  Google Scholar 

  • Peters LL, Robledo RF, Bult CJ, Churchill GA, Paigen BJ, Svenson KL (2007) The mouse as a model for human biology: a resource guide for complex trait analysis. Nat Rev Genet 8:58–69

    Article  PubMed  CAS  Google Scholar 

  • Prager EM, Tichy H, Sage RD (1996) Mitochondrial DNA sequence variation in the eastern house mouse, Mus musculus: comparison with other house mice and report of a 75-bp tandem repeat. Genetics 143:427–446

    PubMed  CAS  Google Scholar 

  • Saitou N, Nei M (1987) The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406–425

    PubMed  CAS  Google Scholar 

  • Salcedo T, Geraldes A, Nachman MW (2007) Nucleotide variation in wild and inbred mice. Genetics 177:2277–2291

    Article  PubMed  CAS  Google Scholar 

  • Tamura K, Dudley J, Nei M, Kumar S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 24:1596–1599

    Article  PubMed  CAS  Google Scholar 

  • Teeter KC, Payseur BA, Harris LW, Bakewell MA, Thibodeau LM, O’Brien JE, Krenz JG, Sans-Fuentes MA, Nachman MW, Tucker PK (2008) Genome-wide patterns of gene flow across a house mouse hybrid zone. Genome Res 18:67–76

    Article  PubMed  CAS  Google Scholar 

  • Trachtulec Z, Vlcek C, Mihola O, Gregorova S, Fotopulosova V, Forejt J (2008) Fine haplotype structure of a chromosome 17 region in the laboratory and wild mouse. Genetics 178:1777–1784

    Article  PubMed  CAS  Google Scholar 

  • Velasco E, Infante M, Duran M, Ptrez-Cabornero L, Sanz DJ, Esteban-Cardefiosa E, Miner C (2007) Heteroduplex analysis by capillary array electrophoresis for rapid mutation detection in large multiexon genes. Nat Protoc 2(1):237–246

    Article  PubMed  CAS  Google Scholar 

  • Xiao Z, Xiao J, Jiang Y, Zhang S, Yu M, Zhao J, Wei D, Cao H (2006) A novel method based on ligase detection reaction for low abundant YIDD mutants detection in hepatitis B virus. Hepatol Res 34(3):150–155

    Article  PubMed  CAS  Google Scholar 

  • Xiao J, Liang Y, Li K, Zhou Y, Cai W, Zhou Y, Zhao Y, Xing Z, Chen G, Jin L (2010) A novel strategy for genetic dissection of complex traits: the population of specific chromosome substitution strains from laboratory and wild mice. Mamm Genome 21:370–376

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgment

The authors thank the Shanghai Institute for Biological Science for performing the tests of parameters in blood chemistry and blood hematology for all the mice. This work was supported by the Key Project of Science & Technology Commission of Shanghai Municipality (Nos. 08140900902 and 09140900102) and the National Science Foundation of China (No. 31071090).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Junhua Xiao.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhou, Y., Liang, Y., Li, K. et al. The phenotypic distribution of quantitative traits in a wild mouse F1 population. Mamm Genome 23, 232–240 (2012). https://doi.org/10.1007/s00335-011-9377-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00335-011-9377-8

Keywords

Navigation