Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Tetrad analysis in the mouse

Nature Genetics volume 46, pages 1045–1046 (2014)Cite this article

Subjects

Meiotic tetrad analysis is a powerful tool for analyzing all four products of a single meiosis. A new method for tetrad analysis in mammals provides valuable insights into the mechanisms that mediate the exchange of DNA sequences between homologs during meiosis and their influence on the evolution of recombination hotspots.

Distinct meiotic repair pathways

This is a preview of subscription content, access via your institution

Relevant articles

Open Access articles citing this article.

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Learn more

Prices may be subject to local taxes which are calculated during checkout

Figure 1: Tetrad analysis allows the recovery of all four products of a single meiosis.

References

  1. Cole, F. et al. Nat. Genet. 46, 1072–1080 (2014).

    Article  CAS  Google Scholar 

  2. Jeffreys, A.J. & Neumann, R. Nat. Genet. 31, 267–271 (2002).

    Article  CAS  Google Scholar 

  3. Jeffreys, A.J. & May, C.A. Nat. Genet. 36, 151–156 (2004).

    Article  CAS  Google Scholar 

  4. Baudat, F. & de Massy, B. PLoS Genet. 3, e100 (2007).

    Article  Google Scholar 

  5. Cole, F., Keeney, S. & Jasin, M. Mol. Cell 39, 700–710 (2010).

    Article  CAS  Google Scholar 

  6. Stahl, F.W. Genetics 138, 241–246 (1994).

    CAS  PubMed  PubMed Central  Google Scholar 

  7. Allers, T. & Lichten, M. Cell 106, 47–57 (2001).

    Article  CAS  Google Scholar 

  8. Hey, J. PLoS Biol. 2, e190 (2004).

    Article  Google Scholar 

  9. Baudat, F. et al. Science 327, 836–840 (2010).

    Article  CAS  Google Scholar 

  10. Boulton, A., Myers, R.S. & Redfield, R.J. Proc. Natl. Acad. Sci. USA 94, 8058–8063 (1997).

    Article  CAS  Google Scholar 

  11. Mancera, E., Bourgon, R., Brozzi, A., Huber, W. & Steinmetz, L.M. Nature 454, 479–485 (2008).

    Article  CAS  Google Scholar 

  12. Martini, E. et al. PLoS Genet. 7, e1002305 (2011).

    Article  CAS  Google Scholar 

  13. Chen, J.-M., Cooper, D.N., Férec, C., Kehrer-Sawatzki, H. & Patrinos, G.P. Semin. Cancer Biol. 20, 222–233 (2010).

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. and the Department of Molecular and Integrative Physiology, Danny E. Miller and R. Scott Hawley are at the Stowers Institute for Medical Research, Kansas City, Missouri, USA, University of Kansas Medical Center, Kansas City, Kansas, USA.,

    Danny E Miller & R Scott Hawley

Authors
  1. Danny E Miller
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R Scott Hawley
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to R Scott Hawley.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Miller, D., Hawley, R. Tetrad analysis in the mouse. Nat Genet 46, 1045–1046 (2014). https://doi.org/10.1038/ng.3104

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ng.3104

This article is cited by

Search

Advanced search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing