Direct linkage of mitochondrial genome variation to risk factors for type 2 diabetes in conplastic strains

  1. Michal Pravenec1,
  2. Masaya Hyakukoku2,3,
  3. Josef Houstek1,
  4. Vaclav Zidek1,
  5. Vladimir Landa1,
  6. Petr Mlejnek1,
  7. Ivan Miksik1,
  8. Kristyna Dudová-Mothejzikova1,
  9. Petr Pecina1,
  10. Marek Vrbacký1,
  11. Zdenek Drahota1,
  12. Alena Vojtiskova1,
  13. Tomas Mracek1,
  14. Ludmila Kazdova4,
  15. Olena Oliyarnyk4,
  16. Jiaming Wang3,
  17. Christopher Ho3,
  18. Nathan Qi5,
  19. Ken Sugimoto6, and
  20. Theodore Kurtz3,7
  1. 1 Institute of Physiology, Academy of Sciences of the Czech Republic, Prague 142 20, Czech Republic;
  2. 2 Second Department of Medicine, Sapporo Medical University, Sapporo 060-8543, Japan;
  3. 3 Department of Laboratory Medicine, University of California, San Francisco, California 94107, USA;
  4. 4 Institute for Clinical and Experimental Medicine, Prague 140 21, Czech Republic;
  5. 5 Department of Medicine, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA;
  6. 6 Department of Geriatric Medicine, Osaka University Graduate School of Medicine, Osaka 565-0871, Japan

Abstract

Recently, the relationship of mitochondrial DNA (mtDNA) variants to metabolic risk factors for diabetes and other common diseases has begun to attract increasing attention. However, progress in this area has been limited because (1) the phenotypic effects of variation in the mitochondrial genome are difficult to isolate owing to confounding variation in the nuclear genome, imprinting phenomena, and environmental factors; and (2) few animal models have been available for directly investigating the effects of mtDNA variants on complex metabolic phenotypes in vivo. Substitution of different mitochondrial genomes on the same nuclear genetic background in conplastic strains provides a way to unambiguously isolate effects of the mitochondrial genome on complex traits. Here we show that conplastic strains of rats with identical nuclear genomes but divergent mitochondrial genomes that encode amino acid differences in proteins of oxidative phosphorylation exhibit differences in major metabolic risk factors for type 2 diabetes. These results (1) provide the first direct evidence linking naturally occurring variation in the mitochondrial genome, independent of variation in the nuclear genome and other confounding factors, to inherited variation in known risk factors for type 2 diabetes; and (2) establish that spontaneous variation in the mitochondrial genome per se can promote systemic metabolic disturbances relevant to the pathogenesis of common diseases.

Footnotes

  • 7 Corresponding author.

    7 E-mail KurtzT{at}Labmed2.ucsf.edu; fax (801) 912-3103.

  • [Supplemental material is available online at www.genome.org.]

  • Article published online before print. Article and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.6548207

    • Received March 29, 2007.
    • Accepted June 27, 2007.
| Table of Contents

Preprint Server