Medizinische Universität Graz - Research portal

Logo MUG Resarch Portal

Selected Publication:

SHR Neuro Cancer Cardio Lipid Metab Microb

Burgstaller, JP; Johnston, IG; Jones, NS; Albrechtová, J; Kolbe, T; Vogl, C; Futschik, A; Mayrhofer, C; Klein, D; Sabitzer, S; Blattner, M; Gülly, C; Poulton, J; Rülicke, T; Piálek, J; Steinborn, R; Brem, G.
MtDNA segregation in heteroplasmic tissues is common in vivo and modulated by haplotype differences and developmental stage.
Cell Rep. 2014; 7(6):2031-2041 Doi: 10.1016/j.celrep.2014.05.020 [OPEN ACCESS]
Web of Science PubMed PUBMED Central FullText FullText_MUG

 

Co-authors Med Uni Graz
Gülly Christian
Altmetrics:

Dimensions Citations:

Plum Analytics:

Scite (citation analytics):

Abstract:
The dynamics by which mitochondrial DNA (mtDNA) evolves within organisms are still poorly understood, despite the fact that inheritance and proliferation of mutated mtDNA cause fatal and incurable diseases. When two mtDNA haplotypes are present in a cell, it is usually assumed that segregation (the proliferation of one haplotype over another) is negligible. We challenge this assumption by showing that segregation depends on the genetic distance between haplotypes. We provide evidence by creating four mouse models containing mtDNA haplotype pairs of varying diversity. We find tissue-specific segregation in all models over a wide range of tissues. Key findings are segregation in postmitotic tissues (important for disease models) and segregation covering all developmental stages from prenatal to old age. We identify four dynamic regimes of mtDNA segregation. Our findings suggest potential complications for therapies in human populations: we propose "haplotype matching" as an approach to avoid these issues. Copyright © 2014 The Authors. Published by Elsevier Inc. All rights reserved.
Find related publications in this database (using NLM MeSH Indexing)
Amino Acid Sequence -
Animals -
DNA, Mitochondrial - genetics
Disease Models, Animal -
Haplotypes -
Humans -
Mice -
Models, Genetic -
Molecular Sequence Data -

© Med Uni GrazImprint