MtDNA sequence features associated with 'selfish genomes' predict tissue-specific segregation and reversion

Nucleic Acids Res. 2020 Sep 4;48(15):8290-8301. doi: 10.1093/nar/gkaa622.

Abstract

Mitochondrial DNA (mtDNA) encodes cellular machinery vital for cell and organism survival. Mutations, genetic manipulation, and gene therapies may produce cells where different types of mtDNA coexist in admixed populations. In these admixtures, one mtDNA type is often observed to proliferate over another, with different types dominating in different tissues. This 'segregation bias' is a long-standing biological mystery that may pose challenges to modern mtDNA disease therapies, leading to substantial recent attention in biological and medical circles. Here, we show how an mtDNA sequence's balance between replication and transcription, corresponding to molecular 'selfishness', in conjunction with cellular selection, can potentially modulate segregation bias. We combine a new replication-transcription-selection (RTS) model with a meta-analysis of existing data to show that this simple theory predicts complex tissue-specific patterns of segregation in mouse experiments, and reversion in human stem cells. We propose the stability of G-quadruplexes in the mtDNA control region, influencing the balance between transcription and replication primer formation, as a potential molecular mechanism governing this balance. Linking mtDNA sequence features, through this molecular mechanism, to cellular population dynamics, we use sequence data to obtain and verify the sequence-specific predictions from this hypothesis on segregation behaviour in mouse and human mtDNA.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cattle
  • DNA Replication
  • DNA, Mitochondrial / physiology*
  • Genetic Heterogeneity
  • Genome
  • Humans
  • Mice
  • Mice, Inbred C57BL
  • Models, Genetic
  • Repetitive Sequences, Nucleic Acid / physiology
  • Stem Cells
  • Transcription, Genetic

Substances

  • DNA, Mitochondrial