Pervasive within-Mitochondrion Single-Nucleotide Variant Heteroplasmy as Revealed by Single-Mitochondrion Sequencing

Jacqueline Morris(University of Pennsylvania), Young-Ji Na(University of Pennsylvania), Hua Zhu(University of Pennsylvania), Jaehee Lee(University of Pennsylvania), Hoa Giang(University of Pennsylvania), Alexandra V. Ulyanova(University of Pennsylvania), Gordon H. Baltuch(University of Pennsylvania), Steven Brem(University of Pennsylvania), H. Isaac Chen(University of Pennsylvania), David Kung(University of Pennsylvania), Timothy H. Lucas(University of Pennsylvania), Donald M. O’Rourke(University of Pennsylvania), John A. Wolf(University of Pennsylvania), M. Sean Grady(University of Pennsylvania), Jai‐Yoon Sul(University of Pennsylvania), Junhyong Kim(University of Pennsylvania), James Eberwine(University of Pennsylvania)
Cell Reports
December 1, 2017
Cited by 128Open Access
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Abstract

A number of mitochondrial diseases arise from single-nucleotide variant (SNV) accumulation in multiple mitochondria. Here, we present a method for identification of variants present at the single-mitochondrion level in individual mouse and human neuronal cells, allowing for extremely high-resolution study of mitochondrial mutation dynamics. We identified extensive heteroplasmy between individual mitochondrion, along with three high-confidence variants in mouse and one in human that were present in multiple mitochondria across cells. The pattern of variation revealed by single-mitochondrion data shows surprisingly pervasive levels of heteroplasmy in inbred mice. Distribution of SNV loci suggests inheritance of variants across generations, resulting in Poisson jackpot lines with large SNV load. Comparison of human and mouse variants suggests that the two species might employ distinct modes of somatic segregation. Single-mitochondrion resolution revealed mitochondria mutational dynamics that we hypothesize to affect risk probabilities for mutations reaching disease thresholds.


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