The problem
Mitochondria, structures involved in cellular energy supply, carry their own DNA. A mother can transmit different mixtures of that DNA’s variants through different eggs. How do cells in the human egg-producing lineage generate that variation, and at which stages? The mixture is called heteroplasmy. Chance copying, loss and allocation of DNA can change it—genetic drift—while selection can produce directional changes. A mouse-data model supports random partitioning at cell division together with DNA turnover. Measurements of human embryonic cells in the reproductive lineage also find reduced DNA content and shifting variant proportions. These constraints do not identify one complete physical sampling schedule in the human maternal germline.[1] [2] [3]
Scope
Physical nature, size and developmental timing of segregating mtDNA units in the human maternal germline bottleneck.
What remains open
Why it matters
Some mitochondrial DNA variants impair the cellular machinery that helps supply energy. The inherited proportion can therefore matter as well as whether a variant is present. Explaining why that proportion differs between children connects maternal inheritance to differences in disease expression without predicting an individual outcome.[1] [2] [3]
The bottleneck connects cellular population dynamics with variable expression of inherited mitochondrial disease. Similar changes in variant proportions could reflect different physical processes—copy loss, turnover, packaging or selection—and those processes need not respond alike to a perturbation. A statistical fit therefore needs a cellular explanation before it can justify a mechanistic prediction; mouse results alone do not supply that explanation for humans.[1] [2] [3]
Definitions
3 terms
Heteroplasmy
A mixture of mitochondrial DNA variants within a cell or organism. The proportions can change through random processes and selection; a mixture alone does not imply disease.[1] [2] [3]
Effective bottleneck size
A statistical sampling size inferred from changes in variant proportions. It summarizes variability under a model and need not equal a directly counted group of DNA molecules.[2]
Sources
- Common Principles Underlie Mitochondrial DNA Heteroplasmy Dynamics in the Germline and Soma
Notes on Common Principles Underlie Mitochondrial DNA Heteroplasmy Dynamics in the Germline and Soma
Current review Abstract distinguishes stochastic variability from directional selection in mitochondrial DNA mixtures. Fresh access is header/Abstract; detailed physical human sampling units are not certified from the unloaded body.
- Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism
Notes on Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism
Mouse-data modeling supports random partitioning and turnover rather than a uniquely inferred physical count. Original June 2 first manuscript, June 4 update and July 1 version of record are distinct; no clinical prediction is imported.
- Segregation of mitochondrial DNA heteroplasmy through a developmental genetic bottleneck in human embryos
Notes on Segregation of mitochondrial DNA heteroplasmy through a developmental genetic bottleneck in human embryos
Updated publisher Abstract supplies bounded human embryonic germ-cell observations, not the complete maternal sampling schedule. First publication January 15, 2018 is distinct from later affiliation/figure-label and data-availability corrections.