Testing the Mother's Curse Hypothesis in Human Mitochondrial Genome Evolution

In species where mitochondrial DNA (mtDNA) is maternally inherited such as vertebrates, mtDNA mutations harming males only are not subject to purifying selection and thus can spread in a population, especially when these mutations benefit females. Therefore, the mother's curse hypothesis (MCH) posits a greater mtDNA mutation load in males than in females. MCH is potentially important for human health, disease, and evolution, but a systematic test that considers the vast human mtDNA variation is lacking. Analyzing the genotypic and phenotypic data of approximately 0.5 million British participants in the UK Biobank, we estimate the reproductive fitness of mtDNA variants in each sex. Contradicting MCH, a positive intersexual correlation in the number of offspring exists across mitochondrial haplogroups. While a significant variation in the number of opposite-sex sexual partners-a proxy for reproductive fitness in premodern societies-is present among mitochondrial haplogroups, no significant intersexual correlation in this quantity is detected. The frequencies of a few mtDNA variants differ significantly between males and females, suggesting that these variants differentially affect the survival in the two sexes, but the number of such variants with lower male frequencies is not significantly different from that with lower female frequencies. Analysis of disease associations also finds no enrichment of male disease-associated mtDNA variants despite the discovery of multiple sex-biased disease associations. Together, these findings provide no genomic support to MCH in humans and suggest no difference in mtDNA mutation load between the two sexes that is detectable in the UK Biobank.

Authors

Institutions

Publication Details

Journal
Genome Biology and Evolution
Published
2025-10-29
DOI
https://doi.org/10.1093/gbe/evaf207
Primary Topic
Mitochondrial Function and Pathology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Testing the Mother's Curse Hypothesis in Human Mitochondrial Genome Evolution

Jianzhi Zhang, Ruiqi Yuan
Genome Biology and Evolution
Mitochondrial Function and Pathology
article

Testing the Mother's Curse Hypothesis in Human Mitochondrial Genome Evolution

Jianzhi Zhang, Ruiqi Yuan
article en

Abstract

In species where mitochondrial DNA (mtDNA) is maternally inherited such as vertebrates, mtDNA mutations harming males only are not subject to purifying selection and thus can spread in a population, especially when these mutations benefit females. Therefore, the mother's curse hypothesis (MCH) posits a greater mtDNA mutation load in males than in females. MCH is potentially important for human health, disease, and evolution, but a systematic test that considers the vast human mtDNA variation is lacking. Analyzing the genotypic and phenotypic data of approximately 0.5 million British participants in the UK Biobank, we estimate the reproductive fitness of mtDNA variants in each sex. Contradicting MCH, a positive intersexual correlation in the number of offspring exists across mitochondrial haplogroups. While a significant variation in the number of opposite-sex sexual partners-a proxy for reproductive fitness in premodern societies-is present among mitochondrial haplogroups, no significant intersexual correlation in this quantity is detected. The frequencies of a few mtDNA variants differ significantly between males and females, suggesting that these variants differentially affect the survival in the two sexes, but the number of such variants with lower male frequencies is not significantly different from that with lower female frequencies. Analysis of disease associations also finds no enrichment of male disease-associated mtDNA variants despite the discovery of multiple sex-biased disease associations. Together, these findings provide no genomic support to MCH in humans and suggest no difference in mtDNA mutation load between the two sexes that is detectable in the UK Biobank.

Genome Biology and EvolutionVol. 17(11)
University of Michigan (US)
National Institutes of Health
Openalex Percentile: Top 70%
Mitochondrial Function and Pathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.