Back

Evolution of Menopause and the Mamas Boy Hypothesis

Yosef, T.; Samuni, L.; Ram, Y.

2026-06-20 evolutionary biology
10.64898/2026.06.17.732386 bioRxiv
Show abstract

Post-reproductive lifespan is an evolutionary puzzle. In most mammals female fertility tracks survival, yet humans and a few toothed whales show survival after reproduction ends. Explaining when and why post-reproductive lifespan evolves is central to understanding the evolution of ageing, social structure, and intergenerational helping across species. Kinship-dynamics theory predicts that when males are philopatric, a females local relatedness--especially to male descendants--increases with age, potentially favoring late-life helping over continued reproduction. We develop an age-sex-structured kin-selection model to test whether a rare menopause-inducing modifier allele can invade an initially non-menopausal population through its direct effects on survival and fecundity and its indirect effects on relatives. We consider two evolutionary pathways: stop early, where reproduction ceases earlier with little change in lifespan, and live long, where lifespan extends beyond reproduction under disposable-soma trade-offs. Parameterized with demographic, dispersal, and helping-effect estimates from eight mammalian taxa, the model predicts empirically plausible ages of reproductive cessation and post-reproductive representation in humans and killer whales, but no invasion across plausible cessation ages in non-menopausal taxa. Global sensitivity analyses identify male dispersal and the effect of post-reproductive help on male survival as determinants of whether menopause evolves, motivating the "mamas boy hypothesis": menopause is most strongly favoured by selection when late-life care increases the survival and lifetime fitness of philopatric sons and grandsons.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 3%
11.4%
2
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 0.4%
11.4%
3
eLife
5828 papers in training set
Top 14%
7.6%
4
The American Naturalist
125 papers in training set
Top 0.3%
6.4%
5
Nature Communications
5641 papers in training set
Top 25%
6.4%
6
Science Advances
1243 papers in training set
Top 5%
4.9%
7
Philosophical Transactions of the Royal Society B: Biological Sciences
72 papers in training set
Top 0.1%
4.6%
50% of probability mass above
8
Evolution
225 papers in training set
Top 0.9%
3.9%
9
BMC Evolutionary Biology
18 papers in training set
Top 0.1%
3.1%
10
PLOS Computational Biology
1863 papers in training set
Top 11%
3.0%
11
Journal of Evolutionary Biology
110 papers in training set
Top 0.6%
3.0%
12
Evolution Letters
85 papers in training set
Top 0.8%
2.3%
13
Ecology Letters
135 papers in training set
Top 0.9%
2.3%
14
GENETICS
483 papers in training set
Top 2%
2.3%
15
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.3%
2.0%
16
PLOS Genetics
862 papers in training set
Top 7%
1.7%
17
Heredity
64 papers in training set
Top 0.7%
1.4%
18
PLOS Biology
486 papers in training set
Top 7%
1.3%
19
Genome Biology and Evolution
338 papers in training set
Top 3%
1.1%
20
Communications Biology
993 papers in training set
Top 24%
1.1%
21
npj Aging
22 papers in training set
Top 0.4%
1.1%
22
Scientific Reports
3612 papers in training set
Top 68%
1.1%
23
Nature Ecology & Evolution
18 papers in training set
Top 0.3%
1.1%
24
Current Biology
665 papers in training set
Top 9%
1.0%
25
Journal of Heredity
42 papers in training set
Top 0.8%
0.9%
26
PLOS ONE
5266 papers in training set
Top 63%
0.8%
27
Journal of Theoretical Biology
162 papers in training set
Top 2%
0.8%
28
Ecology
85 papers in training set
Top 2%
0.8%
29
Journal of Animal Ecology
75 papers in training set
Top 2%
0.8%
30
Functional Ecology
61 papers in training set
Top 1%
0.8%