Menopause has not evolved as a general trait in mammals: A response to "Do mammals have menopause?"
Chapman, S. N.; Ellis, S.; Lahdenpera, M.; Croft, D. P.; Lummaa, V.
10.1101/2024.02.29.582687 bioRxivShow abstract
Reproductive senescence is widespread across mammals, but only a small number of species have physiological reproductive cessation and an extended post-reproductive lifespan. A recent commentary in Cell by Winkler & Goncalves (2023) suggests that menopause is actually a widespread trait of mammals, which would change our understanding of senescence and have implications for the study of menopause in humans. Here, we identify three main issues with the methodology of this commentary: the use of captive populations, the use of maximal lifespan, and misinterpretations of the data sources. We show that this methodology does not support the conclusions at the species-level, and conclude that, in line with the predictions of classic life-history theory, menopause is indeed a rare trait.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A synthesis of senescence predictions for indeterminate growth, and support from multiple tests in wild lake trout 90%
- Testing frameworks for early life effects: the developmental constraints and adaptive responsehypotheses do not explain key fertility outcomes in wild female baboons 89%
- Sex-specific effects of early-life adversity on adult fitness in a wild mammal 89%
Similar papers in this journal
- A globally threatened shark, Carcharias taurus, shows no population decline in South Africa 89%
- Evaluation of Cognitive Function in the Dog Aging Project: Associations with Baseline Canine Characteristics 89%
- Stress reactivity elicits a tissue-specific reduction in telomere length in ageing zebrafish (Danio rerio) 88%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.