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The Danaid Theory of Aging
Maarten J Wensink1, Alan A Cohen2
1Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Odense, Denmark.
Frontiers in Cell and Developmental Biology
|January 20, 2022
Summary
Aging evolves not just from weak selection, but also from inherent physiological limitations. The new Danaid theory explains aging diversity by focusing on developmental constraints and variations across species.
Area of Science:
- Evolutionary biology
- Gerontology
- Developmental biology
Background:
- Classical evolutionary theories posit aging arises from insufficient selective pressure.
- These theories explain aging through genes or resource allocation but not aging pattern diversity.
- An alternative explanation is needed to account for the origin and diversity of aging.
Purpose of the Study:
- To propose a new evolutionary-mechanistic theory of aging, the Danaid theory.
- To explain the origin and diversity of aging patterns beyond classical evolutionary theories.
- To integrate advances in developmental biology, genetics, biochemistry, and complex systems theory.
Main Methods:
- Reviewing and synthesizing classical evolutionary theories of aging.
- Drawing on recent advances in developmental biology, genetics, biochemistry, and complex systems theory.
- Proposing the Danaid theory, focusing on inherent physiological restrictions and developmental constraints.
Main Results:
- Aging may stem from inherent restrictions on maintenance and repair in complex organisms, established during development.
- These developmental constraints vary systematically across taxa.
- Such variations in constraints are key to understanding diverse aging and lifespan patterns across the tree of life.
Conclusions:
- The Danaid theory offers a novel perspective on aging, emphasizing inherent biological limitations.
- Understanding the interplay of constraints, trade-offs, chance events, and selection is crucial for explaining aging diversity.
- Future research should focus on mapping these constraints across diverse taxa to understand aging variations.
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