ReviewFrontiers in cell and developmental biology2021
Lifespan Extension in Long-Lived Vertebrates Rooted in Ecological Adaptation.
Review in Frontiers in cell and developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
16 citing papers in PubMed.
- Evolvable soma theory of ageing: observations from the natural world.GeroScience · 2026Article
- Review
- Adaptive Evolution of FOXO Family Regulating Lifespan Extension and Cancer Resistance in Long-Lived Species.Integrative zoology · 2026Article
- Age-dependent physiological responses and longevity in three Drosophila species with contrasting lifespans exposed to low temperature and constant darkness.Biogerontology · 2026Article
- Insights into aging mechanisms from comparative genomics in orange and silver roughies.Scientific reports · 2024Article
- Comparative genomics reveals convergent signals associated with the high metabolism and longevity in birds and bats.Proceedings. Biological sciences · 2024Article
- Relationship between Hypoxia and Hypercapnia Tolerance and Life Expectancy.International journal of molecular sciences · 2024Review
- Article
- Large-scale across species transcriptomic analysis identifies genetic selection signatures associated with longevity in mammals.The EMBO journal · 2023Article
- The shelterin protein expansion of telomere dynamics: Linking early life adversity, life history, and the hallmarks of aging.Neuroscience and biobehavioral reviews · 2023Review
- Chromosome-level Asian elephant genome assembly and comparative genomics of long-lived mammals reveal the common substitutions for cancer resistance.Aging cell · 2023Article
- The Evolution and Ecology of Oxidative and Antioxidant Status: A Comparative Approach in African Mole-Rats.Antioxidants (Basel, Switzerland) · 2023Article
- What do we mean by "aging"? Questions and perspectives revealed by studies in Drosophila.Mechanisms of ageing and development · 2023Article
- Correlated evolution of social organization and lifespan in mammals.Nature communications · 2023Article
- Editorial: Mechanisms and Pathways Contributing to the Diversity of Aging Across the Tree of Life.Frontiers in cell and developmental biology · 2022Article
- The Danaid Theory of Aging.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Contemporary studies on aging and longevity have largely overlooked the role that adaptation plays in lifespan variation across species. Emerging evidence indicates that the genetic signals of extended lifespan may be maintained by natural selection, suggesting that longevity could be a product of organismal adaptation. The mechanisms of adaptation in long-lived animals are believed to account for the modification of physiological function. Here, we first review recent progress in comparative biology of long-lived animals, together with the emergence of adaptive genetic factors that control longevity and disease resistance. We then propose that hitchhiking of adaptive genetic changes is the basis for lifespan changes and suggest ways to test this evolutionary model. As individual adaptive or adaptation-linked mutations/substitutions generate specific forms of longevity effects, the cumulative beneficial effect is largely nonrandom and is indirectly favored by natural selection. We consider this concept in light of other proposed theories of aging and integrate these disparate ideas into an adaptive evolutionary model, highlighting strategies in decoding genetic factors of lifespan control.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.