ArticlePloS one2020
Lifespan estimation in marine turtles using genomic promoter CpG density.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- A comprehensive embryonic staging series of the turtle Trachemys scripta.Developmental dynamics : an official publication of the American Association of Anatomists · 2026Article
- Genomic insights into marine environment adaptation and conservation of the threatened olive ridley turtle (iScience · 2025Article
- Biology, Nesting Behavior, Genetic Diversity, and Conservation of Leatherback Sea Turtles: Insights From Thailand and Global Perspectives.Ecology and evolution · 2025Review
- A genomic predictor for age at sexual maturity for mammalian species.Evolutionary applications · 2024Article
- Sex-specific aging in animals: Perspective and future directions.Aging cell · 2022Review
- Age-specific growth and maturity estimates for the flatback sea turtle (Natator depressus) by skeletochronology.PloS one · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Maximum lifespan for most animal species is difficult to define. This is challenging for wildlife management as it is critical for estimating important aspects of population biology such as mortality rate, population viability, and period of reproductive potential. Recently, it has been shown cytosine-phosphate-guanine (CpG) density is predictive of maximum lifespan in vertebrates. This has made it possible to predict lifespan in long-lived species, which are generally the most intractable. In this study, we use gene promoter CpG density to predict the lifespan of five marine turtle species. Marine turtles are a particularly difficult group for lifespan estimation because of their migratory behaviour, longevity and high juvenile mortality rates, which all restrict individual tracking over their lifespan. Sanger sequencing was used to determine the CpG density in selected promoters. We predicted the lifespans for marine turtle species ranged from 50.4 years (flatback turtle, Natator depressus) to 90.4 years (leatherback turtle, Dermochelys coriacea). These lifespan predictions have broad applications in marine turtle research such as better understanding life cycles and determining population viability.
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Registered trials
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