ArticleMolecular biology and evolution2022
RNAseq Analysis of Brain Aging in Wild Specimens of Short-Lived Turquoise Killifish: Commonalities and Differences With Aging Under Laboratory Conditions.
Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 8 citations in OpenAlex.
- A multi-omic atlas in the African turquoise killifish reveals increased glucocorticoid signaling as a hallmark of brain aging.bioRxiv : the preprint server for biology · 2026Article
- Multi-tissue transcriptomic aging atlas reveals predictive aging biomarkers in the killifish.Nature aging · 2026Article
- Variation in Mortality and Ageing Rate in a Fast-Paced Species: Insights From 24 Years of Hazel Dormouse (Ecology and evolution · 2025Article
- Life History-Dependent Brain Transcriptomic Signatures in Nothobranchids: Insights into Aging, Neurogenesis, and Life History Evolution.Integrative organismal biology (Oxford, England) · 2025Article
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Authors and funding
7 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A vast body of studies is available that describe age-dependent gene expression in relation to aging in a number of different model species. These data were obtained from animals kept in conditions with reduced environmental challenges, abundant food, and deprivation of natural sensory stimulation. Here, we compared wild- and captive aging in the short-lived turquoise killifish (Nothobranchius furzeri). These fish inhabit temporary ponds in the African savannah. When the ponds are flooded, eggs hatch synchronously, enabling a precise timing of their individual and population age. We collected the brains of wild fish of different ages and quantified the global age-dependent regulation of transcripts using RNAseq. A major difference between captive and wild populations is that wild populations had unlimited access to food and hence grew to larger sizes and reached asymptotic size more rapidly, enabling the analysis of age-dependent gene expression without the confounding effect of adult brain growth. We found that the majority of differentially expressed genes show the same direction of regulation in wild and captive populations. However, a number of genes were regulated in opposite direction. Genes downregulated in the wild and upregulated in captivity were enriched for terms related to neuronal communication. Genes upregulated in the wild and downregulated in captive conditions were enriched in terms related to DNA replication. Finally, the rate of age-dependent gene regulation was higher in wild animals, suggesting a phenomenon of accelerated aging.
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