Yuping Dai, Miguel V Gomez-Raya-Vilanova, Jérôme Teulière, Mouhammad Toucourou, Eduardo Corel, Louis-Patrick Haraoui, Philippe Lopez, François-Joseph Lapointe, Claudio Franceschi, Annette Baudisch, Debashish Bhattacharya, Virginija Cvirkaite-Krupovic, Mart Krupovic, Eric Bapteste
{"title":"细胞周期中的基因表达和共表达异质性模式以及生物人口学分析促进了古细菌的衰老研究。","authors":"Yuping Dai, Miguel V Gomez-Raya-Vilanova, Jérôme Teulière, Mouhammad Toucourou, Eduardo Corel, Louis-Patrick Haraoui, Philippe Lopez, François-Joseph Lapointe, Claudio Franceschi, Annette Baudisch, Debashish Bhattacharya, Virginija Cvirkaite-Krupovic, Mart Krupovic, Eric Bapteste","doi":"10.1007/s11357-025-01769-5","DOIUrl":null,"url":null,"abstract":"<p><p>One of the prokaryotic partners at the origin of eukaryotes was an archaeon, but do archaea age, and if so, how? Uncovering aging in Archaea might provide more general clues about cellular senescence and rejuvenation and their origins. To fill this knowledge gap, we focused on Saccharolobus islandicus, a model archaeon for which the cell cycle can be synchronized and controlled. We generated longitudinal transcriptomes of synchronized S. islandicus populations that capture typical expression and co-expression profiles associated with chronological aging. These experiments also allowed us to infer average cellular death rates during the cell cycle. Our results are compatible with general patterns of biological aging observed in single cells. However, at the population level, we observe a peak of mortality shortly after cell division in S. islandicus, which we interpret as \"negative\" demographic aging or ontogenescence, i.e., pre-reproductive mortality decline. To reconcile these observations, we propose a model of S. islandicus aging and rejuvenation. Our research constitutes a first step into the study of aging in archaea on the basis of gene expression, gene co-expression patterns during the cell cycle and biodemography analyses, and proposes a hypothetical new model to explore how cellular senescence and rejuvenation in eukaryotes may have prokaryotic roots. Alternative interpretations of our transcriptomic results however are possible, encouraging future experimental validation of aging in Archaea.</p>","PeriodicalId":12730,"journal":{"name":"GeroScience","volume":" ","pages":""},"PeriodicalIF":5.4000,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.\",\"authors\":\"Yuping Dai, Miguel V Gomez-Raya-Vilanova, Jérôme Teulière, Mouhammad Toucourou, Eduardo Corel, Louis-Patrick Haraoui, Philippe Lopez, François-Joseph Lapointe, Claudio Franceschi, Annette Baudisch, Debashish Bhattacharya, Virginija Cvirkaite-Krupovic, Mart Krupovic, Eric Bapteste\",\"doi\":\"10.1007/s11357-025-01769-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>One of the prokaryotic partners at the origin of eukaryotes was an archaeon, but do archaea age, and if so, how? Uncovering aging in Archaea might provide more general clues about cellular senescence and rejuvenation and their origins. To fill this knowledge gap, we focused on Saccharolobus islandicus, a model archaeon for which the cell cycle can be synchronized and controlled. We generated longitudinal transcriptomes of synchronized S. islandicus populations that capture typical expression and co-expression profiles associated with chronological aging. These experiments also allowed us to infer average cellular death rates during the cell cycle. Our results are compatible with general patterns of biological aging observed in single cells. However, at the population level, we observe a peak of mortality shortly after cell division in S. islandicus, which we interpret as \\\"negative\\\" demographic aging or ontogenescence, i.e., pre-reproductive mortality decline. To reconcile these observations, we propose a model of S. islandicus aging and rejuvenation. 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Gene expression and co-expression heterogeneity patterns and biodemography analyses during the cell cycle encourage aging studies in archaea.
One of the prokaryotic partners at the origin of eukaryotes was an archaeon, but do archaea age, and if so, how? Uncovering aging in Archaea might provide more general clues about cellular senescence and rejuvenation and their origins. To fill this knowledge gap, we focused on Saccharolobus islandicus, a model archaeon for which the cell cycle can be synchronized and controlled. We generated longitudinal transcriptomes of synchronized S. islandicus populations that capture typical expression and co-expression profiles associated with chronological aging. These experiments also allowed us to infer average cellular death rates during the cell cycle. Our results are compatible with general patterns of biological aging observed in single cells. However, at the population level, we observe a peak of mortality shortly after cell division in S. islandicus, which we interpret as "negative" demographic aging or ontogenescence, i.e., pre-reproductive mortality decline. To reconcile these observations, we propose a model of S. islandicus aging and rejuvenation. Our research constitutes a first step into the study of aging in archaea on the basis of gene expression, gene co-expression patterns during the cell cycle and biodemography analyses, and proposes a hypothetical new model to explore how cellular senescence and rejuvenation in eukaryotes may have prokaryotic roots. Alternative interpretations of our transcriptomic results however are possible, encouraging future experimental validation of aging in Archaea.
GeroScienceMedicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍:
GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.