Background: Aging and death are inevitable for most species and are of intense interest for human beings. Most mammals, including humans, show obvious aging phenotypes, for example, loss of tissue plasticity and sarcopenia. In this regard, fish provide attractive models because of their unique aging characteristics. First, the lifespan of fish is highly varied and some long-lived fish can live for over 200 years. Second, some fish show anti-aging features and indeterminate growth throughout their life.Because these characteristics are not found in mammalian model organisms, exploring mechanisms of senescence in fish is expected to provide new insights into vertebrate aging. Therefore, we conducted transcriptome analysis for brain, gill, heart, liver and muscle from 2-month-, 7-month-, 16month-and 39-month-old zebrafish. In addition, we downloaded RNA-seq data for sequential agerelated gene expression in brain, heart, liver and muscle of rat (1). These RNA-seq data from two species were compared, and common and species-specific features of senescence were analyzed.Results: Screening of differentially expressed genes (DEGs) in all zebrafish tissues examined revealed up-regulation of circadian genes and down-regulation of hmgb3a. Comparative analysis of DEG profiles associated with aging between zebrafish and rat showed both conserved and clearly different aging phenomena. Furthermore, up-regulation of circadian genes with aging and down-regulation of collagen genes were observed in both species. On the other hand, in zebrafish, up-regulation of autophagy related genes in muscle and atf3 in various tissues suggested fish-specific anti-aging characteristics. Consistent with our knowledge of mammalian aging, a tissue deterioration-related DEG profile was observed in rat. We also detected aging-associated down-regulation of muscle development and ATP metabolism-related genes in zebrafish gill. Correspondingly, hypoxia-related genes were systemically up-regulated in aged zebrafish, suggesting age-related hypoxia as a senescence modulator in fish.
Conclusions:Our results indicate both common and different aging profiles between fish and mammals. Gene expression profiles specific to fish will provide new insight for future translational research.