Lifelong behavioral screen reveals an architecture of vertebrate aging

• 成果类型: Article
• 署名作者: Bedbrook, Claire N.; Nath, Ravi D.; Zhang, Libby; Linderman, Scott W.; Brunet, Anne; Deisseroth, Karl
• 署名单位: Stanford University; Stanford University; Stanford Medicine; Stanford University; Stanford University; Stanford University; Stanford University; Stanford University; Stanford Medicine; Stanford University; Stanford Medicine; Stanford University; Howard Hughes Medical Institute
• 刊物名称: SCIENCE
• ISSN/ISSBN: 0036-8075; 1095-9203
• DOI: 10.1126/science.aea9795
• 发表日期: 2026-03-12
• 页码: eaea9795
• 关键词: AFRICAN TURQUOISE KILLIFISH; GAIT SPEED PREDICTS; embryonic-development; NOTHOBRANCHIUS; zebrafish; span; mortality; HEALTH; genome; MODEL

摘要

Mapping behavior of individual vertebrate animals across lifespan could provide an unprecedented view into the lifelong process of aging. We created a platform for high-resolution continuous behavioral tracking of the African killifish across natural lifespan from adolescence to death. We found that animals follow distinct individual aging trajectories. The behaviors of long-lived animals differed markedly from those of short-lived animals, even relatively early in life, and were linked to organ-specific transcriptomic shifts. Machine-learning models accurately inferred age and even forecasted an individual's future lifespan, given only behavior at a young age. Finally, we found that animals progressed through adulthood in a sequence of stable and stereotyped behavioral stages with abrupt transitions, revealing precise structure for an architecture of aging.