ArticleScience (New York, N.Y.)2026
Lifelong behavioral screen reveals an architecture of vertebrate aging.
Article in Science (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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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Who cites it
5 citing papers in PubMed.
- Zebrafish relatives as models for functional comparative genetics and genomics.Nature reviews. Genetics · 2026Review
- Language-like properties in the vocal behavior of animals.Current opinion in neurobiology · 2026Review
- But What Behavior?ArXiv · 2026Article
- Engulfment by brain macrophages in a short-lived vertebrate.bioRxiv : the preprint server for biology · 2026Article
- Lifelong behavioral screen reveals an architecture of vertebrate aging.Science (New York, N.Y.) · 2026Article
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6 authors.
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Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.