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Revelations About Aging and Disease from Unconventional Vertebrate Model Organisms

Yang Zhao, Andrei Seluanov, Vera Gorbunova

Annual Review of Genetics · 2021 · ▲ 32 citations

Abstract

Aging is a major risk factor for multiple diseases. Understanding the underlying mechanisms of aging would help to delay and prevent age-associated diseases. Short-lived model organisms have been extensively used to study the mechanisms of aging. However, these short-lived species may be missing the longevity mechanisms that are needed to extend the lifespan of an already long-lived species such as humans. Unconventional long-lived animal species are an excellent resource to uncover novel mechanisms of longevity and disease resistance. Here, we review mechanisms that evolved in nonmodel vertebrate species to counteract age-associated diseases. Some antiaging mechanisms are conserved across species; however, various nonmodel species also evolved unique mechanisms to delay aging and prevent disease. This variety of antiaging mechanisms has evolved due to the remarkably diverse habitats and behaviors of these species. We propose that exploring a wider range of unconventional vertebrates will provide important resources to study antiaging mechanisms that are potentially applicable to humans.

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Provenance

Source
OpenAlex
DOI
10.1146/annurev-genet-071719-021009
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Fetched
2026-07-15 MST

Cite this

APA
Zhao, Y., Seluanov, A., &amp; Gorbunova, V. (2021). Revelations About Aging and Disease from Unconventional Vertebrate Model Organisms. <em>Annual Review of Genetics</em>. https://doi.org/10.1146/annurev-genet-071719-021009
Vancouver
Zhao Y, Seluanov A, Gorbunova V. Revelations About Aging and Disease from Unconventional Vertebrate Model Organisms. Annual Review of Genetics. 2021. doi:10.1146/annurev-genet-071719-021009.
BibTeX
@article{yang2021Revela, title = {Revelations About Aging and Disease from Unconventional Vertebrate Model Organisms}, author = {Yang Zhao and Andrei Seluanov and Vera Gorbunova}, journal = {Annual Review of Genetics}, year = {2021}, doi = {10.1146/annurev-genet-071719-021009}, }

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