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Gray whale transcriptome reveals longevity adaptations associated with DNA repair and ubiquitination.

Authors :
Toren, Dmitri
Kulaga, Anton
Jethva, Mineshbhai
Rubin, Eitan
Snezhkina, Anastasia V.
Kudryavtseva, Anna V.
Nowicki, Dmitry
Tacutu, Robi
Moskalev, Alexey A.
Fraifeld, Vadim E.
Source :
Aging Cell. Jul2020, Vol. 19 Issue 7, p1-11. 11p.
Publication Year :
2020

Abstract

One important question in aging research is how differences in genomics and transcriptomics determine the maximum lifespan in various species. Despite recent progress, much is still unclear on the topic, partly due to the lack of samples in nonmodel organisms and due to challenges in direct comparisons of transcriptomes from different species. The novel ranking‐based method that we employ here is used to analyze gene expression in the gray whale and compare its de novo assembled transcriptome with that of other long‐ and short‐lived mammals. Gray whales are among the top 1% longest‐lived mammals. Despite the extreme environment, or maybe due to a remarkable adaptation to its habitat (intermittent hypoxia, Arctic water, and high pressure), gray whales reach at least the age of 77 years. In this work, we show that long‐lived mammals share common gene expression patterns between themselves, including high expression of DNA maintenance and repair, ubiquitination, apoptosis, and immune responses. Additionally, the level of expression for gray whale orthologs of pro‐ and anti‐longevity genes found in model organisms is in support of their alleged role and direction in lifespan determination. Remarkably, among highly expressed pro‐longevity genes many are stress‐related, reflecting an adaptation to extreme environmental conditions. The conducted analysis suggests that the gray whale potentially possesses high resistance to cancer and stress, at least in part ensuring its longevity. This new transcriptome assembly also provides important resources to support the efforts of maintaining the endangered population of gray whales. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14749718
Volume :
19
Issue :
7
Database :
Academic Search Index
Journal :
Aging Cell
Publication Type :
Academic Journal
Accession number :
144669143
Full Text :
https://doi.org/10.1111/acel.13158