Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

View ORCID ProfileD Toren, A Kulaga, M Jethva, View ORCID ProfileE Rubin, AV Snezhkina, AV Kudryavtseva, View ORCID ProfileD Nowicki, View ORCID ProfileR Tacutu, View ORCID ProfileAA Moskalev, View ORCID ProfileVE Fraifeld
doi: https://doi.org/10.1101/754218
D Toren
1The Sharaga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, POB 653, Beer Sheva, 8410501, Israel
2Computational Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, 060031, Romania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D Toren
A Kulaga
2Computational Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, 060031, Romania
3Humenhance OÜ, Tallinn, Estonia
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M Jethva
1The Sharaga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, POB 653, Beer Sheva, 8410501, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E Rubin
1The Sharaga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, POB 653, Beer Sheva, 8410501, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for E Rubin
AV Snezhkina
4Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
AV Kudryavtseva
4Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
D Nowicki
5Institute of MMS of NASU, Center for Cybernetics, Kiev, Ukraine
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for D Nowicki
R Tacutu
2Computational Biology of Aging Group, Institute of Biochemistry, Romanian Academy, Bucharest, 060031, Romania
6Chronos Biosystems SRL, Bucharest, 060117, Romania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for R Tacutu
AA Moskalev
4Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, 119991, Russian Federation
7Institute of Biology of Komi Science Center of Ural Branch of RAS, Syktyvkar, 167982, Russian Federation
8Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russian Federation
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for AA Moskalev
  • For correspondence: vadim.fraifeld@gmail.com
VE Fraifeld
1The Sharaga Segal Department of Microbiology, Immunology and Genetics, Center for Multidisciplinary Research on Aging, Ben-Gurion University of the Negev, POB 653, Beer Sheva, 8410501, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for VE Fraifeld
  • For correspondence: vadim.fraifeld@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

One important question in aging research is how differences in genomics and transcriptomics determine maximum lifespan in various species. Despite recent progress, much is still unclear on the topic, partly due to the lack of samples in non-model 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, autophagy, 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.

Footnotes

  • https://github.com/antonkulaga/gray-whale-expressions

  • https://www.ncbi.nlm.nih.gov/Traces/wgs/?val=NTJE01.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 01, 2019.
Download PDF

Supplementary Material

Data/Code
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Gray whale transcriptome reveals longevity adaptations associated with DNA repair, autophagy and ubiquitination
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Gray whale transcriptome reveals longevity adaptations associated with DNA repair, autophagy and ubiquitination
D Toren, A Kulaga, M Jethva, E Rubin, AV Snezhkina, AV Kudryavtseva, D Nowicki, R Tacutu, AA Moskalev, VE Fraifeld
bioRxiv 754218; doi: https://doi.org/10.1101/754218
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Gray whale transcriptome reveals longevity adaptations associated with DNA repair, autophagy and ubiquitination
D Toren, A Kulaga, M Jethva, E Rubin, AV Snezhkina, AV Kudryavtseva, D Nowicki, R Tacutu, AA Moskalev, VE Fraifeld
bioRxiv 754218; doi: https://doi.org/10.1101/754218

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3609)
  • Biochemistry (7590)
  • Bioengineering (5533)
  • Bioinformatics (20833)
  • Biophysics (10347)
  • Cancer Biology (7998)
  • Cell Biology (11663)
  • Clinical Trials (138)
  • Developmental Biology (6619)
  • Ecology (10227)
  • Epidemiology (2065)
  • Evolutionary Biology (13648)
  • Genetics (9557)
  • Genomics (12860)
  • Immunology (7932)
  • Microbiology (19575)
  • Molecular Biology (7678)
  • Neuroscience (42193)
  • Paleontology (309)
  • Pathology (1259)
  • Pharmacology and Toxicology (2208)
  • Physiology (3272)
  • Plant Biology (7064)
  • Scientific Communication and Education (1295)
  • Synthetic Biology (1953)
  • Systems Biology (5435)
  • Zoology (1119)