Genome Methylation Predicts Age and Longevity of Bats
Gerald S. Wilkinson,
Danielle M Adams,
Ake T Lu,
Joseph Alan Zoller,
Bryan D. Arnold,
Hope C. Ball,
Lisa Noelle Cooper,
Dina K.N. Dechmann,
Nicolas J. Fasel,
Alexander V. Galazyuk,
Ella Z. Lattenkamp,
Caesar Z Li,
Josephine A. Reinhardt,
Rodrigo A. Medellin,
Megan L. Power,
Roger D Ransome,
Emma C. Teeling,
Sonja C. Vernes,
Posted 04 Sep 2020
bioRxiv DOI: 10.1101/2020.09.04.283655
Posted 04 Sep 2020
Exceptionally long-lived species, including many bats, rarely show overt signs of aging, making it difficult to determine why species differ in lifespan. Here, we use DNA methylation (DNAm) profiles from 712 known-age bats, representing 26 species, to identify epigenetic changes associated with age and longevity. We demonstrate that DNAm accurately predicts chronological age. Across species, longevity is negatively associated with the rate of DNAm change at age-associated sites. Furthermore, analysis of several bat genomes reveals that hypermethylated age- and longevity-associated sites are disproportionately located in promoter regions of key transcription factors (TF) and enriched for histone and chromatin features associated with transcriptional regulation. Predicted TF binding site motifs and enrichment analyses indicate that age-related methylation change is influenced by developmental processes, while longevity-related DNAm change is associated with innate immunity or tumorigenesis genes, suggesting that bat longevity results from augmented immune response and cancer suppression.
- Downloaded 864 times
- Download rankings, all-time:
- Site-wide: 32,445
- In genomics: 2,780
- Year to date:
- Site-wide: 16,646
- Since beginning of last month:
- Site-wide: 65,999
Downloads over time
Distribution of downloads per paper, site-wide
- 27 Nov 2020: The website and API now include results pulled from medRxiv as well as bioRxiv.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!