The rate of epigenetic drift scales with maximum lifespan across mammals.
The rate of epigenetic drift scales with maximum lifespan across mammals.
复制标题
DOI:
10.1038/s41467-023-43417-6
复制
发表时间:
2023-11-25
影响因子:
16.6
通讯作者:
Parrott, Benjamin B.
中科院分区:
文献类型:
--
作者:
Bertucci-Richter, Emily M.;Parrott, Benjamin B.
Epigenetic drift or “disorder” increases across the mouse lifespan and is suggested to underlie epigenetic clock signals. While the role of epigenetic drift in determining maximum lifespan across species has been debated, robust tests of this hypothesis are lacking. Here, we test if epigenetic disorder at various levels of genomic resolution explains maximum lifespan across four mammal species. We show that epigenetic disorder increases with age in all species and at all levels of genomic resolution tested. The rate of disorder accumulation occurs faster in shorter lived species and corresponds to species adjusted maximum lifespan. While the density of cytosine-phosphate-guanine dinucleotides (“CpGs”) is negatively associated with the rate of age-associated disorder accumulation, it does not fully explain differences across species. Our findings support the hypothesis that the rate of epigenetic drift explains maximum lifespan and provide partial support for the hypothesis that CpG density buffers against epigenetic drift. Epigenetic drift has been hypothesized to contribute to epigenetic clock signals and variation in lifespan across species. Here, the authors show that an empirical measure of epigenetic drift scales with maximum lifespan across four mammal species and accumulates in non-random genomic locations.
登录
查看更多内容
影响因子:
16
作者:
Hannum, Gregory;Guinney, Justin;Zhao, Ling;Zhang, Li;Hughes, Guy;Sadda, SriniVas;Klotzle, Brandy;Bibikova, Marina;Fan, Jian-Bing;Gao, Yuan;Deconde, Rob;Chen, Menzies;Rajapakse, Indika;Friend, Stephen;Ideker, Trey;Zhang, Kang
通讯作者:
Zhang, Kang
影响因子:
64.5
作者:
Oberdoerffer P;Michan S;McVay M;Mostoslavsky R;Vann J;Park SK;Hartlerode A;Stegmuller J;Hafner A;Loerch P;Wright SM;Mills KD;Bonni A;Yankner BA;Scully R;Prolla TA;Alt FW;Sinclair DA
通讯作者:
Sinclair DA
影响因子:
64.5
作者:
Tian, Xiao;Firsanov, Denis;Gorbunova, Vera
通讯作者:
Gorbunova, Vera
影响因子:
64.8
作者:
通讯作者:
--
影响因子:
7.7
作者:
Anderson JA;Johnston RA;Lea AJ;Campos FA;Voyles TN;Akinyi MY;Alberts SC;Archie EA;Tung J
通讯作者:
Tung J