Beaver and Naked Mole Rat Genomes Reveal Common Paths to Longevity.
Beaver and Naked Mole Rat Genomes Reveal Common Paths to Longevity.
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DOI:
10.1016/j.celrep.2020.107949
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发表时间:
2020-07-28
期刊:
影响因子:
8.8
通讯作者:
Gladyshev, Vadim N.
中科院分区:
文献类型:
--
作者:
Zhou, Xuming;Dou, Qianhui;Fan, Guangyi;Zhang, Quanwei;Sanderford, Maxwell;Kaya, Alaattin;Johnson, Jeremy;Karlsson, Elinor K.;Tian, Xiao;Mikhalchenko, Aleksei;Kumar, Sudhir;Seluanov, Andrei;Zhang, Zhengdong D.;Gorbunova, Vera;Liu, Xin;Gladyshev, Vadim N.
Long-lived rodents have become an attractive model for the studies on aging. To understand evolutionary paths to long life, we prepare chromosome-level genome assemblies of the two longest-lived rodents, Canadian beaver (Castor canadensis) and naked mole rat (NMR, Heterocephalus glaber), which were scaffolded with in vitro proximity ligation and chromosome conformation capture data and complemented with long-read sequencing. Our comparative genomic analyses reveal that amino acid substitutions at “disease-causing” sites are widespread in the rodent genomes and that identical substitutions in long-lived rodents are associated with common adaptive phenotypes, e.g., enhanced resistance to DNA damage and cellular stress. By employing a newly developed substitution model and likelihood ratio test, we find that energy and fatty acid metabolism pathways are enriched for signals of positive selection in both long-lived rodents. Thus, the high-quality genome resource of long-lived rodents can assist in the discovery of genetic factors that control longevity and adaptive evolution. Zhou et al. generate “chromosome-level” genome assemblies for the Canadian beaver and naked mole rat. They characterize genome features and identify common substitutions in long-lived rodents that support enhanced tolerance of cells to DNA damage. The study also provides a valuable genome resource for aging research.
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影响因子:
8.8
作者:
Fang X;Seim I;Huang Z;Gerashchenko MV;Xiong Z;Turanov AA;Zhu Y;Lobanov AV;Fan D;Yim SH;Yao X;Ma S;Yang L;Lee SG;Kim EB;Bronson RT;Šumbera R;Buffenstein R;Zhou X;Krogh A;Park TJ;Zhang G;Wang J;Gladyshev VN
通讯作者:
Gladyshev VN
影响因子:
64.8
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影响因子:
14.9
作者:
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通讯作者:
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影响因子:
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Austad, SN
通讯作者:
Austad, SN
影响因子:
11.4
作者:
Gao, LZ;Zhang, JZ
通讯作者:
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