Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans.
Genomic approaches to trace the history of human brain evolution with an emerging opportunity for transposon profiling of ancient humans.
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DOI:
10.1186/s13100-021-00250-2
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发表时间:
2021-10-18
期刊:
影响因子:
4.9
通讯作者:
Lee EA
中科院分区:
文献类型:
--
作者:
Wang Y;Zhao B;Choi J;Lee EA
Transposable elements (TEs) significantly contribute to shaping the diversity of the human genome, and lines of evidence suggest TEs as one of driving forces of human brain evolution. Existing computational approaches, including cross-species comparative genomics and population genetic modeling, can be adapted for the study of the role of TEs in evolution. In particular, diverse ancient and archaic human genome sequences are increasingly available, allowing reconstruction of past human migration events and holding the promise of identifying and tracking TEs among other evolutionarily important genetic variants at an unprecedented spatiotemporal resolution. However, highly degraded short DNA templates and other unique challenges presented by ancient human DNA call for major changes in current experimental and computational procedures to enable the identification of evolutionarily important TEs. Ancient human genomes are valuable resources for investigating TEs in the evolutionary context, and efforts to explore ancient human genomes will potentially provide a novel perspective on the genetic mechanism of human brain evolution and inspire a variety of technological and methodological advances. In this review, we summarize computational and experimental approaches that can be adapted to identify and validate evolutionarily important TEs, especially for human brain evolution. We also highlight strategies that leverage ancient genomic data and discuss unique challenges in ancient transposon genomics. The online version contains supplementary material available at 10.1186/s13100-021-00250-2.
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DOI:
10.1146/annurev-genom-082509-141802
发表时间:
2011
影响因子:
8.7
作者:
Beck CR;Garcia-Perez JL;Badge RM;Moran JV
通讯作者:
Moran JV
影响因子:
14.9
作者:
Belancio VP;Roy-Engel AM;Pochampally RR;Deininger P
通讯作者:
Deininger P
DOI:
10.1126/science.1244392
发表时间:
2014-02-14
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bae BI;Tietjen I;Atabay KD;Evrony GD;Johnson MB;Asare E;Wang PP;Murayama AY;Im K;Lisgo SN;Overman L;Šestan N;Chang BS;Barkovich AJ;Grant PE;Topçu M;Politsky J;Okano H;Piao X;Walsh CA
通讯作者:
Walsh CA
影响因子:
64.5
作者:
Beck CR;Collier P;Macfarlane C;Malig M;Kidd JM;Eichler EE;Badge RM;Moran JV
通讯作者:
Moran JV
影响因子:
64.5
作者:
Aneichyk T;Hendriks WT;Yadav R;Shin D;Gao D;Vaine CA;Collins RL;Domingo A;Currall B;Stortchevoi A;Multhaupt-Buell T;Penney EB;Cruz L;Dhakal J;Brand H;Hanscom C;Antolik C;Dy M;Ragavendran A;Underwood J;Cantsilieris S;Munson KM;Eichler EE;Acuña P;Go C;Jamora RDG;Rosales RL;Church DM;Williams SR;Garcia S;Klein C;Müller U;Wilhelmsen KC;Timmers HTM;Sapir Y;Wainger BJ;Henderson D;Ito N;Weisenfeld N;Jaffe D;Sharma N;Breakefield XO;Ozelius LJ;Bragg DC;Talkowski ME
通讯作者:
Talkowski ME