Department of Biology and Center for Computational Genetics and Genomics, Temple University, Philadelphia, PA, 19122, USA.
Department of Biology, Georgia State University, Atlanta, GA, 30303, USA.
J Mol Evol. 2021 Apr;89(3):157-164. doi: 10.1007/s00239-021-09993-1. Epub 2021 Jan 24.
As both a computational and an experimental endeavor, ancestral sequence reconstruction remains a timely and important technique. Modern approaches to conduct ancestral sequence reconstruction for proteins are built upon a conceptual framework from journal founder Emile Zuckerkandl. On top of this, work on maximum likelihood phylogenetics published in Journal of Molecular Evolution in 1996 was one of the first approaches for generating maximum likelihood ancestral sequences of proteins. From its computational history, future model development needs as well as potential applications in areas as diverse as computational systems biology, molecular community ecology, infectious disease therapeutics and other biomedical applications, and biotechnology are discussed. From its past in this journal, there is a bright future for ancestral sequence reconstruction in the field of evolutionary biology.
作为一项计算和实验工作，祖先序列重建仍然是一项及时且重要的技术。目前用于蛋白质祖先序列重建的方法是基于期刊创始人埃米尔·祖克坎德尔（Emile Zuckerkandl）的概念框架构建的。在此基础上，1996 年在《分子进化杂志》（Journal of Molecular Evolution）上发表的最大似然系统发生学工作是生成蛋白质最大似然祖先序列的首批方法之一。从其计算历史、未来模型开发需求以及在计算系统生物学、分子群落生态学、传染病治疗学和其他生物医学应用和生物技术等多个领域的潜在应用等方面进行了讨论。从该期刊的过去可以看出，祖先序列重建在进化生物学领域有着光明的未来。
