Ancestral reconstruction reveals mechanisms of ERK regulatory evolution

Author:

Sang Dajun1ORCID,Pinglay Sudarshan1ORCID,Wiewiora Rafal P23ORCID,Selvan Myvizhi E45,Lou Hua Jane6,Chodera John D2ORCID,Turk Benjamin E6,Gümüş Zeynep H45ORCID,Holt Liam J1ORCID

Affiliation:

1. Institute for Systems Genetics, New York University Langone Medical Center, New York, United States

2. Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, United States

3. Memorial Sloan Kettering Cancer Center, New York, United States

4. Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, United States

5. Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, United States

6. Department of Pharmacology, Yale University School of Medicine, New Haven, United States

Abstract

Protein kinases are crucial to coordinate cellular decisions and therefore their activities are strictly regulated. Previously we used ancestral reconstruction to determine how CMGC group kinase specificity evolved (Howard et al., 2014). In the present study, we reconstructed ancestral kinases to study the evolution of regulation, from the inferred ancestor of CDKs and MAPKs, to modern ERKs. Kinases switched from high to low autophosphorylation activity at the transition to the inferred ancestor of ERKs 1 and 2. Two synergistic amino acid changes were sufficient to induce this change: shortening of the β3-αC loop and mutation of the gatekeeper residue. Restoring these two mutations to their inferred ancestral state led to a loss of dependence of modern ERKs 1 and 2 on the upstream activating kinase MEK in human cells. Our results shed light on the evolutionary mechanisms that led to the tight regulation of a kinase that is central in development and disease.

Funder

Vilcek Foundation

National Cancer Institute

U.S. Department of Defense

National Institute of General Medical Sciences

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3