Publication Date:
2015-05-23
Description:
To determine whether genes retain ancestral functions over a billion years of evolution and to identify principles of deep evolutionary divergence, we replaced 414 essential yeast genes with their human orthologs, assaying for complementation of lethal growth defects upon loss of the yeast genes. Nearly half (47%) of the yeast genes could be successfully humanized. Sequence similarity and expression only partly predicted replaceability. Instead, replaceability depended strongly on gene modules: Genes in the same process tended to be similarly replaceable (e.g., sterol biosynthesis) or not (e.g., DNA replication initiation). Simulations confirmed that selection for specific function can maintain replaceability despite extensive sequence divergence. Critical ancestral functions of many essential genes are thus retained in a pathway-specific manner, resilient to drift in sequences, splicing, and protein interfaces.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718922/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉 〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718922/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kachroo, Aashiq H -- Laurent, Jon M -- Yellman, Christopher M -- Meyer, Austin G -- Wilke, Claus O -- Marcotte, Edward M -- DP1 GM106408/GM/NIGMS NIH HHS/ -- R01 GM076536/GM/NIGMS NIH HHS/ -- R01 GM088344/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2015 May 22;348(6237):921-5. doi: 10.1126/science.aaa0769.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA. ; Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA. Center for Computational Biology and Bioinformatics, University of Texas at Austin, Austin, TX 78712, USA. ; Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA. Center for Computational Biology and Bioinformatics, University of Texas at Austin, Austin, TX 78712, USA. Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA. ; Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, Austin, TX 78712, USA. Center for Computational Biology and Bioinformatics, University of Texas at Austin, Austin, TX 78712, USA. Department of Molecular Biosciences, University of Texas at Austin, Austin, TX 78712, USA. marcotte@icmb.utexas.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25999509" target="_blank"〉PubMed〈/a〉
Keywords:
Computer Simulation
;
DNA Replication/genetics
;
*Evolution, Molecular
;
Genes, Essential/genetics/*physiology
;
Genes, Fungal/genetics/*physiology
;
Humans
;
RNA Splicing/genetics
;
Saccharomyces cerevisiae/*genetics
;
Selection, Genetic
;
Sterols/biosynthesis
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
