Continuous evolution of user-defined genes at 1 million times the genomic mutation rate.

Autor: Rix G; Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92617, USA., Williams RL; Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA., Hu VJ; Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA., Spinner A; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA., Pisera AO; Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA., Marks DS; Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA.; Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA., Liu CC; Department of Molecular Biology and Biochemistry, University of California, Irvine, CA 92617, USA.; Department of Biomedical Engineering, University of California, Irvine, CA 92617, USA.; Department of Chemistry, University of California, Irvine, CA 92617, USA.; Center for Synthetic Biology, University of California, Irvine, CA 92617, USA.
Jazyk: angličtina
Zdroj: Science (New York, N.Y.) [Science] 2024 Nov 08; Vol. 386 (6722), pp. eadm9073. Date of Electronic Publication: 2024 Nov 08.
DOI: 10.1126/science.adm9073
Abstrakt: When nature evolves a gene over eons at scale, it produces a diversity of homologous sequences with patterns of conservation and change that contain rich structural, functional, and historical information about the gene. However, natural gene diversity accumulates slowly and likely excludes large regions of functional sequence space, limiting the information that is encoded and extractable. We introduce upgraded orthogonal DNA replication (OrthoRep) systems that radically accelerate the evolution of chosen genes under selection in yeast. When applied to a maladapted biosynthetic enzyme, we obtained collections of extensively diverged sequences with patterns that revealed structural and environmental constraints shaping the enzyme's activity. Our upgraded OrthoRep systems should support the discovery of factors influencing gene evolution, uncover previously unknown regions of fitness landscapes, and find broad applications in biomolecular engineering.
Databáze: MEDLINE
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