Parallel molecular mechanisms for enzyme temperature adaptation.


Journal

Science (New York, N.Y.)
ISSN: 1095-9203
Titre abrégé: Science
Pays: United States
ID NLM: 0404511

Informations de publication

Date de publication:
05 03 2021
Historique:
received: 05 06 2019
revised: 23 08 2020
accepted: 04 01 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 1 4 2021
Statut: ppublish

Résumé

The mechanisms that underly the adaptation of enzyme activities and stabilities to temperature are fundamental to our understanding of molecular evolution and how enzymes work. Here, we investigate the molecular and evolutionary mechanisms of enzyme temperature adaption, combining deep mechanistic studies with comprehensive sequence analyses of thousands of enzymes. We show that temperature adaptation in ketosteroid isomerase (KSI) arises primarily from one residue change with limited, local epistasis, and we establish the underlying physical mechanisms. This residue change occurs in diverse KSI backgrounds, suggesting parallel adaptation to temperature. We identify residues associated with organismal growth temperature across 1005 diverse bacterial enzyme families, suggesting widespread parallel adaptation to temperature. We assess the residue properties, molecular interactions, and interaction networks that appear to underly temperature adaptation.

Identifiants

pubmed: 33674467
pii: 371/6533/eaay2784
doi: 10.1126/science.aay2784
pii:
doi:

Substances chimiques

Bacterial Proteins 0
Steroid Isomerases EC 5.3.3.-

Banques de données

Dryad
['10.5061/dryad.3ffbg79h2']

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM060595
Pays : United States
Organisme : NIGMS NIH HHS
ID : P41 GM103393
Pays : United States

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Auteurs

Margaux M Pinney (MM)

Department of Biochemistry, Stanford University, Stanford, CA 94305, USA. margauxp@stanford.edu herschla@stanford.edu.

Daniel A Mokhtari (DA)

Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.

Eyal Akiva (E)

Department of Bioengineering and Therapeutic Sciences and Quantitative Biosciences Institute, University of California, San Francisco, CA 94158, USA.

Filip Yabukarski (F)

Department of Biochemistry, Stanford University, Stanford, CA 94305, USA.
Chan Zuckerberg Biohub, San Francisco, CA 94110, USA.

David M Sanchez (DM)

Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
Department of Photon Sciences, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Ruibin Liang (R)

Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
Department of Photon Sciences, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Tzanko Doukov (T)

Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Todd J Martinez (TJ)

Department of Chemistry, Stanford University, Stanford, CA 94305, USA.
Department of Photon Sciences, SLAC National Accelerator Laboratory, Menlo Park, CA 94025, USA.

Patricia C Babbitt (PC)

Department of Bioengineering and Therapeutic Sciences and Quantitative Biosciences Institute, University of California, San Francisco, CA 94158, USA.

Daniel Herschlag (D)

Department of Biochemistry, Stanford University, Stanford, CA 94305, USA. margauxp@stanford.edu herschla@stanford.edu.
Department of Chemical Engineering, Stanford University, Stanford, CA 94305, USA.
Stanford ChEM-H, Stanford University, Stanford, CA 94305, USA.

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Classifications MeSH