4.8 Article

Protein Structural Information and Evolutionary Landscape by In Vitro Evolution

Journal

MOLECULAR BIOLOGY AND EVOLUTION
Volume 37, Issue 4, Pages 1179-1192

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/molbev/msz256

Keywords

beta-lactamase; beta-lactamase; Amp(R); DCA; direct coupling analysis; evolutionary couplings; Sequel; PacBio; third-generation sequencing; SMRT sequencing; mutagenesis; error-prone PCR; molecular evolution

Funding

  1. Scuola Normale Superiore
  2. University of Pavia
  3. UK Dementia Research Institute [RE1 3556]
  4. Medical Research Council
  5. Alzheimer's Society
  6. Alzheimer's Research UK
  7. MRC [MC_PC_13054, UKDRI-6002] Funding Source: UKRI

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Protein structure is tightly intertwined with function according to the laws of evolution. Understanding how structure determines function has been the aim of structural biology for decades. Here, we have wondered instead whether it is possible to exploit the function for which a protein was evolutionary selected to gain information on protein structure and on the landscape explored during the early stages of molecular and natural evolution. To answer to this question, we developed a new methodology, which we named CAMELS (Coupling Analysis by Molecular Evolution Library Sequencing), that is able to obtain the in vitro evolution of a protein from an artificial selection based on function. We were able to observe with CAMELS many features of the TEM-1 beta-lactamase local fold exclusively by generating and sequencing large libraries of mutational variants. We demonstrated that we can, whenever a functional phenotypic selection of a protein is available, sketch the structural and evolutionary landscape of a protein without utilizing purified proteins, collecting physical measurements, or relying on the pool of natural protein variants.

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