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Engineering Biocatalysts for the C-H Activation of Fatty Acids by Ancestral Sequence Reconstruction.

Bethan S JonesConnie M RossGabriel FoleyNadiia PozhydaievaJoseph W SharrattNico KressLisa S SeibtRaine E S ThomsonYosephine GumulyaMartin A HayesElizabeth M J GillamSabine L Flitsch
Published in: Angewandte Chemie (International ed. in English) (2024)
Selective, one-step C-H activation of fatty acids from biomass is an attractive concept in sustainable chemistry. Biocatalysis has shown promise for generating high-value hydroxy acids, but to date enzyme discovery has relied on laborious screening and produced limited hits, which predominantly oxidise the subterminal positions of fatty acids. Herein we show that ancestral sequence reconstruction (ASR) is an effective tool to explore the sequence-activity landscape of a family of multidomain, self-sufficient P450 monooxygenases. We resurrected 11 catalytically active CYP116B ancestors, each with a unique regioselectivity fingerprint that varied from subterminal in the older ancestors to mid-chain in the lineage leading to the extant, P450-TT. In lineages leading to extant enzymes in thermophiles, thermostability increased from ancestral to extant forms, as expected if thermophily had arisen de novo. Our studies show that ASR can be applied to multidomain enzymes to develop active, self-sufficient monooxygenases as regioselective biocatalysts for fatty acid hydroxylation.
Keyphrases
  • fatty acid
  • single cell
  • small molecule
  • amino acid
  • physical activity
  • wastewater treatment
  • big data
  • machine learning
  • drug discovery
  • case control
  • quality control
  • anaerobic digestion