An HMM approach expands the landscape of sesquiterpene cyclases across the kingdom Fungi
Journal article, 2023

Sesquiterpene cyclases (STC) catalyse the cyclization of the C15 molecule farnesyl diphosphate into a vast variety of mono- or polycyclic hydrocarbons and, for a few enzymes, oxygenated structures, with diverse stereogenic centres. The huge diversity in sesquiterpene skeleton structures in nature is primarily the result of the type of cyclization driven by the STC. Despite the phenomenal impact of fungal sesquiterpenes on the ecology of fungi and their potentials for applications, the fungal sesquiterpenome is largely untapped. The identification of fungal STC is generally based on protein sequence similarity with characterized enzymes. This approach has improved our knowledge on STC in a few fungal species, but it has limited success for the discovery of distant sequences. Besides, the tools based on secondary metabolite biosynthesis gene clusters have shown poor performance for terpene cyclases. Here, we used four sets of sequences of fungal STC that catalyse four types of cyclization, and specific amino acid motives to identify phylogenetically related sequences in the genomes of basidiomycetes fungi from the order Polyporales. We validated that four STC genes newly identified from the genome sequence of Leiotrametes menziesii, each classified in a different phylogenetic clade, catalysed a predicted cyclization of farnesyl diphosphate. We built HMM models and searched STC genes in 656 fungal genomes genomes. We identified 5605 STC genes, which were classified in one of the four clades and had a predicted cyclization mechanism. We noticed that the HMM models were more accurate for the prediction of the type of cyclization catalysed by basidiomycete STC than for ascomycete STC.

terpene synthase

Polyporales

genome

sesquiterpene

Keywords : fungi

Author

Hayat Hage

Bioaster, France

Aix Marseille University

Julie Couillaud

Institut des Sciences Moléculaires de Marseille

A. Salamov

DOE Joint Genome Institute

Margot Loussouarn-Yvon

Aix Marseille University

Fabien Durbesson

Laboratoire Architecture et Fonction des Macromolécules Biologiques

Elena Ormeño

Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale

Sacha Grisel

Aix Marseille University

Katia Duquesne

Institut des Sciences Moléculaires de Marseille

Renaud Vincentelli

Laboratoire Architecture et Fonction des Macromolécules Biologiques

Igor Grigoriev

Lawrence Berkeley National Laboratory

University of California at Berkeley

DOE Joint Genome Institute

Gilles Iacazio

Institut des Sciences Moléculaires de Marseille

Marie Noëlle Rosso

Aix Marseille University

Microbial Genomics

2057-5858 (eISSN)

Vol. 9 4

Subject Categories

Bioinformatics (Computational Biology)

Bioinformatics and Systems Biology

Genetics

DOI

10.1099/mgen.0.000990

PubMed

37073784

More information

Latest update

7/17/2023