Enzymes boost protein
engineering, directed evolution, and the
biochemical industry and are also the cornerstone of metabolic engineering.
Basidiomycetes are known to produce a large variety of terpenoids
with unique structures. However, basidiomycetous terpene synthases
remain largely untapped. Therefore, we provide a modeling method to
obtain specific terpene synthases. Aided by bioinformatics analysis,
three γ-cadinene enzymes from
Ganoderma lucidum
and
Ganoderma sinensis
were accurately
predicted and identified experimentally. Based on the highly conserved
amino motifs of the characterized γ-cadinene enzymes, the enzyme
was reassembled as model 1. Using this model as a template, 67 homologous
sequences of the γ-cadinene enzyme were screened from the National
Center for Biotechnology Information (NCBI). According to the 67 sequences,
the same gene structure, and similar conserved motifs to model 1,
the γ-cadinene enzyme model was further improved by the same
construction method and renamed as model 2. The results of bioinformatics
analysis show that the conservative regions of models 1 and 2 are
highly similar. In addition, five of these sequences were verified,
100% of which were γ-cadinene enzymes. The accuracy of the prediction
ability of the γ-cadinene enzyme model was proven. In the same
way, we also reanalyzed the identified Δ
6
-protoilludene
enzymes in fungi and (−)-α-bisabolol enzymes in plants,
all of which have their own unique conserved motifs. Our research
method is expected to be used to study other terpenoid synthases with
a similar or the same function in basidiomycetes, ascomycetes, bacteria,
and plants and to provide rich enzyme resources.