4 research outputs found
Improved vectors for Agrobacterium mediated genetic manipulation of Hypholoma spp. and other homobasidiomycetes
The Biogenetic Origin of the Biologically Active Naematolin of Hypholoma Species Involves an Unusual Sesquiterpene Synthase
Naematolin is a biologically active sesquiterpene produced by Hypholoma species. Low titres and complex structure constrain the exploitation of this secondary metabolite. Here, we de novo sequenced the H. fasciculare genome to identify a candidate biosynthetic gene cluster for production of naematolin. Using Aspergillus oryzae as a heterologous host for gene expression, the activity of several sesquiterpene synthases were investigated, highlighting one atypical sesquiterpene synthase apparently capable of catalysing the 1,11 and subsequent 2,10 ring closures, which primes the synthesis of the distinctive structure of caryophyllene derivatives. Co-expression of the cyclase with an FAD oxidase adjacent within the gene cluster generated four oxidised caryophyllene-based sesquiterpenes: 5β,6α,8β-trihydroxycariolan, 5β,8β-dihydroxycariolan along with two previously unknown caryophyllene derivatives 2 and 3. This represents the first steps towards heterologous production of such basidiomycete-derived caryophyllene-based sesquiterpenes, opening a venue for potential novel antimicrobials via combinatorial biosynthesis
Improved vectors for Agrobacterium mediated genetic manipulation of Hypholoma spp. and other homobasidiomycetes
MIBiG 3.0 : a community-driven effort to annotate experimentally validated biosynthetic gene clusters
With an ever-increasing amount of (meta)genomic data being deposited in sequence databases, (meta)genome mining for natural product biosynthetic pathways occupies a critical role in the discovery of novel pharmaceutical drugs, crop protection agents and biomaterials. The genes that encode these pathways are often organised into biosynthetic gene clusters (BGCs). In 2015, we defined the Minimum Information about a Biosynthetic Gene cluster (MIBiG): a standardised data format that describes the minimally required information to uniquely characterise a BGC. We simultaneously constructed an accompanying online database of BGCs, which has since been widely used by the community as a reference dataset for BGCs and was expanded to 2021 entries in 2019 (MIBiG 2.0). Here, we describe MIBiG 3.0, a database update comprising large-scale validation and re-annotation of existing entries and 661 new entries. Particular attention was paid to the annotation of compound structures and biological activities, as well as protein domain selectivities. Together, these new features keep the database up-to-date, and will provide new opportunities for the scientific community to use its freely available data, e.g. for the training of new machine learning models to predict sequence-structure-function relationships for diverse natural products. MIBiG 3.0 is accessible online at https://mibig.secondarymetabolites.org/