Decoding and recoding the ribosomal peptide universe

Parallel lives of symbionts and hosts: chemical mutualism in marine animals

Covering: up to 2018 Symbiotic microbes interact with animals, often by producing natural products (specialized metabolites; secondary metabolites) that exert a biological role. A major goal is to determine which microbes produce biologically important compounds, a deceptively challenging task that often rests on correlative results, rather than hypothesis testing. Here, we examine the challenges and successes from the perspective of marine animal-bacterial mutualisms. These animals have historically provided a useful model because of their technical accessibility. By comparing biological systems, we suggest a common framework for establishing chemical interactions between animals and microbes.

Motif-independent de novo detection of secondary metabolite gene clusters-toward identification from filamentous fungi

Secondary metabolites are produced mostly by clustered genes that are essential to their biosynthesis. The transcriptional expression of these genes is often cooperatively regulated by a transcription factor located inside or close to a cluster. Most of the secondary metabolism biosynthesis (SMB) gene clusters identified to date contain so-called core genes with distinctive sequence features, such as polyketide synthase (PKS) and non-ribosomal peptide synthetase (NRPS). Recent efforts in sequencing fungal genomes have revealed far more SMB gene clusters than expected based on the number of core genes in the genomes. Several bioinformatics tools have been developed to survey SMB gene clusters using the sequence motif information of the core genes, including SMURF and antiSMASH. More recently, accompanied by the development of sequencing techniques allowing to obtain large-scale genomic and transcriptomic data, motif-independent prediction methods of SMB gene clusters, including MIDDAS-M, have been developed. Most these methods detect the clusters in which the genes are cooperatively regulated at transcriptional levels, thus allowing the identification of novel SMB gene clusters regardless of the presence of the core genes. Another type of the method, MIPS-CG, uses the characteristics of SMB genes, which are highly enriched in non-syntenic blocks (NSBs), enabling the prediction even without transcriptome data although the results have not been evaluated in detail. Considering that large portion of SMB gene clusters might be sufficiently expressed only in limited uncommon conditions, it seems that prediction of SMB gene clusters by bioinformatics and successive experimental validation is an only way to efficiently uncover hidden SMB gene clusters. Here, we describe and discuss possible novel approaches for the determination of SMB gene clusters that have not been identified using conventional methods.

Recognition sequences and substrate evolution in cyanobactin biosynthesis

Ribosomally synthesized and posttranslationally modified peptide (RiPP) natural products are of broad interest because of their intrinsic bioactivities and potential for synthetic biology. The RiPP cyanobactin pathways pat and tru have been experimentally shown to be extremely tolerant of mutations. In nature, the pathways exhibit “substrate evolution”, where enzymes remain constant while the substrates of those enzymes are hypervariable and readily evolvable. Here, we sought to determine the mechanism behind this promiscuity. Analysis of a series of different enzyme–substrate combinations from five different cyanobactin gene clusters, in addition to engineered substrates, led us to define short discrete recognition elements within substrates that are responsible for directing enzymes. We show that these recognition sequences (RSs) are portable and can be interchanged to control which functional groups are added to the final natural product. In addition to the previously assigned N- and C-terminal proteolysis RSs, here we assign the RS for heterocyclization modification. We show that substrate elements can be swapped in vivo leading to successful production of natural products in E. coli. The exchangeability of these elements holds promise in synthetic biology approaches to tailor peptide products in vivo and in vitro.