Biology subjects

Shi, Y.-N.

Publications and source records attributed to Shi, Y.-N..

6 recordsLinked to original sources

bioRxiv2025

Identification of pseudotetraivprolide from Pseudomonas entomophila give novel insights into the biosynthesis of detoxin/rimosamide-like anti-antibiotics

Novel variants of known natural product (NP) classes might guide our understanding of biosynthesis, mode of action and potential application as drugs for all members of such NP classes. Here we describe a novel member of the widespread detoxine/rimosamide-like (DRL) natural products named pseudotetraivprolide from Pseudomonas strains, which has the characteristic DRL-activity of protecting Bacillus cereus against the antibiotic blasticidin S. The generation of several deletion and complemented mutants, heterologous expression experiments, identification and structure elucidation of several derivatives, chemical synthesis of main derivatives, enzymatic characterization of individual biochemical steps and detailed homology modelling of enzyme complexes were performed. This allowed us to show the primary metabolism-derived malonyl CoA-ACP transacylase (AT) FabD acting as trans-AT in the biosynthesis, suggest an order for all late-stage modifications and provide a function for the three conserved hypothetical proteins PipDFG acting as last-step acetylation complex thereby stabilizing the final product.

microbiology↗

bioRxiv2024

Exploiting the inherent promiscuity of the acyl transferase of the stambomycin polyketide synthase for the mutasynthesis of analogues

The polyketide specialized metabolites of bacteria are attractive targets for generating analogues, with the goal of improving their pharmaceutical properties. Here, we aimed to produce C-26 derivatives of the giant anti-cancer stambomycin macrolides using a mutasynthesis approach, as this position has been shown previously to directly impact bioactivity. For this, we leveraged the intrinsically broad specificity of the acyl transferase domain (AT12) of the modular polyketide synthase (PKS), which is responsible for the alkyl branching functionality at this position. Feeding of a panel of synthetic and commercially available dicarboxylic acid mutasynthons to an engineered strain of Streptomyces ambofaciens (Sa) deficient in synthesis of the native -carboxyacyl-CoA extender units, resulted in six new series of stambomycin derivatives as judged by LC-HRMS and NMR. Notably, the highest product yields were observed for substrates which were only poorly accepted when AT12 was transplanted into a different PKS module, suggesting a critical role for domain context in the overall functioning of PKS proteins. We also demonstrate the superiority of this mutasynthesis approach - both in terms of absolute titers and yields relative to the parental compounds - in comparison to the alternative precursor-directed strategy in which monoacid building blocks are supplied to the wild type strain. We further identify a malonyl-CoA synthetase, MatB_Sa, with specificity distinct from previously identified promiscuous enzymes, making it a useful addition to a mutasynthesis toolbox for generating atypical, CoA activated extender units. Finally, we show that two of the obtained (deoxy)-butyl-stambomycins exhibit antibacterial and antiproliferative activities similar to the parental stambomycins, while an unexpected butyl-demethyl congener is less potent. Overall, this works confirms the interest of biosynthetic pathways which combine a dedicated route to extender unit synthesis and a broad specificity AT domain for producing bioactive derivatives of fully-elaborated complex polyketides.

synthetic biology↗

bioRxiv2022

Evolutionary Inspired Engineering of Megasynthetases

Many clinically used drugs are derived from or inspired by bacterial natural products that often are biosynthesised via non-ribosomal peptide synthetases (NRPS), giant megasynthases that activate and join individual amino acids in an assembly line fashion. Since NRPS are not limited to the incorporation of the 20 proteinogenic amino acids, their efficient manipulation would allow the biotechnological generation of complex peptides including linear, cyclic and further modified natural product analogues, e.g. to optimise natural product leads. Here we describe a detailed phylogenetic analysis of several bacterial NRPS that led to the identification of a new recombination breakpoint within the thiolation (T) domain that is important for natural NRPS evolution. From this, an evolution-inspired eXchange Unit between T domains (XUT) approach was developed which allows the assembly of NRPS fragments over a broad range of GC contents, protein similarities, and extender unit specificities, as demonstrated for the specific production of a proteasome inhibitor designed and assembled from five different NRPS fragments.

synthetic biology↗

bioRxiv2022

Global analysis of biosynthetic gene clusters reveals conserved and unique natural products in entomopathogenic nematode-symbiotic bacteria

Microorganisms contribute to the biology and physiology of eukaryotic hosts and affect other organisms through natural products. Xenorhabdus and Photorhabdus (XP) living in mutualistic symbiosis with entomopathogenic nematodes produce a myriad of natural products to mediate bacteria-nematode-insect interactions. However, a lack of systematic analysis of the biosynthetic gene clusters (BGCs) has limited the understanding of how natural products justify the bacterial niche specificity. Here we combine pangenome and sequence similarity networks to analyze BGCs from 45 XP species. The identified 1,000 BGCs belong to 176 families, over half of which are unknown. Eleven BGCs represent the most conserved families. We then homologously express the ubiquitous and unique BGCs and identify compounds featuring unusual architectures. The bioactivity evaluation demonstrates that the prevalent compounds are eukaryotic proteasome inhibitors, insect virulence factors, or insect immune suppressors. These findings account for the functional basis of bacterial natural products in this tripartite relationship.

biochemistry↗

bioRxiv2020

The Chemical Structure of Widespread Microbial Aryl Polyene Lipids

Biosynthetic gene clusters (BGC) involved in aryl polyene (APE) biosynthesis are supposed to represent the most widespread BGC in the bacterial world.[1-3] Still, only hydrolysis products[4-8] and not the full-length product(s) have been identified, hindering studies on their biosynthesis and natural function. Here, we apply subsequent chromatographic separations to purify the aryl polyene-containing lipids (APELs) from the entomopathogenic bacterium Xenorhabdus doucetiae. Structure elucidation using a combination of isotope labeling, nuclear magnetic resonance techniques, and tandem mass spectrometry reveals an array of APELs featuring an all-trans C26:5 conjugated fatty acyl and a galactosamine-phosphate-glycerol moiety. In combination with extensive genetic studies, this research broadens the bacterial natural product repertoire and paves the way for future functional characterization of this almost universal microbial compound class. Due to their protective function against reactive oxygen species,[5,9] APELs might be important for virulence or symbiosis, mediating organismic interactions in several ecological niches.

microbiology↗

bioRxiv2019

Focused natural product elucidation by prioritizing high-throughput metabolomic studies with machine learning

Bacteria of the genera Photorhabdus and Xenorhabdus produce a plethora of natural products to support their similar symbiotic lifecycles. For many of these compounds, the specific bioactivities are unknown. One common challenge in natural product research when trying to prioritize research efforts is the rediscovery of identical (or highly similar) compounds from different strains. Linking genome sequence to metabolite production can help in overcoming this problem. However, sequences are typically not available for entire collections of organisms. Here we perform a comprehensive metabolic screening using HPLC-MS data associated with a 114-strain collection (58 Photorhabdus and 56 Xenorhabdus) from across Thailand and explore the metabolic variation among the strains, matched with several abiotic factors. We utilize machine learning in order to rank the importance of individual metabolites in determining all given metadata. With this approach, we were able to prioritize metabolites in the context of natural product investigations, leading to the identification of previously unknown compounds. The top three highest-ranking features were associated with Xenorhabdus and attributed to the same chemical entity, cyclo(tetrahydroxybutyrate). This work addresses the need for prioritization in high-throughput metabolomic studies and demonstrates the viability of such an approach in future research.

microbiology↗