Identification of a Novel Biosynthetic Gene Cluster in Aspergillus niger Using Comparative Genomics

Two distinct non-ribosomal peptide synthetase-independent siderophore synthetase gene clusters identified in Armillaria and other species in the Physalacriaceae

Siderophores are important for ferric iron solubilization, sequestration, transportation, and storage, especially under iron-limiting conditions such as aerobic conditions at high pH. Siderophores are mainly produced by non-ribosomal peptide synthetase-dependent siderophore pathway, non-ribosomal peptide synthetase-independent siderophore synthetase pathway, or the hybrid non-ribosomal peptide synthetases/non-ribosomal peptide synthetases-independent siderophore pathway. Outcompeting or inhibition of plant pathogens, alteration of host defense mechanisms, and alteration of plant-fungal interactions have been associated with fungal siderophores. To understand these mechanisms in fungi, studies have been conducted on siderophore biosynthesis by ascomycetes with limited focus on the basidiomycetes. Armillaria includes several species that are pathogens of woody plants and trees important to agriculture, horticulture, and forestry. The aim of this study was to investigate the presence of non-ribosomal peptide synthetases-independent siderophore synthetase gene cluster(s) in genomes of Armillaria species using a comparative genomics approach. Iron-dependent growth and siderophore biosynthesis in strains of selected Armillaria spp. were also evaluated in vitro. Two distinct non-ribosomal peptide synthetases-independent siderophore synthetase gene clusters were identified in all the genomes. All non-ribosomal peptide synthetases-independent siderophore synthetase genes identified putatively encode Type A' non-ribosomal peptide synthetases-independent siderophore synthetases, most of which have IucA_IucC and FhuF-like transporter domains at their N- and C-terminals, respectively. The effect of iron on culture growth varied among the strains studied. Bioassays using the CAS assay on selected Armillaria spp. revealed in vitro siderophore biosynthesis by all strains irrespective of added FeCl3 concentration. This study highlights some of the tools that Armillaria species allocate to iron homeostasis. The information generated from this study may in future aid in developing molecular based methods to control these phytopathogens.

Nonribosomal peptide synthetase gene clusters and characteristics of predicted NRPS-dependent siderophore synthetases in Armillaria and other species in the Physalacriaceae

Fungal secondary metabolites are often pathogenicity or virulence factors synthesized by genes contained in secondary metabolite gene clusters (SMGCs). Nonribosomal polypeptide synthetase (NRPS) clusters are SMGCs which produce peptides such as siderophores, the high affinity ferric iron chelating compounds required for iron uptake under aerobic conditions. Armillaria spp. are mostly facultative necrotrophs of woody plants. NRPS-dependent siderophore synthetase (NDSS) clusters of Armillaria spp. and selected Physalacriaceae were investigated using a comparative genomics approach. Siderophore biosynthesis by strains of selected Armillaria spp. was evaluated using CAS and split-CAS assays. At least one NRPS cluster and other clusters were detected in the genomes studied. No correlation was observed between the number and types of SMGCs and reported pathogenicity of the species studied. The genomes contained one NDSS cluster each. All NDSSs were multi-modular with the domain architecture (ATC)₃(TC)₂. NDSS clusters of the Armillaria spp. showed a high degree of microsynteny. In the genomes of Desarmillaria spp. and Guyanagaster necrorhizus, NDSS clusters were more syntenic with NDSS clusters of Armillaria spp. than to those of the other Physalacriaceae species studied. Three A-domain orthologous groups were identified in the NDSSs, and atypical Stachelhaus codes were predicted for the A3 orthologous group. In vitro biosynthesis of mainly hydroxamate and some catecholate siderophores was observed. Hence, Armillaria spp. generally contain one highly conserved, NDSS cluster although some interspecific variations in the products of these clusters is expected. Results from this study lays the groundwork for future studies to elucidate the molecular biology of fungal phyto-pathogenicity.

The expanding CRISPR toolbox for natural product discovery and engineering in filamentous fungi

Covering: up to May 2022Fungal genetics has transformed natural product research by enabling the elucidation of cryptic metabolites and biosynthetic steps. The enhanced capability to add, subtract, modulate, and rewrite genes via CRISPR/Cas technologies has opened up avenues for the manipulation of biosynthetic gene clusters across diverse filamentous fungi. This review discusses the innovative and diverse strategies for fungal natural product discovery and engineering made possible by CRISPR/Cas-based tools. We also provide a guide into multiple angles of CRISPR/Cas experiment design, and discuss current gaps in genetic tool development for filamentous fungi and the promising opportunities for natural product research.

Improving candidate Biosynthetic Gene Clusters in fungi through reinforcement learning

MOTIVATION

Precise identification of Biosynthetic Gene Clusters (BGCs) is a challenging task. Performance of BGC discovery tools is limited by their capacity to accurately predict components belonging to candidate BGCs, often overestimating cluster boundaries. To support optimizing the composition and boundaries of candidate BGCs, we propose reinforcement learning approach relying on protein domains and functional annotations from expert curated BGCs.

RESULTS

The proposed reinforcement learning method aims to improve candidate BGCs obtained with state-of-the-art tools. It was evaluated on candidate BGCs obtained for two fungal genomes, Aspergillus niger and Aspergillus nidulans. The results highlight an improvement of the gene precision by above 15% for TOUCAN, fungiSMASH and DeepBGC; and cluster precision by above 25% for fungiSMASH and DeepBCG, allowing these tools to obtain almost perfect precision in cluster prediction. This can pave the way of optimizing current prediction of candidate BGCs in fungi, while minimizing the curation effort required by domain experts.

AVAILABILITY AND IMPLEMENTATION

https://github.com/bioinfoUQAM/RL-bgc-components.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Systems Biology in Fungal Research

The beauty within biological systems can be uncovered using a variety of advanced technological platforms for in-depth profiling. Improvements in genome, transcriptome, proteome, and metabolome investigations, as well as data integration, are moving our understanding of diverse biological systems forward at a rapid rate. Combined with publicly available and customizable bioinformatics tools, we comprehensively profile biological changes under a plethora of circumstances. For fungal pathogens innovation is driven by our ability to explore mechanisms of antifungal resistance, reveal new relationships and interactions between a host and pathogen, improve our characterization of virulence determinants, and discover new antifungal targets. In this Special Issue dedicated to “Systems biology in fungal research”, we explore each of these factors and more, highlighting the multitude of avenues and strategies available to study fungal pathogens and how they impact our environment.

Heterologous Synthesis of Monacolin J by Reconstructing Its Biosynthetic Gene Cluster in Aspergillus niger

Monacolin J (MJ), a key precursor of Lovastatin, could synthesize important statin drug simvastatin by hydrolyzing lovastatin and adding different side chains. In this study, to reduce the cumbersome hydrolysis of lovastatin to produce MJ in the native strain Aspergillus terreus, the MJ biosynthetic pathway genes (lovB, lovC, lovG, and lovA) were heterologously integrated into the genome of Aspergillus. niger CBS513.88 with strong promoters and suitable integration sites, via yeast 2μ homologous recombination to construct expression cassettes of long-length genes and CRISPR/Cas9 homology-directed recombination (CRISPR-HDR) to integrate MJ genes in the genome of A. niger. RT-PCR results proved that pathway synthesis-related genes could be heterologously expressed in A. niger. Finally, we constructed an engineered strain that could produce monacolin J, detected by LC-HR-ESIMS (MJ, 339.22 [M-H]⁺). The yield of MJ reached 92.90 mg/L after 7-day cultivation. By optimizing the cultivation conditions and adding precursor, the final titer of MJ was 142.61 mg/L on the fourth day of fed-batch cultivation, which was increased by 53.5% compared to the original growth conditions. Due to the wide application of A. niger in industrial fermentation for food and medicine, the following work will be dedicated to optimizing the metabolic network to improve the MJ production in the engineered strain.

Exploiting endophytic microbes as micro-factories for plant secondary metabolite production

Plant secondary metabolites have significant potential applications in a wide range of pharmaceutical, food, and cosmetic industries by providing new chemistries and compounds. However, direct isolation of such compounds from plants has resulted in over-harvesting and loss of biodiversity, currently threatening several medicinal plant species to extinction. With the breakthrough report of taxol production by an endophytic fungus of Taxus brevifolia, a new era in natural product research was established. Since then, the ability of endophytic microbes to produce metabolites similar to those produced by their host plants has been discovered. The plant "endosphere" represents a rich and unique biological niche inhabited by organisms capable of producing a range of desired compounds. In addition, plants growing in diverse habitats and adverse environmental conditions represent a valuable reservoir for obtaining rare microbes with potential applications. Despite being an attractive and sustainable approach for obtaining economically important metabolites, the industrial exploitation of microbial endophytes for the production and isolation of plant secondary metabolites remains in its infancy. The present review provides an updated overview of the prospects, challenges, and possible solutions for using microbial endophytes as micro-factories for obtaining commercially important plant metabolites.Key points• Some "plant" metabolites are rather synthesized by the associated endophytes.• Challenges: Attenuation, silencing of BGCs, unculturability, complex cross-talk.• Solutions: Simulation of in planta habitat, advanced characterization methods.