Wäneskog, M. | bioRxiv Science

bioRxiv2024

A synthetic platform for multiplex screening of cell-cell communication between soil fungi

Fungi are essential members across ecosystems, yet phytopathogenic fungi pose an increasing risk to crop yields. Despite their ecologic importance, cell-cell communication in fungi is underexplored, partly due to the lack of high-throughput techniques. Here we developed a Yeast Mating Platform (YeMaP) to investigate the interaction between fungal G protein-coupled receptors (GPCRs) and pheromone peptides. We used YeMaP for high- throughput screening of 8,000 pheromone sequences and identified new peptides with improved agonism or antagonism action. We found that these peptides can be applied in a native fungal system such as the plant pathogen Fusarium oxysporum, to control hyphal chemotropism and reduce plant root penetration. Additionally, we utilized YeMaP in a one- pot assay to investigate how abiotic factors influence the communication of multiple pheromone-GPCR combinations and found that the cell-cell communication mediated by the GPCR Ste2 from F. oxysporum signalled robustly across different abiotic factors, while other fungal GPCR-pheromone interactions were more sensitive to changes. Taken together, YeMaP accelerates the identification of fungal GPCR-peptide interactions by enabling one- pot assays, and serves as model system for studying fungal cell-cell communication.

synthetic biology↗

bioRxiv2024

Heat pre-treatment reduces multiplicity of plasmid transformations in yeast during electroporation, without diminishing the transformation efficiency

High-throughput DNA transformation techniques are invaluable when creating high-diversity mutant libraries, and the success rate of any protein engineering endeavors is directly dependent on both the size and diversity of the mutant library that is to be screened. It is also widely accepted that in both bacteria and yeast there is an inverse correlation between the DNA transformation efficiency and the likelihood of transforming multiple DNA molecules into each cell. However, most successful high-throughput mutant screening efforts require high quality libraries, i.e., libraries comprised of cells with a clear phenotype-to-genotype relationship (one genotype/cell). Thus, DNA transformation methods with a high multiplicity of transformation are highly undesirable and detrimental to most mutant screening assays. Here we describe a simple, robust, and highly efficient yeast plasmid DNA transformation methodology, using a dual heat-shock and electroporation approach (HEEL) that generates more than 2 x 107 plasmid-transformed yeast cells per reaction, while simultaneously increasing the fraction of mono-transformed cells from 20% to more than 70% of the transformed population. By also using an automated yeast genotyping workflow coupled with a dual-barcoding approach, consisting of a SNP and high-diversity barcode (10N), we can consistently identify and enumerate unique plasmid genotypes within a heterogeneous population merely through Sanger sequencing. We demonstrate here that the size and quality of a transformed library no longer need to be inversely correlated when transforming large mutant DNA libraries in yeast using highly efficient DNA electroporation methods. SignificanceWith the recent expansion of artificial intelligence in the field of synthetic biology there has never been a greater need for high-quality data and reliable measurements of phenotype-to-genotype relationships. However, one major obstacle to creating accurate computer-based models is the current abundance of low-quality phenotypic measurements originating from numerous high-throughput, but low-resolution assays. Rather than increasing the quantity of measurements, new studies should aim to generate as accurate measurements as possible. The HEEL methodology presented here aims to address this issue by minimizing the problem of multi-plasmid uptake during high-throughput yeast DNA transformations, which leads to the creation of heterogeneous cellular genotypes. HEEL should enable highly accurate phenotype-to-genotype measurements going forward, which could be used to construct better computer-based models.

microbiology↗

bioRxiv2019

Class II contact-dependent growth inhibition (CDI) systems allow for broad-range cross-species toxin delivery

Contact-dependent growth inhibition (CDI) allows bacteria to recognize kin cells in mixed bacterial populations. In Escherichia coli, CDI mediated effector delivery has been shown to be species-specific, with a preference for the own strain over others. This specificity is achieved through an interaction between a receptor-binding domain in the CdiA protein and its cognate receptor protein on the target cell. But how conserved this specificity is has not previously been investigated in detail. Here we show that three different class II CdiA receptor-binding domains and their Enterobacter cloacae analog are highly promiscuous, allowing for efficient effector delivery into several different Enterobacteriaceae species, including Escherichia, Enterobacter, Klebsiella and Salmonella spp. In addition, although we observe a preference for some receptors over others, this did not limit cross-species effector delivery, suggesting that class II CdiA proteins can allow for broad-range and cross-species growth inhibition in mixed bacterial populations.

evolutionary biology↗