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Krogh Jensen, M.

Publications and source records attributed to Krogh Jensen, M..

4 recordsLinked to original sources

Engineering orthogonal quorum sensing circuits using LuxR-type systems in yeast consortia

Engineered microbial communities hold significant biotechnological potential because their collective metabolism can produce functions beyond those achievable by individual strains. However, multicellular synthetic gene circuits require orthogonal communication systems that enable precise, programmable signaling between cells. Quorum sensing (QS), where cells both produce and detect small diffusible signal molecules, offers a natural framework for such intercellular communication. However, the construction of complex multicellular circuits for applications such as biobased production is currently hampered by the limited number of orthogonal QS channels available in yeast. Here, we expand the QS toolkit in Saccharomyces cerevisiae by characterizing four LuxR-type biosensors based on EsaR, LasR, TraR and RpaR, alongside the previously established LuxR biosensor. We functionally expressed acyl-CoA-dependent HSL synthases in yeast, producing a diverse range of aliphatic and aromatic HSL signals. LuxR and RpaR, were compatible with in vivo ligand production and established as orthogonal QS signaling pair with synthases MesI and RpaI, respectively. Co-culture experiments demonstrated QS-dependent intercellular signaling, with 3.9-fold and 6.4-fold induction relative to monocultures. Together, these results establish a modular and extensible platform for orthogonal intercellular communication in yeast, enabling the construction of multicellular synthetic gene circuits.

synthetic biology↗

Genome-based discovery of pachysiphine synthases in Tabernaemontana elegans

Plant specialized metabolism represents an inexhaustible source of active molecules, some of which have been used in human health for decades. Among these, monoterpene indole alkaloids (MIAs) include a wide range of valuable compounds with anticancer, antihypertensive, or neuroactive properties. This is particularly the case for the pachysiphine derivatives which show interesting antitumor and anti-alzheimer activities but accumulate at very low levels in several Tabernaemontana species. Unfortunately, genome data in Tabernaemontanaceae are lacking and knowledge on the biogenesis of pachysiphine-related MIAs in planta remains scarce, limiting the prospects for biotechnological supply of many pachysiphine-derived biopharmaceuticals. Here, we report a raw version of the toad tree (Tabernaemontana elegans) genome sequence. These new genomic resources led to the identification and characterization of a couple of genes encoding cytochrome P450 with pachysiphine synthase activity. Our phylogenomic and docking analyses highlights the different evolutionary processes that have been recruited to epoxidize the pachysiphine precursor tabersonine at a specific position and in a dedicated orientation, thus enriching our understanding of the diversification and speciation of the MIA metabolism in plants. These gene discoveries also allowed us to engineer the synthesis of MIAs in yeast through the combinatorial association of metabolic enzymes resulting in the tailor-made synthesis of non-natural MIAs. Overall, this work represents a step forward for the future supply of pachysiphine-derived drugs by microbial cell factories. Significance StatementWhile pachysiphine is a monoterpene indole alkaloid of high interest and the precursor of an anti-Alzheimer compound, its biosynthesis involving the epoxidation of tabersonine remains uncharacterized. By sequencing and assembling the genome of Tabernaemontana elegans, we identified two P450s exhibiting a pachysiphine synthase activity that we modelized to explore the evolutionary scenario leading to the acquisition of this expoxidase activity; and used to engineer yeast cell factories for securing pachysiphine supply and producing new-to-nature alkaloids.

plant biology↗

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↗

Versatile polyketide biosynthesis platform for production of aromatic compounds in yeast

To accelerate the shift to bio-based production and overcome complicated functional implementation of natural and artificial biosynthetic pathways to industry relevant organisms, development of new, versatile, bio-based production platforms is required. Here we present a novel yeast platform for biosynthesis of bacterial aromatic polyketides. The platform is based on a synthetic polyketide synthase system enabling a first demonstration of bacterial aromatic polyketide biosynthesis in a eukaryotic host.

synthetic biology↗