No abstract

SignificanceReplacement of nonrenewable petrochemicals and liquid fuels requires sustainable production of oleochemicals. Free fatty acids (FFAs) are versatile molecules that can be produced by microbial fermentation and are used as precursors for production of these oleochemicals. In the past few years, we have seen major advancements in improving the yeast Saccharomyces cerevisiae for FFA production. Despite these successes, lipid metabolism is highly complex, and the pathways and metabolites involved in the formation of FFAs in yeast remain incompletely understood. In this work, we make important advancements in understanding the dynamics of FFA formation in the cell and explore the role of phospholipids in this process.

Fatty acid-derived compounds have a range of industrial applications, from chemical building blocks to biofuels. Due to the highly dynamic nature of fatty acid metabolism, it is difficult to identify genes modulating fatty acyl-CoA levels using a rational approach. Metabolite biosensors can be used to screen genes from large-scale libraries in vivo in a high throughput manner. Here, a fatty acyl-CoA sensor based on the transcription factor FadR from Escherichia coli was established in Saccharomyces cerevisiae and combined with a gene overexpression library to screen for genes increasing the fatty acyl-CoA pool. Fluorescenceactivated cell sorting, followed by data analysis, identified genes enhancing acyl-CoA levels. From these, overexpression of RTC3, GGA2 and LPP1 resulted in about 80% increased fatty alcohol levels. Changes in fatty acid saturation and chain length distribution could also be observed. These results indicate that the use of this acyl-CoA biosensor combined with a gene overexpression library allows for identification of gene targets improving production of fatty acids and derived products.

Triacylglycerols (TAGs) are valuable versatile compounds that can be used as metabolites for nutrition and health, as well as feedstocks for biofuel production. Although Saccharomyces cerevisiae is the favored microbial cell factory for industrial production of biochemicals, it does not produce large amounts of lipids and TAGs comprise only ~1% of its cell dry weight. Here, we engineered S. cerevisiae to reorient its metabolism for overproduction of TAGs, by regulating lipid droplet associated-proteins involved in TAG synthesis and hydrolysis. We implemented a push-and-pull strategy by overexpressing genes encoding a deregulated acetyl-CoA carboxylase, ACC1S659A/S1157A(ACC1**), as well as the last two steps of TAG formation: phosphatidic phosphatase (PAH1) and diacylglycerol acyltransferase (DGA1), ultimately leading to 129 mg∙gCDW−1 of TAGs. Disruption of TAG lipase genes TGL3, TGL4, TGL5 and sterol acyltransferase gene ARE1 increased the TAG content to 218 mg∙gCDW−1. Further disruption of the beta-oxidation by deletion of POX1, as well as glycerol-3-phosphate utilization through deletion of GUT2, did not affect TAGs levels. Finally, disruption of the peroxisomal fatty acyl-CoA transporter PXA1 led to accumulation of 254 mg∙gCDW−1. The TAG levels achieved here are the highest titer reported in S. cerevisiae, reaching 27.4% of the maximum theoretical yield in minimal medium with 2% glucose. This work shows the potential of using an industrially established and robust yeast species for high level lipid production.

SidJ is a Dot/Icm effector involved in the trafficking or retention of ER-derived vesicles to Legionella pneumophila vacuoles whose mutation causes an observable growth defect, both in macrophage and amoeba hosts. Given the crucial role of this effector in L. pneumophila virulence we investigated the mechanisms shaping its molecular evolution. The alignment of SidJ sequences revealed several alleles with amino acid variations that may influence the protein properties. The identification of HGT events and the detection of balancing selection operating on sidJ evolution emerge as a clear result. Evidence suggests that intragenic recombination is an important strategy in the evolutionary adaptive process playing an active role on sidJ genetic plasticity. This pattern of evolution is in accordance with the life style of L. pneumophila as a broad host-range pathogen by preventing host-specialization and contributing to the resilience of the species.