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Whole genome engineering, evolution, and high-throughput screening for propionic acid production and tolerance in yeast

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posted on 28.03.2022, 19:39 authored by Xin Xu
Metabolic engineering of the cell factory Saccharomyces cerevisiae (yeast) has enabled bioproduction of a wide variety of chemicals, fuels, and pharmaceuticals. However, strain engineering is time-consuming, expensive, and limited by biological knowledge. With the rapid development of synthetic biology, novel approaches can be developed to revolutionise the problematic strain engineering processes. The global consortium 'Saccharomyces cerevisiae version 2.0 (Sc2.0)' is constructing the world's first synthetic eukaryotic genome with whole genome design and synthesis. One of the design features of Sc2.0 is the inclusion of a synthetic evolution system termed 'SCRaMbLE' (Synthetic Chromosome Rearrangement and Modification by LoxP-mediated Evolution). This can generate high rates of genome rearrangements, which has great potential to be applied in yeast metabolic engineering by generating diverse and novel genomes with superior phenotypes. Propionic acid (PA), a top platform chemical, has been widely used as a food preservative and a chemical intermediate in many industries. PA production via engineering yeast is potentially a sustainable alternative to current petroleum derived production. In this thesis, novel approaches have been established, combined with synthetic biology approaches and high throughput screening, for the generation and selection of genetic diversity to improve PA production and PA tolerance. Firstly, to build the ultimate Sc2.0 platform, I contributed to the construction and de-bugging of synthetic Chromosome XIV. The full synXIV was functional with comparable growth to the wild-type. Secondly, to facilitate the high-throughput screening of PA producers, I contributed to the development of an organic acid biosensor in yeast. The biosensor consists of the nativeWar1p transcriptional regulator and PDR12 promoter, which transduce the concentrations of para-hydroxybenzoic acid (PHBA) and PA to a GFP signal. The dynamic range has been further increased by the positive feed-back expression of WAR1, and the GFP signal has been normalised to the constitutive expression of mCherry within each cell to control for intrinsic noise. Thirdly, to improve PA production in yeast, SCRaMbLE of the PA-producing Wood-Werkman cycle was performed in a haploid strain and a synthetic-wild-type hybrid diploid yeast containing synthetic chromosomes III, VI, and IXR. SCRaMbLE of a diploid strain was found to be superior to SCRaMbLE of a haploid strain due to reduced SCRaMbLE-mediated viability loss and a subsequent higher frequency of cells with improved phenotypes. A novel strategy has been developed for SCRaMbLE and biosensor facilitated FACS screening. With this strategy, two strains with 1.7-fold to 2.4-fold improved PA titres were isolated and characterised using whole-genome sequencing. However, their parental diploid strain had all but one of the genes in the synthetic Wood-Werkman cycle deleted before the induction of SCRaMbLE. The two isolates also had lost the synthetic chromosomes. Improved production of PA was attributed to degradation of exogenous amino acids to propionyl-CoA via native enzymes, and the conversion of propionyl-CoA to propionate by the only remaining Wood-Werkman cycle gene, scpC. Lastly, to overcome the toxicity of PA and pave the way for titre improvement in the future,adaptive laboratory evolution (ALE) was conducted with increasing concentrations of PAranging from 15 mM to 45 mM. This approach successfully improved yeast tolerance to PA bymore than 3-fold. Through genome sequencing and reverse engineering, three different single nucleotide substitutions in TRK1 (encoding a high-affinity potassium transporter) were revealed to be the determinant of elevated PA tolerance. Potassium supplementation assays showed that mutated TRK1 alleles, as well as addition of potassium in the medium, greatly elevated yeast tolerance to PA. These experiments have demonstrated that PA tolerance in yeast is mediated by the uptake of potassium ions, which likely promotes the export of protons from PA molecules to maintain pH homeostasis and stabilise membrane potential as protons from PA molecules are exported. The mutations in TRK1 mediate increased tolerance through increased potassium uptake and affinity. The mechanism not only functions in PA stress but also confers tolerance to multiple organic acid stress conditions. Overall, this doctoral study has contributed to the construction and understanding of the synthetic Yeast 2.0 genome, and the utilisation of its genome evolution system SCRaMbLE. In particular, it has provided insights in the establishment of novel approaches for strain engineering, and has revealed an organic acid tolerance mechanism that can contribute to future organic acid and lignocellulosic ethanol production processes in yeast.

History

Table of Contents

Chapter 1. Introduction -- Chapter 2. Synthesis and laboratory evolution of Saccharomyces cerevisiae synthetic chromosome XIV -- Chapter 3. Positive-feedback, ratiometric biosensor expression improves high-throughput metabolite-producer screening efficiency in yeast -- Chapter 4. SCRaMbLE and biosensor-mediated selection for improved PA production in yeast -- Chapter 5. Evolutionary engineering in Saccharomyces cerevisiae reveals a TRK1-dependent potassium influx mechanism for propionic acid tolerance -- Chapter 6. General discussion and future directions -- Appendices.

Notes

Includes bibliographical references Thesis by publication.

Awarding Institution

Macquarie University

Degree Type

Thesis PhD

Degree

PhD, Macquarie University, Faculty of Science and Engineering, Department of Molecular Sciences

Department, Centre or School

Department of Molecular Sciences

Year of Award

2019

Principal Supervisor

Ian T. Paulsen

Additional Supervisor 1

Thomas Williams

Rights

Copyright Xin Xu 2019. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xx, 165 pages) diagrams, graphs, tables

Former Identifiers

mq:72265 http://hdl.handle.net/1959.14/1283058