The field of synthetic biology is already beginning to realize its potential, with a wealth of examples showcasing the successful genetic engineering of microorganisms for the production of valuable compounds. The chassis Saccharomyces cerevisiae has been engineered to function as a microfactory for producing many of these economically and medically relevant compounds. However, strain construction and optimization to produce industrially relevant titers necessitate a wealth of underpinning biological knowledge alongside large investments of capital and time. Over the past decade, advances in DNA synthesis and editing tools have enabled multiplex genome engineering of yeast, permitting access to more complex modifications that could not have been easily generated in the past. These genome engineering efforts often result in large populations of strains with genetic diversity that can pose a significant challenge to screen individually via traditional methods such as mass spectrometry. The large number of samples generated would necessitate screening methods capable of analyzing all of the strains generated to maximize the explored genetic space. In this Perspective, we focus on recent innovations in multiplex genome engineering of S. cerevisiae, together with biosensors and high-throughput screening tools, such as droplet microfluidics, and their applications in accelerating chassis optimization.
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Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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Site | Modification | Modifier | Source | Reference |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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