Yeast and bacteria co-cultures can be found in nature and have multiple advantages that can be exploited, nowadays also in a controlled bioproduction environment. Various types of co-cultivation have been used for food applications such as production of flavor compounds in dairy products and alcoholic beverages. Co-cultures can broaden the substrate spectrum for microbial food and feed production, they can increase productivity and efficiency, and the nutritional value. Workflows have been developed from plate to bioreactor scale to increase reproducibility and optimize benefits of individual co-cultivation strategies. Nonetheless, certain limitations need to be overcome for industrial application. Many interactions of microbes, in particular in suspension cultures, are not sufficiently understood or even explored. While more possibilities arose from on-line monitoring of individual populations or even single cells, off-line measurement techniques are still typically applied in order to assess growth and product formation. Promising advances have been achieved, however, by methods for single-cell at-line and on-line analysis in co-cultures which are accounted for to emphasize the current opportunities and challenges in monitoring and controlling co-cultures. This review aims to summarize the recent advances with a particular focus on cultivation procedures and process analysis in bacteria, yeast and bacteria-yeast co-cultures. The implementation of suitable monitoring methods to enable (remote) control and contribute to quality assurance will accelerate the development and optimization of industrial co-culture bioprocesses. This will support transferability and process standardization across world regions adding to the advancement of bioproduction. The applicability of some relevant technology is, however, in its infancy.
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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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