2022
DOI: 10.1016/j.tibtech.2022.03.004
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Merging automation and fundamental discovery into the design–build–test–learn cycle of nontraditional microbes

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Cited by 29 publications
(17 citation statements)
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“…[91] Apart from its value to gather fundamental knowledge and lead to exciting biotechnological developments, the implementation of the CBBc in new hosts can provide a platform for the directed evolution of RuBisCO in the hunt for variants with improved kinetic parameters or substrate specificity. [29] Although some efforts have been implemented in this direction, utilizing a combination of growth-coupled selection strategies, [43] in vivo directed mutagenesis, [90b,92] and high-throughput and automation routines [93] will offer new opportunities for improvement.…”
Section: Discussionmentioning
confidence: 99%
“…[91] Apart from its value to gather fundamental knowledge and lead to exciting biotechnological developments, the implementation of the CBBc in new hosts can provide a platform for the directed evolution of RuBisCO in the hunt for variants with improved kinetic parameters or substrate specificity. [29] Although some efforts have been implemented in this direction, utilizing a combination of growth-coupled selection strategies, [43] in vivo directed mutagenesis, [90b,92] and high-throughput and automation routines [93] will offer new opportunities for improvement.…”
Section: Discussionmentioning
confidence: 99%
“…Taken together, these results highlight the versatility of the CBE and ABE modules for engineering Gram-negative bacteria-demonstrated by a first-case example of site-directed mutation and reversal in the same strain. Moreover, the easily-curable vectors used for base-editing enable cycling of the genome modifications in a simple protocol that can be adapted to different purposes (including metabolic engineering and fundamental discovery of gene-to-function relationships) and amenable to automation [52]. This strategy eases complex strain engineering programs independently of homologous recombination and yields plasmid-free engineered cells.…”
Section: The Pablo•pcasso Toolset For Unconstrained Base-editing In G...mentioning
confidence: 99%
“…Indeed, it has paved the way for systematic exploration of the metabolic solution spaces required to produce target metabolites ( Wu et al, 2016 ; Gudmundsson and Nogales, 2021 ). Design-Build-Test-Learn (DBTL) iterative cycles stand up as popular examples of such multidisciplinary approaches to the production of a plethora of chemical compounds ( Gurdo et al, 2022 ). DBTL cycles are iterative designs combining the advances in systems and synthetic biology to deliver rational genetic modifications and high-throughput phenotyping of strains.…”
Section: Introductionmentioning
confidence: 99%