ArticleMicrobial cell factories2019
Biosensor-guided improvements in salicylate production by recombinant Escherichia coli.
Article in Microbial cell factories, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 38 citations in OpenAlex.
- Development of a transcription factor-based biosensor strain for reporting α-terpineol productionRSC chemical biology · 2026Article
- Genetically encoded biosensors enabled high-throughput screening of microbial cell factories.Engineering microbiology · 2026Review
- Microbial engineering for monocyclic aromatic compounds production.FEMS microbiology reviews · 2025Review
- State-of-the-art in engineering small molecule biosensors and their applications in metabolic engineering.SLAS technology · 2024Review
- The Construction of the Self-Induced Sal System and Its Application in Salicylic Acid Production.Molecules (Basel, Switzerland) · 2023Article
- Recent advances in screening amino acid overproducers.Engineering microbiology · 2023Review
- Metabolic Engineering ofACS omega · 2022Article
- Toward improved terpenoids biosynthesis: strategies to enhance the capabilities of cell factories.Bioresources and bioprocessing · 2022Review
- Effective use of biosensors for high-throughput library screening for metabolite production.Journal of industrial microbiology & biotechnology · 2021Review
- Protein engineering for natural product biosynthesis and synthetic biology applications.Protein engineering, design & selection : PEDS · 2021Review
- Metabolic engineering of Escherichia coli for production of chemicals derived from the shikimate pathway.Journal of industrial microbiology & biotechnology · 2020Review
- Review
- Genetically encoded biosensors for lignocellulose valorization.Biotechnology for biofuels · 2019Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSalicylate can be biosynthesized from the common metabolic intermediate shikimate and has found applications in pharmaceuticals and in the bioplastics industry. While much metabolic engineering work focused on the shikimate pathway has led to the biosynthesis of a variety of aromatic compounds, little is known about how the relative expression levels of pathway components influence salicylate biosynthesis. Furthermore, some host strain gene deletions that improve salicylate production may be impossible to predict. Here, a salicylate-responsive transcription factor was used to optimize the expression levels of shikimate/salicylate pathway genes in recombinant E. coli, and to screen a chromosomal transposon insertion library for improved salicylate production.
resultsA high-throughput colony screen was first developed based on a previously designed salicylate-responsive variant of the E. coli AraC regulatory protein ("AraC-SA"). Next, a combinatorial library was constructed comprising a series of ribosome binding site sequences corresponding to a range of predicted protein translation initiation rates, for each of six pathway genes (> 38,000 strain candidates). Screening for improved salicylate production allowed for the rapid identification of optimal gene expression patterns, conferring up to 123% improved production of salicylate in shake-flask culture. Finally, transposon mutagenesis and screening revealed that deletion of rnd (encoding RNase D) from the host chromosome further improved salicylate production by 27%.
conclusionsThese results demonstrate the effectiveness of the salicylate sensor-based screening platform to rapidly identify beneficial gene expression patterns and gene knockout targets for improving production. Such customized high-throughput tools complement other cell factory engineering strategies. This approach can be generalized for the production of other shikimate-derived compounds.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.