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High-copy-number plasmids are indispensable tools for gene overexpression studies in prokaryotes to engineer pathways or probe phenotypes of interest. The development of genetic tools for the industrially relevant Actinobacteria is of special interest, given their utility in producing keratolytic enzymes and biologically active natural products. Within the Actinobacteria, Streptomyces–Escherichia coli shuttle vectors based on the SCP2* and pIJ101 incompatibility groups are widely employed for molecular cloning and gene expression studies. Here, the sequences of two commonly used pIJ101-based Streptomyces–E. coli shuttle vectors, pEM4 and pUWL201, were determined using next-generation sequencing. These plasmids drive the expression of heterologous genes using the constitutive ermE*p promoter. pEM4 was found to be 8.3 kbp long, containing a β-lactamase gene, thiostrepton resistance marker, the lacZɑ fragment, a ColE1 origin of replication and the Streptomyces pIJ101 origin of replication. pUWL201 was found to be 6.78 kbp long, containing a β-lactamase gene, thiostrepton resistance marker, the lacZɑ fragment, a ColE1 origin of replication and the Streptomyces pIJ101 origin of replication. Interestingly, the sequences for both pEM4 and pUWL201 exceed their previously reported size by 1.1 and 0.4 kbp, respectively. This report updates the literature with the corrected sequences for these shuttle vectors, ensuring their compatibility with modern synthetic biology cloning methodologies.
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CryptKeeper: a negative design tool for reducing unintentional gene expression in bacteria
Abstract Foundational techniques in molecular biology—such as cloning genes, tagging biomolecules for purification or identification, and overexpressing recombinant proteins—rely on introducing non-native or synthetic DNA sequences into organisms. These sequences may be recognized by the transcription and translation machinery in their new context in unintended ways. The cryptic gene expression that sometimes results has been shown to produce genetic instability and mask experimental signals. Computational tools have been developed to predict individual types of gene expression elements, but it can be difficult for researchers to contextualize their collective output. Here, we introduce CryptKeeper, a software pipeline that visualizes predictions of Escherichia coli gene expression signals and estimates the translational burden possible from a DNA sequence. We investigate several published examples where cryptic gene expression in E. coli interfered with experiments. CryptKeeper accurately postdicts unwanted gene expression from both eukaryotic virus infectious clones and individual proteins that led to genetic instability. It also identifies off-target gene expression elements that resulted in truncations that confounded protein purification. Incorporating negative design using CryptKeeper into reverse genetics and synthetic biology workflows can help to mitigate cloning challenges and avoid unexplained failures and complications that arise from unintentional gene expression.
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- PAR ID:
- 10562192
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Synthetic Biology
- Volume:
- 9
- Issue:
- 1
- ISSN:
- 2397-7000
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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