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Biotechnology Journal
Article . 2022 . Peer-reviewed
License: CC BY
Data sources: Crossref
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High fidelity one‐pot DNA assembly using orthogonal serine integrases

Authors: Jumai Abioye; Makeba Lawson‐Williams; Alicia Lecanda; Brecken Calhoon; Arlene L. McQue; Sean D. Colloms; W. Marshall Stark; +1 Authors

High fidelity one‐pot DNA assembly using orthogonal serine integrases

Abstract

AbstractBackgroundLarge serine integrases (LSIs, derived from temperate phages) have been adapted for use in a multipart DNA assembly process in vitro, called serine integrase recombinational assembly (SIRA). The versatility, efficiency, and fidelity of SIRA is limited by lack of a sufficient number of LSIs whose activities have been characterized in vitro.Methods and Major ResultsIn this report, we compared the activities in vitro of 10 orthogonal LSIs to explore their suitability for multiplex SIRA reactions. We found that Bxb1, ϕR4, and TG1 integrases were the most active among the set we studied, but several others were also usable. As proof of principle, we demonstrated high‐efficiency one‐pot assembly of six DNA fragments (made by PCR) into a 7.5 kb plasmid that expresses the enzymes of the β‐carotenoid pathway in Escherichia coli, using six different LSIs. We further showed that a combined approach using a few highly active LSIs, each acting on multiple pairs of att sites with distinct central dinucleotides, can be used to scale up “poly‐part” gene assembly and editing.Conclusions and ImplicationsWe conclude that use of multiple orthogonal integrases may be the most predictable, efficient, and programmable approach for SIRA and other in vitro applications.

Related Organizations
Keywords

Integrases, Serine, Bacteriophages, DNA, Plasmids

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
hybrid