Nature Chemical BiologySynthetic BiologyPeer-reviewed journal article
Improved architectures for flexible DNA production using retrons across kingdoms of life
Santiago C. LopeziD, Kate D Crawford, Sierra K. LeariD, Santi Bhattarai-KlineiD, Seth L. ShipmaniD
Abstract
Exogenous DNA is a critical molecular tool for biology. This is particularly true for gene editing, where exogenous DNA can be used as a template to introduce precise changes to the sequence of a cells genome. This DNA is typically synthesized or assembled in vitro and then delivered to target cells. However, delivery can be inefficient, and low abundance of template DNA may be one reason that precise editing typically occurs at a low rate. It has recently been shown that producing DNA inside cells can using reverse transcriptases can increase the efficiency of genome editing. One tool to produce that DNA is a retron, a bacterial retroelement that has an endogenous role in phage defense. However, little effort has been directed at optimizing the retron for production of designed sequences when used as a component of biotechnology. Here, we identify modifications to the retron non-coding RNA that result in more abundant reverse transcribed DNA. We also test architectures of the retron operon that enable efficient reverse transcription across kingdoms of life from bacteria, to yeast, to cultured human cells. We find that gains in DNA production using modified retrons are portable from prokaryotic to eukaryotic cells. Finally, we demonstrate that increased production of RT-DNA results in more efficient genome editing in both prokaryotic and eukaryotic cells. These experiments provide a general framework for production of DNA using a retron for biotechnological applications.
- organism: bacteria (other)
- organism: yeast
- organism: human
- assay: DNA methylation
- assay: whole-genome sequencing
- research focus: gene regulatory network inference
- research focus: variant calling
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 91
- FWCI
- 4.16
- Field percentile
- top 4%
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