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An experimental census of retrons for DNA production and genome editing.
Khan, Asim G; Rojas-Montero, Matías; González-Delgado, Alejandro; Lopez, Santiago C; Fang, Rebecca F; Shipman, Seth L.
Afiliación
  • Khan AG; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
  • Rojas-Montero M; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
  • González-Delgado A; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
  • Lopez SC; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
  • Fang RF; Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, CA, USA.
  • Shipman SL; Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
bioRxiv ; 2024 Jan 26.
Article en En | MEDLINE | ID: mdl-38328236
ABSTRACT
Retrons are bacterial immune systems that use reverse transcribed DNA as a detector of phage infection. They are also increasingly deployed as a component of biotechnology. For genome editing, for instance, retrons are modified so that the reverse transcribed DNA (RT-DNA) encodes an editing donor. Retrons are commonly found in bacterial genomes; thousands of unique retrons have now been predicted bioinformatically. However, only a small number have been characterized experimentally. Here, we add substantially to the corpus of experimentally studied retrons. We synthesized >100 previously untested retrons to identify the natural sequence of RT-DNA they produce, quantify their RT-DNA production, and test the relative efficacy of editing using retron-derived donors to edit bacterial genomes, phage genomes, and human genomes. We add 62 new empirically determined, natural RT-DNAs, which are not predictable from the retron sequence alone. We report a large diversity in RT-DNA production and editing rates across retrons, finding that top performing editors outperform those used in previous studies, and are drawn from a subset of the retron phylogeny.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos