ArticleRNA biology2014
Use of the computer-retargeted group II intron RmInt1 of Sinorhizobium meliloti for gene targeting.
Article in RNA biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Identification and classification of reverse transcriptases in bacterial genomes and metagenomes.Nucleic acids research · 2022Article
- Identification of Group II Intron RmInt1 Binding Sites in a Bacterial Genome.Frontiers in molecular biosciences · 2022Article
- Prokaryotic reverse transcriptases: from retroelements to specialized defense systems.FEMS microbiology reviews · 2021Review
- Targetron-Assisted Delivery of Exogenous DNA Sequences intoACS synthetic biology · 2021Article
- A group II intron-encoded protein interacts with the cellular replicative machinery through the β-sliding clamp.Nucleic acids research · 2019Article
- Article
- Group II Intron RNPs and Reverse Transcriptases: From Retroelements to Research Tools.Cold Spring Harbor perspectives in biology · 2019Review
- Localization of a bacterial group II intron-encoded protein in human cells.Scientific reports · 2015Article
- Insights into the strategies used by related group II introns to adapt successfully for the colonisation of a bacterial genome.RNA biology · 2014Review
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4 authors.
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Abstract
Gene-targeting vectors derived from mobile group II introns capable of forming a ribonucleoprotein (RNP) complex containing excised intron lariat RNA and an intron-encoded protein (IEP) with reverse transcriptase (RT), maturase, and endonuclease (En) activities have been described. RmInt1 is an efficient mobile group II intron with an IEP lacking the En domain. We performed a comprehensive study of the rules governing RmInt1 target site recognition based on selection experiments with donor and recipient plasmid libraries, with randomization of the elements of the intron RNA involved in target recognition and the wild-type target site. The data obtained were used to develop a computer algorithm for identifying potential RmInt1 targets in any DNA sequence. Using this algorithm, we modified RmInt1 for the efficient recognition of DNA target sites at different locations in the Sinorhizobium meliloti chromosome. The retargeted RmInt1 integrated efficiently into the chromosome, regardless of the location of the target gene. Our results suggest that RmInt1 could be efficiently adapted for gene targeting.
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