Background: The laboratory rat (Rattus norvegicus) is one of the preferred model organisms in physiological and pharmacological research, although the availability of specific genetic models, especially gene knockouts, is limited. N-ethyl-N-nitrosourea (ENU)-driven target-selected mutagenesis is currently the most successful method in rats, although it is still very laborious and expensive.
Results: As ENU-induced DNA damage is normally recognized by the mismatch repair (MMR) system, we hypothesized that the effectiveness of the target-selected mutagenesis approach could be improved by using a MMR-deficient genetic background. Indeed, Msh6 knockout rats were found to be more sensitive to ENU treatment and the germ line mutation rate was boosted more than two-fold to 1 mutation per 585 kb. In addition, the molecular mutation spectrum was found to be changed in favor of generating knockout-type alleles by approximately 20%, resulting in an overall increase in efficiency of approximately 2.5 fold. The improved effectiveness was demonstrated by high throughput mutation discovery in 70 Mb of sequence in a set of only 310 mutant F1 rats. This resulted in the identification of 89 mutations of which four introduced a premature stopcodon and 64 resulted in amino acid changes.
Conclusion: Taken together, we show that the use of a MMR-deficient background considerably improves ENU-driven target-selected mutagenesis in the rat, thereby reducing animal use as well as screening costs. The use of a mismatch repair-deficient genetic background for improving mutagenesis and target-selected knockout efficiency is in principle applicable to any organism of interest.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2567347 | PMC |
http://dx.doi.org/10.1186/1471-2164-9-460 | DOI Listing |
PLoS One
July 2024
Arcadia Biosciences, Davis, California, United States of America.
Glyphosate (N-phosphonomethyl-glycine) is the world's most widely used broad spectrum, post-emergence herbicide. It inhibits the chloroplast-targeted enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS; EC 2.5.
View Article and Find Full Text PDFAppl Microbiol Biotechnol
December 2015
Department of Environmental Life Sciences, Graduate School of Life Sciences, Tohoku University, 2-1-1 Katahira, Sendai, 980-8577, Japan.
Haloalkane dehalogenases (HLDs) convert halogenated compounds to corresponding alcohols, halides, and protons. They belong to α/β-hydrolases, and their principal catalytic mechanism is SN2 nucleophilic substitution followed by the addition of water. Since HLDs generally have broad and different substrate specificities, they have various biotechnological applications.
View Article and Find Full Text PDFWormBook
January 2014
Laboratory of Developmental Genetics, The Rockefeller University, New York NY 10065, USA.
Mutagenesis drives natural selection. In the lab, mutations allow gene function to be deciphered. C.
View Article and Find Full Text PDFJ Immunol
January 2012
Global Biotherapeutics Technologies, Pfizer, Cambridge, MA 02140, USA.
Examination of 1269 unique naive chicken V(H) sequences showed that the majority of positions in the framework (FW) regions were maintained as germline, with high mutation rates observed in the CDRs. Many FW mutations could be clearly related to the modulation of CDR structure or the V(H)-V(L) interface. CDRs 1 and 2 of the V(H) exhibited frequent mutation in solvent-exposed positions, but conservation of common structural residues also found in human CDRs at the same positions.
View Article and Find Full Text PDFMethods Cell Biol
January 2012
Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
There is an increasing requirement for efficient reverse genetics in the zebrafish, Here we describe a method that takes advantage of conventional mutagenized libraries (identical to ones used in forward screens) and re-sequencing to identify ENU-induced mutations in genes of interest. The efficiency of TILLING (Targeting Induced Local Legions IN Genomes) depends on the rate of mutagenesis in the library being screened, the amount of base pairs screened, and the ability to effectively identify and retrieve mutations on interest. Here we show that by improving the mutagenesis protocol, using in silico methods to predict codon changes for target selection, efficient PCR and re-sequencing, and accurate mutation detection we can vastly improve current TILLING protocols.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!