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High-throughput genotyping of high-homology mutant mouse strains by next-generation sequencing.

Authors :
Gleeson, Diane
Sethi, Debarati
Platte, Radka
Burvill, Jonathan
Barrett, Daniel
Akhtar, Shaheen
Bruntraeger, Michaela
Bottomley, Joanna
Mouse Genetics Project, Sanger
Bussell, James
Ryder, Edward
Source :
Methods. Jul2021, Vol. 191, p78-86. 9p.
Publication Year :
2021

Abstract

• Next generation sequencing is a scalable solution to genotyping mutant mice. • Ratios of wild type and mutant sequence counts are used to call the genotype. • Hundreds of samples can be multiplexed into one sequencing experiment. • Amplification of high-homology genes can be easily filtered out during analysis. Genotyping of knockout alleles in mice is commonly performed by end-point PCR or gene-specific/universal cassette qPCR. Both have advantages and limitations in terms of assay design and interpretation of results. As an alternative method for high-throughput genotyping, we investigated next generation sequencing (NGS) of PCR amplicons, with a focus on CRISPR-mediated exon deletions where antibiotic selection markers are not present. By multiplexing the wild type and mutant-specific PCR reactions, the genotype can be called by the relative sequence counts of each product. The system is highly scalable and can be applied to a variety of different allele types, including those produced by the International Mouse Phenotyping Consortium and associated projects. One potential challenge with any assay design is locating unique areas of the genome, especially when working with gene families or regions of high homology. These can result in misleading or ambiguous genotypes for either qPCR or end-point assays. Here, we show that genotyping by NGS can negate these issues by simple, automated filtering of undesired sequences. Analysis and genotype calls can also be fully automated, using FASTQ or FASTA input files and an in-house Perl script and SQL database. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10462023
Volume :
191
Database :
Academic Search Index
Journal :
Methods
Publication Type :
Academic Journal
Accession number :
150696500
Full Text :
https://doi.org/10.1016/j.ymeth.2020.10.011