Multiplexing mutation rate assessment: determining pathogenicity of Msh2 variants in Saccharomyces cerevisiae

Author:

Ollodart Anja R12ORCID,Yeh Chiann-Ling C2ORCID,Miller Aaron W2,Shirts Brian H3ORCID,Gordon Adam S4ORCID,Dunham Maitreya J2ORCID

Affiliation:

1. Molecular Cellular Biology Program, University of Washington, Seattle, WA 98195, USA

2. Genome Sciences Department, University of Washington, Seattle, WA 98195, USA

3. Department of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA

4. Department of Pharmacology, Northwestern University, Chicago, IL 60208, USA

Abstract

Abstract Despite the fundamental importance of mutation rate as a driving force in evolution and disease risk, common methods to assay mutation rate are time-consuming and tedious. Established methods such as fluctuation tests and mutation accumulation experiments are low-throughput and often require significant optimization to ensure accuracy. We established a new method to determine the mutation rate of many strains simultaneously by tracking mutation events in a chemostat continuous culture device and applying deep sequencing to link mutations to alleles of a DNA-repair gene. We applied this method to assay the mutation rate of hundreds of Saccharomyces cerevisiae strains carrying mutations in the gene encoding Msh2, a DNA repair enzyme in the mismatch repair pathway. Loss-of-function mutations in MSH2 are associated with hereditary nonpolyposis colorectal cancer, an inherited disorder that increases risk for many different cancers. However, the vast majority of MSH2 variants found in human populations have insufficient evidence to be classified as either pathogenic or benign. We first benchmarked our method against Luria–Delbrück fluctuation tests using a collection of published MSH2 missense variants. Our pooled screen successfully identified previously characterized nonfunctional alleles as high mutators. We then created an additional 185 human missense variants in the yeast ortholog, including both characterized and uncharacterized alleles curated from ClinVar and other clinical testing data. In a set of alleles of known pathogenicity, our assay recapitulated ClinVar’s classification; we then estimated pathogenicity for 157 variants classified as uncertain or conflicting reports of significance. This method is capable of studying the mutation rate of many microbial species and can be applied to problems ranging from the generation of high-fidelity polymerases to measuring the frequency of antibiotic resistance emergence.

Funder

National Cancer Institute of the National Institutes of Health

National Human Genome Research Institute of the NIH

National Science Foundation

National Institute of General Medical Sciences of the NIH

Rita Allen Foundation Scholar and as a Senior Fellow in the Genetic Networks program at the Canadian Institute for Advanced Research

NSF

Publisher

Oxford University Press (OUP)

Subject

Genetics

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