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1.
Bio Protoc ; 12(11)2022 Jun 05.
Article in English | MEDLINE | ID: mdl-35799910

ABSTRACT

Understanding the generation of mutations is fundamental to understanding evolution and genetic disease; however, the rarity of such events makes experimentally identifying them difficult. Mutation accumulation (MA) methods have been widely used. MA lines require serial bottlenecks to fix de novo mutations, followed by whole-genome sequencing. While powerful, this method is not suitable for exploring mutation variation among different genotypes due to its poor scalability with cost and labor. Alternatively, fluctuation assays estimate mutation rate in microorganisms by utilizing a reporter gene, in which Loss-of-function (LOF) mutations can be selected for using drugs toxic to cells containing the WT allele. Traditional fluctuation assays can estimate mutation rates but not their base change compositions. Here, we describe a new protocol that adapts traditional fluctuation assay using CAN1 reporter gene in Saccharomyces cerevisiae , followed by pooled sequencing methods, to identify both the rate and spectra of mutations in different strain backgrounds.

2.
Elife ; 102021 09 15.
Article in English | MEDLINE | ID: mdl-34523420

ABSTRACT

Although studies of Saccharomyces cerevisiae have provided many insights into mutagenesis and DNA repair, most of this work has focused on a few laboratory strains. Much less is known about the phenotypic effects of natural variation within S. cerevisiae's DNA repair pathways. Here, we use natural polymorphisms to detect historical mutation spectrum differences among several wild and domesticated S. cerevisiae strains. To determine whether these differences are likely caused by genetic mutation rate modifiers, we use a modified fluctuation assay with a CAN1 reporter to measure de novo mutation rates and spectra in 16 of the analyzed strains. We measure a 10-fold range of mutation rates and identify two strains with distinctive mutation spectra. These strains, known as AEQ and AAR, come from the panel's 'Mosaic beer' clade and share an enrichment for C > A mutations that is also observed in rare variation segregating throughout the genomes of several Mosaic beer and Mixed origin strains. Both AEQ and AAR are haploid derivatives of the diploid natural isolate CBS 1782, whose rare polymorphisms are enriched for C > A as well, suggesting that the underlying mutator allele is likely active in nature. We use a plasmid complementation test to show that AAR and AEQ share a mutator allele in the DNA repair gene OGG1, which excises 8-oxoguanine lesions that can cause C > A mutations if left unrepaired.


Subject(s)
Genetic Variation , Point Mutation , Saccharomyces cerevisiae/genetics , Alleles , Amino Acid Transport Systems, Basic/genetics , DNA Repair , Diploidy , Genetic Complementation Test , Haploidy , Mutation Rate , Phenotype , Saccharomyces cerevisiae/classification , Saccharomyces cerevisiae Proteins/genetics
3.
Genetics ; 218(2)2021 06 24.
Article in English | MEDLINE | ID: mdl-33848333

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.


Subject(s)
DNA Mutational Analysis/methods , High-Throughput Screening Assays/methods , MutS Homolog 2 Protein/genetics , Saccharomyces cerevisiae Proteins/genetics , Saccharomyces cerevisiae/genetics , DNA, Fungal/genetics , DNA, Fungal/isolation & purification , Drug Resistance, Microbial/genetics , Gene Library , Humans , Mutation Rate , Mutation, Missense
4.
Elife ; 5: e13974, 2016 Mar 15.
Article in English | MEDLINE | ID: mdl-26978794

ABSTRACT

RNA viruses rapidly diversify into quasispecies of related genotypes. This genetic diversity has long been known to facilitate adaptation, but recent studies have suggested that cooperation between variants might also increase population fitness. Here, we demonstrate strong cooperation between two H3N2 influenza variants that differ by a single mutation at residue 151 in neuraminidase, which normally mediates viral exit from host cells. Residue 151 is often annotated as an ambiguous amino acid in sequenced isolates, indicating mixed viral populations. We show that mixed populations grow better than either variant alone in cell culture. Pure populations of either variant generate the other through mutation and then stably maintain a mix of the two genotypes. We suggest that cooperation arises because mixed populations combine one variant's proficiency at cell entry with the other's proficiency at cell exit. Our work demonstrates a specific cooperative interaction between defined variants in a viral quasispecies.


Subject(s)
Genetic Variation , Influenza A Virus, H3N2 Subtype/growth & development , Viral Load , Animals , Dogs , Influenza A Virus, H3N2 Subtype/enzymology , Influenza A Virus, H3N2 Subtype/genetics , Madin Darby Canine Kidney Cells , Mutant Proteins/genetics , Mutation, Missense , Neuraminidase/genetics , Viral Proteins/genetics
5.
PLoS Biol ; 12(1): e1001746, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24409094

ABSTRACT

The majority of Mycobacterium tuberculosis (Mtb) infections are clinically latent, characterized by drug tolerance and little or no bacterial replication. Low oxygen tension is a major host factor inducing bacteriostasis, but the molecular mechanisms driving oxygen-dependent replication are poorly understood. Here, we tested the role of serine/threonine phosphorylation in the Mtb response to altered oxygen status, using an in vitro model of latency (hypoxia) and reactivation (reaeration). Broad kinase inhibition compromised survival of Mtb in reaeration. Activity-based protein profiling and genetic mutation identified PknB as the kinase critical for surviving hypoxia. Mtb replication was highly sensitive to changes in PknB levels in aerated culture, and even more so in hypoxia. A mutant overexpressing PknB specifically in hypoxia showed a 10-fold loss in viability and gross morphological defects in low oxygen conditions. In contrast, chemically reducing PknB activity during hypoxia specifically compromised resumption of growth during reaeration. These data support a model in which PknB activity is reduced to achieve bacteriostasis, and elevated when replication resumes. Together, these data show that phosphosignaling controls replicative transitions associated with latency and reactivation, that PknB is a major regulator of these transitions, and that PknB could provide a highly vulnerable therapeutic target at every step of the Mtb life cycle-active disease, latency, and reactivation.


Subject(s)
Bacterial Proteins/metabolism , Gene Expression Regulation, Bacterial , Mycobacterium tuberculosis/genetics , Oxygen/metabolism , Proto-Oncogene Proteins c-akt/metabolism , Anaerobiosis , Anti-Bacterial Agents/pharmacology , Bacterial Proteins/genetics , Carbazoles/pharmacology , Indole Alkaloids/pharmacology , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/enzymology , Mycobacterium tuberculosis/growth & development , Oxygen/pharmacology , Protein Kinase Inhibitors/pharmacology , Proto-Oncogene Proteins c-akt/genetics , Serine/metabolism , Signal Transduction , Threonine/metabolism
6.
Chem Biol ; 20(1): 123-33, 2013 Jan 24.
Article in English | MEDLINE | ID: mdl-23352146

ABSTRACT

Computational prediction of protein function is frequently error-prone and incomplete. In Mycobacterium tuberculosis (Mtb), ~25% of all genes have no predicted function and are annotated as hypothetical proteins, severely limiting our understanding of Mtb pathogenicity. Here, we utilize a high-throughput quantitative activity-based protein profiling (ABPP) platform to probe, annotate, and validate ATP-binding proteins in Mtb. We experimentally validate prior in silico predictions of >240 proteins and identify 72 hypothetical proteins as ATP binders. ATP interacts with proteins with diverse and unrelated sequences, providing an expanded view of adenosine nucleotide binding in Mtb. Several hypothetical ATP binders are essential or taxonomically limited, suggesting specialized functions in mycobacterial physiology and pathogenicity.


Subject(s)
Adenosine Triphosphate/metabolism , Bacterial Proteins/metabolism , Mycobacterium tuberculosis/metabolism , Proteomics , Tuberculosis/microbiology , Adenosine/metabolism , Amino Acid Sequence , Bacterial Proteins/chemistry , Computer Simulation , Humans , Models, Biological , Molecular Sequence Data , Mycobacterium tuberculosis/chemistry , Protein Binding
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