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1.
Cell Rep ; 37(13): 110186, 2021 12 28.
Article in English | MEDLINE | ID: mdl-34965431

ABSTRACT

Mechanisms have evolved that allow cells to detect signals and generate an appropriate response. The accuracy of these responses relies on the ability of cells to discriminate between signal and noise. How cells filter noise in signaling pathways is not well understood. Here, we analyze noise suppression in the yeast pheromone signaling pathway and show that the poorly characterized protein Kel1 serves as a major noise suppressor and prevents cell death. At the molecular level, Kel1 prevents spontaneous activation of the pheromone response by inhibiting membrane recruitment of Ste5 and Far1. Only a hypophosphorylated form of Kel1 suppresses signaling, reduces noise, and prevents pheromone-associated cell death, and our data indicate that the MAPK Fus3 contributes to Kel1 phosphorylation. Taken together, Kel1 serves as a phospho-regulated suppressor of the pheromone pathway to reduce noise, inhibit spontaneous activation of the pathway, regulate mating efficiency, and prevent pheromone-associated cell death.


Subject(s)
Adaptor Proteins, Signal Transducing/metabolism , Mitogen-Activated Protein Kinases/metabolism , Noise , Pheromones/metabolism , Saccharomyces cerevisiae Proteins/metabolism , Saccharomyces cerevisiae/metabolism , Adaptor Proteins, Signal Transducing/genetics , Cyclin-Dependent Kinase Inhibitor Proteins/genetics , Cyclin-Dependent Kinase Inhibitor Proteins/metabolism , Mitogen-Activated Protein Kinases/genetics , Phosphorylation , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/growth & development , Saccharomyces cerevisiae Proteins/genetics , Signal Transduction
2.
Genome Res ; 28(12): 1867-1881, 2018 12.
Article in English | MEDLINE | ID: mdl-30355601

ABSTRACT

The eukaryotic genome is divided into chromosomal domains of heterochromatin and euchromatin. Transcriptionally silent heterochromatin is found at subtelomeric regions, leading to the telomeric position effect (TPE) in yeast, fly, and human. Heterochromatin generally initiates and spreads from defined loci, and diverse mechanisms prevent the ectopic spread of heterochromatin into euchromatin. Here, we overexpressed the silencing factor Sir3 at varying levels in yeast and found that Sir3 spreads into extended silent domains (ESDs), eventually reaching saturation at subtelomeres. We observed the spread of Sir3 into subtelomeric domains associated with specific histone marks in wild-type cells, and stopping at zones of histone mark transitions including H3K79 trimethylation levels. Our study shows that the conserved H3K79 methyltransferase Dot1 is essential in restricting Sir3 spread beyond ESDs, thus ensuring viability upon overexpression of Sir3. Last, our analyses of published data demonstrate how ESDs unveil uncharacterized discrete domains isolating structural and functional subtelomeric features from the rest of the genome. Our work offers a new approach on how to separate subtelomeres from the core chromosome.


Subject(s)
Heterochromatin/genetics , Telomere/genetics , Cell Survival/genetics , Chromatin Immunoprecipitation , Gene Expression Regulation, Fungal , Gene Silencing , Heterochromatin/metabolism , High-Throughput Nucleotide Sequencing , Histones/metabolism , Humans , Methylation , Nuclear Proteins/metabolism , Sirtuin 3/genetics , Telomere/metabolism , Transcription Factors/metabolism , Yeasts/genetics , Yeasts/metabolism
3.
G3 (Bethesda) ; 6(9): 3003-14, 2016 09 08.
Article in English | MEDLINE | ID: mdl-27371952

ABSTRACT

The capacity to map traits over large cohorts of individuals-phenomics-lags far behind the explosive development in genomics. For microbes, the estimation of growth is the key phenotype because of its link to fitness. We introduce an automated microbial phenomics framework that delivers accurate, precise, and highly resolved growth phenotypes at an unprecedented scale. Advancements were achieved through the introduction of transmissive scanning hardware and software technology, frequent acquisition of exact colony population size measurements, extraction of population growth rates from growth curves, and removal of spatial bias by reference-surface normalization. Our prototype arrangement automatically records and analyzes close to 100,000 growth curves in parallel. We demonstrate the power of the approach by extending and nuancing the known salt-defense biology in baker's yeast. The introduced framework represents a major advance in microbial phenomics by providing high-quality data for extensive cohorts of individuals and generating well-populated and standardized phenomics databases.


Subject(s)
Genomics/methods , Saccharomyces cerevisiae/genetics , Software , Databases, Genetic , Genetic Fitness , Humans , Phenotype , Saccharomyces cerevisiae/growth & development
4.
Chemosphere ; 104: 91-6, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24262822

ABSTRACT

Neonicotinoid insecticides are an important contribution to plant protection products. At the same time, their environmental impact on non-target organisms is often problematic. It has been shown that the toxicity of formulations of neonicotinoid insecticides can originate from non-neonicotinoid additives. In the present study we used chemogenomics to analyse side effects of purified neonicotinoids, additives and formulations on the genome-wide scale. We show that the additives in formulations have more pronounced effects than the active components, and that these effects could explain previously observed negative effects of neonicotinoid insecticides on spermatogenesis in animals. We also demonstrate that cell wall organization and biogenesis in yeast is negatively affected by neonicotinoid substances.


Subject(s)
Genome, Fungal/drug effects , Insecticides/toxicity , Saccharomyces cerevisiae/drug effects , Saccharomyces cerevisiae/genetics , Insecticides/chemistry , Metagenomics/methods , Saccharomyces cerevisiae/cytology
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