Genetic mapping of MAPK-mediated complex traits Across S. cerevisiae

Signaling pathways enable cells to sense and respond to their environment. Many cellular signaling strategies are conserved from fungi to humans, yet their activity and phenotypic consequences can vary extensively among individuals within a species. A systematic assessment of the impact of naturally...

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Bibliographic Details
Published in:PLoS genetics 2015-01, Vol.11 (1), p.e1004913-e1004913
Main Authors: Treusch, Sebastian, Albert, Frank W, Bloom, Joshua S, Kotenko, Iulia E, Kruglyak, Leonid
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Chromosome Mapping
Confidence intervals
Gene expression
Genetic aspects
Genomics
Genotype
Identification and classification
Kinases
Mitogen-Activated Protein Kinase Kinases - genetics
Mitogen-activated protein kinases
Phenotype
Physiological aspects
Plasmids
Polymorphism, Single Nucleotide
Quantitative trait loci
Quantitative Trait Loci - genetics
Saccharomyces cerevisiae
Signal Transduction - genetics
Studies
Transcription factors
Yeast
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Summary:Signaling pathways enable cells to sense and respond to their environment. Many cellular signaling strategies are conserved from fungi to humans, yet their activity and phenotypic consequences can vary extensively among individuals within a species. A systematic assessment of the impact of naturally occurring genetic variation on signaling pathways remains to be conducted. In S. cerevisiae, both response and resistance to stressors that activate signaling pathways differ between diverse isolates. Here, we present a quantitative trait locus (QTL) mapping approach that enables us to identify genetic variants underlying such phenotypic differences across the genetic and phenotypic diversity of S. cerevisiae. Using a Round-robin cross between twelve diverse strains, we identified QTL that influence phenotypes critically dependent on MAPK signaling cascades. Genetic variants under these QTL fall within MAPK signaling networks themselves as well as other interconnected signaling pathways. Finally, we demonstrate how the mapping results from multiple strain background can be leveraged to narrow the search space of causal genetic variants.
ISSN:1553-7404
1553-7390
1553-7404
DOI:10.1371/journal.pgen.1004913