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    Quantifying Condition-Dependent Intracellular Protein Levels Enables High-Precision Fitness Estimates

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    Quantifying condition-dependent ...
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    Genre
    Journal Article
    Date
    2013-09-25
    Author
    Geiler-Samerotte, KA
    Hashimoto, T
    Dion, MF
    Budnik, BA
    Airoldi, EM
    Drummond, DA
    Subject
    Fungal Proteins
    Genetic Fitness
    Likelihood Functions
    Proteomics
    Saccharomycetales
    Selection, Genetic
    Transcriptome
    Permanent link to this record
    http://hdl.handle.net/20.500.12613/5367
    
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    DOI
    10.1371/journal.pone.0075320
    Abstract
    Countless studies monitor the growth rate of microbial populations as a measure of fitness. However, an enormous gap separates growth-rate differences measurable in the laboratory from those that natural selection can distinguish efficiently. Taking advantage of the recent discovery that transcript and protein levels in budding yeast closely track growth rate, we explore the possibility that growth rate can be more sensitively inferred by monitoring the proteomic response to growth, rather than growth itself. We find a set of proteins whose levels, in aggregate, enable prediction of growth rate to a higher precision than direct measurements. However, we find little overlap between these proteins and those that closely track growth rate in other studies. These results suggest that, in yeast, the pathways that set the pace of cell division can differ depending on the growth-altering stimulus. Still, with proper validation, protein measurements can provide high-precision growth estimates that allow extension of phenotypic growth-based assays closer to the limits of evolutionary selection. © 2013 Geiler-Samerotte et al.
    Citation to related work
    Public Library of Science (PLoS)
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    PLoS ONE
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    ae974a485f413a2113503eed53cd6c53
    http://dx.doi.org/10.34944/dspace/5349
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