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Population Diversification in a Yeast Metabolic Program Promotes Anticipation of Environmental Shifts
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نویسنده
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venturelli o.s. ,zuleta i. ,murray r.m. ,el-samad h.
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منبع
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plos biology - 2015 - دوره : 13 - شماره : 1
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چکیده
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Delineating the strategies by which cells contend with combinatorial changing environments is crucial for understanding cellular regulatory organization. when presented with two carbon sources,microorganisms first consume the carbon substrate that supports the highest growth rate (e.g.,glucose) and then switch to the secondary carbon source (e.g.,galactose),a paradigm known as the monod model. sequential sugar utilization has been attributed to transcriptional repression of the secondary metabolic pathway,followed by activation of this pathway upon depletion of the preferred carbon source. in this work,we demonstrate that although saccharomyces cerevisiae cells consume glucose before galactose,the galactose regulatory pathway is activated in a fraction of the cell population hours before glucose is fully consumed. this early activation reduces the time required for the population to transition between the two metabolic programs and provides a fitness advantage that might be crucial in competitive environments. © 2015 venturelli et al.
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آدرس
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division of biology and biological engineering,california institute of technology,pasadena,ca,united states,department of biochemistry and biophysics,university of california san francisco,san francisco,ca,united states,the california institute for quantitative biosciences,university of california san francisco,san francisco,ca, United States, department of biochemistry and biophysics,university of california san francisco,san francisco,ca,united states,the california institute for quantitative biosciences,university of california san francisco,san francisco,ca, United States, division of biology and biological engineering,california institute of technology,pasadena,ca, United States, department of biochemistry and biophysics,university of california san francisco,san francisco,ca,united states,the california institute for quantitative biosciences,university of california san francisco,san francisco,ca, United States
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Authors
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