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E-GEOD-52786 GSE52786 transcription profiling by array Saccharomyces cerevisiae

Molecular Specificity, Convergence and Constraint Shape Adaptive Evolution in Nutrient-Poor Environments [GE]

·发布 Nov. 28, 2013 ·更新 June 3, 2014
44
样本数
22
实验数
3
芯片平台
实验描述

One of the central goals of evolutionary biology is to explain and predict the molecular basis of adaptive evolution. We studied the evolution of genetic networks in Saccharomyces cerevisiae (budding yeast) populations propagated for more than 200 generations in different nitrogen-limiting conditions. We find that rapid adaptive evolution in nitrogen-poor environments is dominated by the de novo generation and selection of copy number variants (CNVs), a large fraction of which contain genes encoding specific nitrogen transporters including PUT4, DUR3 and DAL4. The large fitness increases associated with these alleles limits the genetic heterogeneity of adapting populations even in environments with multiple nitrogen sources. Complete identification of acquired point mutations, in individual lineages and entire populations, identified heterogeneity at the level of genetic loci but common themes at the level of functional modules, including genes controlling phosphatidylinositol-3-phosphate metabolism and vacuole biogenesis. Adaptive strategies shared with other nutrient-limited environments point to selection of genetic variation in the TORC1 and Ras/PKA signaling pathways as a general mechanism underlying improved growth in nutrient-limited environments. Within a single population we observed the repeated independent selection of a multi-locus genotype, comprised of the functionally related genes GAT1, MEP2 and LST4. By studying the fitness of individual alleles, and their combination, as well as the evolutionary history of the evolving population, we find that the order in which these mutations are acquired is constrained by epistasis. The identification of repeatedly selected variation at functionally related loci that interact epistatically suggests that gene network polymorphisms (GNPs) may be a frequent outcome of adaptive evolution. Our results provide insight into the mechanistic basis by which cells adapt to nutrient-limited environments and suggest that knowledge of the selective environment and the regulatory mechanisms important for growth and survival in that environment greatly increases the predictability of adaptive evolution. mRNA from each evolved clone or from the ancestral strain growing in the specificied nitrogen-limited condition was co-hybridized with mRNA from the ancestral strain grown in ammonium limited media

芯片平台
A-GEOD-9294
Agilent-015072 Yeast Oligo Microarray 4x44K G2519F (Probe Name version)(2 例)
A-MEXP-1440
Agilent Yeast Oligo Microarray (V2) 013384 G4140B(6 例)
A-GEOD-11382
Agilent Yeast Microarray(14 例)
样本属性
limited_source
allantoin, ammonium, arginine, glutamate, glutamine, PROLINE, urea
organism
Saccharomyces cerevisiae
实验信息
登记号
E-GEOD-52786
GEO 编号
GSE52786
实验类型
transcription profiling by array
物种
Saccharomyces cerevisiae
发布日期
Nov. 28, 2013
更新日期
June 3, 2014
提交者
David Gresham、 Jungeui Hong、 Jungeui Hong
分析服务
分析服务

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