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Title: Tracking the dynamics and diversity of segmental amplification in evolving populations of Saccharomyces cerevisiae      
dateReleased:
09-25-2013
description:
Population adaptation to strong selection can occur through the sequential or parallel accumulation of competing beneficial mutations. The dynamics, diversity and rate of fixation of beneficial mutations within and between populations are still poorly understood. To study the changes in the mutational landscape across populations during adaptation, we performed experimental evolutions on seven parallel populations of Saccharomyces cerevisiae continuously cultured in limiting sulfate medium. By combining qPCR, array CGH, restriction, digestion and CHEF gels, and whole genome sequencing, we followed the trajectory of evolution to determine the identity and fate of beneficial mutations. Over a period of 200 generations, the yeast populations displayed parallel evolutionary dynamics that are driven by the coexistence of independent beneficial mutations. Segmental amplifications are rapidly gained under this selective pressure, including, common inverted amplifications containing the sulfate transporter gene SUL1. Detailed analysis of the populations uncovers a deep complexity where by multiple subpopulations arise and compete with each another. The most common trajectories to adaptation in these populations are incomplete soft sweeps, with adaptive variants replacing one another. These are CGH arrays. Each experiment compares the DNA content of an experimentally evolved strain with its ancestor.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-47854
refinement:
raw
alternateIdentifiers:
47854
keywords:
functional genomics
dateModified:
06-03-2014
availability:
available
types:
gene expression
name:
Saccharomyces cerevisiae
ID:
A-MEXP-1113
name:
Agilent Yeast Whole Genome ChIP-on-Chip Microarray 4x44K 014810 G4493A
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-47854/E-GEOD-47854.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-47854/E-GEOD-47854.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE47854
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress
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