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Items: 3

1.

Differential paralog divergence modulates evolutionary outcomes in yeast

(Submitter supplied) Evolutionary outcomes depend not only on the selective forces acting upon a species, but also on the genetic background. However, large timescales and uncertain historical selection pressures can make it difficult to discern such important background differences between species. Experimental evolution is one tool to compare evolutionary potential of known genotypes in a controlled environment. Here we utilized a highly reproducible evolutionary adaptation in Saccharomyces cerevisiae to investigate whether experimental evolution of other yeast species would select for similar adaptive mutations. more...
Organism:
Saccharomyces cerevisiae; Saccharomyces bayanus
Type:
Genome variation profiling by array; Genome variation profiling by genome tiling array
6 related Platforms
52 Samples
Download data: GPR, TXT
Series
Accession:
GSE87401
ID:
200087401
2.

A New System for Comparative Functional Genomics of Saccharomyces Yeasts

(Submitter supplied) Whole genome sequencing, particularly in fungi, has progressed at a tremendous rate. More difficult, however, is experimental testing of the inferences about gene function that can be drawn from comparative sequence analysis alone. We present a genome-wide functional characterization of a sequenced but experimentally understudied budding yeast, Saccharomyces bayanus var uvarum (henceforth referred to as S. more...
Organism:
Saccharomyces cerevisiae; Saccharomyces bayanus
Type:
Expression profiling by array; Genome variation profiling by array
8 related Platforms
360 Samples
Download data: GPR
Series
Accession:
GSE47613
ID:
200047613
3.

Systematic planning of genome-scale experiments in poorly studied species.

(Submitter supplied) Genome-scale datasets have been used extensively in model organisms to screen for specific candidates or to predict functions for uncharacterized genes. However, despite the availability of extensive knowledge in model organisms, the planning of genome-scale experiments in poorly studied species is still based on the intuition of experts or heuristic trials. We propose that computational and systematic approaches can be applied to drive the experiment planning process in poorly studied species based on available data and knowledge in closely related model organisms. more...
Organism:
Saccharomyces cerevisiae; Saccharomyces bayanus
Type:
Expression profiling by array
7 related Platforms
343 Samples
Download data: GPR
Series
Accession:
GSE16544
ID:
200016544
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