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SRX1746459: Y9.RNAseq
1 ILLUMINA (Illumina Genome Analyzer II) run: 60.3M spots, 3.1G bases, 1.8Gb downloads

Design: Total RNA was extracted from each population using RiboPure-Yeast Kit (Ambion) and treated with DNase I to remove any contaminant DNA. Extraction of mRNA was carried out using MicroPoly(A)Purist Kit (Ambion) and 200 ng of the resulting mRNA sample was fragmented (Fragmentation Buffer, NEB) before ethanol precipitation. First strand cDNA synthesis was performed using random hexamer priming (Superscript II, Invitrogen), followed by second strand cDNA synthesis (Invitrogen) as recommended by the manufacturer. End repair, A-tailing, and ligation of the Illumina adapters necessary for sequencing were then carried out using the NEBnext mRNA sample preparation kit (NEB). Libraries were then size-selected by agarose gel electrophoresis followed by gel extraction such that libraries consisted of fragments containing inserts of approximately 250 bp in length. Polymerase-chain-reaction amplification was performed for 15 cycles using NEBnext mRNA sample preparation kit, before single-end sequencing on the Illumina GAII platform was performed at the University of Michigan Sequencing Core.
Submitted by: University of Michigan
Study: Intra- and inter-specific variations of gene expression levels in yeast are largely neutral
show Abstracthide Abstract
It is commonly, although not universally, accepted that most intra- and inter-specific genome sequence variations are more or less neutral, whereas a large fraction of organism-level phenotypic variations are adaptive. Gene expression levels are molecular phenotypes that bridge the gap between genotypes and corresponding organism-level phenotypes. Yet, it is unknown whether natural variations in gene expression levels are mostly neutral or adaptive. Here we address this fundamental question by genome-wide profiling and comparison of gene expression levels in nine yeast strains belonging to three closely related Saccharomyces species and originating from five different ecological environments. This study has profound implications for understanding the driving force of gene expression evolution, genetic basis of phenotypic adaptation, and general role of stochasticity in evolution.
Sample:
SAMN04961135 • SRS1425153 • All experiments • All runs
Library:
Name: Y9.RNAseq
Instrument: Illumina Genome Analyzer II
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: SINGLE
Runs: 1 run, 60.3M spots, 3.1G bases, 1.8Gb
Run# of Spots# of BasesSizePublished
SRR348165460,281,7503.1G1.8Gb2017-07-03

ID:
2504255

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