Dataset for transcriptome analysis of Salmonella enterica subsp. enterica serovar Typhimurium strain 14028S response to starvation

Data in Brief
Natalia E GogolevaYuri V Gogolev

Abstract

Salmonella enterica is an ubiquitous pathogen throughout the world causing gastroenteritis in humans and animals. Survival of pathogenic bacteria in the external environment may be associated with the ability to overcome the stress caused by starvation. The bacterial response to starvation is well understood in laboratory cultures with a sufficiently high cell density. However, bacterial populations often have a small size when facing this challenge in natural biotopes. The aim of this work was to find out if there are differences in the transcriptomes of S. enterica depending on the factor of cell density during starvation. Here we present transcriptome data of Salmonella enterica subsp. enterica serovar Typhimurium str. 14028S grown in carbon rich or carbon deficient medium with high or low cell density. These data will help identify genes involved in adaptation of low-density bacterial populations to starvation conditions.

References

Mar 6, 2012·Nature Methods·Ben Langmead, Steven L Salzberg
Oct 17, 2012·Bioinformatics·Evguenia KopylovaHélène Touzet
Nov 22, 2012·Molecular Systems Biology·Yu TanouchiLingchong You
Apr 4, 2014·Bioinformatics·Anthony M BolgerBjoern Usadel
Dec 18, 2014·Genome Biology·Michael I LoveSimon Anders
Dec 18, 2019·Genome Biology·Sam KovakaMihaela Pertea

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Datasets Mentioned

BETA
PRJNA554270

Methods Mentioned

BETA
RNA-seq

Software Mentioned

py
Trimmomatic
Bowtie2
prepDE
FastQC
Stringtie
FASTQ
TopHat
DESeq2

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