Article
Microarray and bioinformatic analyses suggest models for carbon metabolism in the autotroph Acidithiobacillus ferrooxidans
Laboratoire de Chimie Bactérienne, IBSM, CNRS, Marseille, France; Andrés Bello University and Millennium Institute for Fundamental and Applied Biology, Santiago, Chile; University of Illinois, Chicago, USA; Idaho National Laboratory, Idaho Falls, USA; University of Santiago, Santiago, Chile; ICBM, Faculty of Medicine, University of Chile, Santiago, Chile
Hydrometallurgy
DOI:10.1016/j.hydromet.2006.03.029
pp.273-280
-
Citations (0)
- Cited In (1)
-
Article: Selection and evaluation of reference genes for improved interrogation of microbial transcriptomes: case study with the extremophile Acidithiobacillus ferrooxidans.
[show abstract] [hide abstract]
ABSTRACT: Normalization is a prerequisite for accurate real time PCR (qPCR) expression analysis and for the validation of microarray profiling data in microbial systems. The choice and use of reference genes that are stably expressed across samples, experimental conditions and designs is a key consideration for the accurate interpretation of gene expression data. Here, we evaluate a carefully selected set of reference genes derived from previous microarray-based transcriptional profiling experiments performed on Acidithiobacillus ferrooxidans and identify a set of genes with minimal variability under five different experimental conditions that are frequently used in Acidithiobacilli research. Suitability of these and other previously reported reference genes to monitor the expression of four selected target genes from A. ferrooxidans grown with different energy sources was investigated. Utilization of reference genes map, rpoC, alaS and era results in improved interpretation of gene expression profiles in A. ferrooxidans. This investigation provides a validated set of reference genes for studying A. ferrooxidans gene expression under typical biological conditions and an initial point of departure for exploring new experimental setups in this microorganism and eventually in other closely related Acidithiobacilli. The information could also be of value for future transcriptomic experiments in other bacterial systems.BMC Molecular Biology 07/2009; 10:63. · 2.86 Impact Factor
Data provided are for informational purposes only. Although carefully collected, accuracy cannot be guaranteed.
The impact factor represents a rough estimation of the journal's impact factor and does not reflect the actual
current impact factor.
Publisher conditions are provided by RoMEO. Differing provisions from the publisher's actual policy or licence
agreement may be applicable.
Keywords
A. ferrooxidans
A. ferrooxidans draft genome sequence
above-predicted pathways
Acidithiobacillus ferrooxidans
central carbon management
chemolithoautotrophic bacterium
Clusters exhibited differential gene expression
discrete clusters
electron source
gene expression
gene expression patterns
gene regulation
glycogen biosynthesis
iron medium
Microarray transcript profiling
potential metabolic pathways
putative genes
real-time PCR
relative expression
sulfur medium