Selection of reference genes for real-time expression studies in Streptococcus agalactiae

Streptococcus agalactiae, group B streptococci (GBS) is the leading cause of severe bacterial infections in newborns. GBS expression studies allowed the identification and characterization of virulence factors and a better understanding of the host–pathogen–environment interactions. The measurement...

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Published inJournal of microbiological methods Vol. 90; no. 3; pp. 220 - 227
Main Authors Florindo, C., Ferreira, R., Borges, V., Spellerberg, B., Gomes, J.P., Borrego, M.J.
Format Journal Article
LanguageEnglish
Published Amsterdam Elsevier B.V 01.09.2012
Elsevier
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Abstract Streptococcus agalactiae, group B streptococci (GBS) is the leading cause of severe bacterial infections in newborns. GBS expression studies allowed the identification and characterization of virulence factors and a better understanding of the host–pathogen–environment interactions. The measurement of transcript levels by quantitative real‐time PCR (qRT-PCR) is a widely used technique in GBS; however, a systematic evaluation and validation of reference gene stability for normalization purposes in GBS expression studies is currently lacking. Therefore, we analyzed the stability of 10 candidate reference genes (16SrRNA, glcK, glnA, groEL, gyrA, recA, rpoB, rpsL, sdhA and tkt) in three GBS prototype strains (O90R, NEM316 and 2603V/R) grown at different temperature conditions (37°C and 40°C). Our approach was based on the calibration of transcript levels from each gene against the number of bacteria from the same sample (ratio messenger RNA/genomic DNA). As a complementary analysis, reference gene stability was also investigated through the bioinformatic applications, geNorm and NormFinder. Considering the whole GBS development cycle, only a minority of genes were stable under both growth conditions, but this number increased when restricting the analysis to the logarithmic time-points. The range of stable genes was higher at 37°C, where recA and sdhA were stable simultaneously for the three strains, and six out of 10 genes were stable for at least two strains. At 40°C, recA showed up again as one of the best options, suggesting its potential use as reference gene in future qRT-PCR studies. The results generated with geNorm and NormFinder were consistent with those obtained experimentally and evidenced minor variations either among strains or temperature conditions. In conclusion, the fluctuation of expression of reference genes observed among different GBS strains and growth conditions highlights the importance of carefully validating, for each experimental scenario, the use of reference genes for qRT-PCR normalization purposes. Nevertheless, recA seems to be a good candidate for such optimizations. ► The stability of 10 reference genes was evaluated under different conditions. ► The candidate reference genes displayed different expression profiles. ► Gene expression stability was dependent on the strain, growth phase and conditions. ► geNorm and NormFinder results were consistent with those obtained experimentally.
AbstractList Streptococcus agalactiae, group B streptococci (GBS) is the leading cause of severe bacterial infections in newborns. GBS expression studies allowed the identification and characterization of virulence factors and a better understanding of the host–pathogen–environment interactions. The measurement of transcript levels by quantitative real‐time PCR (qRT-PCR) is a widely used technique in GBS; however, a systematic evaluation and validation of reference gene stability for normalization purposes in GBS expression studies is currently lacking. Therefore, we analyzed the stability of 10 candidate reference genes (16SrRNA, glcK, glnA, groEL, gyrA, recA, rpoB, rpsL, sdhA and tkt) in three GBS prototype strains (O90R, NEM316 and 2603V/R) grown at different temperature conditions (37°C and 40°C). Our approach was based on the calibration of transcript levels from each gene against the number of bacteria from the same sample (ratio messenger RNA/genomic DNA). As a complementary analysis, reference gene stability was also investigated through the bioinformatic applications, geNorm and NormFinder. Considering the whole GBS development cycle, only a minority of genes were stable under both growth conditions, but this number increased when restricting the analysis to the logarithmic time-points. The range of stable genes was higher at 37°C, where recA and sdhA were stable simultaneously for the three strains, and six out of 10 genes were stable for at least two strains. At 40°C, recA showed up again as one of the best options, suggesting its potential use as reference gene in future qRT-PCR studies. The results generated with geNorm and NormFinder were consistent with those obtained experimentally and evidenced minor variations either among strains or temperature conditions. In conclusion, the fluctuation of expression of reference genes observed among different GBS strains and growth conditions highlights the importance of carefully validating, for each experimental scenario, the use of reference genes for qRT-PCR normalization purposes. Nevertheless, recA seems to be a good candidate for such optimizations.
Streptococcus agalactiae, group B streptococci (GBS) is the leading cause of severe bacterial infections in newborns. GBS expression studies allowed the identification and characterization of virulence factors and a better understanding of the host–pathogen–environment interactions. The measurement of transcript levels by quantitative real‐time PCR (qRT-PCR) is a widely used technique in GBS; however, a systematic evaluation and validation of reference gene stability for normalization purposes in GBS expression studies is currently lacking. Therefore, we analyzed the stability of 10 candidate reference genes (16SrRNA, glcK, glnA, groEL, gyrA, recA, rpoB, rpsL, sdhA and tkt) in three GBS prototype strains (O90R, NEM316 and 2603V/R) grown at different temperature conditions (37°C and 40°C). Our approach was based on the calibration of transcript levels from each gene against the number of bacteria from the same sample (ratio messenger RNA/genomic DNA). As a complementary analysis, reference gene stability was also investigated through the bioinformatic applications, geNorm and NormFinder. Considering the whole GBS development cycle, only a minority of genes were stable under both growth conditions, but this number increased when restricting the analysis to the logarithmic time-points. The range of stable genes was higher at 37°C, where recA and sdhA were stable simultaneously for the three strains, and six out of 10 genes were stable for at least two strains. At 40°C, recA showed up again as one of the best options, suggesting its potential use as reference gene in future qRT-PCR studies. The results generated with geNorm and NormFinder were consistent with those obtained experimentally and evidenced minor variations either among strains or temperature conditions. In conclusion, the fluctuation of expression of reference genes observed among different GBS strains and growth conditions highlights the importance of carefully validating, for each experimental scenario, the use of reference genes for qRT-PCR normalization purposes. Nevertheless, recA seems to be a good candidate for such optimizations. ► The stability of 10 reference genes was evaluated under different conditions. ► The candidate reference genes displayed different expression profiles. ► Gene expression stability was dependent on the strain, growth phase and conditions. ► geNorm and NormFinder results were consistent with those obtained experimentally.
Author Borges, V.
Spellerberg, B.
Borrego, M.J.
Florindo, C.
Ferreira, R.
Gomes, J.P.
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Issue 3
Keywords Normalization
Streptococcus agalactiae
Gene expression
Reference genes
Streptococcaceae
Gene
Bacteria
Micrococcales
Real time
Language English
License CC BY 4.0
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Snippet Streptococcus agalactiae, group B streptococci (GBS) is the leading cause of severe bacterial infections in newborns. GBS expression studies allowed the...
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SubjectTerms bacteria
bacterial infections
Bacteriological methods and techniques used in bacteriology
Bacteriology
bioinformatics
Biological and medical sciences
Calibration
DNA
Fundamental and applied biological sciences. Psychology
Gene Expression
Gene Expression Regulation, Bacterial
genes
Genes, Bacterial
messenger RNA
Microbiology
neonates
Normalization
quantitative polymerase chain reaction
Real-Time Polymerase Chain Reaction - standards
Reference genes
Reference Standards
Reproducibility of Results
reverse transcriptase polymerase chain reaction
Reverse Transcriptase Polymerase Chain Reaction - standards
RNA, Bacterial - genetics
RNA, Bacterial - isolation & purification
Streptococcus agalactiae
Streptococcus agalactiae - genetics
Streptococcus agalactiae - growth & development
temperature
Transcriptome
virulence
Title Selection of reference genes for real-time expression studies in Streptococcus agalactiae
URI https://dx.doi.org/10.1016/j.mimet.2012.05.011
https://www.ncbi.nlm.nih.gov/pubmed/22634000
https://search.proquest.com/docview/1027833326
Volume 90
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