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Validating internal controls for quantitative plant gene expression

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Common statistical algorithms ΔC, Ge Norm, Norm Finder, and Best Keeper were run with samples collected from plants under various experimental conditions. Novel reference genes for quantifying transcriptional responses of Escherichia coli to protein overexpression by quantitative PCR.

For normalizing expression levels from tissues at different developmental stages, GAPC2 and UBC21 had the highest rankings. doi: 10.1002/bit.20347 Pub Med Abstract | Cross Ref Full Text | Google Scholar Zhou, K., Zhou, L., Lim, Q., Zou, R., Stephanopoulos, G., and Too, H.

aralocaspica under different experimental conditions was evaluated.

Three analytical programs, ge Norm, Norm Finder and Best Keeper, were used to assess and rank the stability of reference gene expression.

Arbitrary use of reference genes without previous evaluation can lead to a misinterpretation of the data.

Br.] a widely used grain and forage crop, is grown in areas frequented with one or more abiotic stresses, has superior drought and heat tolerance and considered a model crop for stress tolerance studies.

validating internal controls for quantitative plant gene expression-73

For attribution, the original author(s), title, publication source (Peer J) and either DOI or URL of the article must be cited.The study can further facilitate fastidious discovery of stress-tolerance genes in this important stress-tolerant crop.Plants being sessile in nature are forced to thrive in adverse environmental conditions.Herbicide-resistant weeds pose a considerable threat to agriculture, but their resistance mechanisms are poorly understood.Differential gene expression analysis of a weed subjected to herbicide treatment is a key step toward more mechanistic studies.In this study, to find a suitable reference gene and its real-time PCR assay for G.