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    Validating internal controls for quantitative plant gene expression

    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.

    This weed has evolved resistance to acetyl-coenzyme A carboxylase (ACCase) inhibitors.

    We evaluated the stability of 10 candidates – five traditional housekeeping genes (UBC21, GAPC2, EF-1α4, UBQ10, and UBC10) and five novel genes (SAND1, FBOX, PTB1, ARP, and Expressed1) – using the transcriptome data of Gentiana macrophylla.

    In this study, to find a suitable reference gene and its real-time PCR assay for G.

    macrophylla DNA content quantification, we evaluated three target genes including WRKY30, G10H, and SLS, through qualitative and absolute quantitative PCR with leaves under elicitors stressed experimental 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.

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