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Systematic validation of candidate reference genes for qRT-PCR normalization under iron deficiency in Arabidopsis.

Abstract
A reliable result obtained by qRT-PCR highly depends on accurate transcript normalization using stably expressed reference genes. However, the transcript levels of traditional reference genes are not always stable. Also, the inaccurate normalization could easily lead to the false conclusions. In this report, by using geNorm and NormFinder algorithms, 12 candidate reference genes were evaluated in Arabidopsis under iron deficiency. Our results revealed that three novel reference genes (SAND, YLS8 and TIP41-like) were identified and validated as suitable reference genes for qRT-PCR normalization in both iron deprivation (the addition of Ferrozine to the medium) and starvation (withdrawal of iron from the medium) conditions. This conclusion was also confirmed by publicly available microarray data. In addition, when using SAND, YLS8 and TIP41-like as multiple reference genes, the expression patterns of FIT1 and IRT1, two iron deficiency marker genes, were approximately similar with that reported previously. However, a weaker inducible response was obtained from qRT-PCR by normalizating EF-1α alone. Together, we proposed that the combination of SAND, YLS8 and TIP41-like can be used for accurate normalization of gene expression in iron deficiency research. These results provide a valuable evidence for the importance of adequate reference genes in qRT-PCR normalization, insisting on the use of appropriate reference gene validation in all transcriptional analyses.
AuthorsBin Han, Zheng Yang, Muhammad Kaleem Samma, Ren Wang, Wenbiao Shen
JournalBiometals : an international journal on the role of metal ions in biology, biochemistry, and medicine (Biometals) Vol. 26 Issue 3 Pg. 403-13 (Jun 2013) ISSN: 1572-8773 [Electronic] Netherlands
PMID23547009 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Arabidopsis (genetics)
  • Gene Expression Profiling
  • Genes, Plant (genetics)
  • Iron Deficiencies
  • Reverse Transcriptase Polymerase Chain Reaction

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