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Genome-Wide Identification and Testing of Superior Reference Genes for Transcript Normalization in Arabidopsis

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TLDR
Hundreds of Arabidopsis genes were found that outperform traditional reference genes in terms of expression stability throughout development and under a range of environmental conditions, and the developed PCR primers or hybridization probes for the novel reference genes will enable better normalization and quantification of transcript levels inArabidopsis in the future.
Abstract
Gene transcripts with invariant abundance during development and in the face of environmental stimuli are essential reference points for accurate gene expression analyses, such as RNA gel-blot analysis or quantitative reverse transcription-polymerase chain reaction (PCR). An exceptionally large set of data from Affymetrix ATH1 whole-genome GeneChip studies provided the means to identify a new generation of reference genes with very stable expression levels in the model plant species Arabidopsis (Arabidopsis thaliana). Hundreds of Arabidopsis genes were found that outperform traditional reference genes in terms of expression stability throughout development and under a range of environmental conditions. Most of these were expressed at much lower levels than traditional reference genes, making them very suitable for normalization of gene expression over a wide range of transcript levels. Specific and efficient primers were developed for 22 genes and tested on a diverse set of 20 cDNA samples. Quantitative reverse transcription-PCR confirmed superior expression stability and lower absolute expression levels for many of these genes, including genes encoding a protein phosphatase 2A subunit, a coatomer subunit, and an ubiquitin-conjugating enzyme. The developed PCR primers or hybridization probes for the novel reference genes will enable better normalization and quantification of transcript levels in Arabidopsis in the future.

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Validation of housekeeping genes as internal control for studying gene expression in rice by quantitative real-time PCR

TL;DR: The expression of UBQ5 and eEF-1alpha was most stable across all the tissue samples examined, however, 18S and 25S rRNA exhibited most stable expression in plants grown under various environmental conditions.
Journal ArticleDOI

PHO2, MicroRNA399, and PHR1 Define a Phosphate-Signaling Pathway in Plants

TL;DR: It is shown here that miR399 primary transcripts are also strongly induced by low Pi and rapidly repressed after addition of Pi, which placesmiR399 and PHO2 in a branch of the Pi-signaling network downstream of PHR1.
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Coordination of carbon supply and plant growth

TL;DR: Evidence is described for the existence of regulatory mechanisms that coordinate carbon supply and use, and the likely central role of sugar signalling is described, and both 'acute' and 'acclimatory' responses to alterations in carbon supply are proposed.
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Transcriptional Regulation of ROS Controls Transition from Proliferation to Differentiation in the Root

TL;DR: Comparison to ROS-regulated growth control in animals suggests that a similar mechanism is used in plants and animals.
Journal ArticleDOI

LEA (Late Embryogenesis Abundant) proteins and their encoding genes in Arabidopsis thaliana

TL;DR: A genome-wide analysis of LEA proteins and their encoding genes in Arabidopsis thaliana indicates a wide range of sequence diversity, intracellular localizations, and expression patterns and indicates that they confer an evolutionary advantage for an organism under varying stressful environmental conditions.
References
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Journal ArticleDOI

A revised medium for rapid growth and bio assays with tobacco tissue cultures

TL;DR: In vivo redox biosensing resolves the spatiotemporal dynamics of compartmental responses to local ROS generation and provide a basis for understanding how compartment-specific redox dynamics may operate in retrograde signaling and stress 67 acclimation in plants.
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A new mathematical model for relative quantification in real-time RT-PCR.

TL;DR: This study enters into the particular topics of the relative quantification in real-time RT-PCR of a target gene transcript in comparison to a reference gene transcript and presents a new mathematical model that needs no calibration curve.
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Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

TL;DR: The normalization strategy presented here is a prerequisite for accurate RT-PCR expression profiling, which opens up the possibility of studying the biological relevance of small expression differences.
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A comparison of normalization methods for high density oligonucleotide array data based on variance and bias

TL;DR: Three methods of performing normalization at the probe intensity level are presented: a one number scaling based algorithm and a method that uses a non-linear normalizing relation by comparing the variability and bias of an expression measure and the simplest and quickest complete data method is found to perform favorably.
Journal ArticleDOI

Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets

TL;DR: A novel, innovative, and robust strategy to identify stably expressed genes among a set of candidate normalization genes, rooted in a mathematical model of gene expression, that provides a direct measure for the estimated expression variation, enabling the user to evaluate the systematic error introduced when using the gene.
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