Selection of reference genes for expression studies in Cicer arietinum L.: analysis of cyp81E3 gene expression against Ascochyta rabiei

Normalisation to a reference gene is the most common method of internally controlling for error in quantitative PCR (qPCR) experiments. Studies based on qPCR in chickpea have been carried out using potential reference genes exclusively. Inappropriate normalisation may result in the acquisition of biologically irrelevant data. We have tested the expression of 12 candidate internal control genes in 36 samples representing different organs/developmental stages, genotypes and stress conditions. The most stably expressed genes were PUBQ, GAPDH, UBQ and bHLH, whereas 18S rRNA and EF-1a showed considerable regulation. The most suitable combination of reference genes for the particular experimental sets tested is provided. To illustrate the use of chickpea reference genes, we checked the expression of a putative defence gene in two different genotypes infected with Ascochyta rabiei (Pass.) Lab. The set of reference genes presented here will enable the more accurate and reliable normalisation of qPCR results for gene expression studies in this important legume crop. Our findings can be used as a starting point for reference gene selection in experimental conditions different from those tested here.     

Drought‐inducible changes in the histone modification H3K9ac are associated with drought‐responsive gene expression in Brachypodium distachyon

• H3K9ac, an epigenetic marker, is widely distributed in plant genomes. H3K9ac enhances gene expression, which is highly conserved in eukaryotes. However, genome‐wide studies of H3K9ac in monocot species are limited, and the changes in H3K9ac under drought stress for individual genes are still not clear.
• We analysed changes in the H3K9ac level of Brachypodium distachyon under 20% PEG‐6000‐simulated drought stress conditions. We also performed chromatin immunoprecipitation, followed by next generation sequencing (ChIP‐seq) on H3K9ac to reveal changes in H3K9ac for individual genes at the genome‐wide level.
• Our study showed that H3K9ac was mainly enriched in gene exon regions. Drought increased or decreased the H3K9ac level at specific genomic loci. We identified 40 genes associated with increased H3K9ac levels and 36 genes associated with decreased H3K9ac levels under drought stress. Further, RT‐qPCR analyses showed that H3K9ac was positively associated with gene expression of those drought‐responsive genes.
• We conclude that H3K9ac enhances the expression level of a large number of drought‐responsive genes under drought stress in B. distachyon. The data presented here will help to reveal the correlation of some specific drought‐responsive genes and their enriched H3K9ac levels in the model plant B. distachyon.

     

Genotype‐dependent regulation of vitamin E biosynthesis in olive fruits as revealed through metabolic and transcriptional profiles

• Vitamin E is a general term used to describe a group of eight lipophilic compounds known as tocochromanols. These vitamin E variants are chemically categorised into two classes formed by α‐, β‐, γ‐ and δ‐ tocopherols and tocotrienols isoforms, respectively.
• The present study describes the concurrent regulation of genes and metabolites orchestrating vitamin E biosynthesis in olive drupes of five distinctive Greek olive cultivars. A combination of analytical, biochemical and molecular approaches was employed in order to carry out comparative analyses, including real‐time RT‐qPCR for gene expression levels and HPLC analysis of metabolite content.
• Findings indicated that tocochromanol levels and composition, oil content, gene expression levels as well as total antioxidant activity were highly dependent on cultivar and, to a lesser extent, on fruit developmental stage. Specifically, cultivars ‘Kalokairida’ and ‘Lianolia Kerkyras’ demonstrated the highest vitamin E content. The latter possessed high tocochromanol content combined with highest overall antioxidant activity in all developmental stages, concomitant with the up‐regulation expression profile of HPPD.
• The genotypic imprint versus the temporal contribution to vitamin E levels, as well as the potential link to lipid peroxidation amelioration, are discussed.

     

Evaluation of coffee reference genes for relative expression studies by quantitative real-time RT-PCR

Accuracy in quantitative real-time polymerase chain reaction (qPCR) requires the use of stable endogenous controls. Normalization with multiple reference genes is the gold standard, but their identification is a laborious task, especially in species with limited sequence information. Coffee (Coffea ssp.) is an important agricultural commodity and, due to its economic relevance, is the subject of increasing research in genetics and biotechnology, in which gene expression analysis is one of the most important fields. Notwithstanding, relatively few works have focused on the analysis of gene expression in coffee. Moreover, most of these works have used less accurate techniques such as northern blot assays instead of more accurate techniques (e.g., qPCR) that have already been extensively used in other plant species. Aiming to boost the use of qPCR in studies of gene expression in coffee, we uncovered reference genes to be used in a number of different experimental conditions. Using two distinct algorithms implemented by geNorm and Norm Finder, we evaluated a total of eight candidate reference genes (psaB, PP2A, AP47, S24, GAPDH, rpl39, UBQ10, and UBI9) in four different experimental sets (control versus drought-stressed leaves, control versus drought-stressed roots, leaves of three different coffee cultivars, and four different coffee organs). The most suitable combination of reference genes was indicated in each experimental set for use as internal control for reliable qPCR data normalization. This study also provides useful guidelines for reference gene selection for researchers working with coffee plant samples under conditions other than those tested here. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Identification and validation of reference genes for RT‐qPCR analysis in banana (Musa spp.) under Fusarium wilt resistance induction conditions

Banana (Musa spp.) is severely damaged by Fusarium wilt caused by Fusarium oxysporum f. sp. cubense (Foc). Biocontrol by inducing systemic resistance has been considered as one of the most important strategies to improve plant health. Very few studies have investigated appropriate reference gene selection for RT‐qPCR (quantitative real‐time polymerase chain reaction) analysis suitable for conditions of systemic activated resistance. In this study, we assessed over a time‐course the expression of seven candidate reference genes (EF1, TUB, ACT1, ACT2, L2, RPS2 and RAN) for Cavendish cultivar Brazilian (Musa spp. AAA) and dwarf banana cultivar Guangfen No. 1 (Musa spp. ABB) that were inoculated by Bacillus subtilis strain TR21 and Foc. We choose these plants because they are commonly planted in Southern China. Expression stability of the candidate genes was evaluated using various software packages (GeNorm, NormFinder and BestKeeper). L2 and TUB genes displayed maximum stability in Guangfen No. 1. In Brazilian, ACT1 and TUB were the most stable genes. To further validate the suitability of the reference genes identified in this study, the expression of pathogenesis‐related 1 (PR1) gene under TR21 and Foc strains Foc004/Foc009 treatments was also studied. Identified reference genes in this work that are most suitable for normalizing gene expression data in banana under Fusarium wilt resistance induction conditions will contribute to the understanding of disease resistance mechanisms induced by biocontrol strains in banana.     

Normalisation of real-time RT-PCR gene expression measurements in <Emphasis Type="Italic">Arabidopsis </Emphasis><Emphasis Type="Italic">thaliana</Emphasis> exposed to increased metal concentrations

Accurate quantification by real-time RT-PCR relies on normalisation of the measured gene expression data. Normalisation with multiple reference genes is becoming the standard, but the best reference genes for gene expression studies within one organism may depend on the applied treatments or the organs and tissues studied. Ideally, reference genes should be evaluated in all experimental systems. A number of candidate reference genes for Arabidopsis have been proposed, which can be used as a starting point to evaluate their expression stability in individual experimental systems by available computer algorithms like geNorm and NormFinder. Using this approach, we identified the best three reference genes from a set of ten candidates, which included three traditional “housekeeping” genes, for normalisation of gene expression when roots and leaves of Arabidopsis thaliana are exposed to cadmium (Cd) and copper (Cu). The expression stabilities of AT5G15710 (F-box protein), AT2G28390 (SAND family protein) and AT5G08290 (mitosis protein YLS8) were the highest when considering the effect to the roots and shoots of Cd and Cu treatments. Even though the effect of Cd and excess Cu on the plants is very different, the same best reference genes were identified when considering Cd or Cu treatments separately. This suggests that these three genes may also be suitable when studying the gene expression after exposure of Arabidopsis thaliana to increased concentrations of other metals. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Identification of valid reference genes for circadian gene-expression studies in human mammary epithelial cells

ABSTRACT

The circadian clock controls most of the physiological processes in the body throughout days and nights’ alternation. Its dysregulation has a negative impact on many aspects of human health, such as obesity, lipid disorders, diabetes, skin regeneration, hematopoiesis and cancer. To date, poor is known on the molecular mechanisms that links mammary gland homeostasis to the circadian clock but recent reports highlight the importance of loss of circadian genes for mammary gland development and during tumour progression in breast cancer. Gene expression studies are then required to clarify how the circadian clock can modulates the human mammary gland development during ontology and its behaviour in physiological and oncogenic context. For this, in addition to genome-wide studies, real-time quantitative RT-PCR (qPCR) is a powerful and pertinent technique to quantify the expression of a reduced set of genes of interest in many different samples. Relative quantification of qPCR data requires the use of reference genes for normalisation. For circadian studies, reference genes expression must not oscillate in mirror of the circadian clock and must not be affected by the synchronisation protocols required in vitro to reset the circadian clock. Inappropriate selection of reference genes can consequently affect the amplitude of gene expression oscillation and bias data interpretation. Currently, no standard reference genes have been validated regarding these criteria for human mammary epithelial cells and the purpose of this study was to fill this gap. For this, we used the RefFinder tool, which combines four different algorithms, on 9 candidate reference genes. We compared reference genes stability using three different synchronisation protocols applied on four different mammary epithelial cell lines. This allowed us to define a set of reference genes in human mammary epithelial cells whose expression remains stable despite synchronisation protocols. We observed that the synchronisation of cells by serum shock was the most suitable procedure for maintaining the amplitude of oscillation of clock genes over time and we identified RPL4, RPLP0, HSPCB and TBP as an optimal combination of reference genes for the normalisation of the oscillatory expression of clock genes in human mammary epithelial cells.