Dataset Information

Selection of reference genes for quantitative real-time PCR normalization in the plant pathogen Puccinia helianthi Schw.

ABSTRACT: BACKGROUND:Real-time RT-PCR has become a common and robust technique to detect and quantify low-abundance mRNA expression and is a prefered tool when examining fungal gene expression in infected host tissues. However, correct evaluation of gene expression data requires accurate and reliable normalization against a reference transcript. Thus, the identification of reference genes with stable expression during different conditions is of paramount importance. Here, we present a study where in vitro and in planta experiments were used to validate the expression stability of reference gene candidates of Puccinia helianthi Schw., an obligate pathogen that causes rust in sunflower (Helianthus annuus). RESULTS:Eleven reference genes of P. helianthi were validated at different growth stages. Excel-based software geNorm, BestKeeper and NormFinder were used to evaluate the reference gene transcript stabilities. Of eleven reference gene candidates tested, three were stably expressed in urediniospores, germinating growth stage and in planta. Two of these genes (UBC, EF2), encoding ubiquitin-conjugating enzyme and elongation factor 2, proved to be the most stable set of reference genes under the experimental conditions used. CONCLUSION:We found that UBC and EF2 are suitable candidates for for the standardization of gene expression studies in the plant pathogen P. helianthi and potentially other related pathogens.

SUBMITTER: Song Y

PROVIDER: S-EPMC6329156 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Selection of reference genes for quantitative real-time PCR normalization in the plant pathogen Puccinia helianthi Schw.

Song Yang Y Wang Yan Y Guo Dandan D Jing Lan L

BMC plant biology 20190111 1

<h4>Background</h4>Real-time RT-PCR has become a common and robust technique to detect and quantify low-abundance mRNA expression and is a prefered tool when examining fungal gene expression in infected host tissues. However, correct evaluation of gene expression data requires accurate and reliable normalization against a reference transcript. Thus, the identification of reference genes with stable expression during different conditions is of paramount importance. Here, we present a study where ...[more]

PMID: 30634896

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Project description:Rhizophora apiculata is a halophytic, small mangrove tree distributed along the coastal regions of the tropical and subtropical areas of the world. They are natural genetic reservoirs of salt adaptation genes and offer a unique system to explore adaptive mechanisms under salinity stress. However, there are no reliable studies available on selection and validation of reference genes for quantitative real-time polymerase chain reaction (qRT-PCR) in R. apiculata physiological tissues and in salt stress conditions. The selection of appropriate candidate reference gene for normalization of qRT-PCR data is a crucial step towards relative analysis of gene expression. In the current study, seven genes such as elongation factor 1? (EF1?), Ubiquitin (UBQ), ?-tubulin (?-TUB), Actin (ACT), Ribulose1,5-bisphosphate carboxylase/oxygenase (rbcL), Glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and 18S rRNA (18S) were selected and analyzed for their expression stability. Physiological tissues such as leaf, root, stem, and flower along with salt stress leaf samples were used for selection of candidate reference genes. The high-quality expression data was obtained from biological replicates and further analyzed using five different programs such as geNorm, NormFinder, BestKeeper, Delta Ct and RefFinder. All algorithms comprehensively ranked EF1? followed by ACT as the most stable candidate reference genes in R. apiculata physiological tissues. Moreover, ?-TUB and 18S were ranked as moderately stable candidate reference genes, while GAPDH and rbcL were least stable reference genes. Under salt stress, EF1? was comprehensively recommended top-ranked candidate reference gene followed by ACT and 18S. In order to validate the identified most stable candidate reference genes, EF1?, ACT, 18S and UBQ were used for relative gene expression level of sodium/proton antiporter (NHX) gene under salt stress. The expression level of NHX varied according to the internal control which showed the importance of selection of appropriate reference gene. Taken together, this is the first ever systematic attempt of selection and validation of reference gene for qRT-PCR in R. apiculata physiological tissues and in salt stress. This study would promote gene expression profiling of salt stress tolerance related genes in R. apiculata.

Project description:BACKGROUND:The use of stably expressed genes as normalizers has crucial role in accurate and reliable expression analysis estimated by quantitative real-time polymerase chain reaction (qPCR). Recent studies have shown that, the expression levels of common housekeeping genes are varying in different tissues and experimental conditions. The genomic DNA contamination in RNA samples is another important factor that also influence the interpretation of the data obtained from qPCR. It is estimated that the gDNA contamination in gene expression analysis lead to an overestimation of the RNA transcript level. The aim of this study was to validate the most stably expressed reference genes in two different tissues of Aeluropus littoralis-halophyte grass at salt stress and recovery condition. Also, a qPCR-based approach for monitoring contamination with gDNA was conducted. RESULTS:Ten candidate reference genes participating in different biological processes were analyzed in four groups of samples including root and leaf tissues, salt stress and recovery condition. To determine the most stably expressed reference genes, three statistical methods (geNorm, NormFinder and BestKeeper) were applied. According to results obtained, ten candidate reference genes were ranked based on the stability of their expression. Here, our results show that a set of four housekeeping genes (HKGs) e.g. RPS3, EF1A, GTF and RPS12 could be used as general reference genes for the all selected conditions and tissues. Also, four set of reference genes were proposed for each tissue and condition including: RPS3, EF1A and UBQ for salt stress and root samples; RPS3, EF1A, UBQ as well as GAPDH for recovery condition; U2SURP and GTF for leaf samples. Additionally, for assessing DNA contamination in RNA samples, a set of unique primers were designed based on the conserved region of ribosomal DNA (rDNA). The universality, specificity and sensitivity of these primer pairs were also evaluated in Poaceae. CONCLUSIONS:Overall, the sets of reference genes proposed in this study are ideal normalizers for qPCR analysis in A. littoralis transcriptome. The novel reference gene e.g. RPS3 that applied this study had higher expression stability than commonly used housekeeping genes. The application of rDNA-based primers in qPCR analysis was addressed.

Dataset Information

Selection of reference genes for quantitative real-time PCR normalization in the plant pathogen Puccinia helianthi Schw.

Publications

Selection of reference genes for quantitative real-time PCR normalization in the plant pathogen Puccinia helianthi Schw.

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