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Selection of reliable reference genes for quantitative RT-PCR in garlic under salt stress.

ABSTRACT: Quantitative real-time reverse-transcriptase PCR (qRT-PCR) has been frequently used for detecting gene expression. To obtain reliable results, selection of suitable reference genes is a fundamental and necessary step. Garlic (Allium sativum), a member from Alliaceae family, has been used both as a food flavoring and as a traditional medicine. In the present study, garlic plants were exposed to salt stress (200 mM NaCl) for 0, 1, 4 and 12 h, and garlic roots, bulbs, and leaves were harvested for subsequent analysis. The expression stability of eight candidate reference genes, eukaryotic translation initiation factor 4? (eIF-4?), actin (ACTIN), tubulin ?-7 (TUB7), TAP42-interacting protein of 41 kDa (TIP41), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), SAND family protein (SAND), elongation factor 1 alpha (EF-1?), and protein phosphatase 2A (PP2A) were evaluated by geNorm, NormFinder, and BestKeeper. All genes tested displayed variable expression profiles under salt stress. In the leaf and root group, ACTIN was the best reference gene for normalizing gene expression. In garlic clove, ACTIN and SAND were the least variable, and were suitable for gene expression studies under salt stress; these two genes also performed well in all samples tested. Based on our results, we recommend that it is essential to use specific reference genes in different situations to obtain accurate results. Using a combination of multiple stable reference genes, such as ACTIN and SAND, to normalize gene expression is encouraged. The results from the study will be beneficial for accurate determination of gene expression in garlic and other plants.

SUBMITTER: Wang G

PROVIDER: S-EPMC6640627 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Selection of reliable reference genes for quantitative RT-PCR in garlic under salt stress.

Wang Guanglong G Tian Chang C Wang Yunpeng Y Wan Faxiang F Hu Laibao L Xiong Aisheng A Tian Jie J

PeerJ 20190716

Quantitative real-time reverse-transcriptase PCR (qRT-PCR) has been frequently used for detecting gene expression. To obtain reliable results, selection of suitable reference genes is a fundamental and necessary step. Garlic (<i>Allium sativum</i>), a member from Alliaceae family, has been used both as a food flavoring and as a traditional medicine. In the present study, garlic plants were exposed to salt stress (200 mM NaCl) for 0, 1, 4 and 12 h, and garlic roots, bulbs, and leaves were harvest ...[more]

PMID: 31341748

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Project description:BackgroundNormalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introduce additional variability into normalized expression levels due to innate variation (between tissues, individuals, etc). To minimize this innate variability, multiple reference genes are used. Current methods of selecting reference genes make an assumption of independence in their innate variation. This assumption is not always justified, which may lead to selecting a suboptimal set of reference genes.ResultsWe propose a robust approach for selecting optimal subset(s) of reference genes with the smallest variance of the corresponding normalizing factors. The normalizing factor variance estimates are based on the estimated unstructured covariance matrix of all available candidate reference genes, adjusting for all possible correlations. Robustness is achieved through bootstrapping all candidate reference gene data and obtaining the bootstrap upper confidence limits for the variances of the log-transformed normalizing factors. The selection of the reference gene subset is optimized with respect to one of the following criteria: (A) to minimize the variability of the normalizing factor; (B) to minimize the number of reference genes with acceptable upper limit on variability of the normalizing factor, (C) to minimize the average rank of the variance of the normalizing factor. The proposed approach evaluates all gene subsets of various sizes rather than ranking individual reference genes by their stability, as in the previous work. In two publicly available data sets and one new data set, our approach identified subset(s) of reference genes with smaller empirical variance of the normalizing factor than in subsets identified using previously published methods. A small simulation study indicated an advantage of the proposed approach in terms of sensitivity to identify the true optimal reference subset in the presence of even modest, especially negative correlation among the candidate reference genes.ConclusionsThe proposed approach performs comprehensive and robust evaluation of the variability of normalizing factors based on all possible subsets of candidate reference genes. The results of this evaluation provide flexibility to choose from important criteria for selecting the optimal subset(s) of reference genes, unless one subset meets all the criteria. This approach identifies gene subset(s) with smaller variability of normalizing factors than current standard approaches, particularly if there is some nontrivial innate correlation among the candidate genes.

Project description:Quantitative real-time polymerase chain reaction (RT-qPCR) using a stable reference gene is widely used for gene expression research. Barnyard millet (Echinochloa spp.) is an ancient crop in Asia and Africa that is widely cultivated for food and fodder. It thrives well under drought, salinity, cold, and heat environmental conditions, besides adapting to any soil type. To date, there are no gene expression studies performed to identify the potential candidate gene responsible for stress response in barnyard millet, due to lack of reference gene. Here, 10 candidate reference genes, Actin (ACT), α-tubulin (α-TUB), β-tubulin (β-TUB), RNA pol II (RP II), elongation factor-1 alpha (EF-1α), adenine phosphoribosyltransferase (APRT), TATA-binding protein-like factor (TLF), ubiquitin-conjugating enzyme 2 (UBC2), ubiquitin-conjugating enzyme E2L5 (UBC5) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), were selected from mRNA sequences of E. crus-galli and E. colona var frumentacea. Five statistical algorithms (geNorm, NormFinder, BestKeeper, ΔCt, and RefFinder) were applied to determine the expression stabilities of these genes in barnyard millet grown under four different abiotic stress (drought, salinity, cold and heat) exposed at different time points. The UBC5 and ɑ-TUB in drought, GAPDH in salinity, GAPDH and APRT in cold, and EF-1α and RP II in heat were the most stable reference genes, whereas ß-TUB was the least stable irrespective of stress conditions applied. Further Vn/Vn + 1 analysis revealed two reference genes were sufficient to normalize gene expression across all sample sets. The suitability of identified reference genes was validated with Cu-ZnSOD (SOD1) in the plants exposed to different abiotic stress conditions. The results revealed that the relative quantification of the SOD1 gene varied according to reference genes and the number of reference genes used, thus highlighting the importance of the choice of a reference gene in such experiments. This study provides a foundational framework for standardizing RT-qPCR analyses, enabling accurate gene expression profiling in barnyard millet.

Dataset Information

Selection of reliable reference genes for quantitative RT-PCR in garlic under salt stress.

Publications

Selection of reliable reference genes for quantitative RT-PCR in garlic under salt stress.

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