scholarly journals Identification of the most suitable reference gene for gene expression studies with development and abiotic stress response in Bromus sterilis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Madhab Kumar Sen ◽  
Kateřina Hamouzová ◽  
Pavlina Košnarová ◽  
Amit Roy ◽  
Josef Soukup

AbstractBromus sterilis is an annual weedy grass, causing high yield losses in winter cereals. Frequent use of herbicides had led to the evolution of herbicide resistance in this species. Mechanisms underlying herbicide resistance in B. sterilis must be uncovered because this problem is becoming a global threat. qRT-PCR and the next-generation sequencing technologies can elucidate the resistance mechanisms. Although qRT-PCR can calculate precise fold changes, its preciseness depends on the expression of reference genes. Regardless of stable expression in any given condition, no gene can act as a universal reference gene. Hence, it is necessary to identify the suitable reference gene for each species. To our knowledge, there are no reports on the suitable reference gene in any brome species so far. Thus, in this paper, the stability of eight genes was evaluated using qRT-PCR experiments followed by expression stability ranking via five most commonly used software for reference gene selection. Our findings suggest using a combination of 18S rRNA and ACCase to normalise the qRT-PCR data in B. sterilis. Besides, reference genes are also recommended for different experimental conditions. The present study outcomes will facilitate future molecular work in B. sterilis and other related grass species.

2021 ◽  
Author(s):  
Madhab Kumar Sen ◽  
Katerina Hamouzova ◽  
Pavlina Kosnarova ◽  
Amit Roy ◽  
Josef Soukup

Abstract Bromus sterilis is an annual weedy grass, causing high yield losses in winter cereals. Frequent use of herbicides had led to the evolution of herbicide-resistance in this species. Mechanisms underlying herbicide resistance in B. sterilis must be uncovered because this problem is becoming a global threat. qRT-PCR and the next-generation sequencing technologies can contribute to elucidation of the resistance mechanisms. Although qRT-PCR can calculate precise fold changes, its preciseness depends on the expression of reference genes. Regardless of stable expression in any given condition, no gene can act as a universal reference gene. Hence, it is necessary to identify the suitable reference gene for each species. To our knowledge, there are no reports on the suitable reference gene in any brome species so far. Thus, in this paper, the stability of eight genes were evaluated using qRT-PCR experiments followed by expression stability ranking via five most commonly used softwares for reference gene selection. Our findings suggest using a combination of 18S rRNA and ACCase to normalise the qRT-PCR data in B. sterilis. Besides, reference genes are also recommended for different experimental conditions. The present study outcomes will facilitate future molecular work in B. sterilis and other related grass species.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min-dong Chen ◽  
Bin Wang ◽  
Yong-ping Li ◽  
Mei-juan Zeng ◽  
Jian-ting Liu ◽  
...  

AbstractSelecting suitable internal reference genes is an important prerequisite for the application of quantitative real-time PCR (qRT-PCR). However, no systematic studies have been conducted on reference genes in luffa. In this study, seven reference genes were selected, and their expression levels in luffa plants exposed to various simulated abiotic stresses [i.e., cold, drought, heat, salt, H2O2, and abscisic acid (ABA) treatments] were analyzed by qRT-PCR. The stability of the reference gene expression levels was validated using the geNorm, NormFinder, BestKeeper, and RefFinder algorithms. The results indicated that EF-1α was the most stably expressed and suitable reference gene overall and for the heat, cold, and ABA treatments. Additionally, UBQ expression was stable following the salt treatment, whereas TUB was identified as a suitable reference gene for H2O2 and drought treatments. The reliability of the selected reference genes was verified by analyzing the expression of copper/zinc superoxide dismutase (Cu/Zn-SOD) gene in luffa. When the most unstable reference genes were used for data normalizations, the resulting expression patterns had obvious biases when compared with the expression patterns for the most ideal reference genes used alone or combined. These results will be conducive to more accurate quantification of gene expression levels in luffa.


2016 ◽  
Vol 107 (3) ◽  
pp. 359-368 ◽  
Author(s):  
Y. Tan ◽  
X.-R. Zhou ◽  
B.-P. Pang

AbstractQuantitative real-time PCR (qRT-PCR) has been used extensively to analyze gene expression and decipher gene function. To obtain the optimal and stable normalization factors for qRT-PCR, selection and validation of reference genes should be conducted in diverse conditions. In insects, more and more studies confirmed the necessity and importance of reference gene selection. In this study, eight traditionally used reference genes in Galeruca daurica (Joannis) were assessed, using qRT-PCR, for suitability as normalization genes under different experimental conditions using four statistical programs: geNorm, Normfinder, BestKeeper and the comparative ΔCt method. The genes were ranked from the most stable to the least stable using RefFinder. The optimal suite of recommended reference genes was as follows: succinate dehydrogenase (SDHA) and tubulin-alpha (TUB-α) for temperature-treated larvae; ribosomal protein L32, SDHA and glutathione S-transferase were best for all developmental stages; ACT and TUB-α for male and female adults; SDHA and TUB-α were relatively stable and expressed in different tissues, both diapause and non-diapause adults. Reference gene evaluation was validated using expression of two target genes: the P450 CYP6 gene and the heat shock protein gene Hsp70. These results confirm the importance of custom reference gene selection when studies are conducted under diverse experimental conditions. A standardized qRT-PCR analysis procedure for gene functional studies is provided that could be useful in studies on other insect species.


2021 ◽  
Author(s):  
Virginia Friedrichs ◽  
Anne Balkema-Buschmann ◽  
Anca Dorhoi ◽  
Gang Pei

Abstract Bats are the only mammals capable of powered flight and their body temperature can reach up to 42°C during flight. Additionally, bats display robust type I IFN interferon (IFN-I) responses and some species constitutively express IFN-α. Reference genes with stable expression under temperature oscillations and IFN-I release are therefore critical for normalization of quantitative reverse-transcription polymerase chain reaction (qRT-PCR) data in bats. The expression stability of reference genes in Rousettus aegyptiacus remains elusive, although this species is frequently used in the infection research. We selected ACTB, EEF1A1, GAPDH and PGK1 as candidate reference genes and evaluated their expression stability in various tissues and cells from this model bat species upon IFN-I treatment at 37°C and 40°C by qRT-PCR. We employed two statistical algorithms, BestKeeper and NormFinder, and found that EEF1A1 exhibited the highest stability under all tested conditions. ACTB and GAPDH displayed unstable expression at 40°C and upon IFN-I treatment, respectively. By normalizing to EEF1A1, we uncovered that GAPDH expression was significantly induced by IFN‑I in R. aegyptiacus. Our study identifies EEF1A1 as the most suitable reference gene for qRT-PCR studies and unveils the induction of GAPDH expression by IFN-I in R. aegyptiacus. These findings are pertinent to other bat species and even bear relevance for non-volant mammals that show physiological fluctuations of core body temperature.


2020 ◽  
Author(s):  
Qian Zhang ◽  
Xue Gao ◽  
Lian-Juan Wang ◽  
Yu-Qian Zhao ◽  
Gui-Xia Jia

Abstract Background: The selection of reliable reference genes is a critical element for obtaining accurate gene expression data to assess quantitative real-time polymerase chain reaction (qRT-PCR) performance. It is critical to use suitable reference genes in miRNA qRT-PCR because of short amplification products and large differences in the expression levels of target miRNAs involved in some biological processes. However, in lily, which exhibits a large complex genome but lacks a reference, the available miRNA reference genes for use in qRT-PCR under various treatment conditions are limited, and their reliability has rarely been systematically evaluated.Results: In this study, 8 candidate reference genes, including three classic housekeeping genes and five potential miRNAs from the miRNA library of L. × formolongi, were selected and assessed for expression stability utilizing the BestKeeper, geNorm and Normfinder tools, together with the Delta Ct method, across a diverse set of biotic and abiotic experimental conditions (developmental stages, tissues, heat stress and pathogen defence) to determine the best reference gene(s) for L. × formolongi and L. regale. The final ranking was reordered by using RankAggreg, and the results showed that the novel miRNA PC-3p-67_108977 and the conserved miRNAs miR399a, miR399a and U6 were the most stable genes for L. × formolongi and L. regale, respectively, under all tested experimental conditions. Additionally, PC-3p-67_108977 and U6 were the most suitable genes for qRT-PCR studies in lily.Conclusions: This study provides a comprehensive evaluation of the reliability of reference genes for miRNA studies on development and biotic and abiotic stress responses in different lilies. These results will be beneficial for miRNA identification and functional studies of lilies in the future.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Xiaoli Tang ◽  
Hongyan Wang ◽  
Chuyang Shao ◽  
Hongbo Shao

Kosteletzkya virginica(L.) is a newly introduced perennial halophytic plant. Presently, reverse transcription quantitative real-time PCR (qPCR) is regarded as the best choice for analyzing gene expression and its accuracy mainly depends on the reference genes which are used for gene expression normalization. In this study, we employed qPCR to select the most stable reference gene inK. virginicawhich showed stable expression profiles under our experimental conditions. The candidate reference genes were 18S ribosomal RNA (18SrRNA),β-actin (ACT),α-tubulin (TUA), and elongation factor (EF). We tracked the gene expression profiles of the candidate genes and analyzed their stabilities through BestKeeper, geNorm, and NormFinder software programs. The results of the three programs were identical and18SrRNAwas assessed to be the most stable reference gene in this study. However,TUAwas identified to be the most unstable. Our study proved again that the traditional reference genes indeed displayed a certain degree of variations under given experimental conditions. Importantly, our research also provides guidance for selecting most suitable reference genes and lays the foundation for further studies inK. virginica.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Olawale Samuel Adeyinka ◽  
Bushra Tabassum ◽  
Idrees Ahmad Nasir ◽  
Iqra Yousaf ◽  
Imtiaz Ahmad Sajid ◽  
...  

Abstract Chilo partellus is an invasive polyphagous pest that has not been effectively managed with chemical pesticides. To select potential dsRNAs for use in an alternate control strategy, it is crucial to identify and evaluate stable reference genes for knockdown expression studies. This study evaluates the expression stability of seven candidate reference genes in C. partellus larvae fed on crude bacterially-expressed dsRNAs and purified dsRNAs at different time intervals, as well as the developmental stages and sexes. The expression stabilities of the reference genes were evaluated with different software programmes, such as BestKeeper, NormFinder, deltaCt, geNorm, and RefFinder. The overall results rank ELF as the most stably expressed reference gene when larvae were fed with crude bacteria-induced dsRNAs and purified dsRNA. However, Tubulin and HSP70 were more stable under different developmental stages and sexes. The expression levels of larvae that were fed crude bacteria-induced dsRNAs of Chitinase and Acetylcholinesterase were normalized with the four most stable reference genes (ELF, HSP70, V-ATPase and Tubulin) and the least stable reference gene (18S and HSP70) based on the geNorm algorithm. The least stable reference gene showed inconsistent knockdown expression, thereby confirming that the validation of a suitable reference gene is crucial to improve assay accuracy for dsRNA-targeted gene selection in C. partellus.


2011 ◽  
Vol 2011 ◽  
pp. 1-6 ◽  
Author(s):  
Sean S. J. Heng ◽  
Oliver Y. W. Chan ◽  
Bryan M. H. Keng ◽  
Maurice H. T. Ling

The expressions of reference genes used in gene expression studies are assumed to be stable under most circumstances. However, a number of studies had demonstrated that such genes were found to vary under experimental conditions. In addition, genes that are stably expressed in an organ may not be stably expressed in other organs or other organisms, suggesting the need to identify reference genes for each organ and organism. This study aims at identifying stably expressed genes in Escherichia coli. Microarray datasets from E. coli substrain MG1655 and 1 dataset from W3110 were analysed. Coefficient of variance (COV) of was calculated and 10% of the lowest COV from 4631 genes common in the 3 MG1655 sets were analysed using NormFinder. Glucan biosynthesis protein G (mdoG), which is involved in cell wall synthesis, displayed the lowest weighted COV and weighted NormFinder Stability Index for the MG1655 datasets, while also showing to be the most stable in the dataset for substrain W3110, suggesting that mdoG is a suitable reference gene for E. coli K-12. Gene ontology over-representation analysis on the 39 genes suggested an over-representation of cell division, carbohydrate metabolism, and protein synthesis which supports the short generation time of E. coli.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bei-Bei Zhang ◽  
Xu Shen ◽  
Xiu-Jin Li ◽  
Yun-Bo Tian ◽  
Hong-Jia Ouyang ◽  
...  

AbstractIn quantitative PCR research, appropriate reference genes are key to determining accurate mRNA expression levels. In order to screen the reference genes suitable for detecting gene expression in tissues of the reproductive axis, a total of 420 (males and females = 1:5) 3-year-old Magang geese were selected and subjected to light treatment. The hypothalamus, pituitary and testicular tissues were subsequently collected at different stages. Ten genes including HPRT1, GAPDH, ACTB, LDHA, SDHA, B2M, TUBB4, TFRC, RPS2 and RPL4 were selected as candidate reference genes. The expression of these genes in goose reproductive axis tissues was detected by real-time fluorescent quantitative PCR. The ΔCT, geNorm, NormFinder and BestKeeper algorithms were applied to sort gene expression according to stability. The results showed that ACTB and TUBB4 were the most suitable reference genes for the hypothalamic tissue of Magang goose in the three breeding stages; HPRT1 and RPL4 for pituitary tissue; and HPRT1 and LDHA for testicular tissue. For all three reproductive axis tissues, ACTB was the most suitable reference gene, whereas the least stable reference gene was GAPDH. Altogether, these results can provide references for tissue expression studies in geese under light treatment.


2020 ◽  
Author(s):  
mindong chen ◽  
bin wang ◽  
yongping li ◽  
meijuan zeng ◽  
jianting liu ◽  
...  

Abstract Background: Quantitative real-time PCR (qRT-PCR) is one of the preferred methods for analyzing gene expression, and selecting suitable internal reference genes is an important prerequisite for the application of this technology. However, no systematic studies have been conducted on reference genes in luffa, resulting in limited investigations of luffa gene expression. Results: In this study, seven reference genes ( ACT , TUA , TUB , EF-1α , GAPDH , UBQ , and 18S ) were selected, and their expression levels in luffa plants exposed to various simulated abiotic stresses [i.e., cold, drought, heat, salt, H 2 O 2 , and abscisic acid (ABA) treatments] were analyzed by qRT-PCR. The stability of the reference gene expression levels was validated using the geNorm, NormFinder, BestKeeper, and RefFinder algorithms. The results indicated that EF-1α was the most stably expressed and suitable reference gene overall and for the heat, cold, and ABA treatments. Additionally, UBQ expression was stable following the salt treatment, whereas TUB was identified as a suitable reference gene for H 2 O 2 and drought treatments. In contrast, GAPDH was revealed as an unsuitable reference gene overall and for the heat, salt, H 2 O 2 , ABA, and drought treatments. Regarding the cold treatment, TUA was identified as an unsuitable reference gene. The reliability of the selected reference genes was verified by analyzing the expression of copper/zinc superoxide dismutase ( Cu/Zn-SOD ) gene in luffa. When the most unstable reference genes were used for data normalizations, the resulting expression patterns had obvious biases when compared with the expression patterns for the most ideal reference genes used alone or combined. Conclusions: The study data were used to compile a list of suitable reference genes for qRT-PCR analyses of the gene expression in luffa plants exposed to abiotic stresses. This work may provide the basis for future qRT-PCR-based investigations of the transcription of important functional genes in luffa.


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