scholarly journals Selection of reference genes for gene expression analysis in Liriodendron hybrids’ somatic embryogenesis and germinative tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tingting Li ◽  
Weigao Yuan ◽  
Shuai Qiu ◽  
Jisen Shi

AbstractThe differential expression of genes is crucial for plant somatic embryogenesis (SE), and the accurate quantification of gene expression levels relies on choosing appropriate reference genes. To select the most suitable reference genes for SE studies, 10 commonly used reference genes were examined in synchronized somatic embryogenic and subsequent germinative cultures of Liriodendron hybrids by using quantitative real-time reverse transcription PCR. Four popular normalization algorithms: geNorm, NormFinder, Bestkeeper and Delta-Ct were used to select and validate the suitable reference genes. The results showed that elongation factor 1-gamma, histone H1 linker protein, glyceraldehyde-3-phosphate dehydrogenase and α-tubulin were suitable for SE tissues, while elongation factor 1-gamma and actin were best for the germinative organ tissues. Our work will benefit future studies of gene expression and functional analyses of SE in Liriodendron hybrids. It is also serves as a guide of reference gene selection in early embryonic gene expression analyses for other woody plant species.

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 ◽  
Author(s):  
Alexander P Young ◽  
Carmen F Landry ◽  
Daniel J Jackson ◽  
Russell C Wyeth

Reverse transcription quantitative PCR (RT-qPCR) is a robust technique for the quantification and comparison of gene expression across multiple tissues. To obtain reliable results, one or more reference genes must be employed to normalize expression measurements among treatments or tissue samples. Candidate reference genes must be validated to ensure that they are stable prior to use in qPCR experiments. The pond snail (Lymnaea stagnalis) is a common research organism, particularly in the areas of learning and memory, and is an emerging target for qPCR experimentation. However, no systematic assessment of reference genes has been performed in this animal. Therefore, the aim of our research was to identify stable reference genes to normalize gene expression data from a variety of tissues in L. stagnalis. We evaluated a panel of seven reference genes across six different tissues in L. stagnalis with RT-qPCR. The genes included: elongation factor 1-alpha (EF1α), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), beta-actin (ACTB), beta-tubulin (TUBB), ubiquitin (UBI), prenylated rab acceptor protein 1 (Rapac1), and a voltage gated potassium channel (VGKC). These genes exhibited a wide range of expression levels among tissues. The stability of each of the genes was consistent when measured by any of the standard stability assessment algorithms: geNorm, NormFinder, BestKeeper and RefFinder. Our data indicate that GAPDH and EF1α are highly stable in the tissues that we examined (central nervous system, tentacles, lips, penis, foot, mantle) as well as in pooled analyses. We do not recommend VGKC for use in RT-qPCR experiments due to its relatively low expression stability. Our results were generally congruent with those obtained from similar studies in other molluscs. Given that a minimum of two reference genes are recommended for data normalization, we suggest GAPDH and EF1α are a strong option for multi-tissue analyses of RT-qPCR data in Lymnaea stagnalis.


2018 ◽  
Vol 20 (1) ◽  
pp. 34 ◽  
Author(s):  
Jing-Jing Wang ◽  
Shuo Han ◽  
Weilun Yin ◽  
Xinli Xia ◽  
Chao Liu

Quantitative reverse transcription polymerase chain reaction (qRT-PCR) is the most sensitive technique for evaluating gene expression levels. Choosing appropriate reference genes for normalizing target gene expression is important for verifying expression changes. Metasequoia is a high-quality and economically important wood species. However, few systematic studies have examined reference genes in Metasequoia. Here, the expression stability of 14 candidate reference genes in different tissues and following different hormone treatments were analyzed using six algorithms. Candidate reference genes were used to normalize the expression pattern of FLOWERING LOCUS T and pyrabactin resistance-like 8. Analysis using the GrayNorm algorithm showed that ACT2 (Actin 2), HIS (histone superfamily protein H3) and TATA (TATA binding protein) were stably expressed in different tissues. ACT2, EF1α (elongation factor-1 alpha) and HIS were optimal for leaves treated with the flowering induction hormone solution, while Cpn60β (60-kDa chaperonin β-subunit), GAPDH (glyceraldehyde-3-phosphate dehydrogenase) and HIS were the best reference genes for treated buds. EF1α, HIS and TATA were useful reference genes for accurate normalization in abscisic acid-response signaling. Our results emphasize the importance of validating reference genes for qRT-PCR analysis in Metasequoia. To avoid errors, suitable reference genes should be used for different tissues and hormone treatments to increase normalization accuracy. Our study provides a foundation for reference gene normalization when analyzing gene expression in Metasequoia.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0233249
Author(s):  
Marina Linardić ◽  
Siobhan A. Braybrook

Quantitative gene expression analysis is an important tool in the scientist’s belt. The identification of evenly expressed reference genes is necessary for accurate quantitative gene expression analysis, whether by traditional RT-PCR (reverse-transcription polymerase chain reaction) or by qRT-PCR (quantitative real-time PCR; qPCR). In the Stramenopiles (the major line of eukaryotes that includes brown algae) there is a noted lack of known reference genes for such studies, largely due to the absence of available molecular tools. Here we present a set of nine reference genes (Elongation Factor 1 alpha (EF1A), Elongation Factor 2 alpha (EF2A), Elongation Factor 1 beta (EF1B), 14-3-3 Protein, Ubiquitin Conjugating Enzyme (UBCE2), Glyceraldehyde-3-phosphate Dehydrogenase (GAPDH), Actin Related Protein Complex (ARP2/3), Ribosomal Protein (40s; S23), and Actin) for the brown alga Fucus distichus. These reference genes were tested on adult sporophytes across six abiotic stress conditions (desiccation, light and temperature modification, hormone addition, pollutant exposure, nutrient addition, and wounding). Suitability of these genes as reference genes was quantitatively evaluated across conditions using standard methods and the majority of the tested genes were evaluated favorably. However, we show that normalization genes should be chosen on a condition-by-condition basis. We provide a recommendation that at least two reference genes be used per experiment, a list of recommended pairs for the conditions tested here, and a procedure for identifying a suitable set for an experimenter’s unique design. With the recent expansion of interest in brown algal biology and accompanied molecular tools development, the variety of experimental conditions tested here makes this study a valuable resource for future work in basic biology and understanding stress responses in the brown algal lineage.


Crustaceana ◽  
2018 ◽  
Vol 91 (10) ◽  
pp. 1195-1210 ◽  
Author(s):  
Yabo Fang ◽  
Le Diao ◽  
Fengying Zhang ◽  
Lingbo Ma ◽  
Mengdi Zhao ◽  
...  

Abstract The quantitative real-time transcription-polymerase chain reaction (qRT-PCR) is now used widely in studies about mRNA expression levels. The selection of one or more stable reference gene(s) used for data normalization is substantial. In this study, expression levels of eleven candidate reference genes (β-actin, 16S rRNA, 18S rRNA, 28S rRNA, α-I tubulin, GAPDH, ribosomal protein L13, elongation factor 1 α, elongation factor 2, arginine kinase and ubiquitin) were examined using the GenomeLab GeXP analysis system (Beckman Coulter). Gene expression data were analysed using two different statistical models: geNorm and NormFinder. (1) In six different tissues (hepatopancreas, haemocytes, heart, gill, muscle, and testis) from the mud crab, Scylla paramamosain, 18S rRNA and elongation factor 1 α were identified as the two best reference genes. (2) In the haemocytes after being challenged by Vibro parahaemolyticus, the result suggested that ubiquitin was the most stable gene after the treatment. 18S rRNA, elongation factor 1 α and ubiquitin are herein recommended as the best combination. These results provide useful options for reference gene selection under different experimental conditions in qRT-PCR studies in the mud crab.


BioTechniques ◽  
2020 ◽  
Vol 68 (3) ◽  
pp. 130-137
Author(s):  
Weiqi Dang ◽  
Xiang Zhang ◽  
Qinghua Ma ◽  
Lu Chen ◽  
Mianfu Cao ◽  
...  

Considering the importance of gene expression studies for understanding the biology of glioma stem cells (GSCs), we aimed to identify the reliable reference genes in GSCs that were derived from the glioma cell lines T98G, LN229, 090116 and 091214. Quantitative real-time reverse-transcription PCR was employed using 11 reference genes identified through a PubMed literature search, and the assessment of stability through the geNorm, Normfinder and coefficient of variation methods was performed to select suitable reference genes. We found that HPRT1 and RPL13A were the most suitable reference genes, and validated the geometric mean of these genes to normalize the expression of stemness genes by GSCs. Therefore, it is necessary to select novel cell-specific reference genes with greater expression stability for gene expression studies in GSCs.


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.


PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3577
Author(s):  
Jonathan W.K. Liew ◽  
Mun Yik Fong ◽  
Yee Ling Lau

Quantitative reverse transcription PCR (qRT-PCR) has been an integral part of characterizing the immunity of Anopheles mosquitoes towards Plasmodium invasion. Two anti-Plasmodium factors of Anopheles, thioester-containing protein 1 (TEP1) and nitric oxide synthase (NOS), play a role in the refractoriness of Anopheles towards Plasmodium infection and are generally expressed during infection. However, these are less studied in Anopheles dirus, a dominant malaria vector in Southeast Asia. Furthermore, most studies used a single reference gene for normalization during gene expression analysis without proper validation. This may lead to erroneous quantification of expression levels. Therefore, the present study characterized and investigated the expression profiles of TEP1 and NOS of Anopheles dirus during P. berghei infection. Prior to that, the elongation factor 1-alpha (EF1), actin 1 (Act) and ribosomal protein S7 (S7) genes were validated for their suitability as a set of reference genes. TEP1 and NOS expressions in An. dirus were found to be significantly induced after P. berghei infection.


2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Anush Kosakyan ◽  
Gema Alama-Bermejo ◽  
Pavla Bartošová-Sojková ◽  
Ana Born-Torrijos ◽  
Radek Šíma ◽  
...  

Abstract Myxozoans (Cnidaria: Myxozoa) are an extremely diversified group of endoparasites some of which are causative agents of serious diseases in fish. New methods involving gene expression studies have emerged over the last years to better understand and control myxozoan diseases. Quantitative RT-PCR is the most extensively used approach for gene expression studies. However, the accuracy of the results depends on the normalization of the data to reference genes. We studied the expression of eight commonly used reference genes, adenosylhomocysteinase (AHC1), beta actin (ACTB), eukaryotic translation elongation factor 2 (EF2), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), hypoxanthine-guanine phosphoribosyltransferase 1 (HPRT1), DNA-directed RNA polymerase II (RPB2), 18S ribosomal RNA (18S), 28S ribosomal RNA (28S) across different developmental stages of three myxozoan species, Sphaerospora molnari, Myxobolus cerebralis and Ceratonova shasta, representing the three major myxozoan linages from the largest class Myxosporea. The stable reference genes were identified using four algorithms: geNorm, NormFinder, Bestkeeper and ΔCq method. Additionally, we analyzed transcriptomic data from S. molnari proliferative and spore-forming stages to compare the relative amount of expressed transcripts with the most stable reference genes suggested by RT-qPCR. Our results revealed that GAPDH and EF2 are the most uniformly expressed genes across the different developmental stages of the studied myxozoan species.


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