scholarly journals Selection and stability validation of reference gene candidates for transcriptional analysis in Rousettus aegyptiacus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Virginia Friedrichs ◽  
Anne Balkema-Buschmann ◽  
Anca Dorhoi ◽  
Gang Pei

AbstractBats 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 35 °C, 37 °C and 40 °C by qRT-PCR. We employed two statistical algorithms, BestKeeper and NormFinder, and found that EEF1A1 exhibited the highest expression stability under all tested conditions. ACTB and GAPDH displayed unstable expression upon temperature change and 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 upon temperature changes and IFN-I treatment and unveils the induction of GAPDH expression by IFN-I in R. aegyptiacus. These findings are pertinent to other bat species and may be relevant for non-volant mammals that show physiological fluctuations of core body temperature.

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.


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.


2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Zhaoping Yan ◽  
Jinhang Gao ◽  
Xiuhe Lv ◽  
Wenjuan Yang ◽  
Shilei Wen ◽  
...  

The analysis of differences in gene expression is dependent on normalization using reference genes. However, the expression of many of these reference genes, as evaluated by quantitative RT-PCR, is upregulated in acute pancreatitis, so they cannot be used as the standard for gene expression in this condition. For this reason, we sought to identify a stable reference gene, or a suitable combination, for expression analysis in acute pancreatitis. The expression stability of 10 reference genes (ACTB, GAPDH, 18sRNA, TUBB, B2M, HPRT1, UBC, YWHAZ, EF-1α, and RPL-13A) was analyzed using geNorm, NormFinder, and BestKeeper software and evaluated according to variations in the raw Ct values. These reference genes were evaluated using a comprehensive method, which ranked the expression stability of these genes as follows (from most stable to least stable): RPL-13A, YWHAZ > HPRT1 > GAPDH > UBC > EF-1α> 18sRNA > B2M > TUBB > ACTB. RPL-13A was the most suitable reference gene, and the combination of RPL-13A and YWHAZ was the most stable group of reference genes in our experiments. The expression levels of ACTB, TUBB, and B2M were found to be significantly upregulated during acute pancreatitis, whereas the expression level of 18sRNA was downregulated. Thus, we recommend the use of RPL-13A or a combination of RPL-13A and YWHAZ for normalization in qRT-PCR analyses of gene expression in mouse models of acute pancreatitis.


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.


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.


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.


2020 ◽  
Author(s):  
Chaofan Jin ◽  
Weihao Song ◽  
Mengya Wang ◽  
Jie Qi ◽  
Quanqi Zhang ◽  
...  

Abstract Background: The quantitative real-time reverse transcription PCR (qRT-PCR) is a widely used technique that relies on the reference gene for gene expression normalization. Selecting a suitable reference gene is a crucial step to obtain an accurate result in qRT-PCR. However, most previous studies of fishes adopted reference genes that were commonly used in mammals without validation. Results: In this study, we utilized 89 transcriptome datasets covering early developmental stages and adult tissues, and carried out transcriptome-wide identification and validation of reference genes in Sebastes schlegelii. Finally, 121 candidate reference genes were identified based on four criteria. Eight candidates (METAP2, BTF3L4, EIF5A1, TCTP, UBC, PAIRB, RAB10, and DLD) and four commonly used reference genes (TUBA, ACTB, GAPDH, RPL17) in mammals were selected for validation via qRT- PCR and four statistical methods (delta-Ct, BestKeeper, geNorm, and NormFinder). The results revealed that the candidate reference genes we recommended are more stable than traditionally used ones. Conclusions: This is the first study to conduct transcriptome-wide identification and validation of reference genes for quantitative RT-PCR in the black rockfish, and lay an important foundation for gene expression analysis in teleost.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Meng Wang ◽  
Tingting Ren ◽  
Prince Marowa ◽  
Haina Du ◽  
Zongchang Xu

AbstractQuantitative real-time polymerase chain reaction (qPCR) using a stable reference gene is widely used for gene expression research. Suaeda glauca L. is a succulent halophyte and medicinal plant that is extensively used for phytoremediation and extraction of medicinal compounds. It thrives under high-salt conditions, which promote the accumulation of high-value secondary metabolites. However, a suitable reference gene has not been identified for gene expression standardization in S. glauca under saline conditions. Here, 10 candidate reference genes, ACT7, ACT11, CCD1, TUA5, UPL1, PP2A, DREB1D, V-H+-ATPase, MPK6, and PHT4;5, were selected from S. glauca transcriptome data. Five statistical algorithms (ΔCq, geNorm, NormFinder, BestKeeper, and RefFinder) were applied to determine the expression stabilities of these genes in 72 samples at different salt concentrations in different tissues. PP2A and TUA5 were the most stable reference genes in different tissues and salt treatments, whereas DREB1D was the least stable. The two reference genes were sufficient to normalize gene expression across all sample sets. The suitability of identified reference genes was validated with MYB and AP2 in germinating seeds of S. glauca exposed to different NaCl concentrations. Our study provides a foundational framework for standardizing qPCR analyses, enabling accurate gene expression profiling in S. glauca.


2018 ◽  
Vol 19 (8) ◽  
pp. 2258 ◽  
Author(s):  
Yuning Hu ◽  
Hongtuo Fu ◽  
Hui Qiao ◽  
Shengming Sun ◽  
Wenyi Zhang ◽  
...  

Quantitative real-time PCR (qPCR) is widely used in molecular biology, although the accuracy of the quantitative results is determined by the stability of the reference genes used. Recent studies have investigated suitable reference genes for some crustaceans under various conditions, but studies in Macrobrachium nipponense are currently lacking. In this study, we selected the following seven genes from among 35 commonly used housekeeping genes as candidate qPCR reference genes for temporal and spatial expression: EIF (eukaryotic translation initiation factor 5A), 18S (18S ribosomal RNA), EF-1α (elongation factor-1α), GAPDH (glyceraldehyde-3-phosphate dehydrogenase), TUB (α-tubulin), β-act (β-actin), and RPL18 (Ribosomal protein L18). The stability of each reference gene was evaluated by GeNorm, NormFinder, BestKeeper, and comparative ∆C t methods, and was comprehensively ranked using RefFinder. RPL18 was shown to be the most suitable reference gene for adult M. nipponense tissues, while EIF was the most stable in different ovarian and embryo stages and in white spot syndrome virus infection, and β-act was the most stable reference gene under hypoxia stress. The reliability of the rankings was confirmed by RNA interference experiments. To the best of our knowledge, this represents the first systematic analysis of reference genes for qPCR experiments in M. nipponense, and the results will provide invaluable information for future research in closely related crustaceans.


Genes ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 647 ◽  
Author(s):  
Yi Luo ◽  
Gangzheng Wang ◽  
Chen Wang ◽  
Yuhua Gong ◽  
Yinbing Bian ◽  
...  

Lentinula edodes is the most consumed mushroom in Asia due to its nutritional and medicinal values, and the optimal reference gene is crucial for normalization of its gene expression analysis. Here, the expression stability of 18 candidate reference genes (CRGs) in L. edodes was analyzed by three statistical algorithms (geNorm, NormFinder and BestKeeper) under different stresses (heat, cadmium excess and Trichoderma atroviride infection), different substrates (straw, sawdust and corn stalk) and different development stages (mycelia, primordia and fruit bodies). Among the 18 CRGs, 28S, Actin and α-tub exhibited the highest expression stability in L. edodes under all conditions, while GPD, SPRYP and MSF showed the least stable expression. The best reference gene in different conditions was different. The pairwise variation values showed that two genes would be sufficient for accurate normalization under different conditions of L. edodes. This study will contribute to more accurate estimation of the gene relative expression levels under different conditions using the optimal reference gene in qRT-PCR (quantitative reverse transcription polymerase chain reaction) analysis.


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