scholarly journals Cloning and evaluation of reference genes for quantitative real-time PCR analysis inAmorphophallus

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3260 ◽  
Author(s):  
Kai Wang ◽  
Yi Niu ◽  
Qijun Wang ◽  
Haili Liu ◽  
Yi Jin ◽  
...  

Quantitative real-time reverse transcription PCR (RT-qPCR) has been widely used in the detection and quantification of gene expression levels because of its high accuracy, sensitivity, and reproducibility as well as its large dynamic range. However, the reliability and accuracy of RT-qPCR depends on accurate transcript normalization using stably expressed reference genes.Amorphophallusis a perennial plant with a high content of konjac glucomannan (KGM) in its corm. This crop has been used as a food source and as a traditional medicine for thousands of years. Without adequate knowledge of gene expression profiles, there has been no report of validated reference genes inAmorphophallus. In this study, nine genes that are usually used as reference genes in other crops were selected as candidate reference genes. These putative sequences of these genesAmorphophalluswere cloned by the use of degenerate primers. The expression stability of each gene was assessed in different tissues and under two abiotic stresses (heat and waterlogging) inA. albusandA. konjac. Three distinct algorithms were used to evaluate the expression stability of the candidate reference genes. The results demonstrated thatEF1-a,EIF4A,H3andUBQwere the best reference genes under heat stress inAmorphophallus. Furthermore,EF1-a,EIF4A,TUB, andRPwere the best reference genes in waterlogged conditions. By comparing different tissues from all samples, we determined thatEF1-α,EIF4A,andCYPwere stable in these sets. In addition, the suitability of these reference genes was confirmed by validating the expression of a gene encoding the small heat shock proteinSHSP, which is related to heat stress inAmorphophallus. In sum,EF1-αandEIF4Awere the two best reference genes for normalizing mRNA levels in different tissues and under various stress treatments, and we suggest using one of these genes in combination with 1 or 2 reference genes associated with different biological processes to normalize gene expression. Our results will provide researchers with appropriate reference genes for further gene expression quantification using RT-qPCR inAmorphophallus.

2021 ◽  
Author(s):  
Young-Mi Lee ◽  
Soyeon In ◽  
Se-Joo Kim ◽  
Eun-Ji Won ◽  
Hayoung Cho ◽  
...  

Abstract Real-time quantitative reverse transcription polymerase chain reaction (qRT-PCR), a primary approach for evaluating gene expression, requires an appropriate normalization strategy to rule out variations in gene expression among samples. The best option is to use a reference gene whose expression level is stable across various experimental conditions to compare the mRNA levels of a target gene. However, there is limited information on how the reference gene is differentially expressed at different ages (growth) in small invertebrates with notable changes such as molting. In this study, expression profiles of nine candidate reference genes from the brackish water flea, Diaphanosoma celebensis, were evaluated under diverse exposure to toxicants and according to growth. As a result, four different algorithms showed similar stabilities of genes for chemical exposures in the case of limited conditions using the same developmental stage (e.g., adult), while the results according to age showed a significantly different pattern in suite of candidate reference genes. This affected the results of genes EcRA and GST, which are involved in development and detoxification mechanisms, respectively. Our finding is the first step towards establishing a standardized real-time qRT-PCR analysis of this environmentally important invertebrate that has potential for aquatic ecotoxicology, particularly in estuarine environments.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Young-Mi Lee ◽  
Hayoung Cho ◽  
Ryeo-Ok Kim ◽  
Soyeon In ◽  
Se-Joo Kim ◽  
...  

AbstractReal-time quantitative reverse transcription polymerase chain reaction (qRT-PCR), a primary approach for evaluating gene expression, requires an appropriate normalization strategy to confirm relative gene expression levels by comparison, and rule out variations that might occur in analytical procedures. The best option is to use a reference gene whose expression level is stable across various experimental conditions to compare the mRNA levels of a target gene. However, there is limited information on how the reference gene is differentially expressed at different ages (growth) in small invertebrates with notable changes such as molting. In this study, expression profiles of nine candidate reference genes from the brackish water flea, Diaphanosoma celebensis, were evaluated under diverse exposure to toxicants and according to growth. As a result, four different algorithms showed similar stabilities of genes for chemical exposures in the case of limited conditions using the same developmental stage (H2A was stable, whereas Act was fairly unstable in adults), while the results according to age showed a significantly different pattern in suite of candidate reference genes. This affected the results of genes EcRA and GST, which are involved in development and detoxification mechanisms, respectively. Our finding is the first step towards establishing a standardized real-time qRT-PCR analysis of this environmentally important invertebrate that has potential for aquatic ecotoxicology, particularly in estuarine environments.


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.


2021 ◽  
Author(s):  
Zhongyi Yang ◽  
Rui Zhang ◽  
Zhichun Zhou

Abstract Background Quantitative real-time PCR (qRT-PCR) is a reliable and high-throughput technique for gene expression studies, but its accuracy depends on the expression stability of reference genes. Schima superba is a strong resistance and fast-growing timber specie. However, so far, reliable reference gene identifications have not been reported in S. superba. In this study, we screened and verified the stably expressed reference genes in different tissues of S. superba.Results Nineteen candidate reference genes were selected and evaluated for their expression stability in different tissues. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the reference gene transcript stabilities, and comprehensive stability ranking was generated by the geometric mean method. Our results identified that SsuACT was the most stable reference gene, SsuACT + SsuRIB was the best reference genes combination for different tissues. Finally, the stable and less stable reference genes were verified using the SsuSND1 expression in different tissues.Conclusions This is the first report to verify the appropriate reference genes for normalizing gene expression in S. superba for different tissues, which will facilitate future elucidation of gene regulations in this species, and useful references for relative species.


1970 ◽  
Vol 28 (6) ◽  
Author(s):  
Fowotade Adeola

BACKGROUND: Polymerase Chain Reaction (PCR) has become an important diagnostic and research tool of modern molecular biology globally. Real-time PCR allows for rapid and reliable quantification of mRNA transcription. Reference genes are used as internal reaction control to normalise mRNA levels between different samples in order to allow for an exact comparison of mRNA transcription level.METHODS: In this study, twelve commonly used human reference genes were investigated in Human Embryonic Kidney Cell Lines (HEK293) using real-time qPCR with SYBR green. The genes included beta-2-microglobulin (B2M), glyceraldehyde-3- phosphate dehydrogenase (GAPDH), succinate dehydrogenase complex subunit A (SDHA), and tyrosine 3- monooxygenase/tryptophan 5-monooxygenase activation protein zeta polypeptide (YWHAZ). The stability of these reference genes was investigated using the geNorm application.RESULTS: The range of expression stability in the genes analysed was (from the most stable to the least stable): UBC, TOP1, ATP5B, CYC1, GAPDH, SDHA, YWHAZ, CTB, 18S, EIFA-2, B2M and RPL13A. The optimal number of reference targets in the experiment was calculated to be 2 (geNorm V<0.15) when comparing a normalization factor based on the 2 or 3 most stable targets).CONCLUSION: The expression stability varied greatly between the 12 candidate reference genes. UBC, TOP1, ATP5B, CYC1 and GAPDH respectively showed the highest stability in HEK293 cells based on both expression stability and expression level. Overall, our data suggest that UBC and TOP1show the least variation and the highest expression stability. This report validates the need for rational selection of reference genes for data normalization to ensure accuracy of quantitative PCR assays. 


PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e1837 ◽  
Author(s):  
Qiang Liu ◽  
Chi Wei ◽  
Ming-Fang Zhang ◽  
Gui-Xia Jia

Normalization to reference genes is the most common method to avoid bias in real-time quantitative PCR (qPCR), which has been widely used for quantification of gene expression. Despite several studies on gene expression,Lilium, and particularlyL. regale, has not been fully investigated regarding the evaluation of reference genes suitable for normalization. In this study, nine putative reference genes, namely18S rRNA,ACT,BHLH,CLA,CYP,EF1,GAPDH,SANDandTIP41, were analyzed for accurate quantitative PCR normalization at different developmental stages and under different stress conditions, including biotic (Botrytis elliptica), drought, salinity, cold and heat stress. All these genes showed a wide variation in their Cq (quantification Cycle) values, and their stabilities were calculated by geNorm, NormFinder and BestKeeper. In a combination of the results from the three algorithms,BHLHwas superior to the other candidates when all the experimental treatments were analyzed together;CLAandEF1were also recommended by two of the three algorithms. As for specific conditions,EF1under various developmental stages,SANDunder biotic stress,CYP/GAPDHunder drought stress, andTIP41under salinity stress were generally considered suitable. All the algorithms agreed on the stability ofSANDandGAPDHunder cold stress, while onlyCYPwas selected under heat stress by all of them. Additionally, the selection of optimal reference genes under biotic stress was further verified by analyzing the expression level ofLrLOXin leaves inoculated withB. elliptica. Our study would be beneficial for future studies on gene expression and molecular breeding ofLilium.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Bo Wang ◽  
Huirong Duan ◽  
Peifang Chong ◽  
Shiping Su ◽  
Lishan Shan ◽  
...  

Abstract Suitable reference genes can be used to calibrate the error in quantitative real-time PCR (qPCR) experiments, making the results more credible. However, there are no reference genes suitable for multiple species and under different experimental conditions. Nitraria tangutorum Bobr. is a typical plant native to desert areas. It is drought-resistant, saline-alkali resistant, extreme temperatures-resistant, and has strong adaptability. To date, the importance of this germplasm has not been sufficiently understood; therefore, it is still unclear which genes can be used as reference genes to calibrate qPCR data of N. tangutorum. In this study we analyzed the expression levels of 10 candidate reference genes (ACT, GAPDH, TUA, TUB, CYP, UBC, His, PP2A, HSP, and EF1-α) in N. tangutorum seedlings under a series of experimental conditions, including in different organs (root, stem, and leaf) and under abiotic stresses (salt, drought, heat, and cold) and hormone stimuli (abscisic acid) by qPCR. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the expression stability of the ten genes. Comprehensive analysis showed that EF1-α and His had the best expression stability, whereas HSP was the least suitable as a reference gene. The expression profile of NtCER7, a gene related to the regulation of cuticular wax biosynthesis in N. tangutorum, verified the accuracy of the experimental results. Based on this study, we recommend EF1-α and His as suitable reference genes for N. tangutorum. This paper provides the first data on stable reference genes in N. tangutorum, which will be beneficial to studying the gene expression of N. tangutorum and other Nitraria species in the future.


Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 193
Author(s):  
Dandan Li ◽  
Sen Yu ◽  
Minzhen Zeng ◽  
Xiao Liu ◽  
Jia Yang ◽  
...  

Larix olgensis Henry is an important afforestation species in northeastern China because of its fast juvenile growth, high-quality timber, and significant economic and ecological values. The selection of appropriate reference genes is necessary for the normalization of gene expression determination during quantitative real-time polymerase chain reaction (qRT-PCR) experiments. In this study, qRT-PCR was used to study gene expression. Three software packages geNorm, NormFinder, BestKeeper were used, and a comprehensive ranking of candidate reference genes was produced based on their output to evaluate the expression stability of 16 candidate reference genes from L. olgensis under drought, salt, cold, and heat stress. PP2A-1 and GAPDH ranked as the most stable reference genes under drought and cold stress, PP2A-1 and UBQ10 were most stable under salt stress, and TIP41 and ACT2 were most stable under heat stress. The least stable gene was ADP, which ranked the last under all treatments. Expression profile analysis of the antioxidant gene CAT using the two most stable and the single least stable reference genes under each stress further verified that the selected reference genes were suitable for gene expression normalization. This study provides an important foundation for the selection of suitable reference genes for the normalization and quantification of L. olgensis gene expression under abiotic stress conditions.


Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 732
Author(s):  
Zhongyi Yang ◽  
Rui Zhang ◽  
Zhichun Zhou

Real-time quantitative PCR (RT-qPCR) is a reliable and high-throughput technique for gene expression studies, but its accuracy depends on the expression stability of reference genes. Schima superba is a fast-growing timber species with strong resistance. However, thus far, reliable reference gene identifications have not been reported in S. superba. In this study, 19 candidate reference genes were selected and evaluated for their expression stability in different tissues of S. superba. Three software programs (geNorm, NormFinder, and BestKeeper) were used to evaluate the reference gene transcript stabilities, and comprehensive stability ranking was generated by the geometric mean method. Our results show that SsuACT was the most stable reference gene and that SsuACT + SsuRIB was the best reference gene combination for different tissues. Finally, the stable and less stable reference genes were verified using SsuSND1 expression in different tissues. To our knowledge, this is the first report to verify appropriate reference genes for normalizing gene expression in S. superba for different tissues, which will facilitate the future elucidation of gene regulations in this species and useful references for relative species.


Sign in / Sign up

Export Citation Format

Share Document