Reference gene selection for qRT-PCR analyses of luffa (Luffa cylindrica) plants under abiotic stress conditions

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.

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Reference Gene Selection for qRT-PCR Analyses of Luffa (Luffa cylindrica) Plants Under Abiotic Stress Conditions

10.21203/rs.3.rs-65316/v1 ◽

2020 ◽

Author(s):

mindong chen ◽

bin wang ◽

yongping li ◽

meijuan zeng ◽

jianting liu ◽

...

Keyword(s):

Gene Expression ◽

Reference Gene ◽

Abiotic Stresses ◽

Reference Genes ◽

Expression Patterns ◽

Cold Treatment ◽

Suitable Reference Gene ◽

Expression Levels ◽

Qrt Pcr ◽

Suitable Reference

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

Scientific Reports ◽

10.1038/s41598-021-92780-1 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Madhab Kumar Sen ◽

Kateřina Hamouzová ◽

Pavlina Košnarová ◽

Amit Roy ◽

Josef Soukup

Keyword(s):

Reference Gene ◽

Herbicide Resistance ◽

Reference Genes ◽

Gene Selection ◽

High Yield ◽

Suitable Reference Gene ◽

Grass Species ◽

Experimental Conditions ◽

Qrt Pcr ◽

Suitable Reference

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.

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Reference gene selection for expression studies in the reproductive axis tissues of Magang geese at different reproductive stages under light treatment

Scientific Reports ◽

10.1038/s41598-021-87169-z ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Bei-Bei Zhang ◽

Xu Shen ◽

Xiu-Jin Li ◽

Yun-Bo Tian ◽

Hong-Jia Ouyang ◽

...

Keyword(s):

Gene Expression ◽

Quantitative Pcr ◽

Reference Gene ◽

Reference Genes ◽

Gene Selection ◽

Light Treatment ◽

Suitable Reference Gene ◽

Reproductive Axis ◽

Expression Studies ◽

Suitable Reference

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.

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Identification of the Most Suitable Reference Gene for Gene Expression Studies With Development and Abiotic Stress Response in Bromus Sterilis

10.21203/rs.3.rs-156798/v1 ◽

2021 ◽

Author(s):

Madhab Kumar Sen ◽

Katerina Hamouzova ◽

Pavlina Kosnarova ◽

Amit Roy ◽

Josef Soukup

Keyword(s):

Reference Gene ◽

Herbicide Resistance ◽

Reference Genes ◽

Gene Selection ◽

High Yield ◽

Suitable Reference Gene ◽

Grass Species ◽

Experimental Conditions ◽

Qrt Pcr ◽

Suitable Reference

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.

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Transcriptome-wide identification and validation of reference genes of Black rockfish (Sebastes schlegelii) for quantitative RT-PCR

10.21203/rs.3.rs-17096/v1 ◽

2020 ◽

Author(s):

Chaofan Jin ◽

Weihao Song ◽

Mengya Wang ◽

Jie Qi ◽

Quanqi Zhang ◽

...

Keyword(s):

Gene Expression ◽

Reference Gene ◽

Reference Genes ◽

Developmental Stages ◽

Suitable Reference Gene ◽

Rt Pcr ◽

Black Rockfish ◽

Qrt Pcr ◽

Sebastes Schlegelii ◽

Suitable Reference

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.

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Identification and selection of reference genes for gene expression analysis by quantitative real-time PCR in Suaeda glauca’s response to salinity

Scientific Reports ◽

10.1038/s41598-021-88151-5 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Meng Wang ◽

Tingting Ren ◽

Prince Marowa ◽

Haina Du ◽

Zongchang Xu

Keyword(s):

Gene Expression ◽

Real Time ◽

Reference Gene ◽

Reference Genes ◽

Suitable Reference Gene ◽

Normalize Gene Expression ◽

Suaeda Glauca ◽

Suitable Reference ◽

Germinating Seeds ◽

Different Tissues

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.

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Comparison of Reliable Reference Genes Following Different Hormone Treatments by Various Algorithms for qRT-PCR Analysis of Metasequoia

International Journal of Molecular Sciences ◽

10.3390/ijms20010034 ◽

2018 ◽

Vol 20 (1) ◽

pp. 34 ◽

Cited By ~ 3

Author(s):

Jing-Jing Wang ◽

Shuo Han ◽

Weilun Yin ◽

Xinli Xia ◽

Chao Liu

Keyword(s):

Gene Expression ◽

Reference Genes ◽

Elongation Factor ◽

Pcr Analysis ◽

Qrt Pcr ◽

Gene Normalization ◽

Accurate Normalization ◽

Suitable Reference ◽

Different Tissues ◽

Gene Expression Levels

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.

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Selection and Stability Validation of Reference Gene Candidates for Transcriptional Analysis in Rousettus Aegyptiacus

10.21203/rs.3.rs-604945/v1 ◽

2021 ◽

Author(s):

Virginia Friedrichs ◽

Anne Balkema-Buschmann ◽

Anca Dorhoi ◽

Gang Pei

Keyword(s):

Body Temperature ◽

Reference Gene ◽

Reference Genes ◽

Core Body Temperature ◽

Transcriptional Analysis ◽

Suitable Reference Gene ◽

Type I ◽

Expression Stability ◽

Qrt Pcr ◽

Suitable Reference

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.

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Identification of suitable reference genes of Scylla paramamosain for gene expression profiling in various tissues and under vibrio challenge

Crustaceana ◽

10.1163/15685403-00003823 ◽

2018 ◽

Vol 91 (10) ◽

pp. 1195-1210 ◽

Cited By ~ 2

Author(s):

Yabo Fang ◽

Le Diao ◽

Fengying Zhang ◽

Lingbo Ma ◽

Mengdi Zhao ◽

...

Keyword(s):

Gene Expression ◽

Reference Gene ◽

Reference Genes ◽

18S Rrna ◽

Elongation Factor ◽

Scylla Paramamosain ◽

Mud Crab ◽

Expression Levels ◽

Qrt Pcr ◽

Elongation Factor 1

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.

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Reference Gene Selection for qPCR Normalization ofKosteletzkya virginicaunder Salt Stress

BioMed Research International ◽

10.1155/2015/823806 ◽

2015 ◽

Vol 2015 ◽

pp. 1-8 ◽

Cited By ~ 8

Author(s):

Xiaoli Tang ◽

Hongyan Wang ◽

Chuyang Shao ◽

Hongbo Shao

Keyword(s):

Gene Expression ◽

Reference Gene ◽

Reference Genes ◽

Gene Selection ◽

Expression Profiles ◽

Elongation Factor ◽

Gene Expression Profiles ◽

Stable Reference Gene ◽

Experimental Conditions ◽

Suitable Reference

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.

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