scholarly journals Expression stability of internal reference gene in response to Trichoderma polysporum infection in Avena fatua L.

2021 ◽  
Author(s):  
Haixia Zhu ◽  
Yongqiang Ma ◽  
Qingyun Guo
2021 ◽  
Author(s):  
Haixia Zhu ◽  
Yongqiang Ma ◽  
Liang Cheng

Abstract In order to construct a RT-qPCR system suitable for response of Avena fatua L. to Trichoderma polysporum , and screen stable internal reference genes, GeNorm, NormFinder, BestKeeper and RefFinde were used to perform SYBR Green-based RT-qPCR analysis on 8 candidate internal reference genes ( 18S , 28S , TUA , UBC , ACT , GAPDH , TBP and EF-1 ) in A. fatua samples after inoculation of T. polysporum Strain HZ-31. The results showed that TBP , 18S and UBC were the most stable internal reference genes, TBP and TUA , TBP and GAPDH , 18S and TBP , UBC and 18S were the most suitable combination of the two internal reference genes, which could be used as the internal reference genes for functional gene expression analysis during the interaction between T. polysporum and A. fatua .


2010 ◽  
Vol 50 (3) ◽  
pp. 302-305 ◽  
Author(s):  
Luca Losurdo ◽  
Francesca Italiano ◽  
Massimo Trotta ◽  
Raffaele Gallerani ◽  
Ruggiero Ceci Luigi ◽  
...  

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2763 ◽  
Author(s):  
Xiaofeng Wang ◽  
Jinting He ◽  
Wei Wang ◽  
Ming Ren ◽  
Sujie Gao ◽  
...  

BackgroundThe aim of this study was to determine the expression stabilities of 12 common internal reference genes for the relative quantitation analysis of target gene expression performed by reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR) in human laryngeal cancer.MethodsHep-2 cells and 14 laryngeal cancer tissue samples were investigated. The expression characteristics of 12 internal reference gene candidates (18S rRNA, GAPDH, ACTB, HPRT1, RPL29, HMBS, PPIA, ALAS1, TBP, PUM1, GUSB, and B2M) were assessed by RT-qPCR. The data were analyzed by three commonly used software programs: geNorm, NormFinder, and BestKeeper.ResultsThe use of the combination of four internal reference genes was more appropriate than the use of a single internal reference gene. The optimal combination was PPIA + GUSB + RPL29 + HPRT1 for both the cell line and tissues; while the most appropriate combination was GUSB + RPL29 + HPRT1 + HMBS for the tissues.ConclusionsOur recommended internal reference genes may improve the accuracy of relative quantitation analysis of target gene expression performed by the RT-qPCR method in further gene expression research on laryngeal tumors.


2013 ◽  
Vol 1 (2) ◽  
pp. 193-196 ◽  
Author(s):  
YASUHIRO NIHON-YANAGI ◽  
KENSUKE TERAI ◽  
TAKEYOSHI MURANO ◽  
TAKAYUKI KAWAI ◽  
SHINYA KIMURA ◽  
...  

Phyton ◽  
2020 ◽  
Vol 89 (2) ◽  
pp. 329-344
Author(s):  
Gang Li ◽  
Yao Zhou ◽  
Yaqi Zhao ◽  
Yaxue Liu ◽  
Yuwei Ke ◽  
...  

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 1014
Author(s):  
Deng Zhang ◽  
Jingjian Li ◽  
Buye Li ◽  
Chunmei Li ◽  
Xiaoyang Chen ◽  
...  

Neolamarckia cadamba, a member of the Rubiaceae family, is widely distributed throughout South Asia and South China. In order to acquire reliable and repeatable results, the use of a suitable internal reference gene to normalize the RT-qPCR data is essential. In this study, we reported the validation of housekeeping genes to identify the most suitable internal reference gene(s) for normalization of qPCR data obtained among different tissues (bud, leaf, cambium region) under different hormone stresses. Here, ΔCt, geNorm, NormFinder, and BestKeeper analyses were carried out to analyze the normalization of qPCR data of twenty-one reference gene families (ACT, CAC, CYP, EF1α, eIF, FPS1, FBK, GAPDH, RAN, PEPKR1, PP2A, RPL, RPS, RuBP, SAMDC, TEF, Tub-α, Tub-β, UBCE, UBQ, UPL) including 43 genes. The results showed that FPS1, RPL, and FBK were the most stable reference genes across all of the tested samples. In addition, the expression of NcEXPA8, one gene of interest that plays an important role in regulating cell wall extension, under different phytohormone stresses was used to further confirm the validated reference genes. Taken together, our results provide guidelines for reference gene selection under different phytohormone stresses and a foundation for more accurate and widespread use of RT-qPCR in N. cadamba.


PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0241821
Author(s):  
Yi-Hui Gu ◽  
Xi-Wei Cui ◽  
Jie-Yi Ren ◽  
Man-Mei Long ◽  
Wei Wang ◽  
...  

Real-time quantitative PCR (RT-qPCR) has been widely applied in uncovering disease mechanisms and screening potential biomarkers. Internal reference gene selection determines the accuracy and reproducibility of data analyses. The aim of this study was to identify the optimal reference genes for the relative quantitative analysis of RT-qPCR in fourteen NF1 related cell lines, including non-tumor, benign and malignant Schwann cell lines. The expression characteristics of eleven candidate reference genes (RPS18, ACTB, B2M, GAPDH, PPIA, HPRT1, TBP, UBC, RPLP0, TFRC and RPL32) were screened and analyzed by four software programs: geNorm, NormFinder, BestKeeper and RefFinder. Results showed that GAPDH, the most frequently used internal reference gene, was significantly unstable between various cell lines. The combinational use of two reference genes (PPIA and TBP) was optimal in malignant Schwann cell lines and the use of single reference genes (PPIA or PRLP0) alone or in combination was optimal in benign Schwann cell lines. These recommended internal reference gene selections may improve the accuracy and reproducibility of RT-qPCR in gene expression analyses of NF1 related tumors.


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.


2020 ◽  
Author(s):  
Kensuke Okamura ◽  
Yusuke Inagaki ◽  
Takeshi K. Matsui ◽  
Masaya Matsubayashi ◽  
Tomoya Komeda ◽  
...  

AbstractReverse transcription quantitative PCR (RT-qPCR) is used to quantify gene expression and require standardization with reference genes. We sought to identify the reference genes best suited for experiments that induce osteogenic differentiation from human induced pluripotent stem (iPS) cells. They were cultured in an undifferentiated maintenance medium and after confluence, further cultured in an osteogenic differentiation medium for 28 days. RT-qPCR was performed on undifferentiation markers, osteoblast and osteocyte differentiation markers, and reference gene candidates. The expression stability of each reference gene candidate was ranked using four algorithms. General rankings identified TATA box binding protein (TBP) in the first place, followed by transferrin receptor (TFRC), ribosomal protein large P0 (RPLP0), and finally, beta-2-microglobulin (B2M), which was revealed as the least stable. Interestingly, universally used GAPDH and ACTB were found to be unsuitable. Our findings strongly suggest a need to evaluate the expression stability of reference gene candidates for each experiment.


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