Reference Gene Validation for Quantitative PCR Under Various Biotic and Abiotic Stress Conditions inToxoptera citricida(Hemiptera, Aphidiae)

2015 ◽  
Vol 108 (4) ◽  
pp. 2040-2047 ◽  
Author(s):  
Feng Shang ◽  
Dan-Dan Wei ◽  
Xuan-Zhao Jiang ◽  
Dong Wei ◽  
Guang-Mao Shen ◽  
...  
2021 ◽  
Author(s):  
Puspha Doddaraju ◽  
Pavan Kumar ◽  
Mahesh S Dashyal ◽  
Manjunath Girigowda

Abstract Pomegranate (Punica granatum) is an important economic fruit crop, facing many biotic and abiotic challenges during cultivation. Several research programs are in progress to understand both biotic and abiotic stress factors and mitigate these challenges using gene expression studies based on the qPCR approach. However, research publications are not available yet to select the standard reference gene for normalizing target gene expression values in pomegranate. The most suitable candidate reference gene is required to ensure precise and reliable results for qPCR analysis. In the current research, eight candidate reference genes' stability was evaluated under different stress conditions using different algorithms such as ∆Ct, geNorm, BestKeeper, NormFinder and RefFinder. The various algorithms revealed that EFA1 and 18S rRNA were common and most stable reference genes (RGs) under abiotic and wilt stress. Whereas comprehensive ranking by RefFinder showed GAPDH and CYPF were the most stable RGs under combined biotic (pooled samples of all biotic stress) and bacterial blight samples. The two most stable reference genes are adequate for normalizing target gene expression under wilt, nematode, bacterial blight and abiotic stress conditions using qPCR. The above data provide comprehensive details for the selection of a candidate reference gene in various stresses in pomegranate


2011 ◽  
Vol 49 (1) ◽  
pp. 96-102 ◽  
Author(s):  
Kristina A.E. Larsson ◽  
Sefiu A. Saheed ◽  
Therese Gradin ◽  
Gabriele Delp ◽  
Barbara Karpinska ◽  
...  

2020 ◽  
Author(s):  
Chuan Shen ◽  
Jingyuan Li ◽  
Caiyan Wei ◽  
Xudong Zhang ◽  
Yunfeng Wu

Abstract Background: P. huashanica ( Psathyrostachys huashanica ), known as an important resistance resource reservoir, is a rare and endangered plant growing suitably in Huashan mount region and would be urgently exploited in wheat genetic improvements sooner. During the utilization process, different IRGs (internal reference genes) need to be appropriately selected as standards based on biotic and abiotic stress conditions. It is crucial that Real-time RT-qPCR with combination of bioinformatics were adopted to explore the reliable IRGs from transcriptome of P . huashanica.Results: The present work reported new 3 species of IRGs, UBC2 , UBC17, 18S rRNA , which were screened from transcriptome of P. huashanica under biotic and abiotic stress conditions, using RT-qPCR and four algorithms, including geNorm, NormFinder, BestKeeper, and RefFinder, to analyse expression of sixteen candidate reference genes. These genes appear as following 18S rRNA (18S ribosomal RNA), EF1-α (eukaryotic elongation factor 1 alpha), UBC2 (ubiquitin-conjugating enzyme E2-2), UBC17 (ubiquitin-conjugating enzyme E2-17), α-TUB2A (alpha tubulin-2A), β-TUB3 (beta tubulin 3), ADF4 (Actin-depolymerising factor 4), ACTIN (actin), GAPDH (Glyceraldehyde-3-phosphate dehydrogenase), 60SARP (60S acidic ribosomal protein), UBQ (polyubiquitin), SamDC (S-Adenosylmethionine decarboxylase), EIF4A (eukaryotic initiation factor 4A), ARF (ADP-ribosylation factor), HIS1 (histone H1), and HIS2B (histone H2B). Analysis of gene expression demonstrated that the expression of UBC2 gene was most stable under ABA hormone stress, low temperature stress and high temperature stress, similarly, UBC17 gene under IAA hormone stress, salinity stress and drought stress, both UBC17 genes and 18S rRNA genes under abiotic and biotic stress, respectively. The most stable gene was UBC2 gene in the root, UBC17 gene in stem and leaf. In this study, α-TUB2A , UBC and ACTIN genes were verified as the suitable reference genes across all tested samples. To further validate the suitability of the selected reference genes, we evaluated the relative expression of PsaCPK3 (Calcium-dependent protein kinase) and PsaHSP70-1 (heat shock protein 70-1), which are stress-related genes that may be involved in response to adversity.Conclusions: This study has identified a set of the most stable IRGs suiting for RT-qPCR detection of a few target gene expressions from P . huashanica in different experimental conditions. In addition, this study should provide the accuracy information for gene expression analysis in P . huashanica .


Author(s):  
Vandana Thakral ◽  
Javaid Akhter Bhat ◽  
Nirbhay Kumar ◽  
Balraj Myaka ◽  
Sreeja Sudhakaran ◽  
...  

2021 ◽  
Author(s):  
Deepika Mohanta ◽  
Sandip Debnath

Abstract Background: Multidrug and toxic compound extrusion (MATE) genes are a group of multidrug efflux transporters that widely exists in all living organisms and play a major role in the detoxification of heavy metals, metalloids, exogenous xenobiotics and endogenous secondary metabolites out of the cells. However, insilico analysis of MATE gene family in plant species is very limited and thus such analysis need to be elucidated in wheat.Results: We have identified forty-four MATE genes in wheat and categorized into seven families based on their phylogenetic analysis. Further, 43 genes were found to exhibit protein-protein interaction at the protein level by using STRING software. We observed that the maximum number of exons i.e., 14 was identified in genes TraesCS6A02G418800.1 and TraesCS6D02G407900.1. We employed MEME software to find protein motifs associated with the MATE genes where maximum number of motifs were set to 22. Here, the protein motifs among the families 1,2 and 3 were significantly different from the rest. We found that the majority of MATE genes were showing expressions during biotic stress conditions due to disease infestations and the highest level of expression was shown by the gene TraesCS5B02G326600.1 belonging to family 1 which got expressed during Fusarium head blight infestation by Fusarium graminearum after 4 days of inoculation by using Wheat expression browser tool. A total of 39 ternary plots consisting of homoeologous genes for 39 MATE genes, showing different level of expressions during biotic and abiotic stress conditions were composed, where we found 44 % of the triads tend to show non balanced expressions (extreme values) due to their higher tissue- specificity and greater intensity.Conclusion: The results obtained from this study indicated that total 44 MATE genes were found to be directly involved in the metabolism of wheat and were expressed during different biotic and abiotic stress conditions. So such genes can be further evaluated for their interaction with heavy toxic metal elements and sequestration from the cells.


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