2010
DOI: 10.3146/ps09-014.1
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Identification of Suitable Internal Control Genes for Quantitative Real-Time PCR Expression Analyses in Peanut (Arachis hypogaea)

Abstract: Real-time qPCR is currently the most sensitive technique available for the detection of lowlevel mRNA expression. For more reliable and precise gene expression analyses, real-time PCR data for a sequence of interest must be normalized against that of a control gene, which is uniformly expressed in various tissues and during different phases of development. So far, suitable internal controls for gene expression studies in peanut have not been identified. We assessed the expression of 10 frequently used housekee… Show more

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Cited by 32 publications
(36 citation statements)
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“…It has been identified as a novel suitable reference in A. thaliana [7] and was also shown to be one of the most stable genes used for normalization in studies of Havea brasilensis in response to tapping, hormone and salicylic acid treatment [3]. This gene was shown to be highly stable in Arabidopsis exposed to increased metal concentrations [7] and constant in different tissues of cultivated peanut [32]. The same gene was found to be less stable in various cucumber organs exposed to heavy metal stress [33].…”
Section: Discussionmentioning
confidence: 99%
“…It has been identified as a novel suitable reference in A. thaliana [7] and was also shown to be one of the most stable genes used for normalization in studies of Havea brasilensis in response to tapping, hormone and salicylic acid treatment [3]. This gene was shown to be highly stable in Arabidopsis exposed to increased metal concentrations [7] and constant in different tissues of cultivated peanut [32]. The same gene was found to be less stable in various cucumber organs exposed to heavy metal stress [33].…”
Section: Discussionmentioning
confidence: 99%
“…Working on the RNA level was preferable to working on the DNA genomic level due to the large and relatively complex peanut genome and also facilitated the detection of candidate genes. Samples were taken of each of the ground tissues (400 mg each) and were used for RNA extraction using the hot-borate method, as described by Brand and Hovav (2010). The total RNA was used to prepare two RNA-Seq libraries, using TruSeq RNA Sample Preparation Kit v2 (Illumina) following the manufacturer's protocol as described previously (Gupta et al, 2016).…”
Section: Methodsmentioning
confidence: 99%
“…Primers were [5′-GAAGTTGGCACAAATATGTGG-3′/5′-GGCATAGC TATTTTCTTCCTC-3′], [5′-CTCCGAGGAGAATAGGC-3′/5′-TTGTTTTCAGTTTTCACATCCAC-3′] and [5′-G C AT G AT TA A C A A C C TA G AT G G -3 ′ / 5 ′ -C C AT C TAGGTTGTTAATCATGC-3′] for ahSad1/2, ahSad3, and ahSad4, respectively. The alcohol dehydrogenase class III gene (adh3) that was previously found to be the preferred control gene for quantitative PCR studies in developing peanut seeds (Brand and Hovav 2010) was used as the r e f e r e n c e g e n e ( p r i m e r s :…”
Section: Quantitative Pcrmentioning
confidence: 99%
“…Total RNA was extracted using the hot borate (sodium borate decahydrate) method, as previously described (Brand and Hovav 2010). In brief, tissue samples were ground in liquid nitrogen and were combined with 8 mL of borate buffer [0.2 M sodium borate decahydrate; 30 mM ethylene glycol tetraacetic acid; 1% (wt/vol) sodium dodecyl sulfate; 1% sodium deoxycholic acid; 10 mM dithiothreitol; 1% IGEPAL CA-630 (Nonidet P-40, NP-40); 2% (wt/vol) polyvinylpyrrolidone (PVP)-40] at 65°C.…”
Section: Rna Isolation and Cdna Synthesismentioning
confidence: 99%