Abstract
Due to its high sensitivity and reproducibility, quantitative real-time PCR (qPCR) is practiced as a useful research tool for targeted gene expression analysis. For qPCR operations, the normalization with suitable reference genes (RGs) is a crucial step that eventually determines the reliability of the obtained results. Although pepper is considered an ideal model plant for the study of non-climacteric fruit development, at present no specific RG have been developed or validated for the qPCR analyses of pepper fruit. Therefore, this study aimed to identify stably expressed genes for their potential use as RGs in pepper fruit studies. Initially, a total of 35 putative RGs were selected by mining the pepper transcriptome data sets derived from the PGP (Pepper Genome Platform) and PGD (Pepper Genome Database). Their expression stabilities were further measured in a set of pepper (Capsicum annuum L. var. 007e) fruit samples, which represented four different fruit developmental stages (IM: Immature; MG: Mature green; B: Break; MR: Mature red) using the qPCR analysis. Then, based on the qPCR results, three different statistical algorithms, namely geNorm, Normfinder, and boxplot, were chosen to evaluate the expression stabilities of these putative RGs. It should be noted that nine genes were proven to be qualified as RGs during pepper fruit development, namely CaREV05 (CA00g79660); CaREV08 (CA06g02180); CaREV09 (CA06g05650); CaREV16 (Capana12g002666); CaREV21 (Capana10g001439); CaREV23 (Capana05g000680); CaREV26 (Capana01g002973); CaREV27 (Capana11g000123); CaREV31 (Capana04g002411); and CaREV33 (Capana08g001826). Further analysis based on geNorm suggested that the application of the two most stably expressed genes (CaREV05 and CaREV08) would provide optimal transcript normalization in the qPCR experiments. Therefore, a new and comprehensive strategy for the identification of optimal RGs was developed. This strategy allowed for the effective normalization of the qPCR analysis of the pepper fruit development at the whole pepper genome level. This study not only explored the optimal RGs specific for studying pepper fruit development, but also introduced a referable strategy of RG mining which could potentially be implicated in other plant species.
Highlights
Over the last several decades, pepper (Capsicum annuum L.) has become an economically important vegetable all over the world
Quantitative real-time PCR is a frequently used biological means for elucidating the molecular mechanisms of the genes of interest which are involved in various biological processes, such as the carotenoid and capsaicin metabolisms in pepper fruit (Curry et al, 1999; Ginzinger, 2002; Sung et al, 2005)
The relative expressions of these previously identified reference genes (RGs) were analyzed, and the results indicated their instabilities during different stages of the pepper fruit development (Figures 1A,B)
Summary
Over the last several decades, pepper (Capsicum annuum L.) has become an economically important vegetable all over the world. In qPCR experiments, the gene expressions can be quantified by normalization with one or more of the stably expressed internal reference genes (RGs) (Pfaffl et al, 2004; Huggett et al, 2005). This process can remove the non-biological variations caused by such factors as the different amounts and quality of the starting material, variable enzymatic efficiency of the reverse transcription, or sample differences in the overall transcriptional activity (Suzuki et al, 2000; Bustin et al, 2005; Exposito-Rodriguez et al, 2008). It is known that the stabilities of the internal RGs are critical for reliable and accurate qPCR results (Huggett et al, 2005; Gutierrez et al, 2008; Guénin et al, 2009)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
