ArticleMolecular biology reports2020
Identification and evaluation of reference genes for reliable normalization of real-time quantitative PCR data in acerola fruit, leaf, and flower.
Article in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Screening and Validation of Appropriate Reference Genes for Real-Time Quantitative PCR under PEG, NaCl and ZnSOInternational journal of molecular sciences · 2023Article
- Validation of superior reference genes in mouse submandibular glands under developmental and functional regeneration states.International journal of molecular medicine · 2022Article
- Article
- Transcriptome-based selection and validation of optimal house-keeping genes for skin research in goats (Capra hircus).BMC genomics · 2020Article
- Identification and evaluation of reference genes for quantitative real-time PCR analysis in Passiflora edulis under stem rot condition.Molecular biology reports · 2020Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Understanding into acerola (Malpighia emarginata) molecular and biochemical bases is still obscure, despite it is one of the most important natural source of vitamin C for humans. Recently, our research group published the first data on acerola transcriptome generating valuable information to identify reference genes for RT-qPCR in this species. Hence, this study aimed to identify the most stably expressed genes based on acerola transcriptome data, and further to evaluate the suitability of F-box, U3, Merad50-ATPase, TGD4, NOB1, PA-RNA, RCC1, RBL and PGAL candidates for accurate gene expression normalization in leaf, flower and fruit at 12, 16 and 20 days after anthesis using RT-qPCR analysis. Three algorithms, geNorm, NormFinder, and BestKeeper confirmed the expression stability of all nine candidate reference genes, whereas RefFinder consensually summarized a comprehensive gene ranking. Based on geNorm, the combination of the most stable reference genes RBL and U3 for leaf/flower group, TGD4, F-box and PGAL (fruit developmental stages or fruit/leaf), RCC1, PGAL and RBL (fruit/flower) and RCC1, RBL, TGD4 and PGAL (total samples) were required for accurate normalization. Moreover, the use of these reference genes to assess the expression profile of GMP1 and NAT3 genes confirmed the reliability of ranking and defined the best combination of genes recommended by geNorm and RefFinder. This work will benefit further RT-qPCR studies in these acerola organs by offering a foundation for accurate normalization of gene expression profiling.
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