Unknown

Dataset Information

0

Validation of novel reference genes for reverse transcription quantitative real-time PCR in drought-stressed sugarcane.


ABSTRACT: One of the most challenging aspects of RT-qPCR data analysis is the identification of reliable reference genes. Ideally, they should be neither induced nor repressed under different experimental conditions. To date, few reference genes have been adequately studied for sugarcane (Saccharum spp.) using statistical approaches. In this work, six candidate genes ( ?TUB, GAPDH, H1, SAMDC, UBQ, and 25S rRNA) were tested for gene expression normalization of sugarcane root tissues from drought-tolerant and -sensitive accessions after continuous dehydration (24 h). By undergoing different approaches (GeNorm, NormFinder, and BestKeeper), it was shown that most of them could be used in combinations for normalization purposes, with the exception of SAMDC. Nevertheless three of them (H1, ?TUB, and GAPDH) were considered the most reliable reference genes. Their suitability as reference genes validated the expression profiles of two targets (AS and PFP ?1), related to SuperSAGE unitags, in agreement with results revealed by previous in silico analysis. The other two sugarcane unitags (ACC oxidase and PIP1-1), after salt stress (100 mM NaCl), presented their expressions validated in the same way. In conclusion, these reference genes will be useful for dissecting gene expression in sugarcane roots under abiotic stress, especially in transcriptomic studies using SuperSAGE or RNAseq approaches.

SUBMITTER: Silva RL 

PROVIDER: S-EPMC4060590 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

altmetric image

Publications

Validation of novel reference genes for reverse transcription quantitative real-time PCR in drought-stressed sugarcane.

Silva Roberta Lane de Oliveira RL   Silva Manassés Daniel MD   Ferreira Neto José Ribamar Costa JR   de Nardi Claudia Huerta CH   Chabregas Sabrina Moutinho SM   Burnquist William Lee WL   Kahl Günter G   Benko-Iseppon Ana Maria AM   Kido Ederson Akio EA  

TheScientificWorldJournal 20140602


One of the most challenging aspects of RT-qPCR data analysis is the identification of reliable reference genes. Ideally, they should be neither induced nor repressed under different experimental conditions. To date, few reference genes have been adequately studied for sugarcane (Saccharum spp.) using statistical approaches. In this work, six candidate genes ( αTUB, GAPDH, H1, SAMDC, UBQ, and 25S rRNA) were tested for gene expression normalization of sugarcane root tissues from drought-tolerant a  ...[more]

Similar Datasets

| S-EPMC5998039 | biostudies-literature
| S-EPMC6984700 | biostudies-literature
| S-EPMC4114093 | biostudies-literature
| S-EPMC3903635 | biostudies-literature
| S-EPMC4774131 | biostudies-literature
| S-EPMC4524153 | biostudies-literature
| S-EPMC4037571 | biostudies-literature
| S-EPMC4019594 | biostudies-literature
| S-EPMC8614340 | biostudies-literature
| S-EPMC6890252 | biostudies-literature