Back to Search
Start Over
Selection of reliable reference genes for RT-qPCR analysis during developmental stages and abiotic stress in Setaria viridis
- Source :
- Scientific Reports
- Publication Year :
- 2016
- Publisher :
- Nature Publishing Group, 2016.
-
Abstract
- Real-time PCR (RT-qPCR) expression analysis is a powerful analytical technique, but reliable results depend on the use of stable reference genes for proper normalization. This study proposed to test the expression stability of 13 candidate reference genes in Setaria viridis, a monocot species recently proposed as a new C4 model plant. Gene expression stability of these genes was assayed across different tissues and developmental stages of Setaria and under drought or aluminum stress. In general, our results showed Protein Kinase, RNA Binding Protein and SDH as the most stable genes. Moreover, pairwise analysis showed that two reference genes were sufficient to normalize the gene expression data under each condition. By contrast, GAPDH and ACT were the least stably expressed genes tested. Validation of suitable reference genes was carried out to profile the expression of P5CS and GolS during abiotic stress. In addition, normalization of gene expression of SuSy, involved in sugar metabolism, was assayed in the developmental dataset. This study provides a list of reliable reference genes for transcript normalization in S. viridis in different tissues and stages of development and under abiotic stresses, which will facilitate genetic studies in this monocot model plant.
- Subjects :
- 0106 biological sciences
0301 basic medicine
Setaria
Setaria Plant
Genes, Plant
Real-Time Polymerase Chain Reaction
01 natural sciences
Article
03 medical and health sciences
Gene Expression Regulation, Plant
Stress, Physiological
Reference genes
Gene expression
Gene
Plant Proteins
Genetics
Regulation of gene expression
Multidisciplinary
biology
Setaria viridis
Abiotic stress
Gene Expression Profiling
Gene Expression Regulation, Developmental
biology.organism_classification
Droughts
Gene expression profiling
030104 developmental biology
Algorithms
Aluminum
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....9ecfaadc3517c67cb0f8dd06cf073e9f
- Full Text :
- https://doi.org/10.1038/srep28348