51. Reference genes for gene expression studies targeting sugarcane infected with Sugarcane mosaic virus (SCMV)
- Author
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Cibele Nataliane Medeiros, Marcel Fernando da Silva, Larissa Mara de Andrade, Luciana Rossini Pinto, Paula Macedo Nobile, Silvana Creste, Michael dos Santos Brito, and Marcos Cesar Gonçalves
- Subjects
0301 basic medicine ,Saccharum spp ,BestKeeper ,Potyvirus ,Gene Expression ,lcsh:Medicine ,Genes, Plant ,Real-Time Polymerase Chain Reaction ,General Biochemistry, Genetics and Molecular Biology ,RefFinder ,Transcriptome ,GeNorm ,03 medical and health sciences ,RNA Virus Infections ,0302 clinical medicine ,Reference genes ,Gene expression ,030212 general & internal medicine ,lcsh:Science (General) ,Gene ,lcsh:QH301-705.5 ,Plant Diseases ,Genetics ,biology ,Gene Expression Profiling ,Strain (biology) ,lcsh:R ,NormFinder ,General Medicine ,biology.organism_classification ,Reverse transcriptase ,Saccharum ,Research Note ,Normalization ,030104 developmental biology ,Real-time polymerase chain reaction ,Sugarcane mosaic disease ,Sugarcane mosaic virus ,lcsh:Biology (General) ,Brazil ,lcsh:Q1-390 - Abstract
Objective The selection of reference genes in sugarcane under Sugarcane mosaic virus (SCMV) infection has not been reported and is indispensable to get reliable reverse transcription quantitative PCR (RT-qPCR) results for validation of transcriptome analysis. In this regard, seven potential reference genes were tested by RT-qPCR and ranked according to their stability using BestKeeper, NormFinder and GeNorm algorithms, and RefFinder WEB-based software in an experiment performed with samples from two sugarcane cultivars contrasting for SCMV resistance, when mechanically inoculated with a severe SCMV strain and using mock inoculated plant controls. Results The genes Uridylate kinase (UK) and Ubiquitin-conjugating enzyme 18 (UBC18) were the most stable according to GeNorm algorithm and the Pearson correlation coefficients with the BestKeeper index. On the other hand, ribosomal protein L35-4 (RPL1), Actin (ACT) and Ubiquitin1 (UBQ1) were the least stable genes for all algorithms tested. Electronic supplementary material The online version of this article (10.1186/s13104-019-4168-5) contains supplementary material, which is available to authorized users.
- Published
- 2019