BECAS
NOVELLO MarÍa Angelina
artículos
Título:
Identification of suitable reference genes by quantitative real-time PCR for gene expression normalization in sunflower
Autor/es:
ANA CLAUDIA OCHOGAVÍA; MARÍA ANGELINA NOVELLO; LILIANA AMELIA PICARDI; GRACIELA MARÍA NESTARES
Revista:
PLANT OMICS
Editorial:
SOUTHERN CROSS PUBL
Referencias:
Lugar: Brisbane; Año: 2017 vol. 10 p. 210 - 218
ISSN:
1836-0661
Resumen:
Quantitative real-time PCR (qPCR) is currently the most accurate method for detecting differential gene expression, but dependsgreatly on normalization with stably expressed housekeeping genes. Transcriptomics analyses and experimental validation indifferent plant species have shown that the reliability of these endogenous controls can be influenced by, growth conditions andorgans/tissues examined. Thus, reliable validation of reference genes is required to ensure proper normalization. This paper presentsa systematic comparison of ten potential reference genes in sunflower: five commonly used genes (Actin, Elongation Factor1,Plastid-encode RNA polymerase, Tubulin, and Ubiquitin, as ACT, EF1, PEP, TUB, and UBQ respectively), as well as five newcandidates (Translation initiation factor, MicroRNA precursors 171 and 156, Ask-interacting protein, and Protein of unknownfunction, as ETIF5, MIR171, MIR156, SKIP, and UNK2 respectively). Reference gene expression stability was examined by qPCRacross 20 biological samples, representing different tissues at various developmental stages. Expression of all 10 genes was variableto some extent, but that of ACT, UNK2, and EF1 was overall the most stable. A combination of ETIF5/UNK2/EF1 would beappropriate to use as a reference panel for normalizing gene expression data among vegetative tissues, whereas the combination ofACT/MIR156/UNK2 is most suitable for reproductive tissues. Reference genes selected in this study were further validated byexamining relative expression of ahas1, one of three acetohydroxyacid synthase genes of sunflower. Our identification and validationof suitable normalizer genes will be of use to ensure accurate results in future transcriptomics studies in this crop.