| Autor: |
Lacerda AL; Embrapa Recursos Genéticos e Biotecnologia, Embrapa, Brasília, DF, Brazil., Fonseca LN; Embrapa Recursos Genéticos e Biotecnologia, Embrapa, Brasília, DF, Brazil., Blawid R; Embrapa Recursos Genéticos e Biotecnologia, Embrapa, Brasília, DF, Brazil., Boiteux LS; Embrapa Hortaliças, Embrapa, Brasília, DF, Brazil., Ribeiro SG; Embrapa Recursos Genéticos e Biotecnologia, Embrapa, Brasília, DF, Brazil., Brasileiro AC; Embrapa Recursos Genéticos e Biotecnologia, Embrapa, Brasília, DF, Brazil. |
| Jazyk: |
angličtina |
| Zdroj: |
PloS one [PLoS One] 2015 Aug 28; Vol. 10 (8), pp. e0136820. Date of Electronic Publication: 2015 Aug 28 (Print Publication: 2015). |
| DOI: |
10.1371/journal.pone.0136820 |
| Abstrakt: |
Quantitative Polymerase Chain Reaction (qPCR) is currently the most sensitive technique used for absolute and relative quantification of a target gene transcript, requiring the use of appropriated reference genes for data normalization. To accurately estimate the relative expression of target tomato (Solanum lycopersicum L.) genes responsive to several virus species in reverse transcription qPCR analysis, the identification of reliable reference genes is mandatory. In the present study, ten reference genes were analyzed across a set of eight samples: two tomato contrasting genotypes ('Santa Clara', susceptible, and its near-isogenic line 'LAM 157', resistant); subjected to two treatments (inoculation with Tomato chlorotic mottle virus (ToCMoV) and its mock-inoculated control) and in two distinct times after inoculation (early and late). Reference genes stability was estimated by three statistical programs (geNorm, NormFinder and BestKeeper). To validate the results over broader experimental conditions, a set of ten samples, corresponding to additional three tomato-virus pathosystems that included tospovirus, crinivirus and tymovirus + tobamovirus, was analyzed together with the tomato-ToCMoV pathosystem dataset, using the same algorithms. Taking into account the combined analyses of the ranking order outputs from the three algorithms, TIP41 and EF1 were identified as the most stable genes for tomato-ToCMoV pathosystem, and TIP41 and EXP for the four pathosystems together, and selected to be used as reference in the forthcoming expression qPCR analysis of target genes in experimental conditions involving the aforementioned tomato-virus pathosystems. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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