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Tytuł pozycji:

Assessment of reference gene stability in Rice stripe virus and Rice black streaked dwarf virus infection rice by quantitative Real-time PCR

Tytuł :
Assessment of reference gene stability in Rice stripe virus and Rice black streaked dwarf virus infection rice by quantitative Real-time PCR
Autorzy :
Fang, Peng
Lu, Rongfei
Sun, Feng
Lan, Ying
Shen, Wenbiao
Du, Linlin
Zhou, Yijun
Zhou, Tong
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Temat :
Reference genes
food and beverages
Virology
Infectious Diseases
RSV- and RBSDV-infected rice
Methodology
Gene expression
RT-qPCR
Źródło :
Virology Journal. 12
Wydawca :
Springer Nature, 2015.
Rok publikacji :
2015
Oryginalny identyfikator :
pmc: PMC4619528
pmid: 26497487
Język :
English
ISSN :
1743-422X
DOI :
10.1186/s12985-015-0405-2
Background Stably expressed reference gene(s) normalization is important for the understanding of gene expression patterns by quantitative Real-time PCR (RT-qPCR), particularly for Rice stripe virus (RSV) and Rice black streaked dwarf virus (RBSDV) that caused seriously damage on rice plants in China and Southeast Asia. Methods The expression of fourteen common used reference genes of Oryza sativa L. were evaluated by RT-qPCR in RSV and RBSDV infected rice plants. Suitable normalization reference gene(s) were identified by geNorm and NormFinder algorithms. Results UBQ 10 + GAPDH and UBC + Actin1 were identified as suitable reference genes for RT-qPCR normalization under RSV and RBSDV infection, respectively. When using multiple reference genes, the expression patterns of OsPRIb and OsWRKY, two virus resistance genes, were approximately similar with that reported previously. Comparatively, by using single reference gene (TIP41-Like), a weaker inducible response was observed. Conclusions We proposed that the combination of two reference genes could obtain more accurate and reliable normalization of RT-qPCR results in RSV- and RBSDV-infected plants. This work therefore sheds light on establishing a standardized RT-qPCR procedure in RSV- and RBSDV-infected rice plants, and might serve as an important point for discovering complex regulatory networks and identifying genes relevant to biological processes or implicated in virus. Electronic supplementary material The online version of this article (doi:10.1186/s12985-015-0405-2) contains supplementary material, which is available to authorized users.

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