Please use this identifier to cite or link to this item:
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1076282
Title: | An improved method for RNA extraction from common bean seeds and validation of reference genes for qPCR. |
Authors: | PEREIRA, W. J.![]() ![]() BASSINELLO, P. Z. ![]() ![]() BRONDANI, C. ![]() ![]() VIANELLO, R. P. ![]() ![]() |
Affiliation: | WENDELL JACINTO PEREIRA, UFG; PRISCILA ZACZUK BASSINELLO, CNPAF; CLAUDIO BRONDANI, CNPAF; ROSANA PEREIRA VIANELLO, CNPAF. |
Date Issued: | 2017 |
Citation: | Crop Breeding and Applied Biotechnology, Viçosa, MG, v. 17, n. 2, p. 150-158, abr./jun. 2017. |
Description: | An RNA extraction method with high integrity and purity as well as the selection of adequate reference genes are prerequisites for gene expression analysis. For common bean seeds, there is no well-defined protocol that can be used in a laboratory routine for gene expression analysis. In this study, an extraction protocol for RNA from common bean seeds, which produced material with good integrity for qPCR (RIN ≥ 6.5), was optimized. In addition, 10 reference genes were evaluated under qPCR standard conditions using different tissue samples of common beans. Gene stabilities were analyzed using the delta-CT method, Bestkeeper, NormFinder and geNorm approaches. The genes β-tubulin and T197 were ranked as the most stable among the sample sets evaluated with different tissue samples, while PvAct and Pv18S were the least stable. To our knowledge, this is the first study evaluating RNA isolation methods and reference gene selection for seeds of Phaseolus vulgaris. |
Thesagro: | Feijão Phaseolus vulgaris Melhoramento RNA |
NAL Thesaurus: | Beans Gene expression |
Keywords: | Gene normalization Molecular breeding Grain RNA extraction |
ISSN: | 1518-7853 |
DOI: | 10.1590/1984-70332017v17n2a22 |
Type of Material: | Artigo de periódico |
Access: | openAccess |
Appears in Collections: | Artigo em periódico indexado (CNPAF)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
CNPAF2017cbab.pdf | 450.07 kB | Adobe PDF | ![]() View/Open |