Assessment of candidate reference genes for expression studies in Vicia faba L. by real-time quantitative PCR

Faba bean (Vicia faba L.) cultivation has declined in recent years due to several factors, including diseases and anti-nutritional compounds in the seeds. The introduction of disease resistance and the elimination of anti-nutritional factors in new varieties are important objectives in any breeding program for the species. Because of the faba bean’s huge genome, it is necessary to rely on synteny with related species in order to identify candidate genes responsible for the character under study. Quantification of expression level of candidate genes could help to validate them. Appropriate normalization is an essential prerequisite for obtaining accurate and reproducible quantification of gene expression level. Real-time quantitative PCR was used for evaluate the expression stability of 11 candidate reference genes. A wide set of samples, including different tissues, genotypes and several inoculations for the most important pathogens were employed. The expression stability of the candidate genes was analyzed using two different algorithms, geNorm and NormFinder, and results obtained from both algorithms were highly correlated for each experimental set. In all cases, either ACT1, CYP2 or ELF1A genes performed as the most stable genes in our experimental sets. They also represent part of the best combination of genes according to the geNorm and NormFinder algorithms. Our data showed the wide expression range of the selected genes, confirming that no single reference gene had a stable expression under these conditions in the faba bean. We recommend the use of ACT1, CYP2 and ELF1A as the most suitable reference genes to normalize gene expression for future studies in V. faba.