Selection and validation of suitable reference genes for qRT-PCR analysis in pear leaf tissues under distinct training systems.

ABSTRACT: Training systems generally alter tree architecture, which modulates light microclimate within the canopy, for the purpose of improving photosynthetic efficiency and fruit quality. Gene expression quantification is one of the most important methods for exploring the molecular mechanisms underlying the influence of training systems on pear photosynthesis, and suitable reference genes for gene expression normalization are a prerequisite for this method. In this study, the expression stability of nine common and four novel candidate genes were evaluated in 14 different pear leaf samples in two training systems, including those at four developmental stages (training_period) and from different parts of the trees (training_space), using two distinct algorithms, geNorm and NormFinder. Our results

SUBMITTER: Liu Z 

PROVIDER: S-EPMC6107188 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature