Transcriptomic analysis using olive varieties and breeding progenies identify candidate genes involved in plant architecture

• Published in: Frontiers in plant science 2016-03, Vol.7
• Main Authors: Juan José eGonzález Plaza, Inmaculada eOrtiz Martín, Antonio eMuñoz Mérida, Carmen eGarcía López, José Federico Sánchez Sevilla, Francisco eLuque, Oswaldo eTrelles, Eduardo Rodriguez Bejarano, Raúl ede la Rosa, Victoriano eValpuesta, Carmen R. Beuzón
• Format: Article
• Language: English
• Subjects: Dwarf phenotype; Microarray; Olea europea; plant architecture; RT-qPCR; Transcriptomics
• ISSN: 1664-462X
• DOI: 10.3389/fpls.2016.00240

Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2,252 differentially expressed genes associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species.