Unknown,Transcriptomics,Genomics,Proteomics

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

ABSTRACT: Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Most of the existing varieties of olive are traditional and their architecture is poorly suited for modern growing and harvesting systems. This study focuses on the identification of candidate genes involved in determining plant architecture in olive that could help in selecting phenotypes adapted to modern cultivation practices. We previously developed the first microarray for olive, as a means to discover candidate genes involved in relevant agronomical traits. The microarray has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. In the present study, made in the framework of an olive breeding program, varieties displaying differences in architecture and pooled seedlings grouped by their architecture-related phenotypes, were analysed using microarray analysis of meristematic tissue. We identify 2,258 differentially expressed genes potentially involved in determining plant architecture. Varieties with opposite architecture phenotypes and individuals from segregating progenies displaying extreme architecture features, constitute our key to linking phenotype to expression. We analyze some of the genes with potentially interesting functional annotation using quantitative RT-PCR assays, in the reference varieties and individual seedlings. Arabidopsis mutants in putative orthologs of some of the candidate genes show altered architecture, indicating functional conservation between the two species and supporting both, the biological relevance of the results, and the potential of the identified genes as markers for assisted breeding for olive varieties suited for high density orchards. Active or dormant meristems to be used for expression analysis were collected from individual olive trees from four varieties Picual, Arbequina, Arbosana and Chiquitita and from seedlings of a Picual x Arbequina progeny, all of the showing variability for growth habit. Plant material was provided by the olive breeding program of Cordoba. Harvesting was carried out between 8:00 to 11:00 a.m., at the end of Spring. Samples were immediately frozen in liquid nitrogen, and maintained afterwards at -80 ÂºC. Samples of the Picual x Arbequina seedlings used to generate pools were harvested individually and 0.2 g of tissue per individual mixed and processed together to obtain RNA to be used for microarray analysis.

ORGANISM(S): Olea europaea

SUBMITTER: Juan Jose Gonzalez Plaza

PROVIDER: E-GEOD-60284 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Analysis of gene-expression profiles by microarrays can be very useful to characterize new potential candidate genes, key regulatory networks, and to define phenotypes or molecular signatures to improve the diagnosis or classification of the disease. We have used this approach in the study of one of the major causes of allergic diseases in Mediterranean countries, the olive pollen response, in order to find differential molecular markers among five clinical groups, Non-allergic, Asymptomatic, Allergic but not to olive pollen, Non-treated, olive pollen allergic patients and Olive pollen allergic patients (under specific-immunotherapy). The results of gene-expression by principal components analysis (PCA) clearly showed five clusters of samples that correlated with the five clinical groups. Analysis of differential gene-expression by multiple testing, and functional analysis by KEGG and Gene-Ontology revealed differential genes and pathways among the 5 clinical groups. The study population comprised 28 subjects, selected from a previous immunological study (Aguerri et al. Eur. J. Inflammation 2012, in press), from Andalusia, who were recruited in 2 olive pollen exposure situations: during (April-June) and outside the pollen season (October-December). We established 5 groups, and 6 subjects from each group were selected for gene-expression analysis: Group 1, non-allergic subjects; Group 2, asymptomatic subjects (diagnosed with olive pollen allergy by skin testing, with no seasonal respiratory symptoms [rhinitis and/or asthma], and who consulted for adverse reaction to drugs); Group 3, patients who were allergic, but not to olive pollen; Group 4, non-treated olive pollenM-bM-^@M-^Sallergic; and Group 5, olive pollenM-bM-^@M-^Sallergic patients (receiving olive pollenM-bM-^@M-^Sspecific immunotherapy).The subjects were unrelated and recruited at the Allergy Service of 4 hospitals in Andalusia (Granada, JaM-CM-)n, Sevilla, and MM-CM-!laga). Olive pollenM-bM-^@M-^Sallergic patients fulfilled the following criteria: seasonal rhinitis and/or asthma from April to June, a positive skin prick test result for O. europaea pollen extract (ALK AbellM-CM-3, Madrid, Spain), and no previous immunotherapy. Informed consent was obtained from each subject. Ethical approval for the study was obtained from the Ethical and Research Committee of the participating hospitals. PBMCs were isolated from heparin-containing peripheral blood samples taken during and outside pollen season, by gradient centrifugation on Lymphoprep (Comercial Rafer, Zaragoza, Spain) following the manufacturerM-bM-^@M-^Ys instructions.

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

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