Identification and Functional Annotation of Genes Differentially Expressed in the Reproductive Tissues of the Olive Tree (Olea europaea L.) through the Generation of Subtractive Libraries

Transcriptomic Insight into the Pollen Tube Growth of Olea europaea L. subsp. europaea Reveals Reprogramming and Pollen-Specific Genes Including New Transcription Factors

The pollen tube is a key innovation of land plants that is essential for successful fertilisation. Its development and growth have been profusely studied in model organisms, but in spite of the economic impact of olive trees, little is known regarding the genome-wide events underlying pollen hydration and growth in this species. To fill this gap, triplicate mRNA samples at 0, 1, 3, and 6 h of in vitro germination of olive cultivar Picual pollen were analysed by RNA-seq. A bioinformatics R workflow called RSeqFlow was developed contemplating the best practices described in the literature, covering from expression data filtering to differential expression and clustering, to finally propose hub genes. The resulting olive pollen transcriptome consisted of 22,418 reliable transcripts, where 5364 were differentially expressed, out of which 173 have no orthologue in plants and up to 3 of them might be pollen-specific transcription factors. Functional enrichment revealed a deep transcriptional reprogramming in mature olive pollen that is also dependent on protein stability and turnover to allow pollen tube emergence, with many hub genes related to heat shock proteins and F-box-containing proteins. Reprogramming extends to the first 3 h of growth, including processes consistent with studies performed in other plant species, such as global down-regulation of biosynthetic processes, vesicle/organelle trafficking and cytoskeleton remodelling. In the last stages, growth should be maintained from persistent transcripts. Mature pollen is equipped with transcripts to successfully cope with adverse environments, even though the in vitro growth seems to induce several stress responses. Finally, pollen-specific transcription factors were proposed as probable drivers of pollen germination in olive trees, which also shows an overall increased number of pollen-specific gene isoforms relative to other plants.

Unraveling salt-responsive tissue-specific metabolic pathways in olive tree

Salinity is a serious constraint that reduces olive crop productivity. Here, we defined metabolite and gene expression changes in various tissues of olive trees (cv. "Chondrolia Chalkidikis") exposed to 75 mM NaCl for 45 days. Results showed that salinity induced foliar symptoms and impaired growth and photosynthetic parameters. The content of Na⁺ and Cl^- in roots, xylem, phloem and leaves increased, although the Na⁺ levels in old leaves and Cl^- in young leaves remained unaffected. Mannitol was accumulated in roots and old leaves challenged by salinity. NaCl-treated trees have a decreased TCA-associated metabolites, such as citric and malic acid, as well as changes in phenylpropanoid-associated metabolites (i.e., pinoresinol and vanillic acid) and genes (OePLRTp2 and OeCA4H). Salt treatment resulted in hydroxyl-decarboxylmethyl eleuropein aglycone accumulation and OeGTF up-regulation in new leaves, possibly suggesting that oleuropein metabolism was modified by NaCl. Tyrosine metabolism, particularly verbascoside levels and OePPO and OehisC expressions, was modulated by salinity. Both genes (e.g., OeAtF3H and OeFNSII) and metabolites (e.g., apigenin and luteolin) involved in flavonoid biosynthesis were induced in old leaves exposed to NaCl. Based on these data, we constructed an interaction scheme of changes in metabolites and transcripts across olive tissues upon salinity. Particularly, several metabolites involved in carbohydrate metabolism were reduced in roots, while many sugars, carbohydrates and flavonoids were increased in leaves. This study provided a framework for better understanding the possible mechanisms that govern the tissue-specific response of olive tree to salinity stress, with insights into molecules that can be used for olive crop improvement projects.

How to Choose a Good Marker to Analyze the Olive Germplasm (Olea europaea L.) and Derived Products

The olive tree (Olea europaea L.) is one of the most cultivated crops in the Mediterranean basin. Its economic importance is mainly due to the intense production of table olives and oil. Cultivated varieties are characterized by high morphological and genetic variability and present a large number of synonyms and homonyms. This necessitates the introduction of a rapid and accurate system for varietal identification. In the past, the recognition of olive cultivars was based solely on analysis of the morphological traits, however, these are highly influenced by environmental conditions. Therefore, over the years, several methods based on DNA analysis were developed, allowing a more accurate and reliable varietal identification. This review aims to investigate the evolving history of olive tree characterization approaches, starting from the earlier morphological methods to the latest technologies based on molecular markers, focusing on the main applications of each approach. Furthermore, we discuss the impact of the advent of next generation sequencing and the recent sequencing of the olive genome on the strategies used for the development of new molecular markers.

Genome wide association study of 5 agronomic traits in olive (Olea europaea L.)

Olive (Olea europaea L.) is one of the most economically and historically important fruit crops worldwide. Genetic progress for valuable agronomic traits has been slow in olive despite its importance and benefits. Advances in next generation sequencing technologies provide inexpensive and highly reproducible genotyping approaches such as Genotyping by Sequencing, enabling genome wide association study (GWAS). Here we present the first comprehensive GWAS study on olive using GBS. A total of 183 accessions (FULL panel) were genotyped using GBS, 94 from the Turkish Olive GenBank Resource (TOGR panel) and 89 from the USDA-ARS National Clonal Germplasm Repository (NCGR panel) in the USA. After filtering low quality and redundant markers, GWAS was conducted using 24,977 SNPs in FULL, TOGR and NCGR panels. In total, 52 significant associations were detected for leaf length, fruit weight, stone weight and fruit flesh to pit ratio using the MLM_K. Significant GWAS hits were mapped to their positions and 19 candidate genes were identified within a 10-kb distance of the most significant SNP. Our findings provide a framework for the development of markers and identification of candidate genes that could be used in olive breeding programs.