Michail Michailidis
@agro.auth.gr
Scopus Publications
Scopus Publications
Georgios Lagiotis, Ioanna Karamichali, Maria Astrinaki, Androniki C. Bibi, Despoina Vassou, Georgia‐Maria Nteve, Anastasios Kollias, Ioanna Manolikaki, Christina Skodra, Michail Michailidis,et al.
Wiley
AbstractDescription of aims and systems usedOlive (Olea europea L.) is one of the most economically important tree crops worldwide, especially for the countries in the Mediterranean basin. Given the economic and nutritional importance of the crop for olive oil and drupe production, we generated transcriptional atlases for the Greek olive cultivars “Chondrolia Chalkidikis” and “Koroneiki” which have contrasting characteristics in terms of fruit development, oil production properties, and use. Our analysis involved 14 different organs, tissue types, and developmental stages, including young and mature leaves, young and mature shoots, open and closed flowers, young and mature fruits (epicarp plus mesocarp), young and mature endocarps, stalks, as well as roots. The developed gene expression atlases and the associated resources offer a comprehensive insight into comparative gene expression patterns across several organs and tissue types between significant olive tree cultivars. The comparative analyses presented in this work between the “Koroneiki” cultivar, which performs better in olive oil production, and the “Chondrolia Chalkidikis,” which grows larger fruits, will be essential for understanding the molecular mechanisms underlying olive oil production and fruit shape and size development. The developed resource is also expected to support functional genomics and molecular breeding efforts to enhance crop quality and productivity in olive trees.Outline of data resources generatedThe transcriptome data were generated using paired‐end Illumina Next‐Generation Sequencing technologies. The sequencing yielded approximately 13 million reads per sample for “Chondrolia Chalkidikis” and around 24 million reads per sample for “Koroneiki.” The transcriptomes were comparatively analyzed to reveal tissue‐specific and differentially expressed genes and co‐expression gene modules within and between cultivars.Summary of key resultsThe comparative analysis unveiled tissue‐specific and differentially expressed genes within and between cultivars. Hierarchical gene clustering revealed intra‐ and inter‐cultivar expression patterns, particularly for the endocarp and fruit tissues relevant to olive oil production and fruit development. Additionally, genes associated with oil production and fruit size/shape development, including those in fatty acid metabolism and developmental regulation, were identified.Broader utility of the resourceTo facilitate accessibility, the GrOlivedb (www.GrOlivedb.com) database was developed, housing the comprehensive transcriptomic data for all of the analyzed organs and tissue types per cultivar. This resource will be a useful molecular tool for future breeding studies in olive oil production and fruit development and a valuable resource for crop improvement.
Christos Bazakos, Michail Michailidis, Nikolaos Tourvas, Konstantinos G. Alexiou, Ifigeneia Mellidou, Chrysanthi Polychroniadou, Anastasia Boutsika, Aliki Xanthopoulou, Theodoros Moysiadis, Christina Skodra,et al.
Wiley
AbstractHigh‐depth whole‐genome resequencing of 53 diverse fig tree genotypes yielded a rich dataset of genetic variants. We successfully identified 5,501,460 single‐nucleotide polymorphisms (SNPs) and 1,228,537 insertions and deletions (InDels), providing a high‐density and excellent‐quality genetic map of the fig tree. We also performed a detailed population structure analysis, dividing the 53 genotypes into three geographical groups and assessing their genetic diversity and divergence. Analysis of structural variants (SVs) and copy number variations (CNVs) revealed their potential functional impact, particularly in plant‐pathogen interaction and secondary metabolism. Metabolomic fingerprinting of fig genotypes uncovered extensive variation in primary metabolites and polyphenolic compounds, highlighting the influence of genotype on fruit quality traits such as nutritional content and bioactive compound composition. The genome‐wide association study (GWAS) identified critical SNPs associated with fruit quality and morphological features. The discovery of significant candidate genes, such as AGL62, GDSL, and COBRA‐like protein 4 genes, offers promising targets for marker‐assisted selection and genome editing approaches to improve fig fruit morphological and quality traits. This extensive genomic analysis of fig trees enhances our understanding of the genetic basis of important agronomic traits and provides a rich resource for future research in this economically and nutritionally significant fruit.
Maria Karageorgiadou, Maria Rodovitou, Elpida Nasiopoulou, Vaia Styliani Titeli and M. Michailidis
Flesh firmness in sweet cherries is determined using the measurement of normalized deformation force, i.e., determining the required force for a distance equal to 5 or 10% of the diameter of the cherries per millimeter. However, a firmness method involving a defined distance is quite simple and suitable for easy applications. Hence, our study focuses on the impact of fruit physiology under various and fixed distances. To assess the firmness evaluation, two sweet cherry cultivars (Canada Giant and Regina) were selected and subjected to three different levels of compression distance equal to 1%, 5%, 10% of the fruit’s small thickness dimension along with a consistent compression distance of 0.16 mm. There was a strong correlation between panelists’ preferences and the fruit that had been subjected to both a 1% deformation force and a fixed distance of 0.16 mm within each cultivar. Physiological traits, membrane integrity, and the metabolome of the fruit in these categories were mostly unaffected by the control (0%), or 1%, deformation force, as shown by clustering and PCA analysis. The control and 1% deformation force groups showed similar patterns, contrary to those of the 5% and 10% deformation force groups. Given these considerations, a fixed distance of 0.16 mm and a minimal 1% deformation force possess the potential to be employed and implemented for monitoring the firmness of sweet cherries during postharvest preservation.
Chrysanthi Polychroniadou, Michail Michailidis, Martina Samiotaki, Ioannis-Dimosthenis S. Adamakis, Eleni Giannoutsou, Christina Skodra, Evangelos Karagiannis, Christos Bazakos, Athanassios Molassiotis, and Georgia Tanou
Elsevier BV
Eftychia Martinidou, Michail Michailidis, Vasileios Ziogas, Domenico Masuero, Andrea Angeli, Theodoros Moysiadis, Stefan Martens, Ioannis Ganopoulos, Athanassios Molassiotis, and Eirini Sarrou
American Chemical Society (ACS)
Citrus fruits are among the most economically important crops in the world. In the global market, the Citrus peel is often considered a byproduct but substitutes an important phenotypic characteristic of the fruit and a valuable source of essential oils, flavonoids, carotenoids, and phenolic acids with variable concentrations. The Mediterranean basin is a particularly dense area of autochthonous genotypes of Citrus that are known for being a source of healthy foods, which can be repertoires of valuable genes for molecular breeding with the focus on plant resistance and quality improvement. The scope of this study was to characterize and compare the main phenotypic parameters (i.e., peel thickness, fruit volume, and area) and levels of bioactive compounds in the peel of fruits from the local germplasm of Citrus in Greece, to assess their chemodiversity regarding their polyphenolic, volatile, and carotenoid profiles. A targeted liquid chromatographic approach revealed hesperidin, tangeretin, narirutin, eriocitrin, and quercetin glycosides as the major polyphenolic compounds identified in orange, lemon, and mandarin peels. The content of tangeretin and narirutin followed the tendency mandarin > orange > lemon. Eriocitrin was a predominant metabolite of lemon peel, following its identification in lower amounts in mandarin and at least in the orange peel. For these citrus-specific metabolites, high intra- but also interspecies chemodiversity was monitored. Significant diversity was found in the essential oil content, which varied between 1.2 and 3% in orange, 0.2 and 1.4% in mandarin, and 0.9 and 1.9% in lemon peel. Limonene was the predominant compound in all Citrus species peel essential oils, ranging between 88 and 93% among the orange, 64 and 93% in mandarin, and 55 and 63% in lemon cultivars. Carotenoid analysis revealed different compositions among the Citrus species and accessions studied, with β-cryptoxanthin being the most predominant metabolite. This large-scale metabolic investigation will enhance the knowledge of Citrus peel secondary metabolite chemodiversity supported by the ample availability of Citrus genetic resources to further expand their exploitation in future breeding programs and potential applications in the global functional food and pharmaceutical industries.
Georgios Tziotzios, Xanthoula Eirini Pantazi, Charalambos Paraskevas, Christos Tsitsopoulos, Dimitrios Valasiadis, Elpida Nasiopoulou, Michail Michailidis, and Athanassios Molassiotis
MDPI AG
The current study investigates the use of a non-destructive hyperspectral imaging approach for the evaluation of kiwifruit cv. “Hayward” internal quality, focusing on physiological traits such as soluble solid concentration (SSC), dry matter (DM), firmness, and tannins, widely used as quality attributes. Regression models, including partial least squares regression (PLSR), bagged trees (BTs), and three-layered neural network (TLNN), were employed for the estimation of the above-mentioned quality attributes. Experimental procedures involving the Specim IQ hyperspectral camera utilization and software were followed for data acquisition and analysis. The effectiveness of PLSR, bagged trees, and TLNN in predicting the firmness, SSC, DM, and tannins of kiwifruit was assessed via statistical metrics, including R squared (R²) values and the root mean square error (RMSE). The obtained results indicate varying degrees of efficiency for each model in predicting kiwifruit quality parameters. The study concludes that machine learning algorithms, especially neural networks, offer substantial accuracy, surpassing traditional methods for evaluating kiwifruit quality traits. Overall, the current study highlights the potential of such non-destructive techniques in revolutionizing quality assessment during postharvest by yielding rapid and reliable predictions regarding the critical quality attributes of fruits.
Dimitrios Valasiadis, Marios Georgios Kollaros, Michail Michailidis, Chrysanthi Polychroniadou, Georgia Tanou, Christos Bazakos, and Athanassios Molassiotis
Elsevier BV
Michail Michailidis, Vasileios Ziogas, Eirini Sarrou, Elpida Nasiopoulou, Vaia Styliani Titeli, Christina Skodra, Georgia Tanou, Ioannis Ganopoulos, Stefan Martens, and Athanassios Molassiotis
Elsevier BV
Nikolaos Tourvas, Anastasia Boutsika, Michail Michailidis, Christos Bazakos, Ifigeneia Mellidou, Eirini Sarrou, Chrysanthi Polychroniadou, Fani Lyrou, Vasiliki-Maria Kotina, Aliki Xanthopoulou,et al.
Springer Science and Business Media LLC
Maria Ganopoulou, Aliki Xanthopoulou, Michail Michailidis, Lefteris Angelis, Ioannis Ganopoulos, and Theodoros Moysiadis
MDPI AG
Causal discovery is a highly promising tool with a broad perspective in the field of biology. In this study, a causal structure robustness assessment algorithm is proposed and employed on the causal structures obtained, based on transcriptomic, proteomic, and the combined datasets, emerging from a quantitative proteogenomic atlas of 15 sweet cherry (Prunus avium L.) cv. ‘Tragana Edessis’ tissues. The algorithm assesses the impact of intervening in the datasets of the causal structures, using various criteria. The results showed that specific tissues exhibited an intense impact on the causal structures that were considered. In addition, the proteogenomic case demonstrated that biologically related tissues that referred to the same organ induced a similar impact on the causal structures considered, as was biologically expected. However, this result was subtler in both the transcriptomic and the proteomic cases. Furthermore, the causal structures based on a single omic analysis were found to be impacted to a larger extent, compared to the proteogenomic case, probably due to the distinctive biological features related to the proteome or the transcriptome. This study showcases the significance and perspective of assessing the causal structure robustness based on omic databases, in conjunction with causal discovery, and reveals advantages when employing a multiomics (proteogenomic) analysis compared to a single-omic (transcriptomic, proteomic) analysis.
Christos Bazakos, Konstantinos G. Alexiou, Sebastián Ramos‐Onsins, Georgios Koubouris, Nikolaos Tourvas, Aliki Xanthopoulou, Ifigeneia Mellidou, Theodoros Moysiadis, Ioanna‐Theoni Vourlaki, Ioannis Metzidakis,et al.
Wiley
Olive tree (Olea europaea L. subsp. europaea var. europaea) is one of the most important species of the Mediterranean region and one of the most ancient species domesticated. Τhe availability of whole genome assemblies and annotations of olive tree cultivars and oleasters have contributed to a better understanding of genetic and genomic differences between olive tree cultivars. However, compared to other plant species there is still a lack of genomic resources with olive tree populations that span across the entire Mediterranean region. This study has developed the most complete genomic variation map and comprehensive catalogue/resource of molecular variation to date for 89 olive tree genotypes originating from the entire Mediterranean basin, revealing the genetic diversity of this commercially significant crop tree and explaining the divergence/similarity among different variants. Additionally, the monumental ancient tree "Throuba Naxos" was studied to characterize the potential origin or routes of olive tree domestication. Several candidate genes, known to be associated with key agronomic traits, including olive oil quality and fruit yield, were uncovered by selective sweep scan to be under selection pressure on all olive tree chromosomes. To exploit further the genomic and phenotypic resources obtained from the current work, Genome Wide Association Analyses were performed for twenty-three morphological and two agronomic traits. Significant associations were detected for eight traits that provide valuable candidates for fruit tree breeding and for deeper understanding of the olive tree biology.
Vaia Styliani Titeli, Michail Michailidis, Georgia Tanou, and Athanassios Molassiotis
MDPI AG
The assessment of fruit quality traits is a key factor in increasing consumer acceptance of kiwifruit. Here, an experiment was performed to evaluate the relationship between dry matter (DM) and soluble solids concentration (SSC), evaluated by both destructive (D) and non-destructive (ND) approaches, with acidity content and sensory evaluation, particularly taste, in fully ripened ‘Hayward’ kiwifruits from 20 orchards. Nutrient content and metabolomic analysis were also performed in ripened kiwifruit tissues (pericarp, placenta, and seeds) from four selected orchards of kiwifruits of high taste scores (HTS) and four orchards of low taste scores (LTS). The results suggest that ND-DM measurement positively correlated with D-DM and may serve as an indicator of kiwifruit taste. Moreover, the taste of kiwifruit was affected by both SSC and acidity. Based on the nutrient content of the pericarp and the primary metabolites of the pericarp and placenta, a clear separation was observed between kiwifruits with HTS and those with LTS, while no differences were found in seed samples. Metabolites such as fructose, maltose, mannobiose, tagatose, and citrate were accumulated in kiwifruits with a strong taste in the pericarp, whereas others, such as serine in the pericarp and placenta, have a negative impact on taste. The current study contributes to a greater understanding of the influence of dry matter, ripening characteristics, primary metabolites, and nutrient content on the taste of kiwifruits.
Michail Michailidis, Christos Bazakos, Marios Kollaros, Ioannis‐Dimosthenis S. Adamakis, Ioannis Ganopoulos, Athanassios Molassiotis, and Georgia Tanou
Wiley
Boron modulates a wide range of plant developmental processes; however, the regulation of early fruit development by boron remains poorly defined. We report here the physiological, anatomical, metabolic, and transcriptomic impact of pre-flowering boron supply on the sweet cherry fruit set and development (S1-S5 stages). Our findings revealed that endogenous boron content increased in early growth stages (S1 and S2 stages) following pre-flowering boron exogenous application. Boron treatment resulted in increased fruit set (S1 and S2 stages) and mesocarp cell enlargement (S2 stage). Various sugars (e.g., fructose, glucose), alcohols (e.g., myo-inositol, maltitol), organic acids (e.g., malic acid, citric acid), amino acids (e.g., valine, serine) accumulated in response to boron application during the various developmental stages (S1-S5 stages). Transcriptomic analysis at early growth (S1 and S2 stages) identified boron-responsive genes that are mainly related to secondary metabolism, amino acid metabolism, calcium-binding, ribosome biogenesis, sugar homeostasis and especially to photosynthesis. We found various boron-induced/repressed genes, including those specifically involved in growth. Several heat shock proteins displayed distinct patterns during the initial growth in boron-exposed fruit. Gene analysis also discovered several putative candidate genes like PavPIP5K9, PavWAT1, PavMIOX, PavCAD1, PavPAL1 and PavSNRK2.7, which could facilitate the investigation of the molecular rationale underlying boron function in early fruit growth. Substantial changes in the expression of numerous transcription factors, including PavbHLH25, PavATHB.12L and PavZAT10.1,.2 were noticed in fruits exposed to boron. The current study provides a baseline of information for understanding the metabolic processes regulated by boron during sweet cherry fruit early growth and fruit development in general.
Kalliopi Kadoglidou, Catherine Cook, Anastasia Boutsika, Eirini Sarrou, Ifigeneia Mellidou, Christina Aidonidou, Ioannis Grigoriadis, Andrea Angeli, Stefan Martens, Vasiliki Georgiadou,et al.
PeerJ
Dill (Anethum graveolens L.) is an aromatic herb widely used in the food industry, with several commercial cultivars available with different qualitative characteristics. Commercial cultivars are usually preferred over landraces due to their higher yield and also the lack of improved landraces than can be commercialized. In Greece, however, traditional dill landraces are cultivated by local communities. Many are conserved in the Greek Gene Bank and the aim here was to investigate and compare the morphological, genetic, and chemical biodiversity of twenty-two Greek landraces and nine modern/commercial cultivars. Multivariate analysis of the morphological descriptors, molecular markers, and essential oil and polyphenol composition revealed that the Greek landraces were clearly distinguished compared with modern cultivars at the level of phenological, molecular and chemical traits. Landraces were typically taller, with larger umbels, denser foliage, and larger leaves. Plant height, density of foliage, density of feathering as well as aroma characteristics were desirable traits observed for some landraces, such as T538/06 and GRC-1348/04, which were similar or superior to those of some commercial cultivars. Polymorphic loci for inter-simple sequence repeat (ISSR) and start codon targeted (SCoT) molecular markers were 76.47% and 72.41% for landraces, and 68.24% and 43.10% for the modern cultivars, respectively. Genetic divergence was shown, but not complete isolation, indicating that some gene flow may have occurred between landraces and cultivars. The major constituent in all dill leaf essential oils was α-phellandrene (54.42–70.25%). Landraces had a higher α-phellandrene and dill ether content than cultivars. Two dill landraces were rich in chlorogenic acid, the main polyphenolic compound determined. The study highlighted for the first-time Greek landraces with desirable characteristics regarding quality, yield, and harvest time suitable for breeding programs to develop new dill cultivars with superior features.
Christina Skodra, Michail Michailidis, Theodoros Moysiadis, George Stamatakis, Maria Ganopoulou, Ioannis-Dimosthenis S Adamakis, Lefteris Angelis, Ioannis Ganopoulos, Georgia Tanou, Martina Samiotaki,et al.
Oxford University Press (OUP)
Abstract Plant responses to salinity are becoming increasingly understood, however, salt priming mechanisms remain unclear, especially in perennial fruit trees. Herein, we showed that low-salt pre-exposure primes olive (Olea europaea) plants against high salinity stress. We then performed a proteogenomic study to characterize priming responses in olive roots and leaves. Integration of transcriptomic and proteomic data along with metabolic data revealed robust salinity changes that exhibit distinct or overlapping patterns in olive tissues, among which we focused on sugar regulation. Using the multi-crossed -omics data set, we showed that major differences between primed and nonprimed tissues are mainly associated with hormone signaling and defense-related interactions. We identified multiple genes and proteins, including known and putative regulators, that reported significant proteomic and transcriptomic changes between primed and nonprimed plants. Evidence also supported the notion that protein post-translational modifications, notably phosphorylations, carbonylations and S-nitrosylations, promote salt priming. The proteome and transcriptome abundance atlas uncovered alterations between mRNA and protein quantities within tissues and salinity conditions. Proteogenomic-driven causal model discovery also unveiled key interaction networks involved in salt priming. Data generated in this study are important resources for understanding salt priming in olive tree and facilitating proteogenomic research in plant physiology.
Anastasia Boutsika, Michail Michailidis, Maria Ganopoulou, Athanasios Dalakouras, Christina Skodra, Aliki Xanthopoulou, George Stamatakis, Martina Samiotaki, Georgia Tanou, Theodoros Moysiadis,et al.
Elsevier BV
Michail Michailidis and Georgia Tanou
MDPI AG
Fruits are necessary for a balanced diet, and they are consumed for their vitamins, fiber, and other beneficial compounds [...]
Chrysanthi Polychroniadou, Michail Michailidis, Ioannis-Dimosthenis S. Adamakis, Evangelos Karagiannis, Ioannis Ganopoulos, Georgia Tanou, Christos Bazakos, and Athanassios Molassiotis
Elsevier BV
Michail Michailidis, Vaia Styliani Titeli, Evangelos Karagiannis, Kyriaki Feidaki, Ioannis Ganopoulos, Georgia Tanou, Anagnostis Argiriou, and Athanassios Molassiotis
Elsevier BV
Chrysanthi Polychroniadou, Evangelos Karagiannis, Michail Michailidis, Ioannis-Dimosthenis S. Adamakis, Ioannis Ganopoulos, Georgia Tanou, Christos Bazakos, and Athanassios Molassiotis
Elsevier BV
Aliki Xanthopoulou, Theodoros Moysiadis, Christos Bazakos, Evangelos Karagiannis, Ioanna Karamichali, George Stamatakis, Martina Samiotaki, Maria Manioudaki, Michail Michailidis, Panagiotis Madesis,et al.
Wiley
Genome-wide transcriptome analysis provides systems-level insights into plant biology. Due to the limited depth of quantitative proteomics our understanding of gene-protein-complex stoichiometry is largely unknown in plants. Recently, the complexity of the proteome and its cell/tissue specific distribution boost the research community to the integration of transcriptomics and proteomics landscapes in a proteogenomic approach. Herein, we generated a quantitative proteome and transcriptome abundance atlas of 15 major sweet cherry tissues represented by 29,247 genes and 7,584 proteins. Additionally, 199,984 alternative splicing events, particularly exon skipping and alternative 3' splice site, were identified in 23,383 transcribed regions of the analyzed tissues. Common signatures as well as differences between mRNA and protein quantities, including genes encoding transcription factors and allergens, within and across the different tissues are reported. Using our integrated data set, we identified key putative regulators of fruit development, notably genes involved in the biosynthesis of the anthocyanins and flavonoids. We also provide proteogenomic-based evidence for the involvement of ethylene signaling and pectin degradation in cherry fruit ripening. Moreover, clusters of genes and proteins with similar and different expression and suppression trends across diverse tissues and developmental stages revealed a relatively low RNA abundance-to-protein correlation. The present proteogenomic analysis allows us to identify 17 novel sweet cherry proteins without prior protein-level annotation evidenced in the currently available databases. To facilitate use by the community, we also developed the Sweet Cherry Atlas Database (https://grcherrydb.com/) for viewing and data-mining these resources. This work provides new insights into the proteogenomics workflow in plants and a rich knowledge resource for future investigation of gene and protein functions in Prunus species.
Maria Ganopoulou, Michail Michailidis, Lefteris Angelis, Ioannis Ganopoulos, Athanassios Molassiotis, Aliki Xanthopoulou, and Theodoros Moysiadis
MDPI AG
Genome-wide transcriptome analysis is a method that produces important data on plant biology at a systemic level. The lack of understanding of the relationships between proteins and genes in plants necessitates a further thorough analysis at the proteogenomic level. Recently, our group generated a quantitative proteogenomic atlas of 15 sweet cherry (Prunus avium L.) cv. ‘Tragana Edessis’ tissues represented by 29,247 genes and 7584 proteins. The aim of the current study was to perform a targeted analysis at the gene/protein level to assess the structure of their relation, and the biological implications. Weighted correlation network analysis and causal modeling were employed to, respectively, cluster the gene/protein pairs, and reveal their cause–effect relations, aiming to assess the associated biological functions. To the best of our knowledge, this is the first time that causal modeling has been employed within the proteogenomics concept in plants. The analysis revealed the complex nature of causal relations among genes/proteins that are important for traits of interest in perennial fruit trees, particularly regarding the fruit softening and ripening process in sweet cherry. Causal discovery could be used to highlight persistent relations at the gene/protein level, stimulating biological interpretation and facilitating further study of the proteogenomic atlas in plants.
Christina Skodra, Michail Michailidis, Marilena Dasenaki, Ioannis Ganopoulos, Nikolaos S. Thomaidis, Georgia Tanou, and Athanassios Molassiotis
Wiley
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. This article is protected by copyright. All rights reserved.
Evangelos Karagiannis, Michail Michailidis, Christina Skodra, George Stamatakis, Marilena Dasenaki, Ioannis Ganopoulos, Martina Samiotaki, Nikolaos S. Thomaidis, Athanassios Molassiotis, and Georgia Tanou
Elsevier BV
Evangelos Karagiannis, Michail Michailidis, Christina Skodra, Athanassios Molassiotis, and Georgia Tanou
Elsevier BV