The effects of ripening stage on the antioxidant content in olive pericarps were evaluated in eleven olive genotypes grown in the same bioagronomic conditions in Southern Italy. We examined the transcript levels of geranylgeranyl reductase (CHL P) gene and the content of tocopherols, phenolic compounds and chlorophylls in the pericarps. The examined genotypes showed an increase of CHL P transcripts during pericarps ripening. Significant differences were reported in the antioxidant proportions in the same cultivars at different pericarp ripening stage. We show an inverse correlation between phenols and tocopherols content. In particular, during the ripening phase, tocopherols increased rapidly in olive pericarps while phenolic compounds and chlorophyll levels declined significantly. The significant amounts of these antioxidants confirm the nutritional and medicinal value of olive drupes and its products (table olives and olive oil). We suggest, for the first time, a link between CHL P transcript levels and tocopherols content during the ripening of olive pericarps. Besides, we revealed that this trend of CHL P transcript levels during pericarps ripening is independent from the olive genotypes.
Cultivar characterization for fruit trees certification requires fast, efficient and reliable techniques. Microsatellite markers (SSR) were used in the molecular characterization of 23 genotypes of Olea europaea subsp europaea. The DNA from the olive cultivars was analyzed using nine preselected SSR primers (GAPU59, GAPU71A, GAPU71B, GAPU103A, UDO99-01, UDO99-12, UDO99-28 and UDO99-39) and revealed 29 alleles, which allowed each genotype to be identified. In the dendrogram, the nine primers allowed the 23 olive genotypes to be grouped into subgroups corresponding to the same cultivar denominations. SSR markers proved to be efficient and reliable for the molecular characterization of Italian olive cultivars. Key words: Olea europaea, fingerprinting, genetic identity, molecular markers IDENTICAÇÃO DE GRUPOS DE CULTIVARES ITALIANOS DE OLIVA COM MARCADORES MICROSSATÉLITESRESUMO: A caracterização de cultivares na produção de mudas certificadas exige técnicas rápidas, eficientes e confiáveis. Marcadores microssatélites (SSR) foram utilizados objetivando a caracterização molecular de 23 genótipos de Olea europaea subsp europaea. O DNA das cultivares foi analisado por meio de nove primers SSR pré-selecionados (GAPU59, GAPU71A, GAPU71B, GAPU103A, UDO99-01, UDO99-12, UDO99-28 and UDO99-39) e reveleram um total de 29 alelos que permitiram individualizar cada um dos genótipos. No dendrograma, os nove primers permitiram a separação dos 23 genótipos, em subgrupos. Os SSR foram eficientes e confiaveis para a caracterização molecular de cultivares italianeo de oliva.
Parkinson’s disease (PD) is a complex and heterogeneous disorder involving multiple genetic and environmental influences. Although a wide range of PD risk factors and clinical markers for the symptomatic motor stage of the disease have been identified, there are still no reliable biomarkers available for the early pre-motor phase of PD and for predicting disease progression. High-throughput RNA-based biomarker profiling and modeling may provide a means to exploit the joint information content from a multitude of markers to derive diagnostic and prognostic signatures. In the field of PD biomarker research, currently, no clinically validated RNA-based biomarker models are available, but previous studies reported several significantly disease-associated changes in RNA abundances and activities in multiple human tissues and body fluids. Here, we review the current knowledge of the regulation and function of non-coding RNAs in PD, focusing on microRNAs, long non-coding RNAs, and circular RNAs. Since there is growing evidence for functional interactions between the heart and the brain, we discuss the benefits of studying the role of non-coding RNAs in organ interactions when deciphering the complex regulatory networks involved in PD progression. We finally review important concepts of harmonization and curation of high throughput datasets, and we discuss the potential of systems biomedicine to derive and evaluate RNA biomarker signatures from high-throughput expression data.
Cardiovascular disease (CVD) is the biggest cause of sickness and mortality worldwide in both males and females. Clinical statistics demonstrate clear sex differences in risk, prevalence, mortality rates, and response to treatment for different entities of CVD. The reason for this remains poorly understood. Non-coding RNAs (ncRNAs) are emerging as key mediators and biomarkers of CVD. Similarly, current knowledge on differential regulation, expression, and pathology-associated function of ncRNAs between sexes is minimal. Here, we provide a state-of-the-art overview of what is known on sex differences in ncRNA research in CVD as well as discussing the contributing biological factors to this sex dimorphism including genetic and epigenetic factors and sex hormone regulation of transcription. We then focus on the experimental models of CVD and their use in translational ncRNA research in the cardiovascular field. In particular, we want to highlight the importance of considering sex of the cellular and pre-clinical models in clinical studies in ncRNA research and to carefully consider the appropriate experimental models most applicable to human patient populations. Moreover, we aim to identify sex-specific targets for treatment and diagnosis for the biggest socioeconomic health problem globally.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.