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In this study we are going to use different omic-techniques to analyze fruits of three species of berries such as strawberry, raspberry and black currant. Berry fruit are well appreciated for their delicate flavor and nutraceutical properties, with consumer demand increasing over the last years. Furthermore, climate change and market globalization have made necessary to improve the production while maintaining fruit quality traits. Goodberry project is developping analytical platforms, covering from transcriptomic to metabolites and volatile compounds analysis, to find new factors controlling plant adaptation, fruit production and quality. In this study we implement the metabolomic analysis of strawberry, raspberry and black currant fruits from the 2017 harvest, as well as 2018 harvest during this year. To analyze and compare the data we use multiomic tools and bioinformatics to extract properly conclusion The analyses take different berry cultivars, adapted to diverse environments, were grown in 2017 and 2018 in different latitudes (Germany, France, Norway, Italy, Poland and Scotland). The data comes from a combination of gas-chromatography-mass spectrometry (GC-TOF-MS) and headspace solid phase micro extraction (HS-SPME) coupled with GC-MS was used to semi-quantify fruit primary metabolome and volatilome. Around 50 key primary metabolites, including sugars and acids, which are fundamental factors influencing fruit taste and 75 volatiles, responsible of the aroma, were identified across the different genotypes and climates. Multivariate statistical approaches allow us to point out the genetic and environmental factors underlying complex metabolic traits involved in fruit quality. Preliminary analysis showed that both climate and genetic factors influence primary metabolite and volatile content, even if the environment seems to have a stronger impact on the first one. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Club cell secretory protein (CCSP) is an endogenous anti-inflammatory product with a protective role in the respiratory tract. Impaired airway homeostasis in chronic bronchial diseases might be related to CCSP G38A polymorphism but the SNP-transcription relationship is not established. This study was to examine the influence of ccsp G38A polymorphism on CCSP expression and regulation. Vectors constructions (proximal promoter: 229bp; and distal promoter: 926bp) containing -38G wild type or the -38A variant were designed. Human bronchial BEAS-2B cells were transfected with these proximal or distal promoters, in presence/absence of cigarette smoke extract (CSE). Dual luciferase assay system reflected CCSP transcription levels. In parallel, dual transfections with candidate modulating transcription factors identified by in silico analysis using ConSite and TFSEARCH were conducted. No significant changes are induced by the -38G and -38A vectors in transiently transfected BEAS-2B cells. Cotransfection with Nkx2.1 significantly increased CCSP transcription. Interestingly, with proximal promoter only,-38A variant gene response to Nkx2.1 was higher than -38G wild type response. CSE decreased CCSP transcription. In depth-in silico analyzes identified two novel candidate transcription factors that could specifically bind to the G38A locus: Thing1E47 and p53. Our data indicate that two novel transcription factors and CSE could affect CCSP expression. Also, -38A variant CCSP gene modulation induced by Nkx2.1 is significant. Finding transcription factors that could restore normal levels of CCSP expression is of interest.