RT Conference Proceedings
T1 Multiomic studies to improve fruit quality of berry fruits
A1 Jiménez, Lidia
A1 Pott, Delphine
A1 Duran, Sara
A1 Mott, Daniella
A1 Petit, Aurélie
A1 Celejewska, Karolina
A1 Piecko, Jan
A1 Masny, Agnieszka
A1 Savini, Gianluca
A1 Chartier, Philippe
A1 Krüger, Erika
A1 Sonsteby, Anita
A1 Denoyes, Beatrice
A1 Vallarino Castro, José G.
A1 Osorio-Algar, Sonia
K1 Clima - Cambios - Aspectos ambientales
K1 Bayas
AB 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.
YR 2019
FD 2019-02-21
LK https://hdl.handle.net/10630/17356
UL https://hdl.handle.net/10630/17356
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026