Multiomic Data Integration in the Analysis of Drought-Responsive Mechanisms in Quercus ilex Seedlings

Autor: Jesus V Jorrin Novo, Victor Manuel Guerrero-Sanchez, Maria Angeles Castillejo Sanchez, María-Dolores Rey, Mónica Escandón Martínez, Cristina López-Hidalgo
Přispěvatelé: Ministerio de Economía y Competitividad (España), Regional Government of Andalusia (España), Unión Europea. Fondo Social Europeo (ESF/FSE), Ministerio de Ciencia, Innovación y Universidades (España), Gobierno del Principado de Asturias (España), Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Plants; Volume 11; Issue 22; Pages: 3067
WOS:000887634400001
Popis: The integrated analysis of different omic layers can provide new knowledge not provided by their individual analysis. This approach is also necessary to validate data and reveal post-transcriptional and post-translational mechanisms of gene expression regulation. In this work, we validated the possibility of applying this approach to non-model species such as Quercus ilex. Transcriptomics, proteomics, and metabolomics from Q. ilex seedlings subjected to drought-like conditions under the typical summer conditions in southern Spain were integrated using a non-targeted approach. Two integrative approaches, PCA and DIABLO, were used and compared. Both approaches seek to reduce dimensionality, preserving the maximum information. DIABLO also allows one to infer interconnections between the different omic layers. For easy visualization and analysis, these interconnections were analyzed using functional and statistical networks. We were able to validate results obtained by analyzing the omic layers separately. We identified the importance of protein homeostasis with numerous protease and chaperones in the networks. We also discovered new key processes, such as transcriptional control, and identified the key function of transcription factors, such as DREB2A, WRKY65, and CONSTANS, in the early response to drought. This research was funded by the project ENCINOMICS-2 PID2019-109038RB-I00 of the Spanish Ministry of Economy and Competitiveness. V.M.G.-S. was supported by the Youth Employment Operational Program (EJI-17-AGR-164), co-financed by the Regional Government of Andalusia and the European Social Fund (ESF). M.-D.R., M.Á.C. and M.E. are grateful for being awarded the Juan de la Cierva-Incorporación (IJC2018-035272-I), Ramon y Cajal (RYC-2017-23706), and Juan de la Cierva-Formación (FJCI-2017-31613) contracts, respectively, by the Spanish Ministry of Science, Innovation and Universities. C.L.-H. is grateful to the Regional Government of Asturias, Spain, for being awarded the Severo Ochoa contract BP17-112. Sí
Databáze: OpenAIRE