2026-06-14T05:06:27Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/156802024-05-27T19:32:33Zcom_20.500.12105_19604com_20.500.12105_2051col_20.500.12105_19605
Repisalud
author
Guerrero-Sánchez, Víctor M
author
López-Hidalgo, Cristina
author
Rey, María-Dolores
author
Castillejo, María Ángeles
author
Jorrín-Novo, Jesús V
author
Escandón, Mónica
funder
Ministerio de Economía y Competitividad (España)
funder
Regional Government of Andalusia (España)
funder
Unión Europea. Fondo Social Europeo (ESF/FSE)
funder
Ministerio de Ciencia, Innovación y Universidades (España)
funder
Gobierno del Principado de Asturias (España)
funder
Ministerio de Ciencia e Innovación. Centro de Excelencia Severo Ochoa (España)
2023-03-22T11:00:34Z
2023-03-22T11:00:34Z
2022-11-12
Plants (Basel) . 2022 Nov 12;11(22):3067
10.3390/plants11223067
2223-7747
Plants (Basel, Switzerland)
36432796
http://hdl.handle.net/20.500.12105/15680
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.
eng
Multiomic Data Integration in the Analysis of Drought-Responsive Mechanisms in Quercus ilex Seedlings.
journal article
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URL
https://repisalud.isciii.es/bitstreams/0a7aa4e2-4c28-4127-9d8e-eb1c0a155a68/download
File
MD5
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application/pdf
Multiomic Data Integration in the Analysis Plants 2022.pdf
URL
https://repisalud.isciii.es/bitstreams/19f6e953-5527-4057-9708-c4c7698a1f2d/download
File
MD5
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text/plain
Multiomic Data Integration in the Analysis Plants 2022.pdf.txt