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

ABSTRACT: 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 bet

SUBMITTER: Guerrero-Sanchez VM 

PROVIDER: S-EPMC9696786 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature