Autor(es): Cunha, Emanuel ; Silva, Miguel ; Chaves, Inês ; Demirci, H. ; Lagoa, Davide Rafael Santos ; Lima, Diogo ; Rocha, Miguel ; Rocha, I. ; Dias, Oscar
Data: 2021
Identificador Persistente: https://hdl.handle.net/1822/77188
Origem: RepositóriUM - Universidade do Minho
In the last decade, genome-scale metabolic models have been increasingly used to study plant metabolic behavior at the tissue and multi-tissue level under different environmental conditions. Quercus suber, also known as the cork oak tree, is one of the most important forest communities of the Mediterranean/Iberian region. In this work, we present the genome-scale metabolic model of the Q. suber (iEC7871), the first of a woody plant. The metabolic model comprises 7871 genes, 6230 reactions, and 6481 metabolites across eight compartments. Transcriptomics data was integrated into the model to obtain tissue-specific models for the leaf, inner bark, and phellogen, with specific biomass compositions. The tissue-specific models were merged into a diel multi-tissue metabolic model to predict interactions among the three tissues at the light and dark phases. The metabolic models were also used to analyze the pathways associated with the synthesis of suberin monomers. Nevertheless, the models developed in this work can provide insights into other aspects of the metabolism of Q. suber, such as its secondary metabolism and cork formation.
The authors would like to acknowledge project 22231/01/SAICT/2016: “Biodata.pt – Infraestrutura Portuguesa de Dados Biológicos”, supported by Lisboa Portugal Regional Operational Programme (Lisboa2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors would also like to acknowledge the Portuguese Foundation for Science and Technology (FCT) for providing a PhD scholarship to E. Cunha (DFA/BD/8076/2020). Oscar Dias acknowledges FCT for the Assistant Research contract obtained under CEEC Individual 2018. Inês Chaves was funded by DL 57/2016/CP1351/CT0003.
info:eu-repo/semantics/publishedVersion
