INVESTIGADORES
PRATTA Guillermo Raul
congresos y reuniones científicas
Título:
Transcriptome and proteome meta-analysis of tomato chaperone network during ripening
Autor/es:
GOYTIA BERTERO, VALENTINA; GUILLERMO R. PRATTA; ARCE, D.P.
Lugar:
Santa Fe - Formato Virtual
Reunión:
Conferencia; RAFV Conference 2021 ? XXXIII Argentinian meeting of Plant Physiology; 2021
Institución organizadora:
Asociación Argentina de Fisiología Vegetal
Resumen:
Heat Shock Proteins (HSPs) are a super family of chaperones that have been characterized in different organisms. In plants, HSPs participate in the refolding of denatured proteins during physiological processes such as developmental changes and abiotic stress response. The aim of this work was to perform an integrative analysis from a bioinformatic and inferential approach based on protein-protein interaction (PPI) network building in S. lycopersicum cv. Micro-tom during fruit ripening. Expression data publicly available from two independent experiments at transcriptome and proteome levels were included. PPI networks were built using Cytoscape and the MCODE algorithm was applied to identify clusters. Each output cluster was further analyzed with the gene enrichment analysis tool, Fisher’s exact test, p ≤ 0,05 and Benjamini-Hochberg method. GO term enrichment analysis was conducted by the PlanRegMap tool. Our interatomic study allowed us to identify specific networks for each maturipening stage atof fruit ripdevelopmeningt, discoeveridencing thattwo clusters during advanced stages were over-represented by HSP families (HSP70 and HSP20),chaperones (Proteasome assembly chaperone) and common protein interactors associated withprotein folding, protein synthesis and degradation, and response to stress (GST, ER auxin bindingprotein, TRP ripening regulated protein). These findings were detected for both levels of analysis:transcriptomic and proteomic, from two independent datasets. Finally, we found that some of theseup-regulated chaperones show the presence of HSE motifs in their 5´UTRs. Our combined andinferential bioinformatics approach allowed us to integrate RNA, protein expression and co-expression levels of chaperones involved in cv. Micro-tom during fruit ripening.