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In silico and in vitro approaches allow the identification of the Prosystemin molecular network

Authors :
Roberto Natale
Mariangela Coppola
Nunzio D'Agostino
Youjun Zhang
Alisdair Robert Fernie
Valeria Castaldi
Rosa Rao
Source :
Computational and Structural Biotechnology Journal, Vol 21, Iss , Pp 212-223 (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Tomato Prosystemin (ProSys), the precursor of Systemin, a small peptidic hormone, is produced at very low concentration in unchallenged plants, while its expression greatly increases in response to several different stressors triggering an array of defence responses. The molecular mechanisms that underpin such a wide array of defence barriers are not fully understood and are likely correlated with the intrinsically disordered (ID) structure of the protein. ID proteins interact with different protein partners forming complexes involved in the modulation of different biological mechanisms. Here we describe the ProSys-protein network that shed light on the molecular mechanisms underpinning ProSys associated defence responses. Three different approaches were used. In silico prediction resulted in 98 direct interactors, most clustering in phytohormone biosynthesis, transcription factors and signal transduction gene classes. The network shows the central role of ProSys during defence responses, that reflects its role as central hub. In vitro ProSys interactors, identified by Affinity Purification-Mass Spectrometry (AP-MS), revealed over three hundred protein partners, while Bimolecular Fluorescent Complementation (BiFC) experiments validated in vivo some interactors predicted in silico and in vitro. Our results demonstrate that ProSys interacts with several proteins and reveal new key molecular events in the ProSys-dependent defence response of tomato plant.

Details

Language :
English
ISSN :
20010370
Volume :
21
Issue :
212-223
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.b2a6a7bf87b442c1877beddb713fd171
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2022.12.006