The protein-protein interaction landscape of transcription factors during gynoecium development in Arabidopsis.
gynoecium development
interactome
networks
protein–protein interactions
transcription factors
Journal
Molecular plant
ISSN: 1752-9867
Titre abrégé: Mol Plant
Pays: England
ID NLM: 101465514
Informations de publication
Date de publication:
02 01 2023
02 01 2023
Historique:
received:
29
06
2022
revised:
28
08
2022
accepted:
07
09
2022
pubmed:
12
9
2022
medline:
6
1
2023
entrez:
11
9
2022
Statut:
ppublish
Résumé
Flowers are composed of organs whose identity is defined by the combinatorial activity of transcription factors (TFs). The interactions between MADS-box TFs and protein complex formation have been schematized in the floral quartet model of flower development. The gynoecium is the flower's female reproductive part, crucial for fruit and seed production and, hence, for reproductive success. After the establishment of carpel identity, many tissues arise to form a mature gynoecium. TFs have been described as regulators of gynoecium development, and some interactions and complexes have been identified. However, broad knowledge about the interactions among these TFs and their participation during development remains scarce. In this study, we used a systems biology approach to understand the formation of a complex reproductive unit-as the gynoecium-by mapping binary interactions between well-characterized TFs. We analyzed almost 4500 combinations and detected more than 250 protein-protein interactions (PPIs), resulting in a process-specific interaction map. Topological analyses suggest hidden functions and novel roles for many TFs. In addition, we observed a close relationship between TFs involved in auxin and cytokinin-signaling pathways and other TFs. Furthermore, we analyzed the network by combining PPI data, expression, and genetic data, which helped us to dissect it into several dynamic spatio-temporal subnetworks related to gynoecium development processes. Finally, we generated an extended PPI network that predicts new players in gynoecium development. Taken together, all these results serve as a valuable resource for the plant community.
Identifiants
pubmed: 36088536
pii: S1674-2052(22)00298-2
doi: 10.1016/j.molp.2022.09.004
pii:
doi:
Substances chimiques
Transcription Factors
0
Arabidopsis Proteins
0
Indoleacetic Acids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
260-278Informations de copyright
Copyright © 2022 The Author. Published by Elsevier Inc. All rights reserved.