The protein-protein interaction landscape of transcription factors during gynoecium development in Arabidopsis.


Journal

Molecular plant
ISSN: 1752-9867
Titre abrégé: Mol Plant
Pays: England
ID NLM: 101465514

Informations de publication

Date de publication:
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

260-278

Informations de copyright

Copyright © 2022 The Author. Published by Elsevier Inc. All rights reserved.

Auteurs

Humberto Herrera-Ubaldo (H)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Sergio E Campos (SE)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Pablo López-Gómez (P)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Valentín Luna-García (V)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Víctor M Zúñiga-Mayo (VM)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Gerardo E Armas-Caballero (GE)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Karla L González-Aguilera (KL)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Alexander DeLuna (A)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México.

Nayelli Marsch-Martínez (N)

Departamento de Biotecnología y Bioquímica, Unidad Irapuato, CINVESTAV-IPN, Irapuato, Guanajuato 36824, México.

Carlos Espinosa-Soto (C)

Instituto de Física, Universidad de San Luis Potosí, San Luis Potosí, SLP 78290, México.

Stefan de Folter (S)

Unidad de Genómica Avanzada (UGA-LANGEBIO), Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (CINVESTAV-IPN), Irapuato, Guanajuato 36824, México. Electronic address: stefan.defolter@cinvestav.mx.

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Classifications MeSH