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

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 rep...

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Veröffentlicht in:Molecular plant 2023-01, Vol.16 (1), p.260-278
Hauptverfasser: Herrera-Ubaldo, Humberto, Campos, Sergio E., López-Gómez, Pablo, Luna-García, Valentín, Zúñiga-Mayo, Víctor M., Armas-Caballero, Gerardo E., González-Aguilera, Karla L., DeLuna, Alexander, Marsch-Martínez, Nayelli, Espinosa-Soto, Carlos, de Folter, Stefan
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container_end_page 278
container_issue 1
container_start_page 260
container_title Molecular plant
container_volume 16
creator Herrera-Ubaldo, Humberto
Campos, Sergio E.
López-Gómez, Pablo
Luna-García, Valentín
Zúñiga-Mayo, Víctor M.
Armas-Caballero, Gerardo E.
González-Aguilera, Karla L.
DeLuna, Alexander
Marsch-Martínez, Nayelli
Espinosa-Soto, Carlos
de Folter, Stefan
description 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. Protein–protein interactions (PPIs) guide gynoecium development. This study identifies 263 unique PPIs among transcription factors, resulting in a process-specific interaction map. Several dynamic spatio-temporal subnetworks related to gynoecium development processes are also reported.
doi_str_mv 10.1016/j.molp.2022.09.004
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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. Protein–protein interactions (PPIs) guide gynoecium development. This study identifies 263 unique PPIs among transcription factors, resulting in a process-specific interaction map. 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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. Protein–protein interactions (PPIs) guide gynoecium development. This study identifies 263 unique PPIs among transcription factors, resulting in a process-specific interaction map. 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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. Protein–protein interactions (PPIs) guide gynoecium development. This study identifies 263 unique PPIs among transcription factors, resulting in a process-specific interaction map. 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subjects Arabidopsis
Arabidopsis - metabolism
Arabidopsis Proteins - genetics
Arabidopsis Proteins - metabolism
auxins
Cell Communication
females
flowering
flowers
Flowers - metabolism
fruits
Gene Expression Regulation, Plant
gynoecium
gynoecium development
Indoleacetic Acids - metabolism
interactome
networks
plant communities
protein-protein interactions
reproductive success
topology
transcription factors
Transcription Factors - genetics
Transcription Factors - metabolism
title The protein–protein interaction landscape of transcription factors during gynoecium development in Arabidopsis
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