Nitrogen sensing and regulatory networks: It’s about time and space
2024
Shanks, Carly, M | Rothkegel, Karin | Brooks, Matthew, D | Cheng, Chia-Yi | Alvarez, José, M | Ruffel, Sandrine | Krouk, Gabriel | Gutiérrez, Rodrigo, A | Coruzzi, Gloria, M | Center for Genomics and Systems Biology | New York University [New York] (NYU) ; NYU System (NYU) | Instituto Milenio de Biología Integrativa = Millennium Institute for Integrative Biology (iBio) | Center for Genome Regulation, Instituto de Ecología y Biodiversidad | Pontificia Universidad Católica de Chile (UC) | USDA‐ARS Global Change and Photosynthesis Research Unit ; USDA-ARS : Agricultural Research Service | National Taiwan University [Taiwan] (NTU) | Centro de Biotecnología Vegetal - CBV (Santiago, Chile) ; Universidad Andrés Bello [Santiago] (UNAB) | Institut des Sciences des Plantes de Montpellier (IPSIM) ; Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro Montpellier ; Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Montpellier (UM) | Center for Genome Regulation [Santiago] (CGR)
International audience
اظهر المزيد [+] اقل [-]إنجليزي. Abstract A plant’s response to external and internal nitrogen signals/status relies on sensing and signaling mechanisms that operate across spatial and temporal dimensions. From a comprehensive systems biology perspective, this involves integrating nitrogen responses in different cell types and over long distances to ensure organ coordination in real time and yield practical applications. In this prospective review, we focus on novel aspects of nitrogen (N) sensing/signaling uncovered using temporal and spatial systems biology approaches, largely in the model Arabidopsis. The temporal aspects span: transcriptional responses to N-dose mediated by Michaelis-Menten kinetics; the role of the master NLP7 transcription factor as a nitrate sensor, its nitrate-dependent TF nuclear retention, its “hit-and-run” mode of target gene regulation and temporal transcriptional cascade identified by “Network Walking”. Spatial aspects of N-sensing/signaling have been uncovered in cell type-specific studies in roots and in root-to-shoot communication. We explore new approaches using single cell sequencing data, trajectory inference and pseudotime analysis as well as machine learning and artificial intelligence approaches. Finally, unveiling the mechanisms underlying the spatial dynamics of nitrogen sensing/signaling networks across species from model-to-crop could pave the way for translational studies to improve nitrogen-use efficiency in crops. Such outcomes could potentially reduce the detrimental effects of excessive fertilizer usage on groundwater pollution and greenhouse gas emissions.
اظهر المزيد [+] اقل [-]المعلومات البيبليوغرافية
تم تزويد هذا السجل من قبل Institut national de la recherche agronomique