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Enregistrement W4400001524 · doi:10.1093/plcell/koae182

Focus on proteolysis

2024· editorial· en· W4400001524 sur OpenAlexaff
Nancy A. Eckardt, Pascal Genschik, Liwen Jiang, Xin Li, Marisa S. Otegui, Ari Sadanandom, Steven H. Spoel, Klaas J. van Wijk, Dolf Weijers

Notice bibliographique

RevueThe Plant Cell · 2024
Typeeditorial
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueUbiquitin and proteasome pathways
Établissements canadiensCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
Organismes subventionnairesBiotechnology and Biological Sciences Research Council
Mots-clésBiologyProteolysisCell biologyBiogenesisAutophagyProteomicsProtein degradationBiotic stressBiochemistryAbiotic stressEnzyme

Résumé

récupéré en direct d'OpenAlex

Proteolysis is an essential cellular function mediating the processing and turnover of proteins to remove damaged or inactive proteins, alter protein function (binding or enzymatic activities), and ensure appropriate protein stoichiometries in the cell. The post-translational control of protein stability is also a central feature of cellular signaling in eukaryotes, i.e. regulating the turnover of important regulatory proteins, and is crucial for almost all aspects of plant biology, including vegetative growth, development, reproduction, and stress responses. Proteolysis plays a central role in hormone signaling pathways, plant defense against pests and pathogens, abiotic stress responses, and basic cell functions like the cell cycle, metabolism, organellar biogenesis and maintenance, and senescence. Compared with animals, plant genomes encode a highly expanded number of components related to proteolytic pathways including the ubiquitin-proteasome system, autophagy, programmed cell death, endosomal trafficking, and organelle-associated protein degradation. Recent advances in molecular genetics and cell biology, microscopy and high-resolution imaging, in vivo labeling, proteomics, mass spectrometry, and structural biology have led to new insights and understanding in many areas of plant proteolysis, including autophagy of chloroplasts and other organelles, degradation of membrane proteins, the discovery of plant N-degron pathways, and proteolytic processing involved in plant development and environmental responses (immunity and abiotic stress). Knowledge of plant proteolytic systems is also important for agriculture and plant breeding, given the impact on plant growth and development related to yield, as well as plant resistance to pests and diseases. This focus issue on plant proteolysis includes 2 letters to the editor, 1 commentary, 9 review articles, and 8 original research articles. The 2 letters address the question of whether the polyubiquitin pathway operates inside intact chloroplasts. The question is posed by van Wijk and Adam (2024), with a Reply from Jarvis et al. (2024). Researchers on both sides of the debate make valid points to be considered. We eagerly await more definitive data to arrive at a complete understanding of protein degradation inside chloroplasts. The commentary by Eckardt et al. (2024) includes expert opinions on compelling open questions in plant proteolysis research. De Roij et al. (2024) summarize the discovery of the auxin receptor and a core auxin signaling hub that relies on the degradation of Aux/IAA transcriptional inhibitors, highlighting the interconnection of proteolytic systems in auxin signaling. Genschik et al. (2024) review evidence that key components of the RNA silencing machinery in plants are regulated by proteolysis during plant development and by microbial hijacking of endogenous proteases. Liu et al. (2024) summarize the roles various proteases play in plant immunity, highlighting studies focused on engineering components of proteolysis to achieve broad-spectrum resistance without yield reduction in crop species. Three reviews cover proteolysis in relation to organelles. Otegui et al. (2024) review mechanisms that control the vacuolar degradation of plant organelles, emphasizing autophagy and crosstalk with other pathways. Zhuang et al. (2024) review the biogenesis of the autophagosome in plants, the double-membrane structure that delivers cargo to the vacuole during autophagy, with emphasis on autophagosome-organelle interactions under abiotic stress conditions. Van Wijk (2024) then reviews the proteolysis network within chloroplasts and non-photosynthetic plastids that is distributed across the intra-chloroplast compartments of lumen, thylakoid, stroma, and plastid envelopes. Three more reviews focus on different aspects of how proteins are recognized and tagged for proteolysis. Isono et al. (2024) review the complex process of how specific proteins are targeted for various degradation pathways in plants. Vogel and Isono (2024) review the process and components of deubiquitylation in plants and its importance in understanding the ubiquitin code that targets proteins for degradation by the ubiquitin-proteasome system and other outcomes. Finally, Ghosh et al. (2024) review the evolution of the small ubiquitin-like modifier (SUMO) system in plants with an emphasis on the relation to stress adaptation. In the first of 8 original research articles, Huang and Rojas-Pierce (2024) present a breakthrough report in which they describe an inducible protein degradation system in plants that might be used to study the loss of any cytoplasmic plant protein with high-temporal resolution. Kourelis et al. (2024) report on the bioengineering of secreted proteases from eggplant, tobacco, and tomato, triggering Avr2/Cf-2-dependent immunity to the fungal pathogen Cladosporium fulvum. Wu et al. (2024) study the phenomenon of virus-induced drought tolerance in common bean and show that a viral small interfering RNA-host plant mRNA pathway modulates virus-induced drought tolerance by enhancing autophagy. Feiz et al. (2024) find that the jasmonic acid COI1 F-box receptor proteins regulate DELLA protein levels, by triggering proteasome-dependent DELLA degradation, to regulate growth, photosynthetic efficiency, and defense pathways in maize. Finally, 4 articles report on the function of different E3 ubiquitin ligases in plant development and stress responses. Zhang et al. (2024) studied the large plant protein BIG, a homolog of an E3 ubiquitin ligase in mammals, whose function and molecular activity in plants is unclear. They report the interaction of BIG with other E3 ligase components that interact with the proteasome, and a potential function in suberin deposition and plant response to hypoxia. Yue et al. (2024) investigated the protein LARGE2 in rice, the mutant of which produces large panicles with increased grain size, and report that this HECT-domain E3 ubiquitin ligase functions together with other E3 ligase components to control rice panicle and grain size. Yu et al. (2024) show that 2 E3 ubiquitin ligases, MAC3A and MAC3B, mediate degradation of the transcription factor ERF13, thereby promoting lateral root emergence in Arabidopsis. Du et al. (2024) report that the ABA-responsive E3 ligase PUB35 forms a module with ABI5 BINDING PROTEIN1 (AFP1), which negatively regulates ABA signaling by mediating the ubiquitylation and degradation of the transcription factor ABI5. These articles contribute a wealth of new information and insightful review and discussion of the state of the art of proteolysis research in plants. We hope that this focus issue stimulates further progress in this arena. We encourage authors to continue to submit their best work on plant proteolysis to The Plant Cell. Articles published in this area within 8 to 12 mo of this focus issue will be added to an online collection on proteolysis, building on the articles presented here.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,014
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,085

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,014
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,003
Communication savante0,0050,005
Science ouverte0,0030,003
Intégrité de la recherche0,0190,019
Charge utile insuffisante (le modèle a refusé de juger)0,0250,015

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,009
Tête enseignante GPT0,221
Écart entre enseignants0,212 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2024
Routes d'admission1
Résumé présentoui

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