Role of Arabidopsis receptor for activated C-protein kinase 1 in plant growth, development and abscisic acid responses
Notice bibliographique
Résumé
In mammalian cells and yeast, RACK1 (Receptor for Activated C Protein Kinase 1) regulates various signaling pathways and cellular processes through its interaction with numerous signaling proteins. However, its functions in plants are poorly understood. My PhD project utilizes a combination of genetic, molecular, biochemical, bioinformatic, and cell biological approaches to study the function of RACK1 in plants using Arabidopsis as a model system. The first part of my study focused on the role of RACK1 genes in plant growth and development. The Arabidopsis genome contains three RACK1 genes, namely RACK1A, RACK1B and RACK1C. Using a genetic complementation approach, I discovered that three Arabidopsis RACK1 genes are functionally equivalent and positively regulate plant root and shoot growth and development. The second part of my study focused on the role of RACK1 genes in abscisic acid (ABA) responses. ABA primarily mediates plant responses to abiotic stress. It is one of the five classic plant hormones. Through physiological and molecular biological assays, I established that the three RACK1 genes function as negative regulators of ABA responses and that they are also involved in salt and drought stress responses. In searching for the molecular function of RACK1 in ABA responses, I first looked into the potential interaction between RACK1 and the heterotrimeric G-protein complex (another negative regulator of ABA responses). Both protein(s) (complex) are highly conserved between Arabidopsis, yeast and mammal and a physical interaction between them were found in non-plant systems. I discovered that Arabidopsis RACK1 and a heterotrimeric G-protein complex appeared to work additively in ABA responses. Moreover, there was no physical interaction detected between the Arabidopsis homologs of RACK1 and the subunits of G-protein complex. These data indicate that Arabidopsis RACK1 and heterotrimeric G-protein complex work in independent manner in regulating ABA responses, distinct from their counterparts in mammalian and yeast cells. I next looked into the potentially evolutionarily-conserved role of RACK1 in regulating protein translation as a candidate mechanism via which RACK1 could negatively influence ABA responses. I found five lines of evidence directly or indirectly supporting this hypothesis: all three Arabidopsis RACK1s complemented the growth defects of the yeast rack1/cpc2 mutant; the rack1 mutation had an additive effect with anisomycin, an inhibitor of protein translation, on root growth; RACK1 physically interacted with Arabidopsis eukaryotic initiation factor 6 (eIF6), also known to regulate ribosome assembly and translation initiation in mammalian cells; rack1 mutants displayed impaired 60S ribosome subunit biogenesis and 80S functional ribosome assembly. In addition, ABA constantly inhibited the expression of RACK1 and eIF6. In summary, my PhD work has advanced our understanding of the versatile role of RACK1 genes in regulating several traits in plant growth and development as well as ABA/stress responses. I also found that Arabidopsis RACK1 and heterotrimeric G-protein complex, different from their counterparts in mammals and yeast, worked independently in regulating ABA responses. In addition, I established a role of Arabidopsis RACK1 in regulating protein translation, which was the first defined cellular process in which RACK1 is involved. At last, the data from my study indicates a role of RACK1 as a molecular link between ABA signaling and its effect on protein translation.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,001 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».