Identification and quantification of proteins in Malus domestica affected by bitter pit
Notice bibliographique
Résumé
Bitter pit is a physiological disorder that occurs in apple, pear, and quince and has been associated with calcium uptake or lack thereof. Although bitter pit has been studied for over a century, there is still not enough knowledge about bitter pit and why there are no completely effective preventive treatments to reduce fruit loss. In a previous group publication (Val et al. 2006), it was conjectured after SDS-PAGE that an unknown 18 kDa protein might contribute to bitter pito The objective of the present study was to identify this 18 kDa protein and get more extensive data on the proteomic changes associated to bitter pit using the latest mass spectrometry-based proteomics. Healthy and bitter pit fruit samples (Malus domesica 'Reinette gris du Canada' and Malus domestica 'Golden Smoothee') were collected near Zaragoza (Aragón, Spain). Following phenol extraction, ten µg protein were allowed to run on SDS-PAGE, trypsin digested, and digestion products were analyzed on a Q-Exactive mass spectrometer (Thermo Scientific). Proteins were identified with X!Tandem pipeline software (http://pappso.inra.fr/) and relative quantification was performed by spectral counting. More than two hundred proteins were identified in the range of 12-24 kDa. We focused on 35 proteins that varied significantly between the two conditions (bitter pit vs. healthy) being over/under expressed. There were 26 and 22 bitter pit proteins ('Reinette gris du Canada' and 'Smoothee Golden Delicious,' respectively) detected with at least 50% greater abundance when compared to their respective healthy counterparts. Among these proteins, 14 found in both cultivars, were identified as Pathogenesis-related protein Bet v 1, a major allergen found in trees within the order Fagales. In both apple cultivars, 2 proteins were identified as thaumatin-like protein (TLP), a group of proteins responsible for several fruit allergies. Glutathione S-transferase, linked to protein binding and heat shock transcriptional factors (Hsfs) in Malus, was abundantly detected in bitter pit samples for both cultivars. Several proteins identified near or at 18-kDa, are related to Malus domestica' response to stress, desiccation, and increased protein binding. Considerable differences were found in allergen concentrations between bitter pit and healthy samples, suggesting an increased allergen risk for consumers who ingest bitter pit affected fruit.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».