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Notice bibliographique
Résumé
Isoflavonoids are a class of plant specialized metabolites that are almost exclusively found in the Fabaceae (legume) family. These compounds play crucial roles in plant physiology, including facilitating symbiosis with nitrogen-fixing bacteria known as Rhizobia and protecting against pathogenic microbes. However, the occurrence and composition of the isoflavonoids and their derivatives are varied among the Fabaceae. There is a great array of structural diversity, especially in the chemical tailoring of the scaffold beyond the canonical isoflavones (e.g., daidzein and genistein). Correspondingly, there are lineage-specific divergences in the modes of biosynthesis, accumulation, and storage. The Lespedeza genus within the Fabaceae is underexplored except for initial profiling over two decades ago. Surprisingly, those early studies showcased the incredible diversity of isoflavonoids in the genus and indicated strong antioxidant and therapeutic potential. Thereafter, certain isoflavonoids derived from the Lespedeza spp., including phenoxodiol, have been identified as putative anticancer drug targets. However, there remains a dearth of metabolomic or genomic datasets to investigate the biosynthesis of this unique chemical repertoire. Lespedeza capitata Michx. is a noteworthy species within this genus, with agro-ecological and ethnobotanical relevance. Known commonly as roundheaded bushclover, it is native to the northeastern regions of the US and eastern Canada. This species has been the source of Indigenous medicines, including as a counter-irritant for rheumatism, analgesic for neuralgia, and antidote for poison. Several reports have showcased the pharmacotherapeutic properties of the plant extracts of L. capitata, including promoting healthy kidney functioning, tissue regeneration, and blood pressure regulation. However, there is a knowledge gap in understanding the bioactive compounds and their biosynthesis. Therefore, my thesis describes an in-depth spatio-temporal metabolomic profiling of L. capitata to capture the composition and content of isoflavonoids in several tissue and development stages. For a multi-omics approach, the harvested tissues were homogenized and divided into two parts for metabolite analysis, detailed here, and for RNA sequencing and transcriptomic analysis at a later date. Chemical analyses were performed using targeted and untargeted approaches with liquid chromatography triple-quadrupole mass spectrometry (LC/TQ-MS) and quadrupole time-of-flight mass spectrometry (LC/QTOF-MS) to quantify known metabolites and identify novel targets. Six known isoflavonoids were detected and quantified, including the isoflavone aglycones genistein and glycitein, their glycosylated counterparts genistin and glycitin, and the O-methylated isoflavonoids formononetin and biochanin A. In parallel, untargeted analysis was conducted, coupled with MS/MS collision-induced fragmentation of unknown peaks, providing predicted structures of twenty-three uncharacterized features belonging to the flavonoid and isoflavonoid classes. An interesting example is the pterocarpan “1-methoxyerythrabyssin II,” which was putatively identified and found most abundantly in mature roots. This isoflavonoid derivative has previously been reported in the related species L. bicolor and has been associated with inhibiting bacterial neuraminidase, a key enzyme in bacterial pathogenesis. To complement this detailed metabolomic profile, a list of legume-specific isoflavonoid gene targets has been curated that will allow the future querying of corresponding transcriptomic datasets. This spatio-temporal study of isoflavonoid metabolism in L. capitata creates a springboard for pathway discovery leading to high-value metabolites, including those with pharmacotherapeutic properties.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| 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 | 0,001 | 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 découle