Genetic analysis of carotenoid biosynthesis in chickpea (Cicer arietinum L.) seeds
Notice bibliographique
Résumé
Vitamin A deficiency is a worldwide problem especially in the third world countries. Improvement of carotenoid levels in the edible parts of the crops has been one of the major objectives of many plant breeding programs. Chickpea (Cicer arietinum L.) is an important source of carotenoids. The availability of diverse germplasm resources along with the availability of its genome sequence, makes chickpea an ideal object for studying carotenogenesis in pulses. The objectives of this research were: 1) to identify the genomic regions associated with carotenoid concentration in diverse chickpea accessions and in populations derived from biparental crosses, 2) to examine the effects of environment on carotenogenesis, 3) to examine the relationship between cotyledon colour and carotenoid concentration, and 4) to examine the expression patterns of the genes involved in carotenoid biosynthesis during seed development. A genotypic panel of 172 chickpea accessions was evaluated in 2015 and 2016 with one location per year in Saskatchewan, Canada. The effects of genotype and environment were significant on the concentration of each carotenoid component. The mean and range for the concentration of each component based on the average of two-years data are as follows: 10.14 and 3.5-28.2 µg g-1 for lutein, 0.37 and 0-3.04 µg g-1 for violaxanthin, 1.65 and 0.27-2.84 µg g-1 for zeaxanthin, 0.09 and 0-2.5 µg g-1 for β-carotene respectively.\nThe chickpea genotypic panel consisted of two major subpopulations, kabuli and desi groups, along with an admixture group. Genome-wide association analysis revealed that the genes in the primary steps of carotenoid biosynthesis and those involved in apo-carotenoid production had significant associations with carotenoid concentration in chickpea. Three F2 populations derived from crossing cultivars with green and yellow cotyledons were used to identify QTL associated with carotenoids. Five to eight QTLs responsible for different carotenoid components were identified in each population. In all three populations, the highest phenotypic variation explained by QTL was found for the β-carotene concentration. Cotyledon colour (CotCol) was mapped on linkage group 8 in each population. A positive and significant relationship between cotyledon colour and carotenoid concentration was identified in this experiment. The structure, genomic location, and copy number of 29 genes involved in carotenoid and isoprenoid pathways were retrieved in the chickpea genome. Two missense mutations were found in zeta carotene isomerase (ZISO2) in CDC Verano, a green cotyledon kabuli cultivar, which might explain the higher carotenoid concentration in this cultivar. The expression patterns of 19 genes from the carotenoid pathway were analyzed in five chickpea cultivars at different seed developmental stages. The highest expression level from all the genes was observed at eight and 16 days post-anthesis across the five cultivars. The highest carotenoid concentration and expression levels of the carotenoid genes were found in CDC Jade, a desi cultivar with green cotyledons. Based on gene expression analysis, the desaturation and isomerisation reactions positively affected the carotenoid concentration, while hydroxylation adversely affected the carotenoid concentration. The results from this research could help breeders to develop chickpea cultivars with improved carotenoid/provitamin A levels through molecular breeding.
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| 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) | 0,003 | 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 ».