DEVELOPING CHENOPODIUM FICIFOLIUM AS A DIPLOID MODEL SYSTEM RELEVANT TO GENETIC CHARACTERIZATION AND IMPROVEMENT OF ALLOTETRAPLOID C. QUINOA
Notice bibliographique
Résumé
Quinoa, Chenopodium quinoa Willd., is a potential new high-value crop for Northern New England (NNE) because of its excellent nutritional qualities and its ability to grow in diverse agroecosystems. However, quinoa field trials have not been successful thus far in NNE because of some major issues such as downy mildew disease, severe lodging (bending over), excessive branching, overly long maturation time, and immature grains at harvest. Quinoa is an allotetraploid (2n=4x=36) species of genome composition AABB, and thus has two distinct diploid ancestors. This study reports foundational genetic studies in the BB diploid (2n=2x=18) ancestor, Chenopodium ficifolium, as a potential model system for genetic studies relevant to quinoa gene identification and marker-assisted breeding. The specific objectives of this research were to (1) To make crosses/hybrid between C. ficifolium accessions (2) To evaluate the parental accessions for differences in various traits relevant to quinoa breeding programs and to study the extent of segregation of those traits in F2 generation populations (3) To identify the marker-trait association between the FTL locus marker and any of the segregating traits. C. ficifolium accessions, Portsmouth (P) and Quebec City (QC) were collected from two locations and were reciprocally crossed to generate F1 hybrids, which upon molecular confirmation of hybridity were self-crossed to produce F2 generation populations. Phenotypic data were collected and F2 generation segregation was evident for several agronomically relevant traits, including flowering time, plant height, the number of branches, branch angle, internode distance, and leaf chlorophyll content. The FTL marker locus was used for genotyping the F1 and the F2 population, and both FTL homologs, FTL1 and FTL2, were characterized molecularly by sequencing the PCR amplicons generated from the CrFT345For and CrFT501Rev primer pair. Marker-trait associations were detected in the F2 population between the FTL1 marker and each of three important agronomic traits: flowering time, plant height, and the number of branches. A high positive correlation was also found among the traits flowering time, plant height, and the number of branches. Genomic sequences of P and QC accessions were compared to the quinoa reference genome and 5,218,465 single nucleotide polymorphisms (SNPs) were detected in the P and QC accessions. Polymorphisms were also identified between P and QC accessions for the coding sequence and promoter region of the FTL1 gene that could have some functional significance with the observed trait variance in the F2 population. Although the association of the FTL1 gene to the various traits was identified, this study was not able to confirm a functional role of the FTL1 gene with any of the agronomic traits evaluated. An appropriate growing environment for C. ficifolium was also identified that provided for proper growth and ease of visualization of phenotypic differences between the studied accessions of C. ficifolium. Overall, these results validate and contribute to the development of C. ficifolium as an appropriate diploid model system for studying the genetic and molecular basis for agronomic trait diversity in the related tetraploid crop plant, quinoa.
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 | 0,000 |
| 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 ».