QTL mapping genes conferring resistance to race 4 of soybean cyst nematode in soybean ZDD2315 (Glycine max (L) merr.) based on public molecular genetic linkage map
Notice bibliographique
Résumé
Soybean Cyst Nematode (SCN, Heletrodera glycine Ichineohe), a kind of soilborn sedentary endoparasite and the pathogen of soybean chlorsis, is one of the most economically destructive disease of soybean. Ther are more than ten physiologica raes, SCN race 4 is the predominant race and the most damaging soybeab pathogen in China. Classical genetic studies demonstrated that the resistance to SCN is controlled by 1 to 4 loci, recent studies suggested that there should be more than tenm resstant loci in soybean. The advent of molecular markers and quantitative trait locus (QTL) mapping approcahs in the last decade give an efficient alternative to study the mechnism of resistant ot SCN, it swill be considerable signifacance to accelerate the research f SCN resistance breeding. A population of 253 F_(2:3); families which was generated from cross between ZDD2315 and jinbean 23 were used for molecular marker identificaiton. ZDD2315, a local germplasm of Shanxi province, is high resistanct to SCN race 4. Jinban 23 is a releasign cutlivar and is susecptible to SCN race 4. We evaluted the resistane of soybean by counting the numbers of SCN cystm in soyean seedlin root planting in plastic vessels. in this research we constructed molcular map in the regions of min resistance locus. QTLs conferring resistance to SCN were detcted and teh geetic effect of each QTL were also evaluated. According to the linkage group A and G of published soyban molecular linkage map total twenty SSRs were adopted in this research, Eight SSRs were dientified in the F_(2:3) population, they are Satt038(176bp, 182bp), Satt309(130bp, 135bp), Satt610(240bp, 222bp), Satt187(300bp, 250bp), Sat 141 (2189bp, 184bp0,315, Satt(253bp, 248bp), Satt632(286bp, 290bp), Sat 162_(200bp, 286bp) Those SSRs are codominant, single locus, good reproducible and stable. A hundred of ISSR markere were used to screen erresistance to SCn ace 4 by means of bulked segregant analysis (BSA). One ISSR marker (U*BC811) was identified to be related to SCN resistance. The ISSR marker is dominant, an amiplified band of 340bp appeared in the susceptible parent and correspondent F_(20 lines. One morphologic agronomic trait, black seed coat, was also inwestigated in F_(2) populaton. The result showed that black seed coat (BSC) is sparated by expected ratio of 3:1, and can be predicated as a recessive allele in controlling seed coat color. A molecular map was constructed using Mapmaker program with those markers and two linkage groups were obtained. Five amrkers, Sat 141. Satt610, Satt038, Satt309 and UBC811, were mapped to linkage group G. with a length of 50.5cM. Four markers including Satt315, Satt187, Satt632, Sat162 and one morphologica marker (BSC) were mapped to linkage group A with a length of 53.7cM. By means of complicated interveal mapping, three QTLs had been mapped to soybean linkage A and G, resepceively, conferring resistance to SCN race 4. There is one mapped QTL on linkage group G and is 2.0cM away form Satt610 marker, it is named rhg-R4gI and explams 15.87% of the phenotypic variation. Theer are of the two QTLs, wich is 0.2cM away from Sat 162 marker and 1.6cM from BSC marke on linkage gorup A, resperctiely. They are named rhg-R4a1 and rhg-R4a2 that explains 11.13% and 6.15% of the total phenotypic variation, respetively. Gene actions of rhg-R4al, rhg-R4a2 and rhg-R4gi, ar party dminant, dominant and overdominant, resepcively. The sum of variation of 3 QTLs is 33.33%. In the case of the SSR markers Satt610, which is 2.0cM waawy formt eh QTL of rhg-R4gl on linkage group G. and Sat 162, which is 0.2cM wawy form teh TQL of rhg-R4a2 on linkge group A, seve of forty-one soybean varieties used in this tudy were identified to have the special resitant banding patterns. The result show that Satt610 and Sat 162 makers associated with loci conferring SCN race 4 esistance would be usefuli in breeding program using marker assisted selection to sassitanctly identificate resistance disease trait of SCN .
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 | 0,001 |
| 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 | 0,000 | 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 ».