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
Bibliographic record
Abstract
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 .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".