SSR loci polymorphism in soybean varieties originating with different country origins
Bibliographic record
Abstract
Topicality. Microsatellite DNA sequences are widely used to identify the genotypes of living organisms. In 2014, the Chinese standard ‘NY/T 2595-2014. Identification of soybean varieties. SSR marker method’ on the identification of soybean varieties by polymorphism of 36 SSR loci was approved. In Ukraine, there are no approved regulatory documents on the identification of crops using DNA markers, including soybeans. Therefore, the study of the level of diversity and differentiation capacity of SSR markers proposed in the standard NY/T 2595-2014 in soybean varieties common in Ukraine is of interest. Purpose. Study of polymorphism of nine SSR loci in nine soybean varieties and divergence between soybean varieties bred in different countries. Materials and Methods. Nine soybean varieties were used in the work. The variability of nine microsatellite loci specified in the standard NY/T 2595-2014 as the most polymorphic in soybean varieties was evaluated. Polymorphism of SSR loci was studied using polymerase chain reaction with detection of results in agarose gel. The level of polymorphism in soybean varieties was assessed using the Nei genetic diversity index. The classification of soybean varieties was carried out by the nearest neighbor joining method in the PHYLIP program. Results. It was found that the total level of polymorphism of the studied SSR loci in nine soybean varieties, estimated by the Nei index, was 0.57±0.04. According to the studied SSR loci, no identical varieties were found; the values of genetic distances between all varieties were above 0. The Ukrainian varieties Raiduha and Hospodynia were the most genetically related, and the most distant were pairs of varieties Yunka (Canada) and Ultra (USA), Raiduha (Ukraine) and Yunka (Canada), Hospodynia (Ukraine) and Commandor (France). It was established that the Ukrainian varieties of Raiduha and Hospodynia are more genetically distant from all other soybean varieties studied. European and North American soybean varieties were divided into 2 groups. No grouping of varieties according to geographical origin was found. Conclusions. A significant resolution of SSR loci in the investigated soybean varieties was shown. The obtained results can be effectively used to identify soybean varieties, determine the efficiency of artificial hybridization, determine genetic purity, as well as in drawing up hybridization schemes taking into account remote ecological and geographical combinations. Key words: DNA markers, microsatellite loci, molecular genetic diversity, genetic distances, divergence
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".