Determination of the complete genomic sequence and molecular biological analysis of<i>Soybean mosaic virus</i>
Bibliographic record
Abstract
Soybean mosaic virus (SMV; Potyvirus, Potyviridae) is a plant pathogenic virus that infects many commercially important plants worldwide, including soybean, and impairs their production and quality. SMV can be classified into strains based on differences in virulence. Many of these strains have been sequenced; however, only a few complete genomic sequences of virus strains and isolates from soybean grown in China have been reported. In this study, the complete genomic sequences of three SMV isolates of different virulence from plants in China were determined and compared with the sequences of 54 other SMV strains and isolates. Genomic nucleotide diversity analysis and the Neutrality Test showed that the sequence of the 5′ untranslated regions (5′UTR) of the virus genome-linked protein (VPg) and first protein (P1) genes had been altered by negative selection pressure. Phylogenetic analyses indicated that sequence variation in the cytoplasmic inclusion (CI) cistron of the virus was correlated closely with the level of virulence and with the source of the virus isolate. The CI gene was found to be crucial for classification and characterization of the SMV strains, and may be a determining factor in the level of SMV virulence.
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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 | 0.001 |
| 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".