Comparative Genomic Analysis of Wild and Cultivated Mung Bean (Vigna radiata)
Why this work is in the frame
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Bibliographic record
Abstract
Mung bean ( Vigna radiata ) is an important edible and forage legume crop and has a wide history of cultivation and consumption in Asia and other regions. Wild mung beans, as a close relative of cultivated mung beans, retain rich genetic diversity and are of great value for studying the domestication process and genetic improvement of mung beans. This study, based on whole-genome resequencing and comparative analysis, systematically analyzed the genomic structure, gene family evolution, genetic diversity and population structure of wild and cultivated mung beans. The results show that the genome of cultivated mung beans has undergone significant structural variations compared to the wild type, including the expansion and contraction of some gene families. Population genetic analysis indicates that mung beans experienced significant genetic bottlenecks during domestication, leading to a decline in SNP and InDel diversity in cultivated varieties. Meanwhile, comparative analysis revealed that a number of key genes related to flowering period, seed size, nutritional quality and stress resistance presented differential selection signals between wild and cultivated mung beans. Further gene function annotation and pathway analysis suggest that these genes may have played a significant role in the adaptive evolution and cultivation improvement of mung beans. This study established a genomic comparison framework between wild and cultivated mung beans, providing new evidence for understanding the domestication mechanism of legume crops and offering a strong reference for molecular breeding and genetic improvement of mung beans.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 it