Genetic Relationship between Korean Verticillium dahliae Isolates and the Other Verticillium Species
Bibliographic record
Abstract
국내 Verticillium dahliae 균주를 공시하여 다른 Verticillium 종과의 유전적 차이와 다양성을 밝히고자 국내 두 지역으로 부터 분리한 V. dahliae를 포함한 7종의 Verticillium속 14균주를 대상으로 mitochondrial small subunit rRNA gene (rns) 영역 염기서열 분석과 random-amplified polymorphic DNA(RAPD)를 실시하였다. rns 영역 염기서열의 분석에서 국내 분리균인 5개의 V. dahliae균주는 Verticillium속 내 다른 종들과 달리 하나의 그룹을 형성하였고, 외국 균주들과도 동일한 그룹을 이루었다. rns 영역 염기서열 분석뿐만 아니라 RAPD 분석에서도 Verticillium속의 다른 종들과 구별되어 V. dahliae가 한 그룹을 형성하였으나 V. dahliae 균주간에 형성된 세 개의 소그룹을 통하여 동일한 국화과 작물로 부터 분리한 V. dahliae 간에 분리된 지역에 따라 유전적 다양성이 존재함을 확인하였다. 이러한 결과는 국내 V. dahliae의 유전적 다양성연구와 유연관계분석에 기초적인 자료로 사용될 것이다. To provide basic information for Verticillium spp., molecular methods were applied to analyze genetic characteristics within Verticillium spp. including Verticillium dahliae, isolated from diseased plants in two regions of Korea. Five Korean isolates of V. dahliae causing Verticillium wilt on chrysanthemum were analyzed, together with six other Verticillium spp., using mitochondrial small subunit rRNA gene (rns) sequence and random-amplified polymorphic DNA (RAPD). In a phylogenetic tree based on rns region sequences, Korean V. dahliae isolates formed a single clade with foreign isolates, whereas the other Verticillium spp. formed separate groups. In addition to rns sequence analysis, a dendrogram based on RAPD fragment patterns also showed clustering of all V. dahliae isolates into one group, separate from the six different Verticillium spp., and the V. dahliae isolates formed three subgroups which corresponded to the regions of origin, Kumi, Busan city and Canada. This indicates that high genetic variation exists between regions, although the fungus was isolated from the same host plant, chrysanthemum. These results provide the foundation for the study of genetic diversity and relationships among V. dahliae isolates in Korea.
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) | 0.000 | 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 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".