Mitochondrial plastid DNA can cause DNA barcoding paradox in plants
Bibliographic record
Abstract
The transfer of ancestral plastid genomes into mitochondrial genomes to generate mitochondrial plastid DNA (MTPT) is known to occur in plants, but its impacts on mitochondrial genome complexity and the potential for causing a false-positive DNA barcoding paradox have been underestimated. Here, we assembled the organelle genomes of Cynanchum wilfordii and C. auriculatum, which are indigenous medicinal herbs in Korea and China, respectively. In both species, it is estimated that 35% of the ancestral plastid genomes were transferred to mitochondrial genomes over the past 10 million years and remain conserved in these genomes. Some plastid barcoding markers co-amplified the conserved MTPTs and caused a barcoding paradox, resulting in mis-authentication of botanical ingredients and/or taxonomic mis-positioning. We identified dynamic and lineage-specific MTPTs that have contributed to mitochondrial genome complexity and might cause a putative barcoding paradox across 81 plant species. We suggest that a DNA barcoding guidelines should be developed involving the use of multiple markers to help regulate economically motivated adulteration.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".