Assessment of DNA Barcoding for the Identification of Chenopodium murale L. (Chenopodiaceae)
Bibliographic record
Abstract
Chenopodium murale L. (Chenopodiaceae) is an erect annual herbaceous weed. This species is a threat for ecosystems worldwide as this annual-weed affects the growth and development of other plants by reducing the biological nitrogen-fixing ability. We evaluated the barcoding genes of the plastid region of C. murale [rbcL (Ribulose-1,5-bisphosphate carboxylase/oxygenase) and matK (Maturase K)] for the success of PCR amplification, the differential inter-specific divergences and the ability of a single gene or combination of rbcL and matK genes to discriminate C. murale as individual species. Online nucleotide database-search using individually produced sequences of rbcL and matK gene of the plastid region primarily identified the specimen as C. murale with 100% sequence similarity. The single gene matK showed better resolution of the tree compared with the other phylogenetic-trees that were inferred from the single rbcL gene sequence or the combination of sequences of rbcL and matK. We found that single gene sequence of matK had high discrimination efficiency for the identification of the species C. murale as well as for the other 11 species (C. album, C. ambrosioides, C. bonus-henricus, C. ficifolium, C. foliosum, C. glaucum, C. polyspermum, C. rubrum, C. simplex, C. urbicum & C. vulvaria) under the genus Chenopodium.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 teacher head, 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".