Genomic characterization of three Vietnamese indigenous chicken varieties using mitochondrial D-loop sequences
Bibliographic record
Abstract
In this study, partial mitochondrial DNA (mtDNA) D-loop sequences of three Vietnamese indigenous chicken varieties, including Mong Tien Phong, To, and Sau Ngon, were analyzed to access genetic diversity and the maternal lineages of origin. A 525 bp fragment of the mtDNA D-loop region was sequenced from a total of 61 chickens of the three varieties. A neighbor-joining phylogenetic tree was assembled from the haplotypes obtained and reference sequences of mtDNA D-loop sequences of Red Junglefowl and domestic chickens from National Center for Biotechnology Information database. Genetic diversity indices and analysis of molecular variance were performed. Evaluation of genetic relationships between the three varieties was carried out with pairwise fixation index (FST). In total, 16 haplotypes were identified in the chickens studied. These haplotypes were classified in three haplogroups (A, B, and E) with the majority grouped in haplogroup B and haplogroup E. All three chicken varieties studied were distributed into 2–3 haplogroups and all three haplogroups found in this study are also represented by Red Junglefowl. In conclusion, all three Vietnamese indigenous chicken varieties have likely originated from multiple maternal lineages and potentially descended from the Red Junglefowl.
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 | 0.000 |
| 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) | 0.001 | 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".