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Record W4376645505 · doi:10.3390/genes14051088

The Complete Mitochondrial Genome and Phylogenetic Analyses of To Chicken in Vietnam

2023· article· en· W4376645505 on OpenAlexaff
Lan Doan Pham, Thi Thanh Nhan Giang, Van Ba Nguyen, Thi Phuong Mai Pham, Thi Thu Thuy Tran, Thi Quynh Chau Nguyen, Khanh Van Nguyen, Duy Ngoc

Bibliographic record

VenueGenes · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsDalhousie University
FundersMinistry of Science and Technology
KeywordsBiologyMitochondrial DNAGenetic diversityPhylogenetic treeBreedGeneticsGeneGenomeD-loopEvolutionary biologyPopulation

Abstract

fetched live from OpenAlex

Indigenous chicken breeds have both cultural significance and economic value since they possess unique genetic characteristics that enable them to adapt to the local environment and contribute to biodiversity, food security, and sustainable agriculture in Vietnam. To (Tò in Vietnamese) chicken, a Vietnamese indigenous chicken breed, is popularly raised in Thai Binh province; however, little known is about the genetic diversity of this breed. In this study, we sequenced the complete mitochondrial genome of To chicken for a better understanding of the diversity and origin of the breed. The results of sequencing showed that the mitochondrial genome of To chicken spans a total length of 16,784 base pairs and comprises one non-coding control region (known as the displacement-loop (D-loop) region), two ribosomal RNA genes, 13 protein-coding genes, and 22 transfer RNA genes. The phylogenetic tree analyses and estimated genetic distances based on 31 complete mitochondrial genome sequences indicated that To chicken has a close genetic distance with the Laotian native chicken breed, Lv'erwu breed in China, and Nicobari black and Kadaknath breeds in India. The result of the current study might be important for conservation, breeding, and further genetic studies of To chicken.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.061
GPT teacher head0.280
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2023
Admission routes1
Has abstractyes

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