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Record W4412927381 · doi:10.5376/ija.2025.15.0011

Mitochondrial Genome Variation in <i>Channa</i> and Its Implications for Phylogenetic Relationships

2025· article· en· W4412927381 on OpenAlexvenueno aff
Fei Zhao, Jinni Wu

Bibliographic record

VenueInternational Journal of Aquaculture · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMitochondrial DNABiologyPhylogenetic treePhylogenetic relationshipGenomeGeneticsEvolutionary biologyGene

Abstract

fetched live from OpenAlex

The genus Channa  is a kind of freshwater fish with important economic value and ecological significance. Its species diversity and phylogenetic relationship have long been concerned. This study systematically sorted and compared the mitochondrial genome sequences of different species and regional populations of the genus Channa , deeply revealed its genome structure composition, variation characteristics and phylogenetic relationship, clarified the lineage differentiation pattern and evolutionary path within the genus Channa , and constructed a high-resolution phylogenetic tree by analyzing genetic variations such as SNP, InDel and non-synonymous mutations. Regional comparison showed that there were significant differences in mitochondrial variation between the southern Chinese and Southeast Asian populations of Channa , and geographical isolation contributed to the formation of lineages in different regions. Case analysis represented by Channa argus  and Channa maculata  further revealed their genomic differences and ecological adaptation mechanisms. This study is expected to provide a theoretical basis for species identification, resource protection and genetic diversity assessment of Channa , and also provide a methodological reference and practical path for studying the phylogenetic relationship of freshwater fish using mitochondrial genome.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.952
Threshold uncertainty score0.185

Codex and Gemma teacher scores by category

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

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 head0.024
GPT teacher head0.259
Teacher spread0.235 · 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 teacher head, 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

Citations0
Published2025
Admission routes1
Has abstractyes

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