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Record W2972042581 · doi:10.1139/gen-2019-0122

Population genetics of the solanum fruit fly, <i>Bactrocera latifrons</i> (Hendel) (Diptera: Tephritidae)

2019· article· en· W2972042581 on OpenAlexvenueno aff
Chonticha Kunprom, Pairot Pramual

Bibliographic record

VenueGenome · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect behavior and control techniques
Canadian institutionsnot available
FundersMahasarakham University
KeywordsBiologyTephritidaePopulationGenetic structureGenetic diversityGeneticsHaplotypeGenetic variationEvolutionary biologyPEST analysisBotanyGeneAllele

Abstract

fetched live from OpenAlex

The solanum fruit fly, Bactrocera latifrons (Hendel), is an important pest species of commercial plants in the family Solanaceae. In this study, the population genetic structure of B. latifrons was investigated using mitochondrial cytochrome c oxidase I sequences. A mitochondrial DNA haplotype network revealed no major genetic break, but haplotypes from recently invaded areas in Japan, Tanzania, and Kenya were genetically divergent. The overall haplotype network is approximately star-shaped, characteristic of recent demographic expansion of populations. This is also supported by large negative values of neutrality tests. Despite the overall pattern of recent population history, genetic structure analysis revealed considerable genetic structuring with 33% of pairwise comparisons being significantly different. Populations that were genetically different from the others usually possess low genetic diversity, suggesting that genetic drift is potentially a factor driving genetic differentiation. Local extinction and recolonization processes related to the availability of host plants are most likely responsible for a founder effect and subsequent genetic drift in a population.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.193
Teacher spread0.184 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

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