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Record W2168049432 · doi:10.5539/ijb.v2n1p19

Population Genetics of Drosophila ananassae: Evidence for Population Sub-Structuring at the Level of Inversion Polymorphism in Indian Natural Populations

2010· article· en· W2168049432 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Biology · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
Fundersnot available
KeywordsGene flowBiologyIsolation by distancePopulationStructuringEvolutionary biologyGeneticsPopulation geneticsGenetic driftGenetic structureGene poolGeneGenetic variationGenetic diversityDemography

Abstract

fetched live from OpenAlex

Drosophila ananassae is a cosmopolitan and domestic species distributed in the tropical, subtropical and mildlytemperate regions. Population structure analysis in forty-five Indian natural populations of D. ananassae was performedemploying three cosmopolitan inversions as markers. Pairwise FST analysis and genetic distance (D) values showed stronggenetic differentiation. Though, lowermost values correspond to geographically closest populations, we did not find anysignificant ‘isolation by distance’ effect. Values of gene flow based on FST estimates are very low (Nm < 5). All thesefindings, viz. strong genetic differentiation and minimal gene flow indicate strong sub-structuring in Indian naturalpopulations of D. ananassae at the level of inversion polymorphism. This finding is particularly intriguing in case of D.ananassae as it is frequently transported via human traffic. Given limited gene flow, populations are expected to divergegenetically due to drift. Low level of gene flow coupled with high degree of genetic differentiation might have occurredhistorically and is maintained currently. Demographic properties, historical and contemporary events and other factors aremore important in shaping the patterns of population sub-structuring, genetic differentiation and gene flow than mereterrestrial habitat characteristics (un) favorable for migration.

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.

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 score0.424
Threshold uncertainty score0.321

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 head0.056
GPT teacher head0.326
Teacher spread0.270 · 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