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Development of polymorphic microsatellite markers for the livebearing fish <i>Poecilia parae</i>

2008· article· en· W2047621483 on OpenAlexfundno aff
Alexander Nater, Michael Krützen, Anna K. Lindholm

Bibliographic record

VenueMolecular Ecology Resources · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic diversity and population structure
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaSimon Fraser UniversityUniversity of New South Wales
KeywordsPoeciliaBiologyGuppyMicrosatelliteGeneticsAllelePolymorphism (computer science)Evolutionary biologyFish <Actinopterygii>GeneFishery

Abstract

fetched live from OpenAlex

We developed 16 novel polymorphic tetranucleotide microsatellite markers for Poecilia parae, a livebearing fish used in evolutionary studies because of its Y-linked colour and size polymorphism. A set of 199 clones was sequenced out of an enriched genomic library, and we achieved an enrichment efficiency of nearly 80%. Primers were designed for 16 pure repeats, and 59 P. parae were screened for polymorphism. Cross-amplification was tested on Poecilia picta and Poecilia reticulata, the guppy. The new microsatellite markers showed an exceptionally high allelic diversity and low stutter formation, proving their suitability for a broad range of applications in these species.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.525
Threshold uncertainty score0.445

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 head0.014
GPT teacher head0.213
Teacher spread0.199 · 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 designBench or experimental
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

Citations9
Published2008
Admission routes1
Has abstractyes

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