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Record W6949367572 · doi:10.5281/zenodo.14502990

Conservation Genetics and Genomics of the Narrowly Endemic Island Marble Butterfly: Additional Data

2024· dataset· en· W6949367572 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typedataset
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationConservation geneticsEndangered speciesInbreedingGenomicsWildlifeGenetic diversityMicrosatelliteEffective population sizePopulation genetics

Abstract

fetched live from OpenAlex

This repository is intended to accompany the final report to the US Fish and Wildlife Service, entitled: Conservation Genetics and Genomics of the Narrowly Endemic Island Marble Butterfly The purpose of this study was to collect and analyze non-invasive DNA specimens from the endangered island marble butterfly (Euchloe ausonides insulanus) to assess population structure, identify adaptive potential, facilitate captive propagation, and support translocation planning. We used DNA extracted from meconium, exuviae, and natural mortalities to generate and test thirteen new microsatellite markers for use in population structure and kinship analyses. We also used DNA from natural mortalities to determine whether non-invasively collected samples could be used to generate enough single nucleotide polymorphisms (SNPs) to perform fine-scale genomic analyses. Whole mitochondrial genomes were assembled, annotated, and used to infer a phylogeny with museum specimens of insulanus collected ~100 years ago from Vancouver Island and other members of the E. ausonides species complex. The results indicated that insulanus suffers from low heterozygosity, a small effective population size (Ne), and low allelic diversity. There was evidence of high levels of inbreeding in some individuals, but inbreeding was uneven across the population. There was no population structure or partitioning by host plant detected. The mitogenomes of extant insulanus were all identical and there was a loss of allelic diversity in modern samples compared to insulanus from museums. Extant insulanus formed a clade with museum specimens and we identified multiple putatively diagnostic alleles to differentiate insulanus from other subspecies. Based on these results, we outline considerations for species management decisions and genetic monitoring. Included in this repository are: Sample metadata for all samples used, including which analysis they were used in (microsatellite, mitogenome, and/or ddRAD), and the BioSample and SRA accessions for sequenced samples desposited with NCBI GenBank under BioProject PRJNA1156227 (IMB_metadata.csv) The VCF file of SNPs produced from ddRAD NovaSeq sequencing (novaseq_IMB_20_depth_Q30_50_missing.vcf) The microsatellite loci used for population genetic analyses (IMB_microsatellite_loci.csv)

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.002

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 head0.051
GPT teacher head0.268
Teacher spread0.218 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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