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Record W2947439153 · doi:10.1674/0003-0031-181.2.271

Conservation Genetics of the Endangered Yellow Lampmussel (Lampsilis cariosa)

2019· article· en· W2947439153 on OpenAlexaboutno aff
Archana R. Menon, Meaghan N. Ly, Ariel Long, Yesenia Werner, Curt L. Elderkin

Bibliographic record

VenueThe American Midland Naturalist · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsnot available
Fundersnot available
KeywordsEndangered speciesGenetic diversityBiologyEcologyConservation geneticsPopulationNucleotide diversityPopulation geneticsMicrosatelliteHaplotypeGeneticsDemographyAlleleGene

Abstract

fetched live from OpenAlex

Determining the genetic diversity of unionid populations is important for the preservation of the species and ecosystems in which they reside. The Yellow lampmussel, Lampsilis cariosa, is an endangered unionid found along the Atlantic Slope drainages in the United States and Canada. Along with many other North American unionid species, L. cariosa populations are declining. In order to enhance conservation efforts, the genetic structure and diversity of current populations must be examined. A sample of 178 individuals of L. cariosa from 20 populations in the Susquehanna and Delaware River drainages, and two different river populations in Maine were genotyped at the mitochondrial cytochrome oxidase subunit one (COI) gene and seven microsatellite loci. Haplotype genetic diversity for L. cariosa was low, while nucleotide diversity was high. Analysis of mtDNA showed significant population structure but lower than that of other mussel species. Our results indicate past gene flow among populations found in the Susquehanna and Delaware drainages with recent demographic expansion. As an endangered species with currently small population sizes, conservation efforts for L. cariosa should focus on protecting genetic diversity by preserving the largest populations in different drainages.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.999

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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.

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

Citations3
Published2019
Admission routes1
Has abstractyes

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