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Record W2773534178 · doi:10.1016/j.gecco.2017.11.005

Identifying spatially concordant evolutionary significant units across multiple species through DNA barcodes: Application to the conservation genetics of the freshwater fishes of Java and Bali

2017· article· en· W2773534178 on OpenAlex
Aditya Hutama, Hadi Dahruddin, F. Busson, Sopian Sauri, Philippe Keith, Renny K. Hadiaty, Robert Hanner, Bambang Suryobroto, Nicolas Hubert

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGlobal Ecology and Conservation · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsUniversity of GuelphAlberta Biodiversity Monitoring Institute
FundersMuséum National d'Histoire NaturelleDépartement Soutien et Formation, Institut de Recherche pour le DéveloppementScience Foundation IrelandGovernment of CanadaLembaga Ilmu Pengetahuan IndonesiaGenome CanadaOntario GenomicsUniversity of GuelphOntario Genomics Institute
KeywordsBiologyDNA barcodingCoalescent theoryAllopatric speciationGenetic diversityPopulationEvolutionary biologyConservation geneticsEcologySpecies complexGenetic structureConservation statusEffective population sizeGenetic variationPhylogenetic treeMicrosatelliteGeneticsHabitatGene

Abstract

fetched live from OpenAlex

Delineating Evolutionary Significant Units for conservation purposes is a crucial step in conservation. Across a distribution range, species frequently display population structure that drives the distribution of genetic diversity. These patterns of genetic structure and diversity result from intricate interactions between biogeographic history and demographic dynamics. Prior biogeographic knowledge, however, is scarcely available, a trend particularly pronounced in the tropics where the taxonomic impediment is hampering biogeographic studies and conservation efforts. DNA barcoding has been initially proposed to foster taxonomic studies through the development of an automated molecular system of species identification. While its utility for species identification is increasingly acknowledged, its usefulness for fast and large-scale delineation of ESU remains to be explored. If proved to be useful for that purpose, DNA barcoding may also open new perspectives in conservation by quickly providing preliminary information about population conservation status. The present study aims at assessing the utility of DNA barcoding for the delineation of ESUs among the most common freshwater fish species of Java and Bali through the comparison of population genetic structures and diversification patterns across multiple species. Substantial levels of cryptic diversity are discovered among the three widely distributed freshwater fish species analyzed with a total of 21 evolutionary independent mitochondrial lineages (BINs) observed in Barbodes binotatus, Channa gachua and Glyptothorax platypogon. The maximum genetic distance for each coalescent tree ranges from 6.78 to 7.76 K2P genetic distances for C. gachua and G. platypogon, respectively. Diversification and population genetic analyses support a scenario of allopatric differentiation. The analysis of the BINs spatial distribution indicates concordant distribution patterns among the three species that allow identifying 18 ESUs. Implications for the conservation genetics of these species are discussed at the light of the history of the region.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.455

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 studies0.0010.001
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 head0.036
GPT teacher head0.288
Teacher spread0.252 · 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