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Record W2568256646 · doi:10.1371/journal.pone.0168715

Effective Characterisation of the Complete Orang-Utan Mitochondrial DNA Control Region, in the Face of Persistent Focus in Many Taxa on Shorter Hypervariable Regions

2016· article· en· W2568256646 on OpenAlexaff
Graham L. Banes, Biruté M. F. Galdikas

Bibliographic record

VenuePLoS ONE · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIdentification and Quantification in Food
Canadian institutionsSimon Fraser University
FundersChester ZooNational Natural Science Foundation of ChinaMax-Planck-GesellschaftUniversity of AberdeenChinese Academy of SciencesNorth of England Zoological SocietyDeutscher Akademischer AustauschdienstRoyal Geographical SocietyLeverhulme TrustPrimate Society of Great BritainRoyal Scottish Geographical SocietyArcus FoundationGilchrist Educational Trust
KeywordsHypervariable regionBiologyMitochondrial DNAHaplotypeEvolutionary biologyGeneticsPhylogenetic treeClademtDNA control regionAmpliconPhylogeneticsLineage (genetic)Polymerase chain reactionGenotypeGene

Abstract

fetched live from OpenAlex

The hypervariable region I (HVRI) is persistently used to discern haplotypes, to distinguish geographic subpopulations, and to infer taxonomy in a range of organisms. Numerous studies have highlighted greater heterogeneity elsewhere in the mitochondrial DNA control region, however-particularly, in some species, in other understudied hypervariable regions. To assess the abundance and utility of such potential variations in orang-utans, we characterised 36 complete control-region haplotypes, of which 13 were of Sumatran and 23 of Bornean maternal ancestry, and compared polymorphisms within these and within shorter HVRI segments predominantly analysed in prior phylogenetic studies of Sumatran (~385 bp) and Bornean (~323 bp) orang-utans. We amplified the complete control region in a single PCR that proved successful even with highly degraded, non-invasive samples. By using species-specific primers to produce a single large amplicon (~1600 bp) comprising flanking coding regions, our method also serves to better avoid amplification of nuclear mitochondrial insertions (numts). We found the number, length and position of hypervariable regions is inconsistent between orang-utan species, and that prior definitions of the HVRI were haphazard. Polymorphisms occurring outside the predominantly analysed segments were phylogeographically informative in isolation, and could be used to assign haplotypes to comparable clades concordant with geographic subpopulations. The predominantly analysed segments could discern only up to 76% of all haplotypes, highlighting the forensic utility of complete control-region sequences. In the face of declining sequencing costs and our proven application to poor-quality DNA extracts, we see no reason to ever amplify only specific 'hypervariable regions' in any taxa, particularly as their lengths and positions are inconsistent and cannot be reliably defined-yet this strategy predominates widely. Given their greater utility and consistency, we instead advocate analysis of complete control-region sequences in future studies, where any shorter segment might otherwise have proven the region of choice.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.190

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 head0.038
GPT teacher head0.222
Teacher spread0.184 · 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

Citations5
Published2016
Admission routes1
Has abstractyes

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Same venuePLoS ONESame topicIdentification and Quantification in FoodFrench-language works237,207