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Record W4387075467 · doi:10.5852/ejt.2023.892.2283

Bumblebees with big teeth: revising the subgenus Alpigenobombus with the good, the bad and the ugly of numts (Hymenoptera: Apidae)

2023· article· en· W4387075467 on OpenAlexfundno aff
Paul H. Williams, Jiandong An, Phurpa Dorji, Jiaxing Huang, Saleem Jaffar, George Japoshvılı, Jaya Narah, Zong‐Xin Ren, Martin Streinzer, Chawatat Thanoosing, Li Tian, Michael C. Orr

Bibliographic record

VenueEuropean Journal of Taxonomy · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsnot available
FundersNational Centre for Biological SciencesTerry Fox Research InstituteChinese Academy of Sciences
KeywordsSubgenusCoalescent theoryBumblebeeBiologyHymenopteraEvolutionary biologyTaxonDivergence (linguistics)Genetic divergenceApidaeZoologyPhylogenetic treeTaxonomy (biology)EcologyGenePollinationGeneticsGenetic diversityPollenPollinatorDemographyPopulation

Abstract

fetched live from OpenAlex

The mountain bumblebees of the subgenus Alpigenobombus Skorikov, 1914, are uniquely distinctive because the females have enlarged mandibles with six large, evenly spaced teeth, which they use to bite holes in long-corolla flowers for nectar robbing. Recognition of species in this subgenus has been uncertain, with names used in various combinations. To revise the species, we examined COI-like barcodes for evidence of species’ gene coalescents using MrBayes and PTP and we compare the coalescent groups with morphological variation for integrative assessment. While we seek to include only orthologous barcodes (the ‘good’) and exclude all of the more strongly divergent barcode-like numts (the ‘bad’), for some nominal taxa only low-divergence numts could be obtained (the ‘ugly’). For taxa with no orthologous sequences available, using a minimum number of the lowest divergence numts did yield coalescent candidates for species that were consistent with morphologically diagnosable groups. These results agree in recognising 11 species within this subgenus, supporting: (1) recognising the widespread European Bombus mastrucatus Gerstaecker, 1869 stat. rev. as a species separate from the west Asian B. wurflenii Radoszkowski, 1860 s. str.; (2) the recently recognised B. rainai Williams, 2022, as a species separate from B. kashmirensis Friese, 1909, within the western Himalaya; (3) the recognition once again of B. sikkimi Friese, 1918 stat. rev. and B. validus Friese, 1905 stat. rev. as species separate from B. nobilis Friese, 1905 s. str. within the eastern Himalaya and Hengduan regions; (4) confirming the recognition of B. angustus Chiu, 1948, B. breviceps Smith, 1852 s. lat., B. genalis Friese, 1918, and B. grahami (Frison, 1933) as separate species within the Himalaya, China, and Southeast Asia; (5) recognising the conspecificity of the nominal taxa (not species) channicus Gribodo, 1892 (Southeast Asia) and dentatus Handlirsch, 1888 (Himalaya) as parts of the species B. breviceps s. lat. (southern and eastern China); and (6) recognising the conspecificity of the rare taxon beresovskii (Skorikov, 1933) syn. n. as part of the species B. grahami within China. Nectar robbing by bumblebees is reviewed briefly and prospects for future research discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.183
Teacher spread0.134 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations10
Published2023
Admission routes1
Has abstractyes

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