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Record W4411938799 · doi:10.1071/is24101

The phylogeny and systematics of the Costellariidae (Caenogastropoda: Turbinelloidea) revisited

2025· article· en· W4411938799 on OpenAlexaff
Alexander Fedosov, Philippe Bouchet, Aart Dekkers, Sandro Gori, Shih-I Huang, Yuri Kantor, Thomas Lemarcis, Maxwell Marrow, Claudia Ratti, Gary A. Rosenberg, Richard Anthony Salisbury, Sofia S. Zvonareva, Nicolas Puillandre

Bibliographic record

VenueInvertebrate Systematics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAquatic Invertebrate Ecology and Behavior
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSystematicsCaenogastropodaSystematic EntomologyPhyloCodePhylogeneticsZoologyTaxonomy (biology)Evolutionary biologyCladisticsBiologyMolluscaGenetics

Abstract

fetched live from OpenAlex

The marine neogastropod family Costellariidae constitutes a large radiation encompassing 647 living species, widely distributed in tropical seas, with their highest diversity in the Central Indo-Pacific. The systematics of the family has undergone profound changes in the mid-2010s, when relationships within Costellariidae were critically revised based on molecular (multilocus) data from 80 species. Whereas four new genera were described, and two more transferred to Costellariidae from Ptychatractidae, relationships of some key lineages could not be resolved due to the incomplete taxonomic and geographic coverage. In the present study we combine an analysis of an extensive DNA-barcoding dataset with phylogenomics to propose a robust new phylogenetic hypothesis and revise the genus-level systematics of the family. Species delimitation was performed for a Cox1 dataset of 1475 specimens, which revealed 221 secondary species hypotheses (SSHs). The phylogeny was reconstructed from a 1003 loci dataset for 70 species representing all but two of the revealed major costellariid lineages. Maximum likelihood (ML) and Bayesian inference (BI) arrived at nearly identical topologies with full support for all backbone nodes but one, providing a robust framework for a new classification. We treat Turricostellaria as a synonym of Tosapusia. Further, based on a re-evaluation of the identity of the type species of Pusia , we conclude that the name should be applied to a Caribbean lineage, previously treated as a part of Vexillum . Consequently, the Indo-Pacific species of Pusia (Pusia ) are here reassigned to a new genus Eupusia , and two other subgenera, Ebenomitra and Vexillena , are raised to full genera. Eight further new genera are described based on phylogenomics: Bathythala , Canaripusia and Caribbonus from the Caribbean in deep water, Pilgrivexillum , Pacifilux , Ponderiola and Cernohorskyola from the Central and southern Indo-Pacific, and Kilburniola from the south-western Indian Ocean. From a total of 25 SSHs corresponding to undescribed species, 23 are described herein in the genera Austromitra (1), Bathythala (1), Canaripusia (1), Caribbonus (3), Costapex (4), Eupusia (1), Kilburniola (1), Pilgrivexillum (1), Pusia (2), Thala (1), Tosapusia (1) and Vexillum (6). ZooBank: urn:lsid:zoobank.org:pub:0791EF1F-7F77-4F02-A447-40798388C7FE.

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)0.000
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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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