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Record W4417289038 · doi:10.1111/syen.70018

Phylogenomics and the evolution of larval feeding habits in the blow flies (Diptera: Calliphoridae)

2025· article· en· W4417289038 on OpenAlexaff
Cristian Beza-Beza, John Soghigian, E. M. Bailey, Nikolas P. Johnston, Brian K. Cassel, Keith M. Bayless, Jeffrey D. Wells, David K. Yeates, James F. Wallman, Liping Yan, Arianna Thomas‐Cabianca, Paul V. Hickner, Andrzej Grzywacz, Kelly A. Meiklejohn, Tatiana Teixeira Torres, Maxwell J. Scott, Aram Mikaelyan, Dong Zhang, Pierfilippo Cerretti, Krzysztof Szpila, Thomas Pape, Brian M. Wiegmann

Bibliographic record

VenueSystematic Entomology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsUniversity of Calgary
FundersNarodowym Centrum NaukiNarodowe Centrum NaukiNational Science Foundation
KeywordsPhylogenomicsVertebrateTrophic levelParasitismLarvaRange (aeronautics)Phylogenetic treePhylogenetics

Abstract

fetched live from OpenAlex

Abstract Blow flies (Diptera: Calliphoridae) occur worldwide and exhibit a wide range of larval feeding habits, including saprophagy, coprophagy, parasitism and predation. Understanding their biology is critical for medical and veterinary science and ecology. Calliphorids thrive across a range of habitats and exhibit complex life histories, with larvae developing immersed in their food substrate, while adults are free‐living and have diverse feeding strategies. Some species have evolved specialized parasitic associations with vertebrate or invertebrate hosts, which are behaviors with important implications for agriculture and for understanding evolutionary transitions between saprophagy and parasitism. This study presents a comprehensive phylogenetic analysis of the Calliphoridae, utilizing 711 of 736 analysed nuclear genes, using anchored hybrid enrichment, from a global collection of blow flies and their relatives. Our results provide a robust and novel reconstruction of the evolutionary history of this group, pinpointing major transitions in larval feeding habits. We argue that saprophagy evolved independently multiple times from invertebrate parasitic ancestors, with vertebrate parasitism emerging from a number of different feeding strategies. These findings challenge prior hypotheses and offer new insights into the adaptive traits driving trophic specialization and diversification in this group.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.699
Threshold uncertainty score0.172

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.009
GPT teacher head0.219
Teacher spread0.210 · 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 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
Published2025
Admission routes1
Has abstractyes

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