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Record W1777470419 · doi:10.1038/ncomms8344

Lucilia cuprina genome unlocks parasitic fly biology to underpin future interventions

2015· article· en· W1777470419 on OpenAlexfundno aff
Clare A. Anstead, Pasi K. Korhonen, Neil D. Young, Ross S. Hall, Aaron R. Jex, Shwetha C. Murali, Daniel Hughes, Siu Fai Lee, Trent Perry, Andreas J. Stroehlein, Brendan R. E. Ansell, Bert Breugelmans, Andreas Hofmann, Jiaxin Qu, Shannon Dugan, Sandra L. Lee, Hsu Chao, Huyen Dinh, Yi Han, HarshaVardhan Doddapaneni, Kim C. Worley, Donna M. Muzny, Panagiotis Ioannidis, Robert M. Waterhouse, Evgeny M. Zdobnov, Peter James, Neil H. Bagnall, Andrew C. Kotze, Richard A. Gibbs, Stephen Richards, Philip Batterham, Robin B. Gasser

Bibliographic record

VenueNature Communications · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicForensic Entomology and Diptera Studies
Canadian institutionsnot available
FundersAustralian Research CouncilMelbourne WaterNational Health and Medical Research CouncilNatural Sciences and Engineering Research Council of CanadaState Government of VictoriaAustralian Wool InnovationNational Human Genome Research InstituteUniversity of MelbourneSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsLucilia cuprinaBiologyGenomeMyiasisHost (biology)Whole genome sequencingGeneticsLuciliaGenome projectCalliphoridaeGeneZoologyEvolutionary biologyComputational biologyLarvaEcology

Abstract

fetched live from OpenAlex

Lucilia cuprina is a parasitic fly of major economic importance worldwide. Larvae of this fly invade their animal host, feed on tissues and excretions and progressively cause severe skin disease (myiasis). Here we report the sequence and annotation of the 458-megabase draft genome of Lucilia cuprina. Analyses of this genome and the 14,544 predicted protein-encoding genes provide unique insights into the fly's molecular biology, interactions with the host animal and insecticide resistance. These insights have broad implications for designing new methods for the prevention and control of myiasis.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.071
GPT teacher head0.344
Teacher spread0.272 · 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 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

Citations112
Published2015
Admission routes1
Has abstractyes

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Same venueNature CommunicationsSame topicForensic Entomology and Diptera StudiesFrench-language works237,207