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Record W4408462492 · doi:10.1186/s12864-025-11449-5

Single specimen genome assembly of Culicoides stellifer shows evidence of a non-retroviral endogenous viral element

2025· article· en· W4408462492 on OpenAlexafffund
Jessica Castellanos‐Labarcena, Yoamel Milián‐García, Tyler A. Elliott, Dirk Steinke, Robert Hanner, Sarah J. Adamowicz

Bibliographic record

VenueBMC Genomics · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicVector-Borne Animal Diseases
Canadian institutionsUniversity of Guelph
FundersMitacs
KeywordsBiologyGenomeVector (molecular biology)Computational biologyGeneticsSequence assemblyCulicoidesEvolutionary biologyGeneZoologyRecombinant DNA

Abstract

fetched live from OpenAlex

BACKGROUND: Advancing our knowledge of vector species genomes is a key step in our battle against the spread of diseases. Biting midges of the genus Culicoides are vectors of arboviruses that significantly affect livestock worldwide. Culicoides stellifer is a suspected vector with a wide range distribution in North America, for which cryptic diversity has been described. RESULTS: With just one specimen of C. stellifer, we assembled and annotated the nuclear and mitochondrial genome using the ultra-low input DNA PacBio protocol. The genome assembly is 119 Mb in length with a contig N50 value of 479.3 kb, contains 11% repeat sequences and 18,895 annotated protein-coding genes. To further elucidate the role of this species as a vector, we provide genomic evidence of a non-retroviral endogenous viral element integrated into the genome that corresponds to rhabdovirus nucleocapsid proteins, the same family as the vesicular stomatitis virus. CONCLUSIONS: This genomic information will pave the way for future investigations into this species's putative vector role. We also demonstrate the practicability of completing genomic studies in small dipterans using single specimens preserved in ethanol as well as introduce a workflow for data analysis that considers the challenges of insect genome assembly.

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 score0.401
Threshold uncertainty score0.387

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 science0.0010.000
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 head0.062
GPT teacher head0.258
Teacher spread0.195 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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