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Record W4417297640 · doi:10.1038/s41598-025-31853-x

Horizontal gene transfer of the Pytheas sequence from Cuscuta to Orobanche via a host-mediated pathway

2025· article· en· W4417297640 on OpenAlexafffund
Magdalena Denysenko-Bennett, Dagmara Kwolek, Grzegorz Góralski, Marek Szklarczyk, Renata Piwowarczyk, Saša Stefanović, Adam C. Schneider, Andrzej Joachimiak

Bibliographic record

VenueScientific Reports · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHorizontal gene transferCuscutaParasitic plantTransposable elementOrobancheGeneGene flowHost (biology)Gene transfer

Abstract

fetched live from OpenAlex

Horizontal Gene Transfer (HGT) is a phenomenon of DNA transfer between organisms that does not involve a parent-offspring relationship. HGT is believed to play an important role in all groups of organisms, including plants, and especially in parasites. Here we describe a chain of transfers from Cuscuta (Convolvulaceae) to Orobanche rigens (Orobanchaceae)-both parasitic plants-via a host belonging to tribe Genisteae (Fabaceae). During its "journey" between genomes, the transferred sequence, which we named Pytheas, was altered by deletions, additions of new segments from the current genome, substitutions, and rearrangements. This is the first robustly documented case of a multi-step transfer pathway-involving one IGT and two HGTs-connecting three plant species. Specifically, this system involves a host plant mediated gene flow between two distinct parasites without involvement of transposable elements, the cox1 intron, or other vectors. This case also demonstrates how host-parasite interactions can facilitate the spread of genetic material between evolutionarily distant lineages.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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