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Record W2190526372 · doi:10.1890/es15-00304.1

Experimental assessment of gene flow between transgenic squash and a wild relative in the center of origin of cucurbits

2015· article· en· W2190526372 on OpenAlexaff
Rogelio Cruz-Reyes, Germán Ávila‐Sakar, Gumersindo Sánchez‐Montoya, Maurício Quesada

Bibliographic record

VenueEcosphere · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsBiologyBackcrossingHybridIntrogressionTransgeneGeneticsCucurbita pepoZucchini yellow mosaic virusGene flowCucurbitaBiosafetyBotanyGenePlant virusBiotechnologyVirusGenetic variationPotyvirus

Abstract

fetched live from OpenAlex

The introgression of modified genetic sequences (transgenes) into wild populations hinges on the generation of viable and fertile hybrids from crosses between transgenic cultivars and their wild relatives. We assessed the risk of escape of a gene construct that confers resistance to three viruses (ZYMV, WMV, CMV) from a transgenic zucchini ( Cucurbita pepo ) to Cucurbita argyrosperma ssp. sororia , a wild relative at the center of origin of the genus in Mexico. We experimentally generated first and second generation hybrids, as well as backcross progeny (BC), and evaluated their performance. The virus‐resistance transgene was successfully inherited into both hybrid generations and also to BC progeny from the crosses of hybrids with the wild relative. The transgene generally followed Mendelian inheritance as a dominant trait. Both hybrid generations and the BC progeny had lower reproductive output compared to the wild parent. Given that the hybrid and BC progeny were viable and fertile, the escape and persistence of the transgene is possible via wild populations of C. argyrosperma ssp. sororia . This information is essential for biosafety policy in Mexico—center of origin and diversification of several crops—where the liberation of genetically modified plants is currently under approval, and risk assessment is necessary.

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 score0.056
Threshold uncertainty score0.229

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 science0.0000.000
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 head0.018
GPT teacher head0.330
Teacher spread0.312 · 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

Citations21
Published2015
Admission routes1
Has abstractyes

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