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Record W2026079816 · doi:10.1080/07060660009500474

Evidence of gene flow between pea and bean pathotypes of<i>Aphanomyces euteiches</i>.

2000· article· en· W2026079816 on OpenAlexvenueno aff
Hushan Shang, C. R. Grau, R. D. Peters

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyOutcrossingRAPDHybridPopulationHomothallismPloidyHyphaGeneticsBotanyGenetic diversityGeneMating type

Abstract

fetched live from OpenAlex

Abstract Aphanomyces euteiches is a phenotypically diverse pathogen, but the origins of this diversity are not known. To determine if cross-fertilization occurred between pea and bean pathotypes of A. euteiches, a technique to outcross isolates of A. euteiches was developed. Random amplified polymorphic DNA (RAPD) markers and several phenotypic traits were used to identify F, hybrids. Following 16 matings among isolates of different pathotypes, 4 of 82 germinated oospore isolates were inter-pathotype F, hybrids. Two of the four hybrids were infertile, but two were fertile and used to analyze the inheritance of virulence phenotype, host specificity (pathotype), hyphal growth rate, size of the aplerotic zone, and RAPD markers. As compared with parental pea and bean pathotype isolates, F, hybrids exhibited a pea pathotype and intermediate phenotypes in hyphal growth rate and size of the aplerotic zone. Subsequent self-fertilization of F1 hybrids yielded an F2 population that demonstrated segregation of virulence phenotypes, host specificity, hyphal growth rate, and RAPD markers. The results suggest that this diploid homothallic oomycete is capable of outcrossing and that sexual reproduction may play an important role in the generation of phenotypic variation. Keywords: Aphanomyces euteiches oosporesvirulencehost specificityaplerotic zonesexual reproduction

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.774

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 head0.025
GPT teacher head0.197
Teacher spread0.172 · 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

Citations7
Published2000
Admission routes1
Has abstractyes

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