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Record W2072827435 · doi:10.1080/07060660009500491

Variation in virulence, host specificity, hyphal growth rate, and size of the aplerotic zone in successive single-zoospore and single-oospore progenies of <i>Aphanomyces euteiches</i>

2000· article· en· W2072827435 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
KeywordsZoosporeBiologyOosporeVirulenceHyphaSporeSexual reproductionHost (biology)OutcrossingBotanyMicrobiologyGeneticsGene

Abstract

fetched live from OpenAlex

Variation in virulence, host specificity, hyphal growth rate, and size of the aplerotic zone were studied in Aphanomyces euteiches using successive single-zoospore progeny (asexual reproduction) and single-oospore progeny from selling (sexual reproduction). No variation in virulence or host specificity to pea or bean was found in generations of single-zoospore or single-oospore isolates derived from four field isolates. In each isolate, hyphal growth rate and size of the aplerotic zone were relatively stable traits among six generations of single-spore progeny; the phenotypes of progeny remained similar to parental phenotypes. The traits were found to be the same within, but different between, two pea and two bean pathotype isolates. Stable randomly amplified polymorphic DNA (RAPD) markers associated with different isolates were selected in successive generations of zoospore and selfed oospore progeny and could be used to distinguish the four isolates. Results suggest that the genes involved in determining the studied traits are homozygous in the isolates used and that new forms of the pathogen differing from parental strains cannot be obtained by the generation of successive zoospore or selfed oospore populations. Therefore, other than variability generated by mutation, major variability in A. euteiches most likely originates by outcrossing.

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 score0.764
Threshold uncertainty score0.905

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 head0.010
GPT teacher head0.160
Teacher spread0.151 · 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

Citations3
Published2000
Admission routes1
Has abstractyes

Explore more

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