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Record W4411180708 · doi:10.3897/imafungus.16.156195

Characterisation of the genome and secretome of Phytophthora cryptogea and P. erythroseptica

2025· article· en· W4411180708 on OpenAlexafffund
Yuuri Hirooka, Oscar Villanueva, Екатерина Пономарева, Bennett L. Crane, R. D. Peters, Walid Ellouze, Hai D. T. Nguyen

Bibliographic record

VenueIMA Fungus · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsBrock UniversityAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food CanadaHosei University
KeywordsBiologyPhytophthoraPhytophthora sojaeGenomeCladeGeneBotanyGeneticsPhylogenetics

Abstract

fetched live from OpenAlex

Phytophthora cryptogea Pethybr. & Laff. and P. erythroseptica Pethybr. are oomycetes that cause root rot diseases of multiple plant species, including serious diseases of potato. These two species of Phytophthora were originally reported in Ireland more than 100 years ago and are closely related phylogenetically and morphologically similar. Both species have wide host ranges and can hybridise with each other. In this study, we sequenced whole genomes of the ex-type strain of P. cryptogea (CBS 113.19) and the authentic strain of P. erythroseptica (P6180). The genomes of the two isolates were assembled into 52.5 Mb and 74.7 Mb, respectively. A total of 11,654 protein-encoding genes were predicted for P. cryptogea and 15,970 for P. erythroseptica . Phylogenomic analyses of 2012 single-copy orthologous genes and 99 BUSCO genes from the stramenopiles dataset confirmed that they are sister species and show that they belong to Phytophthora clade 8. The secretome analysis of P. erythroseptica P6180, P. cryptogea CBS 418.71 and P. cryptogea CBS 113.19 may provide information for future research on resistance-breeding targets and strategies for pathogen control. This genomic characterisation of the two Phytophthora species provides additional reference data that might be useful for future studies on Phytophthora genetic variation, pathogenicity and biological traits.

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 score0.967
Threshold uncertainty score0.057

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 head0.005
GPT teacher head0.187
Teacher spread0.181 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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