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Record W4414345368 · doi:10.1094/phytofr-09-25-0096-a

Draft Genome Sequence of <i>Phytophthora abietivora</i> , a Root Rot Pathogen of True Firs in Managed Plantations

2025· article· en· W4414345368 on OpenAlex
Nicolas Feau, Isabella Laughton, Guillaume Charron, Philippe Tanguay

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePhytoFrontiers™ · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsCanadian Sport Centre PacificNatural Resources CanadaCanadian Forest Service
FundersCanadian Forest Service
KeywordsGenomeNanopore sequencingSequence assemblyWhole genome sequencingPathogenicityPathogenReference genomeRoot rot

Abstract

fetched live from OpenAlex

Phytophthora abietivora is a recently described root rot pathogen of true firs ( Abies spp.) and a major contributor to fir plantation decline in eastern North America. We present a 62.17-Mbp draft genome assembly of P. abietivora generated using Oxford Nanopore and Illumina sequencing technologies. The assembly comprises 2,917 scaffolds with an N50 of 43.8 kb, 99.7% completeness, and 15,906 predicted protein-coding genes, including 1,210 secreted proteins. Single-nucleotide polymorphism analysis revealed extended runs of homozygosity and allele frequency shifts, suggesting dynamic extreme aneuploidy. This reference genome will serve as a critical resource for exploring the evolution and pathogenicity of P. abietivora and developing control strategies. [Formula: see text] Copyright © 2026 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .

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.

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 score0.947
Threshold uncertainty score0.263

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.220
Teacher spread0.208 · 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