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Record W2792185785 · doi:10.22215/etd/2017-12049

Using RNA-Seq to identify oospore wall-specific Carbohydrate-Active Enzyme (CAZyme) coding genes of Pythium ultimum var. ultimum, an oomycete plant pathogen

2017· dissertation· en· W2792185785 on OpenAlexaff
Emily Giroux

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsCarleton University
Fundersnot available
KeywordsOosporePythium ultimumOomyceteBiologyBotanyMicrobiologyPathogenRhizoctonia solani

Abstract

fetched live from OpenAlex

Oospores are propagules resulting from oomycete sexual recombination and act as long-term survival structures. In Pythium ultimum, and many other oomycete species, the glucan-rich walls of dormant oospores can account for 50% of the total volume of the oospore. Oospore walls can be digested quickly and used as a food source to propel oospores towards a germinable state. Whether digestion occurs by enzymes resulting from genes transcribed at this stage, or prepackaged transcripts/proenzymes released upon wall rehydration is currently unknown. Since oospore walls are composed predominantly of β-glucans, enzymatic digestion by glucanases may represent the earliest stage-specific molecular development ocurring at this point in its life cycle. We used RNA-Seq to investigate the oospore conversion process and to identify genes encoding oospore wall-specific enzyme products. Some enzymes were expressed solely during oospore conversion, and among those, some are only present in Pythium species when compared to other oomycetes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.058
GPT teacher head0.294
Teacher spread0.236 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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