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Record W2920312341 · doi:10.22215/etd/2018-12631

Transcriptome analysis of programmed cell death associated with allorecognition in chestnut blight fungus Cryphonectria parasitica

2018· dissertation· en· W2920312341 on OpenAlexafffund
Anatoly Belov

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyLocus (genetics)GeneChestnut blightCryphonectriaMating typeGeneticsTranscriptomeGene familyFungusGene expressionBotany

Abstract

fetched live from OpenAlex

In this thesis, I analysed transcriptional profiles of the chestnut blight fungus, Cryphonectria parasitica, during vegetative incompatibility (allorecognition) reactions due to differences at the vic3 locus.Out of a total 13944 identified expressed transcripts, including 2334 novel ones, only 1411 were differentially expressed during vic3 incompatibility reaction.Functional enrichment analysis showed increased expression of genes involved in detoxification and stress response (e.g.s Cytochrome p450, Glutathione S-transferase), and toxin biosynthesis.Surprisingly, even though the test strains were both the same mating type (MAT-2), genes involved in sexual reproduction (mf2-1, mf2-2 and mat-2) showed the most dramatic increase in expression during allorecognition response.Further qPCR analysis showed that activation of mating pheromone genes occurs during incompatible reactions involving five of the six known vic incompatibility loci.The only exception was vic4, which elicits a weak incompatibility and showed almost no change in pheromone gene expression.Analysis suggests that mf2-1, mf2-2 and mat-2 expression is triggered by activation of asexual sporulation.Genes encoded at the vic3 locus, vic3a and vic3b, were upregulated in barraging samples along with seven HET-domain genes located at other regions of the genome.Among the seven HET genes activated, one is located at the vic1 locus and previously implicated in vic1 incompatibility.Activation of these same HET domain genes also occurred in other vic incompatible pairings.For example, upregulation of dev3a and vic1a genes occurred during incompatibility reactions associated with each of the six known vic loci.This suggests that some HET genes serve as universal allorecognition factors.Furthermore, this data indicates that each incompatibility locus uses a set of several HET genes to iii activate Programmed Cell Death (PCD).In addition, I analysed the effects on barrage formation of p29, a protein-coding region from Cryphonectria hypovirus 1 (CHV1).Expression of p29 in C. parasitica was previously shown to delay the onset of vic3associated PCD.Results of the analysis indicated that ectopically expressed p29 does not have a strong modifying effect on gene expression in barraging strains.This study illustrates that nonself recognition is an active defence mechanism, where stress response and detoxification are combined with mycotoxins production.last 6 years couldn't have happened.You taught me how to do research and showed me what it means to be a good person.For six years working in Myron's team I was surrounded by wonderful colleagues.

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: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.299
Teacher spread0.281 · 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
GenreOther

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".

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Citations1
Published2018
Admission routes2
Has abstractyes

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