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Record W7011400328

Molecular characterization of potato defense suppression by Phytophthora infestans

2011· dissertation· en· W7011400328 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2011
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogens and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsLafora diseaseNucleofectionSuppression subtractive hybridizationIdentification (biology)
DOInot available

Abstract

fetched live from OpenAlex

Manitoba is the second largest potato producer in Canada after Prince Edward Island. This crop faces many disease problems including the most famous and devastating one, late blight, caused by the oomycete pathogen Phytophthora infestans. More than 150 years have elapsed since this disease caused the Irish potato famine, but strategies for managing it often remain unsustainable and costly. With the advent of molecular biology, genetic engineering, and now, genomics-based approaches, it may be possible to initiate studies which will address important questions regarding very complex host-pathogen interactions. Dr. Daayf’s lab has shown that the most aggressive strains of P. infestans suppress potato defense mechanisms, through transcriptional inhibition of PAL and HMGR pathways. Therefore, the objective of the current study was to carry out a molecular characterization of potato defense suppression by Phytophthora infestans. Gene expression profiling was accomplished by developing a new subtractive hybridization (SH)/cDNA-AFLP combinational approach. This approach is a gel-based subtractive hybridization profiling technique that uses the advantages of cDNA-AFLP and subtractive hybridization in order to amplify cDNA products in a polyacrylamide gel and remove the constitutively/commonly expressed sequences. Using this approach differentially expressed genes involved in the potato-Phytophthora infestans interaction were identified. These included genes potentially controlling pathogenesis or avr genes in P. infestans as well as those potentially involved in potato resistance or susceptibility to this pathogen. Using the subtractive hybridization (SH)/cDNA-AFLP combinational approach, DOXP-MEP pathway genes were identified for first time in potato and its regulation in response to the oomycete P. infestans. The DOXP-MEP pathway, also called the non-mevalonate route is an alternative terpenoids' biosynthetic route that was discovered first in eubacteria and soon after in photosynthetic organisms such as higher plants, algae as well as in cyanobacteria. In addition, potato plants treated with glucans extracted from P. infestans, the elicitor eicosapentanoic acid (EPA) and P. infestans isolates were analyzed to study the accumulation of phenolic compounds and expression level of genes from the phenylpropanoid, mevalonate and DOXP-MEP pathway.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.860
Threshold uncertainty score0.979

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 head0.173
Teacher spread0.164 · 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 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
Published2011
Admission routes1
Has abstractyes

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