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Record W7058312541

Metabolic phenotyping of barley genotypes varying in resistance to Fusarium head blight

2011· dissertation· en· W7058312541 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2011
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersMinistère de l'Agriculture, des Pêcheries et de l'Alimentation
KeywordsFusariumGenotypeResistance (ecology)Hordeum vulgarePlant disease resistanceAvenaMetabolic activityQuantitative trait locus
DOInot available

Abstract

fetched live from OpenAlex

Fusarium head blight (FHB), caused by Fusarium graminearum is a devastating disease of barley (Hordeum vulgare L.).Resistance in barley to FHB is quantitatively inherited and breeding for resistance is the most viable option to manage this disease.Though several FHB resistance quantitative trait loci (QTL) have been identified, the mechanism(s) of resistance is still unclear.A technology to uncover the mechanisms of resistance to FHB to aid in breeding for resistance is of immediate need for barley breeders.Metabolic profiling was applied to distinguish resistance in barley to FHB.This investigation reports three progressive studies.The first study explored the metabolic phenotyping of resistance in two barley recombinant inbred lines (RIL), H106-4 (resistant) and H106-371 (susceptible) against FHB.This study identified several resistance related (RR) metabolites.The second study was conducted to validate the RR metabolites identified in study-I, and also to identify novel RR metabolites.In study-II, five very resistant two-row genotypes, 'CIho4196', 'Zhedar-1', 'Zhedar-2','Fredrickson', 'Harbin-2r' and a susceptible CH9520-30 were phenotyped based on metabolic profiling.RR metabolites occurring in more than one genotype were considered potential biomarkers.In study-III, four RILs, two each of black and yellow barley, varying in resistance to FHB were phenotyped for resistance against trichothecene-producing and nonproducing (tri5 -) isolates of F. graminearum based on metabolic profiling.The metabolites were extracted from mock-inoculated or F. graminearuminoculated spikelets using aqueous methanol and analyzed using LC-ESI-LTQ-Orbitrap.Data was analyzed through XCMS and CAMERA bioinformatics tools.Compounds were identified based on accurate mass, fragmentation pattern and carbon-isotopic ratio.Thousands of peaks were detected, of which hundreds of treatment significant peaks were selected based on t-tests.These treatment significant metabolites were classified into resistance related constitutive (RRC) or induced (RRI).Barley resists FHB, through jasmonate-signaling and phenylpropanoids.Jasmonate was induced against trichothecene producing but not against the nonproducing isolate, tri5 -mutant.All barley genotypes (CEROM), Québec, Canada, who funded this work.

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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.020
GPT teacher head0.262
Teacher spread0.243 · 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
Published2011
Admission routes1
Has abstractyes

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