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Record W7056039372

Discovery and Testing of Bacteria from Pollen and Unpollinated Silks of Pan-American Maize to Combat Fusarium graminearum

2023· dissertation· en· W7056039372 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Atrium (University of Guelph) · 2023
Typedissertation
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaOntario Ministry of Agriculture, Food and Rural AffairsGrain Farmers of Ontario
KeywordsPollenBacteriaSporeFusariumMycotoxinBacillus (shape)
DOInot available

Abstract

fetched live from OpenAlex

The process of fertilization in maize (Zea mays L.) makes its progeny susceptible to the fungal pathogen, Fusarium graminearum (Fg), that causes the devastating grain disease Gibberella ear rot (GER). Fg deposits mycotoxins in seeds, reduces progeny fitness, and ultimately causes significant economic losses to farmers globally. Maize is a wind-pollinated crop. Fg spores are airborne and enter developing seeds through the maternally derived style (silk) which must be exposed to the environment to capture pollen and transmit the male gametes to the ovule. Pollen and style tissues of other plants have been previously explored for their microbiomes; however no prior studies have reported the functions of pollen-associated bacteria in any plant species, and no unpollinated silk-derived bacteria have been tested for suppression of Fg. I hypothesized that the male gametophyte (pollen) and the maternal transmission route for male gametes (unpollinated silk) possess beneficial bacteria that can actively defend the silk channels against Fg, protecting progeny seeds and ultimately the genetic contribution of both parents. Additionally, I hypothesized that there may have been long-term natural and/or farmer selection for pollen and silk-associated bacteria to suppress Fg along the silk passage and in progeny seeds. I cultured bacteria from pollen and unpollinated silks from diverse wild and farmer-selected maize landraces spanning the Americas. These bacteria were taxonomically classified using 16S rRNA sequencing, then tested against Fg in vitro. The five best bacterial strains were further sprayed onto silks and then challenged with Fg in replicated greenhouse trials, followed by mycotoxin testing: the strains suppressed disease and mycotoxins. The best anti-Fg strain from both pollen and silk were further studied using confocal fluorescent imaging of live silks, revealing their ability to colonize known Fg entry points on silks, with evidence for fungicidal activity after infection. Overall, I gained support for the hypotheses that maize pollen and silk possess beneficial bacteria that can defend the male migration route inside the exposed maternal silk passage against airborne Fg. Preliminary qualitative observations are consistent with the hypothesis that these anti-Fg microbiome traits were under selection in the Americas, but further statistical evidence is required.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.975
Threshold uncertainty score0.998

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 head0.014
GPT teacher head0.207
Teacher spread0.193 · 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