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Record W2480992725 · doi:10.1021/acschembio.6b00438

Mechanistic Insight into the Biosynthesis and Detoxification of Fumonisin Mycotoxins

2016· article· en· W2480992725 on OpenAlexafffund
Kevin M. N. Burgess, Justin B. Renaud, Tim McDowell, Mark W. Sumarah

Bibliographic record

VenueACS Chemical Biology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycotoxins in Agriculture and Food
Canadian institutionsAgriculture and Agri-Food Canada
FundersAgriculture and Agri-Food Canada
KeywordsDetoxification (alternative medicine)MycotoxinFumonisinBiosynthesisFumonisin B1BiologyBiochemistryComputational biologyChemistryMicrobiologyBiotechnologyEnzymeMedicine

Abstract

fetched live from OpenAlex

Fumonisins, notably FB1, FB2, FB3, and FB4, are economically important mycotoxins produced by a number Fusarium sp. that occur on corn, rice, and sorghum as well as by Aspergillus sp. on grapes. The fumonisin scaffold is comprised of a C18 polyketide backbone functionalized with two tricarballylic esters and an alanine derived amine. These functional groups contribute to fumonisin's ability to inhibit sphingolipid biosynthesis in animals, plants, and yeasts. We report for the first time the isolation and structure elucidation of two classes of nonaminated fumonisins (FPy and FLa) produced by Aspergillus welwitschiae. Using a Lemna minor (duckweed) bioassay, these new compounds were significantly less toxic in comparison to the fumonisin B mycotoxins, providing new insight into the mechanism of fumonisin toxicity. Time course fermentations monitoring the production of FB4, FPy4, and FLa4, as well as (13)C and (15)N stable isotope incorporation, suggest a novel postbiosynthetic oxidative deamination process for fumonisins. This pathway was further supported by a feeding study with FB1, a fumonisin not produced by Aspergillus sp., which resulted in its transformation to FPy1. This study demonstrates that Aspergillus have the ability to produce enzymes that could be used for fumonisin detoxification.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.141

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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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

Citations39
Published2016
Admission routes2
Has abstractyes

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