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Secondary Metabolites Produced by Plant Growth-Promoting Bacterial Endophytes

2022· review· en· W4304632008 on OpenAlexaff
Zareen Narayanan, Bernard R. Glick

Bibliographic record

VenueMicroorganisms · 2022
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBiologyBacteriaMicroorganismPlant growthAdaptation (eye)Secondary metabolismSecondary metaboliteBiotechnologyBotanyBiochemistryBiosynthesisGene

Abstract

fetched live from OpenAlex

There is an increasing interest in the use of beneficial microorganisms as alternatives to chemically synthesized or plant-derived molecules to produce therapeutic agents. Bacterial endophytes are plant-associated microorganisms that can colonize different parts of living plants without causing any diseases. Diverse endophytic bacteria possess the ability to synthesize a wide range of secondary metabolites with unique chemical structures that have been exploited for their anti-microbial, antiviral, anti-cancer, and anti-inflammatory properties. Additionally, production of these bioactive compounds can also benefit the host plant as they may play a significant role in a plant's interaction with the environment for adaptation and defense. As a result of their significant impact as curative compounds or as precursors to produce new drugs, the biotechnological possibilities of secondary metabolites derived from endophytic bacteria are immense.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.027
GPT teacher head0.229
Teacher spread0.202 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations120
Published2022
Admission routes1
Has abstractyes

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