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Record W4405582896 · doi:10.1093/jambio/lxae307

<i>Bacillus safensis</i> LS01 provides biological control of potato common scab with potential effects from secondary metabolites

2024· article· en· W4405582896 on OpenAlexaff
Lixue Wang, Song Liu, Lichun Wang, Yang Pan, Xuepeng Fu

Bibliographic record

VenueJournal of Applied Microbiology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Resistance and Genetics
Canadian institutionsMinistry of Agriculture
FundersNational Natural Science Foundation of China
KeywordsCommon scabMyceliumBiologyBacillus (shape)StreptomycesBiological pest controlMicrobiologyStrain (injury)MicroorganismBacteriaBotany

Abstract

fetched live from OpenAlex

AIMS: Potato common scab (CS), caused by pathogenic Streptomyces, is a devastating disease affecting potato crops worldwide. Antagonistic microorganisms have been used as biological control agents to inhibit Streptomyces scabies and reduce the use of synthetic pesticides. However, identifying beneficial microorganisms for controlling CS remains undetermined. METHODS AND RESULTS: Strain LS01 was isolated from the geocaulosphere soils of healthy potato tubers. In vitro and pot experiments demonstrated that strain LS01 significantly inhibited the mycelial growth and sporulation of S. scabies, thereby reducing the severity of CS. Sequencing of the 16S rRNA of LS01 indicated that the strain belonged to the species Bacillus safensis. Whole-genome sequencing, metabolomic analysis with liquid chromatograph mass spectrometer, and uultra-high performance liquid chromatography with quadrupole time-of-flight mass spectrometry analyses indicated that hygromycin B and plantazolicin may be the active secondary metabolites by which B. safensis LS01 inhibits S. scabies. CONCLUSIONS: Bacillus safensis LS01 is a potential biocontrol agent for CS, with its secondary metabolites exerting effective inhibitory effects.

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 score0.106
Threshold uncertainty score0.283

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.175
Teacher spread0.171 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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