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Record W4417453966 · doi:10.1186/s40168-025-02239-y

Bacillus amyloliquefaciens PP19 regulation of microbial communities and suppression of Peronophythora litchii

2025· article· en· W4417453966 on OpenAlexaff
Zheng Li, Xinmin Lv, Anqi Fu, Mengbing Li, Shilian Huang, Tom Hsiang

Bibliographic record

VenueMicrobiome · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of GuelphMinistry of Agriculture
FundersBasic and Applied Basic Research Foundation of Guangdong Province
KeywordsBacillus amyloliquefaciensBiofilmBiological pest controlMicrobial ecologyBacteriaBacillus (shape)Microbial population biologyColonization

Abstract

fetched live from OpenAlex

BACKGROUND: Litchi downy blight (LDB) is a major disease affecting litchi (Litchi chinensis), damaging fruits, inflorescences, and leaves, and significantly hindering the development of the litchi industry in China and globally. Bacillus amyloliquefaciens PP19 has demonstrated significant biocontrol efficacy against LDB, but its mechanism of action remains unclear. RESULTS: This study used microbiome analysis and bacterial interaction studies to investigate the biocontrol mechanism by which PP19 regulates core microbial communities on litchi exocarps to suppress LDB. First, 16S rRNA diversity analysis revealed that PP19 pretreatment effectively prevented bacterial diversity imbalances caused by Peronophythora litchii infection, maintaining microbial stability by regulating the abundance of specific genera (Actinomycetospora, Paenibacillus, and Spirosoma). Microbial interaction networks and functional prediction revealed that PP19 might modulate bacterial motility pathways, resulting in changes to the abundance of specific microbial communities on litchi exocarps. These changes facilitated the formation of a core microbiome negatively correlated with the abundance of P. litchii. By isolating and genetically identifying 83 cultivable bacterial strains from litchi exocarps and using correlation analysis, 16 candidate strains with potentially significant interactions with PP19 and P. litchii SC18 were identified. Plate antagonism, liquid co-culture, and leaf biocontrol efficacy analyses ultimately identified four representative strains (Sphingomonas sp. F14, Rhizobium sp. F26, Pseudomonas sp. F32, and Enterobacter cloacae F63) with significant interactions with either PP19 or P. litchii. Interaction, motility, and biofilm production analyses showed that PP19 interacted with the four litchi exocarp bacteria to prevent disease through various mechanisms, and enhanced their motility and biofilm production to varying degrees. CONCLUSIONS: PP19 regulates core microbial communities on litchi exocarps, maintaining community stability and enriching interacting strains which together inhibit the growth of P. litchii, thereby achieving biocontrol efficacy. Video Abstract.

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 score0.130
Threshold uncertainty score0.218

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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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