<i>Populus simonii × Populus nigra</i> overexpressing <i>PsnWRKY70</i> recruits phyllosphere bacterial strains that inhibit <i>Alternaria alternata</i>
Bibliographic record
Abstract
ABSTRACT WRKY transcription factors have been implicated in the regulation of disease resistance associated with plant immune responses, which has crucial implications for defense responses against stress in plants. The role played by the PsnWRKY70 gene of Populus ( Populus simonii × P. nigra ) in triggering the mechanism between the phyllosphere microbiome and plant defense against foliar pathogens remains unclear. Molecular ecological network analysis demonstrated that the stability and complexity of the phyllosphere bacterial community of Populus were influenced by Alternaria alternata infection. Specifically, compared to the wild-type line, the PsnWRKY70 -overexpressing (OE) line had a higher average clustering coefficient and modularity. Furthermore, metabolomic analysis revealed that 19 differential metabolites were significantly enriched in the leaves of the OE line. Among these metabolites, coumarin compounds, such as fraxetin-8-O-glucoside (fraxin) and scopoletin-7-O-glucoside (scopolin), significantly promoted the proliferation of the genera Methylobacterium and Achromobacter with resistance to A. alternata . Additionally, these genera also served as connectors in the molecular ecological network of the phyllosphere microbiome of the OE line. Thus, we concluded that the PsnWRKY70 gene enhanced the stability, complexity, and core taxa cooperation of the phyllosphere microbial network in Populus and regulated the biosynthesis of fraxin and scopolin to recruit beneficial bacteria controlling A. alternata infection. These findings provide valuable insights into the ability of resistant plant genotypes to drive the assembly of the phyllosphere microbiome, advancing our understanding of defense against pathogens using the biocontrol phyllosphere microbial community. IMPORTANCE Poplar leaf blight caused by Alternaria alternata , a common disease in Northeast China, can cause abnormal abscission of poplar leaves and even lead to plant death in severe cases. WRKY transcription factors have been implicated in the regulation of disease resistance associated with plant immune responses to secondary metabolism via a complicated gene network. However, little is known about how the metabolites regulated by the PsnWRKY70 gene trigger changes in the phyllosphere microbiome, leading to increased resistance to foliar pathogens. Here, the PsnWRKY70 overexpressing line of Populus ( Populus simonii × P. nigra ) exhibited increased coumarin synthesis in the leaves, triggering changes in microbial species central in phyllosphere microbial networks and leading to increased resistance to A. alternata infection. This study provides insights into the role of the PsnWRKY70 gene in triggering the resistance mechanism to A . alternata in Populus .
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".