Effect of plant species on the function and structure of the bacterial community in the rhizosphere of lead–zinc mine tailings in Zhejiang, China
Bibliographic record
Abstract
To uncover the role played by pioneer plants in the natural succession of vegetation on heavy-metal mine tailings, it is important to explore the sensitive indicator of rhizosphere microbial community performance. We investigated the structure and function of rhizosphere bacterial communities of five pioneer plants growing on lead-zinc mine tailings in Zhejiang, China. Compared with the control, all five pioneer plants differentially affected the structure and function of rhizosphere bacterial communities. The number of bacteria, the activity of β-glucosidase and urease, and species richness indices were the highest in the rhizosphere of Erigeron annuus . The carbon utilization ability and the functional diversity indices were the highest in the rhizosphere of Lysimachia clethroides . There was no significant relationship between the functional or structural diversity indices and the bioavailable heavy-metal content among each species. Clustering analysis and the nonmetric dimensional scaling biplot showed that the rhizosphere bacterial communities of the five pioneer plants were different from those of control, indicating that plant species might be the main driver of microbial community composition on mine tailings. Both L. clethroides and E. annuus might be appropriate candidates for phytoremediation of mine tailings for higher soil microbial community function and species richness in rhizosphere.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".