Feeling hormonal? Insights into bacterial auxin sensing and its physiological effects
Bibliographic record
Abstract
ABSTRACT Plant–microbe communication involves a rich language of chemical signals. Among these signals are plant hormones such as auxins, which are primarily recognized for their roles in plant development. However, they also function in modulating plant–microbe interactions. Interestingly, many bacteria are capable of producing auxins too. Yet, the mechanisms by which auxins affect bacteria and the regulatory processes controlling their production are largely unknown. Rico-Jiménez and colleagues present new insights into the effects of the auxin indole-3-acetic acid on the physiology of the rhizobacterium Serratia plymuthica (M. Rico-Jiménez, Z. Udaondo, T. Krell, and M. A. Matilla, mSystems 9:e00165-24, 2024, https://doi.org/10.1128/msystems.00165-24 ). Their work provides a deeper mechanistic understanding of bacterial transcriptional responses to plant hormones and the impact on bacterial fitness in the context of the rhizosphere environment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.018 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".