Proteome analysis demonstrates complex replicon and luteolin interactions in pSyma-cured derivatives ofSinorhizobium meliloti strain 2011
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Bibliographic record
Abstract
Sinorhizobium meliloti was studied by proteomic analysis to investigate the contribution made by plasmid-encoded functions on the intracellular regulation of this bacterium. Protein profiles of strain 2011 were compared with those from its mutant strains which were either cured of their pRme2011a (also called pSyma) plasmid (strain 818), or contained an extensive deletion of this plasmid (strain SmA146). Plasmid pSyma contains the nodulation and nitrogen fixation genes and is 1.4 Mbp with an estimated coding potential of 1,400 proteins. However, under the growth conditions used we could detect 60 differences between the parent strain and its pSyma-cured derivative, strain 818. While the majority of these differences were due to regulatory changes, such as up- and downregulation, some proteins were totally missing in some strains. These 60 proteins were classified into 21 subgroups, A to U, based on their measured protein levels when the cells were grown in the presence or absence of luteolin. Comparisons were made between the different strains to assess the possible interactions of the different proteins of the subgroups and plasmid pSyma. These results suggest that pSyma has a role in the regulation of the expression of genes from the other replicons (3.5 Mbp chromosome and the 1.7 Mbp pSymB plasmid) present in the S. meliloti cells. Proteome analysis provides a sensitive tool to examine the functional organisation of the S. meliloti genome and the intracellular gene interactions between replicons and will provide a powerful analytical tool to complement the genome sequencing of strain 1021.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it