Comparative genome analysis of completely sequenced <i>Cupriavidus</i> genomes provides insights into the biosynthetic potential and versatile applications of <i>Cupriavidus alkaliphilus</i> ASC-732
Bibliographic record
Abstract
The genome analysis of microorganisms provides valuable information to endorse more extensive research on their potential applications. In this paper, the genome of Cupriavidus alkaliphilus ASC-732, isolated from agave rhizosphere in northeastern Mexico, was analyzed and compared with the genomes of other Cupriavidus species to gain better insight into the parts in the genetic makeup responsible for essential metabolic pathways and others of biotechnological importance. Here, the key genes related to glycolysis, pentose phosphate, and the Entner–Doudoroff and tricarboxylic acid cycle pathways were predicted. Comparative genome analysis revealed that the key genes for hydrogenotrophic growth and carbon fixation pathway, i.e., those coding for hydrogenase and enzymes Calvin–Benson–Bassham cycle, are absent in C. alkaliphilus ASC-732. Furthermore, capabilities for producing polyhydroxyalkanoates and extracellular polysaccharide matrix and degrading xenobiotics were found, and the related pathways are explained. Moreover, biofilm formation and the production of exopolysaccharides and polyhydroxyalkanoates were corroborated with crystal violet staining, calcofluor, and Nile red fluorochromes, confirming the presence of the products of the active genes in these pathways and their related metabolic routes, respectively. Additionally, a large group of genes essential for the resistance and detoxification of several heavy metals were also found. Thus, the present study demonstrates that this strain can respond to various environmental signals, such as energy source, nutrient limitations, virulence, and extreme metals concentration, indicating the possibility to foster C. alkaliphilus ASC-732 in diverse biotechnological applications.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 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".