Comparative genome characterization of Echinicola marina sp. nov., isolated from deep-sea sediment provide insight into carotenoid biosynthetic gene cluster evolution
Bibliographic record
Abstract
Abstract Echinicola, carotenoid-pigmented bacteria, are isolated from various hypersaline environments. Carotenoid accumulation in response to salt stress can stabilize the cell membrane in order to survive. A pink-colored strain SCS 3–6 was isolated from the deep-sea sediment of the South China Sea. Growth was found to occur at 10–45 °C. The strain could tolerate 10% (w/v) NaCl concentration and grow at pH 5–9. The complete genome of SCS 3–6 comprises 5053 putative genes with a total 5,693,670 bp and an average G + C content of 40.11 mol%. The 16S rRNA gene sequence analysis indicated that strain SCS 3–6 was affiliated with the genus Echinicola, with the closely strains were Echinicola arenosa CAU 1574T (98.29%)and Echinicola shivajiensis AK12T (97.98%). For Echinicola species with available genome sequences, pairwise comparisons for average nucleotide identity (ANI) and in silico DNA-DNA hybridization (DDH) revealed ANIb values from 70.77 to 74.71%, ANIm values from 82.72 to 88.88%, and DDH values from 18.00 to 23.40%. To identify their genomic features, we compared their genomes with those of other Echinicola species. Phylogenetic analysis showed that strain SCS 3–6 formed a monophyletic clade. Genomic analysis revealed that strain SCS 3–6 possessed a complete synthetic pathway of carotenoid and speculated that the production was astaxanthin. Based on phenotypic and genotypic analyses in this study, strain SCS 3–6 is considered to represent a novel species of the genus Echinicola for which the name Echinicola marina sp. nov. is proposed. The type strain is SCS 3-6T (= GDMCC 1.2220T = JCM 34403T).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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".