Comparative Ultrastructural and Biochemical Studies of Four Demosponges from Gulf of Mannar, India
Bibliographic record
Abstract
Marine sponge explorations at Gulf of Mannar (GoM), India in the past few years (2003-2009) revealed around forty sponge species that lead to various comprehensive studies on chemicobiological molecules including collagens and their applications. Basing on the preliminary evaluations on collagen content, four marine sponges Hyattella cribriformis , Fasciospongia cavernosa , Callyspongia fibrosa and Dysidea fragilis belong to the families Spongiidae, Thorectidae, Callyspongiidae and Dysideidae of the class Demospongiae, were chosen for macromolecular and micro-anatomical comparison. Microscopic examinations were performed to understand the form and arrangement of skeletal components in each sponge, where unique skeletal composition and spongin distribution is typical for all the sponges except D. fragilis , which is highly embedded with diversified oxeae. Biochemical analyses were performed to resolve the macromolecular content for each sponge species. Sponge D. fragilis was found to possess less protein content (57.26±3.36 mg/g freeze-dried sponge wt) when compared to other sponges and significantly, C. fibrosa possess high protein (209.55±9.53 mg/g) and other macromolecular contents, except pentose (24.12±1.21 mg/g). Different forms of collagens viz ., Acid soluble (AS), salt soluble (SS) and insoluble (Ins) collagens are estimated to understand the variation in collagen make up in their respective tissues. The higher collagen content in C. fibrosa could propose to use this species as a potential model for targeting collagenous molecules towards human health benefits.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".