Accurate methods of DNA extraction and PCR‐based genotyping for single scallop embryos/larvae long preserved in ethanol
Bibliographic record
Abstract
Marine scallops are sessile as adult but have a long planktonic larval phase showing great possibility to migrate in marine realm lacking of obvious barriers. Genetic analysis of scallop embryos/larvae based on molecular markers is very essential to clarify the spatial and temporal gene flow and the unique population and community structure. However, the technical challenges, such as single embryos/larvae isolation and low quantity and poor quality of DNA extracted, make genotyping for a single embryo/larva long preserved in ethanol to be a really difficult task. In this study, we analysed the factors that might affect the DNA quantity and quality for simple sequence repeat-based genotyping for single embryos/larvae. Based on the factors analysed, we developed a LoTEPA buffer-based method, of which the accuracy, stability and reproducibility were evaluated by controlled inter- and intraspecies and self-fertilized scallop families. The genotyping results showed the high success rate of more than 90% in total for embryos/larvae preserved in ethanol for 1-5 years. Furthermore, the successful genotyping for the larvae sampled from a natural habitat well demonstrated the potential use of this method in practical ecological analysis.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".