Multiple locus phylogeography to evaluate the diversity of the Cold Water Soft Coral Alcyonium spp. (Anthozoa, Octocorallia: Alcyonacea) between South America and West Antarctic Peninsula
Bibliographic record
Abstract
The Antarctic marine environment has a unique geologic and climatic history that has contributed to the evolution of a diverse range of species. With the environment undergoing warming trends, it is critical to understand the history of Antarctic species to anticipate the effect of environmental changes on ecosystem functioning. Soft corals are a crucial component of the benthic marine assemblage of the Southern Ocean, which is recognized as a biodiversity hotspot. Nevertheless, our comprehension of the biogeographical patterns and distribution of this group in the Southern Ocean is insufficient. In this study, we used molecular phylogenetic reconstructions, divergence estimations, and species delimitations to examine the spatial patterns of genetic diversity in shallow-sea octocorals of the Alcyonium spp. in the Southern Ocean and adjacent regions, utilizing DNA sequences (mtMutS-COI and 28S) and Genomic Single Nucleotide Polymorphisms (SNPs) markers. The study revealed significant genetic differences between different populations, with a clear genetic break observed between SA and WAP populations. We also identified four putative species or evolutionary independent units (EIUs), with one putative species found in the West Antarctic Peninsula, one in the Patagonian region, and two found in Burdwood Bank and Falkland Island, respectively. The divergence time estimation indicated that the diversification process of Alcyonium began about 7.2 million years ago, with the initial separation occurring between WAP and SA populations. Furthermore, the study emphasized the critical role played by the Scotia Sea islands, especially Burdwood Bank, in the evolution of Southern Ocean biota. Overall, the findings provide evidence for the existence of multiple species within the genus Alcyonium and information on the evolutionary history of this group for the first time in the Southern Ocean.
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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 | 0.001 | 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".