Estuarine-Scale Genetic Variation in the Polychaete<i>Hobsonia florida</i>(Ampharetidae; Annelida) in Long Island Sound and Relationships to Pleistocene Glaciations
Bibliographic record
Abstract
Modern patterns of genetic variation in northern estuarine species are likely shaped by both historical and contemporary processes. Many studies have demonstrated the predominant roles of Pleistocene glaciations, life-history traits, or a combination of both in shaping patterns of population differentiation across a broad range of animal species, yet comparatively few have investigated such questions in benthic invertebrates. We examined fine-scale patterns of genetic differentiation among populations in the ampharetid polychaete Hobsonia florida in Long Island Sound (LIS) relative to its life-history traits and the geologic history of the region. Mitochondrial DNA sequencing of cytochrome oxidase I (COI) revealed 15 unique haplotypes among four populations in LIS and two outgroups. Populations in LIS exhibited the greatest haplotypic diversity compared to outgroup populations. Analysis of molecular variance revealed a highly significant level of genetic heterogeneity (P < 0.001) in LIS, with almost 40% of the variance attributed to differences among populations. Population differentiation was further revealed by highly significant fixation indices for all pairwise comparisons. Analysis using a mtDNA COI molecular clock estimated that haplotype divergence ranged from about 73,000 to 366,000 years before present. Our results suggest that the observed population genetic structure of H. florida in LIS has been strongly influenced by a series of glacially mediated vicariance events, leading to periodic population isolation and mixing, further mediated by low dispersal and specialized habitat requirements.
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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 | 0.000 |
| 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".