Sedimentary <scp>DNA</scp> of a human‐impacted lake in Western Canada (Cultus Lake) reveals changes in micro‐eukaryotic diversity over the past ~200 years
Bibliographic record
Abstract
Abstract Although the use of genetic analyses of sedimentary DNA to track changes in biodiversity has increased over the last decade, questions remain as to how well DNA captures past ecological conditions. Even less is known about how extracellular and intracellular DNA are archived in lake sediments and whether the two fractions yield similar information. Here we characterized the changes of micro‐eukaryotic communities over the past ~200 years in Cultus Lake (British Columbia, Canada), for which a rich body of limnological data and a pre‐existing multi‐proxy paleolimnological study exist. We generated and analyzed 18S rRNA gene amplicons and found that extracellular and intracellular DNA provided different insights, with the preservation of extracellular DNA compromised in sediments older than ~30 years. Principal Coordinates and indicator species analyses based on intracellular DNA showed that changes in micro‐eukaryotic diversity occurred at similar time periods as those identified with the classical paleolimnological study. For instance, decreases of Opisthokonta amplicons occurred during years with elevated numbers of sockeye salmon spawners, which might be associated with an increase of herbivory by juvenile sockeye salmon. Furthermore, two diatom species identified morphologically exhibited similar temporal dynamics to two diatom taxa identified genetically, suggesting that sedimentary DNA can track past diatom species changes as well as micro‐eukaryotic community changes. Overall, our study provides insights into the use of extracellular and intracellular DNA in sedimentary records and showed that sedimentary DNA enriches our understanding of micro‐eukaryotic community changes over centennial time scales.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".