Analysis of bacterial communities associated with the benthic amphipod <i>Diporeia</i> in the Laurentian Great Lakes Basin
Bibliographic record
Abstract
Bacterial communities play important roles in the biological functioning of crustaceans, yet little is known about their diversity, structure, and dynamics. This study was conducted to investigate the bacterial communities associated with the benthic amphipod Diporeia, an important component in the Great Lakes foodweb that has been declining over the past 3 decades. In this study, the combination of 16S rRNA gene sequencing and terminal restriction fragment length polymorphism revealed a total of 175 and 138 terminal restriction fragments (T-RFs) in Diporeia samples following treatment with the endonucleases HhaI and MspI, respectively. Relatively abundant and prevalent T-RFs were affiliated with the genera Flavobacterium and Pseudomonas and the class Betaproteobacteria. T-RFs affiliated with the order Rickettsiales were also detected. A significant difference in T-RF presence and abundance (P = 0.035) was detected among profiles generated for Diporeia collected from 4 sites in Lake Michigan. Comparison of profiles generated for Diporeia samples collected in 2 years from lakes Superior and Michigan showed a significant change in diversity for Lake Superior Diporeia but not Lake Michigan Diporeia. Profiles from one Lake Michigan site contained multiple unique T-RFs compared with other Lake Michigan Diporeia profiles, most notably one that represents the genus Methylotenera. This study generated the most extensive list of bacteria associated with Diporeia and sheds useful insights on the microbiome of Great Lakes Diporeia that may help to reveal potential causes of the decline of Diporeia populations.
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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) | 0.000 | 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".