The effects of host genetic architecture on the gut microbiome composition of Chinook salmon (Oncorhynchus tshawytscha)
Why this work is in the frame
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Bibliographic record
Abstract
The microbiome community consists of microbes living in or on an organism and has been implicated in both host health and function. Environmental and host-related drivers of the microbiome have been studied in many fish species, but the role of the host genetic architecture across populations and among-families within a population is not well characterized. Here, Chinook salmon (Oncorhynchus tshawytscha) were used to determine inter-population differences and additive genetic variation within populations for gut microbiome diversity and composition. Specifically, hybrid stocks of Chinook salmon were created by crossing males from eight populations with eggs from an inbred line of self-fertilized hermaphrodite salmon. Based on high-throughput sequencing of the 16S rRNA gene, significant gut microbiome community diversity and composition differences were found among the hybrid stocks. These differences likely reflect divergent selection shaping the gut microbiome and its co-evolution with the host. Furthermore, additive genetic variance components varied among hybrid stocks, indicative of population-specific heritability patterns, suggesting the potential to select for specific gut microbiome composition for aquaculture purposes. Determining the role of host genetics in shaping their gut microbiome has important implications for predicting population responses to environmental changes and will thus impact conservation efforts for declining populations of Chinook salmon.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it