Heritability of immunological characteristics in Florida Scrub-Jays (<i>Aphelocoma coerulescens</i>)
Bibliographic record
Abstract
The degree to which immunological phenotype is under genetic control as opposed to plasticity in response to variable environmental conditions remains largely unknown in natural populations. We assessed different aspects of immune function in father–son pairs in Florida Scrub-Jays (Aphelocoma coerulescens (Bosc, 1795)), a species with high natal philopatry, to determine if the responses were heritable. Specifically, we examined heritability of the (i) heterophil to lymphocyte ratio, (ii) ability to kill the Gram-negative bacteria Escherichia coli in an in vitro challenge, and (iii) ability to kill the Gram-positive bacteria Staphylococcus aureus in an in vitro challenge. The heritability (h2) of each of the three measures described above was estimated as twice the slope of the regression (2β) from the mean value for each measure for sons on the mean value of the same measure for the father. Heritability estimates were high for all measures: heterophil to lymphocyte ratios (h2 = 1.54 ± 0.31) and E. coli (h2 = 1.84 ± 0.12) and S. aureus (h2 = 1.13 ± 0.16) killing abilities. Our results show a strong correlation between father and son immune function, as well as the influential nature of genetic inheritance and potential environmental effects associated with high natal philopatry on physiology.
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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".