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Record W1870947487 · doi:10.1642/auk-15-34.1

Feather corticosterone levels independent of developmental immune challenges predict carotenoid-based, but not melanin-based, traits at adulthood

2015· article· en· W1870947487 on OpenAlexaff
Graham D. Fairhurst, Nicole Damore, Michael W. Butler

Bibliographic record

VenueThe Auk · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Saskatchewan
FundersDivision of Undergraduate EducationHoward Hughes Medical Institute
KeywordsImmune systemBiologyCorticosteroneFeatherHormoneImmunocompetenceMelaninCarotenoidEndocrinologyInternal medicineZoologyImmunologyGenetics

Abstract

fetched live from OpenAlex

Conditions during development, including nutrition and immune challenges, can have long-lasting effects on subsequent physiological parameters. Many of these organizational effects are mediated by hormones, including corticosterone (CORT), a hormone involved in nutrient mobilization, immune response modulation, and responses to stressors. While the effects of exogenous CORT during development on later-life physiology have demonstrated the important role this hormone plays in developmental plasticity, relatively less attention has been paid to other factors capable of driving a CORT-mediated cascade of phenotypic effects. We tested the effect of nonpathogenic immune challenges during different stages of development and used levels of CORT in feathers (CORTf) to investigate whether CORT levels during development (when the feathers were grown) could predict variation in traits at adulthood. Mallards (Anas platyrhynchos) exhibit a variety of traits as adults that could be influenced by CORT, including a carotenoid-pigmented beak used in mate choice and melanin-based patterning in the speculum of the wing that has no known signaling function. We found that nonpathogenic immune challenges during development had no detectable effects on duckling CORTf, which suggests that more robust immune challenges are required to create a sustained increase in circulating CORT levels. However, duckling CORTf predicted multiple traits at adulthood: higher levels of CORTf were associated with increases in circulating carotenoid levels, degree of carotenoid-based beak coloration, and mass gain. We failed to demonstrate a link between melanin-based speculum patterning and CORT at time of trait development, although speculum patterning was both affected by immune challenge treatment and correlated with adult immune function. These results support the “quality hypothesis,” which states that variation in CORT could be positively correlated with traits reflecting individual quality under certain conditions, and also suggest that the speculum in Mallards may be able to serve as an honest signal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.729
Threshold uncertainty score0.208

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.239
Teacher spread0.159 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2015
Admission routes1
Has abstractyes

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