MétaCan
Menu
← Back to cohort
Record W2334874921 · doi:10.1242/jeb.129916

Anaemic starlings have fewer chicks (sometimes)

2016· article· en· W2334874921 on OpenAlexaboutno aff
William Joyce

Bibliographic record

VenueJournal of Experimental Biology · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
Fundersnot available
KeywordsNest (protein structural motif)SturnusReproductive successBiologyReproductionAvian clutch sizeFledgePopulationStarlingAnimal scienceZoologyEcologyDemographyHatching

Abstract

fetched live from OpenAlex

To boost aerobic performance, fraudulent athletes engage in blood doping to increase the haemoglobin levels in their blood. Surprisingly, however, during reproduction – a period of huge metabolic investment into the next generation – birds often exhibit a reduction in the haemoglobin concentration in their blood. This is due, at least in part, to increased levels of oestrogen that suppress the formation of new red blood cells. Reproductive output is at the crux of Darwinian fitness, so the possibility that anaemia compromises breeding success has clear evolutionary relevance. However, evaluating the importance of oxygen transport by haemoglobin in supporting reproductive exertions represents no small challenge.Undaunted, a team from Simon Fraser University, Canada, including Raime Fronstin, Julian Christians and Tony Williams, recently investigated the link between haemoglobin and reproductive success in wild starlings. Over 3 years, they monitored approximately 150 nest boxes at a local dairy farm and accurately recorded when each bird laid eggs, the number of eggs in a clutch and the size of the chicks. The authors also collected blood samples from the birds during the course of their observations. Then, through a series of elegant experiments, they related the measurements of the birds’ reproductive output to their haematology.Fronstin and colleagues first investigated the natural variation in haematocrit (the percentage of blood volume occupied by red blood cells) in their starling population. From each nesting bird, they took a baseline blood sample, which revealed that females with haemoglobin-packed blood laid their eggs considerably earlier and raised more fledglings than those with low haemoglobin concentrations. However, these early hatchlings did not necessarily get more worms: the chicks that hatched from eggs that were laid earlier grew no larger than the later chicks.Spurred on by the enticing correlations, the team next adopted a classical experimental approach: they rendered some of the maternal starlings anaemic by injecting them with a compound, phenylhydrazine, which bursts red blood cells. The first time they conducted this experiment, in 2010, the results could not have been clearer: the anaemic females took longer to lay eggs, had smaller chicks and, by the time the chicks left the nest, had fewer than half the number of fledglings. Haemoglobin was clearly crucial for reproductive success.The next year, 2011, when the authors repeated their efforts, the promising results could not be replicated. The anaemic females laid just as many eggs and successfully raised equally large fledglings. For most scientists, this inconsistency would be a source of frustration. But Fronstin and his co-workers saw something deeper. They realised that in 2011, hatchlings were on average larger than in previous years. Conversely, in 2010 all of the chicks were smaller than usual. They accordingly suggest that the importance of haemoglobin varies with the availability of resources, such as food.This study represents an impressive unification of mechanistic physiology and reproductive fitness. It further shows that the link is not necessarily simple and opens up new avenues to establish how the importance of oxygen transport by haemoglobin may vary under different conditions in the wild.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0120.005

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 head0.024
GPT teacher head0.277
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Experimental Biology→Same topicAnimal Behavior and Reproduction→French-language works237,207→