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Record W2011278742 · doi:10.1242/jeb.085258

FEEDING DIFFERENCES IN MALE AND FEMALE STICKLEBACKS

2013· article· en· W2011278742 on OpenAlexaboutno aff
Nicola Stead

Bibliographic record

VenueJournal of Experimental Biology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine and fisheries research
Canadian institutionsnot available
Fundersnot available
KeywordsPredationBiologyBayCourtshipFish <Actinopterygii>FisheryEcologyZoologyGeography

Abstract

fetched live from OpenAlex

Many fish make the intrepid migration from sea to freshwater to breed; however, some of these visitors enjoy their trips so much that they stay and evolve to live full time in freshwater. But how do marine sticklebacks make this evolutionary transition? Intrigued, Matthew McGee, a PhD student from the University of California, Davis, USA, captured marine sticklebacks from a nearby bay to begin to find out. While filming them snacking on crustaceans, he noticed something unusual: ‘The males and females were striking at their prey in different ways’, remembers McGee. This observation was surprising and when McGee told his advisor, Peter Wainwright, McGee recalls, ‘He didn't believe me at first because sexually dimorphic feeding movements had not been seen before in any fish species’. Nonetheless, McGee persisted and decided to investigate further the different feeding habits of the two sexes (p. 835).Feeding in fish mainly occurs by sucking prey into an open mouth, which involves many bones and muscles explains McGee: ‘Fish can protrude their jaws forward from their head to move their suction flow closer to a prey item and hyoid [bone] depression causes the floor of the fish's mouth cavity to drop down to expand the area of the cavity and suck more water in’. To characterise differences in feeding mechanisms between the sexes, he filmed the feasting fish at 500 frames s–1 before analysing the exact jaw and hyoid movements. He found that females were able to both protrude their jaw and depress their hyoid more than males. However, males struck prey at a much closer distance and reached maximum jaw protrusion 11 ms faster than their female counterparts. When he measured some of the same traits in preserved sticklebacks from another marine location in Washington, USA, he again saw jaw protrusion was larger in female fish.McGee believes that these differences between the sexes mean that males are less capable of capturing prey by suction feeding, as their mouths open less than females'. Instead, he suggests that their jaws are more suited to biting. Explaining that males construct nests, and the ability to bite is particularly useful for collecting building materials from the lake floor, McGee suggests that it is possible that the males have traded their prowess as hunters to become homemakers.But McGee also wondered whether this sexual dimorphism might also help sticklebacks make the transition from being a marine inhabitant to a freshwater resident. As the male-like jaw is better for biting rather than sucking, it is also well suited to capturing non-evasive prey on the lake floor, which rely on armour and burrowing to evade predators, whereas a female-like jaw would be suited to capturing evasive free-swimming prey from a further distance. McGee reasoned that if one particular prey was more abundant in a new freshwater environment, it would be useful to already have the two different feeding traits within the population for selection to act upon. Luckily, McGee had already scouted out freshwater sticklebacks in Canada, and was able investigate his theory by measuring the jaw protrusions in these sticklebacks. Sure enough, males and females that inhabited open water away from the sides and bottom of the lake had female-like jaw protrusions irrespective of sex, whereas another population, which forages along the lake floor, had a more male-like jaw protrusion.McGee suspects that probably many fish species display sexual dimorphism in feeding movements and that this dimorphism provides them with the important ability to adapt to new situations or tasks, be it at sea or in a lake.

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 score0.008
Threshold uncertainty score0.017

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.287
Teacher spread0.261 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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