Evidence map›Paper›PMID 36340513›Full record

ArticleRoyal Society open science2022

Larval fish counteract ram and suction to capture evasive prey.

Irvin Chang, Daniel K Hartline, Petra H Lenz, Daisuke Takagi

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Irvin ChangDepartment of Mathematics, University of Hawai'i at Mānoa, 2565 McCarthy Mall, Honolulu, HI 96822, USA.ORCID 0000-0001-6044-8227
Daniel K HartlinePacific Biosciences Research Center, University of Hawai'i at Mānoa, 1993 East-West Road, Honolulu, HI 96822, USA.
Petra H LenzPacific Biosciences Research Center, University of Hawai'i at Mānoa, 1993 East-West Road, Honolulu, HI 96822, USA.
Daisuke TakagiDepartment of Mathematics, University of Hawai'i at Mānoa, 2565 McCarthy Mall, Honolulu, HI 96822, USA.ORCID 0000-0002-9738-1414
University of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A simple hydrodynamic model of predator-prey interactions between larval clownfish and copepod prey is used to elucidate how larval fish capture highly evasive copepods. Fish larvae are considered to be suction feeders; however, video observations revealed that successful captures by clownfish larvae were preceded by rapidly accelerating lunges (ram), while the role of suction to draw prey into the fish's mouth was less clear. Simulations were made of the fish's strike, varying strengths of ram and suction to characterize optimal strategies for copepod capture given known evasive capabilities. Our results suggest that, contrary to expectations, suction feeding is dominant only in older larvae, whereas ram feeding is the dominant mode for early larvae. Despite the relatively weak suction produced by smaller larvae, it still plays a crucial role in prey capture through hydrodynamic stealth. Escape-triggering water deformations from the strike can be cancelled through controlled suction. Experimental data obtained from larval clownfish agree with model results, suggesting that the primary role of suction in early larvae is providing hydrodynamic stealth rather than capture.

Indexed as

copepodhydrodynamic stealthlarval fishpredator–prey interactionram feedingsuction feeding

Identifiers

PMID36340513
PMCPMC9626256
OpenAlexW4308143821

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.