Evidence map›Paper›PMID 31146127›Full record

ArticleiScience2019

Adaptive Diversification of the Lateral Line System during Cichlid Fish Radiation.

Duncan E Edgley, Martin J Genner

Abstract read
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Electroreception in treehoppers: How extreme morphologies can increase electrical sensitivity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Parallel sensory compensation following independent subterranean colonization by groundwater salamanders (Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Royal Society open science · 2022
    Article
  14. Article
  15. Article
  16. 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

2 authors.

Duncan E EdgleySchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ, UK. Electronic address: duncan.edgley@bristol.ac.uk.
Martin J GennerSchool of Biological Sciences, University of Bristol, Life Sciences Building, 24 Tyndall Avenue, Bristol BS8 1TQ, UK. Electronic address: m.genner@bristol.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanosensory lateral line system is used by fishes to sense hydrodynamic stimuli in their environment. It provides information about flow regimes, proximity to substrate, and the presence and identity of prey and predators and represents a means of receiving communication signals from other fish. Thus we may expect lateral line system structures to be under strong divergent selection during adaptive radiation. Here, we used X-ray micro-computed tomography scans to quantify variation in cranial lateral line canal morphology within the adaptive radiation of Lake Malawi cichlids. We report that cranial lateral line canal morphology is strongly correlated with diet and other aspects of craniofacial morphology, including the shape of oral jaws. These results indicate an adaptive role for the lateral line system in prey detection and suggest that diversification of this system has taken an important role in the spectacular evolution of Lake Malawi's cichlid fish diversity.

Indexed as

AnimalsBiological SciencesEcologyEvolutionary BiologyZoology

Identifiers

PMID31146127
PMCPMC6542376

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.