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How does the largehead hairtail see?

The largehead hairtail (Trichiurus lepturus) is a fish in the order Perciformes. Its eyes belong to the vision type Shallow-water fish tetrachromat.

Measured in this species: sharpness. Measured colour or sharpness: a measured receptor set or acuity in this species; other dials come from relatives or group defaults. Every value below carries its evidence level and sources; nothing is typed by hand.

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What stands out

The six dials

Evidence levels: how the tiers work. "Measured" means a value measured in this species; "Estimated" values come from a close relative or an eye-size formula.

Vision values for the largehead hairtail (Trichiurus lepturus), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
1 receptor class: 423 nm (VS/SWS (violet))
receptor set of nearest measured relative Lepidopus fitchi (same family Trichiuridae)
Estimated[1]
SharpnessAcuity
12.5 cycles per degree
median of 1 compilation rows (method priority rule); acuity_cpd: dim-light rows (bright-light rows used) set aside (labelled alternative: 13.3)
Measured (not re-verified)[2]
Field of viewBinocular overlap
32.85°
group default: median of tier-A values in vision type V18 within phylum Chordata (2 species: Danio rerio, Notemigonus crysoleucas)
Group default[3]
Sharp zones (foveas)Number of foveas
0
mode of species-v1 relatives in order Perciformes: Toxotes jaculatrix
Group default[4]
Fovea type
ventrotemporal area (high rgc density)
Group default[4]
Night visionActivity pattern
diurnal
group default: mode of tier-A values in vision type V18 within phylum Chordata (224 species: Amphiprion ocellaris, Acanthochromis polyacanthus, Acanthurus bahianus, Acanthurus chirurgus, Acanthurus coeruleus…
Group default[5][6]
Rods vs cones
cone-dominated
Group default[5][6]
Motion (flicker fusion)Flicker fusion frequency
51 Hz
median of 26 relatives in order Perciformes: Dicentrarchus labrax, Thunnus albacares, Acanthochromis polyacanthus, Thunnus obesus, Centropristis striata, Chaetodipterus faber
Group default[7][8][9][10][11]

Related animals

More fish: all fish with measured vision data.

Sources

  1. Frazer SA, Baghalian M, et al. 2024. Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD). GigaScience 13:giae073; VPOD v1.3 data release. doi.org/10.5281/zenodo.19051998
  2. Caves EM, Sutton TT, Warrant EJ, Johnsen S 2023. Measures and models of visual acuity in epipelagic and mesopelagic teleosts and elasmobranchs. Journal of Comparative Physiology A. zenodo.org/records/8251016
  3. Pita D, Moore BA, Tyrrell LP, Fernandez-Juricic E. 2015. Vision in two cyprinid fish: implications for collective behavior. PeerJ 3:e1113.. doi.org/10.7717/peerj.1113
  4. species_v1:Temple et al. 2010
  5. Froese R. & Pauly D. (eds). FishBase, snapshot v25.04 (morphmet, morphdat, species, families tables), distributed as parquet by C. Boettiger for rfishbase.. fishbase.org
  6. Moura et al. 2024. A phylogeny-informed characterisation of global tetrapod traits addresses data gaps and biases. PLoS Biol 22:e3002658. TetrapodTraits v3.0.1.. doi.org/10.5281/zenodo.22536349
  7. Horodysky A, Brill R, Crawford K et al. (2013) Comparative visual ecophysiology of mid-Atlantic temperate reef fishes. Biology Open
  8. Fogg LG, Chung W-S, Marshall NJ, Cortesi F, de Busserolles F. 2023. Multiple rod layers increase the speed and sensitivity of vision in nocturnal reef fishes. Proc R Soc B 290 (doi:10.1098/rspb.2023.1749). Data: Dryad doi:10.5061/dryad.280gb5mtf, mirrored on Zenodo 7636493. doi.org/10.5061/dryad.280gb5mtf
  9. Haarlem CS, Hynes C, Jackson AL, Mitchell KJ, O'Connell RG, Healy K. 2026. Pace of ecology drives the tempo of visual perception across the animal kingdom. Nature Ecology & Evolution (doi:10.1038/s41559-026-02994-7). Figshare dataset 10.6084/m9.figshare.30556475. doi.org/10.6084/m9.figshare.30556475
  10. Inger R, Bennie J, Davies TW, Gaston KJ. 2014. Potential biological and ecological effects of flickering artificial light. PLoS ONE 9(5): e98631. Table 3. doi.org/10.1371/journal.pone.0098631
  11. Lafitte A, Sordello R, Legrand M, Nicolas V, Obein G, Reyjol Y. 2022. A flashing light may not be that flashy: A systematic review on critical fusion frequencies. PLoS ONE 17(12): e0279718. S10 File (CFF database). doi.org/10.1371/journal.pone.0279718
  12. Healy K, McNally L, Ruxton GD, Cooper N, Jackson AL. 2013. Metabolic rate and body size are linked with perception of temporal information. Animal Behaviour 86:685-696. Table 1. doi.org/10.1016/j.anbehav.2013.06.018

Every value cites its sources (all sources). Data: catalogue-v1, built 2026-09-29. Accuracy notes: how accurate is this?