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How does the bigscale deep-sea smelt see?

The bigscale deep-sea smelt (Melanolagus bericoides) is a fish in the order Osmeriformes. Its eyes belong to the vision type Shallow-water fish tetrachromat.

Measured in this species: colour and 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 bigscale deep-sea smelt (Melanolagus bericoides), catalogue-v1
DialValueEvidenceSources
ColourColour receptors
2 receptor classes: 464 nm (SWS (blue)), 500 nm (MWS (green))
measured in this species
Measured (not re-verified)[1]
SharpnessAcuity
5 cycles per degree
median of 1 optical rows (method priority rule)
Measured[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
group default: mode of tier-A values in vision type V18 within phylum Chordata (2 species: Toxotes jaculatrix, Anableps anableps)
Group default[4][5]
Fovea type
ventrotemporal area (high rgc density)
Group default[4][5]
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[6][7]
Rods vs cones
cone-dominated
Group default[6][7]
Motion (flicker fusion)Flicker fusion frequency
50 Hz
group default: median of tier-A values in vision type V18 within phylum Chordata (45 species: Carassius auratus, Danio rerio, Poecilia reticulata, Oncorhynchus mykiss, Acanthochromis polyacanthus, Anguilla anguilla)
Group default[8][9][10][11][12][13][14]

Related animals

More fish: all fish with measured vision data.

Sources

  1. Murphy MJ, Westerman EL. 2022. Evolutionary history limits species' ability to match colour sensitivity to available habitat light. Proc R Soc B 289:20220612. Electronic supplementary Table S1. doi.org/10.1098/rspb.2022.0612
  2. Caves EM, Sutton TT, Johnsen S (2017) Visual acuity in ray-finned fishes correlates with eye size and habitat. J Exp Biol 220:1586-1596. Table S1.. doi.org/10.1242/jeb.151183
  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:Schwab et al. 2001
  5. species_v1:Temple et al. 2010
  6. Froese R. & Pauly D. (eds). FishBase, snapshot v25.04 (morphmet, morphdat, species, families tables), distributed as parquet by C. Boettiger for rfishbase.. fishbase.org
  7. 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
  8. Horodysky A, Brill R, Crawford K et al. (2013) Comparative visual ecophysiology of mid-Atlantic temperate reef fishes. Biology Open
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. species_v1:Patterson et al. 2002 (via Lafitte et al. 2022)

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