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“Tho’ she kneel’d in that place where they grew…” The uses and origins of primate colour vision
Abstract
The disabilities experienced by colour-blind people show us the biological advantages of colour vision in detecting targets, in segregating the visual field and in identifying particular objects or states. Human dichromats have especial difficulty in detecting coloured fruit against dappled foliage that varies randomly in luminosity; it is suggested that yellow and orange tropical fruits have co-evolved with the trichromatic colour vision of Old World monkeys. It is argued that the colour vision of man and of the Old World monkeys depends on two subsystems that remain parallel and independent at early stages of the visual pathway. The primordial subsystem, which is shared with most mammals, depends on a comparison of the rates of quantum catch in the short-and middle-wave cones; this system exists almost exclusively for colour vision, although the chromatic signals carry with them a local sign that allows them to sustain several of the functions of spatiochromatic vision. The second subsystem arose from the phylogenetically recent duplication of a gene on the X-chromosome, and depends on a comparison of the rates of quantum catch in the long-and middle-wave receptors. At the early stages of the visual pathway, this chromatic information is carried by a channel that is also sensitive to spatial contrast. The New World monkeys have taken a different route to trichromacy: in species that are basically dichromatic, heterozygous females gain trichromacy as a result of X-chromosome inactivation, which ensures that different photopigments are expressed in two subsets of retinal photoreceptor.
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Citations
Cited by
Dacey, D. M., & Lee, B. B. (1994) · Nature · doi:10.1038/367731a0 · Cited by 582
A review of the evolution of animal colour vision and visual communication signals
Osorio, D., & Vorobyev, M. (2008) · Vision Research · doi:10.1016/j.visres.2008.06.018 · Cited by 401
The genetics of normal and defective color vision
Neitz, J., & Neitz, M. (2011) · Vision Research · doi:10.1016/j.visres.2010.12.002 · Cited by 377
Visual specialization and brain evolution in primates
Barton, R. A. (1998) · Proceedings of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rspb.1998.0523 · Cited by 301
Evolution of colour vision in vertebrates
Bowmaker, J. K. (1998) · Eye · doi:10.1038/eye.1998.143 · Cited by 239
Evolution and spectral tuning of visual pigments in birds and mammals
Hunt, D. M., Carvalho, L. S., Cowing, J. A., & Davies, W. L. (2009) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0044 · Cited by 234
Emergence of novel color vision in mice engineered to express a human cone photopigment
Jacobs, G. H., Williams, G. A., Cahill, H., & Nathans, J. (2007) · Science · doi:10.1126/science.1138838 · Cited by 174
Visual color perception in green exercise: positive effects on mood and perceived exertion
Akers, A., Barton, J., Cossey, R., Gainsford, P., Griffin, M., & Micklewright, D. (2012) · Environmental Science & Technology · doi:10.1021/es301685g · Cited by 161
A study of women heterozygous for colour deficiencies
Jordan, G., & Mollon, J. D. (1993) · Vision Research · doi:10.1016/0042-6989(93)90143-k · Cited by 91
Self-citationSmallwood, P. M., Ölveczky, B. P., Williams, G. L., Jacobs, G. H., Reese, B. E., Meister, M., & Nathans, J. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1934712100 · Cited by 89
Trichromatic color vision with only two spectrally distinct photopigments
Neitz, J., Neitz, M., He, J. C., & Shevell, S. K. (1999) · Nature Neuroscience · doi:10.1038/13185 · Cited by 64
Genetic basis of polymorphism in the color vision of platyrrhine monkeys
Jacobs, G. H., Neitz, J., & Neitz, M. (1993) · Vision Research · doi:10.1016/0042-6989(93)90083-9 · Cited by 61
Variations in normal color vision I. Cone-opponent axes
Webster, M. A., Miyahara, E., Malkoc, G., & Raker, V. E. (2000) · Journal of the Optical Society of America A · doi:10.1364/josaa.17.001535 · Cited by 52
ROWE, M. P., & JACOBS, G. H. (2007) · Visual Neuroscience · doi:10.1017/s0952523807230159 · Cited by 14
Metadata
- Authors
- Mollon, J. D.
- Venue
- Journal of Experimental Biology
- Publisher
- The Company of Biologists
- Published
- 1989-09-01
- Volume
- 146
- Issue
- 1
- Pages
- 21-38
- ISSN
- 0022-0949 (ISSN-L)
- 1477-9145
- OpenAlex
- W2121370563
- Cited by
- 571
- References
- 0
- FWCI
- 1.73
- Type
- journal article
- Language
- en
- Open access
- closed
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