Jeremy Nathans Created 2026-10-20 Updated 2026-11-05
A researcher who coauthored the cloning and comparison of genes encoding human visual pigments. Relating their sequences helped connect molecular variation to the different spectral sensitivities underlying colour vision.[ref]
Individual differences show that color vision depends on receptor signals, their neural interpretation and the task used to measure them. They provide natural perturbations of the system, but differences in genes, matching, discrimination, naming and subjective appearance must not be treated as interchangeable.
A useful starting point is the principle of univariance. For a cone cell class , a simplified receptor quantum catch is , where is the incident photon distribution, including optical filtering, and is effective absorptance. One receptor's absorption count does not uniquely identify wavelength: increasing intensity can compensate for a change in spectral sensitivity. Comparing classes supplies spectral information. With three classes, distinct spectra can satisfy three equal-catch constraints and therefore be metamers. This is information loss: if a spectrum is represented by more than three independent wavelength bins, its three-channel sampling matrix has a nontrivial kernel. Around a strictly positive spectrum, sufficiently small changes along that kernel preserve nonnegative stimulus values and all three catches. Thus the observer, not wavelength alone, defines a color match. With luminance fixed, three independent receptor coordinates leave at most two independent chromatic coordinates.
Inherited differences test that account. Dichromacy removes one independent class of cone input; anomalous trichromacy retains three classes but with altered spectral separation, often weakening particular discriminations. L and M are overlapping long- and middle-wave sensitivities, not detectors that individually label light “red” and “green.” Molecular work by Jeremy Nathans and colleagues identified cone pigment genes, then related inherited red–green variation to changes in the corresponding gene arrays.[ref]
Molecular genetics of human color vision: the genes encoding blue, green, and red pigments by Jeremy Nathans and others. Science 232, pp. 193–202, pigment-gene identification
[ref]Molecular Genetics of Inherited Variation in Human Color Vision by Jeremy Nathans and others. Science 232, pp. 203–210, genotype–phenotype comparison
The important inference is a relation between biological variation and available spectral signals, not a claim that all observers with one label have identical vision.A Rayleigh color match makes that inference measurable. An observer adjusts a mixture of two narrowband lights to match a comparison light, with brightness adjusted separately. The accepted mixture and matching range constrain pigment sensitivities and discriminability. A color discrimination task instead measures whether two stimuli can be distinguished, ideally with luminance cues controlled and a fitted psychometric function. Plate tests and everyday color names are less specific: learned labels or a brightness difference can support a correct response without normal chromatic discrimination. Conversely, reduced discrimination does not imply a world without color.
Individual differences also reveal compensation. Heidi Hofer and colleagues used adaptive optics retinal imaging with selective pigment bleaching and retinal densitometry to classify cone cells in living eyes. In their small sample, men passing normal color-vision tests had L:M cone ratios spanning approximately 1.1:1 to 16.5:1; the paper's corrected abstract supplies the lower value. The ratio was not fixed even within the normal category.[ref]
Organization of the Human Trichromatic Cone Mosaic by Heidi Hofer and others. Methods and abstract, eight observers; corrected L:M ratio; J Neurosci 25, pp. 9669–9679
This rules out a simple requirement for one universal cone proportion. For example, opponent color processing could compare gain-adjusted cone signals rather than raw cell counts. It is compatible with post-receptoral gain adjustment and chromatic adaptation, but normal test scores do not prove identical subjective experiences or one uniquely identified compensatory mechanism.A stronger question is whether more receptor classes create more perceptual dimensions. Heterozygous carriers of certain X-linked pigment variants can, through X-chromosome inactivation, have a retina containing more than three spectrally distinct cone types. Yet four types need not supply four functionally independent signals to behavior. Gabriele Jordan and colleagues combined forced-choice matching, multidimensional scaling and genetic analysis. One of 24 obligate carriers of deuteranomaly showed behavior consistent with tetrachromacy across their tests; most did not.[ref]
The dimensionality of color vision in carriers of anomalous trichromacy by Gabriele Jordan and others. Abstract and behavioral/genetic tests, J Vis 10(8):12
This distinction between potential and demonstrated extra dimensionality is crucial. The selected sample cannot establish population prevalence, and additional opsin variants alone cannot establish enhanced discrimination or richer experience.Finally, optical and experiential differences must be controlled. Lens and macular filtering change the spectrum reaching the cone cells; age, adaptation, illumination and task learning can therefore mimic or modify receptor differences. Repeated measurements should separate within-person variability from stable between-person variation. Matching should be compared with discrimination, naming and appearance judgments rather than assuming that one measures all the others. Color naming can change without changing the receptor information; matching can change without entailing a particular verbal category.
The strongest conclusions arise when genetics, retinal measurements and controlled behavior converge. Variation establishes both the constraints imposed by receptor sampling and the flexibility of later processing; it does not directly disclose another person's color qualia.
Sensory genetics shows that evolution can change receptor molecules, their expression and neural organization, and that the relation between genes and perception is neither one-to-one nor confined to protein-coding mutations. Genetic architecture concerns the number, effects, interactions and arrangement of contributing variants in a specified population and environment. Identifying a receptor is one achievement; explaining variation in sensory performance, its development and its evolutionary consequences requires several additional steps.
A foundational result is that a large sensory repertoire can arise by gene duplication followed by divergence. Cloning of human visual-pigment genes revealed related but distinct short-, medium- and long-wavelength-sensitive pigments, with particularly close sequence similarity between the latter two. [ref]
Molecular genetics of human color vision: the genes encoding blue, green, and red pigments by Jeremy Nathans and others. Science 232, pp. 193–202; cloned visual-pigment genes and sequence comparisons
This links colour vision to a history of related opsins, rather than requiring a wholly new biochemical mechanism for every sensitivity. However, additional gene copies need not produce additional functional sensory channels: copies can be lost, expressed together, or differ too little in sensitivity to support useful discrimination.The distinction follows from the physics of receptor stimulation. In a simplified model, input to receptor class is proportional to:where is the light spectrum reaching the eye and its effective spectral sensitivity. Different spectra can produce the same , so a single receptor cannot independently determine wavelength and intensity. Comparing multiple receptor classes allows more information, but the animal also needs suitable neural circuits, a decision process and an appropriate task. Thus an opsin sequence is not a complete description of a perceived colour, and a colour vision test must vary brightness to prevent intensity from supplying the answer.
Regulatory differences can be as important as changes in the receptor sequence. Crosses between cichlid species expressing different opsin combinations identified relatively few regions contributing to expression differences, including both cis-regulatory elements and trans-regulation. [ref]
Genetic basis of differential opsin gene expression in cichlid fishes by Karen L. Carleton and others. Journal of Evolutionary Biology 23, pp. 840–853; crosses and cis- and trans-acting regulatory regions
The same inherited receptor repertoire can therefore support different visual sensitivities through deployment of different members. A trans-acting regulator can coordinate several genes, whereas a local regulatory change can alter a more restricted expression pattern. These are mechanistic possibilities, not a rule that cis changes are always specific or trans changes always costly. Developmental stage and light exposure also matter, so comparisons need common rearing, matched ages and measurements beyond a single transcript sample.Experimental addition of a receptor can test whether downstream processing can use the new input. Adding a human long-wavelength opsin to adult dichromatic Saimiri sciureus produced new colour-discrimination performance. [ref]
Gene therapy for red-green colour blindness in adult primates by Katherine Mancuso and others. Nature 461, pp. 784–787; adult squirrel monkeys, added L opsin and colour discrimination
The result challenges the assumption that a new sensory channel always requires a matching circuit assembled only in early development. It does not imply that every sensory deficit can be corrected this way or that the monkeys' subjective experience became identical to a human's. Stable pre-intervention performance, tests across chromatic directions and controls against brightness cues make the inference stronger than expression of the introduced gene alone.Olfaction reveals a related architecture at a larger receptor repertoire. Molecular cloning identified a very large family of candidate olfactory receptor genes with expression in olfactory tissue. [ref]
A novel multigene family may encode odorant receptors: a molecular basis for odor recognition by Linda B. Buck and others. Cell 65, pp. 175–187; cloning a large receptor gene family from olfactory tissue
This supplies diversity of molecular recognition, but it does not imply one gene for every odour or one receptor for every behavioural response. Odour mixtures and concentrations can engage overlapping inputs, and the same sensory input can acquire different significance through context and learning. Establishing receptor function requires physiological responses to defined stimuli, appropriate expression controls and comparison with cells lacking the receptor.genes also help organize the neural map receiving those inputs. Labelling mouse neurons expressing a particular receptor showed convergence at characteristic locations in the olfactory bulb. Receptor-swap experiments changed targeting, indicating a contribution of receptor identity to axon guidance. [ref]
Visualizing an Olfactory Sensory Map by Peter Mombaerts and others. Cell 87, pp. 675–686; labelled receptor-expressing neurons and receptor-swap experiments
The receptor was not the sole determinant: the resulting projection was not simply an arbitrary map wholly specified by the substituted molecule. This connects molecular recognition with neural development and illustrates pleiotropy, while leaving room for other guidance mechanisms and activity-dependent refinement. A gene can influence the wiring through which its own sensory signal will be interpreted.Sensory loss likewise need not mean simple destruction of a receptor gene. In cave populations of Astyanax mexicanus, increased embryonic Hedgehog signalling was associated with lens apoptosis and arrested eye development; experimental overexpression in surface fish reproduced important elements of the phenotype. [ref]
Hedgehog signalling controls eye degeneration in blind cavefish by Yoshiyuki Yamamoto and others. Nature 431, pp. 844–847; midline expression, lens apoptosis and experimental overexpression
Manipulating a developmental pathway therefore provides causal evidence beyond observing an association between cave residence and blindness. It does not identify every naturally selected causal variant, prove that eye reduction was directly favoured rather than indirectly associated with other traits, or establish the same mechanism in all cave populations. Developmental competence and the adult phenotype can differ substantially.These findings also connect sensory genetics with speciation. In Lake Victoria cichlids, differences in the light environment, visual pigments, mating signals and preference were associated with reproductive differentiation. [ref]
Speciation through sensory drive in cichlid fish by Ole Seehausen and others. Nature 455, pp. 620–626; light gradients, visual pigments, colours and preferences
The connection is that selection on obtaining information can change the relative effectiveness of signals; it is not a claim that every opsin variant is an isolating barrier. One must separately establish expression, sensitivity, preference and reproductive consequences.Several general methodological lessons follow. A quantitative trait locus is an interval associated with variation, not automatically the causal gene. A large detected effect does not exclude many small effects, and laboratory crosses may sample only a subset of natural variants. Fine mapping, allele replacement, reciprocal genetic backgrounds, a genetic rescue experiment and neural or behavioural measurements can connect successive causal steps. Pleiotropy, genetic linkage and environmental covariance require different explanations even when all produce correlated sensory traits. Conversely, absence of segregating variation in one laboratory stock says little about all evolutionary routes available to a lineage.
Sensory systems can evolve through changes in molecular recognition, gene regulation, developmental organization and use of existing circuitry. Their genetic architecture both enables and constrains these routes, while functional experiments are needed to connect a genomic difference to an animal's sensory performance.