Structural colouration of mammalian skin: convergent evolution of coherently scattering dermal collagen arrays
1 Department of Ecology and Evolutionary Biology, and Peabody Museum of
Natural History, Yale University, PO Box 208105, New Haven, CT 06520,
USA
2 Department of Mathematics, University of Kansas, Lawrence, KS 66045,
USA
* Author for correspondence (e-mail: richard.prum{at}yale.edu)
Accepted 15 March 2004
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Summary |
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Key words: structural colour, mammal, blue, skin, collagen, coherent scattering, Rayleigh scattering, Tyndall scattering, 2-D photonic crystal
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Introduction |
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The physical mechanisms of structural colour production are often described
as being diverse (Fox, 1976;
Nassau, 1983
;
Parker, 1999
;
Srinivasarao, 1999
). However,
most mechanisms of structural colour production can be well understood as
consequences of light scattering at the interfaces of materials that differ in
refractive index (for an exception in insect cuticle, see
Neville and Caveney, 1969
).
Light-scattering mechanisms can be classified as either incoherent or coherent
(Bohren and Huffman, 1983
).
Incoherent scattering is the differential scattering of light wavelengths by
individual scatterers and is determined by the size, shape and refractive
index without regard to the phase relationships among multiple waves scattered
by different objects (Bohren and Huffman,
1983
). By contrast, coherent scattering is differential scattering
of light wavelengths from multiple objects and is determined by the phases of
the scattered light waves (Prum and Torres,
2003a
,b
).
Rayleigh scattering (also known as Tyndall scattering; see
Young, 1982) is an incoherent
scattering mechanism that predicts the production of short-wavelength hues
blue, violet, and ultraviolet by diffuse, cloudy media or
colloids. Coherent scattering can produce biological colours with a wide
variety of different structures including thin films, crystal-like arrays and
diffraction gratings. Unlike incoherent Rayleigh scattering, coherent
scattering often produces the phenomenon of iridescence change in hue
with angle of observation or illumination because changes in angle of
observation and illumination may affect the phase relationships among the
scattered waves that determine the hue (Prum and Torres,
2003a
,b
).
Consequently, since Mason
(1923
), iridescence has often
been inaccurately synonymized with coherent scattering, and all noniridescent
blue structural colours have been erroneously ascribed to incoherent Rayleigh
or Tyndall scattering (Fox,
1976
; Nassau,
1983
; Lee, 1991
,
1997
;
Herring, 1994
).
Although it is correct that iridescent biological structural colours are
produced exclusively by coherent scattering, we have demonstrated that a
previously unappreciated class of nanostructural organization
quasi-ordered arrays can produce noniridescent biological structural
colours by coherent scattering alone (Prum et al.,
1998,
1999a
,b
,
2003
; Prum and Torres,
2003a
,b
).
Quasi-ordered arrays have the unimodal distributions of scatterer size and
spacing that can produce coherent scattering but that lack the laminar or
crystal-like spatial organization at larger spatial scales that produces
iridescence. We have identified coherently scattering quasi-ordered arrays in
the spongy medullary keratin of structurally coloured feather barbs (Prum et
al., 1998
,
1999b
,
2003
) and the dermal collagen
arrays (Prum et al., 1999a
;
Prum and Torres, 2003a
) of
various avian clades.
In order to analyze colour production by quasi-ordered tissues and the
evolution of colour-producing arrays among the quasi-ordered, crystal-like and
laminar organizations, we have developed a tool that uses the two-dimensional
(2-D) Fourier transform of transmission electron micrographs of the
colour-producing biological structures to characterize the periodicity of
spatial variation in refractive index in these materials (Prum et al.,
1998,
1999a
,b
;
Prum and Torres,
2003a
,b
).
The Fourier methods can test the fundamental incoherent scattering assumption
of scatterer spatial independence and predict the reflectance spectrum
produced by coherent light scattering from these arrays.
Recently, new photonic methods have begun to be applied to the study of
biological structural colour production
(Parker et al., 2001;
Li et al., 2003
;
Sundar et al., 2003
;
Vukusic, 2003
;
Vukusic and Sambles, 2003
). We
conclude with a discussion of colour-producing collagen arrays as
two-dimensional photonic crystals and a comparison between photonic methods
and the Fourier method applied here.
Structural colour production in mammals
In contrast with invertebrates and other vertebrate classes, integumentary
structural colouration is rare in mammals
(Fox, 1976). In all, violet,
blue or green skin is known from only a few genera in the orders of marsupials
and primates (Fig. 1). For over
100 years, with rare exception, the structural colours in the skin of mammals
have been attributed to Rayleigh or Tyndall scattering
(Camichel and Mandoul, 1901
;
Hill, 1970
;
Fox, 1976
;
Price et al., 1976
;
Nassau, 1983
;
Rees and Flanagan, 1999
;
Reisfeld, 2000
). Findlay
(1970
) criticized the Tyndall
scattering hypothesis but proposed a vague and physically inexplicit
alternative. Oettlé
(1958
), however, hypothesized
explicitly that the vivid blue colour of the scrotum of the vervet monkey
(Cercopithecus aethiops) is produced by coherent scattering (i.e.
constructive interference) by dermal collagen. Using a series of elegant light
microscope observations, Oettlé documented that expanding the blue
scrotum tissue with formic acid and heat resulted in a shift in the colour to
longer, reddish wavelengths. Oettlé's observation provided strong
evidence for coherent scattering, but his ground-breaking paper has not been
broadly cited.
|
To our knowledge, Price et al.
(1976) is the only previous
publication to use transmission electron microscopy (TEM) to examine
structurally coloured mammal skin. However, Price et al.
(1976
) focused on the
distribution of melanin in the skin and did not examine the nanostructure of
the dermal collagen. They concluded that the blue hue of the scrotum of C.
aethiops was produced by Tyndall scattering above a layer of melanocytes
(Price et al., 1976
).
We used fibre-optic spectrophotometry, light microscope histology,
transmission electron microscopy (TEM) and 2-D Fourier analysis of TEM images
to investigate structurally coloured skin from four species of mammals: the
mandrill, Mandrillus sphinx, and the vervet monkey, C.
aethiops (Cercopithecidae; Primates); and the mouse opossum, Marmosa
mexicana, and the wooly opossum, Caluromys derbianus
(Didelphidae; Marsupialia). We found that structural colours of mammal skin
are produced by coherent scattering from quasi-ordered arrays of dermal
collagen fibres. These arrays are exactly convergent with colour-producing
collagen that has evolved numerous independent times in the skin of birds
(Prum and Torres, 2003a), in
the tapetum fibrosum of the sheep eye
(Bellairs et al., 1975
) and in
the iridescent corneal stroma of certain fishes
(Lythgoe, 1974
).
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Materials and methods |
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Specimens of Mandrillus and the pearly blue specimen of Cercopithecus were fixed in 2.5% glutaraldehyde or in Karnovsky's fixative (2.5% glutaraldehyde, 2.5% paraformaldehyde) for 12 h and then stored in cacodylate buffer. The first specimen of vividly blue scrotum from C. a. pygerythrus was frozen for several months before fixation in 2.5% glutaraldehyde. The Marmosa specimens were fixed and stored in 10% formalin, and the Caluromys specimen was fixed originally in 70% ethanol. The marsupial specimens were fixed again in Karnovsky's fixative for 2 h at 4°C before microscopy but were not sufficiently well preserved for numerical analysis of collagen nanostructure.
The reflectance spectra of all Mandrillus specimens and the pearly
blue Cercopithecus specimen were measured using an Ocean Optics S2000
fibre optic diode array spectrometer with an Ocean Optics PX-2 pulsed xenon
light source (Ocean Optics, Dunedin, FL, USA). This spectrometer produces 2048
reflectance data points between 160 nm and 865 nm (or 1520 data points between
300 nm and 800 nm) with an average error of 0.14 nm. Measurements were made
with perpendicularly incident light from 6 mm away, producing an illuminated
field of approximately 3 mm2 with 100500 ms summation time.
A Spectralon diffuse reference standard from Ocean Optics was used as a white
standard, and the ambient light of a darkened room was used as a dark
reference. Percent reflectance was calculated in a standard fashion
(Prum et al., 1999a).
Reflectance spectra were recorded from the bluest available portion of each
specimen. The vividly blue C. a. pygerythrus scrotum specimen was
received before the reflectance spectrophotometry was available in our lab,
and no measurements were made. However, reflectance spectra for this
subspecies are reported by Findlay
(1953
,
1970
) (see
Table 1, Fig. 7H). The specimens of
Marmosa and Caluromys did not preserve any visible or
measurable colour and were not measured.
|
For light microscopy, samples of all species were embedded in paraffin, cut
into 10 µm sections and stained with Masson's trichrome, which includes the
collagen-specific stain fast-green. For TEM, skin samples were post-fixed in
24% osmium tetroxide for 1.5 h. They were then stained with 2% aqueous
uranyl acetate for 1 h. Tissue pieces were then dehydrated through an ethanol
series and embedded in Eponate 12. They were sectioned with a diamond knife to
100 nm thick. Specimens were viewed with a JEOL EXII transmission
electron microscope. TEM micrographs were taken with Polaroid negative film or
were digitally captured using a Soft-Imaging Megaview II CCD camera
(1024x1200 pixels). Numerical analyses were conducted directly on the
digital images or on the photograph negatives after scanning at 300 dpi.
2-D Fourier analysis
Coherent scattering of visible wavelengths is a consequence of nanoscale
spatial periodicity in refractive index of a tissue. Following a theory of
corneal transparency by Benedek
(1971), we have developed an
application of the discrete Fourier 2-D transform to analyze the periodicity
and optical properties of structural coloured tissue. Discrete Fourier
analysis transforms a sample of data points into an equivalent sum of
component sine waves of different frequencies and amplitudes
(Briggs and Henson, 1995
). The
amplitudes of the Fourier component waves express the relative contribution of
that frequency of variation to the periodicity of the original data. The
variation in the squared amplitudes over all Fourier components is called the
Fourier power spectrum. The relative values of the different Fourier
components in the power spectrum express the comparative contribution of those
spatial frequencies of variation to the original function. This application of
Fourier analysis is derived independently from electromagnetic optical theory
(Benedek, 1971
) and is distinct
from the traditional physical field of `Fourier optics', although they both
describe coherence among light waves.
The digital or digitized TEM images were analyzed using the matrix algebra
program MATLAB (version 6.2;
www.mathworks.com)
on a Macintosh computer. The scale of each image (nm pixel1)
was calculated from the number of pixels in the scale bar of the micrograph.
The largest available square portion of each array was selected for analysis;
for most images this area was 1024 pixels2. The average refractive
index of each tissue was estimated by generating a two-partition histogram of
image darkness (i.e. the distribution of darker and lighter pixels). The
frequency distribution of darker and lighter pixels was used to estimate the
relative frequency of collagen and mucopolysaccharide in the image and to
calculate a weighted average refractive index for the tissue. Previously, we
have used estimates of the refractive indices of collagen and the
mucopolysaccharide matrix between collagen fibres of 1.51 and 1.35,
respectively (Prum et al.,
1994,
1999a
), taken from Maurice
(1984
). Recently, however,
more refined methods have estimated the refractive indices of collagen as 1.42
and mucopolysaccharide as 1.35 (Leonard
and Meek, 1997
; Prum and
Torres, 2003a
).
The numerical computation of the Fourier transform was done with the
well-established 2-D fast Fourier transform (FFT2) algorithm
(Briggs and Henson, 1995). We
calculated the 2-D Fourier power spectrum, or the distribution of the squares
of the Fourier coefficients. The 2-D Fourier power spectrum resolves the
spatial variation in refractive index in the tissue into its periodic
components in any direction from a given point
(Fig. 5). The 2-D Fourier power
spectra are expressed in spatial frequency (nm1) by dividing
the initial spatial frequency values by the length of the matrix (pixels in
the matrix multiplied by nm pixel1). Each value in the 2-D
power spectrum reports the magnitude of the periodicity in the original data
of a specific spatial frequency in a given direction from all points in the
original image. The spatial frequency and direction of any component in the
power spectrum are given by the length and direction, respectively, of a
vector from the origin to that point. The magnitude is depicted by the colour
(from blue to red), but the units are dimensionless values related to the
total darkness of the original digital images.
|
We calculated radial average power distributions from the power spectra using 100 spatial frequency bins, or annuli, between 0 and 0.02 nm1 and normalized to % total Fourier power (Fig. 6). Composite radial average power distributions were calculated from a sample of power spectra from multiple TEM images to provide an indication of the predominant spatial frequency of variation in refractive index in the tissue over all directions (Table 1; Fig. 6).
|
We also produced predicted reflectance spectra based on the 2-D Fourier power spectra, image scales and average refractive indices (Fig. 7). First, a radial average of the power spectrum was calculated using concentric radial bins, or annuli, corresponding to fifty 10 nm-wide wavelength intervals between 300 and 800 nm. The radial average power values were expressed in % visible Fourier power by normalizing the total power values across all potentially visible spatial frequencies (i.e. potentially scattering light between 300 and 800 nm) to 1. The inverse of the spatial frequency averages for each wavelength were then multiplied by twice the average refractive index of the medium and expressed in terms of wavelength (nm). A few images depict oblique, elliptical sections of the cylindrical collagen fibres, which will bias the predicted hue toward longer wavelengths. In these cases, the radial average was calculated from a single quadrant or from a custom radial section of the power spectrum that lacked the elliptical distortion. Composite predicted reflectance spectra for each tissue were produced by averaging the normalized predicted spectra from a sample of TEM images (Fig. 7). The result is a theoretical prediction of the relative magnitude of coherent light scattering by the tissue that is based entirely on the spatial variation in refractive index of the tissue (Fig. 7; Table 1).
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Results |
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Colour and spectrophotometry
Reflectance spectra of the skin samples revealed bright blue colours with
distinct peak hues (Fig. 3).
The reflectance peaks varied from 378 to 385 nm for male Mandrillus
rump skin, 458 to 467 nm for male Mandrillus facial skin, 490 to 491
nm for female Mandrillus facial skin and 506 nm for the pearly blue
C. a. sabaeus scrotum (Fig.
3). The reflectance spectrum of the vividly blue scrotum skin of
C. a. pygerythrus was not measured here, but a scrotum reflectance
spectrum from the same subspecies has been published by Findlay
(1953,
1970
) and shows a unimodal
peak of 35% reflectance at approximately 475 nm
(Fig. 7H). The scrotum skin of
Marmosa and Caluromys were not sufficiently well fixed to
preserve any measurable colour, but both species were medium blue at the time
they were collected.
|
The blue colour of male Mandrillus facial skin was apparently more brilliant (40% peak reflectance) and saturated (purer in hue) than in female Mandrillus facial skin, which showed lower peak reflectance (1222%) and substantial reflectance of longer wavelengths (i.e. less saturated in colour) (Fig. 3A,B,E,F).
Nanostructure
The colour-producing dermis of Mandrillus, Cercopithecus, Marmosa
and Caluromys was composed of abundant parallel collagen fibres
(Fig. 4). These collagen fibres
form quasi-ordered arrays that are characterized by normal distribution of
fibre diameters and nearest neighbour distances but that lack periodicity at
larger spatial scales (Fig. 4).
The Caluromys tissue examined was not sufficiently well fixed to
preserve many of the details of collagen nanostructure.
|
Fourier analyses
The 2-D Fourier power spectra of TEMs of cross-sections of the
colour-producing dermal collagen arrays from Mandrillus and
Cercopithecus revealed ring-shaped distributions of high-power values
at intermediate spatial frequencies (Fig.
5). These ring-shaped power distributions indicate that the
collagen arrays are substantially nanostructured at intermediate spatial
frequencies and are not randomly distributed in space as assumed by incoherent
scattering models. The ring-shaped distributions of high Fourier power values
also demonstrate that these collagen arrays are equivalently nanostructured in
all directions perpendicular to the fibres, which constitutes the
quasi-ordered type of organization that will produce a noniridescent
structural colour by coherent scattering (Prum et al.,
1998,
1999a
,b
;
Prum and Torres,
2003a
,b
).
Radial averages of the power spectra of the TEMs of Mandrillus and
Cercopithecus indicate peak spatial frequencies in refractive index
variation that are appropriate for producing visible colours
(Fig. 6;
Table 1). These peak spatial
frequencies correspond to modal distance between neighbouring collagen fibre
centres of between 127 and 182 nm in Mandrillus and between 170 and
233 nm in Cercopithecus (Table
1).
The predicted reflectance spectra based on radial averages of the Fourier power spectra and the average refractive index of these extracellular collagen arrays were closely congruent with the measured reflectance spectra for most samples of Mandrillus face and rump skin (Fig. 7; Table 1). For five of six Mandrillus samples, the error between the measured and the predicted peak reflectance varied between 3 and 37 nm, but one sample of female Mandrillus facial skin (A21) had a predicted peak reflectance of 360 nm, or 131 nm below the measured reflectance of 491 nm (Fig. 7F; Table 1). However, the predicted peak was quite close to the secondary peak of the reflectance spectrum of this specimen at 374 nm, within 14 nm (Fig. 7F).
We have not established the mechanism determining the secondary peak in
some Mandrillus reflectance spectra. Each peak could be produced by a
class of appropriately sized collagen arrays, and the relative size of the two
peaks could be produced by the relative abundance of the two spatial classes.
Thus, the male Mandrillus rump reflectance could be produced
predominantly or exclusively by the smaller spatial class
(Fig. 7D), and the male
Mandrillus facial colour could be produced predominantly by the
larger spatial class. Some samples of TEM images appear to have sampled only
the smaller (Fig. 7D,F) or the
larger (Fig. 7B) spatial class,
giving rise to errors in predicting the shape of the reflectance spectra.
Alternatively, the reduced reflectance at 400 nm could be caused by
absorption by an unknown material (Prum
and Torres, 2003a
).
In Cercopithecus, the vividly blue sample predicted a unimodal
reflectance spectrum at 400 nm with a peak that was 75 nm below a
previously published reflectance spectrum of the scrotum of this subspecies of
475 nm (Fig. 7H;
Table 1; Findlay,
1953
,
1970
). However, the
reflectance spectrum predicted for the pearly blue Cercopithecus
scrotum sample featured broad reflectance above 500 nm, which was not
congruent with measured reflectance of this specimen
(Fig. 7G). However, the
`pearly' quality of the colour of this specimen to the eye indicates that it
may have had some longer wavelength yellowish reflections. In making the
reflectance measurements, we focused on the most bluish areas, perhaps
creating a bias in the colour measurements that was not sampled by the TEM
observations.
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Discussion |
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The Fourier analyses of blue Mandrillus and Cercopithecus
skin also falsify the incoherent scattering hypotheses of colour production,
including Rayleigh, Tyndall and Mie scattering. The spatial variation in
refractive index in these arrays is not random over the spatial scale of
visible light, as assumed by incoherent scattering models. Rather, the
collagen arrays are highly nanostructured at precisely the spatial scale to
create coherently scattered visible colours. Furthermore, the reflectance
spectra of Mandrillus and Cercopithecus skin reveal peak
hues in the visible or near-ultraviolet wavelengths and not the exponentially
increasing reflectance into the ultraviolet that is predicted by the
Rayleigh's inverse fourth power law (Bohren
and Huffman, 1983).
Observations of the anatomy of the blue scrotum skin from Marmosa mexicana and Caluromys derbianus indicate that the same anatomy and physical mechanisms are responsible for structural colour production in these species, but the samples of these species were not sufficiently well preserved for quantitative analysis.
These analyses constitute the first demonstration of the physical mechanism
of structural colour production in mammalian skin. For over 100 years, the
structural colours of mammalian skin have been consistently attributed to
incoherent, Rayleigh or Tyndall scattering
(Camichel and Mandoul, 1901;
Hill, 1970
;
Fox, 1976
;
Price et al., 1976
;
Rees and Flanagan, 1999
;
Reisfeld, 2000
). This
hypothesis survived virtually unchallenged for a century in a nearly complete
absence of data because of the erroneous notion that all noniridescent, blue
structural colours were produced by Rayleigh or Tyndall scattering.
Oettlé (1958
) was alone
in proposing that the blue colour of the scrotum of C. aethiops is
produced by coherent scattering. Oettlé also correctly identified the
dermal collagen as the source of the colour. However, Oettlé
(1958
) did not test his
hypothesis with any electron microscopic observations of the nanostructure of
the tissue and published his observations in an obscure medical journal. To
our knowledge, Oettlé
(1958
) was cited only twice
(Findlay, 1953
;
Hill, 1970
), and his
ground-breaking results have not been followed up on until now. Price et al.
(1976
) subsequently used TEM
to describe the distribution of melanocytes in the blue scrotal dermis of
C. aethiops but erroneously concluded that the colour was produced by
Tyndall scattering from the tissue above the melanocytes.
Evolution of collagen arrays
Colour-producing dermal collagen arrays have evolved independently in the
marsupials and in the Old World primates (Cercopithecidae). Within the Old
World primates, structural colours are also found in close relatives of both
mandrill and vervet monkey, including on the face, genitals and rump of drill
(Mandrillus leucophaeus), on the face of moustached monkey
(Cercopithecus cephus) and red-bellied guenon (Cercopithecus
eyrthrogaster) and on the scrotum and perineal region of talapoin monkey
(Miopithecus talapoin), Patas' monkey (Erythrocebus patas),
owl-faced monkey (Cercopithecus hamlyni), Dryas' monkey
(Cercopithecus dryas), L'Hoest's monkey (Cercopithecus
lhoesti), sun-tailed monkey (Cercopithecus solatus), Pruess's
guenon (Cercopithecus pruessi) and diana monkey (Cercopithecus
diana) (Kingdon, 1974;
Gerald, 2001
).
Mandrillus and Cercopithecus are not hypothesized to be
phylogenetically most closely related among Old World primates
(Purvis, 1995
;
Page and Goodman, 2001
), so
there is a distinct likelihood that structurally coloured skin has evolved at
least twice within the Old World primates. In addition to the New World
didelphids Marmosa and Caluromys, blue scrotum skin is also
known from the Australian dasyurid Planigale maculata (J. Kirsh,
personal communication). This phylogenetic distribution implies that
structurally coloured skin probably evolved two or more times in the
marsupials. A thorough, comparative, phylogenetic survey of the distribution
of structural colouration in marsupials and Old World primates is required to
determine how many times this feature has evolved independently in each
clade.
Interestingly, marsupials and Old World primates are the only two clades of
mammals that are known to have trichromatic colour vision. Most mammals are
dichromats with poor colour sensitivity
(Sumner and Mollon, 2003;
Surridge et al., 2003
).
Trichromatic colour vision in marsupials is reported from New World opossums
(Didelphidae; Freidman, 1967
)
and from Australian diprotodonts and polyprotodonts
(Arrese et al., 2002
). This
phylogenetically broad sample covers the entire diversity of the marsupials,
implying that a diverse group of marsupials has retained three of the four
colour visual pigments (along with oil droplets and double cones) that are
primitive to the vertebrates (Arrese et
al., 2002
). Trichromatic colour vision has reevolved in Old World
primates through the duplication and sequence divergence of the X-linked opsin
genes (Sumner and Mollon,
2003
; Surridge et al.,
2003
). A fascinating stable polymorphism in X-linked opsin genes
in some New World primates produces trichromacy in heterozygous females only
(Surridge et al., 2003
).
The evolution of structurally coloured skin only within mammalian lineages that have advanced, trichromatic colour vision supports the hypothesis that these integumentary colours function in intraspecific communication (see Function of mammalian structural colours).
Darwin (1871) concluded
that: "No other mammal is coloured in so extraordinary a manner as
the adult male mandrill", whose colours "compare with
those of the most brilliant birds." Indeed, his apt comparison
turns out to be anatomically, nanostructurally and physically accurate.
Identical colour-producing collagen arrays have evolved convergently in the
structurally coloured skin of many birds
(Prum et al., 1999a
;
Prum and Torres, 2003a
).
Structurally coloured collagen has also evolved in the fibrous tapetum lucidum
of the sheep eye (Bellairs et al.,
1975
) and in the iridescent corneal stroma of a variety of fishes
(Lythgoe, 1974
). Prum and
Torres (2003a
) hypothesized
that colour-producing collagen arrays have evolved frequently because collagen
has several intrinsic features that predispose it to evolve colour-producing
nanoperiodicity. Collagen occurs as an extracellular array of fibres with a
given diameter and interfibre spacing. Furthermore, collagen has a distinct
refractive index (1.42) from the mucopolysaccharide matrix between the fibres
(1.35). Colour-producing collagen arrays could evolve merely by specifying
more rigidly the appropriate fibre sizes and distances between fibres and by
producing enough fibres to create a visible colour. Also, the function of
collagen in stabilizing the skin and other structures can dictate that these
fibres tend to be parallel to the incident light and appropriately oriented to
produce visible reflections. Structurally coloured dermal collagen arrays have
probably evolved more frequently in birds than in mammals because colour
vision is ubiquitous in birds. Further, avian tetrachromatic visual systems
would be sensitive to a greater range of the incidental variations in collagen
nanostructure that could produce coherent scattering, creating more
opportunities for evolution of heritable optical variations in collagen
nanostructure.
The convergent evolution of coherently scattering dermal collagen arrays in
mammals and birds is also associated in both groups with the evolutionary loss
of dermal iridophores (Oliphant et al.,
1992). Iridophores are pigment cells that include purine or
pterine crystals that produce structural colours. Dermal iridophores are
primitively present in bony fishes, amphibians and reptiles but have been lost
in mammals and birds (Oliphant et al.,
1992
). Oliphant et al.
(1992
) hypothesized that the
evolution of hair and feathers, in mammals and birds, respectively, which
covered the skin entirely, consequently led to the loss of iridophore
expression in mammal and bird skin. Interestingly, some birds retain
structural colour-producing iridophores in the iris of their eyes
(Oliphant et al., 1992
).
Melanin and structural colour production
It has been frequently suggested that melanin plays a direct role in the
production of structural colours in mammalian skin
(Camichel and Mandoul, 1901;
Findlay, 1953
,
1970
;
Fox, 1976
;
Price et al., 1976
;
Rees and Flanagan, 1999
). Our
analyses demonstrate that the structural colours are actually produced by the
superficial collagen nanostructures above the typical layer of melanocytes.
The function of the underlying melanosomes is to absorb light waves that are
transmitted through the superficial colour-producing collagen. Without the
melanin layer, these transmitted waves could scatter incoherently from tissues
below that are not nanostructured to create saturated hues. This incoherent
reflection could create a bright, white background reflectance that would
obscure the more superficial structural colour. This function explains why
these dermal structural colours can disappear if the underlying melanin layer
is removed in either mammals (Findlay,
1970
) or birds (Hays and
Habermann, 1969
). Thus, melanin pigmentation does not function
directly in the production of these dermal structural colours, but melanin
pigmentation can have a critical function in the effective presentation and
saturation of these structural colours.
Substantial underlying melanin deposits were observed in
Cercopithecus and Marmosa and in Mandrillus rump
skin, but melanin deposition was absent from the Mandrillus facial
skin and limited in Caluromys. How can Mandrillus facial
skin and Caluromys scrotum produce a saturated structural colour
without underlying melanin? The only other way to overcome the problem of
incoherent white scattering from underlying tissues is to have so many
coherently scattering objects that essentially all of the incident light is
constructively reflected (Prum and Torres,
2003a). For perpendicularly incident light, reflectance (or the
proportion of ambient light scattered at a single interface between two
materials of different refractive indices) is calculated by the Fresnel
equation to be:
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As one would predict from this relationship, the colour-producing collagen
layer in male Mandrillus facial skin, which lacks melanin deposition,
is nearly twice as thick 1500 µm) as that in Mandrillus rump
skin (800 µm), which has a solid melanin layer
(Fig. 2A,B;
Table 1). With 1500 µm of
nanostructured collagen and approximately 150 nm between neighbouring fibre
centres (the average of Mandrillus facial skin;
Table 1), Mandrillus
facial skin may be as many as 10 000 coherently scattering collagen fibres
thick. This number of arrays should produce a saturated structural colour with
a very low-R material. Prum and Torres
(2003a
) documented an
anatomically similar situation in the bare-throated bellbird, Procnias
nudicollis (Cotingidae, Aves), in which the colour-producing collagen
layer (5001000 µm) was 25 times thicker than in other avian
species that had underlying melanin deposits.
The absence of underlying melanin creates in Mandrillus facial skin a potential relationship between the saturation of the colour (purity of hue) and the thickness of the tissue (i.e. the number of coherently scattering objects). Such a system can create interesting opportunities for the development and evolution of sexual dimorphism and status signalling function in the tissue (see Function of mammalian structural colours).
Dermal melanization may actually foster the evolution of structural
colouration because it will render any changes in collagen nanostructure that
produce coherent scattering of visible colours immediately observable
(Prum and Torres, 2003a).
Dermal melanin deposition is common in many Old World primates and may have
preceded the evolution of structural colouration in Mandrillus and
Cercopithecus. Some evidence exists that melanin deposition in mammal
scrota functions to protect male germinal tissue from harmful ultraviolet
radiation (Kermott and Timm,
1988
). Thus, scrotal melanin deposition for radiation insulation
may foster the evolution of structural colouration of the scrotum for a signal
function, which has occurred independently in lineages of both marsupials and
primates.
Function of mammalian structural colours
The exclusive occurrence of structural colours in mammal lineages that see
visible colours strongly supports the hypothesis that these colours function
in intraspecific communication and not in crypsis or interspecific
communication. Darwin (1871)
first hypothesized that the sexually dimorphic structural colours of primates
evolved through sexual selection.
In three of the four species examined, the structural colours are restricted to the scrotum, whereas in M. sphinx the structural colours are found on the face, rump, perineal and genital surfaces. This patently nonrandom pattern of structural colour distribution on the bodies of mammals is probably a result of convergent sexual or social selection on scrotum colour itself, or because of a pre-existing bias in the probability of evolving a structurally coloured scrotum, perhaps because of pre-existing scrotal melanization (see above).
In solitary marsupials, a blue scrotum may function in visual recognition
of males or in female mate choice. In the highly social Old World primates,
structural colours function in both intersexual and intrasexual communication.
In C. aethiops, the intensity of the blue scrotum colour varies
geographically among subspecies, being most intense in the East African C.
a. pygerythrus and least intense in the West African C. a.
sabaeus. Hue and saturation of scrotum colour also vary substantially
among individuals within C. a. sabaeus populations
(Kingdon, 1974;
Gerald, 2001
) but apparently
vary much less among adults in C. a. pygerythrus
(Henzi, 1985
).
In C. a. pygerythrus, the blue scrotum is displayed to conspecific
males and females during a variety of agonistic, dominance and intergroup
territorial displays (Struhsaker,
1967; Henzi,
1985
). The blue scrotum is featured prominently in the
`red-white-and-blue' display that combines the bright red penis, the white
belly fur and skin and the blue scrotum; in the red-white-and-blue display, a
dominant male walks around a submissive male with his tail raised, displaying
his blue scrotum (Struhsaker,
1967
). Sometimes during the red-white-and-blue-display, a male
stands upright with his erect penis bobbing up and down
(Struhsaker, 1967
). The red
colour of the penis (Fig. 1C,D)
is probably produced by capillary blood. The frequency of performance of the
red-white-and-blue display is correlated with dominance and mating success
(Struhsaker, 1967
).
Gerald (2001) has
demonstrated experimentally that the intensity of scrotum colour can function
as a signal of social status in captive male C. a. sabaeus, and
Gerald (1999
) has also shown
that blue colour is positively associated with neuroendocrine indicators of
dominance. Henzi (1985
)
concluded that blue scrotum colour in C. a. pygerythrus does not vary
significantly with dominance status, but Isbell
(1995
) presented a
nonsignificant trend supporting a positive correlation between colour and
status. Unfortunately, Henzi
(1985
) did not measure scrotal
colour, and Isbell (1995
)
scored scrotal colour by eye with a rather ambiguous four category scale. In
summary, blue scrotum structural colouration in C. aethiops probably
functions in intrasexual and intersexual communication and probably evolved
through intramale competition for status and sexual access and female
preference. Additional studies are required to document how variation in
scrotal colour (i.e. reflectance spectrum) functions in Cercopithecus
populations and the mechanistic basis of that variation (see below).
M. sphinx and its sister species M. leucophaeus have the
most complex and elaborate structural colouration in mammals.
Mandrillus have structurally coloured patches in both sexes and on
their faces and rump, perineal and genital areas. Thus, these structural
colours have the capacity to signal to a conspecific when an individual is
coming or going oriented toward or moving away from the receiver.
These ubiquitous signals have complex functions within such highly social,
group-living primates (Grizmek,
1984). Development of mature structural colouration occurs during
puberty (45 years of age; Wickings
and Dixson, 1992
). Bright facial and rump structural colours in
male M. sphinx have been positively correlated with plasma
testosterone levels, testis size and social dominance rank
(Wickings and Dixson, 1992
).
DNA fingerprinting analyses have demonstrated that bright male structural
colours in Mandrillus also correlate with mating success and genetic
fitness (Dixon et al., 1993
;
Wickings et al., 1993
).
Setchell and Dixson (2001
)
concluded that blue colouration in Mandrillus is unchanged by changes
in alpha status. However, observations of the two 12- and 20-year-old captive
male Mandrillus that were examined in this study contradict that
conclusion. The older male was dominant in the hierachy of this captive group
for many years but was deposed 4 years prior to tissue sampling by the younger
male (J. Peterson and G. Nachel; personal communication). After losing his
dominant status, the older male lost a substantial amount of weight and a lot
of his structural colouration (J. Peterson and G. Nachel; personal
communication). By the time of sampling, he was brighter again and
occasionally confronting the younger dominant male in the group (J. Peterson
and G. Nachel; personal communication). In conclusion, M. sphinx
structurally coloured signals probably function in status signalling,
intrasexual competition and intersexual selection.
Using a detailed model of trichromatic cercopithecine vision and measures
of reflectance spectra, Sumner and Mollon
(2003) have shown that the
structural blue colours of Mandrillus and Cercopithecus are
conspicuous against the background colours of their respective environments.
Kingdon (1974
) hypothesized
that the evolution of blue structural colouration in Old World primates is
associated with ground living, since it is found in the ground-living
mandrill, drill, vervet, Patas' and moustached monkeys but is absent from some
closely related, arboreal cercopithecines. However, this hypothesis is not
strongly supported by a comparative survey of primate colours
(Gerald, 2003
) and should be
tested phylogenetically.
Because of the lack of melanin underlying the colour-producing collagen arrays in the face of Mandrillus, changes in brilliance and saturation of the Mandrillus facial colour may be accomplished by expanding the thickness of the colour-producing collagen arrays. Fewer arrays would produce a colour of the same hue (peak reflectance) but with lower brilliance and saturation (less bright, more white; e.g. Fig. 3E,F) because fewer collagen fibres would create fewer opportunities to coherently scatter incident light above the white reflectance of the underlying tissue. More arrays would produce a more brilliant and saturated blue (Fig. 3A,B). Lack of underlying melanin would make colour brilliance and saturation highly sensitive to tissue thickness. Interestingly, maturation of sexually dimorphic differences in facial colouration in M. sphinx are associated with the development of the facial grooves that indicate the thickness of the colour-producing facial skin. Furthermore, the reflectance spectrum of the facial skin from one female Mandrillus showed a real lack of saturation (Fig. 3E) even though the tissue specimen from that individual showed collagen nanostructure that was virtually identical to that of the mature males (Fig. 7A,C,E). So, in Mandrillus facial skin, which lacks an underlying melanin layer, tissue thickness may play a direct role in development of sexual dimorphism and individual variation in structural colouration. Such changes in signal properties with age or social status could be mediated by hormonal control of collagenocyte activity in the dermis. Since facial melanin deposition is probably primitive to Mandrillus, the absence of melanin deposition in the blue facial patches of Mandrillus is likely to be a derived novelty that evolved to accommodate this signalling function.
It is attractive to hypothesize that facial structural colour in
Mandrillus or the blue scrotum colour in Cercopithecus are
honest indicators of individual condition because of the possible relationship
between thickness of the colour-producing collagen layer and colour
saturation. However, collagen is a ubiquitous protein, and the additional
amounts of collagen are tiny in comparison with the mass of these large
animals. Thus, it appears unlikely that there are any substantial direct
physiological costs to producing the Mandrillus or
Cercopithecus collagen arrays. Without any direct physiological cost
to production, it is difficult to support an honest indicating trait (e.g.
Andersson, 1994). Furthermore,
collagen is a self-assembled protein polymer, so components of the spacing of
the collagen fibres are unlikely to be easily environmentally perturbable.
Thus, even if structural colour intensity is associated with dominance or
status, hue itself may not be a directly condition-dependent signal. The
`honesty' of structurally coloured signal is more likely to be enforced by the
cost of direct physical confrontations to individuals with inappropriate
signals rather than by a direct cost of the signal production itself.
Price et al. (1976)
experimentally changed the blue colour of Cercopithecus scrotum to
white by injecting water into scrotal tissue and to deep blue by compressing
the scrotum tissue. They hypothesized that scrotal colour variation in
Cercopithecus is associated with the degree of dermal hydration.
However, they did not present any evidence that natural variation in hue is
associated with dermal hydration. Furthermore, it is uncertain how additional
hydration would affect the nanostructure of the colour-producing arrays.
Further research is required to understand the mechanism underlying the
variation in scrotal hue, saturation and brilliance in Cercopithecus.
Substantial dermal oedema or dehydration would typically only occur in a
primate with more threatening health problems, so it appears more likely that
dermal structural colour variations are under hormonal control.
Sources of error
There are many sources of error and limitations to the Fourier method used
here to analyze the colour production (Prum and Torres,
2003a,b
).
An advantage of the method is that the analyses are based on actual electron
micrographs of the colour-producing materials and not on a few idealized
measurements. The colour predictions are based directly on the available data,
but the results will be influenced by many factors that affect quantitative
transmission electron microscopy, including tissue shrinkage and expansion,
variation in staining, fixation, etc. The method also relies upon grey-scale
differentiation of materials of different refractive indices, and additional
variation in staining will create noise in the analyses. In the present study,
various specimens were obtained from various sources, and differences in
preservation and fixation resulted in changes in the nanostructure of the
materials that reduced or eliminated structural colour production. The
extracellular collagen and mucopolysaccharide arrays are particularly subject
to perturbation during fixation (Prum et
al., 1994
; Prum and Torres,
2003a
).
This Fourier method does not take into account absorption or pigmentation,
but neither do any of the alternative methods of analysis of structural
colouration. Absorption may play a role in the slight decline in reflectance
at 400 nm in some reflectance spectra (e.g.
Fig. 3A,B,EG).
Remarkably similar reflectance spectra were observed in some blue bird skin,
particularly in Galliformes (Prum and Torres,
2003a,b
).
Alternatively, this could be due to two heterogeneous size classes of
colour-producing arrays in the dermis, which are each responsible for the
peaks above and below 400 nm and occur in varying frequencies (e.g.
Fig. 7A vs
Fig. 7D). This phenomenon
requires further investigation.
Further, our Fourier method does not take into account polarization of
incident or scattered light. Nanostructures composed of arrays of parallel
fibres are likely to produce highly polarized reflections composed largely of
the transverse magnetic (TM) waves, in which the magnetic field is in the
plane of the image and the electric field is in the perpendicular plane of the
fibre direction (e.g. Joannopoulos et al.,
1995). Essentially, this Fourier method constitutes an analysis of
the coherent scattering of the incident TM polarized light waves only
(Prum and Torres, 2003b
).
However, the structural colours produced by these dermal tissues are not
polarized because the larger groups of collagen fibres are oriented in many
different directions within the plane of the surface of the skin. The colour
seen is, thus, the sum of all the polarized reflections from many collagen
arrays with different orientation, which is itself unpolarized (Prum and
Torres,
2003a
,b
).
Another source of uncertainties is errors in estimating the radial Fourier power distributions or the predicted reflectance spectra that arise from sampling the square power spectra with different numbers of radial frequency or wavelength windows. We have chosen 100 spatial frequency and 50 wavelength radial bins, or annuli, over the ranges of values of interest (optically relevant spatial frequencies and visible wavelengths). But sampling the power spectra with different numbers of bins leads to variations in the estimation of the exact position of the peak due to unavoidable sampling errors. For example, the wavelength analyses of the Fourier power spectra from C. a. pygerythrus scrotum produced an estimated peak reflectance of 400 nm, or 475 nm below the peak of a published reflectance spectrum for this colour (Table 1). However, the frequency analyses for the same species produced a peak spatial frequency (the inverse of the fibre-to-fibre-centre distance) of 0.00587 nm1, which would produce a peak structural colour of 477 nm (given an average refractive index of 1.4). In this instance, 100 frequency bins produced a highly accurate estimate of the peak hue, whereas the 50 visible wavelength bins produced less accuracy. There is no way to avoid these problems, except to point out that when tissues are in a good state of preservation and many images are used, the analyses appear to converge.
In summary, our results provide strong falsification of incoherent scattering hypotheses and strong support for the coherent scattering hypothesis, but further research is required to analyze all physical sources of intraspecific and interspecific variation in structural colour within mammals, particularly in marsupials.
Fourier method and photonics
Photonics, or solid-state electromagnetics
(Joannopoulos et al., 1995),
is a new field of physics that has only recently begun to be applied to
biological structural colour production
(Parker et al., 2001
;
Li et al., 2003
;
Sundar et al., 2003
;
Vukusic, 2003
;
Vukusic and Sambles, 2003
). In
contrast to the traditional optical method of analyzing the sum of the
responses of all incident light waves, photonics applies generalized numerical
methods from quantum mechanics and electronics to analyze the periodicities in
refractive index of a structure and, consequently, to predict the permissible
interactions of light waves with that structure
(Joannopoulos et al., 1995
).
Photonics has produced a revolution in new technologies and has only recently
begun to be applied to biological structural colouration
(Parker et al., 2001
;
Li et al., 2003
;
Sundar et al., 2003
;
Vukusic, 2003
;
Vukusic and Sambles, 2003
).
Although the advent of biological applications of photonic methods will
require a reevaluation of all biological optical methods
(Prum and Torres, 2003b
), here
we will only briefly discuss photonics, colour-producing collagen arrays and
our alternative Fourier method.
Periodic dielectric materials, or structures with periodic spatial
variation in refractive index, are called `photonic crystals'
(Joannopoulos et al., 1995).
Almost all biological structural colour-producing materials can be understood
as biophotonic crystals (Vukusic and
Sambles, 2003
). Photonic crystals are classified based on whether
they have periodic refractive index variation in one, two or three dimensions.
An array of parallel dielectric rods, like dermal colour-producing mammal
collagen, is a 2-D photonic crystal
(Joannopoulos et al.,
1995
).
Most of the mathematical methods used in photonics assume a perfect spatial
periodicity (Joannopoulos et al.,
1995). Although such an assumption may apply to some very
crystal-like biological structures (Parker
et al., 2001
; Li et al.,
2003
; Sundar et al.,
2003
), these methods are not directly applicable to quasi-ordered
biomaterials in which spatial periodicity is limited to the distance of
neighbouring light scatterers and is not perfectly periodic, such as mammalian
and avian dermal collagen arrays. However, Jin et al.
(2001
) have recently shown
theoretically and experimentally that an `amorphous' (= quasi-ordered) 2-D
photonic crystal can produce a full photonic band gap a range of light
frequencies that will not be transmitted in any direction within the crystal.
Photonic band gaps are another consequence of coherent scattering, since
coherently scattered light wavelengths cannot be transmitted forward through
the photonic crystal (Joannopoulos et al.,
1995
). So, photonic research has confirmed that quasi-ordered (=
amorphous) biological arrays constitute quasi-ordered 2-D photonic crystals
and that the colour production by quasi-ordered 2-D photonic crystals is
produced by coherent scattering.
Our 2-D Fourier tool provides an efficient method to quantify nanoscale
spatial variation in refractive index in quasi-ordered biological materials
and to test alternative hypotheses of structural colour production
(Prum and Torres, 2003b). In
contrast to traditional optical methods, our Fourier method shares with
photonic methods an explicit focus on the analysis of the spatial periodicity
of refractive index variation in the material (or tissue) as a means of
predicting its light-scattering properties. Thus, there are fundamental
mathematical similarities between the two approaches that we are currently
investigating more fully.
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