Nuptial coloration varies with ambient light environment in a freshwater fish



    1. School of Biological Sciences, Monash University, Clayton, Vic. 3800, Australia
    2. eWater Cooperative Research Centre, Canberra, ACT 2600, Australia
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  • N. R. BOND,

    1. School of Biological Sciences, Monash University, Clayton, Vic. 3800, Australia
    2. eWater Cooperative Research Centre, Canberra, ACT 2600, Australia
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  • D. A. CROOK,

    1. eWater Cooperative Research Centre, Canberra, ACT 2600, Australia
    2. Arthur Rylah Institute for Environmental Research, Department of Sustainability and Environment, Heidelberg, Vic. 3084, Australia
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  • B. B. M. WONG

    1. School of Biological Sciences, Monash University, Clayton, Vic. 3800, Australia
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John R. Morrongiello, School of Biological Sciences, Building 18, Monash University, Clayton, Vic. 3800, Australia.
Tel.: +61 3 9905 1660; fax: +61 3 9905 5647; e-mail:


Visual signals play a vital role in many animal communication systems. Signal design, however, often varies within species, raising evolutionarily important questions concerning the maintenance of phenotypic diversity. We analysed nuptial colour variation within and among nine populations of southern pygmy perch (Nannoperca australis Günther) along an environmental light gradient. Within populations, larger males were redder and blacker, and better-condition males were blacker. Among populations, red colour was positively correlated with the amount of orange-red light present, suggesting that males are likely optimizing signal conspicuousness by producing proportionally larger and redder patches in broad spectrum environments with more orange-red light. Signal contrast, in this regard, is maximized when red colour, appearing bright because of the prevalence of red wavelengths, is viewed against the water-column background. Together, our results are concordant with the sensory drive hypothesis; selection favours signal adaptations or signal plasticity to ensure communication efficacy is maximized in different light environments.


Animals have evolved a remarkably diverse range of signals to communicate reproductive information. These signals are often the result of antagonistic sexual and natural selection: traits that are favoured in male–male competition or female mate choice can have associated costs that affect longevity and survivorship (Andersson, 1994). Although previous studies have explored this trade-off in terms of changing predation regimes (e.g. Endler, 1980) and physiological costs (e.g. Folstad & Karter, 1992), we know much less about how the contextual environment can influence the evolution of, and variability in, reproductive signals. However, as recent studies suggest, the contextual environment can strongly influence signal diversity. For example, male great tits (Parus major) living in urban environments modify their songs to be heard above noisy conditions (Slabbekoorn & den Boer-Visser, 2006), and populations of Anolis lizards (Anolis cristatellus) inhabiting different light environments exhibit variability in the coloration of their dewlaps (throat fans) to ensure detection by conspecifics (Leal & Fleishman, 2004). The efficacy of these signals is dependent on the interplay among properties intrinsic to the signal itself, the environment through which it is transmitted, and the reception and processing abilities of the receiver (Endler, 1990).

The sensory drive hypothesis (Endler, 1992) proposes that natural selection will favour variations to signal design and sensory systems that maximize the effectiveness of communication given particular environmental conditions. This variation can be either adaptive or plastic and drives spatial and temporal signal variation. In visual communication systems, signal conspicuousness can be optimized through increasing achromatic brightness contrast (reflectance and transmission of signal differ strongly from that of the surrounding background) or chromatic contrast (signals rich in wavelengths that are poorly reflected by the background). These, in turn, can be tailored to match the perceptual sensitivities or biases of the individuals receiving the signals within a given environment (Endler, 1992, 1993). Identifying and understanding patterns in signal variation along environmental gradients is important in helping elucidate the particular selective pressures experienced by an organism and contributes evidence towards our understanding of the mechanisms through which communication operates.

Many fish communicate using visual signals. The perception of these signals is in part dependent on the physical properties of the ambient light spectra and the degree of attenuation, absorption and scattering of the transmission medium (Lythgoe, 1979; Reimchen, 1989). Clear waters are generally illuminated by broad-spectrum, high-intensity light. Objects reflecting this ambient light are viewed against a low-intensity blue/green-shifted background because of long wavelength attenuation over distance. In tannin and turbid waters, organic compounds and suspended particles attenuate shorter wavelengths of light such that objects are viewed against a red-shifted background of lower intensity. These effects are intensified with increasing depth or path length. Some fish, such as Lake Victoria haplochromine cichlids (Seehausen et al., 1997; Maan et al., 2006), maximize conspicuousness in broad spectrum environments by utilizing the most abundant wavelengths available in their signal design: blue and red coloration appear bright when viewed under blue and red light, respectively. Other species, such as bluefin killifish (Lucania goodei), display the reverse pattern with the proportion of blue and red colour morphs in a population inversely related to the amount of blue/UV and red light available in the environment. Against a blue/green-shifted background, red males will be more conspicuous than blue males because of colour contrast (Fuller, 2002). Likewise, in red-shifted environments, male sticklebacks (Gasterosteus spp.) display less red colour and thus maximize signal contrast because females are less sensitive to red light and exhibit less preference for red males in these environments (Boughman, 2001). Conversely, female guppies (Poecilia reticulata) from red-shifted environments exhibit a stronger preference for orange males, but male colour is not affected by the light environment (Endler & Houde, 1995).

In this study, we explored the relative importance of signal content and ambient environmental conditions in determining variation in male nuptial coloration within and across populations of an Australian freshwater fish, the southern pygmy perch, Nannoperca australis. First, we considered variation in nuptial colour relative to body size and condition to explore whether these visual signals convey information about male quality or status (signal content). Next, we explored spatial variation in nuptial colour along a light gradient to test an aspect of the sensory drive hypothesis that states signal properties should vary predictably with changing environmental conditions to maximize signal efficacy.


Study species

Nannoperca australis is a small-bodied (< 80 mm) freshwater fish found throughout south-eastern Australia. This species inhabits perennial streams, large rivers, ephemeral creeks and wetlands. Within these habitats, fish are exposed to a range of environmental lighting conditions from clear to turbid and tannin-stained water. Males develop red and black nuptial coloration on their fins and body (Fig. 1a) from May to July prior to breeding at the end of the austral winter and throughout spring (July–November). Aquarium studies suggest that males aggressively defend territories of aquatic vegetation, with larger males being dominant over smaller males (Mitchell, 1976).

Figure 1.

 (a) Male southern pygmy perch Nannoperca australis, (b) location map of the nine populations and (c) transmission spectral profiles for each site. Colours used in (c) correspond to population colours denoted in (b). The vertical dashed line in (c) indicates the 550-nm threshold used to calculate the orange integral.

Sample collection

We collected 174 sexually mature N. australis from nine sites across Victoria, south-eastern Australia, using fyke nets and bait traps (Fig. 1b; Table 1). As male coloration might seasonally vary within a site, five sites were sampled on two occasions. There was no consistent directional pattern in colour change over time, and intraclass correlation coefficients (ICC) for sample averages (McGraw & Wong, 1996) indicated that they were temporally repeatable [ICC(C,2) range 0.49–0.87 for coloration measures (definitions below)]. We therefore pooled data to give an integrated measure of a site’s male coloration characteristics.

Table 1.   Summary of data used in this study.
SiteSampling date (2007)LongitudeLatitude# FishMean length (range) (mm)
Arthurs Creek15 August145°12′23″E37°34′54″S449.00 (43–58)
Boyd Creek26 September and 30 October144°53′42″E37°23′20″S3450.47 (36–75)
Broken River site 19 November146°06′28″E36°58′33″S1955.32 (42–74)
Broken River site 228 August146°01′43″E36°58′53″S1568.40 (64–75)
Cannibal Creek24 September and 8 October145°44′16″E38°03′57″S1352.92 (35–71)
Castle Creek13 August and 23 September145°35′09″E36°51′58″S3142.53 (34–53)
Deep Creek26 September144°46′39″E37°17′08″S1848.56 (30–67)
Plenty River15 August and 9 October145°07′36″E37°29′01″S1746.77 (38–55)
Seven Creeks27 August and 22 September145°45′44″E36°50′46″S2348.26 (36–66)

Photography and image analysis

Colour data were derived from standardized digital photographs as this method is relatively quick, preserves spatial information and can accurately quantify colour patterns (reviewed in Stevens et al., 2007). After capture, males were immediately photographed in a portable field ‘dark box’. Males were placed in a small glass holding aquarium (8 × 4 × 1.5 cm) filled with distilled water, which in turn was mounted into a bracket 23 cm from the camera lens. The dark box (35 × 31 × 30 cm) interior was painted matte black and the roof white. Standardized photographs of fish were taken with a Nikon D80 camera (Nikon Inc., Tokyo, Japan) connected to a stereo macroflash orientated towards the dark box roof to avoid reflection off the glass. Photographic conditions were kept constant with regard to shutter speed (1/125 s), aperture (f16), ISO settings (ISO 100) and flash intensity (Svensson et al., 2005). Furthermore, all photographs included a series of white, grey and black reflectance standards. As grey has a flat reflectance spectrum, the use of this reflectance standard facilitated linearization of the camera’s response to changes in light intensity and equality of colour reflectance (Stevens et al., 2007). Photographs were saved in RAW file format to ensure no device-specific image alterations occurred (Stevens et al., 2007). After photographing, fish weight (g) and total length (mm) were recorded, and the ordinary least squares (OLS) residuals from population-specific linear models of log (weight) ∼ log (length) were used as an index of male condition.

Male photographs were analysed using Adobe Photoshop CS3 Extended 10.0 (Adobe Systems Inc., San Jose, CA, USA). RAW images were converted into 16-bit TIFF files and an L*a*b* colour space was employed [Commission International de l’Eclairage (CIE)]. CIE L*a*b* is a perceptually uniform and device-independent colour space that has previously been used in analyses of fish colour (e.g. Craig & Foote, 2001; Svensson et al., 2006); L* values correspond to the relative blackness of an image ranging from absolute black to absolute white, a* values represent the ‘redness’ (balance between magenta and green) of an image and b* values represent the ‘yellowness’ (balance between yellow and blue). Red and black components of nuptial coloration were analysed using their ‘redness’ (a*) and ‘blackness’ (L*) value, respectively. Redness measures were corrected by dividing a* values from the fish with a* values from the grey reflectance standard (these grey values themselves standardized by calculating the ratio of known grey reflectance to the recorded grey reflectance) in each photograph (Stevens et al., 2007; Bergman & Beehner, 2008). There was less variation among a* values for grey standards (CV = 0.5) compared to those of fish (CV = 1.9). Blackness measures did not need to be corrected as L* channel was standardized from previous linearization.

Each fish was removed from the background image using the magnetic lasso tool, and average redness and blackness of the whole fish were measured using the histogram function. Dorsal, caudal, anal and pelvic fins were then selected (regions that develop significant nuptial colour), and total fin area and the proportion of fins red and black were estimated. The redness and blackness of these colour patches were then quantified.

Estimation of water transmission properties

Each site’s water spectral properties were measured from a 1-L water sample collected at the time of fish capture and returned to the laboratory for analysis on a Cary 50 UV-Vis spectrophotometer (Varian Inc., Walnut Creek, CA, USA). Samples were immediately chilled and analysed within 3 days of collection. Samples were agitated to re-suspend settled particulate matter, and water was transferred to a 5-cm glass cuvette for analysis. A 5-cm cuvette was chosen as it had the longest path length available and roughly corresponds to the distance over which most male–male aggression and male–female courtship occurs (Mitchell, 1976). Although this is not a standard measure of light transmission, it does provide a relative estimate of environmental lighting conditions and facilitates among population comparisons. The transmission spectrum from 400 to 700 nm was recorded at 0.46-nm intervals and standardized against a distilled water spectral profile. The ‘orange integral’ (integral of 550–700 nm transmission) was calculated to measure the absolute amount of long light wavelengths available in an environment (Fig. 1c). Replicate orange integrals from five sites showed that this measure was repeatable through time [ICC(C,2) = 0.95], and therefore, they were averaged to produce one value per population.

Statistical analyses

Linear mixed-effects models were developed to investigate the relationships between each of the coloration properties (fish redness, fish blackness, red fin proportion or black fin proportion) and explanatory variables (orange integral, length, condition and population). For each coloration property model, length, condition and orange integral were treated as fixed effects, population treated as a grouping random effect (intercept) and the nine length, or condition, by coloration property slopes allowed to randomly vary among populations. Mixed-effects modelling allows for hierarchical structuring in the data: here, we assume that our populations are a random representation of all populations and within these are nested the observed data. This approach allows us to test for the effects of factors and covariates across populations while allowing for the intercept and slope of covariate by response relationships to randomly vary among populations (after Zuur et al., 2009). Random effect structures were explored using restricted maximum likelihood estimation (REML) and the most parsimonious selected using Akaike’s information criterion (AIC), corrected for small sample size (AICc). Candidate models were compared using ΔAICc (Burnham & Anderson, 2002). For all coloration property models, a random intercept (population) with fixed slopes for length and condition performed best, and this random effect structure was adopted in subsequent exploration of fixed effects.

We fitted 21 models of increasing fixed effect complexity to each of our coloration property data using maximum likelihood estimates of error (ML). Orange integral, length and condition were centred to enable fitting of interaction terms among explanatory variables (Quinn & Keough, 2002), and black fin and red fin proportion data were arcsine-square-root-transformed to ensure homogeneity of errors. The most parsimonious models were selected using AICc and then re-analysed using REML to produce unbiased parameter estimates reported here (Zuur et al., 2009).

The effect of inter-population differences in average length and condition on coloration properties and the relationship between fin redness and fin blackness (representing discrete colour patches found side by side) were analysed using simple linear regression. Fin blackness data were natural-log-transformed to meet model assumptions. All statistical analyses were conducted in r 2.4.1 (R Development Core Team, 2006) with linear mixed-effects models fitted using the nlme package (Pinheiro & Bates, 2000).


Fish redness and red fin proportion

The most parsimonious model explaining variation in fish redness included the fixed effects length and orange integral (Table 2). Overall, larger fish were redder than smaller fish (Table 3), and there was no evidence to suggest that the strength of this relationship varied among populations (random slope and orange integral by length interaction non-significant). The average fish redness of a population was significantly and positively correlated with the amount of orange-red light (orange integral) (Fig. 2a; Table 3). We identified Seven Creeks as a potentially influential population with relatively low values of orange integral and fish redness, but its removal did not alter the analysis results (mixed-effects model: orange integral estimate 0.157, t6 = 2.67, P = 0.037).

Table 2.   Results of model selection procedure for 21 combinations of explanatory variables fitted coloration property data. Shown are models with similar levels of support (ΔAICc < 2, Burnham & Anderson, 2002).
  1. AIC, Akaike’s information criterion.

Fish redness
 Orange integral + length5720.90721.260.00
 Orange integral × length6722.60723.101.84
Red fin proportion
 Orange integral41005.061005.300.00
 Orange integral × condition61006.071006.571.27
 Orange integral + condition51006.931007.281.99
Fish blackness
 Length + condition51474.711475.070.00
 Length × condition61475.191475.690.63
Black fin proportion
 Length + orange  integral × condition71260.941261.620.00
 Orange integral × condition   + orange integral × length81261.941262.821.20
Table 3.   Restricted maximum likelihood estimates and 95% confidence intervals of four linear mixed-effects models describing changes in coloration properties as a function of light environment, fish length and condition.
ParameterEstimate (SE)*t-valued.f.P-value95% Confidence interval
  1. *Parameter estimates for centred variables.

Fish redness
 Orange integral0.174 (0.022)7.9837< 0.0010.122, 0.225
 Length0.066 (0.015)4.367164< 0.0010.036, 0.096
Red fin proportion
 Orange integral0.135 (0.054)2.51570.0400.008, 0.263
Fish blackness
 Length−0.77 (0.139)5.566163< 0.001−53.146, −25.237
 Condition−18.657 (6.618)2.8191630.005−31.725, −5.589
Black fin proportion
 Orange integral−0.125 (0.344)0.36470.727−0.938, 0.688
 Length0.323 (0.075)4.320162< 0.0010.175, 0.470
 Condition7.837 (3.586)2.1851620.0300.756, 14.918
 Orange integral × condition0.927 (0.345)2.6861620.0080.245, 1.608
Figure 2.

 Relationship between the orange integral and (a) mean (±SE) fish redness (a*) and (b) mean (±SE) proportion of fins covered in red pigmentation for each population.

Red fin proportion was best explained by a model including just the predictor orange integral (Table 2), with both length (t163 = 0.17, P = 0.87) and condition (t163 = 0.37, P = 0.71) being non-significant. Fish inhabiting streams with more orange light had, on average, proportionally more of their fins covered in red pigmentation than those inhabiting streams with less orange light (Fig. 2b, Table 3). This relationship, however, broke down with the removal of the Seven Creeks population (mixed-effects model: orange integral estimate 0.140, t6 = 1.00, P = 0.36). On an inter-population level, neither average fish redness nor average red fin proportion was related to average length (fish redness: F1,6 = 0.59, P = 0.47; red fin proportion: F1,6 = 0.82, P = 0.40) or average condition (fish redness: F1,6 = 0.21, P = 0.67; red fin proportion: F1,6 = 1.01, P = 0.36).

Fish blackness and black fin proportion

The best model explaining variation in fish blackness included the predictors length and condition (Table 2), with bigger and better conditioned individuals being blacker (Table 3). The slope of these relationships did not differ among populations. Black fin proportion was best explained by a model including length and the interaction between orange integral and condition (Table 2). Bigger, and in general better conditioned individuals, had more of their fins covered in black pigmentation (Table 3). However, at very low orange integral levels (namely Sevens Creek), better conditioned individuals had relatively less black pigmentation on their fins. Among-population differences in average length and average condition did not correlate with differences in average fish blackness (length: F1,6 = 3.22, P = 0.123; condition: F1,6 = 0.30, P = 0.60) or proportion fins black (length: F1,6 = 1.34, P = 0.29; condition: F1,6 = 0.01, P = 0.94).

Fin redness vs. fin blackness

There was a significant, albeit weak (as based on r2), negative relationship between fin redness and fin blackness (F1,172 = 21.01, P < 0.001; Fig. 3). Fish with redder (higher a*) patches on their fins also had blacker (lower L*) patches adjacent to them.

Figure 3.

 Relationship between log-transformed fin blackness (L*) and fin redness (a*) for 174 individuals.


We found that coloration patterns in male N. australis are strongly associated with relative environmental lighting conditions, body size and condition. Within individuals, adjacent colour patch properties potentially help optimize conspicuousness through increasing contrast. The results also suggest that within a population, nuptial coloration communicates information about male dominance status (i.e. body size) and quality (i.e. condition). Among populations, red colour varies predictably with changing light environment to maximize signal efficacy.

Previous coloration studies across taxa have found that colour can vary with the light environment via two mechanisms: chromatic contrast (e.g. Indian warblers Phylloscopus Marchetti, 1993) and brightness contrast (e.g. Anolis lizards Leal & Fleishman, 2004). Some studies have found that both factors are important in closely related species (e.g. dwarf Bradypodion chameleons Stuart-Fox et al., 2007). Among-population variation in N. australis orange-red colour (redness and patch size) was positively related to the amount of red light available. This pattern is consistent with fish maximizing their chromatic contrast when viewed against a water-column background. As in earlier studies, we did not measure habitat spectral properties (e.g. Seehausen et al., 1997, 2008; Boughman, 2001; Fuller, 2002; Maan et al., 2006), attributable in part to the relative importance of the water-column ‘space-light’ (ambient lighting environment) in aquatic systems (Lythgoe, 1979). Nonetheless, conspicuousness via chromatic contrast would likely be maintained against a habitat background as the male’s red pigmentation and the green of aquatic vegetation in their territories are ‘complementary’, with few wavelengths in common (Endler, 1992).

Red nuptial colour was most strongly related to available orange-red light, but it is possible that fish are also responding to changes in other regions of the ambient spectra as the transmission of orange light in a stream positively correlated with total light and blue light transmission. Reimchen (1989) found a positive correlation between red throat pigmentation in threespine sticklebacks (Gasterosteus aculeatus) and the transmission of blue light (%T400 nm). He concluded that red males inhabiting lakes with broad spectrum downwelling light would be more conspicuous when viewed against a blue-green background, whereas black-throated males would be more conspicuous when viewed against tannin-stained, red-shifted backgrounds. Seehausen et al. (1997) also reported positive correlations between the blueness and redness of Lake Victoria haplochromine cichlids and the width of the transmission spectrum; males increased their signal conspicuousness in environments rich in blue and red light to enhance contrast against yellowish side-welling light.

Male N. australis inhabiting clear water streams (broad-spectrum and high-intensity light) should appear conspicuous because the available red light increases patch brightness (red coloration appears brighter in redder light Endler, 1992), which in turn maximizes chromatic contrast against a blue-green-shifted water-column background. As the water becomes more turbid or tannin-stained (such as occurs in Sevens Creek), the available light spectrum and intensity diminish and red nuptial coloration appears duller and no longer contrasts against a now red-shifted water-column background. In these low-light environments, black colour, which is conspicuous in all lighting conditions (Endler, 1992, 1993), may become a more efficient signal and be employed by males.

Although not tested in this study, it is important to acknowledge that differential predation regimes and population phylogeny can influence spatial variation in communication signals. For example, the presence of an acoustically orientating parasitoid fly resulted in the localized loss of song in male field crickets (Teleogryllus oceanicus) (Zuk et al., 2006), and bark beetles (Ips pini) spatially and temporally varied the chemistry of, and their preference for, aggregating pheromones depending on the type and abundance of eavesdropping predators present (Raffa et al., 2007). Likewise, spatial biases in visual sensitivities (Seehausen et al., 2008), mate preferences (Boughman, 2001) or colour expression (Lewandowski & Boughman, 2008) may be genetically controlled, resulting in phylogenetic patterns of coloration. However, in N. australis, we believe that predation and population phylogeny are unlikely to completely override the influence of lighting environment on coloration. Firstly, the suite of sympatric piscivorous species to which N. australis is exposed varied among sites but was not correlated with red coloration (qualitatively based on the presence of piscivorous fish at time of sampling, J. Morrongiello, unpublished data). Secondly, despite the nine populations sampled spanning different drainage basins (Fig. 1b) and this species displaying localized and large-scale genetic differentiation (Hammer, 2001; Cook et al., 2007), spatial patterns in red coloration were not related to geographic separation. Future studies, however, would do well to consider both these possibilities in more detail.

Within individuals, the conspicuousness of a colour patch is dependent not only on properties intrinsic to the patch itself, but on those of the entire colour pattern (Endler & Mielke, 2005). We found that males with redder fin patches also had blacker fin patches nearby, and this enhances conspicuousness as patch contrast is maximized when those adjacent vary greatly in their brightness (total reflectance) or chroma (saturation) (Lythgoe, 1979; Endler, 1990). Within populations, larger males were both redder and blacker, and this is consistent with other studies that show larger or more dominant males generally display more conspicuous colour signals (reviewed in Berglund et al., 1996). Signals that convey information regarding status or male quality are likely to be ‘honest’: trait variation is dependent on trade-offs between sexual signalling and physiological demands (Milinski & Bakker, 1990) or social enforcement (Candolin, 1999). Although size-colour variation may reflect an underlying link with fish age or maturity, this is unlikely as all individuals were reproductively mature, the majority of N. australis spawn after their first year (Humphries, 1995) and length–frequency histograms showed no clear cohort structure within populations.

Average male size and condition differed markedly among populations, but average coloration measures did not vary concordantly. This suggests that spatial variation in red colour is primarily a response to changes in the light environment rather than differences in male size or condition-related effects. Variation in black coloration properties, however, was only related to the within-population variables body size and condition. As black is highly conspicuous in all light environments (Endler, 1992, 1993), varying its expression with changes in the light environment should not alter signal efficacy. Interestingly, only black coloration properties were correlated with condition. These results reinforce conclusions drawn from size data, indicating that black colour plays an important role in honest signalling of status or quality among males within a population.

In conclusion, our study supports an important aspect of the sensory drive hypothesis. Specifically, male N. australis predictably vary their red nuptial colour with the light environment to maximize signal efficacy through optimizing patch brightness when red light is plentiful, which in turn optimizes contrast when viewed against a water-column background. Further work is needed to explore whether this pattern is an adaptive or plastic response to environmental variation. Within-population coloration patterns suggest that both red and black nuptial colours are signals of dominance and condition. Taken together, these findings contribute to our understanding of the importance of signal efficacy in reproductive systems under variable environmental conditions.


We thank P. A. Svensson and J. Beardall for assistance with equipment and analyses, T. and H. Morrongiello and J. Macdonald for help collecting fish, and J. Endler for helpful discussion. P. A. Svensson and D. Ramsey, R. Snook and two anonymous reviewers provided valuable comments that greatly improved this manuscript. This research was financially supported by eWater CRC, the Australian Research Council and Monash University. JRM was supported by an Australian Postgraduate Award (I) scholarship during this research. Collection and handling of fish were conducted under Monash University School of Biological Sciences Ethics Committee approval (SCI 2007/08) and Fisheries Victoria permit RP 882.