Cuticle darkening correlates with increased body copper content in Drosophila melanogaster.

Insect epidermal cells secrete a cuticle that serves as an exoskeleton providing mechanical rigidity to each individual, but also insulation, camouflage or communication within their environment. Cuticle deposition and hardening (sclerotization) and pigment synthesis are parallel processes requiring tyrosinase activity, which depends on an unidentified copper-dependent enzyme component in Drosophila melanogaster. We determined the metallomes of fly strains selected for lighter or darker cuticles in a laboratory evolution experiment, asking whether any specific element changed in abundance in concert with pigment deposition. The results showed a correlation between total iron content and strength of pigmentation, which was further corroborated by ferritin iron quantification. To ask if the observed increase in iron body content along with increased pigment deposition could be generalizable, we crossed yellow and ebony alleles causing light and dark pigmentation, respectively, into similar genetic backgrounds and measured their metallomes. Iron remained unaffected in the various mutants providing no support for a causative link between pigmentation and iron content. In contrast, the combined analysis of both experiments suggested instead a correlation between pigment deposition and total copper body content, possibly due to increased demand for epidermal tyrosinase activity.

Introduction

Insect cuticle is the primary interface between an insect and its environment. It is a polymer network composed of chitin, protein derivatives, and hydrocarbons (Chapman 1998). Darkening of the cuticle is mostly due to non-lipid indole and catechol components, also referred to as cuticle pigments or melanin (Hackman and Goldberg 1971). In common to other insects, the epidermal cells of Drosophila melanogaster produce cuticle pigments during the final day of metamorphosis and the first hours after adult eclosion (Wittkopp and Beldade 2009; Wright 1987). The cuticle extracellular matrix is secreted through a developmental process initiated by the ecdysis neuropeptide signaling pathway (Davis et al. 2007; Luan et al. 2006) and further controlled by physiological (Shakhmantsir et al. 2014) and genetic (Gibert et al. 2007; Ostrowski et al. 2002) cues. Cuticle pigmentation occurs when melanin is deposited directly into the epidermis (Walter et al. 1996). Two well-known mutants that significantly change body color in D. melanogaster are yellow (y) and ebony (e) (Wittkopp et al. 2002). The former cause a pale yellow body color, whereas the latter result in a dark black body color. Although the melanin deposition pathway in model organisms has been characterized in detail, the chemistry around this process is poorly understood (Massey and Wittkopp 2016). Melanin formation requires the action of a multi-enzyme complex, sometimes referred to as tyrosinase (Lewis and Lewis 1963; Wright 1987). Historically, tyrosinase activity has been studied through assays that follow the oxidation of 3,4-dihydroxyphenylalanine (dopa), a reaction that also forms a key biosynthetic step in the formation of melanin (Lewis and Lewis 1963; Walter et al. 1996). Somewhat surprisingly, the relative quantities of extractable tyrosinase activity in larvae and pupae of the y, wild type and e genotypes increased in reverse relation to pigmentation (Graubard 1933). It should be noted, however, that the tyrosinase complex acting at the epithelial cells appears to be distinct from the prophenol oxidases that produce melanin during the immune response, given that deletion of all three prophenol oxidases rendered flies susceptible to microbial infection without altering their cuticle pigmentation (Binggeli et al. 2014; Dudzic et al. 2015). Yet, one of the enzymatic components was found to be a cuproenzyme (Seybold et al. 1975; Sugumaran et al. 1992) and, most importantly, the cuticle pigmentation activity required the presence of copper in vivo (Binks et al. 2010; Turski and Thiele 2007; Zhang et al. 2020; Zhou et al. 2003).

There is a large body of literature assessing the ‘melanism-desiccation’ hypothesis, which proposes that dark cuticle in several Drosophila species is an adaptation for increased desiccation tolerance (Gibbs and Rajpurohit 2010; Parkash et al. 2008; Rajpurohit et al. 2016a). Interestingly, an early report suggested that e mutants of D. melanogaster were more resistant to desiccation stress than wildtype flies, whereas y mutants of multiple species were less desiccation resistant (Kalmus 1941). In addition, e mutants produce longer hydrocarbon cuticle chains (Massey et al. 2019a), whereas male y mutants have difficulty to sustain copulation (Massey et al. 2019b), underscoring the pleiotropic function of these genes. It was shown independently that selection in the laboratory for desiccation resistance produced populations with longer hydrocarbon chains (Gibbs et al. 1997). In another study, laboratory selection for pigmentation darkness resulted in correlated resistance to desiccation (Ramniwas et al. 2013). Thus, it was somewhat surprising that an independent attempt to replicate these findings resulted in the opposite conclusion, namely that selection for pigmentation darkness or desiccation resistance evolved independently of each other (Rajpurohit et al. 2016a). The last two studies shared a similar experimental design, therefore their contrasting results could relate to diverse genetic backgrounds used as starting material for selection, underscoring the difficulty on reaching generalizable conclusions for the linkage between physiological traits in experimental evolution studies. Here, we measured the metallomes of the flies selected for light or dark pigment in the latter study, as well as mutant alleles for the y and e genes after these were crossed in two distinct genetic backgrounds, respectively. Our finding that total body copper correlates with melanin deposition is consistent with the previously shown biochemical link between this metal and cuticle pigmentation (Binks et al. 2010; Turski and Thiele 2007; Zhang et al. 2020; Zhou et al. 2003).

Materials and methods

Fly strains

The generation of fly strains with different levels of cuticle pigmentation through experimental selection during over 100 generations has been described previously in detail (Rajpurohit and Gibbs 2012; Rajpurohit et al. 2016a). The flies were maintained without selection for several months, while the present study was undertaken, but no decline in the stark differences in their pigmentation was observed, suggesting that the selection process had resulted in fixation of alleles defining cuticle pigmentation. We obtained from the Bloomington Drosophila Stock Center (BDSC) stocks Canton-S (CS; #1) and Oregon-R (OR; #5) from which we generated isogenic lines by performing single crosses for twenty consecutive generations. We then crossed into the respective isogenic strains a single male from BDSC stocks y (#169), y (#184), e (#498) and e (#497) and recovered the homozygous stocks for each of these alleles. We repeated this process five times to obtain the four alleles that provide a gradient of lighter and darker cuticle pigment, in two different genetic backgrounds. An isogenic stock from wild type strain Tan3 (Sadraie and Missirlis 2011) was also used as a control. All flies were fed on a yeast-molasses diet (Rempoulakis et al. 2014) and maintained at 25 °C.

Elemental analysis

Male and female flies of the indicated genotype were collected between an age of 4 and 7 days old. The animals were freeze-dried for 8 h to remove water. 20 mg of dry sample was digested in 1 mL of concentrated (65%) metal-free Suprapur® nitric acid (Merck, Kenilworth, NJ, USA) at 200 °C for 15 min in closed vessels of the MARS6 microwave digestion system (CEM Corporation, Matthews, NC, USA). Samples were diluted with Milli-Q water to 5 mL and metal concentrations were measured against calibration curves and a digestion blank in a PerkinElmer Optima 8300 instrument (Shelton, CT, USA), which conducts inductively coupled plasma—optic emission spectrometry (ICP-OES). All measurements fell within the linear range of the calibration curves, adjusted for copper, manganese between [0.02–1 ppm]; iron, zinc [0.1–5 ppm]; calcium, magnesium [0.5–25 ppm]; sodium [1–50 ppm]; potassium, phosphorus [2–100 ppm].

Ferritin quantifications

30 adult females of the indicated genotype were homogenized in 120 mL of ice-cold extraction buffer (137 mM NaCl, 20 mM TRIS–HCL and 1% Triton X-100 pH 7.5). The whole fly homogenates were centrifuged at 18,800×g for 15 min and the supernatant was transferred to a new tube. To remove lipids, the extract was centrifuged at 9600×g for 5 min. The clear supernatant was recovered and assessed on non-reducing SDS-PAGE acrylamide gels stained with Coomassie and Prussian blue stains, as described previously (Rosas-Arellano et al. 2016). The gels were photographed using an ImageQuant™ LAS 400 camera system for producing digital images of gel samples. Band intensities were quantified from three biological replicates using the Image-J software and normalized as described in the results.

Statistical analysis

One-way analysis of variance (ANOVA) was performed between specified groups setting the significance cut-off value at p < 0.05 and using the GraphPad Prism 5 software. A Tukey's post-hoc test was applied to compare the different groups, where the ANOVA indicated statistically significant differences.

Results

Metallomes in strains from the directed evolution experiment

Nine strains described in detail previously (Rajpurohit and Gibbs 2012; Rajpurohit et al. 2016a) were maintained on our normal laboratory diet (Rempoulakis et al. 2014) without further selection. Observing their cuticle pigment, the flies could be readily distinguished between the light (L), control (C) and dark (D) phenotypes, suggesting the respective trait had been fixed in the population (Rajpurohit et al. 2016b). L, C and D strains each comprised of three independently selected (or, in the case of C, separately maintained) populations (Rajpurohit et al. 2016a). Copper, manganese, iron, zinc, calcium, magnesium, sodium, potassium and phosphorus content was measured by ICP-OES in 4 to 7 days-old adult flies (Table 1). We report the average value and standard deviation from triplicate measurements performed on three biological replicates, in separately timed experiments/collections, for each of the nine strains. Given our interest to discover associations between elemental content and pigmentation, we performed statistical analysis of variance using the data collected for the L, C and D strains collectively (n = 9 independent values per group). The L strain showed higher manganese compared to the C and D strains and lower iron compared to the D strain. The C strain showed lower calcium to both the L and D strains, and lower sodium and phosphorus compared to the D strain. The D strain showed higher zinc and magnesium compared to the C and L strains (Table 1). Copper concentrations did not change in a statistically significant manner in the three groups (Table 1 and Fig. 1a). Copper and iron changed in abundance in a consistent gradient according to pigmentation, with iron increasing from 0.09 ± 0.02 mg [Fe]/g fly body dry weight in L strains to 0.11 ± 0.01 mg/g in C strains to 0.12 ± 0.02 mg/g in D strains (Table 1). Although L flies were different to D flies when considered globally for iron, ANOVA between individual strains did not identify statistically significant differences (Fig. 1b).

Table 1

Metallomes of strains selected for differences in pigmentation through experimental evolution

	µg Cu/g weight	µg Mn/g weight	mg Fe/g weight	mg Zn/g weight	mg Ca/g weight	mg Mg/g weight	mg Na/g weight	mg K/g weight	mg P/g weight
Tan3	12.4 ± 2.2	20.8 ± 2.2	0.09 ± 0.01	0.17 ± 0.02	0.45 ± 0.03	0.86 ± 0.06	0.78 ± 0.09	5.6 ± 1.1	7.8 ± 0.5
La	12.7 ± 0.2	18.2 ± 2.2	0.08 ± 0.01	0.13 ± 0.00	0.43 ± 0.06	0.72 ± 0.10	0.70 ± 0.09	5.3 ± 0.7	6.7 ± 1.0
Lb	11.5 ± 2.2	21.2 ± 1.4	0.10 ± 0.01	0.13 ± 0.01	0.46 ± 0.03	0.70 ± 0.07	0.71 ± 0.11	5.3 ± 0.7	6.8 ± 0.6
Lc	11.8 ± 1.8	17.0 ± 1.9	0.11 ± 0.02	0.16 ± 0.01	0.42 ± 0.08	0.67 ± 0.07	0.73 ± 0.09	5.2 ± 0.7	6.9 ± 0.7
L	12.0 ± 1.5	18.8 ± 2.5a	0.09 ± 0.02a	0.14 ± 0.01a	0.44 ± 0.06	0.70 ± 0.07	0.71 ± 0.09ab	5.3 ± 0.6	6.8 ± 0.7ab
Ca	12.5 ± 2.4	13.6 ± 1.1	0.11 ± 0.02	0.15 ± 0.02	0.35 ± 0.04	0.67 ± 0.06	0.67 ± 0.02	5.0 ± 0.4	6.3 ± 0.5
Cb	13.6 ± 3.4	14.8 ± 1.6	0.11 ± 0.01	0.13 ± 0.01	0.34 ± 0.02	0.69 ± 0.10	0.66 ± 0.05	5.1 ± 0.7	6.7 ± 0.9
Cc	11.5 ± 1.6	13.1 ± 0.9	0.11 ± 0.01	0.14 ± 0.01	0.33 ± 0.03	0.66 ± 0.06	0.63 ± 0.01	4.8 ± 0.3	6.3 ± 0.4
C	12.5 ± 2.4	13.8 ± 1.3b	0.11 ± 0.01ab	0.14 ± 0.02a	0.34 ± 0.03a	0.68 ± 0.07	0.66 ± 0.03a	4.9 ± 0.5	6.4 ± 0.6a
Da	12.8 ± 2.0	16.5 ± 0.6	0.11 ± 0.02	0.16 ± 0.01	0.44 ± 0.01	0.79 ± 0.09	0.77 ± 0.10	5.3 ± 0.7	7.3 ± 0.7
Db	14.0 ± 2.1	18.6 ± 1.0	0.11 ± 0.02	0.14 ± 0.01	0.48 ± 0.06	0.84 ± 0.11	0.83 ± 0.12	5.5 ± 0.8	7.8 ± 0.8
Dc	12.5 ± 1.1	12.7 ± 1.6	0.12 ± 0.03	0.18 ± 0.01	0.43 ± 0.03	0.79 ± 0.06	0.73 ± 0.05	5.4 ± 0.5	7.5 ± 0.6
D	13.1 ± 1.7	15.9 ± 2.8b	0.12 ± 0.02b	0.16 ± 0.02b	0.45 ± 0.04	0.81 ± 0.08a	0.78 ± 0.09b	5.4 ± 0.6	7.5 ± 0.7b

A Tukey post-hoc comparison between the light (L), control (C) and dark (D) pigment groups is indicated with minor case letters (statistical difference is present when letters are different between groups). In bold font mean values and standard deviations from the mean are given for all independent measurements of the preceding groups, respectively. Letters are only included when a one-way ANOVA performed on the pool of subgroup replicate measurements identified difference between groups at p < 0.05

Fig. 1

Correlation between body ferritin/iron content and pigmentation strength following selection through experimental evolution. a Plot of mean values (in µg copper per g dry body weight) and standard deviations from the mean of adult flies (4–7 days old; mixed sex) in each three sub-populations of the L, C and D groups. One-way ANOVA showed no differences between the groups. b Similar plot for iron (values in mg iron per g dry body weight). c SDS-PAGE under non-reducing conditions followed by Prussian blue staining to reveal ferritin iron. d The same type of gel stained with Coomassie blue to reveal all proteins. The ferritin complex is readily distinguishable due to its abundance, stability and high molecular weight. e Quantification from 3 independent experiments of ferritin iron gels. One-way ANOVA followed by a Tukey post-hoc test reported a statistically significant (p < 0.05) difference between the LA and the DA and DB groups. Lower case letters indicate statistical comparisons between groups; only groups without overlapping letters are show statistical difference to each other. f The mean value for body iron as determined in (b) was normalized for each strain against the wild type TAN3 control and plotted against the values in (e). The result of regression analysis is indicated. Variations in circle color correspond to the different pigmentation intensity in the L, C and D strains

Ferritin iron determinations

We have previously shown significant correlation between total body iron and ferritin iron in flies (Gutierrez et al. 2013; Sadraie and Missirlis 2011). We therefore isolated proteins from 4 to 7-days-old mated female flies and analyzed ferritin iron (Fig. 1c) and ferritin protein (Fig. 1d) in each of the strains. We noted a correlation whereby the L strains had least ferritin iron or protein between the three groups, whereas the D strains had most. We quantified ferritin iron through densitometric analysis (Fig. 1e). The results showed a statistically significant difference between the LA strain, which had similar ferritin iron content to the wild type Tan3 control strain, and strains DA and DB, which showed a two-fold increase in iron content compared to Tan3. To further demonstrate that the L flies were lower in iron than the D flies (controls having intermediate values), we plotted the fold difference of body iron content of each individual strain to Tan3 against the same ratio for ferritin iron content (Fig. 1f). A linear correlation was found with an R2 value of 0.74. Importantly, the L strains had the lowest ratios, the C strains presented intermediate values and the D strains showed higher values. From these data, we conclude that during the experimental selection for dark or light cuticle, D strains were also selected for higher ferritin iron content, whereas L strains showed diminished ferritin iron.

Metallomes in strains from the genetic mutation experiment

We next asked whether mutation in a single gene that alters cuticle pigment would also produce changes in the metallome. Here, we were primarily interested in testing whether the production of excess melanin would also correlate with a change in iron in flies sharing similar genetic background, bar a single mutation. We decided to work with two classical mutants, y and e, and two different alleles for each of these, namely y, y and e, e, respectively. The mutant alleles were first backcrossed for five generations into two different isogenic backgrounds generated from OR and CS wild type flies. Metallomes from the resulting stocks are presented (Table 2). Iron did not change between the y mutants (L), wild type flies (C), and e mutants (D) maintaining the same value of 0.13 ± 0.01 mg [Fe]/g dry weight in all cases (Table 2). This showed that it is possible to uncouple melanin deposition in cuticle from body iron content. Zinc was the only element that showed a statistically significant difference between y and e flies; it was 0.21 ± 0.03 mg [Zn]/g dry weight in the y mutants (L) versus 0.18 ± 0.03 mg [Zn]/g dry weight in the e mutants (D). Zinc storage is associated with the metal’s retention in the Malpighian tubules (Tejeda-Guzman et al. 2018), but we found in this experiment that L flies were higher in zinc content than D flies, whereas in the selection experiment the L flies were lower than D flies. Therefore it is unlikely that zinc content correlates with pigmentation more generally.

Table 2

Metallomes of mutant alleles of y and e after six generations of back crossing to isogenic Canton-S and Oregon-R stocks

	µg Cu/g weight	µg Mn/g weight	mg Fe/g weight	mg Zn/g weight	mg Ca/g weight	mg Mg/g weight	mg Na/g weight	mg K/g weight	mg P/g weight
CS y1	9.9 ± 1.8	12.5 ± 3.9	0.13 ± 0.01	0.21 ± 0.04	0.73 ± 0.24	0.92 ± 0.07	1.1 ± 0.0	6.5 ± 0.7	8.3 ± 0.9
OR y1	7.7 ± 3.3	11.7 ± 1.3	0.13 ± 0.01	0.19 ± 0.03	0.58 ± 018	0.95 ± 0.09	1.1 ± 0.1	6.5 ± 1.2	8.7 ± 0.5
CS y2	10.4 ± 1.3	14.0 ± 3.7	0.14 ± 0.01	0.23 ± 0.03	086 ± 0.22	0.96 ± 0.03	1.1 ± 0.1	6.6 ± 1.0	8.5 ± 0.5
OR y2	8.9 ± 2.5	10.5 ± 1.7	0.13 ± 0.00	0.23 ± 0.03	0.65 ± 0.08	0.98 ± 0.09	1.2 ± 0.0	6.6 ± 1.3	8.7 ± 0.7
L	9.2 ± 2.3	12.2 ± 2.8	0.13 ± 0.01	0.21 ± 0.03a	0.71 ± 0.20	0.95 ± 0.07	1.1 ± 0.1	6.5 ± 0.9	8.6 ± 0.6
CS	11.0 ± 1.1	15.3 ± 2.5	0.14 ± 0.01	0.20 ± 0.01	1.02 ± 0.33	0.96 ± 0.04	1.2 ± 0.1	6.5 ± 0.5	8.3 ± 0.5
OR	8.6 ± 1.7	11.2 ± 3.3	0.13 ± 0.01	0.19 ± 0.03	0.81 ± 0.19	1.03 ± 0.08	1.2 ± 0.1	6.5 ± 1.1	9.2 ± 1.1
Tan3	10.3 ± 2.1	16.4 ± 3.2	0.12 ± 0.01	0.18 ± 0.02	0.86 ± 0.29	0.96 ± 0.08	1.0 ± 0.2	6.3 ± 0.5	8.1 ± 0.7
C	10.0 ± 1.8	14.3 ± 3.5	0.13 ± 0.01	0.19 ± 0.02ab	0.90 ± 0.29	0.98 ± 0.08	1.2 ± 0.2	6.4 ± 0.5	8.5 ± 0.7
CS es	9.3 ± 2.4	7.7 ± 1.0	0.12 ± 0.02	0.18 ± 0.03	0.51 ± 0.19	0.83 ± 0.14	1.1 ± 0.2	5.9 ± 1.4	7.7 ± 0.6
OR es	12.1 ± 8.8*	15.5 ± 11.0*	0.13 ± 0.01	0.17 ± 0.03	0.90 ± 0.21	1.04 ± 0.12	1.2 ± 0.2	6.8 ± 1.2	9.0 ± 0.2
CS e11	11.4 ± 1.6	14.0 ± 5.6	0.15 ± 0.00	0.20 ± 0.02	0.81 ± 0.45	0.93 ± 0.12	1.2 ± 0.1	6.5 ± 1.3	8.4 ± 1.3
OR e11	9.6 ± 2.5	12.5 ± 2.6	0.13 ± 0.00	0.18 ± 0.01	0.69 ± 0.19	1.02 ± 0.01	1.3 ± 0.1	6.6 ± 0.9	8.7 ± 0.7
D	10.6 ± 4.3	12.4 ± 6.2	0.13 ± 0.01	0.18 ± 0.03b	0.73 ± 0.28	0.96 ± 0.13	1.2 ± 0.2	6.4 ± 1.1	8.4 ± 0.9

Statistical analysis was performed as described in Table 1. In bold font mean values and standard deviations from the mean are given for all independent measurements of the preceding groups, respectively. Asterisks denote a group that showed high variance between replicate measurements for copper and manganese

Copper content correlated with pigmentation in both experiments

The example of zinc discussed above led us to correlate the results from the two experiments described in this paper for all metals (Fig. 2). The outcome of this analysis was striking with respect to copper, where a linear regression between the two experiments gave an R2 value of 1. Copper values for L flies in the first experiment were 12.0 ± 1.5 µg [Cu]/g dry weight versus 13.1 ± 1.7 µg [Cu]/g dry weight for D flies (Table 1), i.e. only 9% increase. In the second experiment, L flies had 9.2 ± 2.3 µg [Cu]/g dry weight versus 10.6 ± 4.3 µg [Cu]/g dry weight for D flies (Table 2), which amounted to a 15% increase. Both of these results were not considered on their own statistically significant. We note, however, the consistent trend in both experiments, which is specific to copper. Iron also separated the three groups in this analysis, but the effect was fully driven from the first experiment, resulting in a flat line (Fig. 2). No other metal showed a consistent order between the L, C and D groups in this type of analysis. We therefore conclude that copper content correlated with pigmentation strength in both experiments presented here.

Fig. 2

Correlation between body copper content and pigmentation strength in D. melanogaster. For each metal, we plotted the mean value (in mg [metal]/g body dry weight) for L, C and D strains, respectively; on the X-axis the result from the selection experiment and on the Y-axis the result from the mutation experiment. The intensity of coloration of the circles corresponds to the intensity of coloration of the pigments. Linear regression analysis was performed for copper and iron because these were the only metals for which L, C and D flies were distributed along the X-axis in direct relation to their pigmentation. The positive correlation between the two experiments for copper suggests that darker flies accumulate more copper in their bodies

Discussion

Causation versus correlation in experimental evolution observations

The original study (Rajpurohit et al. 2016a) that preceded and inspired the work we described here had been performed against a considerable background of observations from fieldwork (Parkash et al. 2008) or laboratory settings (Ramniwas et al. 2013) formulating the ‘melanism-desiccation’ hypothesis, which suggested a functional (causal) correlation between these phenotypic traits in flies. A discussion of why in some populations two traits may be co-segregating, whereas in others not, has already been offered (Rajpurohit et al. 2016a). The argument boils down to the fact that adaptation under selective pressure takes different routes in most settings and is largely influenced by the pre-existing genetic variability in any given population (Gibbs 1999; Kapun et al. 2020). In addition, pleiotropic effects of single gene mutations complicate the picture (Massey et al. 2019a). Therefore, the documentation of a clear correlation, as is for example the association of increased ferritin iron in flies with higher melanism (Fig. 1f) in populations selected on the basis of their cuticle phenotype (Rajpurohit et al. 2016a), was further interrogated in a differently controlled genetic study, based on known genes that severely affect cuticle pigmentation in D. melanogaster. In this case, the correlation was not shown to hold out (Table 2 and Fig. 2).

Correlation of metal content with specific metalloenzyme usage

Previous studies of fly metallomes have suggested a high degree of conservation in their relative concentrations between different species from the Tephritidae and Drosophilidae families (Rempoulakis et al. 2014; Sadraie and Missirlis 2011). In the case of transition metals that show high-affinity binding to proteins (zinc, iron, copper, manganese and molybdenum), these studies proposed that the predominant factor that determines how much metal is concentrated in flies is the abundance of the metallo-enzymes that require the different metals. In addition to this factor, one needs to consider specific metal storage mechanisms, like the accumulation of zinc storage granules (Tejeda-Guzman et al. 2018) or, in the case of iron, of the ferritin complex (Hernandez-Gallardo and Missirlis 2020). Several studies in D. melanogaster have correlated total body iron to ferritin iron content (Bettedi et al. 2011; Gonzalez-Morales et al. 2015; Rempoulakis et al. 2014; Sadraie and Missirlis 2011; Xiao et al. 2014). This correlation is perhaps expected given that each ferritin complex concentrates 1000 of iron atoms. Recently, we made the observation that manganese accumulates rapidly in the body of young D. melanogaster adult flies of both sexes, specifically during the first 5 to 6 days of their life, after which the daily rate of increase becomes imperceptible (Vasquez-Procopio et al. 2020). During the same period, at least one manganese-dependent enzyme, superoxide dismutase was also found to increase its activity. Here, we observed correlation between copper content and pigmentation in D. melanogaster (Fig. 2). The critical reader will have noted that the data supporting this correlation are not particularly compelling; in neither of two independent sets of experiments did the differences in copper accumulation between the different groups reach statistical significance (Tables 1, 2). We therefore rely on the strong correlation of trends in the copper measurements between the two experiments (Fig. 2). In the second experiment, the D group value could be skewed, however, by a highly variable measurement in the OR e flies (Table 2). Unfortunately, all flies used in this study were disposed of during the Covid-19 contingency and we cannot, regretfully, revisit this issue on the same set of flies. With these considerations in mind, and given the known requirement of copper for pigmentation (Binks et al. 2010; Turski and Thiele 2007; Zhang et al. 2020; Zhou et al. 2003), in addition to other physiological processes (Comstra et al. 2017; Kirby et al. 2008; Sellami et al. 2012; Theotoki et al. 2019; Wang et al. 2018), we conclude this report suggesting that the observed correlation between copper content and pigmentation in D. melanogaster could be explained by an increased requirement for tyrosinase activity for melanin production in this species. To further test this hypothesis, an unambiguous identification of the copper-dependent enzyme involved in epidermal pigment melanization would be helpful (Riedel et al. 2010).