Why did dark colored pocket mice first appear in a population of light colored rock pocket mice?

Identifying the genes underlying adaptation is a major challenge in evolutionary biology. Here, we describe the molecular changes underlying adaptive coat color variation in a natural population of rock pocket mice, Chaetodipus intermedius. Rock pocket mice are generally light-colored and live on light-colored rocks. However, populations of dark (melanic) mice are found on dark lava, and this concealing coloration provides protection from avian and mammalian predators. We conducted association studies by using markers in candidate pigmentation genes and discovered four mutations in the melanocortin-1-receptor gene, Mc1r, that seem to be responsible for adaptive melanism in one population of lava-dwelling pocket mice. Interestingly, another melanic population of these mice on a different lava flow shows no association with Mc1r mutations, indicating that adaptive dark color has evolved independently in this species through changes at different genes.

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Keywords: natural selection‖pigmentation‖melanocortin receptor‖ adaptation‖agouti

A key problem in evolutionary biology is to connect genotype with phenotype for fitness-related traits (1, 2). Finding the genes underlying adaptation has been difficult for a number of reasons. First, it requires that we identify traits that are ecologically important and that we have some understanding of how these traits affect fitness in different environments. Second, phenotypic variation of ecological relevance has often been studied in species for which we have little genetic information, making the genetic basis of the traits difficult to analyze. For example, one of the best known cases of adaptation involves color morphs of the peppered moth, Biston betularia. Yet, after more than a half-century of study, the genes responsible for these color differences remain unknown (3). Finally, many fitness-related traits are quantitative and are unlikely to have a simple genetic basis. Because of these difficulties, the molecular basis for adaptation is known in only a handful of cases. Most involve either biochemical polymorphisms (4–6) or response to human disturbance, such as heavy metal tolerance in plants, insecticide resistance, warfarin resistance in rats, or antibiotic resistance (7), and in many cases, the specific nucleotide changes have not been identified.

The rock pocket mouse, Chaetodipus intermedius, provides a useful system for studying the genetics of adaptation. This species is found in rocky habitats in southern Arizona, New Mexico, and in adjacent areas in northern Mexico. Classic studies (8, 9) in the 1930s revealed a strong correlation between the color of the dorsal pelage and the color of the substrate on which C. intermedius live. In most places, these mice have a sandy dorsal pelage and white underbelly, and they inhabit light-colored rocks. In several different regions, however, these mice are found on lava flows. The mice from these lava sites are typically melanic, with dark-colored dorsal hairs and white underbellies. Most of the lava flows are surrounded by light-colored substrate and are isolated from one another by hundreds of kilometers, raising the possibility that melanic mice have evolved independently on different lava flows. The close match between the color of the mice and the color of the substrate on which they live is thought to be an adaptation against predation (8, 9). Owls are common predators of these mice, and experiments by Dice (10) on deer mice showed that owls can effectively discriminate between light and dark mice even at night. Thus, it is likely that owls exert strong selection on coat color in C. intermedius, and that differences in coat color are an adaptation for crypsis. This view is strengthened by the strong correlation between substrate color and coat color across 18 different populations in Arizona and New Mexico, ranging from very light to very dark (9).

This system is amenable to genetic analysis because the biochemistry, development, and genetics of the pigmentation process have been intensively studied in other mammals. Approximately 80 genes have been identified that affect coat color in the laboratory mouse, and more than one-quarter of these have been molecularly characterized (11). A key distinction in melanogenesis is between the production of eumelanin (brown or black pigment) and pheomelanin (yellow or red pigment). This difference is controlled in large part by the interaction of two proteins, the melanocortin-1-receptor (MC1R) and the agouti-signaling protein (12–14). MC1R is a G protein-coupled receptor that is highly expressed in melanocytes, the specialized cells that are the site of pigment production. A peptide hormone, α-melanocyte-stimulating hormone, typically activates MC1R, resulting in elevated levels of cAMP and increased production of eumelanin. Agouti is an antagonist of MC1R; local expression of agouti results in decreased synthesis of eumelanin and increased production of pheomelanin. Wild-type laboratory mice have banded hairs on their dorsum; these hairs have a black tip, a middle yellow band, and a black base (the agouti hair). This banding is caused by a pulse of agouti expression during the middle phase of the hair cycle, resulting in deposition of pheomelanin during the middle of hair growth and deposition of eumelanin at the beginning and end of hair growth. Mutations at both agouti (14, 15) and at Mc1r (16) have been identified that produce unbanded dorsal hairs in the laboratory mouse. We observed banded dorsal hairs in all light C. intermedius, but unbanded, uniformly melanic hairs in all dark C. intermedius, suggesting a possible role for either agouti or Mc1r.

We used association studies with these candidate genes to investigate the genetic basis of adaptive melanism in C. intermedius. Here, we report that mutations at Mc1r are perfectly associated with coat color differences in one population of these mice, but that another population of mice shows no association between Mc1r mutations and coat color phenotype.

Samples.

We sampled mice from two of the darkest lava flows, the Pinacate lava flow in Arizona and the Pedro Armendaris lava flow in New Mexico, separated by ≈750 km. We also sampled mice from light rocks adjacent to each lava flow; the distance between light and dark rock was ≈3 km at each site. In addition, mice were sampled from light rocks at two other areas in Arizona (Avra Valley and Portal), both situated approximately midway between the Pinacate site and the Armendaris site (Fig. 1A). Mice were live trapped from each site; exact locations, sample sizes, and specimen numbers were as follows. (i) Pedro Armendaris dark rocks: Pedro Armendaris lava bed, Hard Luck Crossing, Socorro County, New Mexico, 33°30.8′N, 107°0.2′W (n = 9, HEH 521, 561–568); Pedro Armendaris light rocks: Fra Cristobal Mountains, Walnut Springs, Socorro County, New Mexico, 33°19.9′N, 107°7.1′W (n = 12, HEH 571, 573–582); (ii) 4.0 mi. E of Portal, Cochise County, Arizona, 31°54.9′N, 109°3.7′W (n = 5, MWN 1394, 1395, 1399–1401); (iii) Avra Valley Road, 1.0 mi. W of I-10, 15 mi. NNW of Tucson, Pima County, Arizona, 32°23.8′N, 111°8.5′W (n = 15, MWN 1327, 1328, 1331, 1333–1335, 1359, 1361–1367, 1370); (iv) Pinacate dark rocks: Cabeza Prieta National Wildlife Refuge, Pinacate Lava Bed, Yuma County, Arizona, 32°6.6′N, 113°30.4′W (n = 18, MWN 1371–1379, 1381–1387, 1414, 1416); Pinacate light rocks: Cabeza Prieta National Wildlife Refuge, western edge of O'Neill Hills, Yuma County, Arizona, 32°6.5′N, 113°22.5′W (n = 11, MWN 1402–1412). Museum specimens were prepared and have been deposited in the vertebrate collections of the Department of Ecology and Evolutionary Biology at the University of Arizona. DNA was extracted from frozen spleen or liver by following standard protocols.

Why did dark colored pocket mice first appear in a population of light colored rock pocket mice?

(A) Collecting localities, substrate color, and mouse color. Sample sizes at each site are given. Pie charts indicate the proportion of light and dark mice at each site. Rectangles indicate the substrate color at each site. Mice from Pinacate and Armendaris were sampled on dark lava and also on light rock adjacent to the lava, whereas mice from Avra Valley and Portal were sampled only on light rock. (B) Light and dark C. intermedius from the Pinacate locality on light and dark rocks.

Agouti.

Approximately 1.5 kb of intronic DNA from the agouti locus was sequenced in a subset of mice (n = 36), including representatives from all six collecting sites. Conserved regions in the first two translated exons of agouti were identified from alignment of human and mouse agouti sequences, and the intervening intron was PCR amplified by using primers F1 (5′-GAT GTC ACC CGC CTA CTC CT-3′) and R1 (5′-TGA TCT TTT TGG ATT TCT TGT TCA-3′) in 35 cycles of 94°C for 1 min, 55°C for 1 min, and 72°C for 2 min. This reaction produced a 1,500-bp fragment from which we sequenced 1,447 bp. Diploid PCR products were sequenced directly on an ABI 377 automated sequencer (Applied Biosystems).

Mc1r.

Both alleles of the entire Mc1r gene (954 bp) were sequenced in all 69 mice. The Mc1r locus consists of a single exon encoding a 317-aa protein. Human and mouse Mc1r sequences were aligned, and PCR amplification primers were designed in conserved regions at the beginning and end of the coding region: F1 5′-TCT GGG TTC TCT CAA CTC CA-3′ and R2 5′-AAA GCA TAG ATG AGG GGG TC-3′. These primers were used to amplify an 869-bp fragment in 35 cycles of 94°C for 1 min, 56°C for 1 min, and 72°C for 2 min. This fragment was sequenced, and nested primers were designed for genome walking to capture the 5′ and 3′ ends of Mc1r. Genomic DNA was digested with PvuII and StuI, and a 48-bp adapter containing two nested primer sequences was ligated to digested DNAs (Genome Walker Kit, K1807, CLONTECH). The 5′ end of Mc1r was recovered in a 1-kb StuI fragment, and the 3′ end of Mc1r was recovered in a 3-kb PvuII fragment. These fragments were sequenced, and new PCR primers were designed to amplify the entire 951-bp coding region (F11 5′-ATG CCT GGG CTG ACC TGT-3′; R9 5′-GGG CTC TTG TTC CTG ATG-3′). For all individuals, diploid PCR products were sequenced directly. From these sequences, we were able to identify putative heterozygous sites. Individual alleles from these PCR products were then cloned (Topo TA Cloning Kit, Invitrogen), and clones were sequenced to resolve haplotypes and confirm heterozygous sites. Two to five clones were sequenced per individual, until both alleles were captured. PCR error can be common in sequences derived from a single clone but is typically uncommon in direct amplification and sequencing of genomic DNA, which begins with many template sequences. Thus, by the combination of direct sequencing and sequencing of multiple clones for each individual, we were able to identify true heterozygous sites, resolve phase, and eliminate PCR errors.

Mitochondrial Genes.

We assessed population structure among light and dark mice in the Pinacate population from mitochondrial DNA sequences. The mitochondrial ND3 gene (345 bp) and COIII gene (783 bp) were PCR amplified by using conserved primer sequences designed from the published mouse sequence (GenBank accession no. {"type":"entrez-nucleotide","attrs":{"text":"V00711","term_id":"13838"}}V00711). PCR products were sequenced directly as described above.

Data Analysis.

Sequences were aligned by using the sequencher program (Gene Codes, Ann Arbor, MI) and verified through visual inspection of all chromatograms. Polymorphic sites were identified, and these sites were used to test for associations with pigmentation phenotypes. The strength of genotype–phenotype associations was measured by using Fisher's exact test. Nucleotide heterozygosity, π, was calculated from the number of polymorphic sites and the frequencies of polymorphic nucleotides (17). Phylogenetic relationships of mitochondrial alleles were estimated by using parsimony and neighbor-joining algorithms in PAUP* (18).

Mice were collected from six sites in four geographic regions, including both light and dark substrates (Fig. 1A). In all cases, we observed a close match between substrate color and the color of the dorsal pelage (Fig. 1B). Mice from Portal and Avra Valley were uniformly light. Of the 29 mice from the Pinacate site, 16 of 18 mice (89%) caught on the dark lava were dark, whereas 10 of 11 mice (91%) caught on the light-colored rocks were light (Fig. 1B). Similarly, of the 20 mice from Armendaris, 7 of 8 mice (88%) caught on the dark lava were dark, whereas all 12 mice (100%) caught on the light-colored rocks were light. In these populations, phenotypic variation in color was largely discrete rather than quantitative; all mice were easily classified as light or melanic based on the presence or absence of a subterminal band of pheomelanin on individual hairs on the dorsum.

In principle, several approaches are possible for identifying the genes underlying a phenotype of interest. However, C. intermedius are difficult to breed in captivity, and therefore any approach that relies on crosses is not practical. Instead, we used association studies with candidate genes to identify mutations responsible for the observed phenotypic differences. Approximately 1.5 kb of intronic DNA from the agouti locus were sequenced in 36 mice, including representatives from all sites. The black-and-tan mutation in the laboratory mouse produces a dark dorsum with unbanded hairs and is caused by an insertion disrupting the dorsal promoter, ≈15 kb 5′ of the start codon (15). We reasoned that a similar mutation in C. intermedius might be detected through linkage to polymorphisms at neutral sites over moderate genomic distances (0–50 kb, depending on the age of the mutation). We observed 16 single-nucleotide polymorphisms and 5 insertion/deletion polymorphisms, including several at intermediate frequencies; none showed an association with coat color. There are two possible explanations for this lack of association: Either agouti is not a principal determinant of the observed phenotypic differences, or agouti is involved but there is little or no linkage disequilibrium between the sites we surveyed and the functional site(s).

Both alleles of the entire Mc1r gene (954 bp) were sequenced in the 69 mice in Fig. 1. Twenty-four single-nucleotide polymorphisms were observed: 15 were synonymous and 9 were nonsynonymous. Four of the nine amino acid polymorphisms were observed only in the dark mice from the Pinacate locality (Arg-18 → Cys, Arg-109 → Trp, Arg-160 → Trp, and Gln-233 → His). These four amino acid variants were present at high frequency (82%) among the Pinacate dark mice and were in complete linkage disequilibrium with one another. All other Mc1r amino acid polymorphisms were present at low frequencies and showed no association with mouse color. The distribution of Mc1r nucleotide variation among light and melanic mice from the Pinacate site is shown in Table 1.

Several observations suggest that one or more of these four amino acid mutations (sites 18, 109, 160, and 233) are responsible for the light/dark phenotypic differences seen in the Pinacate population. First, there is a perfect association between genotype and phenotype (Table 2). In a single panmictic population with no assortative mating, an association between genotypic and phenotypic variation is unexpected unless the gene or a tightly linked gene is responsible for the phenotype. However, population structure can produce a spurious association even when a gene is not involved in the phenotypic differences (19). We tested this hypothesis by sequencing the mitochondrial COIII and ND3 genes in all mice from the Pinacate locality (n = 29). A phylogeny of these mitochondrial genes shows that haplotypes from light and dark mice are intermingled, providing no evidence for hidden population structure (Fig. 2). Because most gene flow in Chaetodipus is likely mediated by males (20) and because the mitochondrial genome has an effective population size one-quarter the effective size of autosomes, mitochondrial DNA provides a sensitive marker for detecting population structure. These mtDNA data also provide further evidence of selection on the dark/light phenotypic differences. In the Pinacate population, the frequency of dark mice on light substrate (9%) and the frequency of dark mice on dark substrate (89%) can be used to estimate the degree of population differentiation for phenotypic differences between these two adjacent areas [FST(Phenotype) = 0.62]. This value is >10 times larger than the corresponding value for mtDNA [FST(mtDNA) = 0.01], consistent with the idea that selection is driving the phenotypic differences. Future studies based on larger samples using this approach will enable us to estimate the magnitude of selection from models of migration–selection balance.

Genotype–phenotype associations between Mclr alleles and coat color in C. intermedius from the Pinacate site

GenotypeMouse phenotype
LightDark
DD011
Dd06
dd120

Why did dark colored pocket mice first appear in a population of light colored rock pocket mice?

Phylogeny of combined mitochondrial COIII and ND3 sequences of the 29 C. intermedius from the Pinacate site. Chaetodipus penicillatus and Chaetodipus baileyi were used as outgroups; all individuals in these species are light. Light and dark mice are indicated with open and filled circles, respectively. Unweighted parsimony analysis using paup* resulted in a single shortest tree (length 132; consistency index 0.765). Numbers on branches indicate bootstrap values. The same topology was obtained when transversions were weighted 2 or 10 times more than transitions using parsimony. The same topology was also obtained by using the Neighbor-Joining algorithm.

Second, all four nonsynonymous substitutions that show an association with coat color cause a change in amino acid charge. At the first three amino acid sites (18, 109, 160), the change is from a positively charged arginine to an uncharged amino acid. At the fourth site (233), an uncharged glutamine is replaced with a positively charged histidine. Additionally, all four mutations are located in functionally important regions of the receptor that are likely to be involved in interactions with other proteins. Two of the substitutions are located in extracellular regions (amino acid sites 18 and 109) and two are located in intracellular regions (sites 160 and 233); none are located in transmembrane domains of the receptor (Fig. 3). A number of previously described dark phenotypes at the extension locus in the mouse (16) and other organisms (21–25) are due to single amino acid mutations in MC1R, although none of the mutations described here have been previously reported. In the laboratory mouse, the tobacco (Etob) and the sombre (Eso) darkening alleles are caused by mutations in the first intracellular and first extracellular domains, respectively. Etob encodes a melanocortin-1-receptor that remains responsive to α-melanocyte-stimulating hormone but is hyperactive, whereas Eso encodes a constitutively active receptor (16). Like the Etob allele in Mus, the melanic C. intermedius reported here have dark color restricted to the dorsum.

Why did dark colored pocket mice first appear in a population of light colored rock pocket mice?

Aligned Mc1r amino acid sequences (top four rows) and nucleotide sequences (bottom four rows) from C. intermedius light and dark alleles, C. penicillatus (Cp), and C. baileyi (Cb). Four amino acid differences that distinguish light and dark alleles are boxed.

Third, the dark allele is dominant over the light allele, consistent with observations of Mc1r mutations in the mouse (11, 16) and other organisms (21–25). In the laboratory mouse, loss-of-function mutations at Mc1r are recessive and result in light color, whereas gain-of-function alleles are dominant and result in dark color (16). All heterozygous mice observed at the Pinacate site are dark with unbanded hairs and are phenotypically similar to the homozygous dark mice.

Finally, the pattern of nucleotide variation observed among Mc1r alleles from the Pinacate site suggests the recent action of positive selection. Thirteen polymorphic sites are variable among the light haplotypes, whereas only one site is variable among the dark haplotypes (Table 1). The ratio of variant to invariant sites is significantly different between dark and light alleles (1/953 and 13/941, Fisher's exact test, P < 0.01). The average level of nucleotide diversity among light alleles (π = 0.21%) is >10 times greater than nucleotide diversity among dark alleles (π = 0.01%). The reduced variability seen among the dark Mc1r alleles is the expected pattern if selection has recently fixed an adaptive substitution (26–28). A single silent site (nucleotide 633) is in complete linkage disequilibrium with the amino acid substitutions present in all dark animals; this pattern is consistent with genetic hitchhiking of this silent site on the selected haplotype. However, two standard tests of neutrality (29, 30) fail to detect selection on Mc1r in the Pinacate population, either in the total sample or in the subpopulations on light or dark substrate. The McDonald–Kreitman test (29) compares the ratio of synonymous to nonsynonymous changes within and between species; here, this ratio is changed only slightly by the four amino acid substitutions that distinguish the light and dark Mc1r alleles. The HKA test (30) compares variation within and between species for two different genes (in this instance, Mc1r and mtDNA); however, the level of nucleotide variability at Mc1r is not significantly reduced even in the subpopulation on dark substrate, due to the presence of Mc1r heterozygotes.

Because of complete linkage disequilibrium among amino acid sites 18, 109, 160, and 233 (Table 1), our data do not allow us to determine the relative contributions of each of these sites to the observed differences in color, nor do they rule out the possibility that a linked gene is responsible for observed phenotypic differences. The latter possibility seems unlikely for the reasons described above and also because no candidate pigmentation genes are closely linked to Mc1r in either humans or Mus. In the laboratory mouse, single amino acid changes at Mc1r are sufficient to produce a dark color (16). Functional studies using Mc1r constructs in an in vitro expression system can be used to measure the relative effect of the four mutations on the activation of the receptor. Preliminary results from cAMP assays indicate that the dark allele encodes a hyperactive receptor relative to the light allele, providing strong support for the role of Mc1r in the observed phenotypic differences (H.E.H., H. Fujino, J. Regan, and M.W.N., unpublished data). Using this approach with constructs that contain each of the four mutations individually and in combination, we hope to distinguish between two different models for Mc1r evolution: (i) a single amino acid difference is responsible for the observed phenotypic differences, and the other amino acid variants have hitchhiked with the selected site, or (ii) two or more amino acid variants (acting additively or epistatically) are required to produce the observed phenotypic differences.

Strikingly, the data presented here implicate amino acid changes at Mc1r in the dark phenotype in the Pinacate population but not in the Armendaris population. Only one Mc1r amino acid polymorphism (Ala-285 → Thr) was observed among the 40 alleles from Armendaris; this variant was present in 2 of 24 alleles in light mice and 0 of 16 alleles in dark mice. Two silent polymorphisms were present at intermediate frequencies (48%) among the 40 Armendaris alleles, but neither showed any association with mouse color. In fact, the frequencies of these polymorphisms were very similar among dark (50%) and light (45%) mice. The absence of an association between nucleotide polymorphisms in the Mc1r coding region and mouse color at Armendaris also makes it unlikely that unsurveyed sites in the promoter region are responsible for the phenotypic differences, unless linkage disequilibrium decays extremely rapidly. The promoter region of Mc1r has been well characterized in both mice (31) and humans (32), and it lies ≈500 bp upstream of the start codon. In general, patterns of nucleotide variation in the coding region of Mc1r in the samples from Armendaris (both light and dark), Portal, and Avra Valley were unexceptional. Levels of nucleotide diversity ranged from 0.11% to 0.19%, similar to the value seen for the light animals from the Pinacate site.

The fact that the four mutations seen in the melanic Pinacate mice (Arg-18 → Cys, Arg-109 → Trp, Arg-160 → Trp, and Gln-233 → His) are absent in the melanic mice from Armendaris indicates that a similar dark phenotype has evolved independently on these different lava flows and has done so through different genetic changes, although the gene(s) involved in the Armendaris population have not yet been identified. The distinct molecular basis for the same phenotype in two different populations provides strong evidence for convergent phenotypic evolution on a relatively short timescale; both lava flows are less than one million years old.

Whereas Mc1r darkening mutations have been identified in other species (16, 21–25), the ecological context for the changes either is not understood (24, 25) or is due to artificial selection (22, 23). Owls are important predators of pocket mice (8, 9) and are known to discriminate between light and dark mice on light and dark substrates even when foraging at night under low light intensity (10). Thus, it is likely that owls play an important role in selecting for concealing coloration. The data reported here present a rare example of the molecular changes underlying adaptation in a simple and natural ecological setting.

We thank K. Drumm, E. Gering, B. Haeck, P. Kennedy, J. Kim, and A. Richardson for help in the field and in the lab, and G. Barsh, P. Hedrick, P. Kennedy, B. Payseur, and M. Saunders for useful discussions. We give special thanks to Thomas Waddell and Armendaris Ranch, Turner Enterprises, Inc., for access to their property, and to Vergial Harp at Cabeza Prieta National Wildlife Refuge. This work was supported by the National Science Foundation and the National Institutes of Health.

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