Open Access

Visual adaptation in Lake Victoria cichlid fishes: depth-related variation of color and scotopic opsins in species from sand/mud bottoms

BMC Evolutionary BiologyBMC series – open, inclusive and trusted201717:200

https://doi.org/10.1186/s12862-017-1040-x

Received: 28 March 2017

Accepted: 7 August 2017

Published: 22 August 2017

Abstract

Background

For Lake Victoria cichlid species inhabiting rocky substrates with differing light regimes, it has been proposed that adaptation of the long-wavelength-sensitive (LWS) opsin gene triggered speciation by sensory drive through color signal divergence. The extensive and continuous sand/mud substrates are also species-rich, and a correlation between male nuptial coloration and the absorption of LWS pigments has been reported. However, the factors driving genetic and functional diversity of LWS pigments in sand/mud habitats are still unresolved.

Results

To address this issue, nucleotide sequences of eight opsin genes were compared in ten Lake Victoria cichlid species collected from sand/mud bottoms. Among eight opsins, the LWS and rod-opsin (RH1) alleles were diversified and one particular allele was dominant or fixed in each species. Natural selection has acted on and fixed LWS alleles in each species. The functions of LWS and RH1 alleles were measured by absorption of reconstituted A1- and A2-derived visual pigments. The absorption of pigments from RH1 alleles most common in deep water were largely shifted toward red, whereas those of LWS alleles were largely shifted toward blue in both A1 and A2 pigments. In both RH1 and LWS pigments, A2-derived pigments were closer to the dominant light in deep water, suggesting the possibility of the adaptation of A2-derived pigments to depth-dependent light regimes.

Conclusions

The RH1 and LWS sequences may be diversified for adaptation of A2-derived pigments to different light environments in sand/mud substrates. Diversification of the LWS alleles may have originally taken place in riverine environments, with a new mutation occurring subsequently in Lake Victoria.

Keywords

Environmental heterogeneity Color vision Scotopic vision Visual adaptation Cichlid Lake Victoria

Background

Lake Victoria harbors more than 500 endemic cichlid species [1, 2]. They are thought to have undergone explosive adaptive radiation during a very short evolutionary period, because Lake Victoria dried up at the end of the Pleistocene and was refilled only 15,000 years ago [3]. Lake Victoria cichlid species share polymorphic nucleotide sites [47] due to this short radiation period. Nevertheless, fixed genetic differences were thought to exist between species at loci responsible for the adaptive traits distinguishing the various forms from one another. The long-wavelength-sensitive (LWS) opsin gene has been identified as one such gene possessing fixed differences among species, and this has been interpreted as an adaptation to contrasting light regimes [8].

Vertebrate visual pigments consist of a light-absorbing component, the chromophore, and a protein moiety, the opsin [9]. Spectral sensitivity is determined by the chromophore [with 11-cis retinal (A1-) or 11-cis 3-dehydroretinal (A2-derived retinal)] and by the interaction of the chromophore with the amino acid residues that coat the retinal-binding pocket of the opsin in which the chromophore lies [10]. The replacement of A1- with A2-derived retinal in the pigments shifts the absorption to a longer wavelength [11, 12], and the shift is larger in longer wavelength absorbing opsin pigment [11, 12].

The visual systems of African cichlids have been studied extensively [8, 1321] because vision is important for food acquisition [2224] and mate choice [18, 2527]. African cichlids have eight different opsin genes [8, 13, 14, 19], but only a subset of these is expressed in any individual species [20, 28]. Several Lake Victoria species primarily express the repertoire of four opsin genes [20, 28]: short-wavelength-sensitive opsin gene 2a [SWS2A, λmax of pigments with A1-derived retinal (A1 pigments) = 457 nm; λmax of pigments with A2-derived retinal (A2 pigments) = 472 nm] in single cones; middle-wavelength-sensitive opsin genes (RH2Aβ, λmax of A1 pigments = 523 nm and λmax of A2 pigments = 546 nm or RH2Aα, λmax of A1 pigments = 533 nm; λmax of A2 pigments = 555 nm) and LWS opsin genes (λmax of A1 pigments = 544–559 nm; λmax of A2 pigments = 595–611 nm) in double cones for color vision; and rhodopsin (RH1, λmax of A1 pigments = 503 nm; λmax of A2 pigments = 523 nm) in rods for scotopic vision [17, 18, 29].

The opsins of African cichlids are thought to have adapted to different ambient light conditions varying with depth, water color, and turbidity. The first example described was deep-water adaptation of RH1 pigments in cichlid species from two clear-water lakes, Lake Tanganyika and Lake Malawi. An amino acid change from alanine to serine at position 292 (A292S) shifts the peak wavelength absorbance (λmax) by 11–14 nm toward blue light. This shift from the longer (~500 nm) to the shorter λmax (470–490 nm) is an adaptation from shallow-water to deep-water light regimes [16]. This amino acid change has occurred in parallel in several different lineages [16], and reverse change has also occurred in some of these [30].

In Lake Victoria, LWS genes from species inhabiting rocky substrates have been investigated. Neochromis greenwoodi is distributed along gradients in turbidity. The populations at opposite ends of one gradient fixed different LWS alleles, and these alleles were adaptive to light regimes differing in turbidity [17]. In Pundamilia species, P. pundamilia and P. nyererei are found in shallower and deeper water, respectively. In each species, the LWS alleles are adapted to the specific ambient light regimes related to water depth [18]. These studies described correlations between adaptive divergence of LWS and male nuptial coloration, suggesting that adaptation of the sensory system to different light regimes drives the divergence of mating signals and leads to reproductive isolation [17, 18].

In contrast to rocky substrates, sand/mud bottoms form a continuous environment. Among six species found on sand or mud, the LWS and RH1 alleles have diversified and one particular allele is dominant or fixed in each species [29]. The functions of the LWS alleles are also diversified, whereas those of the RH1 alleles are identical, as shown by absorption measurements of reconstituted visual pigments [29]. A correlation between male nuptial coloration and the absorption of LWS pigments was also observed among six species [29]. However, because the six species were collected from a single locality with low environmental variability, it is still unclear which factors drive genetic and functional diversity of LWS in sand/mud habitats. To address this issue, we compared ten Lake Victoria cichlid species from sand/mud habitats to identify 1) opsin genes with fixed genetic differences, 2) their functional differences, and 3) the adaptive role of the opsin pigments.

Results

LWS and RH1 were dominated by one allele in each species

The ten species in this study were distributed from near the surface to the deepest bed (70 m) in Lake Victoria (Fig. 1, Additional file 1: Figure S1a-j). All species were collected from sand/mud substrates. The sequences of seven color opsin genes (SWS1, SWS2A, SWS2B, RH2Aβ, RH2Aα, RH2B, and LWS) and one scotopic opsin gene (RH1) were determined in two individuals from each of the ten species and used to calculate mean distances of synonymous (Ds) and nonsynonymous (Dn) substitutions (Fig. 2a). High values of Dn were observed in RH2Aβ, LWS, and RH1 (Fig. 2a), indicating amino acid variations in RH2Aβ, LWS, and RH1. Of the opsins with high Dn values, species-specific alleles were observed from LWS and RH1. Therefore, we further determined the sequences of these two genes (Additional file 2: Figure S2 and Additional file 3: Figure S3) from the ten species (in total, 219 individuals) with different depth distributions (Additional file 1: Figure S1a–j). We divided these sequences into eight LWS allele and six RH1 allele groups based on the amino acid sequences (Fig. 2b and c), because the alleles that differed by synonymous substitution were functionally identical. Thus, the sequences that were in the identical allele groups shared the identical amino acid replacements, as shown in Fig. 2b and c. Several allele groups are described in our previous studies [i.e., H, L, M3, and P [17] and Sp, r104V, and r104I [29]]. Based on the allele groups of LWS and RH1, we compared the depth distribution (Fig. 3a) of allele frequencies of LWS (Fig. 3b) and RH1 (Fig. 3c). The abbreviations for species names are shown in Fig. 1b. In the frequencies of LWS and RH1, each species was dominated by one allele (Fig. 3b and c). The dominant alleles in LWS (M3, P, and D; Fig. 3b) and RH1 (r104I; Fig. 3c) varied by depth and were shared by species with similar depth distributions. Based on these results, the distributions of LWS and RH1 alleles were likely correlated with depth, and the adaptation of those alleles was inferred.
Fig. 1

Sampling localities in Lake Victoria and photographs of cichlid species. a Map of the southern half of Lake Victoria showing the cichlid sampling localities. Numbers indicate collection localities: 1, Offshore Ukara; 2, Offshore Kerebe; 3, Irugwa; 4, Karaju; 5, Usengere; 6, Kweru; 7, Offshore Lyamwenge; 8, Nansio; 9, Offshore Nyakanyasi; 10, Offshore Makobe; 11, Offshore Mabibi Island; 12, Vessi Island; 13, Offshore Magu Bay; 14, Offshore Makobe; 15, Kayenze; 16, Bwiru Point; 17, Bwiru Point-hippo; 18, Offshore Hippo; 19, Kissenda Bay; 20, South Offshore Chankende; 21, Nyegezi Bay; 22, Nyaruwambu; 23, Nyameruguyu (Python); 24, Offshore Marumbi; 25, Mwabulugu; and 26, Gabalema. b Photographs of cichlid species, with abbreviations for species names and the numbers of individuals used in this study for each species. Fish species order is from shallow- (left-top) to deep-water (right-bottom). The maps were drawn by Y. T. based on original source maps: https://www.google.com/maps. Fish photographs were taken by M. I. and S. M

Fig. 2

Diversities of opsin genes in Lake Victoria. a Genetic diversities of opsin genes. Each column indicates mean distance for synonymous (gray) or nonsynonymous (black) substitutions for ten species in Lake Victoria. Amino acid alignments of b LWS and c RH1 alleles. Residue positions are numbered according to the sequences of each opsin gene. The amino acid positions 62, 131, 137, 168, 177, 179, 216, 222, 226, 227, 230, 275, and 282 in LWS correspond to 49, 118, 124, 155, 164, 166, 203, 209, 213, 214, 217, 262, and 269 in bovine RH1. The amino acid positions in cichlid RH1 are identical in bovine RH1. The dots and letters indicate identical and different residues, respectively, compared with the top line

Fig. 3

Cichlid species distributions and the frequencies of LWS and RH1 alleles. a Species distributions by depth are shown in each column. The positions of the columns of species are identical in (a)–(c). Frequencies of b LWS and c RH1 alleles in the ten species. The names of the alleles correspond to those in Fig. 2b and c, respectively. The number of total alleles per species is shown at the top of the columns. Abbreviations for the species names are shown in Fig. 1b

In addition to Lake Victoria species, we determined the sequences of LWS from riverine Haplochromis species (n = 8).

Functional diversities of RH1 and LWS pigments

To test whether LWS and RH1 alleles were functionally different, we measured visual pigments that were reconstituted using A1- and A2-derived retinal. The results for several of these measurements were obtained from previous studies [17, 18, 29]. As shown in Fig. 4a–f, we measured newly discovered alleles and an allele (P) that was not measured in the A2 pigments by [18]. We did not obtain the absorption of pigments from 2BB and r217I alleles (Fig. 3b and c) because of the instability of those pigments. The absorption spectra of the pigments were represented by the peak values (λmax), as shown in Fig. 4a–f, with the functional differences of the alleles summarized in Fig. 4g and h. For RH1 alleles, the λmax values of A1 and A2 pigments ranged from 502 to 515 nm and from 522 to 539 nm, respectively (Fig. 4g and h). The pigments from rDb and rDs alleles were largely shifted toward red (511 and 515 nm for A1 and 536 and 539 nm for A2 pigments, respectively; Fig. 4g and h). For LWS alleles, the ranges of λmax values of A1 and A2 pigments varied widely from 537 to 559 nm and from 568 to 611 nm, respectively (Fig. 4g and h). Notably, these wide ranges of λmax values resulted from the replacement of only a small number of amino acids (from H to Sp alleles in Fig. 2b). For example, the A2 pigments from Ds and D alleles were shifted 29 and 36 nm toward blue compared with that of the H allele by only one and three replacements, respectively (Figs. 2b and 4h). Hence, the functional diversities of RH1 and LWS pigments were generated by a small number of replacements among alleles.
Fig. 4

Functional diversities and adaptation of opsin genes in Lake Victoria. af Dark–light difference in spectra of visual pigments. Visual pigments were reconstituted from three LWS alleles [(a), D; (b), Ds; and (c), P] and three RH1 alleles [(d), rDb; (e), rDs; and (f), rMga], with A1- (black) and A2-derived (red) retinal. The A1 pigments of the P allele were measured previously [18]. g Summary of the functional diversities of LWS and RH1 alleles reconstituted by A1- (g) and A2-derived (h) retinal. The λmax values and allele distributions of L (rocky substratum) [17] and H (sand/mud substratum) [29] were described in previous studies. The distributions of RH1 and LWS alleles are shown by green and orange arrows, respectively. The dominant light wavelength in shallow and deep water [18, 28, 32] is shown by the orange bar

To reveal the driver for the diversity of LWS alleles, we performed HKA tests for heterogeneity between regions (LWS gene and up- and downstream regions, shown in Fig. 5a) using the ratio of polymorphism to divergence [31]. Based on the LWS allele phylogenetic tree constructed for the LWS gene and the flanking regions (5 kb upstream, LWS gene without exons, and 3.5 kb downstream, totaling 9492 bp), we used the Sp allele as the out-group for HKA tests (Fig. 5b). The contrast in divergence between the LWS gene region (differentiated) and that in the flanking sequences (undifferentiated) was statistically significant (Table 1), with the exception of the D allele because of a small number of polymorphic sites (no site and six sites in up- and downstream regions, respectively). Based on these results, natural selection has acted on the divergence of the LWS gene to generate the functional diversity of this gene.
Fig. 5

The evolution of LWS alleles. a The regions used for HKA tests and construction of a LWS allele tree are shown by black and orange lines under the genome structure of LWS and flanking regions, respectively. b Neighbor-joining tree constructed using sequences 5 kbp upstream of LWS, LWS gene excluding exons, and 3.5 kbp downstream of LWS. Bootstrap values are shown for the neighbor-joining tree (left), maximum-parsimony tree (center), and maximum-likelihood tree (right) when the values were 95 or more in any tree. The alleles of LWS are shown at the ends of the tree branches. c An amino acid alignment of LWS from riverine species. Residue positions are numbered according to the sequences of LWS. The dots and letters indicate identical and different residues, respectively, compared with the top line. The amino acid positions with differences that are found among the alleles from Lake Victoria species are highlighted in black. The LWS sequences were determined from four riverine species: H. sp. ‘katonga’ (n = 2), H. sp. ‘katavi’ (n = 1), H. sp. ‘kitilda-rukwa’ (n = 2), and H. sp. ‘muzu-rukwa’ (n = 3). An alignment of LWS sequences from riverine individuals and sampling localities are shown in Additional file 5: Fig. S4

Table 1

HKA test for statistical significance (p) of heterogeneity between regions

LWS alleles

Up (SWS2A)-gene

gene-down

Up (SWS2A)-down

2BB

0.0154*

0.7876

0.2974

D

0.285

0.2601

0.0995

Ds

0.0016**

0.0047**

0.6887

M3

0.0200*

0.0127*

0.8907

P

0.0287*

0.0066**

0.5814

* P < 0.05; ** P < 0.01

Discussion

Visual adaptation of color and scotopic opsins in Lake Victoria cichlid species

Among eight opsins, amino acid variations and species-specific alleles were observed from LWS and RH1, indicating no species-specific functional difference in other six opsins. As shown in Fig. 4, we summarized the peak absorption of pigments reconstituted by LWS and RH1 alleles and A1- (Fig. 4g) or A2-derived (Fig. 4h) retinal. The absorption spectra of pigments were measured in this study (RH1: rDb, rDs, rMga; LWS: D, Ds, P-A2 pigment) or previous studies (RH1: r104I, r104V; LWS: H, M3, Sp, P-A1 pigment) [17, 18, 29]. The allele distributions of L (rocky substratum) [17] and H (sand/mud substratum) [29] in shallow water were described in previous studies.

In RH1, the species distributed in deep water (Fig. 3a) possess red-shifted pigments (rDs and rDb) in both A1- (Fig. 4g) and A2-derived (Fig. 4h) retinal. In Lake Victoria, the proportion of long wavelengths in the light spectra increases with depth, with the light in deep water dominated by long wavelengths (i.e., 540–600 nm) [18, 32]. Thus, the absorption shifts toward dominant light in the deep-water RH1 pigments suggest that the functional changes of RH1 pigments from shallow- to deep-water distribution may be an adaptation for efficient absorption of light wavelength (Fig. 4g and h, green arrows). Although the rDs allele predominated in H. pisceatus, this species occurs at shallower depths than the other rDs-predominated species, H. sp. cf. fusiformis (Fig. 3). This difference may be explained by the contrasting distributions of these two species. Haplochromis pisceatus and H. sp. cf. fusiformis specimens were collected from Mwanza Gulf and offshore, respectively (Additional file 3: Figure S1f and j). Water transparency is higher offshore than in Mwanza Gulf [17], and the water turbidity strongly affects the proportion of long wavelengths in the light spectra [17, 28]. Thus, the rDs allele of H. pisceatus may be an adaptation to the long-wavelength light that rapidly increases with depth in Mwanza Gulf.

In contrast to RH1 pigments, A1- and A2-derived LWS pigments show different aspects. The λmax values of LWS pigments reconstituted by alleles predominant in species from shallow to deep water (Fig. 3a) gradually shifted toward blue in both A1- (Fig. 4g) and A2-derived (Fig. 4h) retinal. In the case of A1-derived retinal, the λmax values from deep-water species separated from the dominant light in deep water (Fig. 4g, orange arrow), whereas they overlapped with the dominant light in deep water (Fig. 4h, orange arrow) in A2-derived retinal. This suggests that the deep-water A2-derived LWS pigments may adapt to the deep-water light regime, even though the A1/A2 ratio (chromophore usage) of deep water species has not been measured.

In contrast to deep-water, water transmits broad spectra of light (i.e., 400–650 nm) [18, 32] in shallow-water. The λmax values of RH1 pigments reconstituted by alleles predominant in shallow species were located in the middle of wavelength of light, whereas those of LWS A2 pigments were nearly the end of long wavelength light (Fig. 4h). The absorption of LWS A2 pigments may be an adaptation for color discrimination in broad spectra of light in shallow-water.

The A2 chromophore usage was measured [16, 17] and also estimated from MSP data [29] in our previous studies. In our work, the retinal was extracted from the entire eyecup, and the extraction and measurements were performed under conditions in which the unstable A2 retinal could easily degrade. Therefore, the estimation of chromophore usage was more accurate than that determined from measurements of the amount of A2-derived retinal, and we estimated A2 usage from previously described MSP data [20, 33]. The estimated A2 proportion was 20–84% in RH1 and 30–100% in LWS pigments (Additional file 4: Table S1). This suggests that the proportion of A2 was relatively high in Lake Victoria cichlids, and supports the adaptation of A2-derived LWS pigments. The cichlid fish used in the studies of MSP measurements were laboratory-reared fish [20, 33]. In freshwater fish, chromophore usage can change from A1 retinal in bright light to A2 retinal in dark condition [34]. Therefore, our estimation may include the possibility of under estimation of the A2 proportion. Recently, the coexpression of different opsin genes in a single photoreceptor cell was reported [35, 36]. In the case of MSP data for LWS pigments, the coexpression of LWS and RH2Aα (λmax of A2 pigments = 555 nm) might be able to generate a similar curve to the curve of LWS pigments with A1/A2 mixture. In this case, the MSP data can be explained by LWS and RH2Aα pigments with high proportion of A2 retinal. In RH1, A2-derived retinal usage may also be adaptive, because the λmax values of red-shifted A2-pigments were closer to the dominant light in deep water than for A1-derived pigment. Although the chromophore usage has not been determined, the RH1 and LWS sequences may be diversified for adaptation to different light environments in sand/mud substrates. Measurements of A1/A2 ratio using properly-preserved eye samples to avoid A2 retinal degradation from wild-caught individuals of deep water species will reveal the adaptation of A2-derived opsin pigments to deep water light environments in near future.

The replacement of A1- with A2-derived retinal in the LWS pigments shifted the λmax values to longer wavelength range from 31 nm (D allele) to 53 nm (P and L alleles). Similar to the variation in absorption spectra with the same chromophore (A1- or A2-derived), the variation of λmax value shift by replacement of A1- with A2-derived retinal was also generated by a small number of replacements among alleles. Although we could not find a correlation between amino acid replacements and λmax value shift by replacement of chromophore, mutagenesis, reconstruction, and measurement of visual pigment absorption spectra will reveal the effect of each amino acid replacement in future.

Evolution of LWS alleles in Lake Victoria cichlids

Although Lake Victoria cichlid species show little genetic differentiation [37, 38], the LWS sequences were highly diversified (Fig. 2) [8, 17, 18, 29]. The LWS sequences from Lake Victoria cichlids were separated into two clades, clade I and clade II, in the phylogenetic tree [8]. However, this tree may not represent the evolutionary process of the LWS gene, because the effects of selection cause parallel substitutions in the coding region of this gene. Therefore, we used the up- and downstream flanking regions and intron sequences to construct a phylogenetic tree of LWS alleles. We used one clade II allele (2BB) and eight clade I alleles (H, L, M3, P, Py, Sp, D, and Ds) in the analysis. As shown in Fig. 5b, the clade II allele (2BB) formed a clade and diverged from the internal clade of clade I alleles. This suggests that the clade II allele is the derived-type allele. In clade I, the alleles from D and Ds formed each clade, respectively. These alleles possessed alanine at position 282 (282A) that corresponds to position 269 in bovine RH1, and this amino acid caused a large spectral shift toward blue. An alanine at this position has never been found in African cichlids except for these two alleles, raising the possibility that 282A was generated by a new mutation in Lake Victoria. Indeed, the up- and downstream region sequences among three individuals possessing the D allele were identical, suggesting that D is a young allele.

Three deep water species possessed the D allele. This might be explained by either the selection on the D allele in different lineages independently from the ancestral polymorphic alleles, or the selection on the D allele in the common ancestral lineage of three deep water species. The phylogenetic relationship among Lake Victoria cichlids could answer this question. At present, RAD-tag sequencing is the most powerful tool to reconstruct a phylogenetic tree of closely related cichlid species. RAD-tag sequencing was used in a previous study to examine Lake Victoria rock cichlids [7], but only two species in sand/mud substrates were included [39]. Instead of RAD-tag sequencing, we calculated FST values between each deep water species and the other species using mitochondrial DNA control region sequences among species used in this study. Each of the species pairs between deep water species with D allele and non-deep water species showed the lowest FST values as follows: H. sp. cf. hiatus-H. sp. ‘paropius like’ (FST = 0.01); H. sp. cf. ‘supramacrops’-Haplochromis piceatus (FST = 0.05); and H. sp. ‘deepwater cinctus’- H. xenognathus (FST = 0.04). This result suggests that three deep water species may not be close relatives, and it was more likely that the selection might have acted on the D allele in different lineages, independently.

By contrast to young alleles, both clade I and II alleles were found outside of Lake Victoria. As shown in Fig. 5c, the allele composition was one clade I allele (River8676) and one clade II allele (River9317), and one recombinant of both sequences (River9334_A1) (Additional file 5: Figure S4C). Among these alleles, seven out of nine amino acid differences were also found among the alleles from Lake Victoria species (Fig. 5c, highlighted in black). These results suggest that the genetic diversity of LWS has a riverine origin. Hence, the LWS alleles were diversified by using old mutations occurring outside of Lake Victoria and also a new mutation in the lake. The combination of mutations generated by recombination among founder alleles may have been shaped by selection for adaptation to various light regimes in Lake Victoria.

Conclusions

In this study, we analyzed the nucleotide sequences of eight opsin genes in ten Lake Victoria cichlid species collected from sand/mud bottoms, and showed that the LWS and RH1 alleles were diversified and one particular allele was dominant or fixed in each species. The LWS alleles were fixed in each species by natural selection. The absorption of pigments from RH1 and LWS alleles were largely shifted toward different directions, red and blue respectively, in both A1- and A2-derived pigments. In both RH1 and LWS pigments, A2-derived pigments were closer to the dominant light in deep water, suggesting the possibility of the adaptation of A2-derived pigments to depth-dependent light regimes. The usage of A2-derived retinal in freshwater fish has been well known [40], while only a few studies have payed attention and measured the absorption of A2-derived opsin pigments [17, 29]. In this study, we extensively compared the functional differences between A1- and A2-derived pigments in RH1 and LWS, and demonstrated the importance of A2-derived pigments for adaptation to light environments in freshwater fish.

In addition to a correlation between male nuptial coloration and the absorption of LWS pigments in the extensive and continuous sand/mud substrates [29], we revealed that the LWS sequences were diversified for adaptation by using old mutations occurring outside of Lake Victoria and also a new mutation in the lake. These visual sensor adaptation and correlation with mating signal (male nuptial coloration) might be a signature of speciation by sensory drive [17, 18], and further studies of the correlation between nuptial colors and visual adaptation will reveal the mechanism of speciation in Lake Victoria cichlid species from sand/mud habitats in the future.

Methods

Samples

The Institutional Animal Care and Use Committee of Tokyo Institute of Technology approved the animal protocols and procedures. Ten Lake Victoria cichlid species were examined: Haplochromis piceatus Greenwood and Gee 1969, H. xenognathus Greenwood 1957, H. sp. ‘green dentex’, H. sp. cf. fusiformis [4143], H. sp. cf. hiatus, H. sp. cf. ‘supramacrops’, H. sp. ‘deepwater cinctus’, H. sp. ‘paropius like’, H. sp. ‘stone’, and Platytaeniodus degeni Boulenger 1906. The fish were all collected by M. A., S. M., and S. I. M. in 2004–2007. M. A. and S. M. verified all specimen identifications based on Additional file 6: additional text and Additional file 7: Table S2. Information for these species is provided in Additional file 1: Figure S1a–j. Four riverine species were also examined: H. sp. ‘katonga’, H. sp. ‘katavi’, H. sp. ‘kitilda-rukwa’, and H. sp. ‘muzu-rukwa’. The localities for each riverine species are shown in Additional file 5: Figure S4.

DNA sequencing and opsin sequence analyses

Genomic DNA was extracted from caudal fins, pectoral fins, or muscular tissues using a DNeasy Blood & Tissue kit (Qiagen, Hilden, Germany). All tissues were dissected and stored in 100% ethanol until use. Cichlid opsin genes (SWS1, SWS2A, SWS2B, RH2Aβ, RH2Aα, RH2B, LWS, and RH1) and mitochondrial DNA control region sequences were determined as described previously [15, 17, 29, 44]. The downstream flanking sequences of LWS (Fig. 5a) were amplified by two rounds of PCR in a Takara PCR Thermal Cycler Dice Thermal (TakaraBio, Shiga, Japan). The first round amplified 3.5 kbp of DNA fragments of downstream flanking using a pair of primers (LWSdown-longF and LWSdown-longR). The PCR program for the first round of amplification consisted of a denaturation step for 3 min at 94 °C, followed by 30 cycles of denaturation for 1 min at 94 °C, annealing for 1 min at 55 °C, and an extension for 3 min at 72 °C. The second round of PCR used the products of the first PCR as templates, and the DNA fragments were amplified using a pair of primers (LWSB_F26 and LWSdown-longR). The PCR program for the second round of amplification consisted of a denaturation step for 3 min at 94 °C, followed by 25 cycles of denaturation for 1 min at 94 °C, annealing for 1 min at 55 °C, and an extension for 2 min at 72 °C. The PCR products were purified, and their sequences were determined by direct sequencing using an Applied Biosystems Automated 3130 Sequencer. The primers for determination of the sequence of PCR products were LWSB_F27, LWSB_F28, LWSB_R26, LWSB_R31, LWSB_R32, and LWSdown-longR. The positions and the sequences of primers were described by [29]. All sequences obtained were assembled with GENETYX version 10.0.1 or ATGC version 6.0.2 (Genetyx Corporation, Tokyo, Japan).

The sequences of eight opsin genes were determined from two individuals from each of the ten species, with the exception of the sequence for RH2Aα from one individual Haplochromis sp. ‘paropius like’ (n = 1) and the sequence for SWS2B from one individual H. sp. cf. fusiformis (n = 1). The mean Ds and Dn values were calculated using MEGA 5.05 [45]. FST values between species were calculated using mitochondrial DNA control region sequences by DnaSP 5.0 [46].

HKA (Hudson, Kreitman and Aguade) tests for heterogeneity were performed using the ratio of polymorphism to divergence [31] between regions: upstream of LWS (SWS2A gene: 1932 bp) and LWS gene (from exon 2 to exon 5, 1286 bp), LWS gene and downstream of LWS (1928 bp), and upstream (SWS2A) and downstream (Fig. 5a). To select the out-group among Lake Victoria LWS alleles for HKA tests, a LWS locus phylogenetic tree was constructed based on the sequences of the LWS gene and the flanking regions (5 kb upstream, LWS gene excluding exons, and 3.5 kb downstream, for a total of 9492 bp). The sequences of the LWS gene and the flanking regions from three and two individuals with D and Ds alleles, respectively, were determined by the method of [17]. The other sequences were obtained from previous studies [17, 18, 29]. The sequences were divided into alleles and concatenated to include the information of heterozygous sites. The tree was constructed using three methods (Neighbor Joining, Minimum Evolution, and Maximum Parsimony) calculated in MEGA 5.05 [45]. Based on this tree, the Sp allele was selected as the out-group for HKA tests (Fig. 5b).

Reconstruction and measurement of visual pigment absorption spectra

Production, reconstruction, purification, and measurement of the visual pigments were performed as described previously [17, 47], with minor modifications. Briefly, the sequences of RH1 (rDs, rDb, rMga, and r217I alleles) were amplified by PCR using genomic DNA of Lake Victoria cichlids as a template with a pair of specific PCR primers [16] designed to produce a fusion protein with a FLAG-tag (Sigma-Aldrich; St. Louis, Missouri, United States) at the C terminus. The LWS-D and -Ds constructs were developed from the LWS-P construct [18] by PCR-based mutagenesis. The amplified DNA fragments were digested with restriction enzymes and cloned into the expression vector pMT5 [48] for LWS or pFLAG-CMV-5a (Sigma-Aldrich; St. Louis, Missouri, United States) for RH1. The visual pigments were reconstituted with A1- and A2-derived retinal, with A2-derived retinal synthesized as described previously [49]. Absorption spectra of the pigment solutions in the presence of hydroxyl-amine (<100 mM) before and after photobleaching were recorded using a spectrophotometer (UV-2400; Shimadzu; Kyoto, Japan), with 5–30 measurements before and after photobleaching. The mean peak spectral values (maximum absorption spectra: λmax) and standard errors were determined from multiple preparations and measurements for each pigment. After reconstitution of the pigments, all procedures were performed under dim red or infrared light (>900 nm) using a digital video camera recorder (DCR-TRV8; Sony) in “night shot” mode or in complete darkness.

Estimation of A1/A2 ratio

A photoreceptor cell includes both A1 and A2 pigments. MSP measures the absorption spectra of a single photoreceptor cell. The absorption spectra measured by MSP are, therefore, the sum of the absorption spectra of A1 and A2 pigments at a certain A1/A2 ratio. To estimate ratios of A1/A2 pigments in photoreceptor cells, LWS and RH1 standard absorption curves were first constructed using LWS and RH1 absorption curves (Fig. 4a–f) [29]. For each pigment (A1 and A2), the peaks of the curves (λmax) of LWS and RH1 pigments were standardized, with the peak absorbance also standardized. To construct standard curves for A1 and A2 pigments, four absorption curves were averaged and then smoothed. The λmax of standard curves was adjusted to those of LWS and RH1 alleles, with the standard absorption curves then used as template curves (the identical curves with different λmax). For each LWS allele, λmax of the mixture of A1 and A2 pigments with a changing A1/A2 ratio was estimated until it adjusted to MSP data. Absorption spectra of LWS pigments measured by MSP in Lake Victoria cichlid species were reported previously [20, 33], and the A1/A2 ratio was estimated for these MSP data.

Abbreviations

LWS: 

Long-wavelength-sensitive opsin

RH2: 

Middle-wavelength-sensitive opsin

SWS: 

Short-wavelength-sensitive opsin

λmax: 

The peaks of the absorption curves

Declarations

Acknowledgments

We thank Dr. Tetsu Sato (Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology, Japan; present address: Research Institute for Humanity and Nature, Kyoto Japan) and Tanzania Fisheries Research Institute (TAFIRI) for help with sampling.

Funding

This work was supported by JSPS KAKENHI Grant Number JP21227002 to N. O. and Grant Number JP23570269 and JP26440209 to Y. T., an internal SOKENDAI grant to Y. T., and a Center for the Promotion of Integrated Sciences (CPIS) of SOKENDAI grant to Y. T.

Availability of data and materials

The nucleotide sequences were deposited in GenBank under accession numbers LC129893-LC130491 and LC315405-LC315563. We deposited the phylogenetic data in TreeBASE (http://purl.org/phylo/treebase/phylows/study/TB2:S21370).

Authors’ contributions

YT: research concept, planning of research, DNA extraction, analyses of light environments, determination and analyses of opsin sequences, measurements of opsin pigments, manuscript writing; RM: DNA extraction, determination of opsin sequences, opsin pigment measurements; MA: sampling, species identification; SM: sampling, species identification; HI: assistant for opsin pigment measurements; TO: synthesis of A2 retinal; AW: synthesis of A2 retinal; STK: determination of opsin and its flanking region sequences; AS: management of riverine Haplochromis species sample; HT: sampling and identification of riverine Haplochromis species; HDJM: sampling of Lake Victoria species; SIM: management and sampling of Lake Victoria species; NO: organization of research and sampling.

Authors’ information

Not applicable.

Ethics approval and consent to participate

The Institutional Animal Care and Use Committee of Tokyo Institute of Technology approved the animal protocols and procedures. No human subjects were used in this study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Evolutionary Studies of Biosystems, SOKENDAI (The Graduate University for Advanced Studies)
(2)
Graduate School of Bioscience and Biotechnology, Tokyo Institute of Technology
(3)
Department of Cellular and Molecular Biology, Primate Research Institute, Kyoto University
(4)
Department of Organic Chemistry for Life Science, Kobe Pharmaceutical University
(5)
Department of Anatomy and Cytohistology, School of Dental Medicine, Tsurumi University
(6)
Max-Planck-Institut für Biologie, Abteilung Immungenetik
(7)
Tanzania Fisheries Research Institute (TAFIRI)
(8)
Present address: Department of Life Sciences, National Cheng Kung University
(9)
Present address: Foundation for Advancement of International Science (FAIS)

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© The Author(s). 2017