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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2019 Aug 26;116(37):18473–18478. doi: 10.1073/pnas.1908332116

Recurrent convergent evolution at amino acid residue 261 in fish rhodopsin

Jason Hill a, Erik D Enbody a, Mats E Pettersson a, C Grace Sprehn a, Dorte Bekkevold b, Arild Folkvord c,d, Linda Laikre e, Gunnar Kleinau f, Patrick Scheerer f, Leif Andersson a,g,h,1
PMCID: PMC6744887  PMID: 31451650

Significance

Fish occupy a wide range of light environments that vary depending on the wavelengths absorbed by the local environment, including brackish and freshwater environments in which dissolved organic matter produces a red-shifted visual environment compared with marine waters. Atlantic herring colonized the brackish Baltic Sea after its formation approximately 10,000 y ago, which required adaptation to a red-shifted light environment. We show that visual adaptation to the new light environment was achieved through a recent and rapid selective sweep on a mutation in the rhodopsin gene. Furthermore, this exact same amino acid change has occurred at least 20 separate times in fish species transitioning from marine to brackish or freshwater environments. This is a remarkable example of convergent evolution.

Keywords: adaptation, selective sweep, convergent evolution, natural selection

Abstract

The evolutionary process that occurs when a species colonizes a new environment provides an opportunity to explore the mechanisms underlying genetic adaptation, which is essential knowledge for understanding evolution and the maintenance of biodiversity. Atlantic herring has an estimated total breeding stock of about 1 trillion (1012) and has colonized the brackish Baltic Sea within the last 10,000 y. Minute genetic differentiation between Atlantic and Baltic herring populations at selectively neutral loci combined with this rapid adaptation to a new environment facilitated the identification of hundreds of loci underlying ecological adaptation. A major question in the field of evolutionary biology is to what extent such an adaptive process involves selection of novel mutations with large effects or genetic changes at many loci, each with a small effect on phenotype (i.e., selection on standing genetic variation). Here we show that a missense mutation in rhodopsin (Phe261Tyr) is an adaptation to the red-shifted Baltic Sea light environment. The transition from phenylalanine to tyrosine differs only by the presence of a hydroxyl moiety in the latter, but this results in an up to 10-nm red-shifted light absorbance of the receptor. Remarkably, an examination of the rhodopsin sequences from 2,056 species of fish revealed that the same missense mutation has occurred independently and been selected for during at least 20 transitions between light environments across all fish. Our results provide a spectacular example of convergent evolution and how a single amino acid change can have a major effect on ecological adaptation.


The Atlantic herring is 1 of several marine fish species that have successfully colonized the entire Baltic Sea, which happened during the last 10,000 y and thus required rapid adaptation to the dramatic decrease in salinity from 35‰ in the Atlantic Ocean to as low as 2‰ in the inner Baltic Sea. Previously, whole-genome sequencing revealed hundreds of loci showing highly significant differentiation between populations of Atlantic herring (Clupea harengus harengus) and Baltic herring (Clupea harengus membras) (1) (Fig. 1A and Dataset S1). We noted that 1 of the most significant associations (P < 1 × 10−100) overlaps perfectly with the rhodopsin (RHO) gene (Fig. 1A), encoding a light-sensitive G protein-coupled receptor, which is expressed in the rod cells of the vertebrate retina and is essential for vision in dim light. Compared with marine water, brackish water contains higher concentrations of dissolved organic matter that scatters short-wavelength visible light and results in a visual environment that differs from marine water, which transmits blue light more than other wavelengths. Inspired by previous literature on genetic adaptation in the rhodopsin gene in other species to variation in visual environments (25), we explored the possibility that rhodopsin is the causative gene for the strong selection signal on herring chromosome 4.

Fig. 1.

Fig. 1.

Signal of selection and frequencies of rhodopsin alleles in Atlantic and Baltic herring. (A) Genome-wide scan of allele frequency differences in the contrast between Atlantic and Baltic herring populations revealed a highly significant signal on chromosome 4. The genome-wide plot at the top of the panel highlights the signal containing rhodopsin; the remainder of the panel shows the signal in the context of chromosome 4. (B) Delta allele frequency of SNPs that are fixed in Atlantic populations and polymorphic in Baltic populations, and therefore novel to the Baltic populations. The location of rhodopsin is highlighted with a red line in both A and B. (C) The correlation between salinity (Upper), as a proxy for visual environment, and allele frequencies of Tyr261 and Thr213 (Lower), is shown for each population numbered on the x axis. (D) Location of herring populations in the East Atlantic and Baltic Sea used in this study (Dataset S1). Pie charts are the frequency of the Phe261Tyr mutation in each population, and label colors denote autumn- or spring-spawning populations. Absorbance values at 412 nm are derived from MODIS-Aqua satellite data (30); higher values correspond to more absorbance at 412 nm and, as a consequence, a red-shifted visual environment.

Results

Characterization of the Selective Sweep at the Rhodopsin Locus.

The colonization of herring into the Baltic Sea must have happened within the last 10,000 y because this area was entirely covered with ice during the last glaciation. We therefore predicted that the adaptation at this locus may be driven by derived mutations that we do not find in herring from the Atlantic Ocean. We calculated delta allele frequencies for alleles that showed differentiation between Atlantic and Baltic herring and were monomorphic in the Atlantic herring. This analysis supported the view that the peak of association coincides with the location of rhodopsin (Fig. 1B). The pattern of association is consistent with a hard selective sweep, in which the strength of association breaks down as a function of distance from the peak. A missense mutation Phe261Tyr in rhodopsin constitutes one of the very top single nucleotide polymorphisms (SNPs) located at the peak of association (Fig. 1B), and a second missense mutation Ile213Thr shows a modest delta allele frequency of about 0.3; no other missense mutation was found in the Atlantic or Baltic herring. Ile213Thr occurs in the same exon as Phe261Tyr, only 144 bp apart. These 2 missense mutations are absent in herring from the Atlantic Ocean, but occur in populations from the Baltic Sea, which supports their derived status, and Phe261Tyr is fixed in some populations from the inner Baltic (Fig. 1 C and D).

We further explored the hard sweep associated with the rhodopsin locus, using a dataset comprising 1,170 fish from 24 localities both from the Swedish west coast (high salinity) and the brackish Baltic Sea (SI Appendix, Supplementary Text: Estimating the speed and age of the selective sweep at the rhodopsin locus). These fish have been individually genotyped for a previously developed 45k SNP chip (1), which fortunately included both missense mutations, Ile213Thr and Phe261Tyr. This analysis confirmed strong differentiation between Atlantic and Baltic populations for both SNPs and revealed complete linkage disequilibrium (LD) between the 2 sites, showing that the Ile213Thr substitution must have arisen on the Tyr261 haplotype (SI Appendix, Table S1 and Fig. S1). The younger age of Thr213 was further supported by the observation that its associated sweep region is larger than that associated with Tyr261 (SI Appendix, Fig. S2). Furthermore, an analysis of the LD data indicated that the time for Tyr261 to sweep through the population was in the range of 23 to 65 generations, corresponding to about 140 to 390 y, given an estimated generation interval of about 6 y (SI Appendix, Supplementary Text: Speed of the sweep and Fig. S3). A very high selection coefficient (s ≥ 0.2) per generation is required to generate such a rapid sweep. Similarly, we used the LD decay between the missense mutations and flanking markers to estimate their age, which resulted in estimates of 6,400 and 42,000 y for Ile213Thr and Phe261Tyr, respectively (SI Appendix, Supplementary Text: Age of the sweep and Fig. S4). The latter is older than the Baltic Sea (formed about 10,000 y ago), and the estimate may be inflated, since it is highly dependent on the estimated recombination rate for the region, but it is possible that Phe261Tyr mutation occurred before the colonization of the Baltic Sea and swept to high frequency during the colonization.

Structure–Function Relationships.

To explore whether Phe261Tyr and Ile213Thr could be causal mutations underlying genetic adaptation in the Baltic Sea, we built a structural model of herring rhodopsin based on the crystal structure of bovine rhodopsin to estimate the potential effect of amino acid substitutions Phe261Tyr and Ile213Thr on variations in light sensitivity. Residue 261 is located in transmembrane helix 6 (TMH6) close to the retinal binding site (Fig. 2A). Our structural model suggests a hydrogen bond between the hydroxyl group of the tyrosine and an amide nitrogen in the TMH3 backbone, which may have a stabilizing effect in contrast to a Phe261 variant (Fig. 2B). Residue 213 is part of TMH5, and the side chain is oriented toward the membrane, but is located in the spatial area of retinal and Tyr/Phe261, as observed for the corresponding position in active or inactive bovine rhodopsin structures (69). Of note, exactly at this region between TMH5 and TMH6, a channel-like opening for potential retinal release or entry was previously described (10, 11). The exact structural function of amino acids at residue 213 is not yet established (SI Appendix, Supplementary Text: Analysis of structural herring rhodopsin model), but substitutions at this site are associated with divergence between riverine and lake dwelling cichlid species, suggesting it may affect vision (5).

Fig. 2.

Fig. 2.

Crystal structure of bovine rhodopsin and structural homology model of herring rhodopsin. (A) Crystal structure of bovine rhodopsin (PDB entry 1F88) (6) as backbone-cartoon representation. The chromophore 11-cis-retinal is covalently bound via a Schiff base to Lys296 in transmembrane helix 7 (H7). Amino acid residues Phe261 and Ile213 are highlighted. (B) In the structural homology model of herring rhodopsin, Tyr261 instead of Phe261 directly changes the binding site of retinal (translucent surface presentation). This model supposes a putative new hydrogen bond (dotted black line) of the tyrosine hydroxyl group with the backbone amide nitrogen of Gly121 in helix 3 (red arrow). Rhodopsin Phe261 in Atlantic herring (models in superimposition) corresponds with Phe261 in bovine or human rhodopsin (SI Appendix, Table S3). The side chain of Thr213 is oriented towards the membrane, but in the same spatial level as retinal. The structures of tyrosine and phenylalanine are compared below the structure model.

Residue 261 has been identified as 1 of 27 known key spectral tuning sites in opsins, where amino acid changes lead to shifts in light absorption (12). Blue, green, and red cone opsins are paralogs to rhodopsin, with differences in absorption maxima, and are responsible for color vision in humans and other primates. Residue 261 in rhodopsin corresponds to positions 258 and 277 in blue and green opsins, respectively, which have phenylalanine at this position, similar to the Atlantic herring rhodopsin, whereas red opsin (position 277), which has a red-shifted light absorption, has tyrosine, similar to the Baltic herring rhodopsin (SI Appendix, Fig. S5). This cone opsin Phe277Tyr substitution, among other mutations, was previously identified as causal for the spectral red shift from 547 to 556 nm in primate visual pigments for squirrel (Phe) versus tamarin (Tyr) monkeys, respectively (13). Furthermore, introduction of a Phe261Tyr substitution in bovine rhodopsin by in vitro mutagenesis causes a significant 10-nm red shift from 500 to 510 nm (14). The Mexican cave fish (Astyanax mexicanus), similar to the Baltic herring, has tyrosine at residue 261 in rhodopsin, and in vitro mutagenesis found that a Tyr261Phe substitution caused an 8-nm blue shift in this molecule (3). It has previously been shown that the rod cells in the retina of the Baltic herring have a 10-nm red-shifted light absorption compared with the Atlantic herring (15), in perfect agreement with the effect of the Phe261Tyr substitution (14). Thus, the retina of a Baltic herring with the rhodopsin Tyr261 variant can catch more photons than a retina with the Phe261 variant in the red-shifted light environment in the Baltic Sea (Fig. 1D), and likely improves the ability of the fish to detect prey and avoid predators in this environment. We also tested the hypothesis that regulatory and structural changes could occur in parallel in a locus under selection by testing for differences in gene expression between the Phe261 and Tyr261 allele. However, no evidence for differential gene expression between the 2 alleles (i.e., allelic imbalance) was found in the retina from Atlantic × Baltic herring hybrids (SI Appendix, Fig. S6).

Convergent Evolution of Rhodopsin at Residue 261 among Fish Adapted to Brackish and Freshwater.

The coding sequence of rhodopsin has been widely implemented as a phylogenetic marker, and as a consequence, sequences from the single rhodopsin exon in 2,056 species of fish are publicly available (16). We leveraged this dataset to explore variation at residues 213 and 261, the codons carrying missense mutations in the Baltic herring, across the fish tree of life. The data show that only phenylalanine and tyrosine are tolerated at residue 261 (SI Appendix, Table S2). In fact, an aromatic residue is highly conserved at this position among all G protein-coupled receptors (Ballesteros & Weinstein numbering 6.44 [17]; sequence conservation ∼75% Phe, ∼7% Tyr; SI Appendix, Table S3). The aromatic character of this residue is essential for ligand-induced receptor activation by a complex interplay with Trp6.48 (Fig. 2B) and other hydrophobic residues in the TMH5–TMH6 interface (positions 5.47 and 5.51). Residue 213 is less constrained and not as structurally conspicuous as residue 261, and the 2 variants present in herring (Ile and Thr) are not the most common amino acids at this residue across fish species (SI Appendix, Table S2).

The evidence that Phe261Tyr is an adaptive mutation in the Baltic herring encouraged us to explore whether there is an association between the presence of Tyr261 and habitat, as brackish waters in general, as well as freshwater environments, have a red-shifted light environment compared with oceanic waters (15). Habitat data from 2,056 fish species (18) revealed that there is a highly significant association (P = 1.2 × 10−85, Fisher’s Exact test) between the presence of Tyr261 and freshwater or brackish environment (Fig. 3 and Table 1). As many as 356 species living in freshwater and/or brackish water carry this variant. In contrast, only 10 of 885 marine fish species carry Tyr261: 6 of them are bathymetric (deep-sea) species (Fig. 3, clades 8, 11, and 13), and 4 are nocturnal, shallow reef- and lagoon-dwelling Indo-Pacific squirrelfish (Fig. 3, clade 15); it has recently been shown that vision in several deep-sea fishes, including those in the Myctophidae family (clade 13 in Fig. 3), has evolved by rhodopsin gene duplications and diversification (19). Furthermore, it is clear from examining the fish phylogeny that the adaptive change Phe261Tyr must have occurred independently more than 20 times during the evolution of bony fishes (Fig. 3), providing the most striking example of recurrent convergent evolution at a single amino acid residue in a vertebrate.

Fig. 3.

Fig. 3.

Fish phylogeny and association between Phe261Tyr and habitat. Phylogenetic relationship of 2,056 fish with branches indicating their rhodopsin allele, Phe261 (blue) or Tyr261 (red). The outer ring indicates habitat of the species: blue is marine and red is freshwater and brackish. Matches between allele and habitat are depicted in solid colors, and “mismatches” are faded. The association between Phe261 and Tyr261 and habitat is highly significant (Table 1). Each clade that represents an independent evolution of Tyr261 is illustrated by a representative species image if available. The following are the lowest taxonomic group shared by the cluster. For genus level and lower, the Latin and common names are given, and for levels above genus, the shared geographical regions of the cluster are given if available, as well as the shared taxonomic name. 1) gar, sturgeon, paddlefish, bowfin; 2) Clupea harengus, Atlantic herring; 3) Denticeps clupeoides, denticle herring; 4) Siluriformes, Characiformes, and Gymnotiformes; 5) Myxocyprinus asiaticus, Chinese high-fin banded shark; 6) Cycleptus elongatus, blue sucker; 7) African, North American, and Eurasian Cyprinidae; 8) Bathylagus euryops, goiter blacksmelt; 9) North American and Eurasian Esociformes; 10) Salmo salar and Salmo trutta, Atlantic salmon and brown trout; 11) deep sea Stomiidae; 12) European and South Pacific Retropinnidae; 13) deep sea Myctophidae; 14) North American Percopsiformes; 15) Indo-Pacific Holocentrinae; 16) North American Centrarchidae; 17) European Percidae; 18) Pseudaphritis urvillii, congolli; 19) Zoarces viviparus, viviparous eelpout; 20) Lake Baikal Cottidae; 21) Pomatoschistus microps, common goby; 22) Black Sea Gobiidae; 23) Platichthys flesus, European flounder; 24) Southern hemisphere Galaxiidae. Clades 8, 11, 13, and 15 represent marine fish carrying the red-shifting substitution Tyr261 and are indicated with an asterisk (*).

Table 1.

Association between allelic variants at rhodopsin residue 261 and habitat across 2,056 fish species

Residue* Allele Number of species P value
Marine Freshwater/Brackish
261 Phe 875 815 1.5 × 10−83
Tyr 10 356
*

There is a very strong codon preference at this site across species, so in most cases the same codon is shared across species: TTC-Phe, n = 1,674; TTT-Phe, n = 16; TAC-Tyr, n = 359; TAT-Tyr, n = 7.

Fisher’s exact test.

Residue 213 has not been identified as a key spectral tuning site in opsins (12). It is more difficult to assess the biological significance of an association to habitat for the polymorphism at residue 213 due to the high variability at this position, and the highly significant association with habitat may primarily reflect a phylogenetic signal (SI Appendix, Table S4). In herring, the fact that the haplotype carrying the Ile213Thr substitution reaches a frequency of 0.50 and above in populations from the inner Baltic Sea (SI Appendix, Fig. S1), combined with our LD analysis showing that the Ile213Thr mutation is considerably younger than Phe261Tyr (SI Appendix, Supplementary Text: Estimating the speed and age of the selective sweep at the rhodopsin locus), provide evidence that this haplotype is under selection because genetic drift is minute in the herring (1, 20); the great majority of SNPs show no allele frequency difference between the inner Baltic Sea and the Atlantic Ocean. However, since there is not yet conclusive evidence for a functional significance of Ile213Thr, as there is for Phe261Tyr, we cannot exclude the possibility that the former mutation is hitchhiking to high frequency on another second causal mutation from this genomic region. Nevertheless, the results illustrate the evolution of adaptive haplotypes by accumulation of multiple closely linked causal variants in a natural population, as previously documented during phenotypic evolution in domestic animals (21).

Natural Selection at Rhodopsin and Life History Parameters.

Functional evidence and the signal of selection presents a very convincing association between the presence of rhodopsin Tyr261 and the light conditions in the Baltic Sea, but there are some discrepancies worth considering. One discrepancy concerns populations spawning in the southwest Baltic (numbers 2 and 18 to 23) that all have a low frequency of Tyr261 (Fig. 1D). The light conditions in this area are less red-shifted than in other parts of the Baltic (Fig. 1D), and many populations that spawn in this area forage in the marine waters of Kattegat and Skagerrak (22). The other discrepancy concerns differences between autumn- and spring-spawning herring, which is highlighted by populations from the Bay of Gävle and the Gulf of Riga, all collected at spawning (Fig. 1D). The samples from Gävle (numbers 24, 29, and 32) were collected in May (spring), July (summer), and September (autumn), and their frequencies of Tyr261 were 77%, 66%, and 26%, respectively. In the Gulf of Riga, the 2 samples of spring-spawning fish (numbers 33 and 37) were fixed or close to fixation for Tyr261, whereas the 2 autumn-spawning collections (numbers 25 and 26) had allele frequencies as low as 24%. One possible explanation for these differences is that Tyr261 first occurred in spring-spawning herring and has not yet reached high frequencies in autumn-spawning fish due to limited gene flow (20). An alternative explanation is that spring- and autumn-spawning herring are foraging for plankton in different areas or at different depths with different light conditions, thus experiencing different selective pressures. Interestingly, it has been documented that spring-spawning Baltic herring have larger eyes than autumn-spawning herring, supporting a difference in visual ability between these ecotypes of Baltic herring (23). A third possibility is that seasonal fluctuations in phytoplankton population dynamics and/or seasonal river runoff dynamics would result in spring-spawning herring larvae having to cope with a more red-shifted light environment than autumn-spawning juveniles at the same age (SI Appendix, Fig. S7). Under this hypothesis, climate-driven fluctuations in Baltic turbidity may differentially affect spring and autumn-spawning populations because larval survival is critical for herring recruitment and is influenced by temperature (24).

We addressed the question of whether selection at the rhodopsin locus is most important at the larval/juvenile stage or at the adult stage by determining a partial rhodopsin sequence from 29 individuals representing 3 populations each of Atlantic salmon (Salmo salar) and brown trout (Salmo trutta). Both species have anadromous populations in which breeding, egg laying, and the juvenile stage take place entirely in freshwater, but adults spend the majority of their lives in open marine waters to feed. The 3 populations sampled from each species were chosen such that in 1 population, adults remained in freshwater, in 1 they moved to feed in brackish water, and in 1 they moved to feed in marine waters. All individuals from both species, irrespective of the habitat of adult fish, carried only Tyr261, the expected residue for a freshwater fish (SI Appendix, Table S5). In contrast, the European eel (Anguilla anguilla) and the Japanese eel (Anguilla japonica), which have their juvenile stage in the ocean but live most of their life in freshwater, both have Phe261. The data are consistent with the hypothesis that selection on rhodopsin codon 261 is most important during the larval and juvenile stages, when mortality rates are the highest (25) in species in which visual acuity is critical for predator avoidance and feeding.

Conclusions

The genes encoding visual pigments (blue, red, and green opsins, as well as rhodopsin) have been under strong positive selection as species have adapted to different light environments (12). This is illustrated by a recent finding that vision in deep-sea fish has evolved by copy number expansion of rhodopsin genes followed by positive selection for gene diversification, resulting in an expansion of the retinal light absorption spectra (19). Our findings demonstrate that selection has co-opted the exact same amino acid substitution in rhodopsin that occurs in Baltic herring more than 20 independent times across fish species that have adapted to similar red-shifted light environments, and it is remarkable that a single amino acid site can have such an important role in ecological adaptation. Other examples in which the exact same mutation is associated with the same or very similar phenotypic effects are rare enough to be notable; for instance, a missense mutation His207Arg in the melanocortin 1 receptor is associated with light plumage color in red-footed boobies and in the ruff (26). However, we believe that the number of described instances of evolution converging on a phenotype by way of identical recurrent mutations will increase as high-quality, well-annotated genome assemblies become available for an increasing number of species.

Methods

Whole-Genome Sequencing.

Tissues from 47 to 100 fish were collected from different localities in the Baltic Sea, Skagerrak, Kattegat, the Atlantic Ocean, and the Pacific Ocean (Dataset S1). Pooled samples were sequenced as previously described (1). Illumina 2 × 100 bp short read sequences for the new populations were analyzed together with read sets that were generated for populations used previously (1, 20, 27). Reads from each population pool were mapped to a chromosome-scale reference genome of Clupea harengus (ACC# GCA_900700415), using BWA-MEM v7.17-r1188 (28), followed by duplicate removal and read group assignment with picard v2.10.3 (http://broadinstitute.github.io/picard). SNP calling was performed using a standard GATK pipeline. Quality filtering of raw variant calls was performed using GATK v3.8.0 (29), with the following cutoffs: DP ≥ 10, DP ≤ 400, and GQ ≥ 10. To reduce sampling error due to low coverage and inaccurate variation estimates due to incorrect mapping to repetitive regions the median read coverage was calculated to be 40× coverage across the 38 populations, and filtered variants were processed with a custom R script to filter populations at a variant site with less than 10, or more than 100, reads mapped. Sites for which more than 12 of 38 populations (>30%) of populations were missing data or filtered were also removed to prevent inflated significance values caused by unbalanced comparison groups. Inflated significance values could also result from higher-than-average read depth in some samples, so allele counts for each population at each site were down-sampled to 40 when the read depth exceeded the median value. For the genome-wide scan for selection (Fig. 1A), populations were grouped by salinity as marine (Atlantic and Pacific Ocean) or brackish (Baltic Sea) and a contingency χ2 test was performed for the allele frequency estimates at each position. For the delta allele frequency estimates of Baltic Sea alleles (Fig. 1B), we used all SNPs from the interval 10 to 15 Mb on chromosome 4 that were fixed for 1 allele in Atlantic populations but were variable in Baltic populations.

Allelic Imbalance.

We tested for the presence of allelic imbalance as a possible contributor to the phenotype by sequencing rhodopsin RNA from 5 hybrids of Baltic and Atlantic herring. We extracted RNA from the eye using a Qiagen RNAeasy minikit (Qiagen) and DNA from tissue using custom salt preparations. We generated cDNA using applied biosystems High-Capacity cDNA Reverse Transcription Kits (Thermo Fisher Scientific) and amplified a 315-bp region of the single rhodopsin exon using primers designed to span both the Phe261Tyr and Ile213Thr mutations (F:AGGGTGGTGATCATGCAGTG, R:CCGGCTTCAACAACGAGTC). PCR conditions were 10 min at 95 °C followed by 35 cycles of 15 s at 95 °C, 30 s at 58 °C, and 30 s at 72 °C and a final extension of 10 min at 72 °C. Both genomic DNA and cDNA of the eye was sequenced to detect any sequencing bias. Fragments were sequenced by the Eurofins sequencing platform and allelic imbalance checked by eye. No detectable level of allelic imbalance was detected in the cDNA of rhodopsin. Sanger sequencing traces of the region near position 261 are shown in SI Appendix, Fig. S6.

Environmental Variables.

To visualize marine absorbance (Fig. 1D), we extracted average absorbance between 2002 and 2019 at 412-nm wavelength from the NASA Moderate Resolution Imaging Spectroradiometer (MODIS-Aqua), accessed on February 4, 2019, from OceanColor Web (30). Marine absorbance is derived from a provisional Generalized Inherent Optical Properties algorithm, which returns spectral marine absorbance for water column constituents based on MODIS-Aqua satellite data. This study has been conducted using E.U. Copernicus Marine Service Information to extract salinity data.

Trout and Salmon Rhodopsin Sequencing.

Atlantic salmon and brown trout samples were collected from locations around Sweden and Norway (SI Appendix, Table S5) and were kept in a frozen tissue bank collection at Stockholm University (maintained by L.L. and Prof. Nils Ryman). Genomic DNA was extracted from muscle tissue using Qiagen’s DNeasy Blood and Tissue Kit according to the manufacturer’s protocol (Qiagen, Hilden, Germany), including RNase A treatment. Sample DNA quality was assessed by visual inspection of DNA fragmentation on agarose gels and absorbance at 260/280. We designed primers spanning the rhodopsin exon positions 213 and 216 using the salmon rhodopsin sequence (accession: EU492188.1; F:GGTCCCGCTATATCCCCGA, R:TTGTACAGGGCCGAACTCTT). We amplified a 380-bp fragment for 29 salmon and trout (SI Appendix, Table S5). PCR conditions were 10 min at 95 °C, followed by 35 cycles of 15 s at 95 °C, 30 s at 59 °C, and 30 s at 72 °C and a final extension of 10 min at 72 °C. Samples were Sanger sequenced by the Eurofins sequencing platform, and sequences were edited manually.

Homology Modeling of Herring Rhodopsin Structures.

The homology models of herring rhodopsin in inactive state conformations were constructed by using the high-resolution bovine rhodopsin crystal structure in the dark state [PDB entry 1U19 (6) as a template]. Amino acid residues of bovine rhodopsin were in silico substituted with residues of herring rhodopsin according to the sequence alignment presented in SI Appendix, Fig. S5, followed by energy minimization of all side chain atoms until converging at a termination gradient of 0.05 kcal/mol*Å. For modeling procedures the Sybyl ×2.0 software was used, including the AMBER F99 (31) force field for energy minimization.

Analysis of Sequence Variation at Rhodopsin Residues 213 and 261 with Habitat Across Fish Species.

A time-calibrated phylogeny of all ray-finned fish (16) was downloaded from https://fishtreeoflife.org/, of which 2,254 had DNA sequence data for the single exon rhodopsin gene. Habitat data were available for 2,056 species found in the Eschmeyer’s Catalog of Fishes (18). A custom R script was used to assemble and compare datasets.

Data Availability Statement.

Sequencing reads new to this study can be accessed at ENA PRJEB32358 (32). SNP genotyping data used to generate SI Appendix, Figs. S2–S4 can be acquired at https://github.com/Clupeaharengus/rhodopsin.

Code Availability Statement.

The analyses of data have been carried out with publicly available software and all are cited in the Methods section. Custom scripts and data can be accessed at https://github.com/Clupeaharengus/rhodopsin.

Supplementary Material

Supplementary File
Supplementary File

Acknowledgments

We are grateful to Jon Fong and the California Academy of Sciences for their assistance accessing Eschmeyer’s Catalog of Fishes, to the NASA Ocean Biology Processing Group for generating MODIS-Aquad data products, and to all junior high school students who contributed to the project Forskarhjälpen. The National Genomics Infrastructure/Uppsala Genome Center and UPPMAX provided service in massive parallel sequencing and computational infrastructure. Work performed at the National Genomics Infrastructure/Uppsala Genome Center has been funded by RFI/VR and Science for Life Laboratory, Sweden. The study was supported by Knut and Alice Wallenberg Foundation (L.A.), Vetenskapsrådet (L.A.), Research Council of Norway project 254774, GENSINC (to A.F. and L.A.). G.K. and P.S. were supported by grants from the Deutsche Forschungsgemeinschaft (German Research Foundation): CRC1078-B6 (to P.S.), CRC740-B6 (to P.S.), and CRC1365-A03 (to G.K. and P.S.); Deutsche Forschungsgemeinschaft Cluster of Excellence “Unifying Concepts in Catalysis” (Research Field E4 to G.K. and P.S.); Deutsche Forschungsgemeinschaft under Germany’s Excellence Strategy, EXC 2008/1 (UniSysCat), 390540038 (Research Unit E to P.S.).

Footnotes

The authors declare no conflict of interest.

Data deposition: The sequence reported in this paper has been deposited in the European Nucleotide Archive (ENA) database (accession no. ENA PRJEB32358).

This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1908332116/-/DCSupplemental.

References

  • 1.Martinez Barrio A., et al. , The genetic basis for ecological adaptation of the Atlantic herring revealed by genome sequencing. eLife 5, 1–32 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Yokoyama R., Knox B. E., Yokoyama S., Rhodopsin from the fish, Astyanax: Role of tyrosine 261 in the red shift. Invest. Ophthalmol. Vis. Sci. 36, 939–945 (1995). [PubMed] [Google Scholar]
  • 3.Hunt D. M., Fitzgibbon J., Slobodyanyuk S. J., Bowmaker J. K., Spectral tuning and molecular evolution of rod visual pigments in the species flock of cottoid fish in Lake Baikal. Vision Res. 36, 1217–1224 (1996). [DOI] [PubMed] [Google Scholar]
  • 4.Larmuseau M. H. D., Vancampenhout K., Raeymaekers J. A. M., Van Houdt J. K. J., Volckaert F. A. M., Differential modes of selection on the rhodopsin gene in coastal Baltic and North Sea populations of the sand goby, Pomatoschistus minutus. Mol. Ecol. 19, 2256–2268 (2010). [DOI] [PubMed] [Google Scholar]
  • 5.Schott R. K., Refvik S. P., Hauser F. E., López-Fernández H., Chang B. S. W., Divergent positive selection in rhodopsin from lake and riverine cichlid fishes. Mol. Biol. Evol. 31, 1149–1165 (2014). [DOI] [PubMed] [Google Scholar]
  • 6.Palczewski K., et al. , Crystal structure of rhodopsin: A G protein-coupled receptor. Science 289, 739–745 (2000). [DOI] [PubMed] [Google Scholar]
  • 7.Okada T., et al. , The retinal conformation and its environment in rhodopsin in light of a new 2.2 A crystal structure. J. Mol. Biol. 342, 571–583 (2004). [DOI] [PubMed] [Google Scholar]
  • 8.Scheerer P., et al. , Crystal structure of opsin in its G-protein-interacting conformation. Nature 455, 497–502 (2008). [DOI] [PubMed] [Google Scholar]
  • 9.Choe H. W., et al. , Crystal structure of metarhodopsin II. Nature 471, 651–655 (2011). [DOI] [PubMed] [Google Scholar]
  • 10.Hildebrand P. W., et al. , A ligand channel through the G protein coupled receptor opsin. PLoS One 4, e4382 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Piechnick R., et al. , Effect of channel mutations on the uptake and release of the retinal ligand in opsin. Proc. Natl. Acad. Sci. U.S.A. 109, 5247–5252 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yokoyama S., Evolution of dim-light and color vision pigments. Annu. Rev. Genomics Hum. Genet. 9, 259–282 (2008). [DOI] [PubMed] [Google Scholar]
  • 13.Neitz M., Neitz J., Jacobs G. H., Spectral tuning of pigments underlying red-green color vision. Science 252, 971–974 (1991). [DOI] [PubMed] [Google Scholar]
  • 14.Chan T., Lee M., Sakmar T. P., Introduction of hydroxyl-bearing amino acids causes bathochromic spectral shifts in rhodopsin. Amino acid substitutions responsible for red-green color pigment spectral tuning. J. Biol. Chem. 267, 9478–9480 (1992). [PubMed] [Google Scholar]
  • 15.Jokela-Määttä M., Smura T., Aaltonen A., Ala-Laurila P., Donner K., Visual pigments of Baltic Sea fishes of marine and limnic origin. Vis. Neurosci. 24, 389–398 (2007). [DOI] [PubMed] [Google Scholar]
  • 16.Rabosky D. L., et al. , An inverse latitudinal gradient in speciation rate for marine fishes. Nature 559, 392–395 (2018). [DOI] [PubMed] [Google Scholar]
  • 17.Ballesteros J. A., Weinstein H., Integrated methods for the construction of three-dimensional models and computational probing of structure-function relations in G protein-coupled receptors. Methods Neurosci. 25, 336–428 (1995). [Google Scholar]
  • 18.Fricke R., Eschmeyer W. N., Van der Laan R., Eschmeyer’s catalog of fishes: Genera, species, references (2019). http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp. Accessed 5 February 2019. [DOI] [PubMed]
  • 19.Musilova Z., et al. , Vision using multiple distinct rod opsins in deep-sea fishes. Science 364, 588–592 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Lamichhaney S., et al. , Parallel adaptive evolution of geographically distant herring populations on both sides of the North Atlantic Ocean. Proc. Natl. Acad. Sci. U.S.A. 114, E3452–E3461 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Andersson L., Molecular consequences of animal breeding. Curr. Opin. Genet. Dev. 23, 295–301 (2013). [DOI] [PubMed] [Google Scholar]
  • 22.Ruzzante D. E., et al. , Biocomplexity in a highly migratory pelagic marine fish, Atlantic herring. Proc. Biol. Sci. 273, 1459–1464 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Blass M., “Morphological variation in herring (Clupea harengus membras) : Spring and autumn spawners in the Bothnian Sea,” M.Sc. dissertation (Swedish University of Agricultural Sciences, Uppsala, Sweden, 2014).
  • 24.Margonski P., Hansson S., Tomczak M. T., Grzebielec R., Climate influence on Baltic cod, sprat, and herring stock-recruitment relationships. Prog. Oceanogr. 87, 277–288 (2010). [Google Scholar]
  • 25.Bailey K. M., Houde E. D., Predation on eggs and larvae of marine fishes and the recruitment problem. Adv. Mar. Biol. 25, 1–83 (1989). [Google Scholar]
  • 26.Lamichhaney S., et al. , Structural genomic changes underlie alternative reproductive strategies in the ruff (Philomachus pugnax). Nat. Genet. 48, 84–88 (2016). [DOI] [PubMed] [Google Scholar]
  • 27.Lamichhaney S., et al. , Population-scale sequencing reveals genetic differentiation due to local adaptation in Atlantic herring. Proc. Natl. Acad. Sci. U.S.A. 109, 19345–19350 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Li H., Durbin R., Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics 25, 1754–1760 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Poplin R., et al. , Scaling accurate genetic variant discovery to tens of thousands of samples. bioRxiv:10.1101/201178 (14 November 2017).
  • 30.NASA Ocean Biology Processing Group (2017) , MODIS-Aqua Level 3 Mapped Inherent Optical Properties Data Version R2018.0. https://oceancolor.gsfc.nasa.gov/data/10.5067/AQUA/MODIS/L3M/IOP/2018/. Accessed 4 February 2019.
  • 31.Case D. A., et al. , AMBER 7 (University of California, San Francisco, 2002). [Google Scholar]
  • 32.Hill J., et al. , Ecological adaptation of Atlantic Herring (Clupea harengus) in the Baltic Sea. European Nucleotide Archive. https://www.ebi.ac.uk/ena/data/view/PRJEB32358. Deposited 15 June 2019.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary File
Supplementary File

Data Availability Statement

Sequencing reads new to this study can be accessed at ENA PRJEB32358 (32). SNP genotyping data used to generate SI Appendix, Figs. S2–S4 can be acquired at https://github.com/Clupeaharengus/rhodopsin.


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