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Phylogenetic relationships among the mitochondrial genomes of Anarhichas species and Lycodes toyamensis . The minimum length tree requires 2074 changes, with branch lengths as shown. The tree indicates that A. lupus and A. minor are each other’s closest relatives; this arrangement is supported by 96.9% of bootstrap replications. 

Phylogenetic relationships among the mitochondrial genomes of Anarhichas species and Lycodes toyamensis . The minimum length tree requires 2074 changes, with branch lengths as shown. The tree indicates that A. lupus and A. minor are each other’s closest relatives; this arrangement is supported by 96.9% of bootstrap replications. 

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The first marine fish species to be listed under the Canadian Species At Risk Act as Threatened with extinction are the spotted wolffish (Anarhichas minor Olafsen, 1774) and the broadhead wolffish (Anarhichas denticulatus Kroyer, 1844); a third species, the striped wolffish (Anarhichas lupus L., 1758), is listed as a species of special concern. As...

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... nodes of the tree. Neighbor-joining phenetic analysis of uncorrected average pairwise distances ( p distances) was also done. To com- pare the extent of intra- and inter-specific mtDNA genome differentiation with other fish species, the four zoarcoid genome sequences were aligned with those of seven gadid codfish ( Gadus sensu lato; Carr et al. 1999) described in Coulson et al. (2006) (NCBI accession Nos. DQ356937–DQ356941 and DQ356946), with the addition of a second sequence from Gadus (= Theragra ) chalcogrammus Pallas, 1814 (NCBI accession No. NC004449) from the western Pacific Ocean. CR locus sequences, which were not available for all gadines, were removed, and PAUP* was used to removed any missing and (or) ambiguous characters. For the consensus data set of 15 082 bp, p distances were calculated and are shown as numbers of changes per kilo base pairs in Table 2. Variability of individual Anarhichas genes within genomes was calculated three ways: first as the average of the three pairwise sequence divergences among species ( p distance) and second as the density of interspecific single nucleotide polymorphisms (SNPs), calculated as the ratio of the number of SNPs observed among all three species to the total gene length, expressed as the number of SNPs / 100 bp. The two indices are closely related: the former will underestimate the actual extent of nucleotide divergence by not correcting for multiple-hit nucleotide substitutions at the same site, whereas the latter will underestimate variability by not counting the homoplasic changes implied by the inferred phylogeny. The latter provides a more intuitive measure of observed variability. The third measure of variability is the difference between the rates of synonymous ( d S ) and nonsynonymous ( d N ) nucleotide substitutions in each gene, according to the algorithm of Nei and Gojobori (1986) as implemented in MEGA version 3.1 (Kumar et al. 2004). This measure detects unusual patterns of amino acid substitution, for example, as a result of selection (cf. Coulson et al. 2006). The expected Poisson distribution of SNPs over tRNA loci was calculated by the recursive algorithm described by Zar (1999: 181). Nonparametric rank-order correlations of SNP density among protein-coding loci between the three Anarhichas species and the three Gadus codfish species ( G. morhua , G. (= T. ) chalcogrammus , and Gadus macrocephalus Tilesius, 1810) (Coulson et al. 2006) (DQ356938, DQ356939, and DQ356946), and comparisons of variability indices among Anarhichas loci made independently of absolute magnitude, were calculated by Kendall’s coefficient of rank correlation ( ) as implemented in BIOMstat version 3.30m (Applied Biostatistics, Inc. 2002; Sokal and Rohlf 1995: 593). The long-range PCR procedure amplified more than 97% of the complete mtDNA genome of A. lupus in three over- lapping fragments of 6835, 4555, and 4276 bp (Fig. 2). The sequence of the remaining 466 bp segment of the genome (including the 3 ’ end of the CYTB locus and the 5 ’ end of the CR locus) had been determined previously. The genomes of the other two wolffish species were amplified with various combination of the Anarhichas and Gadus specific primers in Table 1. The three genomes were sequenced with the same set of primers. The mtDNA genome sequences comprised 16 519 bp in A. lupus and 16 520 bp in the other two species. The sequences have been submitted to GenBank and assigned the accession numbers EF427916, EF427917, and EF427918 for A. lupus , A. minor , and A. denticulatus , respectively. The gene order is identical to that of L. toyamensis , except that L. toyamensis has an extra 169 bp segment 3 ’ to the tRNA– Val locus that is not present in Anarhichas species. This segment has been deleted from the alignment analyzed here. A total of 449 SNP sites were observed among the individuals representing the three species. Anarhichas lupus and A. minor differed by 248 pairwise differences (226 transitions and 22 transversions), A. minor and A. denticulatus by 274 differences (248 transitions and 26 transversions), and A. lupus and A. denticulatus by 286 differences (254 transitions and 32 transversions) (Table 2A). Interspecific p distances among Anarhichas species range from 16.64 to 20.22 substitutions / kbp (subs/kbp), which is approximately one- half t hat a mong G adus s pecies (from 38.46 t o 4 0.25 s ubs/kbp) (Table 2B) and about four to five times as large as the differences among transoceanic individuals within Gadus species ( from 3.25 to 4.77 subs/kbp). With L. toyamensis included as an outgroup, there are 1944 variable sites, of which 146 are phylogenetically infor- mative (sensu Nei 1987). The three possible bifurcating trees for four terminal taxa had lengths of 2074, 2094, and 2100 changes. The shortest tree indicates that A. lupus and A. minor are more closely related to each other than they are to A. denticulatus ; this tree is supported by 96.9% of 10 000 bootstrap replicates (Fig. 3). Random resampling of 1, 2, 4, or 8 kbp of the complete genome supported the same tree in 57.2%, 66.2%, 77.4%, and 89.4% of bootstraps, respectively. This tree is also supported by neighbour-joining distance analysis ( p distances) in 96.3% of bootstraps, as well as by weighted parsimony and various distance models with >95% bootstrap support in all cases (results not shown). The most variable protein-coding loci as measured by SNP density were ND4, CYTB, and ND2, with 4.40, 4.22, and 4.19 SNPs / 100 bp, respectively. The least variable loci were ATP8 (also the shortest region), COX2, and ND3, with 1.19, 1.57, and 1.99 SNPs / 100 bp, respectively (Table 3). The CR locus was less variable than 9 of 13 protein-coding regions (2.45 SNPs / 100 bp) (Table 4). Most tRNA loci were either invariant or had only 1 SNP site, and the 20 tRNA loci collectively showed only 18 SNP sites over 1410 bp (1.28 SNPs / 100 bp), which was lower than all except 1 protein-coding locus. Although 3 tRNA loci had three or more SNP sites and were thus more variable than any protein-coding locus (tRNA–Val, tRNA–Arg, and tRNA– Trp: >4 SNPs / 100 bp), the observed distribution did not de- part significantly from the expected random Poisson distribution of 18 SNPs over 20 tRNA loci ( 2 0 : 05 ; 1⁄2 3 = 4.21, 0.10 < p < 0.25). The 16S and 12S rRNA loci were the least variable gene regions (1.18 and 0.35 SNPs / 100 bp, respectively). The relative ranks of locus variability as measured by SNP density and mean p distance are highly correlated (Kendall’s = 0.9731, p << 0.01), as are the rankings of SNP density and the rate of synonymous substitution ( d S ) (Kendall’s = 0.7871, p << 0.01) and p distance vs. d S (Kendall’s = 0.8387, p << 0.01). The correlations of SNP density and p distance with d N – d S were slightly lower (Kendall’s = 0.7179 and 0.7949, respectively), but still p << 0.01 in both cases. Similarly, there is a significant rank-order correlation of SNP densities between Anarhichas species and Gadus species (Kendall’s = 0.4615, p = 0.0140), but the association is far from exact. ND4 ranked first in Anarhichas and second in Gadus ; however, the second- and third-ranked loci in Anarhichas (CYTB and ND2) ranked seventh and sixth in Gadus . The most highly ranked locus in Gadus (ND6) ranked fourth in Anarhichas , and the ATP6 and ND3 loci also had substantially lower ranks in Anarhichas (ninth and eleventh vs. fourth and fifth, respectively) (Fig. ...

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... Cases closer to the diagonal of the heatmap are more complex and make it especially challenging to identify whether sequences are truly erroneous or whether natural reasons make the pair be out of the diagonal. For example, low taxonomic discrimination by the 12S gene has been reported within fish genera (e.g., Sebastes, Anarchias) and families (e.g., Gadidae, Cyprinidae, Istiophoridae) (Gold et al., 2021;Johnstone et al., 2007;Thomsen et al., 2016), which could make sequences appear more similar than expected according to taxonomy. Similarly, biological phenomena such as inter-specific introgression could make sequences from the same species appear more distant than expected and species from different species closer than expected (Viñas & Tudela, 2009). ...
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... DnaSP v. 5.10.01 software (University of Barcelona, Barcelona, Spain) was used for the analysis of the average number of nucleotide substitutions and the number of haplotypes in samples [49]. Data processing was performed, and genetic distances and percent identity were calculated using Geneious 6.0.5 software (Biomatters, Auckland, New Zealand) based on the Bayesian Inference method with Lycodes toyamensis as the outgroup [50] with the use of a Substitution Model HKY85; 1,100,000 chain length; and 100,000 burn-in-length [51]. ...
... The results of genetic studies of the Anarhichadidae family representatives are few and have been performed using various genetic markers [50,[66][67][68][69]. At the same time, most of the previous phylogenetic studies did not involve all five valid species of the family. ...
... Previous studies [50,67,69] have shown a greater genetic proximity to each other of A. minor and A. lupus than each of these two species to A. denticulatus ( Figure 5). In all the above publications on phylogenetic trees, the northern wolffish forms a cluster separate from other North Atlantic species, which is confirmed by our results. ...
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... A partial sequence of the mitochondrial cytochrome B (CYTB) gene was targeted because interspecific variation for the Anarhichas genus was previously documented (Johnstone et al. 2007;Lait and Carr 2018). Sequences from west Atlantic specimens were retrieved from NCBI (National Center for Biotechnology Information, nih.gov; ...
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... Cases closer to the diagonal of the heatmap are more complex and make it especially challenging to identify whether sequences are truly erroneous or whether natural reasons make the pair be out of the diagonal. For example, low taxonomic discrimination by the 12S gene has been reported within fish genera (e.g., Sebastes, Anarchias) and families (e.g., Gadidae, Cyprinidae, Istiophoridae) (Gold et al., 2021;Johnstone et al., 2007;Thomsen et al., 2016), which could make sequences appear more similar than expected according to taxonomy. Similarly, biological phenomena such as inter-specific introgression could make sequences from the same species appear more distant than expected and species from different species closer than expected (Viñas & Tudela, 2009). ...
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... Currently, a less is known about mitochondrial genomics of zoarcoids. However, recently based on the available sequences of complete mitochondrial genome (e.g., Johnstone et al. 2007;Swanburg et al. 2016;Yang et al. 2016;Ayala et al. 2017) obvious constrains were found on the nucleotide variation in the control region versus protein-coding genes (Turanov et al. 2018). In addition, mitochondrial genomics approaches have provided the opportunity to resolve phylogeographic issues of some endangered zoarcoid species (Lait and Carr 2018), demonstrating the possibility of forthcoming extension of its applications for these and other fish taxa. ...
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... The molecular identification was made using basic local alignment Search Tool (blaST, zhang et al., 2000) available in genbank. according to Johnstone et al. (2007), it is one of the most variable protein-code loci in Anarhichas genomes with 4.22 SnPs/100 bp. The specimen caught in 2014 was preserved in 70% ethanol and stored in the fish collection of the Instituto español de oceanografía (Ieo) in Santander (IeoST 2014_1_520). ...
... The genetic analysis corroborated the identification of A. denticulatus and is in agreement with those of Johnstone et al. (2007) and McCusker and bentzen (2010). Regarding morphometric measurements, some differences between the two specimens collected were observed, which could be due to several factors: variability, sex, or the fact that one fish had been previously frozen and was slightly damaged (Fig. 2). ...
... Since both species are the focus of aquaculture research [15,16], rearing procedures are well understood and their large hatchlings (20-24mm at hatching) enables various measurements in a single individual. Moreover, the complete mitochondrial DNA (mtDNA) genome sequences of three wolffish species (Anarhichas spp.) were recently published [17] as a contribution to the recovery plan for the reestablishment of wolffishes in the east of Canada [18]. Indeed, the phylogenetic relationships among Anarhichas species mtDNA indicate that A. minor and A. lupus are each other's closest relative. ...
... Indeed, the phylogenetic relationships among Anarhichas species mtDNA indicate that A. minor and A. lupus are each other's closest relative. Their respective mitochondrial genome comprises 16520 and 16519 base pairs, among which there are 283 single nucleotide polymorphisms (SNPs) [17]. Some of these nucleotide substitutions between the three Anarhichas species lead to amino acid replacements in genes encoding peptides involved in the ETS and ATP synthase. ...
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Physiological indicators such as lipid peroxidation and enzymes involved in aerobic/anaerobic energy metabolism were measured in pure and hybrid lines of wolffish juveniles ( Anarhichas minor , ♀ A. minor ⨯ ♀ A. lupus ). Interspecific hybridization was introduced as a powerful tool to promote augmentation of phenotypic variability and consequently improve our capacity for the detection of clear physiological relationships amongst oxidative stress and metabolic characters. Mitochondrial sequence genes analysis between the Atlantic ( A. lupus ) and spotted wolffish ( A. minor ) were later performed to further assess the extent of divergence between A. lupus and A. minor mitochondrial haplotypes. The observed divergences (2.0% and the number of nonsynonymous substitution n=23) do not seem to be sufficient to generate detectable differences in ETS complexes catalytic capacities. Total LDH activity was however higher in hybrids than in the pure strands and tightly correlated to TBARS levels which suggest that LDH actively participates to the regulation of cellular redox status. Our results are discussed in comparison with a similar study on a charr hybrid ( Salvelinus alpinus × S. fontinalis ).
... Since both species are the focus of aquaculture research [15,16], rearing procedures are well understood and their large hatchlings (20-24mm at hatching) enables various measurements in a single individual. Moreover, the complete mitochondrial DNA (mtDNA) genome sequences of three wolffish species (Anarhichas spp.) were recently published [17] as a contribution to the recovery plan for the reestablishment of wolffishes in the east of Canada [18]. Indeed, the phylogenetic relationships among Anarhichas species mtDNA indicate that A. minor and A. lupus are each other's closest relative. ...
... Indeed, the phylogenetic relationships among Anarhichas species mtDNA indicate that A. minor and A. lupus are each other's closest relative. Their respective mitochondrial genome comprises 16520 and 16519 base pairs, among which there are 283 single nucleotide polymorphisms (SNPs) [17]. Some of these nucleotide substitutions between the three Anarhichas species lead to amino acid replacements in genes encoding peptides involved in the ETS and ATP synthase. ...
... In this study, we performed a comparative sequence analysis of mitochondrial genes of Atlantic and spotted wolffish to identify the distribution of mutational differences across both genomes by exploring the results of Johnstone et al. [17]. These data were used to scrutinize potential impairment of mitochondrial functions that could result in mito-nuclear coadaptations breakdown, leading to disruption of redox equilibrium and fostering oxidative stress. ...
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Full-text available
Physiological indicators such as lipid peroxidation and enzymes involved in aerobic/anaerobic energy metabo-lism were measured in pure and hybrid lines of wolffish juveniles (Anarhichas minor, ♀ A. minor ! ♂ A. lupus). Inter-specific hybridization was introduced as a powerful tool to promote augmentation of phenotypic variability and conse-quently improve our capacity for the detection of clear physiological relationships amongst oxidative stress and metabolic characters. Mitochondrial sequence genes analysis between the Atlantic (A. lupus) and spotted wolffish (A. minor) were later performed to further assess the extent of divergence between A. lupus and A. minor mitochondrial haplotypes. The observed divergences (2.0% and the number of nonsynonymous substitution n=23) do not seem to be sufficient to gener-ate detectable differences in ETS complexes catalytic capacities. Total LDH activity was however higher in hybrids than in the pure strands and tightly correlated to TBARS levels which suggest that LDH actively participates to the regulation of cellular redox status. Our results are discussed in comparison with a similar study on a charr hybrid (Salvelinus alpinus × S. fontinalis).
... In higher animals, evidence for GDA can often only be observed as 'snap-shots' from the natural environment, and deduced through genomic sequence and ⁄ or gene dosage comparisons among populations experiencing different environmental conditions. Because the Atlantic and spotted wolffish are closely related (sister species) [53,54] but inhabit different depth ranges along the sea-floor habitat, they provide a valuable opportunity to explore the effect of adaptive GDA and differential Darwinian selection on the type III AFP multigene family. In the present study, we compared AFP gene copy number, nucleotide sequences and mRNA expression levels in a variety of tissues of these two species. ...
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During winter, the coastal waters of Newfoundland can be considered a ‘freeze risk ecozone’ for teleost fishes, where the shallower habitats pose a high (and the deeper habitats a low) risk of freezing. Atlantic (Anarhichas lupus) and spotted (Anarhichas minor) wolffish, which inhabit these waters, reside at opposite ends of this ecozone, with the Atlantic wolffish being the species facing the greatest risk, because of its shallower niche. In order to resist freezing, this species secretes five times the level of antifreeze protein (AFP) activity into the plasma than does the spotted wolffish. The main basis for this interspecific difference in AFP levels is gene dosage, as the Atlantic wolffish has approximately three times as many AFP gene copies as the spotted wolffish. In addition, AFP transcript levels in liver (the primary source of circulating AFPs) are several times higher in the Atlantic wolffish. One explanation for the difference in gene dosage and transcript levels is the presence of tandemly arrayed repeats in the latter, which make up two-thirds of its AFP gene pool. Such repeats are not present in the spotted wolffish. The available evidence indicates that the two species diverged from a common ancestor at a time when the ebb and flow of northern glaciations would have resulted in the emergence of shallow water ‘freeze risk ecozones’. The results of this study suggest that the duplication/amplification of AFP genes in a subpopulation of ancestral wolffish would have facilitated the exploitation of this high-risk habitat, resulting in the divergence and evolution of modern-day Atlantic and spotted wolffish species. Database Nucleotide sequence data are available in the GenBank database under the accession numbers AWG1-4, JQ040521, JQ040515, JQ040516, JQ040517, AWE1-3, JQ040522, JQ040523, JQ040524, SWG1-3, JQ040518, JQ040519, and JQ040520