Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Genetic Divergence between Freshwater and Marine Morphs of Alewife (Alosa pseudoharengus): A ‘Next-Generation’ Sequencing Analysis

  • Sergiusz Czesny,

    Affiliation Lake Michigan Biological Station, Illinois Natural History Survey, University of Illinois, Zion, Illinois, United States of America

  • John Epifanio,

    Affiliation Illinois Natural History Survey, University of Illinois, Champaign, Illinois, United States of America

  • Pawel Michalak

    Affiliation Virginia Bioinformatics Institute and Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, United States of America

Genetic Divergence between Freshwater and Marine Morphs of Alewife (Alosa pseudoharengus): A ‘Next-Generation’ Sequencing Analysis

  • Sergiusz Czesny, 
  • John Epifanio, 
  • Pawel Michalak


Alewife Alosa pseudoharengus, a small clupeid fish native to Atlantic Ocean, has recently (∼150 years ago) invaded the North American Great Lakes and despite challenges of freshwater environment its populations exploded and disrupted local food web structures. This range expansion has been accompanied by dramatic changes at all levels of organization. Growth rates, size at maturation, or fecundity are only a few of the most distinct morphological and life history traits that contrast the two alewife morphs. A question arises to what extent these rapidly evolving differences between marine and freshwater varieties result from regulatory (including phenotypic plasticity) or structural mutations. To gain insights into expression changes and sequence divergence between marine and freshwater alewives, we sequenced transcriptomes of individuals from Lake Michigan and Atlantic Ocean. Population specific single nucleotide polymorphisms were rare but interestingly occurred in sequences of genes that also tended to show large differences in expression. Our results show that the striking phenotypic divergence between anadromous and lake alewives can be attributed to massive regulatory modifications rather than coding changes.


Evolutionary processes are most frequently discussed in the context of geological time scale and species divergence associated with adaptations is seldom noticeable on a shorter temporal range. Anthropogenic activity, however, becomes a potent force that often accelerates progression of otherwise slow evolutionary change, via either direct artificial selection or indirect environmental transformations. A striking example of evolutionary change indirectly induced by the human footprint can be found in the recent expansion of natural range by a small clupeid fish, alewife Alosa pseudoharengus. Alewife, native to the North American Atlantic coast (from North Carolina to Labrador), invaded all five Laurentian Great Lakes between 1860 and 1955 [1]. They first made their way into Lake Ontario via the Erie Canal during 1860's and progressed through the Welland Canal to Lake Erie bypassing the natural barrier of Niagara Falls between 1913 and 1932 [1]. Then, alewife successively expanded to Lakes Huron, Michigan, and Superior completing their basinwide expansion by mid-1950.

Divergent adaptations to freshwater versus marine environment have resulted in perhaps the most rapid morphological and life-history changes ever observed for a free-living vertebrate (Figure 1). Landlocked (freshwater resident of the Great Lakes) alewives mature earlier in life, have slower adult growth, smaller size at maturation, and reduced fecundity relative to anadromous (i.e., spawning in freshwater but spending most of their life in the ocean) alewives [2], [3]. It is unclear to what extent these changes are genetic adaptations, epigenetic modifications or mere phenotypic plasticity. It is expected, however, that the marine-freshwater environment shift immediately triggers cascades of dramatic regulatory responses and imposes very strong selection on landlocked populations over the long term. Alewife's ecological success and unusual adaptive ability offer a new intriguing model system to investigate regulatory as well as coding genetic innovations underlying rapid phenotypic adaptations.

Figure 1. North American distribution of native (brown) and non-native (maroon and pink) ranges of alewife (Alosa pseudoharengus) along with the comparison of same-age individuals collected from freshwater Lake Michigan (A) and Atlantic Ocean (B).

Arrows approximate sampling locations. Map is a courtesy of United States Geological Survey.

The problem of adaptive genetics has been publicized by a recent “cis-regulatory” (evo-devo) versus “structural (coding) mutation” debate [4], [5]. Evo-devo side emphasizes significance of mutations in cis regions and regulatory rather than coding changes as a source of evolutionary novelties. Examples are provided by altered expression patterns of such genes as Pitx1 and Bmp4 underlying morphological changes in pelvic structure in sticklebacks [6], [7] and beak size in Darwin's finches [8], respectively. The other side of the debate points to a large body of evidence for structural changes in protein-coding sequences and their central role in evolution on one hand and the paucity of unequivocal evidence for evolutionarily significant regulatory changes on the other [4]. However stimulating this debate might be, it unfortunately also seems to oversimplify the complexity of adaptive processes. There is little doubt that both cis-regulatory and structural-coding changes shape adaptive traits and the question is more about their relative contributions rather than ruling out one or another. It must also be remembered that amino acid and regulatory changes are often inseparable as structural protein alterations may modulate expression (e.g. [9], [10]). Conversely, transcription seems to be capable of influencing mutational frequency as well. Increased mutations have been observed in highly transcribed regions in such diverse organisms as Escherichia coli [11], [12], yeast [13], and humans [14]. Epigenetic pathways along with their intricate interactions with environment, genome regulation and mutagenicity [15] add another, poorly known layer to adaptations. Additional dimension to genetics of adaptation is produced by phenotypic plasticity that in response to environmental challenges may expose hidden genetic variation to selection [16], [17].

Next generation sequencing of entire transcriptomes provides simultaneous information about sequence polymorphism and gene expression levels and can thus be useful in determining the prevalence of sequence and regulation divergence. Here, we sequenced gill-derived transcripts to get insights into expression changes and sequence divergence between marine and freshwater alewives. We hypothesized that (1) gills as the central respiratory and osmotic organ will be informative of transcriptional reprogramming required for transition between marine and freshwater environments, and that (2) mitochondrial genes with their higher mutation rate and essential role in transport chain will be good candidate sequences for molecular divergence between the two alewife morphs.

In addition to being a spectacular example of rapid and parallel evolution, invasive alewives with their complex and broad interactions with native fauna and tremendous plasticity in adaptations to new environments have status of a key player in their relatively new ecosystem (Great Lakes). Alewife population levels vary greatly among the individual Great Lakes with relatively low densities in Lakes Superior, Erie, and Huron and higher densities in Lakes Michigan and Ontario. Alewife has proven to impact native and naturalized fish species in a number of ways including competition for food, physical displacement from spawning habitats, source of nutritional stress in predators, and predation on eggs and larvae of other fishes.


Seven 4 year old females of Alosa pseudoharengus were included in this study; four from Atlantic Ocean (AO) and three from Lake Michigan (LM). Fish from AO were obtained through NEFSC Ecosystem Surveys Branch in the fall of 2008. Samples were collected on 10/24/2008 from the mid-water trawl (depth 180m) conducted 108 miles due East off Portsmouth, NH (LAT 43.110879; LON -68.373058). Fish from Lake Michigan were collected on 11/24/2008 in bottom trawl 6 miles NE off Point Beach State Park, WI (LAT 44.274167, LON -87.410833). Immediately upon catching, 2–3 gill rakers were dissected from anesthetized individuals and preserved in RNAlater (Ambion/ABI). Fish were than frozen for age verification using otolith annual ring count.

Total RNA was extracted from gill-rakes using the RiboPure isolation kit (Ambion/ABI). RNA samples were quantified with the Agilent 2100 Bioanalyzer (Agilent Technologies). Double-stranded cDNA was produced using 1 µg of total RNA for each sample and the MINT cDNA synthesis kit (Evrogen). The ds cDNA quantity and quality were assessed with the Qubit fluorometer (Invitrogen) and the Quant-iT dsDNA HS Assay Kit. GS FLX Titanium (Roche) amplicon libraries were constructed separately from each individual and sequenced at Duke IGSP Sequencing Core Facility. The libraries were not normalized to allow quantification of relative transcript levels between AO and LM individuals.

NGen 2.0 (DNASTAR) was used to trim read ends for remaining adapter and poly A/T tail traces and make a de novo assembly (Expected coverage = 20; Specific match threshold = 90; Specific match size = 15; MM penalty = 20; Max gap = 15). SNPs were detected using SeqMan (DNASTAR) and to account for sequencing errors. Only sites polymorphic in 25–75% raw reads realigned against the assembly were included. Custom PERL scripts were used to parse NGen output for group-exclusive (AO vs. LM) SNPs. Blast2Go with default parameters was used to annotate all contigs.

Raw reads were normalized and quantified against the NGen assembly using ArrayStar (DNASTAR). The sensitivity of RNA-Seq is a function of both molar concentration and transcript length. Hence, we quantified transcript levels in reads per kilobase of exon per million mapped reads (RPKM-normalized). The RPKM measure reflects the molar concentration of a transcript in the starting sample by normalizing for RNA length and for the total read number in the measurement [18]. To test for differential expression, we used moderated t-test with the Benjamini-Hochberg correction for false discovery rate (FDR).


A total of 817,488 reads were produced from the seven cDNA samples (ranging between 51,697 to 246,125 per sample), with an average read length of 187 bp (Table S1). The reads were used for a de novo assembly resulting in 52,932 contigs with an average length of 351 bp and average depth of 10 sequences (ranging from 2 to 4,384). A total of 572,065 reads (70%) were incorporated into the assembly. The remaining 245,423 (unassembled) reads were singletons that tended to be significantly shorter (average 172 bp) from assembled reads (average 236 bp).

The contigs were subsequently analyzed with Blast2Go for similarities to sequences in public databases. Blast-assigned functional annotations were found for a total of 26,021 (49%) contigs, with around 5,000 representing enzymatic activity, 2,100 ribosomal proteins, 1,600 mitochondrial and respiratory functions, and 530 sequences related to Major Histocompatibility Complex (MHC). The following Gene Ontology (GO) molecular functions were most frequently represented among annotated contigs (Figure 2): protein binding (26%), ATP binding (9%), RNA binding (5%), metal ion binding (5%), and zinc ion binding (4%). Among most abundant GO biological processes, there were oxidation reduction (6%), auxin biosynthetic process (5%), signal transduction (3%), transport (3%), and proteolysis (3%). Both cytoplasm/cytosol and nucleus GO cytological components were highly represented, 36% and 15% respectively, along with ‘integral to membrane’ (12%), and mitochondrion (7%) classes. Most Blast2Go hits were from Danio rerio (8,282), Salmo salar (3,469), Tetraodon nigroviridis (1,633), Osmerus mordax (1,157), Oncorhynchus mykiss (1,131), Anoplopoma fimbria (497), and Esox lucius (459). These proportions confound the number of sequences available in NCBI's databases for each species, their annotation quality, and taxonomic distances between species (Osmerus and Anoplopoma are overrepresented given the number of sequences available in NCBI).

Figure 2. Most populated GO classes (Molecular Function) in the transcriptome assembly.

A total of 439,311 putative SNPs were found. Since 454 reads are known to contain more sequencing errors than the standard sequencing technology [19], we filtered putative SNPs occurring in 25–75% sequences per contig. There were 6,835 such polymorphic sites in 5,853 contigs. To identify group specific (i.e., LM or AO) SNPs, we further filtered only those sites that contained at least one group-exclusive SNP. We found only 22 group-specific SNPs (0.3%) in 13 putative loci (out of which 5 could not be annotated; Table 1). With only three exceptions (including a putative indel), all group-specific SNPs were synonymous (Figure 3). Ten group-specific SNPs were polymorphic in either AO or LM, with maximum two alternative alleles per locus out of which one allele was always shared with the other group. Consistent with the demographic scenario of AO as a genetic source for LM, AO retained more such polymorphic sites (8) than LM (2) but this difference was not statistically significant (Fisher's exact test, P = 0.069).

Figure 3. An example of alignment with a group specific SNP (16S ribosomal RNA gene).

We analyzed the total reads against the de novo assembly to identify contigs that were differentially expressed between AO and LM. One AO sample that produced a low number of reads (51,697), on average shorter (>100 bp) and worse quality than the remaining samples was excluded from this analysis. The quantification of RPKM-normalized read counts showed extensive expression differences between AO and LM (Figure 4). There were a total of 7,935 contigs (15%) differentially expressed at a 2-fold change level or greater. We then narrowed down the analysis to those 621 whose expression levels were at least 8-fold different. After the FDR adjustment (Benjamini Hochberg method), 29 of such contigs remained overexpressed and 23 underexpressed in LM relative to AO, and at the same time had functional annotations from the Blast2Go search (Tables 2 and S2). Mitochondrial 16S rRNA gene and putative intelectin 4 were among the most overexpressed genes in LM and AO, respectively. Various ribosomal protein genes (8) and keratin genes (5) seemed to be overrepresented among both up- and downregulated genes. Mitochondrial genes (COI, cytb, NDUFA1) involved in respiratory complexes were upregulated in LM, along with cytochrome c oxidase subunit 4, the terminal oxidase in mitochondrial electron transport, which is probably encoded in the nucleus (chromosome 20 in H. sapiens). Remarkably, four genes (31%) characterized by group-specific mutations, 18S rRNA, cytb,COI, NDUFA1, and Ribosomal protein L36 also belonged to the most misexpressed genes between LM and AO.

Figure 4. Hierarchical clustering of gene expression in alewives from the Atlantic (AO) and Lake Michigan (LM) populations.

Red color reflects overexpression in LM and blue in AO (intermediate expression is in yellow; lack of expression – in white). A total of 621 genes differentially expressed, genes at 8-fold change were used and Euclidean distance metric with centroid (fast) linkage method was implemented.

Table 2. Most differentially expressed genes between AO and LM (P-values are FDR-corrected).


Marine teleost fishes tend to lose water through osmosis and gain ions, primarily Na+ and Cl, through diffusion, whereas freshwater fishes tend to gain water and loose ions [20]. Transition from marine to freshwater conditions thus poses dramatic challenges at multiple levels of organization. At the physiological level, salinity changes exert profound osmoregulatory responses, including modifications of ion and water transport and permeability in gill, kidney, and gastrointestinal tract tissues [21]. Diadromous fishes, or those that travel between salt and fresh water, possess the remarkable ability (known as euryhalinity) to compensate for the physiological perturbations caused by varying salinity. Of particular interest are populations of diadromous species that got landlocked and permanently challenged to adapt to freshwater conditions. Alewives, Alosa pseudoharengus, provide a very recent example of rapid phenotypic divergence between anadromous and landlocked populations [22].

We examined the extent to which the phenotypic divergence is accompanied by regulatory and nucleotide changes. As expected for such a recent isolation event, we found little DNA sequence divergence between studied populations. Among the eight annotated genes with population-specific single nucleotide variants, osmoregulatory functions were represented by claudin-30. Claudins are four-transmembrane domain proteins that form the main component of tight junction strands and create charge- and size-selective pores in the paracellular cells [23], [24]. Tight junctions form a continuous intercellular barrier that regulates the transport of water, small solutes, and immune cells. There are at least 24 claudins in mammalian genomes [25] and 56 in the puffer fish, Fugu rubripes [26].

Although the population-specific SNP in alewife's claudin did not produce an amino acid substitution, many ‘synonymous’ mutations have been known to affect gene expression levels via such diverse mechanisms as mRNA processing, export, and stability, translation initiation and elongation, as well as protein folding [27]. In transgenic experiments, the use of a particular synonymous codon can increase the expression of a transgene by more than 1,000-fold [28]. Gill expression of claudins 27, 28a and 30 tends to be increased in freshwater habitats, as compared to sea water, in several teleosts [21], [29], [30], [31]. Consistent with this pattern, we detected highly elevated levels of claudin-8c transcripts in alewives from Lake Michigan (Table 2).

In addition to claudins and ion-transporters, aquaporins, integral membrane proteins from a larger family of major intrinsic proteins, are central to water permeability of the gill epithelium. Aquaporin-3 (AQP3) tends to be downregulated in eels following fresh- to sea-water transfer [32], [33], presumably to facilitate water absorption [34], [35]. Sea basses (Dicentrarchus labrax) that inhabit the open sea and lagoons, but occasionally enter rivers, had increased levels of AQP3 level in gills after acclimation to fresh water [36]. In this study, AQP3 was one of the most upregulated genes in alewives from the lake. It must be noted, however, that long-term adaptations at the level of gene expression may differ from expression profiles obtained during physiological responses to acclimation.

There was a substantial contribution of mitochondrial genes to genetic differences between freshwater and Atlantic alewives, and it is tempting to speculate that changes in genes related to respiratory complexes (cytb and NDUFA1) may have been of adaptive value in the ecological transition. The large representation of mitochondrial genes among transcripts derived from the gill is not unexpected, given that gill epithelium contains mitochondria-rich cells known as chloride cells [37].

The transition from anadromous to resident freshwater environment likely exposes the organism to a new suite of immunological stimuli. We found SNPs (including a nonsynonymous substitution) in DAB, one of the MHC genes from class II, thymosine, and annexin A1. Class I and class II MHC genes encode proteins responsible for recognizing self- and not self-peptides and present them to the T lymphocytes, inducing the immune response in vertebrates [38]. Class I molecules consist of two different subunits with only one of them, the alpha chain, participates in the antigen presentation. Class II molecules consist of two subunits, alpha and beta, encoded by different genes but both responsible for the peptide presentation [39]. Thymosin peptides act as immuno-transmitters and play a role in T cell maturation [40], [41], whereas annexins are Ca2+-dependent phospholipid-binding proteins involved in many cellular processes, including regulation of the innate and adaptive immune systems [42].

Our results suggest that the striking phenotypic divergence between anadromous and lake alewives can be attributed to massive regulatory modifications rather than coding changes. Future studies involving, for example, ‘common garden’ breeding experiments of both freshwater and anadromous alewives will be required to assess to what extent the regulatory changes are due to ultimate as opposed to proximate causes. Interestingly, many (31%) morph-specific synonymous mutations occurred in genes that also showed differential expression between morphs, potentially indicating a causative link between nucleotide changes and expression levels. Sequence divergence was overall low but it was higher in anadromous individuals, consistent with the fact that the Atlantic populations were a demographic source of landlocked populations.

Supporting Information

Table S1.

Total number of reads per sample.



Table S2.

Candidate genes differentially expressed between AO and LM. Expression levels of individual samples are shown (columns C- I), in addition to annotations (columns A–B), fold-changes (L), and significance tests (J–K).




We would like to thank the staff at the Ecosystems Surveys Branch, NOAA Fisheries Northeast Fishery Science Center for providing samples from the Atlantic Ocean. Special thanks are extended to Deborah Lichti for technical assistance with sample collection from Lake Michigan, and Lisa Bukovnik for next gen sequencing. Last but not least, we thank Gonzalo Machado-Schiaffino and three anonymous reviewers for their critical reviews.

Author Contributions

Conceived and designed the experiments: SC PM JE. Performed the experiments: PM SC. Analyzed the data: PM SC. Contributed reagents/materials/analysis tools: SC PM JE. Wrote the paper: PM SC.


  1. 1. Smith SH (1970) Species interactions of the alewife in the Great Lakes. T Am Fish Soc 99: 754–765.
  2. 2. Graham JJ (1956) Observations on the alewife, Pomolobus Pseudoharengus (Wilson), in fresh water. University of Toronto Biological Series No 62, Publications of the Ontario Fisheries Research Laboratory 74: 43.
  3. 3. Scott WB, Crossman EJ (1973) Freshwater Fishes of Canada. Bulletin 184. Fisheries Research Board of Canada 1973. International Review of Hydrobiology 95: 1–102.
  4. 4. Hoekstra HE, Coyne JA (2007) The locus of evolution: evo devo and the genetics of adaptation. Evolution 61: 995–1016.
  5. 5. Stern DL, Orgogozo V (2008) The loci of evolution: how predictable is genetic evolution? Evolution 62: 2155–2177.
  6. 6. Shapiro MD, Marks ME, Peichel CL, Blackman BK, Nereng KS, et al. (2004) Genetic and developmental basis of evolutionary pelvic reduction in threespine sticklebacks. Nature 428: 717–723.
  7. 7. Chan YF, Marks ME, Jones FC, Villarreal G , Shapiro MD, et al. (2010) Adaptive evolution of pelvic reduction in sticklebacks by recurrent deletion of a Pitx1 enhancer. Science 327: 302–305.
  8. 8. Abzhanov A, Protas M, Grant BR, Grant PR, Tabin CJ (2004) Bmp4 and morphological variation of beaks in Darwin's finches. Science 305: 1462–1465.
  9. 9. Koduru PR, Raju K, Vadmal V, Menezes G, Shah S, et al. (1997) Correlation between mutation in P53, p53 expression, cytogenetics, histologic type, and survival in patients with B-cell non-Hodgkin's lymphoma. Blood 90: 4078–4091.
  10. 10. Nackley AG, Shabalina SA, Tchivileva IE, Satterfield K, Korchynskyi O, et al. (2006) Human catechol-O-methyltransferase haplotypes modulate protein expression by altering mRNA secondary structure. Science 314: 1930–1933.
  11. 11. Beletskii A, Bhagwat AS (1996) Transcription-induced mutations: increase in C to T mutations in the nontranscribed strand during transcription in Escherichia coli. Proc Natl Acad Sci U S A 93: 13919–13924.
  12. 12. Kim H, Lee BS, Tomita M, Kanai A (2010) Transcription-associated mutagenesis increases protein sequence diversity more effectively than does random mutagenesis in Escherichia coli. PLoS One 5: e10567.
  13. 13. Datta A, Jinks-Robertson S (1995) Association of increased spontaneous mutation rates with high levels of transcription in yeast. Science 268: 1616–1619.
  14. 14. Da Sylva TR, Gordon CS, Wu GE (2009) A genetic approach to quantifying human in vivo mutation frequency uncovers transcription level effects. Mutat Res 670: 68–73.
  15. 15. Cooper DN, Mort M, Stenson PD, Ball EV, Chuzhanova NA (2010) Methylation-mediated deamination of 5-methylcytosine appears to give rise to mutations causing human inherited disease in CpNpG trinucleotides, as well as in CpG dinucleotides. Hum Genomics 4: 406–410.
  16. 16. Rutherford SL, Lindquist S (1998) Hsp90 as a capacitor for morphological evolution. Nature 396: 336–342.
  17. 17. Sollars V, Lu X, Xiao L, Wang X, Garfinkel MD, et al. (2003) Evidence for an epigenetic mechanism by which Hsp90 acts as a capacitor for morphological evolution. Nat Genet 33: 70–74.
  18. 18. Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5: 621–628.
  19. 19. Margulies M, Egholm M, Altman WE, Attiya S, Bader JS, et al. (2005) Genome sequencing in microfabricated high-density picolitre reactors. Nature 437: 376–380.
  20. 20. Alderdice DF (1988) Osmotic and ionic regulation in teleost eggs and larvae. In: Hoar WS, Randall DJ, editors. Fish Physiology 11 Part A. San Diego, CA: Academic Press. pp. 163–251.
  21. 21. Kalujnaia S, McWilliam IS, Zaguinaiko VA, Feilen AL, Nicholson J, et al. (2007) Salinity adaptation and gene profiling analysis in the European eel (Anguilla anguilla) using microarray technology. Gen Comp Endocrinol 152: 274–280.
  22. 22. Palkovacs EP, Dion KB, Post DM, Caccone A (2008) Independent evolutionary origins of landlocked alewife populations and rapid parallel evolution of phenotypic traits. Mol Ecol 17: 582–597.
  23. 23. Sonoda N, Furuse M, Sasaki H, Yonemura S, Katahira J, et al. (1999) Clostridium perfringens enterotoxin fragment removes specific claudins from tight junction strands: Evidence for direct involvement of claudins in tight junction barrier. J Cell Biol 147: 195–204.
  24. 24. Turksen K, Troy TC (2004) Barriers built on claudins. J Cell Sci 117: 2435–2447.
  25. 25. Van Itallie CM, Anderson JM (2006) Claudins and epithelial paracellular transport. Annu Rev Physiol 68: 403–429.
  26. 26. Loh YH, Christoffels A, Brenner S, Hunziker W, Venkatesh B (2004) Extensive expansion of the claudin gene family in the teleost fish, Fugu rubripes. Genome Res 14: 1248–1257.
  27. 27. Plotkin JB, Kudla G (2011) Synonymous but not the same: the causes and consequences of codon bias. Nat Rev Genet 12: 32–42.
  28. 28. Gustafsson C, Govindarajan S, Minshull J (2004) Codon bias and heterologous protein expression. Trends Biotechnol 22: 346–353.
  29. 29. Tipsmark CK, Baltzegar DA, Ozden O, Grubb BJ, Borski RJ (2008) Salinity regulates claudin mRNA and protein expression in the teleost gill. Am J Physiol Regul Integr Comp Physiol 294: R1004–1014.
  30. 30. Tipsmark CK, Kiilerich P, Nilsen TO, Ebbesson LO, Stefansson SO, et al. (2008) Branchial expression patterns of claudin isoforms in Atlantic salmon during seawater acclimation and smoltification. Am J Physiol Regul Integr Comp Physiol 294: R1563–1574.
  31. 31. Tipsmark CK, Luckenbach JA, Madsen SS, Kiilerich P, Borski RJ (2008) Osmoregulation and expression of ion transport proteins and putative claudins in the gill of southern flounder (Paralichthys lethostigma). Comp Biochem Physiol A Mol Integr Physiol 150: 265–273.
  32. 32. Cutler CP, Cramb G (2008) Differential expression of absorptive cation-chloride-cotransporters in the intestinal and renal tissues of the European eel (Anguilla anguilla). Comp Biochem Physiol B Biochem Mol Biol 149: 63–73.
  33. 33. Tse WK, Au DW, Wong CK (2006) Characterization of ion channel and transporter mRNA expressions in isolated gill chloride and pavement cells of seawater acclimating eels. Biochem Biophys Res Commun 346: 1181–1190.
  34. 34. Cutler CP, Martinez AS, Cramb G (2007) The role of aquaporin 3 in teleost fish. Comp Biochem Physiol A Mol Integr Physiol 148: 82–91.
  35. 35. Giffard-Mena I, Boulo V, Aujoulat F, Fowden H, Castille R, et al. (2007) Aquaporin molecular characterization in the sea-bass (Dicentrarchus labrax): the effect of salinity on AQP1 and AQP3 expression. Comp Biochem Physiol A Mol Integr Physiol 148: 430–444.
  36. 36. Giffard-Mena I, Lorin-Nebel C, Charmantier G, Castille R, Boulo V (2008) Adaptation of the sea-bass (Dicentrarchus labrax) to fresh water: role of aquaporins and Na+/K+-ATPases. Comp Biochem Physiol A Mol Integr Physiol 150: 332–338.
  37. 37. Varsamos S, Diaz JP, Charmantier G, Flik G, Blasco C, et al. (2002) Branchial chloride cells in sea bass (Dicentrarchus labrax) adapted to fresh water, seawater, and doubly concentrated seawater. J Exp Zool 293: 12–26.
  38. 38. Klein J (1986) Natural history of the major histocompatibility complex. New York: Wiley. 775 p.
  39. 39. Bernatchez L, Landry C (2003) MHC studies in nonmodel vertebrates: what have we learned about natural selection in 15 years? J Evol Biol 16: 363–377.
  40. 40. Hall NR, McGillis JP, Spangelo BL, Goldstein AL (1985) Evidence that thymosins and other biologic response modifiers can function as neuroactive immunotransmitters. J Immunol 135: 806s–811s.
  41. 41. Chilmonczyk S (1992) The thymus in fish: development and possible function in the immune response. Annual Review of Fish Diseases 2: 181–200.
  42. 42. D'Acquisto F, Perretti M, Flower RJ (2008) Annexin-A1: a pivotal regulator of the innate and adaptive immune systems. Br J Pharmacol 155: 152–169.