ATLANTIC COD

1. BI3063 H10 J. Mork ATLANTIC COD Both with respect to potential harmful genetic effects on fish stocks from human activities, and the available management tools for remedying the situation, Hallerman mostly use examples from salmonids, and in particular anadromous Pacific salmonids. Among the targeted human activities, the fish farming industry and its effects has atracted particular attention. The Danish population geneticist Dorte Bekkevold and collegues (Bekkevold et al. 2005) argue that the problems encountered in salmonid farming apply to cod farming as well (cf next slide). Web site for downloading Bekkevold et al. (2005): http://icesjms.oxfordjournals.org/cgi/reprint/63/2/198

2. BI3063 H10 J. Mork ATLANTIC COD

3. BI3063 H10 J. Mork ATLANTIC COD

4. BI3063 H10 J. Mork ATLANTIC COD In the following, we shall explore various aspects of cod and gadoid genetics which have a bearing on whether these species are vulnerable to various human activities (wild stock exploitation, introgression by escaped farmed fish) in a way similar to the salmon.

5. BI3063 H10 J. Mork ATLANTIC COD • Genetic effects from ranching; lessons come mainly from salmonid farming/ranching: • Changes in genetic composition of farmed stock over time • Agents: • Random genetic drift • Domestication selection (no predators, excess food, vaccines) • Selection for performance traits reduces genetic variability • Mating of close relatives • Effects: • Reduced genetic variability • Reduced shyness • Loss of natural adaptivity • Harmful inbreeding effects

6. BI3063 H10 J. Mork ATLANTIC COD Knowledge on gadoid population structure exists for Cod (Gadus morhua L.) Haddock (Melanogrammus aeglefinus) Whiting (Merlangus merlangius) Saithe (Pollachius virens) Norway pout (Trisopterus esmarkii) Poor cod (Trisopterus minutus) Blue whiting (Micromesistius poutassou) Hake (Merluccius merluccius)

7. BI3063 H10 J. Mork ATLANTIC COD (Source: Smith & Mork unpublished)

8. BI3063 H10 J. Mork ATLANTIC COD Milestone studies on the genetic population structure of the Atlantic cod are: Schmidt (1930) Meristics used in cod study throughout range Tåning (1946) Showed meristics are affected by selection (temperature) Sick (1961) Cod and whiting haemoglobin polymorphism Sick (1965 a,b) Cod HbI allele frequencies throughout range Frydenberg et al. (1965) Cod HbI allele frequencies Norwegian waters Møller (1968) Cod HbI, Tf and blood type Norwegian waters Karpov & Novikov (1980) Cod HbI affected by natural selection (temperature) Mork et al. (1985) Cod tissue allozymes througout range Dahle (1992) Cod (NEAC& NCC) mtDNA RFLP Pogson (1995) Cod allozyme and PanI cDNA RFLP) throughout range Arnason & Palsson (1996) Cod (NEAC & NCC) mt Cyt b sequences Arnason (1998) Cod mtDNA Cyt b sequences throughout range Karlson & Mork (2001) Showed PanI heavily affected by natural selection Karlsson & Mork (2005) Showed microsat loci affected by natural selection Nielsen et al. (2005) Microsat hitchhike selection create false impression of isolation Are 3rd codon position silent substitutions (e.g. at mtDNA Cyt b) the great white hope?

9. BI3063 H10 J. Mork ATLANTIC COD Cod genetics literature Arnason, E., Palsson, S. 1996. Mitochondrial cytochrome b DNA sequence variation of Atlantic cod (Gadus morhua) from Norway. Molecular Ecology 5: 715-724. Arnason, E. 1998. Mitochondrial cytochrome b DNA sequence variation of Atlantic cod Gadus morhua. In The implications of localized fishery stocks (Ed.) von Herbing, I.H., Kornfield, I., Tupper, M., Wilson, J. Natural Resource Agriculture and Engineering Service New York. pp 129-137. Frydenberg, O., Møller, D., Nævdal, G., Sick, K. 1965. Haemoglobin polymorphism in Norwegian cod populations. Hereditas 53: 257-272. Godø, O.R., Moksness, E. 1987. Growth and maturation of Norwegian coastal cod and northeast Arctic cod under different conditions. Fisheries Research 5: 235-242. Godø, O.R. 1995. Transplantation-tagging experiments in preliminary studies of migration of cod off Norway. ICES Journal of Marine Science 52: 955-962. Karlsson, S., Mork, J. 2001. Evidence for natural selection at the synaptophysin locus (Syp1) in a natural population of cod (Gadus morhua L.). ICES C.M.2001/L:11 Karpov, A.K., Novikov, G.G. 1980. Hemoglobin alloforms in cod, Gadus morhua (gadiformes, gadidae), their functional characteristics and occurrence in populations. Journal of Ichthyology (In Russian) 20(6): 45-50. Mork, J., Ryman, N., Ståhl, G., Utter, F., Sundnes, G. 1985. Genetic variation in Atlantic cod (Gadus morhua) throughout its range. Canadian Journal of Fisheries & Aquatic Sciences 42: 1580-1587.

10. ATLANTIC COD BI3063 H10 J. Mork Cod genetics literature cont'd Møller, D., 1968. Genetic diversity in spawning cod along the Norwegian coast. — Hereditas60 1–32.Møller, D., 1969. The relationship between arctic and coastal cod in their immature stages illustrated by frequencies of genetic characters. — FiskDir. Skr. (Havunders.)15 220–233.  Nielsen, E.E., Hansen, M.M. & Meldrup, D. 2006. Evidence of microsatellite hitch-hiking selection in Atlantic cod (Gadus morhua L.): implications for inferring population structure in nonmodel organisms.Molecular Ecology 15 (11): 3219-3229. Nielsen, E. MacKenzies, B., Magnussen, E. and Meldrup, D. 2007. Historical analysis of Pan I in Atlantic cod (Gadus morhua): temporal stability of allele frequencies in the southeastern part of the species distribution. Can. J. Fish. Aquat. Sci. 64:(10): 1448-1455. Pogson, G.H., Mesa, K.A., Boutilier, R.G. 1995. Genetic population structure and gene flow in the Atlantic cod Gadus morhua: a comparison of allozyme and nuclear RFLP loci. Genetics 139: 375-385. Pogson, G.H. 2001. Nucleotide polymorphism and natural selection at the Panthophysine (Pan I) locus in the Atlantic cod, Gadus morhua (L.). Genetics 157: 317-330. Sick, K., 1961. Haemoglobin polymorphism in fishes. — Nature, Lond.192 894–896. Sick, K. 1965a. Haemoglobin polymorphism of cod in the Baltic and Danish Belt Sea. Hereditas 54: 19-48. Sick, K. 1965b. Haemoglobin polymorphism of cod in the North Sea and the North Atlantic Ocean. Hereditas 54: 49-69. Rollefsen, G., 1933. The otoliths of the cod. — FiskDir. Skr. (Havunders.)4 (3), 1–14. Wilkins, N. P., 1971. Haemoglobin polymorphism in cod, whiting and pollack in Scottish waters. — Rapp. P.-v. Réun. Cons. perm. int. Explor. Mer161 60–64. Tåning, A.V. 1946: Stage of determination of vertebrae in teleostean fishes. Nature 157: 594-595.

11. BI3063 H10 J. Mork ATLANTIC COD Cod genetics literature cont'd Cod population genetic studies at Trondhjem Biological Station: Mork. J., Giskeødegard, R., Sundnes, G. 1983. Haemoglobin polymorphism in Gadus morhua: genotypic differences in maturing age and within-season gonad maturation. Helgolander Meerescuntersuchungen 36: 313-322. Mork, J., Ryman, N., Ståhl, G., Utter, F., Sundnes, G. 1985. Genetic variation in Atlantic cod (Gadus morhua) throughout its range. Canadian Journal of Fisheries & Aquatic Sciences 42: 1580-1587. Mork. J., Sundnes, G. 1985a. 0-Group cod (Gadus morhua) in captivity: differential survival of certain genotypes. Helgolander Meerescuntersuchungen 39: 63-70. Mork. J., Sundnes, G. 1985b. The haemoglobin polymorphism in cod (Gadus morhua): allele frequency variation between year classes in a Norwegian fjord stock. Helgolander Meerescuntersuchungen 39: 55-62. Mork, J., Giæver, M. 1999. Genetic structure of cod along the coast of Norway; results from isozyme studies. Sarsia 84: 157-168. Karlsson, S., and Mork, J. 2003. Selection-induced variation at the. pantophysin locus (PanI) in a Norwegian fjord population of. cod (Gadus morhua L.). Molecular Ecology 12: 3265-3274. Karlsson, S. & Mork, J. 2005. Deviation from Hardy–Weinberg equilibrium, and temporal instability in allele frequencies at microsatellite loci in a local population of Atlantic cod. ICES Journal of Marine Science: Journal du Conseil 2005 62(8):1588-1596.

12. Case studies in cod BI3063 H10 J. Mork ATLANTIC COD

13. Case studies in cod BI3063 H10 J. Mork ATLANTIC COD Deviation from Hardy–Weinberg equilibrium, and temporal instability in allele frequencies at microsatellite loci in a local population of Atlantic cod S. Karlsson & J. Mork Abstract: A total of 1455 spawning cod, sampled from a local spawningarea in Trondheimsfjord (Norway) between 1985 and 2002, wasscreened at the microsatellite loci Gmo132 and Gmo2. Samplesfrom 15 spawning years comprising 29 consecutive cohorts wereanalysed. At the Gmo132 locus, but not at Gmo2, allele frequenciesvaried significantly among sampling years as well as cohorts,corresponding to FST-values of 0.004 and 0.006, respectively.Both loci showed examples of significant deviations from Hardy–Weinbergexpectation within sampling years as well as cohorts, manifestedas deficiencies of heterozygotes. Combining the p-values fromthe single tests (Fisher's method) revealed an overall significantp-value for deviation from the Hardy–Weinberg expectationsat Gmo132 but not at Gmo2. Trend tests showed significant HWdeficiencies at both loci for annual samples but not for cohorts.Possible reasons for the deficiencies were discussed; interalia the existence of null alleles, or a form of pseudo Wahlundeffect due to a patchy distribution of habitats for settlingO-group cod in the Trondheimsfjord. It was noted that theremight be a relationship between the relatively high temporalwithin-population variability of allele frequencies at Gmo132and the fact that among microsatellite loci studied so far,Gmo132 is the one that usuallyshows the highest genetic differentiationgeographically in cod.

14. Case studies in cod BI3063 H10 J. Mork ATLANTIC COD Evidence of microsatellite hitch-hiking selection in Atlantic cod (Gadus morhua L.): implications for inferring population structure in nonmodel organisms Nielsen, E.E., Hansen, M.M. & Meldrup, D. Abstract: Microsatellites have gained wide application for elucidating population structure in nonmodel organisms. Since they are generally noncoding, neutrality is assumed but rarely tested. In Atlantic cod (Gadus morhua L.), microsatellite studies have revealed highly heterogeneous estimates of genetic differentiation among loci. In particular one locus, Gmo 132, has demonstrated elevated genetic differentiation. We investigated possible hitch-hiking selection at this and other microsatellite loci in Atlantic cod. We employed 11 loci for analysing samples from the Baltic Sea, North Sea, Barents Sea and Newfoundland covering a large part of the species' distributional range. The 'classical' Lewontin–Krakauer test for selection based on variance in estimates of FST and (standardized genetic differentiation) revealed only one significant pairwise test (North Sea–Barents Sea), and the source of the elevated variance could not be ascribed exclusively to Gmo 132. In contrast, different variants of the recently developed ln Rθ test for selective sweeps at microsatellite loci revealed a high number of significant outcomes of pair-wise tests for Gmo 132. Further, the presence of selection was indicated in at least one other locus. The results suggest that many previous estimates of genetic differentiation in cod based on microsatellites are inflated, and in some cases relationships among populations are obscured by one or more loci being the subject to hitch-hiking selection. Likewise, temporal estimates of effective population sizes in Atlantic cod may be flawed. We recommend, generally, to use a higher number of microsatellite loci to elucidate population structure in marine fishes and other nonmodel species to allow for identification of outlier loci that are subject to selection.

15. Case studies in cod BI3063 H10 J. Mork ATLANTIC COD Historical analysis of Pan I in Atlantic cod (Gadus morhua): temporal stability of allele frequencies in the southeastern part of the species distribution Nielsen, E. E.; MacKenzie, B.R.; Magnussen, E. & Meldrup, D. Canadian Journal of Fisheries and Aquatic Sciences, Volume 64, Number 10, 1 October 2007 , pp. 1448-1455(8) Abstract: We investigated temporal genetic differentiation at the pantophysin (Pan I) locus in four Atlantic cod (Gadus morhua) populations from the southeastern part of the species distribution: the Baltic Sea, the North Sea, the Faroe Plateau, and the Faroe Bank. Historical otolith collections enabled investigation of allele frequency variation over time periods up to 69 years employing Pan I primers specifically designed for partially degraded DNA. Small and nonsignificant temporal changes in Pan I allele frequencies were observed in the four populations. Simultaneous microsatellite analysis revealed similar temporal genetic stability with temporal FST values ranging from 0 to 0.006, suggesting limited demographic changes. Sea surface temperature, which has been suggested as the primary driver for the geographical distribution of Pan I alleles in cod, showed no long-term trend although temperature has increased since the mid-1990s. Our study demonstrates that populations in the southeastern part of the species range has been characterized by very high frequencies of the Pan IA allele for many decades, and accordingly, Pan I serves as a reliable marker for genetic stock identification on a macrogeographical scale.

16. BI3063 H10 J. Mork BLUE WHITING

17. Case studies in blue whiting BI3063 H10 J. Mork BLUE WHITING Blue whiting population genetic studies at Trondhjem Biological Station: Mork, J. & Giæver, M. 1995. Genetic variation at isozyme loci in blue whiting from the north-east Atlantic. Journal of Fish Biology 46: 462-468. Giæver, M. & Mork, J. 1995. Further studies on the genetic population structure of the blue whiting (Micromesistius poutassou) in the north-east parts of the distribution range. ICES C.M. 1995/H:11. Mork, J. & Giæver, M. 1993. The genetic population structure of the blue whiting (Micromesistius poutassou). ICES C.M. 1993/H:5. Giæver & Stien, M. 1997. Population genetic substructure in blue whiting based on allozyme data. Journal of Fish Biology 52: 782-795. Ryan, A.W., Mattiangeli, V. & Mork, J. 2005. Genetic differentiation of blue whiting (Micromesistius poutassou Risso) populations at the extremes of the species range and at the Hebrides-Porcupine Bank spawning grounds. ICES Journal of Marine Sciences, 62; 948-955).

18. Case studies in blue whiting BI3063 H10 J. Mork BLUE WHITING Giæver & Stien, M. 1997. Population genetic substructure in blue whiting based on allozyme data. Journal of Fish Biology 52: 782-795.

19. BI3063 H10 J. Mork HADDOCK

20. Case study in haddock BI3063 H10 J. Mork HADDOCK Material: Haddock samples from the Russian boarer to the west coast of Sweden. Methods Starch gel electrophoresis and histochemical staining of 10 polymorphic tissues enzyme loci. Main result: No statistically significant genetic differentiation in the investigated area.

21. BI3063 H10 J. Mork SAITHE

22. BI3063 H10 J. Mork WHITING

23. BI3063 H10 J. Mork Case study in saithe and whiting SAITHE & WHITING

24. BI3063 H10 J. Mork NORWAY POUT

25. Case study in Norway pout BI3063 H10 J. Mork NORWAY POUT

26. BI3063 H10 J. Mork HAKE

27. Case study in hake BI3063 H10 J. Mork HAKE

28. BI3063 H10 J. Mork POOR COD

29. Case study in poor cod BI3063 H10 J. Mork POOR COD VNTR variability in Atlantic poor cod (Trisopterus minutus minutus) throughout its range: single locus minisatellite data suggest reproductive isolation for the Faroe Bank population Mattiangeli, V., Galvin, P., Ryan, A., Mork, J., & Cross, T. Abstract Nine samples of Atlantic poor cod, Trisopterus minutus minutus, collected from the Bay of Biscay to Trondheimsfjord, Norway, were analysed using three minisatellite DNA loci, amplified using PCR and screened with an automated sequencer. One locus was found to be polymorphic. FST analysis using the polymorphic locus indicated that 2.2% of the total genetic diversity detected was due to differences among samples (FST = 0.022; P < 0.001). The only significant pair-wise heterogeneity was found between the Faroe Bank and each of the other samples. This is consistent with previous analyses of the same samples using 11 polymorphic allozyme loci. Journal: Fisheries research   ISSN 0165-7836   

30. Special case: NEAC and NCC) BI3063 H10 J. Mork Norteast arctic cod (NEAC) and Norwegian coastal cod (NCC)

31. BI3063 H10 J. Mork Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) Allozymes Cod sampling sites throughout the distribution range

32. BI3063 H10 J. Mork Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) Allozymes Left: UPGMA Dendrogram leaving out not significant bifurcations. Right: Comparison of allele frequencies at polymorphic loci in all localities.

33. BI3063 H10 J. Mork Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) Allozymes Relation between genetic distance and geographic distance in Atlantic cod (based on same data as in previous slides).

34. Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) BI3063 H10 J. Mork Allozymes Left: Side-by-side comparison of allele frequencies at the 11 most polymorphic allozyme loci in NEAC and NCC. Right: Small arrows point at the level of genetic distances between cod stocks compared to usual levels at the population level.

35. BI3063 H10 J. Mork Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) Allozymes FST values for intra-specific groupings in cod compared to other species: From left to right: Atlantic cod, atlantic salmon, brown trout, rainbow trout, house mouse, Drodophila, and man. The hatched upper part of the bars represent the FST vales.

36. BI3063 H10 J. Mork Norteast arctic cod (NEAC)and Norwegian coastal cod (NCC) Haemoglobins Karpov & Novikov (1980) suggested that the south-north HbI allele frequency cline observed on both sides of the Atlantic can be explained by a cline due to natural selection by temperatures. This simultaneously suggested a new explanation for the observed HbI allele frequency cline along the Norwegian coast NCC) and into the Barents Sea (NEAC). In the Trondheimsfjord cod, HbI genotypic growth differences seem to concord with the HbI genotypic differences in O2 affinity by temperature (Figure to the left).

37. BI3063 H10 J. Mork Gadoid phylogeny

38. NFFR project I 309.007 Phylogeny and genetic structure in common benthic fish species of the east Atlantic Allozymes

39. BI3063 H10 J. Mork Allozymes Gadoid phylogeny

40. BI3063 H10 J. Mork Allozymes Gadoid phylogeny NFFR project I 309.007 Phylogeny and genetic structure in common benthic fish species of the east Atlantic

41. BI3063 H10 J. Mork Gadoid phylogeny Allozymes

42. Genetic and biologic stock management BI 3063 J. Mork H08 Gadoid phylogeny (From Bakke & Johansen) mt DNA sequences For comparison, the time since divergence between Atlantic cod and Pacific cod is probably around half a million years.

43. BI3063 H10 J. Mork Gadoid phylogeny Allozymes

44. Gadoid phylogeny BI3063 H10 J. Mork Allozymes

45. Gadoid phylogeny BI3063 H10 J. Mork Allozymes Comparing measures of genetic variability in gadoid species.

46. Gadoid phylogeny BI3063 H10 J. Mork Allozymes

47. Gadoid phylogeny BI3063 H10 J. Mork Allozymes INTERPRETATION OF THE INTRA-SPECIFIC DENDROGRAMS ON PREVIOUS SLIDE

48. Gadoid phylogeny BI3063 H10 J. Mork Allozymes List of P-values from tests of intra-specific genetic differentiation between geographic areas in 5 gadoid species. Only P-values from the loci that showed the largest genetic differences are shown, and even they are all far from significance.

49. Gadoid phylogeny BI3063 H10 J. Mork Allozymes Marianne Giæver at Trondhjem Biological Station wrote her doctoral Thesis on the genetic differentiation in three gadoid species; cod, haddock, and blue whiting. One of the main conclusions was that in all the species, the genetic differentiation appeares to be caused by "Isolation by distance". Typically, it was the populations at the fringes of the species' range that were the genetically most divergent. This is consistent with the meta-population concept.

50. Gadoid phylogeny BI3063 H10 J. Mork Summing up With respect to genetic stock management, the above treatment of genetic studies and considerations suggest that the gadoids are more resilient than anadromous salmonids to some human activities (e.g. over-exploitation, genetic introgression by farmed fish escapes, and disease transfer from captive stocks). This is not to say that gadoids are immune to effects from over-exploitation and mis-management. Probably, many species and populations are more vulnerable in times of climate changes, like the situation is today. There is still every reason to conduct stock management by the pre-cautionary principle, with respect to biological as well as genetic and evolutionary hazards.