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Spatio-temporal genetic structuring of brown trout (Salmo trutta L.) populations within the River Luga, northwest Russia

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Abstract

The brown trout populations of the Baltic Sea region have been drastically affected by various human activities during the past century. Due to their propensity to home to their natal site to spawn and their tendency to evolve local adaptations, populations may be genetically differentiated in water systems where no physical barriers preventing interbreeding exist. Consequently, identification of management units, a prerequisite for appropriate conservation and management planning, cannot necessarily be deduced from the physical properties of the habitat. In this study, microsatellite markers were employed to assess the spatio-temporal genetic structuring of inter-connected brown trout populations from a river-system in Northwest Russia. Populations were found to be genetically differentiated from each other (global F ST 0.06) and the genetic structuring within the river to follow an isolation by distance pattern. Indications of temporal stability were found in some populations, however others appeared to be temporally unstable suggesting differences in the demographic forces affecting the populations. Based on the observed isolation by distance pattern of genetic differentiation, preserving several breeding sites spaced evenly throughout the river-system would appear to be more appropriate than focussing conservation effort on any single stretch of the river.

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References

  • Aljnabi SM, Martinez I (1997) Universal and rapid salt-extraction of high quality genomic DNA for PCR-based techniques. Nucleic Acids Res 25:4629–4693

    Google Scholar 

  • Allendorf FW, Waples RS (1996) Conservation and genetics of salmonid fishes. In: Avise JC, Hamrick JL (eds) Conservation genetics:case histories from nature. Chapman & Hall, New York, pp 238–280

    Google Scholar 

  • Brownstein MJ, Carpten JD, Smith JR (1996) Modulation of non-templated nucleotide addition by Taq DNA polymerase: primer modifications that facilitate genotyping. BioTechniques 20: 1004–1010

    PubMed  CAS  Google Scholar 

  • Carlsson J, Nilsson J (2000) Population genetic structure of brown trout (Salmo trutta L.) within a northern boreal forest stream. Hereditas 132:173–181

    Article  PubMed  CAS  Google Scholar 

  • Coalition Clean Baltic (CCB) Year Book (2002) Hazards and possibilities for the Baltic Sea region. Available at: http://www.ccb.se/documents/raamat. Accessed 29 Mar 2008

  • El Mousadik A, Petit RJ (1996) High levels of genetic differentiation for allelic richness among populations of the argan tree [Argania spinosa (L.) Skeels] endemic to Morocco. Theor Appl Gen 92:832–839

    Article  Google Scholar 

  • Elliott JM (1994) Quantitative ecology and the brown trout. Oxford University Press, Oxford, p 285

    Google Scholar 

  • Excoffier L, Smouse PE, Quattro JM (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes—application to human mitochondrial DNA restriction data. Genetics 131:479–491

    PubMed  CAS  Google Scholar 

  • Frankham R (1995) Conservation genetics. Annu Rev Genet 29:305–327

    Article  PubMed  CAS  Google Scholar 

  • Garant D, Dodson JJ, Bernatchez L (2000) Ecological determinants and temporal stability of the within-river population structure in Atlantic salmon (Salmo salar L.). Mol Ecol 9:615–628

    Article  PubMed  CAS  Google Scholar 

  • Gotelli NJ, Ellison AM (2004) A primer of ecological statistics. Sinauer Associates, Inc, Sunderland, MA

    Google Scholar 

  • Goudet J (1995): FSTAT (vers. 1.2) a computer program to calculate F-statistics. J Hered 86: 485–486

    Google Scholar 

  • Hansen MM, Nielsen EE, Mensberg K-LD (1997) The problem of sampling families rather than populations: relatedness among individuals in samples of juvenile brown trout (Salmo trutta L.). Mol Ecol 6:469–474

    Article  CAS  Google Scholar 

  • Hansen MM, Mensberg K-LD (1998) Genetic differentiation and relationship between genetic and geographical distance in Danish sea trout (Salmo trutta L.) populations. Heredity 81:493–504

    Article  Google Scholar 

  • Hansen MM, Ruzzante DE, Nielsen EE, Bekkevold D, Mensberg K-LD (2002) Long-term effective population sizes, temporal stability of genetic composition and potential for local adaptation in anadromous brown trout (Salmo trutta) populations. Mol Ecol 11:2523–2535

    Article  PubMed  Google Scholar 

  • Hansen MM, Jensen LF (2005) Sibship within samples of brown trout (Salmo trutta) and implications for supportive breeding. Conserv Gen 6:297–305

    Article  Google Scholar 

  • Hanski I, Simberloff D (1997) The metapopulation approach, its history, conceptual domain and applications to conservation. In: Hanski I, Gilpin ME (eds) Metapopulation biology, ecology, genetics, and evolution. Academic Press, San Diego, CA, pp 183–210

    Google Scholar 

  • Heath DD, Busch C, Kelly J, Atagi DY (2002) Temporal change in genetic structure and effective population size in steelhead trout (Onchorynchys mykiss). Mol Ecol 11:197–214

    Article  PubMed  CAS  Google Scholar 

  • Heggenes J, Røed KH (2006) Do dams increase genetic diversity in brown trout (Salmo trutta)? Microgeographical differentiation in a fragmented river. Ecol Freshw Fish 15:366–375

    Article  Google Scholar 

  • Horrall RM (1981) Behavioural stock-isolating mechanisms in Great Lake fishes with special reference to homing and site imprinting. Can J Fish Aquat Sci 38:1481–1496

    Article  Google Scholar 

  • ICES (2006) Report of the Baltic Salmon and Trout Asessment Working Group (WGBAST), 28 March–6 April 2006, ICES Headquarters. ICES CM 2006/ACFM:21, 209 pp

  • Iles TD, Sinclair M (1982) Atlantic Herring: stock discreteness and abundance. Science 215:627–633

    Article  PubMed  CAS  Google Scholar 

  • Knutsen H, Knutsen JA, Jorde PE (2001) Genetic evidence for mixed origin of recolonized sea trout populations. Heredity 87:207–214

    Article  PubMed  CAS  Google Scholar 

  • Kristoforov OL, Murza IG (2003) Status of populations and reproduction of Atlantic salmon in the Russian part of the Baltic Sea. In: Atlantic salmon biology, conservation and restoration, pp 52–60. ISBN 5–9274–0122–8

  • Morán P, Pendás AM, García-Vásquez E, Izquierdo JI, Lobón-Cerviá (1995) Estimates of gene flow among neighbouring populations of brown trout. J Fish Biol 46:593–602

    Article  Google Scholar 

  • Østergaard S, Hansen MM, Loeschke V, Nielsen EE (2003) Long-term temporal changes of genetic composition in brown trout (Salmo trutta L.) populations inhabiting an unstable environment. Mol Ecol 12:3123–3135

    Article  PubMed  Google Scholar 

  • Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295

    Article  Google Scholar 

  • Piry S, Alapetite A, Cornuet J-M, Paetkau D, Baudouin L, Estoup A (2004) GeneClass2: A software for genetic assignment and first-generation migrant detection. J Hered 95:536–539

    Article  PubMed  CAS  Google Scholar 

  • Primmer CR, Veselov AJ, Zubchenko A, Potutkin A, Bakhmet I, Koskinen MT (2006) Isolation by distance withn a river system: genetic population structuring of Atlantic salmon, Salmo salar, in the tributaries of the Varzuga River in northwest Russia. Mol Ecol 15: 653–666

    Article  PubMed  CAS  Google Scholar 

  • Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenism. J Hered 86: 248–249

    Google Scholar 

  • Reed DH, Frankham R (2003) Correlation between fitness and genetic diversity. Conserv Biol 17:230–237

    Article  Google Scholar 

  • Rice WR (1989) Analyzing tables of statistical tests. Evolution 43: 223–225

    Article  Google Scholar 

  • Ruzzante DE, Hansen MM, Meldrup D (2001) Distribution of individual inbreeding coefficients, relatedness and influence of stocking on native anadromous brown trout (Salmo trutta) population structure. Mol Ecol 10:2107–2128

    Article  PubMed  CAS  Google Scholar 

  • Schneider S, Kueffer J-M, Roessli D, Excoffier L (2000) Arlequin, Version 2.000. A software for population genetics data analysis. Genetics and Biometry laboratory, University of Geneva, Geneva

  • Skaala Ø, Nævdal G (1989) Genetic differentiation between freshwater resident and anadromous brown trout, Salmo trutta, within watercourses. J Fish Biol 34:597–605

    Article  Google Scholar 

  • Slettan A, Olsaker I, Lie O (1996) PolymorphicAtlantic salmon, Salmo salar L., microsatellites at the SSOSL438, SSOSL439, SSOSL444 loci. Anim Genet 27:57–58

    Article  PubMed  CAS  Google Scholar 

  • Spidle AP, Schill WB, Lubinski BA, King TL (2001) Fine-scale population structure in Atlantic salmon from Maine’s Penobscot River drainage. Conserv Gen 2:11–24

    Article  CAS  Google Scholar 

  • Taylor EB (1991) A review of local adaptationin Salmonidae, with particular reference to Pacific and Atlantic salmon. Aquaculture 98:185–207

    Article  Google Scholar 

  • Tiira K, Laurila A, Enberg K, Piironen J, Aikio S, Ranta E, Primmer CR (2006) Do dominants have higher heterozygosity? Social status and genetic variation in brown trout, Salmo trutta. Behav Ecol Sociobiol 59:657–669

    Article  Google Scholar 

  • Vähä J-PK, Erkinaro J, Niemelä E, Primmer CR (2007) Life-history and habitat features influence the within-river genetic structure of Atlantic salmon. Mol. Ecol. 16: 2638–2654

    Article  PubMed  Google Scholar 

  • Wang J (2004) Sibship reconstruction from genetic data with typing errors. Genetics 166: 1963–1979

    Article  PubMed  Google Scholar 

  • WEHAB working group (2002) A Framework for Action on Biodiversity & Ecosystem Management. Available from http://www.un.org/jsummit/html/documents/wehab_papers.html. Accessed 29 Mar 2008

  • Weir BS, Cockerham CC (1984) Estimating F-statistics for the analysis of population structure. Evolution 38:1358–1370

    Article  Google Scholar 

Download references

Acknowledgements

We thank Leena Laaksonen for assistance in the laboratory and Ville Aukee for helping with manuscript formatting. Several anonymous reviewers provided comments which improved the manuscript.

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Correspondence to Craig R. Primmer.

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Appendix 1 The waterway distances between each of the Luga River populations and the pairwise F ST values for all of the 16 populations included in the study

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Lehtonen, P.K., Tonteri, A., Sendek, D. et al. Spatio-temporal genetic structuring of brown trout (Salmo trutta L.) populations within the River Luga, northwest Russia. Conserv Genet 10, 281–289 (2009). https://doi.org/10.1007/s10592-008-9577-2

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