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Genetic differentiation between collections of hatchery and wild masu salmon (Oncorhynchus masou) inferred from mitochondrial and microsatellite DNA analyses

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Abstract

There has been very little effort to understand genetic divergence between wild and hatchery populations of masu salmon (Oncorhynchus masou). In this study, we used mitochondrial (mt) NADH dehydrogenase subunit 5 gene (ND5) and six polymorphic nuclear microsatellite DNA loci to compare the genetic variability in three hatchery broodstocks of masu salmon with the variability in eight putative wild masu populations sampled in five rivers including one known source river for the hatchery broodstocks. Both ND5 and microsatellites showed no significant genetic divergence (based on FST estimates) between four annual collections from the source river population, suggesting no change in genetic diversity over this time period. The FST estimates, an analysis of molecular variance (AMOVA), and a neighbor-joining tree using both DNA markers suggested significant differentiation between the three hatchery and all eight putative wild populations. We conclude that genetic diversity of hatchery populations are low relative to putative wild populations of masu salmon, and we discuss the implications for conservation and fisheries management in Hokkaido.

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References

  • Allendorf FW, Phelps SR (1980) Loss of genetic variation in a hatchery stock of cutthroat trout. Trans Am Fish Soc 109:537–543

    Article  Google Scholar 

  • Allendorf FW, Ryman N (1987) Genetic management of hatchery stocks. In: Ryman N, Utter F (eds) Population Genetics and Fishery Management. University of Washington Press, Seattle, pp 141–159

    Google Scholar 

  • Andersson E, Peixoto B, Tormanen V, Matsunaga T (1995) Evolution of the immunoglobulin M constant region genes of salmonid fish, rainbow trou (Oncorhynchus mykiss) and Arctic charr (Salvelinus alpinus): implications concerning divergence time of species. Immunogenetics 41:312–315

    PubMed  CAS  Google Scholar 

  • Busack CA, Currens KP (1995) Genetic risks and hazards in hatchery operations: Fundamental concepts and issues. pp. 71–80 In: Schramm HL Jr, Piper RG (ed) Uses and effects of cultured fishes in aquatic ecosystems. Am. Fish Soc. Symp. No. 15.

  • Campton D (1995) Genetic effects of hatchery fish on wild populations of Pacific salmon and steelhead: what do we really know? In: Schramm HL Jr, Piper RG (ed) Uses and effects of cultured in aquatic ecosystems, pp. 253–337. Am. Fish Soc. Symp. No. 15

  • Cross TF (2000) Genetic implications of translocation and stocking of fish species, with particular reference to Western Australia. Aquacult Res 31:83–94

    Article  Google Scholar 

  • Dunham RA (2004) Aquaculture and fisheries biotechnology: genetic approaches. Cambridge. Mass, CABI Publishing, p 372

    Book  Google Scholar 

  • Edpalina RR, Yoon M, Urawa S, Kusuda S, Urano A, Abe S (2004) Genetic variation in wild and hatchery populations of Masu salmon(Oncorhynchus masou) inferred from mitochondrial DNA sequence analysis. Fish Genet Breed Sci 34:37–44

    Google Scholar 

  • Evans DM, Cardon LR (2004) Guidelines for genotyping in genomewide linkage studies: single-nucleotide–polymorphism maps versus microsatellite maps. Am J Hum Genet 75:687–692

    Article  PubMed  CAS  Google Scholar 

  • Excoffier L, Laval G, Schneider S (2005) Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evol Bioinform Online 1:47–50

    CAS  Google Scholar 

  • Felsenstein, J (2004) PHYLIP (Phylogeny Inference Package) version 3.6. Distributed by the author. Department of Genome Sciences, University of Washington, Seattle

  • Goudet J (2001) FSTAT: A Program to Estimate and Test Gene Diversities and Fixation Indices (version 2.9.3). Available from http://www.unil.ch/izea/softwares/fstat.html. Updated from Goudet (1995)

  • Hara T, Nagase T, Kuwada T, Tokuhara T, Ozaki A, Okamoto N (2005) Amago salmon microsatellite markers (unpublished) GenBank: AB213231

  • Hindar K, Ryman N, Utter F (1991) Genetic effects of cultured fish on natural fish populations. Can J Fish Aquat Sci 48:945–957

    Article  Google Scholar 

  • Hoarau G, Piquet AMT, Van der Veer HW, Rijnsdorp AD, Stam WT, Olsen JL (2004) Population structure of plaice (Pleuronectes platessa L.) in northern Europe: a comparison of resolving power between microsatellites and mitochondrial DNA data. J Sea Res 51:183–190

    Article  CAS  Google Scholar 

  • Hulata G (1995) A review of genetic improvement of the corm-non carp (Cyprinus carpiu L.) and other cyprinids by crossbreeding, hybridization and selection. Aquaculture 129:143–155

    Article  Google Scholar 

  • Iguchi K, Watanabe K, Nishida M (1999) Reduced mitochondrial DNA variation in hatchery populations of ayu (Plecoglossus altiÍelis) cultured for multiple generations. Aquaculture 178:235–243

    Article  CAS  Google Scholar 

  • Kato F (1991) Life histories of masu and amago salmon (Oncorhynchus masou and Oncorhynchus rhodurus). In: Groot C, Margolis L (eds) Pacific salmon life histories. UBC Press, Vancouver, pp 396–414

    Google Scholar 

  • Kim JE, Withler RE, Ritland C, Cheng KM (2004) Genetic variation within and between domesticated Chinook salmon, Oncorhynchus tshawytscha, strains and their progenitor populations. Environ Biol Fish 69:371–378

    Article  Google Scholar 

  • Kimura M (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol 16:111–120

    Article  PubMed  CAS  Google Scholar 

  • Kitanish S, Edo K, Yamamoto T, Azuma N, Hasegawa O, Higashi S (2007) Genetic structure of masu salmon (Oncorhynchus masou) populations in Hokkaido, northernmost Japan, inferred from mitochondrial DNA variation. J Fish Biol 71:437–452

    Article  Google Scholar 

  • Mayama H (1992) Studies on the freshwater life and propagation technology of masu salmon, Oncorhynchus masou (Brevoort). Sci Rep Hokkaido Salmon Hatchery 46:1–156

    Google Scholar 

  • Mickett K, Morton C, Feng J, Li P, Simmons M, Cao D, Dunham RA, Liu Z (2003) Assessing genetic diversity of domestic populations of channel catfish (Ictalurus punctatus) in Alabama using AFLP markers. Aquaculture 228:91–105

    Article  CAS  Google Scholar 

  • Miller L, Kapuscinski A (2003) Genetic guidelines for hatchery supplementation programs. In: Hallerman EM (ed) Population genetics: Principles and applications for fisheries scientists. Am. Fish. Soc, Bethesda, Maryland, pp 329–356

    Google Scholar 

  • Miyakoshi Y, Nagata M, Sugiwaka K, Kitada S (2001) Commercial harvest of hatchery-reared masu salmon Oncorhynchus masou estimated by a coast-wide sampling program in Hokkaido, northern Japan, and the two-stage sampling schemes of landings. Fish Sci 67:126–133

    Article  CAS  Google Scholar 

  • Miyakoshi Y, Koyama T, Aoyama T, Sakakibara S, Kitada S (2004) Estimates of numbers of masu salmon caught by recreational fishermen in the coastal area off Iburi, Hokkaido, Japan. Fish Sci 70:87–93

    Article  CAS  Google Scholar 

  • Naish KA, Park LK (2002) Linkage relationships for 35 new microsatellite loci in chinook salmon Oncorhynchus tshawytscha. Anim Genet 33:312–327

    Article  Google Scholar 

  • Noguchi D, Taniguchi N (2007) Studies on the genetic diversity of wild populations of masu salmon, Oncorhynchus masou masou, by microsatellite DNA markers. Aquacult Sci 55:521–527 (in Japanese with English abstract)

    CAS  Google Scholar 

  • Noguchi D, Ikeda M, Nakajima M, Taniguchi N (2003) Isolation and characterization of microsatellite DNA markers for population genetics study of Masu Salmon, Oncorhynchus masou masou. Fish Genet Breed Sci 33:61–66 (in Japanese with English abstract)

    Google Scholar 

  • Norris AT, Bradley DG, Cunningham EP (1999) Microsatellite genetic variation between and within farmed and wild Atlantic salmon (Salmo salar) populations. Aquaculture 180:247–264

    Article  Google Scholar 

  • Olsen JB, Wilson SL, Kretschmer EJ, Jones KC, Seeb JE (2000) Characterization of 14 tetranucleotide microsatellite loci derived from sockeye salmon. Mol Ecol 9:2155–2234

    Article  Google Scholar 

  • Oosterhout CV, Hutchinson WF, Derek P, Wills M, Shipley P (2004) MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes 4:535–538

    Article  Google Scholar 

  • Page RDM (1996) TREEVIEW: An application to display phylogenetic trees on personal computers. Comput Appl Biosci 12:357–358

    PubMed  CAS  Google Scholar 

  • Raymond M, Rousset F (2004) Genepop (version 3.4): Population genetics software for exact tests and ecumenicism. Available at: http://genepop.curtin.edu.au/

  • Saitou N, Nei M (1987) The neighbor-joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406–425

    PubMed  CAS  Google Scholar 

  • Simmons M, Mickett K, Kucuktas H, Li P, Dunham R, Liu Z (2006) Comparison of domestic and wild channel catfish (Ictalurus punctatus) populations provides no evidence for genetic impact. Aquaculture 252:133–146

    Article  Google Scholar 

  • Takayama Y, Rand-Weaver M, Kawauchi H, Ono M (1991) Gene structure of chum salmon somatolactin, a presumed pituitary hormone of the growth hormone/prolactin family. Mol Endocrinol 5:778–786

    Article  PubMed  CAS  Google Scholar 

  • Utter F, Hindar K, Ryman N (1993) Genetic effects of aquaculture on natural salmonid populations. In: Heen K, Monahan RL, Utter F (eds) Salmon Aquaculture. Blackwell, Oxford, pp 144–165

    Google Scholar 

  • Ward RD, Grewe PM (1994) Appraisal of molecular genetic techniques in fisheries. Rev Fish Biol Fish 4:300–325

    Article  Google Scholar 

  • Yu J-N, Azuma N, Brykov V, Urawa S, Nagata M, Jin D-H, Abe S (2010a) Genetic population structure and phylogeography of masu salmon (Oncorhynchus masou masou) inferred from mitochondrial and microsatellite DNA analyses. Zool Sci 27:375–385

    Article  PubMed  CAS  Google Scholar 

  • Yu J-N, Azuma N, Brykov V, Urawa S, Ohkuma K, Abe S (2010b) Genetic relationships between anadromous and non-anadromous masu salmon (Oncorhynchus masou) inferred from mitochondrial and microsatellite DNA variation. Fish Genet Breed Sci 39:75–85

    Google Scholar 

Download references

Acknowledgments

This study was supported in part by Grants-in-Aid from the Fisheries Agency of Japan, the Northern Advancement Center for Science and Technology, and the 21st COE program (K-2) ‘Marine Bio-Manipulation Frontier for Food Production’ at Hokkaido University, sponsored by the Ministry of Education, Culture, Sports, Science and Technology, Japan.

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Correspondence to Syuiti Abe.

Appendix. Allelic frequencies of the six microsatellite DNA loci in wild and hatchery collections. Population codes are listed in Table 1

Appendix. Allelic frequencies of the six microsatellite DNA loci in wild and hatchery collections. Population codes are listed in Table 1

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Yu, JN., Azuma, N. & Abe, S. Genetic differentiation between collections of hatchery and wild masu salmon (Oncorhynchus masou) inferred from mitochondrial and microsatellite DNA analyses. Environ Biol Fish 94, 259–271 (2012). https://doi.org/10.1007/s10641-011-9869-0

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