Hierarchical genetic structure of native masu salmon populations in Hokkaido, Japan View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-05

AUTHORS

Shigeru Kitanishi, Toshiaki Yamamoto, Hirokazu Urabe, Kazutaka Shimoda

ABSTRACT

Identification of the spatial extent of genetic structuring that may be influenced by evolutionary, ecological and historical factors is critical for effective conservation or management strategies. Masu salmon Oncorhynchus masou is commonly distributed in Far East, however, many local populations have been under threats of decline due to habitat destruction, overexploitation, and genetic introgression. To reveal the spatial genetic structure of native masu salmon populations in Hokkaido, masu salmon samples were collected from 16 rivers in which there was no official record of artificial releases of any masu salmon stock and were analyzed using 15 microsatellite loci. A Bayesian assignment test revealed that masu salmon populations were divided into two genetically distinct groups: the northeastern and southwestern groups. For within-group genetic structure, all populations, except for geographically proximate populations, were significantly different from each other. AMOVA revealed that genetic variation at among-group level based on groups identified assignment test was greater than that of groups based on geographic locations. There was no significant IBD for the 16 populations. However, the Mantel test revealed significant IBD for the northeastern group, but did not for the southwestern group. This study suggested that native masu salmon populations in Hokkaido exhibit a hierarchical genetic structure that is largely a result of their precise homing behavior. The results of this study also highlight the importance of defining populations by using genetic data rather than by using predefined populations based on geographic locations for the correct determination of genetic structure. More... »

PAGES

699-710

References to SciGraph publications

  • 1996-05. High level of genetic differentiation for allelic richness among populations of the argan tree [Argania spinosa (L.) Skeels] endemic to Morocco in THEORETICAL AND APPLIED GENETICS
  • 2012-05. An overview of salmon enhancement and the need to manage and monitor natural spawning in Hokkaido, Japan in ENVIRONMENTAL BIOLOGY OF FISHES
  • 2003-02. Dominance and predator avoidance in domesticated and wild masu salmon Oncorhynchus masou in FISHERIES SCIENCE
  • 2012-05. Genetic differentiation between collections of hatchery and wild masu salmon (Oncorhynchus masou) inferred from mitochondrial and microsatellite DNA analyses in ENVIRONMENTAL BIOLOGY OF FISHES
  • 2004-08. Genetic Differentiation of White-Spotted Charr (Salvelinus leucomaenis) Populations After Habitat Fragmentation: Spatial–Temporal Changes in Gene Frequencies in CONSERVATION GENETICS
  • 2005-09. Does time since colonization influence isolation by distance? A meta-analysis in CONSERVATION GENETICS
  • 2012-05. Erratum to: An overview of salmon enhancement and the need to manage and monitor natural spawning in Hokkaido, Japan in ENVIRONMENTAL BIOLOGY OF FISHES
  • 2007-09. The genetic structure of endangered indigenous populations of the amago salmon, Oncorhynchusmasouishikawae, in Japan in CONSERVATION GENETICS
  • 2003-01. Phylogeographic Analysis of Chum Salmon Oncorhynchus keta Walbaum in Asian Populations Based on mtDNA Variation in RUSSIAN JOURNAL OF GENETICS
  • 2017-01. Dispersal patterns of anadromous and freshwater resident masu salmon at different spatial scales in mid-western Hokkaido, Japan in ICHTHYOLOGICAL RESEARCH
  • 2005-12. Isolation by distance, web service in BMC GENETICS
  • 2012-07. Faunal structure of Japanese freshwater fishes and its artificial disturbance in ENVIRONMENTAL BIOLOGY OF FISHES
  • 2012-06. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method in CONSERVATION GENETICS RESOURCES
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    URI

    http://scigraph.springernature.com/pub.10.1007/s10641-018-0730-6

    DOI

    http://dx.doi.org/10.1007/s10641-018-0730-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1100483742


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