Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Genetic structure and evidence of a local bottleneck in moose in Sweden
Stockholm University, Faculty of Science, Department of Zoology.
Stockholm University, Faculty of Science, Department of Zoology.ORCID iD: 0000-0001-9286-3361
Stockholm University, Faculty of Science, Department of Zoology.ORCID iD: 0000-0003-3342-8479
2008 (English)In: Journal of Wildlife Management, ISSN 0022-541X, E-ISSN 1937-2817, Vol. 72, no 2, 411-415 p.Article in journal (Refereed) Published
Abstract [en]

The moose (Alces alces) is the most intensely managed game species in Sweden. Despite the biological and socioeconomical importance of moose, little is known of its population genetic structure. We analyzed 132 individuals from 4 geographically separate regions in Sweden for genetic variability at 6 microsatellite loci. We found evidence of strong substructuring and restricted levels of gene flow in this potentially mobile mammal. FST values were around 10%, and assignment tests indicated 3 genetically distinct populations over the study area. Spatial autocorrelation analysis provided a genetic patch size of approximately 420 km, implying that moose less than this distance apart are genetically more similar than 2 random individuals. Allele and genotype frequency distributions suggested a recent bottleneck in southern Sweden. Results indicate that moose may be more genetically divergent than currently anticipated, and therefore, the strong hunting pressure that is maintained over all of Sweden may have considerable local effects on genetic diversity. Sustainable moose hunting requires identification of spatial genetic structure to ensure that separate, genetically distinct subpopulations are not overharvested.

Place, publisher, year, edition, pages
2008. Vol. 72, no 2, 411-415 p.
Keyword [en]
Alces alces, bottleneck, conservation genetics, game species, genetic variation, spatial autocorrelation, spatial genetic structure
National Category
Zoology
Research subject
Population Genetics
Identifiers
URN: urn:nbn:se:su:diva-12863DOI: 10.2193/2007-122ISI: 000253210200011OAI: oai:DiVA.org:su-12863DiVA: diva2:179383
Available from: 2008-02-15 Created: 2008-02-15 Last updated: 2017-12-13Bibliographically approved
In thesis
1. Monitoring gene level biodiversity - aspects and considerations in the context of conservation
Open this publication in new window or tab >>Monitoring gene level biodiversity - aspects and considerations in the context of conservation
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The objectives of this thesis relate to questions needed to be addressed in the context of genetic monitoring for implementing the Convention on Biological Diversity for the gene level. Genetic monitoring is quantifying temporal changes in population genetic metrics. Specific goals of this thesis include i) synthesizing existing information relevant to genetic monitoring of Swedish species, ii) providing a genetic baseline for the Swedish moose, iii) evaluating the relative performance of nuclear versus organelle genetic markers for detecting population divergence, iv) actually monitoring the genetic composition, structure, level of variation, and effective population size (Ne) and assessing the relation between Ne and the actual number of individuals for an unexploited brown trout population.

The concept of conservation genetic monitoring is defined and Swedish priority species for such monitoring are identified; they include highly exploited organisms such as moose, salmonid fishes, Norway spruce, Atlantic cod, and Atlantic herring. Results indicate that the Swedish moose might be more genetically divergent than previously anticipated and appears to be divided into at least three different subpopulations, representing a southern, a central, and a northern population.

The relative efficiency of nuclear and organelle markers depends on the relationship between the degree of genetic differentiation at the two types of markers. In turn, this relates to how far the divergence process has progressed.

For the monitored brown trout population no indication of systematic change of population structure or allele frequencies was observed over 30 years. Significant genetic drift was found, though, translating into an overall Ne-estimate of ~75. The actual number of adult fish (NC) was assessed as ~600, corresponding to an Ne/NC ratio of 0.13. In spite of the relatively small effective population size monitoring did not reveal loss of genetic variation.

Place, publisher, year, edition, pages
Stockholm: Department of Zoology, Stockholm University, 2011. 60 p.
Keyword
brown trout, conservation genetics, genetic drift, genetic monitoring, effective population size, moose, one-sample approach, spatial genetic structure, statistical power, temporal data
National Category
Zoology
Research subject
Population Genetics
Identifiers
urn:nbn:se:su:diva-62796 (URN)978-91-7447-353-7 (ISBN)
Public defence
2011-12-09, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 16 B, Stockholm, 10:00 (English)
Opponent
Supervisors
Available from: 2011-11-17 Created: 2011-09-30 Last updated: 2011-11-09Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Charlier, JohanLaikre, LindaRyman, Nils
By organisation
Department of Zoology
In the same journal
Journal of Wildlife Management
Zoology

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 312 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf