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
Spatial genetic structure of northern pike (Esox lucius) in the Baltic Sea
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.ORCID iD: 0000-0001-9286-3361
University of Minnesota.
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.
Show others and affiliations
2005 (English)In: Molecular Ecology, ISSN 0962-1083, E-ISSN 1365-294X, Vol. 14, no 7, 1955-1964 p.Article in journal (Refereed) Published
Abstract [en]

The genetic relationships among 337 northern pike (Esox lucius) collected from the coastal zone of the central Baltic region and the Finnish islands of Åland were analysed using five microsatellite loci. Spatial structure was delineated using both traditional F-statistics and individually based approaches including spatial autocorrelation analysis. Our results indicate that the observed genotypic distribution is incompatible with that of a single, panmictic population. Isolation by distance appears important for shaping the genetic structure of pike in this region resulting in a largely continuous genetic change over the study area. Spatial autocorrelation analysis (Moran’s I) of individual pairwise genotypic data show significant positive genetic correlation among pike collected within geographical distances of less than c. 100–150 km (genetic patch size). We suggest that the genetic patch size may be used as a preliminary basis for identifying management units for pike in the Baltic Sea.

Place, publisher, year, edition, pages
2005. Vol. 14, no 7, 1955-1964 p.
Keyword [en]
coastal zone, conservation management, correlogram, Moran’s I, population structure, spatial autocorrelation
National Category
Biological Sciences
Research subject
Population Genetics
Identifiers
URN: urn:nbn:se:su:diva-42926DOI: 10.1111/j.1365-294X.2005.02570.xOAI: oai:DiVA.org:su-42926DiVA: diva2:352302
Available from: 2010-09-20 Created: 2010-09-20 Last updated: 2017-12-12Bibliographically approved
In thesis
1. Assessing and monitoring genetic patterns for conservation purposes with special emphasis on Scandinavia
Open this publication in new window or tab >>Assessing and monitoring genetic patterns for conservation purposes with special emphasis on Scandinavia
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Genetic variation is essential for biological evolution, for maintaining viability of populations, and to ensure ecosystem resilience. Increased human exploitation and environmental change result in rapid loss of biological variation, including genetic diversity. Measures to halt this trend require that biological diversity is assessed and monitored. Assessment of biodiversity includes identifying patterns of distribution of genetic variation within individual species.

This thesis focuses on spatial genetic structure and assessment of units for conservation in continuous environments without apparent migration barriers. Empirical data refer to Scandinavia and the model species are northern pike (Esox lucius), brown trout (Salmo trutta), and harbour porpoise (Phocoena phocoena). Questions regarding monitoring genetic diversity and releases of alien populations are also addressed.

 The spatial genetic structure of the northern pike in the Baltic Sea is characterized by isolation by distance and continuous genetic change. Positive genetic correlation was found among pike within geographical distances of less than 150 km. This distance may be used to suggest management units in this area. For the brown trout, genetic monitoring identified two sympatric populations within a small mountain lake system. The situation is characterized by a clear genetic but no apparent phenotypic dichotomy. Scientific support for a genetically distinct Baltic harbour porpoise population is limited, and the spatial genetic structure of the harbour porpoise in Swedish waters needs to be clarified.

Data for launching conservation genetic monitoring programs is available for only a few Swedish species. Millions of forest trees, fish, and birds are released annually in Sweden and the documentation on these releases is poor. To meet responsibilities of safeguarding biodiversity and surveying biological effects of releases, there is an urgent need for studies aimed at evaluating genetic diversity.

Place, publisher, year, edition, pages
Stockholm: Department of Zoology, Stockholm University, 2010. 61 p.
Keyword
biological diversity, conservation genetics, management unit, spatial genetic structure, sympatric populations, genetic monitoring, release of alien populations, northern pike, brown trout, harbour porpoise
National Category
Biological Sciences
Research subject
Population Genetics
Identifiers
urn:nbn:se:su:diva-42942 (URN)978-91-7447-130-4 (ISBN)
Public defence
2010-11-12, De Geer-salen, Geovetenskapens hus, Svante Arrhenius väg 14, Stockholm, 10:00 (English)
Opponent
Supervisors
Note
At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 2: Manuscript. Available from: 2010-10-21 Created: 2010-09-20 Last updated: 2010-10-15Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Laikre, LindaPalmé, AnnaRyman, Nils
By organisation
Population Genetics
In the same journal
Molecular Ecology
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 382 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