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Census (NC) and genetically effective (Ne) population size in a lake-resident population of brown trout Salmo trutta
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.
Stockholm University, Faculty of Science, Department of Zoology, Population Genetics.ORCID iD: 0000-0001-9286-3361
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2011 (English)In: Journal of Fish Biology, ISSN 0022-1112, E-ISSN 1095-8649, Vol. 79, no 7, 2074-2082 p.Article in journal (Refereed) Published
Abstract [en]

Census (NC) and effective population size (Ne) were estimated for a lake-resident population of brown trout Salmo trutta as 576 and 63, respectively. The point estimate of the ratio of effective to census population size (Ne:NC) for this population is 0·11 with a range of 0·06–0·26, suggesting that Ne:NC ratio for lake-resident populations agree more with estimates for fishes with anadromous life histories than the small ratios observed in many marine fishes

Place, publisher, year, edition, pages
2011. Vol. 79, no 7, 2074-2082 p.
Keyword [en]
abundance, conservation genetics, fishery management, genetic monitoring, mark- recapture
National Category
Zoology
Research subject
Population Genetics
Identifiers
URN: urn:nbn:se:su:diva-62794DOI: 10.1111/j.1095-8649.2011.03124.xISI: 000298014800027OAI: oai:DiVA.org:su-62794DiVA: diva2:444775
Available from: 2011-09-30 Created: 2011-09-30 Last updated: 2017-12-08Bibliographically 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

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