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Genetic monitoring reveals temporal stability over 30 years in a small, lake-resident brown trout population
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
2012 (English)In: Heredity, ISSN 0018-067X, E-ISSN 1365-2540, Vol. 109, no 4, 246-253 p.Article in journal (Refereed) Published
Abstract [en]

Knowledge of the degree of temporal stability of population genetic structure and composition is important for understanding microevolutionary processes and addressing issues of human impact of natural populations. We know little about how representative single samples in time are to reflect population genetic constitution, and we explore the temporal genetic variability patterns over a 30-year period of annual sampling of a lake-resident brown trout (Salmo trutta) population, covering 37 consecutive cohorts and five generations. Levels of variation remain largely stable over this period, with no indication of substructuring within the lake. We detect genetic drift, however, and the genetically effective population size (Ne) was assessed from allele-frequency shifts between consecutive cohorts using an unbiased estimator that accounts for the effect of overlapping generation. The overall mean Ne is estimated as 74. We find indications that Ne varies over time, but there is no obvious temporal trend. We also estimated Ne using a one-sample approach based on linkage disequilibrium (LD) that does not account for the effect of overlapping generations. Combining one-sample estimates for all years gives an Ne estimate of 76. This similarity between estimates may be coincidental or reflecting a general robustness of the LD approach to violations of the discrete generations assumption. In contrast to the observed genetic stability, body size and catch per effort have increased over the study period. Estimates of annual effective number of breeders (Nb) correlated with catch per effort, suggesting that genetic monitoring can be used for detecting fluctuations in abundance.

Place, publisher, year, edition, pages
2012. Vol. 109, no 4, 246-253 p.
Keyword [en]
temporal genetic variation, effective population size, spatio-temporal structure, temporal method, linkage disequilibrium, one-sample approach
National Category
Zoology
Research subject
Population Genetics
Identifiers
URN: urn:nbn:se:su:diva-62795DOI: 10.1038/hdy.2012.36ISI: 000309109700007OAI: oai:DiVA.org:su-62795DiVA: diva2:444780
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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