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Applying emerging genetic methods to wild model systems

Blåhed, Ida-Maria (2019). Applying emerging genetic methods to wild model systems. Diss. (sammanfattning/summary) Umeå : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae, 1652-6880 ; 2019:40
ISBN 978-91-7760-398-6
eISBN 978-91-7760-399-3
[Doctoral thesis]

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Genetic material is an invaluable source of information for assessments of wild populations. By using information derived from genetic markers, individuals can be identified and tracked over time, enabling studies of a wide range of behavioral, ecological, and evolutionary processes. At the population level, estimations of the distribution of genetic variation increase our knowledge about a wide range of population processes and can reveal barriers to gene flow, information that is important to integrate in both conservation- and management plans.

This thesis presents new methods for individual- and population based assessments of deer (Cervidae), with a focus on moose (Alces alces). Molecular markers, SNPs (single nucleotide polymorphisms), were developed using two different approaches. First, crossspecies amplification was explored between cattle and the five deer species occurring in Sweden; moose, roe deer (Capreolus capreolus), red deer (Cervus elaphus), fallow deer (Dama dama) and reindeer (Rangifer tarandus). Next, a reduced representation sequencing approach was chosen for de-novo SNP discovery in moose, with the main purpose of finding markers suitable for individual identification. As a result, a moose SNP panel including 86 autosomal, five sex-specific- and five species diagnostic SNPs was developed. Both approaches resulted in SNPs useful for both individual- and population level applications. SNP genotyping was subsequently applied for assessments of the Swedish moose population by conducting a non-invasive capture-mark-recapture study and to explore spatio-temporal genetic patterns in a population of seasonally migratory moose.

These studies show that non-invasive SNP genotyping is useful for estimations of population size and sex-ratio, while also producing information about population structure and genetic variation. Furthermore, by combining genetic- and movement data over time, temporal spatial genetic structures were detected. These temporal structures elucidate different components of moose behavior, such as fidelity to seasonal ranges, which to some extent is maintained between generations. Consequently, the genetic information retrieved in this thesis clearly illustrate the potential of SNP genotyping for assessments of population- and behavioral processes in deer, including non-invasive monitoring.

Authors/Creators:Blåhed, Ida-Maria
Title:Applying emerging genetic methods to wild model systems
Series Name/Journal:Acta Universitatis Agriculturae Sueciae
Year of publishing :2019
Number of Pages:52
IBlåhed, I-M.*, Jansson, J. and Spong G. Identification of informative SNPs in five deer species by cross-species amplification (manuscript)
IIBlåhed, I-M.*, Königsson, H., Ericsson, G. and Spong, G. (2018). Discovery of SNPs for individual identification by reduced representation sequencing of moose (Alces alces). Plos One 13 doi:10.1371/ journal. pone.0197364
IIIBlåhed, I-M.*, Ericsson, G. and Spong, G. Non-invasive population assessment of moose (Alces alces) by SNP genotyping of fecal pellets (under revision)
IVBlåhed, I-M.*, Singh, N. J., Ericsson, G., Norman, A. J. and Spong, G. Spatio-temporal genetic patterns in a large migratory mammal (manuscript)
Place of Publication:Umeå
Publisher:Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences
ISBN for printed version:978-91-7760-398-6
ISBN for electronic version:978-91-7760-399-3
Publication Type:Doctoral thesis
Article category:Other scientific
Full Text Status:Public
Agris subject categories.:L Animal production > L10 Animal genetics and breeding
L Animal production > L20 Animal ecology
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Genetics (medical genetics to be 30107 and agricultural genetics to be 40402)
(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
Keywords:wildlife genetics, genomics, SNP, genotyping, deer, Alces alces, crossspecies amplification, population assessment, non-invasive, population structure, capture-mark-recapture
Permanent URL:
ID Code:16173
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Wildlife, Fish and Environmental Studies
Deposited By: SLUpub Connector
Deposited On:24 May 2019 13:39
Metadata Last Modified:10 Jun 2019 19:27

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