Vis enkel innførsel

dc.contributor.authorDanielsen, Espen
dc.date.accessioned2018-09-17T07:41:06Z
dc.date.available2018-09-17T07:41:06Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/11250/2562851
dc.descriptionMaster's thesis Aquatic Ecology BIO500 - University of Agder 2018nb_NO
dc.description.abstractA large body of studies on brown trout genetics currently exists. However, fewer of these studies have been conducted on anadromous brown trout (sea trout) and have been limited to only a few genetic markers like allozymes, mtDNA or microsatellites. Here we analyzed population structure and connectivity in sea trout applying a modern genomic approach, analyzing 503 single nucleotide polymorphic variants (SNP’s) by next generation sequencing. We studied four streams along the Skagerrak coast and found an overall significant population structure (FST = 0.0161; P<0.01) which further seemed to constitute of three genetically distinct sea trout populations which may constitute separate management units. Pair-wise multi locus FST estimates increased with geographical distance, revealed a weak non-significant trend of isolation by distance (Mantel test: r = 0.4823 ,P = 0.1978). The sea trout populations along this coastal stretch showed some variation in genetic diversity, but did not deviate from Hardy-Weinberg equilibrium. One population, Mørfjærbekken, displayed differences in some phenotypic traits i.e., length and k-factor, which may possibly be a result of different selection pressure than the other streams. Finally we discuss our findings in relation to conservation and management implications for sea trout.nb_NO
dc.language.isoengnb_NO
dc.publisherUniversitetet i Agder ; University of Agdernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectBIO500nb_NO
dc.titleGenomic analysis of anadromous brown trout (Salmo trutta) reveals new insights into connectivity patterns and population divergencenb_NO
dc.typeMaster thesisnb_NO
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474nb_NO
dc.source.pagenumber46 p.nb_NO


Tilhørende fil(er)

Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal