dc.contributor.author | Danielsen, Espen | |
dc.date.accessioned | 2018-09-17T07:41:06Z | |
dc.date.available | 2018-09-17T07:41:06Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/11250/2562851 | |
dc.description | Master's thesis Aquatic Ecology BIO500 - University of Agder 2018 | nb_NO |
dc.description.abstract | A 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.iso | eng | nb_NO |
dc.publisher | Universitetet i Agder ; University of Agder | nb_NO |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/deed.no | * |
dc.subject | BIO500 | nb_NO |
dc.title | Genomic analysis of anadromous brown trout (Salmo trutta) reveals new insights into connectivity patterns and population divergence | nb_NO |
dc.type | Master thesis | nb_NO |
dc.subject.nsi | VDP::Matematikk og Naturvitenskap: 400::Basale biofag: 470::Genetikk og genomikk: 474 | nb_NO |
dc.source.pagenumber | 46 p. | nb_NO |