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1.
Mol Ecol Resour ; 16(3): 769-83, 2016 May.
Article in English | MEDLINE | ID: mdl-26490135

ABSTRACT

Salmonids are an important cultural and ecological resource exhibiting near worldwide distribution between their native and introduced range. Previous research has generated linkage maps and genomic resources for several species as well as genome assemblies for two species. We first leveraged improvements in mapping and genotyping methods to create a dense linkage map for Chinook salmon Oncorhynchus tshawytscha by assembling family data from different sources. We successfully mapped 14 620 SNP loci including 2336 paralogs in subtelomeric regions. This improved map was then used as a foundation to integrate genomic resources for gene annotation and population genomic analyses. We anchored a total of 286 scaffolds from the Atlantic salmon genome to the linkage map to provide a framework for the placement 11 728 Chinook salmon ESTs. Previously identified thermotolerance QTL were found to colocalize with several candidate genes including HSP70, a gene known to be involved in thermal response, as well as its inhibitor. Multiple regions of the genome with elevated divergence between populations were also identified, and annotation of ESTs in these regions identified candidate genes for fitness related traits such as stress response, growth and behaviour. Collectively, these results demonstrate the utility of combining genomic resources with linkage maps to enhance evolutionary inferences.


Subject(s)
Adaptation, Biological , Chromosome Mapping , Genetic Variation , Salmon/classification , Salmon/genetics , Animals , Expressed Sequence Tags , Genetics, Population , Molecular Sequence Annotation , Polymorphism, Single Nucleotide
2.
Mol Ecol ; 23(10): 2473-85, 2014 May.
Article in English | MEDLINE | ID: mdl-24762204

ABSTRACT

Studying the effect of similar environments on diverse genetic backgrounds has long been a goal of evolutionary biologists with studies typically relying on experimental approaches. Pink salmon, a highly abundant and widely ranging salmonid, provide a naturally occurring opportunity to study the effects of similar environments on divergent genetic backgrounds due to a strict two-year semelparous life history. The species is composed of two reproductively isolated lineages with overlapping ranges that share the same spawning and rearing environments in alternate years. We used restriction-site-associated DNA (RAD) sequencing to discover and genotype approximately 8000 SNP loci in three population pairs of even- and odd-year pink salmon along a latitudinal gradient in North America. We found greater differentiation within the odd-year than within the even-year lineage and greater differentiation in the southern pair from Puget Sound than in the northern Alaskan population pairs. We identified 15 SNPs reflecting signatures of parallel selection using both a differentiation-based method (BAYESCAN) and an environmental correlation method (BAYENV). These SNPs represent genomic regions that may be particularly informative in understanding adaptive evolution in pink salmon and exploring how differing genetic backgrounds within a species respond to selection from the same natural environment.


Subject(s)
Biological Evolution , Salmon/genetics , Selection, Genetic , Alaska , Animals , Bayes Theorem , Genetic Variation , Genotype , Models, Genetic , Polymorphism, Single Nucleotide , Sequence Analysis, DNA , Spatio-Temporal Analysis , Washington
3.
Heredity (Edinb) ; 109(2): 96-107, 2012 Aug.
Article in English | MEDLINE | ID: mdl-22549515

ABSTRACT

Geographic distributions of most temperate marine fishes are affected by postglacial recolonisation events, which have left complex genetic imprints on populations of marine species. This study investigated population structure and demographic history of European sprat (Sprattus sprattus L.) by combining inference from both mtDNA and microsatellite genetic markers throughout the species' distribution. We compared effects from genetic drift and mutation for both genetic markers in shaping genetic differentiation across four transition zones. Microsatellite markers revealed significant isolation by distance and a complex population structure across the species' distribution (overall θ(ST)=0.038, P<0.01). Across transition zones markers indicated larger effects of genetic drift over mutations in the northern distribution of sprat contrasting a stronger relative impact of mutation in the species' southern distribution in the Mediterranean region. These results were interpreted to reflect more recent divergence times between northern populations in accordance with previous findings. This study demonstrates the usefulness of comparing inference from different markers and estimators of divergence for phylogeographic and population genetic studies in species with weak genetic structure, as is the case in many marine species.


Subject(s)
Evolution, Molecular , Fishes/genetics , Genetic Drift , Genomic Imprinting , Animals , DNA, Mitochondrial/genetics , Europe , Fishes/classification , Genetic Variation , Microsatellite Repeats , Mutation , Phylogeny , Phylogeography
4.
Mol Ecol Resour ; 11 Suppl 1: 123-36, 2011 Mar.
Article in English | MEDLINE | ID: mdl-21429169

ABSTRACT

Recent improvements in the speed, cost and accuracy of next generation sequencing are revolutionizing the discovery of single nucleotide polymorphisms (SNPs). SNPs are increasingly being used as an addition to the molecular ecology toolkit in nonmodel organisms, but their efficient use remains challenging. Here, we discuss common issues when employing SNP markers, including the high numbers of markers typically employed, the effects of ascertainment bias and the inclusion of nonneutral loci in a marker panel. We provide a critique of considerations specifically associated with the application and population genetic analysis of SNPs in nonmodel taxa, focusing specifically on some of the most commonly applied methods.


Subject(s)
Genomics/methods , Polymorphism, Single Nucleotide , Animals , Genetic Markers , Genomics/trends , Sequence Analysis, DNA , Software
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