Protein and microsatellite single locus variability in Salmo salar L. (Atlantic salmon)

Sánchez, José A.; Clabby, Catherine; Ramos, De; Blanco, Gloria; Flavin, Fiona; Vázquez, Esther; Powell, Richard

doi:10.1038/hdy.1996.162

Cited by 161 publications

(113 citation statements)

References 40 publications

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“…This result is in accordance with the common observation of high levels of variation detected in plants using microsatellite markers. Surveys on genetic variation in the natural populations of many other species have demonstrated that microsatellite loci are superior to allozymes when investigating population genetic structures [43][44][45][46].…”

Section: Discussionmentioning

confidence: 99%

Diversity of microsatellite markers in the populations of Picea asperata originating from the mountains of China

et al. 2005

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Section: Discussionmentioning

confidence: 99%

Diversity of microsatellite markers in the populations of Picea asperata originating from the mountains of China

et al. 2005

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“…A total of 18 loci were amplified in 3 multiplex reactions (full genotyping conditions available from authors upon request): SSsp3016 (GenBank no. AY372820), SSsp2210, SSspG7, SSsp2201, SSsp1605, SSsp2216 (Paterson et al 2004), Ssa197, Ssa171, Ssa202 (O'Reilly et al 1996), SsaD157, SsaD486, SsaD144 (King et al 2005), Ssa289, Ssa14 (McConnell et al 1995), SsaF43 (Sánchez et al 1996), SsaOsl85 (Slettan et al 1995), MHC I and MHC II . PCR products were analysed on an ABI 3730 Genetic Analyser and sized by a 500LIZ TM size standard.…”

Section: Genotypingmentioning

confidence: 99%

Siblingship tests connect two seemingly independent farmed Atlantic salmon escape events

Quintela¹,

Wennevik²,

Sørvik³

et al. 2016

Aquacult. Environ. Interact.

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Aquaculture escapees represent a threat to the genetic integrity of native populations, may spread infectious agents and display ecological interactions with wild fish. DNA-based identification methods are well established for tracing Atlantic salmon escapees back to their farms of origin. However, traditional genetic assignment approaches are not always able to single out the farm of origin in cases where several potential farm sources rear fish from the same genetic line, and display strongly overlapping allele frequencies. We investigated whether an alternative statistical approach, which involves ad hoc identification of sibling relationships, circumvents the challenge of overlapping allele frequencies. We analysed the following samples collected in 2013: (1) 221 farmed escapees captured in several rivers in the Ryfylke region of Norway, (2) 139 farmed escapees captured some 150 km away in an upstream fish migration trap in the River Etne, and (3) 779 farmed salmon sampled from 17 cages on 10 farms in Ryfylke. Siblingship tests increased the precision of identification of escapees back to their farm of origin over genetic assignment and population statistic approaches. Together with other non-genetic data, siblingship tests were also able to connect 2 seemingly independent escape events, demonstrating that some of the salmon escaping from 1 or 2 farms in Ryfylke took approximately 1 mo to migrate 150 km northwards before entering the River Etne. Finally, we demonstrated that the genetic background of the escapees captured in the River Etne during the course of an entire season was represented by the 3 major breeding programs in Norway.

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“…Genomic DNA was purified from skeletal muscle tissue using Chelex procedures (Estoup et al, 1996). Eight microsatellite loci were analysed by specific PCR: SsaF43, SsaD30, Ssa20.19, Ssa13.37 (Sánchez et al, 1996), SSOSL311, SSOSL417 (Slettan et al, 1995) and Str543, Str15 (Presa and Guyomard, 1996). Aliquots of amplification products were resolved on 6% denaturing polyacrylamide-sequencing gels.…”

Section: Genetic Analysesmentioning

confidence: 99%

Correlations between fitness and heterozygosity at allozyme and microsatellite loci in the Atlantic salmon, Salmo salar L.

et al. 2004

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The relationship between heterozygosity at genetic markers (six allozyme and eight microsatellite loci), and fluctuating asymmetry (FA), length and weight was investigated in two samples of Atlantic salmon (Salmo salar L.) with different timings of first active feeding (early (EA) and late (LA) salmon). This trait had previously been related to fitness. EA fish show smaller values of FA, are longer, heavier and are more heterozygous at allozyme loci than are conspecific LA fish. Also within both samples, heterozygosity at allozyme loci was inversely related to FA and was positively related to weight and length. However, no significant differences in microsatellite diversity (heterozygosity and mean d 2 measurements) were observed between samples (EA vs LA). Furthermore, no association was observed between the variability at microsatellite loci and FA, weight or length within each sample. These results suggest that allozyme loci, in themselves, influence fitness components, rather than associations arising from associative overdominance.

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Protein and microsatellite single locus variability in Salmo salar L. (Atlantic salmon)

Cited by 161 publications

References 40 publications

Diversity of microsatellite markers in the populations of Picea asperata originating from the mountains of China

Diversity of microsatellite markers in the populations of Picea asperata originating from the mountains of China

Siblingship tests connect two seemingly independent farmed Atlantic salmon escape events

Correlations between fitness and heterozygosity at allozyme and microsatellite loci in the Atlantic salmon, Salmo salar L.

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