1998
DOI: 10.1046/j.1365-294x.1998.00362.x
|View full text |Cite
|
Sign up to set email alerts
|

Comparative analysis of microsatellite and allozyme markers: a case study investigating microgeographic differentiation in brown trout (Salmo trutta)

Abstract: A comparative study between microsatellite and allozyme markers was conducted on natural populations of resident brown trout (Salmo trutta) sampled over a reduced geographical scale and on hatchery strains. The higher level of polymorphism observed at microsatellite loci resulted in higher power of statistical tests for differentiation among population samples and for genotypic linkage disequilibrium. Genetic distances of Cavalli-Sforza and Edwards were on average two times larger for microsatellites than for … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

24
236
9
3

Year Published

2000
2000
2009
2009

Publication Types

Select...
5
3

Relationship

1
7

Authors

Journals

citations
Cited by 440 publications
(272 citation statements)
references
References 33 publications
24
236
9
3
Order By: Relevance
“…Finally, allozymes also show less geographically concordant relationships among samples: unrooted NJ trees based on D and D chord gave different topologies [(((GalW,FFoz),RMar),(SBar,VGel))] and less bootstrap support for nodes (72-89%) than NJ trees obtained using microsatellites. These results may indicate that, as found previously in studies of brown trout (Estoup et al, 1998) and squid (Shaw et al, 1999a), microsatellites have greater power than allozymes for resolving genetic relationships among closely related sub-populations of aquatic species with a facility for gene flow on a small geographical scale, and could be more suitable for resolving historical relationships at the intraspecific level.…”
Section: Genetic Relationships Among Samplessupporting
confidence: 68%
See 2 more Smart Citations
“…Finally, allozymes also show less geographically concordant relationships among samples: unrooted NJ trees based on D and D chord gave different topologies [(((GalW,FFoz),RMar),(SBar,VGel))] and less bootstrap support for nodes (72-89%) than NJ trees obtained using microsatellites. These results may indicate that, as found previously in studies of brown trout (Estoup et al, 1998) and squid (Shaw et al, 1999a), microsatellites have greater power than allozymes for resolving genetic relationships among closely related sub-populations of aquatic species with a facility for gene flow on a small geographical scale, and could be more suitable for resolving historical relationships at the intraspecific level.…”
Section: Genetic Relationships Among Samplessupporting
confidence: 68%
“…As loci Sof3 and Sof5 both display allelic arrays that suggest a non-SMM (Shaw and Pérez-Losada, 1999), non-SMMbased methods (F ST , D chord and Nei's D) were used preferentially in the following analyses. Nevertheless, because the performance of statistics based on one or another mutation model is still a matter of argument (Estoup et al, 1995;Takezaki and Nei, 1996;Goodman, 1997;Estoup et al, 1998) and for comparative purposes, SMM statistics were also included [R ST and (␦ ) 2 ]. F ST was estimated by ˆ ( Weir and Cockerham, 1984) using f-stat, and unbiased R ST using the rst-calc programme (Goodman, 1997), which adjusts for differences in sample size and allele size variances among loci.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…1993), Ssa 85 , Ssa 197 (O'Reilly et al . 1996, SsOSL 417 (Slettan, Olsaker & Lie 1995), SsOSL 438 (Slettan, Olsaker & Lie 1996) and T3-13 (Estoup et al . 1998).…”
Section:   mentioning
confidence: 99%
“…In this study, we sequenced the complete control region of the mitochondrial DNA, a region that has the highest rate of evolutionary change of any mtDNA region (Aquadro and Greenberg 1983;Parsons et al 1997). As nuclear markers, we used four polymorphic microsatellite loci, which are believed to be neutral and have been shown to be more variable compared to e.g., allozyme data (Shaw et al 1999;Estoup et al 1998;Perez-Losada et al 2002).…”
Section: Introductionmentioning
confidence: 99%