2007
DOI: 10.1111/j.1471-8286.2007.01697.x
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A pooling approach to detect signatures of selective sweeps in genome scans using microsatellites

Abstract: We have evaluated a pooling approach that can reduce the number of polymerase chain reactions in a screen for selective sweeps by more than an order of magnitude. We show that the complex peak pattern that results from pooling of all samples from a given population is a faithful reflection of the composite pattern of the individual alleles, although with an under‐representation of the larger alleles. Candidate loci for selective sweeps can be identified by visual inspection of the pool patterns. We have also i… Show more

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Cited by 14 publications
(21 citation statements)
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“…To reduce the genotyping effort, we employed a two-step procedure. In the first step, we used pools of DNA from 40 animals of each population and compared variability patterns for each locus, which allows us to retrieve the subset of loci with signs of population-specific loss of polymorphism (Thomas et al 2007). In the second step we typed these loci individually for $40 animals from the respective population pairs.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To reduce the genotyping effort, we employed a two-step procedure. In the first step, we used pools of DNA from 40 animals of each population and compared variability patterns for each locus, which allows us to retrieve the subset of loci with signs of population-specific loss of polymorphism (Thomas et al 2007). In the second step we typed these loci individually for $40 animals from the respective population pairs.…”
Section: Resultsmentioning
confidence: 99%
“…Genome screen: A total of 960 microsatellite loci were assessed, using the pooling approach described in Thomas et al (2007). The resulting patterns were visually inspected via pairwise comparisons between the populations within the two subspecies.…”
Section: Methodsmentioning
confidence: 99%
“…and 76 (34.9%) had Gene Ontology (GO) annotations which covered a wide range of functional genes based on GO terms (Appendix S5, Supporting information). By checking pooled samples as recommended by Thomas et al 21,. we discarded loci that were not likely to be under selection.…”
Section: Resultsmentioning
confidence: 99%
“…Populations were represented by five unique pool samples where DNA samples were normalized to 15 ng/μL from all individuals in a given population. Subsequently, we genotyped 218 microsatellite loci using the five population pools and an individual was randomly selected for comparison as each locus showed characteristic slippage patterns21. The fragment patterns were visually inspected by pairwise comparison between populations as recommended by Thomas et al 21.…”
Section: Methodsmentioning
confidence: 99%
“…; Thomas et al . ; Teschke et al . ) and constitute DNA pools representing each of the three geographic regions (‘Contact’, ‘Close allopatry’ and ‘Distant allopatry’) by pooling DNA extracts of 32 individuals per geographic region (Table S1, Supporting infromation).…”
Section: Methodsmentioning
confidence: 99%