2008
DOI: 10.1186/1471-2105-9-323
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LOSITAN: A workbench to detect molecular adaptation based on a F st -outlier method

Abstract: Background: Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to use, leaving many nontrivial, error-prone tasks to the user.

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Cited by 1,022 publications
(938 citation statements)
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References 12 publications
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“…We tested for evidence of selection using a coalescent‐based approach (Beaumont & Nichols, 1996) implemented in LOSITAN (Antao, Lopes, Lopes, Beja‐Pereira, & Luikart, 2008), a software platform used to detect signatures of selection based on the distribution of F ST as a function of heterozygosity. We calculated the “neutral” mean F ST , where we first ran a simulation to remove potentially selected loci prior to computing the initial mean F ST , upon which putative adaptive loci were identified.…”
Section: Methodsmentioning
confidence: 99%
“…We tested for evidence of selection using a coalescent‐based approach (Beaumont & Nichols, 1996) implemented in LOSITAN (Antao, Lopes, Lopes, Beja‐Pereira, & Luikart, 2008), a software platform used to detect signatures of selection based on the distribution of F ST as a function of heterozygosity. We calculated the “neutral” mean F ST , where we first ran a simulation to remove potentially selected loci prior to computing the initial mean F ST , upon which putative adaptive loci were identified.…”
Section: Methodsmentioning
confidence: 99%
“…BAYESCAN outcomes were plotted using the R functions provided by the program. The FDIST F ST method implemented in the LOSITAN software (Antao, Lopes, Lopes, Beja‐Pereira, & Luikart, 2008) was used to investigate loss of heterozygosity (expected after selective sweeps) regarding F ST . For this program, a total of 100,000 simulations, a population size of 50, and the infinite allele mutation model were used.…”
Section: Methodsmentioning
confidence: 99%
“…Outlier loci were assessed based on the relationship between F ST and expected heterozygosity ( H E ) according to an island model with neutral markers (Beaumont & Nichols, 1996), using the program LOSITAN (Antao, Lopes, Lopes, Beja‐Pereira, & Luikart, 2008). This method assumes that loci with F ST excessively high or low, compared to the expectations under neutrality conditions, are candidates to be under selection (Antao et al., 2008; Schoville et al., 2012).…”
Section: Methodsmentioning
confidence: 99%
“…This method assumes that loci with F ST excessively high or low, compared to the expectations under neutrality conditions, are candidates to be under selection (Antao et al., 2008; Schoville et al., 2012). LOSITAN was run in pairs, considering three scenarios: Semideciduous Forest versus Rainforest, Semideciduous Forest versus Restinga Forest, and Rainforest versus Restinga Forest, using the parameter setting of 100,000 simulations, confident interval of 0.95, and false discovery rate (FDR) of 0.1.…”
Section: Methodsmentioning
confidence: 99%