Detecting the number of clusters of individuals using the software structure: a simulation study
By G. Evanno, S. Regnaut, Jérôme Goudet. Molecular Ecology, 2005
21,072 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/9c4fb83f9c95c677ca5fa7e478de438b733a002d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- Samuel A. Cushman
- R. Francis
- M. D. Schwartz
- Sébastien J. Puechmaille
- Mattias Jakobsson
- Kevin S. McKelvey
- Noah A. Rosenberg
- P. Taberlet
Citations in the corpus
- Genetic diversity and structure of local apple cultivars from Northeastern Spain assessed by microsatellite markers (2012, methodology): “In order to assess the best K value supported by the data, we used theΔK method described by Evanno et al. (2005) through Structure harvester ver.”
- Global warming will affect the genetic diversity and uniqueness of Lycaena helle populations (2011, methodology): “3 Means of the estimated log probability of data (Pritchard et al., 2000; Evanno et al., 2005) of Structure simulations (10 independent runs for each K 5 1–10 of all Lycaena helle individuals) using (a) allozymes and (b) microsatellites.”
- Strong maternal fidelity and natal philopatry shape genetic structure in North Pacific humpback whales (2013, positive): “For K > 1, the ΔK method of Evanno et al. (2005) suggested K = 2 provided the best fit for the data.”
- Discriminant analysis of principal components: a new method for the analysis of genetically structured populations (2010, neutral): “[57] to assess the optimal number of clusters.”
- Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation (2006, methodology): “Evanno et al. (2005) investigated the impact of sample size (samples of individuals and samples of loci) on the performance of STRUCTURE and noticed a decrease in performance with smaller sample sizes; unfortunately, similar studies are not available for BAPS or PARTITION.”
- The genetic structure of the loggerhead sea turtle (Caretta caretta) in the Mediterranean as revealed by nuclear and mitochondrial DNA and its conservation implications (2007, methodology): “The search strategy described in Evanno et al. (2005) was followed and 20 runs were carried out for each value of K (from 1 to 15).”
- Hybridization between a native and introduced predator of Adelgidae: an unintended result of classical biological control. (2012, methodology): “This method cannot recognize whether K = 1 is optimal (Evanno et al., 2005), so it is also necessary to consider whether K = 1 results in the highest likelihood value, and to examine the resulting STRUCTURE plots to determine whether the patterns make biological sense (Pritchard, 2007).”
- The worldwide expansion of the Argentine ant (2010, methodology): “Then, we determined the appropriate value of K for each dataset using the DK method of Evanno et al. (2005).”
- Deep reefs are climatic refugia for genetic diversity of marine forests (2016, positive): “The number of clusters was estimated using the DeltaK criterion of Evanno et al. (2005).”
- Landscape genetics: combining landscape ecology and population genetics (2003, methodology): “2000) and the Evanno method (Evanno et al. 2005) in the web-based 149 version of STRUCTURE HARVESTER (Earl & vonHoldt 2012).”
- A consensus list of microsatellite markers for olive genotyping (2009, methodology): “The choice of the most likely number of clusters (K) was carried out by calculating an ad hoc statistic DK, based on the rate of change in the log probability of data between successive K values, as described by Evanno et al. (2005).”
- Aquatic insects in a sea of desert: population genetic structure is shaped by limited dispersal in a naturally fragmented landscape (2013, methodology): “We used these values to apply the ΔK method of Evanno et al. (2005) to identify the most likely number of genetic groups.”
- Association Mapping in Plant Genomes (2012, background): “Also, STRUCTURE has been found to overestimate the “true” number of subpopulations under particular scenarios (Evanno et al., 2005).”
- Genetic differentiation in the urban habitat: the great tits (Parus major) of the parks of Barcelona city (2009, methodology): “The modified way of analysing the output from STRUCTURE (Evanno et al., 2005) gave the highest likelihood for two groups. Using STRUCTURE, a two-group structure had a mean ln Pr(X/K) of –3959.6. Because the difference in likelihood between these two models is quite small, we follow the recommendatio”