Geneland: a computer package for landscape genetics

By Gilles Guillot, F. Mortier, Arnaud Estoup. 2005

1,151 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/38cee529dece2c286dfce05017fa8c54ea6fdb47

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In Genetics

Citations in the corpus

Using population genetic analyses to understand seed dispersal patterns (2011, background): “Most studies document seed movement patterns in one or a few populations within a single landscape and a single reproductive event (but see Jones et al., 2005; Guillot et al., 2005).”
Genetic differentiation and secondary contact zone in the seagrass Cymodocea nodosa across the Mediterranean–Atlantic transition region (2008, methodology): “In order to detect the location of a putative genetic discontinuity region between Atlantic and Mediterranean populations, we used a Bayesian method implemented in the geneland software (Guillot et al., 2005).”
Ocean's eleven: a critical evaluation of the role of population, evolutionary and molecular genetics in the management of wild fisheries (2015, background): “Such analysis both identifies the number of discrete genetic stocks and maps their distributions (Pritchard et al. 2000; Guillot et al. 2005), so works best when individuals are sampled evenly throughout the range of the target species.”
How to fail at species delimitation (2013, methodology): “Their model is available as an extension of the R GENELAND package (Guillot et al. 2005) (http://www2.imm.dtu.dk/~gigu/Geneland/).”
Modeling connectivity of black bears in a desert sky island archipelago (2011, methodology): “The assignment of individuals to subpopulations was performed in a separate run as suggested by Guillot et al. (2005a).”
The program structure does not reliably recover the correct population structure when sampling is uneven: subsampling and new estimators alleviate the problem (2016, methodology): “Several methods have been developed to group individual genotypes into clusters (Pritchard et al. 2000; Dawson & Belkhir 2001; Guillot et al. 2005b; Chen et al. 2007; Corander et al. 2008).”
Using spatial Bayesian methods to determine the genetic structure of a continuously distributed population: clusters or isolation by distance? (2009, methodology): “Recent advances explicitly address the spatial nature of the problem of locating genetic discontinuities by including the geographical coordinates of individuals in their prior distributions (e.g., Guillot et al. 2005; Corander, Sirén & Arjas 2008).”
Why sampling scheme matters: the effect of sampling scheme on landscape genetic results (2009, background): “…et al. 2003, 2007), although other approaches and programs exist (e.g., PARTITION, Dawson and Belkhir 2001; BAPS2, Corander et al. 2004; GENELAND, Guillot et al. 2005a, b; 2D LSA in GEN- ALEX, Double et al. 2005, Peakall and Smouse 2006; HMRF models, François et al 2006; TESS Chen et al. 2007).”
Genetic diversity and landscape genetic structure of otter (Lutra lutra) populations in Europe (2010, methodology): “The geographic structure of the subpopulations was further investigated through landscape genetic analyses (with the software GENELAND 3.1.5; http://www2.imm.dtu. dk/*gigu/Geneland/#; Guillot et al. 2005).”
Molecular ecology of marine turtles: New approaches and future directions (2008, neutral): “, 2004), GENELAND (Guillot et al., 2005) and STRUCTURE2.”
Reconstructing routes of invasion using genetic data: why, how and so what? (2010, methodology): “Standard methods of population structure analysis, such as Fst-based analysis and ⁄ or STRUCTURE (Pritchard et al. 2000), BAPS (Corander et al. 2003) or GENELAND (Guillot et al. 2005) analyses, may be used for this purpose.”
Evidence from genetic and Lagrangian drifter data for transatlantic transport of small juvenile green turtles (2010, methodology): “…used by Geneland means that the georeferenced haplotypes are assigned to the inferred clusters without any prior knowledge of the population units and limits (Guillot et al., 2005), which is different from the more traditional method of using predefined populations (Waples & Gaggiotti, 2006).”
Seascape genetics and the spatial ecology of marine populations (2008, methodology): “2000), GENELAND (Guillot et al. 2005), BAYESASS+ (Wilson and Rannala 2003) and BIMr (Faubet and Gaggiotti 2008); for a full review of software see Excoffier and Heckel (2006).”