Geographic Patterns of (Genetic, Morphologic, Linguistic) Variation: How Barriers Can Be Detected by Using Monmonier's Algorithm

By F. Manni, Etienne Guerard, E. Heyer. Human Biology: The Official Publication of the American Association of Anthropological Genetics, 2004

1,132 citations recorded by the source corpus.

Subfields: Genetics, Plant Science

View Paper: https://www.semanticscholar.org/paper/46d0e45e6a7c032a4b8b4ddd65fd4869aba33d15

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Citations in the corpus

Bayesian spatial modeling of genetic population structure (2008, background): “A modern, although not model-based approach to estimating geographical positions of genetic barriers in a population was introduced in Manni et al. (2004).”
Landscape genetics: where are we now? (2010, methodology): “The integrative approach of landscape genetics has addressed a broad array of questions, including: identifying specific barriers to dispersal (Manni et al. 2004; Latch et al. 2008; 2010 Blackwell Publishing Ltd Guillot et al. 2008), quantifying diversity (DominguezDominguez et al. 2007;…”
Phylogeography and climatic niche evolution in live oaks (Quercus series Virentes) from the tropics to the temperate zone (2011, methodology): “The geographic locations of genetic discontinuities among populations across the entire range covered by the two oak species were assessed with Monmonier’s maximum difference algorithm implemented in Barrier 2.2 (Manni et al., 2004) using the microsatellite loci.”
Spatial scaling and multi-model inference in landscape genetics: Martes americana in northern Idaho (2010, background): “Commonly, population and landscape genetic studies have used F-statistics (Wright 1943), assignment tests or Bayesian clustering (Pritchard et al. 2000; Corander et al. 2003; Francois et al. 2006) to relate genetic differences among predefined subpopulations, propose interpopulation distance relatio”
Break zones in the distributions of alleles and species in alpine plants (2011, methodology): “…of clustering with increasing levels of K. Subsequently, we used Delaunay triangulation to identify geographically neighbouring locations and searched for the largest distances between them with Monmonier’s maximum difference algorithm (Monmonier, 1973) in barrier 2.2 (Manni et al., 2004).”
Putting the ‘landscape’ in landscape genetics (2007, methodology): “…mtDNA cpDNA Haplotype maps, variogram model Difference in semivariograms suggested wind pollinated influence on gene flow between refugia Manni et al. (2004) Simulation & human (Homo sapiens) Opportunistic Y chromosome Monmonier’s algorithm Identified significant genetic barriers…”
Habitat fragmentation reduces genetic diversity and connectivity among toad populations in the Brazilian Atlantic Coastal Forest (2009, methodology): “To correct for this potential bias, we used residual genetic distances derived from the linear regression of pairwise genetic and geographic distances to minimize biases in the estimates of barriers on the Delauney network (Manni et al., 2004).”
The genetic structure of Atlantic cod (Gadus morhua) around Iceland: insight from microsatellites, the Pan I locus, and tagging experiments (2006, methodology): “Very few data exist on the presence of coastal and offshore cod forms in Iceland and on their migration pattern, but Pálsson and Thorsteinsson (2003) suggested that the deep-water fish migrate to deeper waters after the spawning season, whereas shallow-water fish follow the seasonal trend in tempera”
adegenet: a R package for the multivariate analysis of genetic markers (2008, methodology): “Monmonier’s algorithm (Monmonier, 1973), which is used to infer genetic boundaries among geo-referenced genotypes (Manni et al ., 2004), has been extended to include different degrees of connectivity among genotypes ( monmo-nier ) and implemented with an optimization function ( optimize.monmonier ).”
Alleles in space (AIS): computer software for the joint analysis of interindividual spatial and genetic information. (2005, methodology): “This geographical regionalization procedure is increasingly being used to detect the locations of putative barriers to gene flow by iteratively identifying sets of contiguous, large genetic distances along connectivity networks (Doupanloup et al. 2002; Manel et al. 2003; Manni et al. 2004).”
Genetic isolation by distance and localized fjord population structure in Pacific cod (Gadus macrocephalus): limited effective dispersal in the northeastern Pacific Ocean (2009, methodology): “Results from SAMOVA showed that the largest FCT value (0.0269, P = 0.0215) was produced by grouping samples from the Georgia Basin (PS and SG) compared with all coastal samples combined, supporting results obtained from BARRIER.”
Fine-scale spatial and temporal genetic structure of Atlantic cod off the Atlantic coast of the USA (2010, methodology): “Genetic barriers were identified with the program BARRIER 2.2 (Manni et al. 2004).”