Beyond FST: Analysis of population genetic data for conservation

By Devon E. Pearse, Keith A. Crandall. Conservation Genetics, 2004

371 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1ae46208def525d4ca957eaa980982b489bf8d5b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

In Genetics

Citations in the corpus

Adaptive vs. neutral genetic diversity: implications for landscape genetics (2006, background): “Genetic differentiation can for instance be defined as how much of the genetic diversity present in a sample of several populations is found among vs. within these populations (Pearse and Crandall 2004).”
Conservation genetics in a globally changing environment: present problems, paradoxes and future challenges (2007, methodology): “DNA analyses are increasingly used to estimate the extent and organization of genetic diversity in populations in order to infer the causes of spatio-temporal dynamics (see Luikart and England 1999; Pearse and Crandall 2004; Schwartz et al. 2007 for an extensive review).”
Molecular ecology of marine turtles: New approaches and future directions (2008, methodology): “Here I only wish to highlight a recent finding in population genetics: that traditional F-statistics (FST) (Wright, 1951) are not the best methods to resolve population structure under certain circumstances (Whitlock and McCauley, 1999; Pearse and Crandall, 2004; Lee et al., 2007).”
Microsatellites for ecologists: a practical guide to using and evaluating microsatellite markers. (2006, background): “Furthermore, statistical approaches to the questions of most interest to ecologists often require multiple, comparable loci (see Table 1 and Pearse & Crandall 2004).”
Approaches to resolving cephalopod movement and migration patterns (2007, methodology): “Improved methods of estimating migration, identifying clusters of individuals, and identifying the population of origin of individuals are now available (see review by Pearse and Crandall 2004).”
Genetic assignment identifies farm of origin for Atlantic salmon Salmo salar escapees in a Norwegian fjord (2008, methodology): “…developed by Paetkau et al. (1995), a continually expanding list of tools and statistical techniques has been developed (reviewed by Hansen et al., 2001, and Pearse and Crandall, 2004), permitting a variety of methods to be used for the purpose of identification of individuals to genetic groups.”
Integrating genetic data into management of marine resources: how can we do it better? (2008, background): “Some of the new analytical techniques, broadly known as assignment methods (Pearse and Crandall 2004; Manel et al. 2005), have the potential to study contemporary dispersal over ecological time frames, rather than relying on assumptions about long-term migration–drift equilibrium, as do most…”
Relative performance of Bayesian clustering software for inferring population substructure and individual assignment at low levels of population differentiation (2006, methodology): “Most of the recent advances in clustering methodology have been made in a Bayesian statistical framework, to allow simultaneous estimation of many interdependent parameters in complex models; these methods have proven to be very useful for the field of population genetics (Mank and Avise 2004; Pear”
Evolution and Ecology of Species Range Limits (2009, methodology): “Drawing on powerful analytical approaches from landscape and population genetics, molecular genetics can now be used to estimate both recent and historical asymmetrical gene flow between populations (see references within Pearse & Crandall 2004).”
fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets (2014, background): “…correcting for population strati ﬁ - cation in genetic association studies (Pritchard and Donnelly 2001; Price et al. 2006), conservation genetics (Pearse and Crandall 2004; Randi 2008), and studying the ancestry and migration patterns of natural populations (Rosenberg et al. 2002; Reich et al.…”
Advances in molecular technology and their impact on fisheries genetics (2008, background): “While allozyme analyses were largely restricted to the comparison of allele frequencies, estimation of population differentiation and basic mixed-stock analyses (Ryman and Utter 1987), multilocus microsatellite surveys allowed more complex approaches (Beaumont and Rannala 2004; Pearse and Crandall 2”
Habitat fragmentation affects culture transmission: patterns of song matching in Dupont's lark (2005, background): “…anthropogenic disturbances, when other potential indicators, such as genetic markers, may not show any effect, either because the genetic composition of the population has not changed yet or because of the difficulty of separating recent events from historical ones (Pearse & Crandall 2004).”
Using spatial Bayesian methods to determine the genetic structure of a continuously distributed population: clusters or isolation by distance? (2009, methodology): “We also strongly agree with Pearse & Crandall (2004) that different Bayesian clustering approaches should be used to investigate the spatial genetic structure in a data set.”
Genetic Assessment of Lake Sturgeon Population Structure in the Laurentian Great Lakes (2008, methodology): “Due to the large number of sampled spawning locations and STRUCTURE's reputed difficulty in detecting more than 10 populations ( Pearse and Crandall 2004 ), the first run of STRUCTURE was conducted using all 27 spawning locations to detect the clusters at the largest spatial scale.”
Piloting a Non-Invasive Genetic Sampling Method for Evaluating Population-Level Benefits of Wildlife Crossing Structures (2010, background): “…occupancy models (MacKenzie et al. 2006, Pearce and Boyce 2006, Long et al. 2008), calculate migration rates (Manel et al. 2005, Dixon et al. 2006), and quantify the genetic population structure and connectivity gradients (Pearse and Crandall 2004, Proctor et al. 2005, Millions and Swanson 2007).”