INVITED REVIEW: What is a population? An empirical evaluation of some genetic methods for identifying the number of gene pools and their degree of connectivity
By Robin S. Waples, Oscar E. Gaggiotti. Molecular Ecology, 2006
1,539 citations recorded by the source corpus.
Subfields: Genetics
View Paper: https://www.semanticscholar.org/paper/6feecdab4c4cd80ce1d20099fe3e0cafe38f48b4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- M. Hellberg
- F. Allendorf
- Robin S. Waples
- Loren J. Hauser
- Patricia L. M. Lee
- Michael Palczewski
- K. Selkoe
- Cynthia Riginos
Citations in the corpus
- Advances in molecular technology and their impact on fisheries genetics (2008, background): “Despite phenomenal improvement in cost and throughput of sample screening, there is still the question whether more individuals or more loci should be screened for population studies (Koskinen et al. 2004; Ryman et al. 2006; Waples and Gaggiotti 2006).”
- Representing genetic variation as continuous surfaces: An approach for identifying spatial dependency in landscape genetic studies (2008, background): “Recent work suggests low values of FST may be statistically, but not necessarily biologically, significant when using highly polymorphic genetic markers such as microsatellites (Hedrick 2005, Waples and Gaggiotti 2006 ).”
- Paradigm shifts in marine fisheries genetics: ugly hypotheses slain by beautiful facts (2008, background): “Population structure ranges not only across a spatial continuum from complete isolation to complete panmixia (random mating) (Waples 1998; Waples and Gaggiotti 2006), but also a temporal continuum of recent evolutionary history from secondary contact between isolated populations to the recent separa”
- Population stock structure of leatherback turtles (Dermochelyscoriacea) in the Atlantic revealed using mtDNA and microsatellite markers (2013, background): “A leatherback returning to nest may not encounter any suitable beaches in the vicinity where it originated.”
- Genetic Assessment of Lake Sturgeon Population Structure in the Laurentian Great Lakes (2008, result): “Both measures are useful in testing the null hypothesis of panmixia, and the results of the pairwise contingency tests are useful in estimating the number of populations ( Waples and Gaggiotti 2006 ).”
- Subpopulations, locations and fragmentation: applying IUCN red list criteria to herbarium specimen data (2010, methodology): “…as well as contributing to broader fields; describing and measuring population structure is highly relevant not only to conservation assessments and conservation biology, but also to population biology more generally, and central to ecology and evolutionary biology (e.g. Waples and Gaggiotti 2006).”
- Hybridization and phylogeography of the Mozambique tilapia Oreochromis mossambicus in southern Africa evidenced by mitochondrial and microsatellite DNA genotyping (2006, methodology): “The potential to discriminate between discrete population units under different scenarios and levels of gene flow, marker type, sample sizes and methods of data analysis have been reviewed recently (Waples and Gaggiotti 2006).”
- Identification of management units using population genetic data. (2007, background): “delineation of MUs when the amount of dispersal is low, but panmixia cannot be rejected owing to low statistical power [6] (Box 2, Figure Ia), or when the degree of statistical power is sufficient to reject panmixia even if the dispersal rate is such that populations are demographically correlated [”
- Determining spatial and temporal scales for management: lessons from whaling (2008, background): “Although the use of genetic data to estimate contemporary gene flow remains an active area of theoretical development, current models are computationally intensive and often biologically unrealistic (Waples and Gaggiotti 2006).”
- 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).”