GST and its relatives do not measure differentiation

By L. Jost. Molecular Ecology, 2008

2,529 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/fcaa03f04ffb6c4ea8f3195aa886c6d30b9d37f2

How researchers see this paper

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

In Economics and Econometrics

1. P. Meirmans
2. A. Chao
3. Francesco de Bello
4. Y. El-Kassaby
5. Tom Leinster
6. P. Hedrick
7. C. Cobbold
8. I. Porth

In Genetics

1. P. Meirmans
2. R. Frankham
3. David J. Winter
4. P. Hedrick
5. A. Chao
6. Chun‐Huo Chiu
7. Y. El-Kassaby
8. I. Porth

In Molecular Biology

1. P. Meirmans
2. Y. El-Kassaby
3. I. Porth
4. R. Frankham
5. Brian W. Bowen
6. Peter E. Smouse
7. Rod Peakall
8. Luiz A. Rocha

Citations in the corpus

• diveRsity: An R package for the estimation and exploration of population genetics parameters and their associated errors (2013, background): “As can be seen in this example, both h and GST are negatively correlatedwith the number of alleles per locus, while G0ST and DJost are strongly positively correlated.”
• How river structure and biological traits influence gene flow: a population genetic study of two stream invertebrates with differing dispersal abilities (2012, methodology): “As FST is dependent on marker variability (Hedrick, 2005; Jost, 2008), we additionally calculated pairwise Dest (Jost, 2008), an alternative measure of genetic differentiation, using the R package DEMEtics (Gerlach et al.”
• Directional genetic differentiation and relative migration (2013, neutral): “If we assume that the mutation rate does not differ between populations, l can be eliminated from the Equation (22) in Jost (2008) by defining the scaled migration rate M = m / l .”
• Upwelling areas as climate change refugia for the distribution and genetic diversity of a marine macroalga (2016, methodology): “Genetic differentiation between pairs of populations was estimated as FST (Weir & Cockerham, 1984; and its P-values) and as Jost’s D (Jost, 2008).”
• Call for a Paradigm Shift in the Genetic Management of Fragmented Populations (2018, background): “However, FST and related parameters can be extremely misleading in understanding and monitoring distinctiveness because of their high sensitivity to levels of genetic diversity within populations (Jost 2008).”
• Population genetics, larval dispersal, and connectivity in marine systems (2009, neutral): “Although this framework has some substantial practical limitations (Whitlock & McCauley 1999, Jost 2008), F ST continues to be a valuable tool for exploring the magnitude of gene flow among populations, as evidenced by the ubiquity in the literature (Hutchison & Templeton 1999, Neigel 2002, Palumbi…”
• Phylogenetic beta diversity, similarity, and differentiation measures based on Hill numbers (2014, background): “For example, a widely used genetic ‘‘differentiation’’ measure is Nei’s GST based on heterozygosity, the Gini-Simpson index of ecologists (Nei 1973, Jost 2008).”
• Small but mighty: headwaters are vital to stream network biodiversity at two levels of organization (2011, background): “Sørensen’s distances are more appropriate, and other related alternatives have been developed specifically for genetic diversity data (e.g., Jost 2008).”
• Unifying Species Diversity, Phylogenetic Diversity, Functional Diversity, and Related Similarity and Differentiation Measures Through Hill Numbers (2014, background): “Because the pooling concept has been a debated issue in the literature (Hardy & Senterre 2007, Hardy & Jost 2008, Villéger & Mouillot 2008, de Bello et al. 2010) and is essential in diversity analysis, we give a numerical example in Supplemental Appendix 3 to explain the difference between the two…”
• Measuring diversity: the importance of species similarity. (2012, methodology): “Some indices have been used for decades, and have even become the textbook standard, before it is pointed out that the supposedly obvious properties are, in fact, false; see Jost (2008) for an example.”
• Partitioning diversity for conservation analyses (2010, methodology): “Taking q = 2 (as in Simpson measures, or heterozygosity), this gives the new measure D that should replace GST as a measure of differentiation in genetics (Jost, 2008):”
• D vs. GST: Response to Heller and Siegismund (2009) and Ryman and Leimar (2009) (2009, neutral): “2 in Jost 2008), and they approach zero when HS is high, even if the demes are completely differentiated (Fig.”
• Assessment of the Genetic Diversity in Forest Tree Populations Using Molecular Markers (2014, methodology): “GST; [58,60]).”