Literature DB >> 21090993

Is the F(ST) a good predictor of extinction?

Alexandre Robert1.   

Abstract

The organization of neutral genetic variation has long been used as a diagnostic tool to infer demographic properties of populations, and recently it has been shown that this information can also be used to estimate the magnitude of genetic deterioration in small or fragmented populations. A further step of this research is to assess whether neutral genetic indicators can serve to predict and compare the viabilities of endangered species. I use modeling to explore how ecological metapopulation settings are related to neutral genetic indicators (such as the fixation index [F(ST)]), changes in genetic load, and metapopulation viability. The analysis indicates that genetic indicators are generally strongly and consistently correlated with the genetic load, population size and structure, and time of extinction but identifies two potential limitations for their use in viability assessments. First, the regime of environmental perturbations is not accurately reflected by neutral indicators, so that their predictive power may be reduced in variable environments. Second, many species are threatened by recent human-induced changes of their habitat configuration. In most cases, genetic indicators may not have reached their equilibrium value in the altered habitat, which limits their ability to compare species with heterogeneous histories and life-history traits.

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Year:  2010        PMID: 21090993     DOI: 10.1086/657434

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  2 in total

1.  Find the weakest link. A comparison between demographic, genetic and demo-genetic metapopulation extinction times.

Authors:  Alexandre Robert
Journal:  BMC Evol Biol       Date:  2011-09-19       Impact factor: 3.260

2.  A viable population of the European red squirrel in an urban park.

Authors:  Célia Rézouki; Anne Dozières; Christie Le Cœur; Sophie Thibault; Benoît Pisanu; Jean-Louis Chapuis; Emmanuelle Baudry
Journal:  PLoS One       Date:  2014-08-15       Impact factor: 3.240

  2 in total

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