Literature DB >> 10647891

Minisatellite mutational processes reduce F(st) estimates.

J Flint1, J Bond, D C Rees, A J Boyce, J M Roberts-Thomson, L Excoffier, J B Clegg, M A Beaumont, R A Nichols, R M Harding.   

Abstract

We have used a new method for binning minisatellite alleles (semi-automated allele aggregation) and report the extent of population diversity detectable by eleven minisatellite loci in 2,689 individuals from 19 human populations distributed widely throughout the world. Whereas population relationships are consistent with those found in other studies, our estimate of genetic differentiation (F(st)) between populations is less than 8%, which is lower than comparative estimates of between 10%-15% obtained by using other sources of polymorphism data. We infer that mutational processes are involved in reducing F(st) estimates from minisatellite data because, first, the lowest F(st) estimates are found at loci showing autocorrelated frequencies among alleles of similar size and, second, F(st) declines with heterozygosity but by more than predicted assuming simple models of mutation. These conclusions are consistent with the view that minisatellites are subject to selective or mutational constraints in addition to those expected under simple step-wise mutation models.

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Year:  1999        PMID: 10647891     DOI: 10.1007/s004399900185

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  13 in total

1.  An extensive analysis of Y-chromosomal microsatellite haplotypes in globally dispersed human populations.

Authors:  M Kayser; M Krawczak; L Excoffier; P Dieltjes; D Corach; V Pascali; C Gehrig; L F Bernini; J Jespersen; E Bakker; L Roewer; P de Knijff
Journal:  Am J Hum Genet       Date:  2001-03-16       Impact factor: 11.025

2.  Molecular analysis of the beta-globin gene cluster in the Niokholo Mandenka population reveals a recent origin of the beta(S) Senegal mutation.

Authors:  Mathias Currat; Guy Trabuchet; David Rees; Pascale Perrin; Rosalind M Harding; John B Clegg; André Langaney; Laurent Excoffier
Journal:  Am J Hum Genet       Date:  2001-12-06       Impact factor: 11.025

3.  Interpretation of variation across marker loci as evidence of selection.

Authors:  R Vitalis; K Dawson; P Boursot
Journal:  Genetics       Date:  2001-08       Impact factor: 4.562

4.  Detecting selection in population trees: the Lewontin and Krakauer test extended.

Authors:  Maxime Bonhomme; Claude Chevalet; Bertrand Servin; Simon Boitard; Jihad Abdallah; Sarah Blott; Magali Sancristobal
Journal:  Genetics       Date:  2010-09       Impact factor: 4.562

5.  A hierarchical Bayesian model for next-generation population genomics.

Authors:  Zachariah Gompert; C Alex Buerkle
Journal:  Genetics       Date:  2011-01-06       Impact factor: 4.562

6.  Rampant gene exchange across a strong reproductive barrier between the annual sunflowers, Helianthus annuus and H. petiolaris.

Authors:  Yoko Yatabe; Nolan C Kane; Caroline Scotti-Saintagne; Loren H Rieseberg
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

7.  A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective.

Authors:  Matthieu Foll; Oscar Gaggiotti
Journal:  Genetics       Date:  2008-09-09       Impact factor: 4.562

8.  Evidence for variable selective pressures at MC1R.

Authors:  R M Harding; E Healy; A J Ray; N S Ellis; N Flanagan; C Todd; C Dixon; A Sajantila; I J Jackson; M A Birch-Machin; J L Rees
Journal:  Am J Hum Genet       Date:  2000-03-24       Impact factor: 11.025

9.  Tagging the signatures of domestication in common bean (Phaseolus vulgaris) by means of pooled DNA samples.

Authors:  Roberto Papa; Elisa Bellucci; Monica Rossi; Stefano Leonardi; Domenico Rau; Paul Gepts; Laura Nanni; Giovanna Attene
Journal:  Ann Bot       Date:  2007-08-01       Impact factor: 4.357

10.  Sexual selection does not influence minisatellite mutation rate.

Authors:  William Amos
Journal:  BMC Evol Biol       Date:  2009-01-08       Impact factor: 3.260

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