Issue |
Genet. Sel. Evol.
Volume 34, Number 4, July-August 2002
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Page(s) | 481 - 507 | |
DOI | https://doi.org/10.1051/gse:2002019 |
Genet. Sel. Evol. 34 (2002) 481-507
DOI: 10.1051/gse:2002019
Measuring genetic distances between breeds: use of some distances in various short term evolution models
Guillaume Laval, Magali SanCristobal and Claude ChevaletLaboratoire de génétique cellulaire, Institut national de la recherche agronomique, BP 27, Castanet-Tolosan cedex, France
(Received 9 May 2001; accepted 21 December 2001)
Abstract
Many works demonstrate the benefits of using highly polymorphic
markers such as microsatellites in order to measure the genetic
diversity between closely related breeds. But it is sometimes
difficult to decide which genetic distance should be used. In this
paper we review the behaviour of the main distances encountered in the
literature in various divergence models. In the first part, we
consider that breeds are populations in which the assumption of
equilibrium between drift and mutation is verified. In this case some
interesting distances can be expressed as a function of divergence
time,
t, and therefore can be used to construct
phylogenies. Distances based on allele size distribution (such as
and derived distances), taking a mutation model of
microsatellites, the Stepwise Mutation Model, specifically into
account, exhibit large variance and therefore should not be used to
accurately infer phylogeny of closely related breeds. In the last
section, we will consider that breeds are small populations and that
the divergence times between them are too small to consider that the
observed diversity is due to mutations: divergence is mainly due to
genetic drift. Expectation and variance of distances were calculated
as a function of the Wright-Malécot inbreeding coefficient,
F. Computer simulations performed under this divergence model show
that the Reynolds distance [57]is the best method for very
closely related breeds.
Key words: microsatellites / breeds / divergence / mutation / genetic drift
Correspondence and reprints: Magali SanCristobal
e-mail: msc@toulouse.inra.fr
© INRA, EDP Sciences 2002