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The use (or misuse) of microsatellite allelic distances in the context of inbreeding and conservation genetics.

Hansson, Bengt LU (2010) In Molecular Ecology 19. p.1082-1090
Abstract
Abstract In line with inbreeding theory, genetic diversity at a set of molecular markers may explain variation in fitness-associated traits in partially inbred populations, and such associations will appear as 'genotype-fitness correlations'. An individual genetic diversity index specifically used for microsatellites is 'mean d(2)', i.e. the mean squared distance between alleles. The original hypothesis for mean d(2)-fitness correlations assumes that mean d(2) captures fitness effects at both ends of the inbreeding-outbreeding spectrum. This hypothesis received strong criticism from work showing that even a plain diversity estimate such as multi-locus heterozygosity (MLH) outperforms mean d(2) as a predictor of the inbreeding coefficient... (More)
Abstract In line with inbreeding theory, genetic diversity at a set of molecular markers may explain variation in fitness-associated traits in partially inbred populations, and such associations will appear as 'genotype-fitness correlations'. An individual genetic diversity index specifically used for microsatellites is 'mean d(2)', i.e. the mean squared distance between alleles. The original hypothesis for mean d(2)-fitness correlations assumes that mean d(2) captures fitness effects at both ends of the inbreeding-outbreeding spectrum. This hypothesis received strong criticism from work showing that even a plain diversity estimate such as multi-locus heterozygosity (MLH) outperforms mean d(2) as a predictor of the inbreeding coefficient and fitness in most realistic situations. Despite this critique, the mean d(2)-approach is still used frequently in ecological and evolutionary research, producing results suggesting that mean d(2) sometimes provides a stronger prediction of fitness than does MLH. In light of the critique, such results are unexpected, but potential explanations for them may exist (at least hypothetically), including scenarios based on close linkage and recent admixture. Nevertheless, a major caveat is that it is very difficult to predict a priori if mean d(2) will improve the genotype-fitness correlation, which in turn makes objective interpretations difficult. Mean d(2)-fitness associations are potentially interesting, but the fact that we cannot easily understand them is problematic and should be thoroughly addressed in each study. Therefore, instead of hastily reached interpretations of mean d(2)-fitness correlations, conclusions need support from complementary analyses, e.g. verifying admixture of genetically structured populations. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Molecular Ecology
volume
19
pages
1082 - 1090
publisher
Wiley-Blackwell
external identifiers
  • wos:000274906000004
  • scopus:77950265893
ISSN
0962-1083
DOI
10.1111/j.1365-294X.2010.04556.x
project
BECC
language
English
LU publication?
yes
id
266cbee7-80af-4c2c-a409-5219072aff65 (old id 1552567)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/20163544?dopt=Abstract
date added to LUP
2010-03-18 11:29:03
date last changed
2018-11-21 19:37:19
@article{266cbee7-80af-4c2c-a409-5219072aff65,
  abstract     = {Abstract In line with inbreeding theory, genetic diversity at a set of molecular markers may explain variation in fitness-associated traits in partially inbred populations, and such associations will appear as 'genotype-fitness correlations'. An individual genetic diversity index specifically used for microsatellites is 'mean d(2)', i.e. the mean squared distance between alleles. The original hypothesis for mean d(2)-fitness correlations assumes that mean d(2) captures fitness effects at both ends of the inbreeding-outbreeding spectrum. This hypothesis received strong criticism from work showing that even a plain diversity estimate such as multi-locus heterozygosity (MLH) outperforms mean d(2) as a predictor of the inbreeding coefficient and fitness in most realistic situations. Despite this critique, the mean d(2)-approach is still used frequently in ecological and evolutionary research, producing results suggesting that mean d(2) sometimes provides a stronger prediction of fitness than does MLH. In light of the critique, such results are unexpected, but potential explanations for them may exist (at least hypothetically), including scenarios based on close linkage and recent admixture. Nevertheless, a major caveat is that it is very difficult to predict a priori if mean d(2) will improve the genotype-fitness correlation, which in turn makes objective interpretations difficult. Mean d(2)-fitness associations are potentially interesting, but the fact that we cannot easily understand them is problematic and should be thoroughly addressed in each study. Therefore, instead of hastily reached interpretations of mean d(2)-fitness correlations, conclusions need support from complementary analyses, e.g. verifying admixture of genetically structured populations.},
  author       = {Hansson, Bengt},
  issn         = {0962-1083},
  language     = {eng},
  pages        = {1082--1090},
  publisher    = {Wiley-Blackwell},
  series       = {Molecular Ecology},
  title        = {The use (or misuse) of microsatellite allelic distances in the context of inbreeding and conservation genetics.},
  url          = {http://dx.doi.org/10.1111/j.1365-294X.2010.04556.x},
  volume       = {19},
  year         = {2010},
}