Are mapped markers more useful for assessing genetic diversity?

Genetic diversity within populations of organisms and species is commonly measured using molecular-marker data. It has been claimed that more reliable diversity measurements can be obtained using selected genetically mapped markers to ensure that all regions of the genome are represented in the data...

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Bibliographic Details
Published in:Theoretical and applied genetics 2000-02, Vol.100 (3-4), p.607-613
Main Authors: VIRK, P. S, NEWBURY, H. J, JACKSON, M. T, FORD-LLOYD, B. V
Format: Article
Language:English
Subjects:
Amplified fragment length polymorphism
Biodiversity
Biological and medical sciences
Biological diversity
Classical genetics, quantitative genetics, hybrids
Fundamental and applied biological sciences. Psychology
Genetic aspects
Genetic diversity
Genetics of eukaryotes. Biological and molecular evolution
Genomes
Germplasm
Oryza sativa
Physiological aspects
Plant genetics
Pteridophyta, spermatophyta
Rice
Vegetals
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Summary:Genetic diversity within populations of organisms and species is commonly measured using molecular-marker data. It has been claimed that more reliable diversity measurements can be obtained using selected genetically mapped markers to ensure that all regions of the genome are represented in the data sets employed. However, this has not been tested. In the present study, using rice (Oryza sativa L.) as a model species, we have shown that the use of unmapped AFLP markers reveals a pattern of diversity that is very similar to that obtained using a range of other marker types and which reflects the known crossability groups within this species. In contrast, we show that use of mapped-marker data can, in some cases, result in highly misleading patterns of diversity; the results obtained are critically related to the choice ofparents used in the cross from which the mapping population was produced. For diversity analyses, we propose that it is appropriate to use unmapped markers provided that the marker-type has been shown to have a wide distribution over the genome.
ISSN:0040-5752
1432-2242
DOI:10.1007/s001220050080