Genetic diversity within populations of organisms and species is commonly m
easured using molecular-marker data. It has been claimed that more reliable
diversity measurements can be obtained using selected genetically mapped m
arkers 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, us
ing rice (Oryza sativa L.) as a model species, we have shown that the use o
f 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 th
e known crossability groups within this species. In contrast, we show that
use of mapped-marker data can, in some cases, result in highly misleading p
atterns of diversity: the results obtained are critically related to the ch
oice of parents used in the cross from which the mapping population was pro
duced. For diversity analyses, we propose that it is appropriate to use unm
apped markers provided that the marker-type has been shown to have a wide d
istribution over the genome.