Hi Apurba,
I don't think there are any specific guidelines as far as number of
markers and individuals that can give maximum information about
population structure. Broadly speaking, more is better. However, with
genome-wide data, you may get similar answers when using a small
proportion of markers compared with really large number of markers,
both spanning the genome. Of course, numer of markers and individuals
is proportional to the amount of computational time, although that
process could be parallelized (not in a strict sense of the word) by
running multiple instances of Structure if you have a cluster
available.
You could try exploratory analyses using different numbers of markers
and individuals in your dataset to see if you get similar answers in
both cases.
All the best
Vikram
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