Molecular Biology and Evolution, Vol 15, 264-276, Copyright © 1998 by Society for Molecular Biology and Evolution
T Lehmann, WA Hawley, H Grebert and FH Collins
We estimated current and long-term effective population size (Ne) of two
Anopheles gambiae (savanna cytotype) populations in Kenya. Temporal
variation at nine microsatellite loci in each population sampled 7 and 9
years apart and genetic diversity in each sample were analyzed to answer
the following questions. (1) Do bottlenecks occur in Kenyan populations of
A. gambiae? (2) How variable are different populations with respect to
their current and long-term Ne values? (3) What are the implications of
these results on population structure and history? The estimates of Ne of
Asembo and Jego were 6,359 and 4,258, respectively, and the lower 95%
limits were 2,455 and 1,669, respectively. Thus, despite the typical
observation of low density at the village level during the dry season,
large populations are maintained annually. Large current Ne is consistent
with previous studies showing low differentiation across the continent,
especially under Wright's isolation-by-distance model. Current Ne in Asembo
was 1.5-fold higher than in Jego, but this difference was not significant.
Long-term Ne in Asembo (22,667) was 2.9-fold higher than that in Jego
(7,855) based on the stepwise mutation model. The difference between
populations was significant at both time points regardless of whether
long-term Ne values were calculated based on the stepwise mutation model or
the infinite-alleles model. Heterozygosity in Jego declined significantly
between 1987 (59%) and 1996 (54%), whereas heterozygosity in Asembo was
stable (66%-65%). Despite the relatively high and significant
differentiation between Asembo and Jego (FST = 0.072-0.10, RST = 0.037-
0.038), all alleles in Jego were found in Asembo but not vice versa. All of
these findings suggest that lower Ne in Jego magnifies differentiation
between the two populations. The long-term Ne was biased downward, because
its calculation was based on an upper bound estimate of microsatellite
mutation rate. Ne values based on mtDNA and allozymes were an order of
magnitude higher. Long-term Ne therefore, is probably measured in hundreds
of thousands and hence does not support a recent expansion of this species
from a small population.
ORIGINAL ARTICLE
The effective population size of Anopheles gambiae in Kenya: implications for population structure
Division of Parasitic Diseases, Centers for Disease Control and Prevention, Chamblee, Georgia 30341, USA. lbt2@cdc.gov
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