10.5061/DRYAD.1RF75
Athrey, Giridhar
Texas A&M University
Hodges, Theresa K.
Texas A&M University
Reddy, Michael R.
Yale University
Overgaard, Hans J.
Norwegian University of Life Sciences
Matias, Abrahan
Medical Care Development International, Malabo, Equatorial Guinea
Ridl, Frances C.
Medical Research Council
Kleinschmidt, Immo
London School of Hygiene & Tropical Medicine
Caccone, Adalgisa
Yale University
Slotman, Michel A.
Texas A&M University
Data from: Effective population size of malaria mosquitoes: large impact
of vector control
Dryad
dataset
2013
Anopheles gambiae
Anopheles moucheti
Malaria
Anopheles melas
Holocene
Vector control
2013-01-04T20:09:38Z
2013-01-04T20:09:38Z
en
https://doi.org/10.1371/journal.pgen.1003097
220021 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Malaria vectors in sub-Saharan Africa have proven themselves very
difficult adversaries in the global struggle against malaria. Decades of
anti-vector interventions have yielded mixed results – with successful
reductions in transmission in some areas, and limited impacts in others.
These varying successes can be ascribed to a lack of universally effective
vector control tools, as well as the development of insecticide resistance
in mosquito populations. Understanding the impact of vector control on
mosquito populations is crucial for planning new interventions and
evaluating existing ones. However, estimates of population size changes in
response to control efforts are often inaccurate because of limitations
and biases in collection methods. Attempts to evaluate the impact of
vector control on mosquito effective population size (Ne) have produced
inconclusive results thus far. Therefore, we obtained data for 13-15
microsatellite markers for over 1,500 mosquitoes representing multiple
time points for seven populations of three important vector species –
Anopheles gambiae, An. melas and An. moucheti in Equatorial Guinea. These
populations were subjected to indoor residual spraying or long-lasting
insecticidal nets in recent years. For comparison, we also analyzed data
from two populations that have no history of organized vector control. We
used Approximate Bayesian Computation to reconstruct their demographic
history, allowing us to evaluate the impact of these interventions on the
effective population size. In six of the seven study populations, vector
control had a dramatic impact on the effective population size, reducing
Ne between 55-87%, the exception being a single An. melas population. In
contrast, the two negative control populations did not experience a
reduction in effective population size. This study is the first to
conclusively link anti-vector intervention programs in Africa to sharply
reduced effective population sizes of malaria vectors.
DataSheetForDryadMicrosatellite data for the seven study populations. The
excel file has seven sheets labeled by site corresponding to the study
sites in the paper. The data is formatted as a two-column per locus
format, and entered in the GENALEX template. For any questions regarding
the data, please contact the corresponding author.
West Africa
Equatorial Guinea