Anopheles gambiae: historical population decline associated with regional distribution of insecticide-treated bed nets in western Nyanza Province, Kenya

<p>Abstract</p> <p>Background</p> <p>High coverage of insecticide-treated bed nets in Asembo and low coverage in Seme, two adjacent communities in western Nyanza Province, Kenya; followed by expanded coverage of bed nets in Seme, as the Kenya national malaria programme rolled out; provided a natural experiment for quantification of changes in relative abundance of two primary malaria vectors in this holoendemic region. Both belong to the <it>Anopheles gambiae sensu lato (s.l.) </it>species complex, namely <it>A. gambiae sensu stricto (s.s.) </it>and <it>Anopheles arabiensis</it>. Historically, the former species was proportionately dominant in indoor resting collections of females.</p> <p>Methods</p> <p>Data of the relative abundance of adult <it>A. gambiae s.s. </it>and <it>A. arabiensis </it>sampled from inside houses were obtained from the literature from 1970 to 2002 for sites west of Kisumu, Kenya, to the region of Asembo ca. 50 km from the city. A sampling transect was established from Asembo (where bed net use was high due to presence of a managed bed net distribution programme) eastward to Seme, where no bed net programme was in place. Adults of <it>A. gambiae s.l. </it>were sampled from inside houses along the transect from 2003 to 2009, as were larvae from nearby aquatic habitats, providing data over a nearly 40 year period of the relative abundance of the two species. Relative proportions of <it>A. gambiae s.s. </it>and <it>A. arabiensis </it>were determined for each stage by identifying species by the polymerase chain reaction method. Household bed net ownership was measured with surveys during mosquito collections. Data of blood host choice, parity rate, and infection rate for <it>Plasmodium falciparum </it>in <it>A. gambiae s.s. </it>and <it>A. arabiensis </it>were obtained for a sample from Asembo and Seme from 2005.</p> <p>Results</p> <p><it>Anopheles gambiae s.s. </it>adult females from indoor collections predominated from 1970 to 1998 (ca. 85%). Beginning in 1999, <it>A. gambiae </it>s.s decreased proportionately relative to <it>A. arabiensis</it>, then precipitously declined to rarity coincident with increased bed net ownership as national bed net distribution programmes commenced in 2004 and 2006. By 2009, <it>A. gambiae s.s. </it>comprised proportionately ca. 1% of indoor collections and <it>A. arabiensis </it>99%. In Seme compared to Asembo in 2003, proportionately more larvae were <it>A. gambiae s.s.</it>, larval density was higher, and more larval habitats were occupied. As bed net use rose in Seme, the proportion of <it>A. gambiae </it>larvae declined as well. These trends continued to 2009. Parity and malaria infection rates were lower in both species in Asembo (high bed net use) compared to Seme (low bed net use), but host choice did not vary within species in both communities (predominantly cattle for <it>A. arabiensis</it>, humans for <it>A. gambiae s.s.</it>).</p> <p>Conclusions</p> <p>A marked decline of the <it>A. gambiae s.s. </it>population occurred as household ownership of bed nets rose in a region of western Kenya over a 10 year period. The increased bed net coverage likely caused a mass effect on the composition of the <it>A. gambiae s.l. </it>species complex, resulting in the observed proportionate increase in <it>A. arabiensis </it>compared to its closely related sibling species, <it>A. gambiae s.s. </it>These observations are important in evaluating the process of regional malaria elimination, which requires sustained vector control as a primary intervention.</p

Gap-filling eddy covariance methane fluxes : Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands

Time series of wetland methane fluxes measured by eddy covariance require gap-filling to estimate daily, seasonal, and annual emissions. Gap-filling methane fluxes is challenging because of high variability and complex responses to multiple drivers. To date, there is no widely established gap-filling standard for wetland methane fluxes, with regards both to the best model algorithms and predictors. This study synthesizes results of different gap-filling methods systematically applied at 17 wetland sites spanning boreal to tropical regions and including all major wetland classes and two rice paddies. Procedures are proposed for: 1) creating realistic artificial gap scenarios, 2) training and evaluating gap-filling models without overstating performance, and 3) predicting halfhourly methane fluxes and annual emissions with realistic uncertainty estimates. Performance is compared between a conventional method (marginal distribution sampling) and four machine learning algorithms. The conventional method achieved similar median performance as the machine learning models but was worse than the best machine learning models and relatively insensitive to predictor choices. Of the machine learning models, decision tree algorithms performed the best in cross-validation experiments, even with a baseline predictor set, and artificial neural networks showed comparable performance when using all predictors. Soil temperature was frequently the most important predictor whilst water table depth was important at sites with substantial water table fluctuations, highlighting the value of data on wetland soil conditions. Raw gap-filling uncertainties from the machine learning models were underestimated and we propose a method to calibrate uncertainties to observations. The python code for model development, evaluation, and uncertainty estimation is publicly available. This study outlines a modular and robust machine learning workflow and makes recommendations for, and evaluates an improved baseline of, methane gap-filling models that can be implemented in multi-site syntheses or standardized products from regional and global flux networks (e.g., FLUXNET).Peer reviewe

Host Decoy Trap (HDT) with cattle odour is highly effective for collection of exophagic malaria vectors

Background: As currently implemented, malaria vector surveillance in sub-Saharan Africa targets endophagic and endophilic mosquitoes, leaving exophagic (outdoor blood feeding) mosquitoes underrepresented. We evaluated the recently developed host decoy trap (HDT) and compared it to the gold standard, human landing catch (HLC), in a 3x3 Latin square study design outdoors in western Kenya. HLCs are considered to represent the natural range of Anopheles biting-behaviour compared to other sampling tools, and therefore, in principle, provide the most reliable profile of the biting population transmitting malaria. The HDT incorporates the main host stimuli that attract blood meal seeking mosquitoes and can be baited with the odours of live hosts. Results: Numbers and species diversity of trapped mosquitoes varied significantly between HLCs and HDTs baited with human (HDT-H) or cattle (HDT-C) odour, revealing important differences in behaviour of Anopheles species. In the main study in Kisian, the HDT-C collected a nightly mean of 43.2 (95% CI; 26.7-69.8) Anopheles, compared to 5.8 (95% CI; 4.1-8.2) in HLC, while HDT-H collected 0.97 (95% CI; 0.4-2.1), significantly fewer than the HLC. Significantly higher proportions of An. arabiensis were caught in HDT-Cs (0.94 ± 0.01; SE) and HDT-Hs (0.76 ± 0.09; SE) than in HLCs (0.45 ± 0.05; SE) per trapping night. The proportion of An. gambiae s.s. was highest in HLC (0.55 ±0.05; SE) followed by HDT-H (0.20 ± 0.09; SE) and least in HDT-C (0.06 ± 0.01; SE). An unbaited HDT placed beside locales where cattle are usually corralled overnight caught mostly An. arabiensis with proportions of 0.97 ± 0.02 and 0.80 ± 0.2 relative to the total anopheline catch in the presence and absence of cattle, respectively. A mean of 10.4 (95% CI; 2.0-55.0) Anopheles/night were trapped near cattle, compared to 0.4 (95% CI; 0.1-1.7) in unbaited HDT away from hosts. Conclusions: The capability of HDTs to combine host odours, heat and visual stimuli to simulate a host provides the basis of a system to sample human- and cattle-biting mosquitoes. HDT-C is particularly effective for collecting An. arabiensis outdoors. The HDT offers the prospect of a system to monitor and potentially control An. arabiensis and other outdoor-biting mosquitoes more effectively

Geographic Partitioning of Dengue Virus Transmission Risk in Florida

Dengue viruses (DENVs) cause the greatest public health burden globally among the arthropod-borne viruses. DENV transmission risk has also expanded from tropical to subtropical regions due to the increasing range of its principal mosquito vector, Aedes aegypti. Focal outbreaks of dengue fever (dengue) in the state of Florida (FL) in the USA have increased since 2009. However, little is known about the competence of Ae. aegypti populations across different regions of FL to transmit DENVs. To understand the effects of DENV genotype and serotype variations on vector susceptibility and transmission potential in FL, we orally infected a colony of Ae. aegypti (Orlando/ORL) with low passage or laboratory DENV-1 through -4. Low passage DENVs were more infectious to and had higher transmission potential by ORL mosquitoes. We used these same DENVs to examine natural Ae. aegypti populations to determine whether spatial distributions correlated with differential vector competence. Vector competence across all DENV serotypes was greater for mosquitoes from areas with the highest dengue incidence in south FL compared to north FL. Vector competence for low passage DENVs was significantly higher, revealing that transmission risk is influenced by virus/vector combinations. These data support a targeted mosquito-plus-pathogen screening approach to more accurately estimate DENV transmission risk

Homologs of Human Dengue-Resistance Genes, <i>FKBP1B</i> and <i>ATCAY</i>, Confer Antiviral Resistance in <i>Aedes aegypti</i> Mosquitoes

Dengue virus (DENV) is transmitted by mosquitoes and is a major public health concern. The study of innate mosquito defense mechanisms against DENV have revealed crucial roles for the Toll, Imd, JAK-STAT, and RNAi pathways in mediating DENV in the mosquito. Often overlooked in such studies is the role of intrinsic cellular defense mechanisms that we hypothesize to work in concert with the classical immune pathways to affect organismal defense. Our understanding of the molecular interaction of DENV with mosquito host cells is limited, and we propose to expand upon the recent results from a genome-scale, small interfering RNA (siRNA)-based study that identified mammalian host proteins associated with resistance to dengue/West Nile virus (DENV/WNV) infection. The study identified 22 human DENV/WNV resistance genes (DVR), and we hypothesized that a subset would be functionally conserved in Aedes aegypti mosquitoes, imparting cellular defense against flaviviruses in this species. We identified 12 homologs of 22 human DVR genes in the Ae. aegypti genome. To evaluate their possible role in cellular resistance/antiviral defense against DENV, we used siRNA silencing targeted against each of the 12 homologs in an Ae. aegypti cell line (Aag2) infected with DENV2 and identified that silencing of the two candidates, AeFKBP1 and AeATCAY, homologs of human FKBP1B and ATCAY, were associated with a viral increase. We then used dsRNA to silence each of the two genes in adult mosquitoes to validate the observed antiviral functions in vivo. Depletion of AeFKBP1 or AeATCAY increased viral dissemination through the mosquito at 14 days post-infection. Our results demonstrated that AeFKBP1 and AeATCAY mediate resistance to DENV akin to what has been described for their homologs in humans. AeFKBP1 and AeATCAY provide a rare opportunity to elucidate a DENV-resistance mechanism that may be evolutionarily conserved between humans and Ae. aegypti

Summary of the results from two replicate direct feeding assays (DFA) for each VS1 compound using <i>Anopheles stephensi</i> that fed on <i>Plasmodium berghei</i> ANKA 2.34 -infected mice pre- and post-injection with either PBS (carrier-only control), PVP

<p>For each treatment group, the data are summarized into four columns. In the first two columns, the means of the median number of oocysts per mosquito for 4–5 mice per group are given for pre- and post-injection feedings, respectively, with the standard error for each reported in parentheses below the mean. In the third column, the means of percent Inhibition, calculated as the average of (median_pre – median_post)/median_pre for each mouse, are reported for each treatment group along with standard errors in parentheses. In the fourth column, <i>P-</i>value results of Mann-Whitney U tests are reported for each set of pre- and post-injection feedings. Only <i>P</i>-values that are significant at a Bonferroni-corrected alpha of 0.0028 are given. NS, non-significant.</p

VS1 binds to critical <i>Plasmodium</i> micronemal proteins.

<p>Immunofluorescence microscopy images of VS1 staining patterns of permeabilized wild type ookinetes from (<b>A</b>) <i>P. falciparum</i> (WT_Pf) and (<b>B</b>) <i>P. berghei</i> (WT_Pb). Each row of images depicts brightfield, followed by staining with VS1 (green), P28 (red), and the merged image of VS1, P28, and DAPI nuclear staining (blue). Note that different antibodies were used for each <i>Plasmodium</i> species to stain orthologous surface markers, α-P28 for <i>P. falciparum</i> and α-Pbs21 for <i>P. berghei</i>. Size bar = 10 µm. (<b>C</b>) Binding assays with recombinant <i>P. vivax</i> CTRP and WARP (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1003757#ppat.1003757.s005" target="_blank">Figure S5</a>) demonstrate that biotinylated VS1 is recognized by PvWARP and the first vWA domain of PvCTRP. Two representative experiments are shown with assays performed in triplicate. Black bars represent PvWARP (PvW) and gray bars represent PvCTRP (PvC). Each protein, at two concentrations (10 and 5 µg/ml), was allowed to bind with biotinylated VS1 immobilized to a microplate, followed by detection using an anti-HIS MAb (Sigma). In addition, competitive binding assays were performed by incubating the recombinant proteins with heparin (HEP) and chondroitin sulfate A (CS-A) prior to incubation with VS1 and detection of PvWARP and PvCTRP binding to the VS1-coated plate as above. A no-protein control was included in each ELISA assay and used as the background subtraction value. Error bars represent +/−1 standard deviation. (<b>D–F</b>) Immunofluorescence microscopy images demonstrating selective VS1 binding to ookinetes that were generated <i>in vitro</i> from <i>P. berghei</i> (<b>D</b>) CTRP_KO, (<b>E</b>) ΔTS₇, and (<b>F</b>) ΔA₆ transgenic lines. VS1 staining of ΔTS₇ but not CTRP_KO or ΔA₆ ookinetes suggest that the vWA domain of CTRP is the primary binding ligand of VS1, and that staining is specific to the localized expression of CTRP in micronemes. Each row of images depicts brightfield, followed by staining with VS1 (green), P28 (red), and the merged image of VS1, P28, and DAPI nuclear staining (blue). Size bar = 10 µm.</p