The three-gene APL1 locus encodes essential components of the mosquito immune defense against malaria parasites. APL1 was originally identified because it lies within a mapped QTL conferring the vector mosquito Anopheles gambiae natural resistance to the human malaria parasite, Plasmodium falciparum, and APL1 genes have subsequently been shown to be involved in defense against several species of Plasmodium. Here, we examine molecular population genetic variation at the APL1 gene cluster in spatially and temporally diverse West African collections of A. gambiae. The locus is extremely polymorphic, showing evidence of adaptive evolutionary maintenance of genetic variation. We hypothesize that this variability aids in defense against genetically diverse pathogens, including Plasmodium. Variation at APL1 is highly structured across geographic and temporal subpopulations. In particular, diversity is exceptionally high during the rainy season, when malaria transmission rates are at their peak. Much less allelic diversity is observed during the dry season when mosquito population sizes and malaria transmission rates are low. APL1 diversity is weakly stratified by the polymorphic 2La chromosomal inversion but is very strongly subdivided between the M and S “molecular forms.” We find evidence that a recent selective sweep has occurred at the APL1 locus in M form mosquitoes only. The independently reported observation of a similar M-form restricted sweep at the Tep1 locus, whose product physically interacts with APL1C, suggests that epistatic selection may act on these two loci causing them to sweep coordinately.
Immune defense genes are sometimes highly variable in host populations, reflecting selective pressure to combat diverse pathogens. In other instances, where there are only a few dominant pathogens, natural selection may favor only one or a few defense alleles. Here, we show that both adaptive strategies can occur in the same genes under different circumstances. We examined diversity in the APL1 genes of the human malaria vector mosquito Anophleles gambiae, which play a role in defense against malaria parasites. We found that the APL1 genes are exceptionally polymorphic, being 10-fold more diverse than typical A. gambiae genes. The distribution of APL1 allelic diversity, however, is strongly structured depending on whether the genes are carried by the M or S “molecular forms” of the vector, which are thought to constitute newly forming species. We show that despite the evolutionary maintenance of APL1 diversity in the S form of A. gambiae, there is evidence of strong recent directional selection on APL1 genes in the M form. Independent research has shown that Tep1, a gene which encodes a protein that physically interacts with the APL1C protein, also harbors high allelic diversity in the S form and shows evidence of recent directional selection in the M form, suggesting that the evolutionary trajectories of the Tep1 and APL1 defense loci may be correlated.
Citation: Rottschaefer SM, Riehle MM, Coulibaly B, Sacko M, Niaré O, Morlais I, et al. (2011) Exceptional Diversity, Maintenance of Polymorphism, and Recent Directional Selection on the APL1 Malaria Resistance Genes of Anopheles gambiae. PLoS Biol 9(3): e1000600. https://doi.org/10.1371/journal.pbio.1000600
Academic Editor: David S. Schneider, Stanford University, United States of America
Received: August 23, 2010; Accepted: January 27, 2011; Published: March 8, 2011
Copyright: © 2011 Rottschaefer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work was supported by National Institutes of Health grant R01 AI062995. The funding agency had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Abbreviations: LRR, leucine-rich repeat; QTL, quantitative trait locus
Approximately 250 million human malaria cases are reported annually, most of them occurring in sub-Saharan Africa . The vast majority of these are caused by the malaria parasite Plasmodium falciparum, vectored by the mosquito Anopheles gambiae . However, many wild A. gambiae are genetically resistant to P. falciparum establishment and development ,, suggesting that genetic variation in A. gambiae resistance has the potential to influence the dynamics of disease transmission among humans. Identification of the genes that moderate variation in mosquito resistance, and in particular those that may closely co-evolve with malaria parasites, could reveal attractive targets for control intervention and disease management. Despite its potentially great importance, however, remarkably little is known about molecular polymorphism in genes required for mosquito defense against malaria.
The APL1 gene cluster is a strong candidate locus for determination of natural resistance to P. falciparum in wild populations of A. gambiae. The APL1 cluster lies within a quantitative trait locus (QTL) controlling P. falciparum establishment that has been independently and recurrently mapped in both west and east African wild mosquito populations –. The APL1 array is composed of three genes arranged head-to-tail in a 15 kilobase block, which have been denoted APL1A, APL1B, and APL1C and assigned VectorBase identification numbers AGAP007036, AGAP007035, and AGAP007033 ,. RNAi knockdown of APL1A causes increased mosquito susceptibility to P. falciparum infection  and RNAi knockdown of APL1C increases mosquito susceptibility to P. berghei and P. yoelii ,–. Simultaneous RNAi knockdown of the three APL1 homologs in the A. gambiae sister species A. quadriannulatus renders a normally resistant strain susceptible to P. berghei infection . Transcriptional expression of all three paralogs is induced when mosquitoes feed on Plasmodium-laden bloodmeals, although the precise patterns of expression vary across the three genes . APL1A transcription is regulated by the Imd/Rel2-S defense pathway . APL1C, which shows the strongest and most temporally stable induction following a Plasmodium-laden bloodmeal, is regulated by the Toll/Cactus/Rel1 defense signaling pathway . APL1C has recently been shown to complex with the anti-malaria Anopheles resistance protein LRIM1  to regulate the activation of and to stabilize the opsonin TEP1, leading to P. berghei tagging and killing ,. The “G3” laboratory colony of A. gambiae segregates for divergent alleles of natural origin at APL1A, APL1B, and APL1C (denoted with superscripts 1 and 2; ref. ). Mosquitoes in the G3 colony that are homozygous for the APL1A2/APL1B2/APL1C2 linkage group show marked resistance to P. berghei infection , suggesting that natural variation at APL1 might be important for resistance to malaria in the field.
To date, population genetic studies focused on genes involved or hypothesized to be involved in A. gambiae immune defense have found little evidence for co-adaptive host-pathogen evolutionary dynamics –, although these studies have generally been underpowered due to limited examination of small genes or gene fragments and by the unfortunate phylogenetic structure of Anopheles, where taxa sister to A. gambiae are too closely related for comparative tests to enjoy much power but more distant relatives are so far diverged that substitution at synonymous sites approaches saturation . Despite these limitations, the molecular evolution of Tep1 and LRIM1, whose products physically interact at least with APL1C, have been examined in some detail. Tep1 is highly polymorphic at the amino acid and nucleotide levels, possibly due to the formation of chimeric alleles through paralogous gene conversion . Divergent alleles of the Tep1 gene have been shown to confer relative resistance and susceptibility to infection by P. berghei and P. falciparum –. In contrast, the level of polymorphism at LRIM1 is typical of A. gambiae genes ,, although LRIM1 shows weak evidence of adaptive directional evolution in the A. gambiae sister species A. arabiensis. It has thus remained ambiguous whether the TEP1-LRIM1-APL1C complex evolves under diversifying selection, purifying selection, directional adaptation, or some combination of these forces.
Major structural variants of APL1 genes have been previously reported , but the full extent of allelic polymorphism at APL1 in wild mosquitoes has never been determined. In the present study, we conduct extensive population genetic sampling of west African A. gambiae, evaluating allelic diversity at APL1 over time and space. We sequenced the APL1A, APL1B, and APL1C genes of wild A. gambiae collected from three sites in western sub-Saharan Africa: Bancoumana, Mali; Toumani-Oulena, Mali; and Makouchetoum, Cameroon. Bancoumana is in a relatively arid savannah near the capital city, Bamako. Toumani-Oulena is in a more humid forested region, and Makouchetoum is in a humid agricultural region near Foumbot. Samples were drawn from all three locations during the rainy season, when most malaria transmission happens, and additionally during the dry season from the Bancoumana population. We discovered exceptionally high genetic diversity at all three genes, with the majority of this variation observed during the rainy season. We find APL1 genetic variation to be structured geographically, mediated by M/S “molecular form” (reviewed in ) and to a lesser degree by karyotype of the chromosomal inversion 2La. The evolutionary trajectory of APL1 genes is highly significantly deviant from that of other genes in the A. gambiae genome and is generally consistent with adaptive maintenance of polymorphism in S form mosquitoes. At the same time, a recent and strong selective sweep has reduced diversity at the APL1 locus in M form mosquitoes.
Structure of the APL1 Genes and Encoded Proteins
APL1A, APL1B, and APL1C are each composed of a small 5′ exon and longer second exon separated by a short intron . Schematics of the encoded proteins are given in  and Figure 1. Each protein is characterized by an N-terminal signal peptide, a series of leucine-rich repeat (LRR) motifs spanning approximately 300 amino acids in the middle of the protein, and a coiled-coil domain at the C-terminus. APL1A2 alleles encode a premature stop codon that terminates the protein downstream of the LRR domain, eliminating the C-terminal coiled-coil from the predicted mature protein. We observed 5 APL1A1 alleles (out of 38 total sampled) in which the presumptive start codon has been mutated to ATA; it is unclear whether these alleles utilize an alternative ATG to initiate translation. APL1C alleles encode an N-terminal repeated motif of the amino acids P-A-N-G-G-L and related sequences (hereafter referred to as the PANGGL region). The APL1B gene does not have a PANGGL region. Interestingly, the PANGGL region is present in APL1A2 alleles but absent from APL1A1 . In the course of the present study, we found that APL1A alleles of three species sister to A. gambiae (A. arabiensis, A. quadriannulatus, and A. merus) are all PANGGL-less and extremely similar to APL1A1 alleles, suggesting that APL1A2 alleles might be of recent evolutionary origin in A. gambiae. The deletion that eliminates PANGGL from APL1B relative to APL1C is 207 bp longer than and shares neither breakpoint with the insertion/deletion that distinguishes APL1A1 from APL1A2. Thus, there must have been at least two independent mutations resulting in either the gain or loss of the PANGGL region in APL1 genes. The similarity in sequence between the PANGGL repeats and flanking regions of APL1C and APL1A2 alleles, along with the apparent absence of APL1A2 alleles in A. merus, A. arabiensis, and A. quadriannulatus (Figure S1), suggests that PANGGL repeats may have been introduced into the APL1A gene via paralogous conversion with APL1C in A. gambiae. Elevated mutation rate due to the repetitive structure and potentially ongoing exchange between APL1C and APL1A2 might then generate allelic diversity in both genes. Paralogous gene conversion has similarly been hypothesized to explain the origin of divergent alleles of the Tep1 gene in A. gambiae . No function has been determined for the PANGGL repeat region, but convergence of a PANGGL-less structure in APL1B and APL1A1 alleles and presence of PANGGL in APL1C and APL1A2 alleles suggests that presence/absence of the PANGGL domain may alter APL1 function and adaptive value. Testing this hypothesis will require manipulative experimentation.
APL1 Genes Are Exceptionally Polymorphic
Species-level nonsynonymous (amino acid altering) polymorphism is extraordinarily high in APL1A, APL1B, and APL1C, with per-nucleotide estimates of nonsynonymous diversity (πnon) of 5.9%, 3.1%, and 2.4%, respectively (Table 1). These values are approximately 10-fold higher than what is typically observed in A. gambiae genes, including those with immune function (–,[ 19]–, but see ). There is some sharing of polymorphism across the APL1 genes, consistent with paralogous gene conversion that may elevate diversity within genes by introducing blocks of sequence from neighboring loci. Potential conversion events are unsurprisingly most abundant in the LRR region. The majority of the observed polymorphism across the APL1 genes, however, cannot be explained by origin through recent conversion.
Cohuet et al.  have previously surveyed polymorphism at 109 genes distributed around the A. gambiae genome, including 72 genes thought to be involved in immune processes. These data can be thought of a genome “null” distribution to which the APL1 locus can be compared. All three APL1 genes exhibit greater nonsynonymous diversity than any individual gene in the Cohuet et al.  set, which have an average πnon of 0.3% and a maximum of 2.1%. When contrasted to the genome-wide polymorphism data set as a whole, the APL1 genes show a significant excess of amino acid polymorphism in A. gambiae and a deficit of nonsynonymous fixations between A. gambiae and A. arabiensis (χ2(1) = 5.79; p = 0.016, where the test is a 2×2 contingency table populated by the counts of synonymous polymorphisms within A. gambiae and fixations between A. gambiae and A. arabiensis in each the set of APL1 genes and the genome null gene set). The APL1 genes also show a highly significant excess of polymorphism relative to interspecific divergence at synonymous sites (χ2(1) = 7.54; p = 0.006). The pattern observed at APL1 is opposite to the generally observed tendency for mutational differences to accumulate between species and stands in contrast to the slight excess of nonsynonymous fixations between A. gambiae and A. arabiensis in genes with immune function, which has been interpreted to reflect adaptive divergence between these species . The excess of diversity and shared polymorphism we observed at both nonsynonymous and synonymous sites in APL1 is more consistent with adaptive maintenance of variation over evolutionary time  or with interspecific hybridization allowing adaptive introgression of APL1 alleles between species .
A more traditional McDonald-Kreitman  test contrasting the ratios of synonymous and nonsynonymous polymorphism within A. gambiae to synonymous and nonsynonymous divergence between A. gambiae and A. arabiensis shows no significant departure from homogeneity for either the APL1 genes or the Cohuet et al.  genome null set (APL1: Psyn = 342, Pnon = 478, Fsyn = 4, Fnon = 11, G = 1.45, p = 0.23; genome null: Psyn = 1967, Pnon = 731, Fsyn = 86, Fnon = 38, G = 0.74, p = 0.73). The power of these McDonald-Kreitman tests is severely limited, however, by the very small evolutionary divergence between A. gambiae and A. arabiensis. The fact that the “outgroup” A. arabiensis alleles of the APL1 genes are phylogenetically nested within A. gambiae alleles instead of falling at the root of the genealogies (Figure S2) violates basic assumptions of the McDonald-Kreitman test  and may invalidate it. The results of these tests should therefore be interpreted with extreme caution.
Anopheles merus is more distantly diverged from A. gambiae than is A. arabiensis, typically exhibiting 4%–11% divergence between the species at the nucleotide level (e.g., ). We applied a multilocus HKA test in a maximum-likelihood framework  to test the hypothesis that APL1 genes have a different evolutionary trajectory than a set of 50 immune-related and immune-independent genes for which published data describing polymorphism in A. gambiae and divergence between A. gambiae and A. merus was available ,,,,,. An evolutionary model that hypothesized the three APL1 genes to be evolving with adaptive maintenance of polymorphism fit the empirical data highly significantly better than the null model that assumed all genes evolve equivalently neutrally (χ2(3) = 32.8, p = 3.63×10−7), with the APL1 genes estimated to exhibit 12-fold to 35-fold greater diversity than should be expected if they were evolving neutrally. This value may be slightly inflated by the non-independence of polymorphisms introduced by the low level of paralogous gene conversion in the APL1 genes, but the principal observation of exceptionally high allelic diversity and low interspecific divergence in APL1 genes is robust and consistent with adaptive maintenance of polymorphism.
APL1 Diversity Is Not Due to Degradation or Pseudogenization
The high diversity observed in the APL1 genes relative to other genes in the genome could in principle arise if APL1 evolved under low constraint, such that mutations were tolerated as selectively neutral. The weight of the data, however, does not support this hypothesis. If the APL1 genes were simply accumulating neutral substitutions at a higher rate than most genes, they should be expected to show greater interspecific divergence than other genes in the genome. In fact, the opposite pattern is seen, with APL1 alleles obtained from species sister to A. gambiae genealogically nesting within A. gambiae alleles (Figure S2), consistent with continued segregation of variants that predate the species split. An alternative hypothesis is that the polymorphism in the APL1 genes is weakly deleterious, permitted to segregate in extant populations due to relatively low selective constraint but prevented by natural selection from drifting to fixation between species. If this were the case, we might also expect to see an overabundance of nonsense mutations abolishing gene function. There are at least 38 insertion-deletion polymorphisms (indels) segregating in the APL1 genes, assuming a conservative estimate of 11 indels in the repetitive PANGGL region (Figure S1). Only 3 of these 38 indels disrupt reading frame, well below the 13 expected by chance, and each frame-shift is observed in only a single individual in our sample. Similarly, we observed 341 nucleotide polymorphisms segregating in the three APL1 genes, but only three of these result in premature stop codons (discounting the termination codon that differentiates APL1A2 from APL1A1 alleles, which we assume results in a distinct functional morph of the APL1A protein). One of the premature stops occurs five amino acids before the C-terminus of APL1B, and all three of them are singletons in our sample. On its face, the appearance of even three segregating stop codons may seem surprising, but low-frequency nonsense mutations, presumably existing at mutation-selection balance, are actually observed fairly commonly in population genetic surveys, including those of genes involved in insect defense (e.g., –). Approximately 30% of the codons in APL1 genes are one mutational step away from becoming a stop codon, and approximately 1/9 of mutations in these codons will yield premature stops. If we assume that loss-of-function APL1 alleles are recessive and shielded from selection when at low population frequencies, then approximately 3.3% of the polymorphisms observed in the APL1 genes should be premature stops. This expectation is slightly higher than but broadly consistent with our observed data (1/110 in APL1A, 2/114 in APL1B, 0/117 in APL1C). The fact that all frame-shift and premature stop polymorphisms are observed at estimated allele frequencies of 2% or less indicates that purifying selection operates to retain gene structure and function. Finally, the observation of a recent directional selective event centered on APL1 in M form mosquitoes (discussed below) indicates that the APL1 locus is subject to contemporary adaptive evolution.
Population Substructure at APL1
Conspicuously, genetic diversity at APL1 is not distributed evenly across our population samples, but instead is substructured, perhaps according to microecological factors such as humidity or persistence of standing water. The Toumani-Oulena and Makouchetoum collections, both drawn from humid environments in the 2005 rainy season, are undifferentiated from each other at all three genes (p>0.15; Figure 2), but both are mildly differentiated from the 2005 rainy season collection drawn in more arid Bancoumana (p<0.05 in all three genes; Figure 2). The Bancoumana collection from the 2003 dry season is highly significantly differentiated from the rainy season collections at all three genes (p≤10−4 at all three genes for comparisons to Toumani-Oulena and Makouchetoum, p≤1.9×10−2 when compared to the Bancoumana rainy season collection; Figure 2). Both the 2La chromosomal inversion and the “M” and “S” molecular forms are known to vary geographically and ecologically, so we considered the non-exclusive hypotheses that population differentiation at APL1 might be attributable to differences in the frequencies of 2La or M/S form.
Statistical significance determined by permutation of alleles among subpopulation pairs . Mosquitoes sampled during the 2005 rainy season from the humid Toumani-Oulena (TM) and Makouchetoum (MK) regions are undifferentiated. These populations are mildly differentiated from a collection drawn from Bancoumana in the 2005 rainy season (BC rainy). All collections are highly differentiated from a collection drawn from Bancoumana in the 2003 dry season (BC dry). The analysis presented in this figure pools all mosquitoes by site and date of collection and does not take into account 2La karyotype or M/S molecular form.
The APL1 locus lies approximately 1 Mbp inside the distal breakpoint of the polymorphic chromosomal inversion 2La, which has previously been shown to exhibit geographic and microecological variation in frequency. The “inverted” form (2Laa) of the inversion is more common in drier, more arid environments, and the “standard” orientation (2La+) predominates in moister locales ,. We therefore hypothesized that alternate APL1 alleles could be associated with the distinct 2La arrangements and that differences in the frequency of the alternate 2La arrangements might underlie the genetic differentiation we observe at APL1 across our collections. The 2Laa orientation is nearly fixed in the Bancoumana collections, but both arrangements are segregating in the Toumani-Oulena and Makouchetoum collections (Figure 3). To test the hypothesis that divergence between 2Laa and 2La+ chromosomes is responsible for our observed substructure at APL1, we measured differentiation in all three APL1 paralogs after grouping alleles by 2La karyotype irrespective of collection origin. Since it is not possible to identify which of the two homologous chromosomes any APL1 sequence is derived from in a diploid individual, this analysis can only be conducted using homokaryotypic individuals. The 2La inversion does not segregate in the individuals that were recovered from the Bancoumana dry season collection (all mosquitoes have 2Laa/2Laa homokaryotypes), so we conservatively restricted our analysis of population structure across the inversion to S form mosquitoes from the three rainy season collections. There was mild differentiation between 2Laa/2Laa and 2La+/2La+ mosquitoes at all three APL1 paralogs within the S form (APL1A: Kst* = 0.059, p = 0.016; APL1B: Kst* = 0.014, p = 0.094; APL1C: Kst* = 0.050, p = 0.004). Inclusion of all mosquitoes, including the 2Laa/2Laa dry season mosquitoes from Bancoumana in this analysis, results in stronger differentiation at all three APL1 paralogs, although the inclusion of these mosquitoes conflates the effects of 2La and the “M” and “S” molecular forms (discussed below). No major differences in the amount of APL1 genetic diversity were observed between 2La+/2La+ and 2Laa/2Laa homokaryotypes. The differentiation we attribute to 2La is significant and potentially underestimated because our analysis is necessarily restricted to the comparatively small number of homokaryotypic individuals, but it seems to be less severe than the differentiation observed when mosquitoes are categorized by M/S molecular form.
Population frequencies (in percentages) are given in the margins of each table. “Unk.” indicates that 2La karyotype was not determined.
The rDNA polymorphism defining the “M” and “S” molecular forms has also been previously associated with aridity tolerance (reviewed in ), and the relative frequency of M and S form mosquitoes is seasonally variable in some A. gambiae populations ,. The alternate states of the M/S polymorphism are thought to mark incipiently speciating A. gambiae subpopulations isolated by pre-mating reproductive barriers (reviewed in ). We therefore hypothesized that M/S form might contribute to seasonal genetic substructure at APL1. Indeed, 95% of the mosquitoes collected in Bancoumana during the 2003 dry season are M form, while the M form is virtually absent in Toumani-Oulena and Makouchetoum (Figure 3), provisionally supporting the hypothesis that population differentiation at APL1 might be facilitated by reproductive isolation between the M and S forms. Both M and S form mosquitoes are present at intermediate frequency in Bancoumana during the rainy season (Figure 3), which we hypothesized might explain the intermediacy of this collection in diversity and genetic differentiation from the other subpopulations.
Since both M and S form mosquitoes were sampled during the 2005 rainy season in Bancoumana, we could directly test the hypothesis that the differentiation between M and S molecular forms contributes to subdivision at APL1. As expected under this hypothesis, we found that M form mosquitoes from the Bancoumana 2005 rainy season collection are undifferentiated from the Bancoumana 2003 dry season M form mosquitoes but are highly differentiated from the 2005 rainy season S form mosquitoes collected in Toumani-Oulena and Makouchetoum (Table S3). Reciprocally, S form mosquitoes from the 2005 Bancoumana rainy season are undifferentiated from the S form Toumani-Oulena and Makouchetoum collections but are highly significantly differentiated from the 2003 dry season collection, which are M form (Table S3). To further test the hypothesis that isolation between the M and S molecular forms is responsible for the genetic structure we observe at APL1, we sequenced APL1A, APL1B, and APL1C in two additional collections of wild A. gambiae. First, we obtained a second dry season collection of A. gambiae from Bancoumana, this time collected in 2007. Like the 2003 dry season collection, the 2007 dry season mosquitoes are all M form and are deficient in polymorphism relative to the 2005 rainy season collections. The 2007 dry season mosquitoes are genetically indistinguishable from the 2003 dry season mosquitoes, suggesting these are drawn from the same base population (p>0.05 in all genes; Table S3), but as expected, they are highly differentiated from the Toumani-Oulena and Makouchetoum populations (p≤0.005 in all genes; Table S3). In a second confirmation, we evaluated a distinct set of M form mosquitoes collected near Bancoumana during the rainy seasons of 1997 and 1999. The APL1 alleles in these rainy season M form mosquitoes are also genetically indistinguishable from those of the M form 2003 and 2007 dry season mosquitoes (p>0.05 in all genes; Table S3) but again are differentiated from the S form Toumani-Oulena and Makouchetoum populations (p<10−3 in all genes; Table S3). When all mosquitoes from all collections are pooled regardless of population of origin, the S form subpopulation is highly significantly differentiated from the M form subpopulation at all three genes (p<10−4 at each gene). We therefore conclude that the population substructure we observe in APL1 genes is primarily due to differentiation between the M form and S form of A. gambiae and that ecological and season variation contribute only indirectly by influencing M and S prevalence.
A Recent Selective Sweep in M Form A. gambiae at APL1
The M form mosquitoes exhibited markedly less genetic diversity at APL1 than did S form mosquitoes (Table 1, Table S1), raising the possibility that a recent strong selective event may have purged APL1 genetic variation in the M form population. The classical indications of a recent selective sweep include a deficit of polymorphism , and a skew in the site frequency spectrum toward rare genetic variants  that can be measured as a negative value of test statistics such as Tajima's D (Table 1; ) or Fu and Li's F* (Figure 4; ) and a deficit of haplotype diversity . The M form population exhibits all three of these characteristics at the APL1 genes (Table 1, Figure 4, Table 2, Table S1).
M form mosquitoes exhibit a sharp drop in polymorphism at the APL1 locus relative to S form mosquitoes, plotted as the ratio of nucleotide diversity (π) in the M form to diversity in the S form. The M form mosquitoes also exhibit an enhanced skew toward rare variants, indicated by negative values of Fu and Li's F* . The data are consistent with a recent selective sweep at APL1 in the M form only.
If APL1 genes have been the target of a recent selective sweep in M form mosquitoes, we would expect to see the signatures of selection appearing especially prominently at the APL1 genes themselves and dissipating at progressively distant physical (recombinational) distances away from the locus. To test this, we sequenced loci at approximately 5, 10, 20, and 40 kilobases to either side of the APL1 locus in both M form and S form Bancoumana mosquitoes. The M form mosquitoes display a prominent dip in diversity relative to diversity in the S form at the APL1 locus, with variation returning to normal levels by 5–10 kb on either side of APL1 (Figure 4). The M form mosquitoes also show an enhanced skew toward rare variants and a loss of haplotype diversity at APL1 that is not observed in S form mosquitoes or in flanking loci (Figure 4, Table 2). Whereas the S form populations show deep genealogical structure at the APL1 genes and flanking regions, one primary allele has become predominant in each of the APL1 genes in the M form (Figure S2). This genetic substructure between M and S dissipates with progressive distance to either side of the APL1 locus, with the M form rapidly regaining deeper genealogical structure and allelic interspersion with the S form (Figure S3). Because these patterns are all restricted to or enhanced at the APL1 locus, they cannot be due to differences in the demographic history between M and S forms. Collectively, the data provide strong evidence that APL1 has recently been the target of directional selection specifically in the M form population.
It seems most likely that the inferred selection has operated on variation previously segregating in the M form (as opposed to having acted on a newly occurring mutation) and that the sweep has been only partial. This conclusion is drawn from the fact that the S form is segregating for haplotypes similar to those that predominate in the M form (Figure S2) and that the M form segregates for rare divergent haplotypes that are common in the S form (Figure S2). One explanation for these data could be that continued introgression allows exchange of APL1 alleles between the M and S forms. Given the degree of divergence among the haplotypes and the low incidence of interbreeding between M and S in the field , however, it is more likely that the variation in both forms predates their reproductive isolation and that the partial sweep has purged most of the M form variation at APL1. Interestingly, a similar selective event has been reported at the genetically unlinked Tep1 locus in west African M form mosquitoes  (see also ). The fact that TEP1 and APL1C physically interact – raises the tantalizing possibility that the two loci have been involved in a coordinate epistatic sweep.
Immune system genes may evolve in complex interplay with pathogens. Elevated diversity in immune-related genes can arise and be maintained over evolutionary time as a consequence of natural selective pressures to combat varied pathogens, but rapid changes in epidemiological pressure can also drive directional selection in defense genes. The APL1 genes of A. gambiae exemplify this complexity of evolution, showing evidence of adaptive maintenance of polymorphism in one subpopulation and strong directional selection in another. In the S form, the APL1 genes exceed the A. gambiae genome average diversity by 10-fold and depart markedly from what has been observed in other A. gambiae defense genes, the majority of which evolve under purifying selection and exhibit little evidence of host-pathogen co-evolutionary dynamics –,–. The massively elevated diversity observed in the APL1 genes is not coupled with an increase in interspecific divergence, suggesting that the dramatic elevation in polymorphism does not arise simply through a high mutation rate or low functional constraint. To the contrary, interspecific divergence is lower at APL1 than in typical Anopheles genes either with or without immune function. The observed pattern of high diversity and low interspecific divergence is more consistent with adaptive maintenance of polymorphism . At the same time, however, we find compelling evidence that a recent selective sweep has acted on the APL1 locus to favor near-fixation of a single major haplotype in the M form genetic subpopulation, resulting in a sharp local decrease in diversity and a strong skew in the site frequency spectrum toward rare variants. This sweep appears to be coordinate with an independently reported sweep at the Tep1 gene , revealing a rare instance of strong epistatic selection.
While the evolution of APL1 departs from that of most Anopheles defense genes, it bears striking similarity to that of Tep1. The APL1C, TEP1, and LRIM1 proteins form a physical complex that activates and stabilizes TEP1 to enact parasite elimination ,, raising the possibility that the complex may evolve coordinately. Like APL1, Tep1 segregates for highly divergent alleles and sustains levels of nonsynonymous diversity approaching that of APL1 , although the level of diversity in LRIM1 is closer to that typical of A. gambiae genes ,. A. gambiae alleles from S form mosquitoes are notably paraphyletic with respect to sister species A. arabiensis, A. quadriannulatus, and A. merus at the APL1, Tep1, and LRIM1 genes (Figure S2, ,). While it is not uncommon to find genealogically interspersed alleles of the very closely related (and perhaps occasionally still hybridizing) species A. gambiae and A. arabiensis , the more distantly related A. merus typically falls as an outgroup to A. gambiae genes. As there is little opportunity for ongoing hybridization between A. gambiae and A. quadriannulatus or A. merus, we infer that the incomplete assortment at APL1, and perhaps Tep1 and LRIM1, results from continued segregation of alleles that pre-date the formation of these species.
While both the 2La inversion and geographic/ecological sampling location drive mild substructuring of APL1, by far the biggest influence on genetic structure at APL1 is the distinction between M and S molecular forms. The M and S molecular forms are generally reproductively isolated in the field, even when they occur sympatrically  as they do at our Bancoumana, Mali, sampling site. Although APL1 does not lie within any of the previously described “islands” of speciation ,, we find M and S form mosquitoes to be highly significantly differentiated at APL1, with strong evidence for a recent partial selective sweep having occurred in the M form. Strikingly, Tep1 appears to have undergone a similar sweep, also restricted to the M form (; see also ). It would be plausible to hypothesize that a coordinate epistatic sweep has impacted the entire APL1C-LRIM1-TEP1 complex in M form mosquitoes. Obbard et al. , however, found no evidence for a selective sweep at LRIM1 in M form mosquitoes collected in Cameroon.
It is unclear why a strong selective event in the APL1 and Tep1 genes should be restricted to the M form, although the explanation probably lies in known ecological differences between the forms . Both forms are highly anthropophilic and are competent vectors of human malaria, but they prefer distinct larval habitats, vary in tolerance of aridity, and have only partially overlapping geographic ranges. Although the APL1, Tep1, and LRIM1 genes have been characterized as anti-malaria defense factors ,,–,, it is probable that these are more generic defense molecules. For instance, the observation of Mitri et al.  that APL1C confers effective defense against rodent malarias Plasmodium berghei and P. yoelii is much more likely to be the result of generic immune activity than of specific co-evolution since A. gambiae is not naturally exposed to these parasites, and TEP1 has previously been shown to play an important role in phagocytosis of bacteria . Thus, even though APL1 and interacting genes may be important in defense against malaria parasites, we cannot be certain the evolutionary history of these genes results from selective pressure imposed by Plasmodium. Given the ecological differences between M and S form mosquitoes, it is quite likely that distinct pathogens, potentially including pathogens of the larval life stage, could impose distinct selective pressures on the M and S forms, potentially explaining the difference between forms in the evolutionary trajectory of the APL1 genes.
Our data indicate that functionally variable APL1 alleles are evolutionarily maintained to combat diverse pathogens, perhaps including but probably not restricted to Plasmodium species. Directed, manipulative experiments will be required to test this hypothesis. A more focused selective force seems to have driven a coordinate epistatic sweep at the APL1 and Tep1 loci in M form A. gambiae. While we do not know the proximal agent of selection, the observation underscores the importance of considering M and S form mosquitoes as distinct ecological and genetic entities, even when they are apparently sympatric, with obvious implications for both conventional and genetic control strategies. Our data reveal APL1 to be one of the few known loci to evolve under both adaptive maintenance of polymorphism and directional selection, and combine with those in  to describe a rare instance of epistatic selection on genetically unlinked loci.
Materials and Methods
Anopheles gambiae were collected inside dwellings from four locations over multiple years. During the 2005 rainy season, samples were taken in July from the agricultural area of Makouchetoum, Cameroon (5°30′N 10°37′W), and in August from the more forested Toumani-Oulena, Mali (10°83′N 7°81′W) and from the village of Bancoumana outside the Malian capital city, Bamako (12°39′N 8°0′W). An additional collection was drawn from N′gabakoro Droit, a village northeast of Bamako, during the dry season in March 2003. For simplicity, this collection is referred to as “Bancoumana-dry” in the article to indicate that it is drawn from the same approximate location but in a distinct time of year as the Bancoumana rainy season collection. In total, we completely sequenced 48 alleles of APL1A, 59 alleles of APL1B, and 53 alleles of APL1C from these initial collections (Table 1), covering more than 6 kb of unique sequence and yielding 451 single nucleotide polymorphisms and 38 insertion/deletion polymorphisms. This sampling should be sufficient to recover the majority of mutations of appreciable frequency in the population  (though note that the cited reference assumes a panmictic population, which is certainly not the case with Anopheles) and provides sufficient power to detect genetic substructure among populations (; Figure 2, Table S3).
In order to test specific hypotheses regarding population substructure that arose during analysis of the initial data, a second dry season collection was made in Bancoumana itself in 2007 and an additional sample of M form mosquitoes collected in Bancoumana during the rainy seasons of 1997 and 1999 was drawn from pedigrees described in Riehle et al. . The latter pedigree samples are not a completely random sample from the natural population, as they are expected to have undergone some unavoidable selection during their establishment in the lab. We have no reason to suspect, however, that diversity at the APL1 locus should have been specifically affected during laboratory establishment and maintenance. Six to nine new alleles were sequenced at each gene from these secondary collections, which provided ample power to test our specific hypotheses (Table S3).
Anopheles quadriannulatus DNA was obtained from the SKUQUA colony maintained by the Malaria Research and Reference Reagent Resource Center (MR4). Anopheles arabiensis were field-collected near Bancoumana in 2003. Anopheles merus DNA from mosquitoes of the OPHANSI colony was obtained from MR4.
DNA Extraction, PCR, and Sequencing
DNA was extracted from the mosquitoes using DNAzol (Invitrogen) or DNeasy kits (Qiagen) under slight modifications to the manufacturers' suggested protocols. PCR primers were designed based on genomic sequence of the APL1 region of mosquitoes comprising the G3 laboratory colony . Because of the high degree of sequence similarity among the three APL1 paralogs, primers for this study were designed to flank the coding regions so that each gene could be specifically amplified without cross-amplification of the paralogs. Each paralog was amplified from genomic DNA using iProof high fidelity DNA Polymerase (BioRad). PCR products were run out on a 1% agarose gel, and the amplified products were excised and purified using either the S.N.A.P. gel purification kit or the PureLink get extraction kit (both from Invitrogen). Adenosine tails were added to the purified products by incubation for 20 min at 72°C with PCR buffer, dATP, and Taq polymerase (New England Biolabs). Tailed products were then cloned using the TOPO XL cloning kit (Invitrogen) for sequencing. This strategy of amplifying and cloning entire APL1 paralogs prior to sequencing allows us to phase polymorphisms within genes, although we do not know the linkage relationships of mutations across paralogs.
Only one of the two alleles at each APL1 gene was sequenced from any given mosquito in the study. The PCR primers used to screen for colonies containing APL1B inserts coincidentally amplified a polymorphic 163 bp deletion in the 3′ UTR, revealing some individual mosquitoes to be heterozygous for that mutation. For these individuals, a coin toss was used to randomly select which allele would be sequenced for inclusion in population genetic analyses. Colonies to be sequenced were grown overnight at 37°C in liquid Luria-Bertani broth supplemented with 20 mg/ml kanamycin, and the plasmids were isolated using the Qiaprep spin miniprep kit (Qiagen). The products were then sequenced directly from the plasmids using the BigDye Terminator Cycle Sequencing Kit v3.1(ABI). The sequences were assembled using Sequencher (Gene Codes Corp.). APL1 sequences have been deposited into Genbank under accession numbers HQ702785-HQ702849 and HQ860124-HQ860265.
In order the test the hypothesis of a selective sweep at the APL1 locus in M form mosquitoes, approximately 1 kilobase of sequence data was obtained from 10 M form and 10 S form mosquitoes collected in Bancoumana at noncoding loci approximately 5 kb, 10 kb, 20 kb, and 40 kb to either side of the APL1 locus, based on the coordinates of “AgamP3” assembly of the reference A. gambiae genome sequence. Only 9 S form alleles collected at the position 5 kb 5′ of the APL1 cluster because the 10th DNA template consistently failed to PCR amplify. None of these loci are located in previously described islands of differentiation between M and S form mosquitoes. Amplification primers were designed to the flanking loci based on the PEST genome sequence , and products were sequenced as described above. These flanking sequences have been deposited into Genbank under accession numbers HQ859966-HQ860123.
In order to control for sequencing error, singleton polymorphisms were verified by re-amplification and direct sequencing of heterozygous PCR products or additional independently amplified and cloned products. Genomic DNA was limited for many samples, so whole genome amplification was performed using the GenomiPhi kit (GE Healthcare) prior to singleton validation. Whole genome amplified products were diluted 1∶100, and then 1 ul of diluted amplified DNA was used as template in a 20 ul PCR using primers located outside the gene coding sequence. This full-length amplicon was then used as template in a secondary PCR, in which internally nested primers were used to robustly amplify the gene region containing the singleton to be validated. Unincorporated primers and dNTPs were inactivated from these secondary amplification products by incubation for 60 min at 37°C with ExoI and SAP (both manufactured by USB), with enzymes subsequently inactivated by 10 min incubation at 65°C. Amplification products were then directly sequenced using the BigDye Terminator Cycle Sequencing Kit v3.1 (Applied Biosystems). Across all three APL1 genes, 470 out of the 581 singleton polymorphisms validated (80.9% validation). This means, prior to correction, our initial cloning and sequencing had an error rate of approximately 3 in 10,000 nucleotides.
PCR amplification of the APL1A gene from some individuals occasionally yielded products of unexpectedly small size. DNA sequencing revealed that these bands are similar in sequence to some APL1A1 alleles but carry dramatic genomic deletions that eliminate the presumptive start codon and the entire PANGGL region. If this sequence does indeed code an expressed allele, we infer that translation would initiate with a methionine codon early in the LRR region. We detected some individuals that carried this much shortened APL1A-like sequence in addition to more conventional APL1A1 and APL1A2 alleles, suggesting that the shorter APL1A-like sequence may be a genomic duplicate. No such APL1A duplicate can be found in the completely sequenced A. gambiae genome , and while APL1A PCR on some individuals repeatedly yielded the shorter band, other individuals never yielded the shorter product. No individual mosquitoes carried the shortened allele in the absence of any full-length APL1A allele. Unfortunately, amplification of this APL1A-like duplicate was somewhat unreliable, even across replicate amplifications of the same DNA template, so we are unable to precisely estimate the population frequency of the inferred APL1A duplicate. Neither are we able to perform conventional population genetic analyses, due to concerns that our positive amplifications may represent a non-random subset of the naturally existing duplicate alleles. The duplicate alleles that we did sequence are polymorphic for nucleotide variants that are not observed among standard APL1A alleles, suggesting that this duplication may be relatively old and evolving independently of APL1A.
Molecular Form and 2La Inversion State
The M/S molecular form of each individual mosquito was determined using the PCR diagnostic developed by Favia et al. . Since APL1 is located within the 2La chromosomal inversion, 2La karyotype was inferred for each individual using a PCR diagnostic developed by White et al. . M/S and 2La genotyping was performed a minimum of two times on each individual using whole genome amplified DNA template.
Population Genetic Analyses
Estimates of population diversity based on the number of polymorphic sites (θW) and the average number of pairwise differences among alleles (π) were calculated separately for synonymous and for nonsynonymous sites, as well as for all sites in combination, using DnaSP 5.1 . The normalized difference between these two estimators, Tajima's D , as well as Fu and Li's F*  were also calculated in DnaSP. Haplotype homozyosity (EW) was defined as the sum of squared frequencies of each distinct haplotype observed as described in Zeng et al.  and was calculated using a custom script written in C. The distribution of the EW statistic under selective neutrality was determined from 1,000 simulated neutral genealogies of the same sample size and number of segregating sites as each empirical data set. Neutral genealogies were simulated using the program ms  conservatively assuming no recombination. The degree of genetic subdivision among pairs of collections was estimated using the KST* statistic  as implemented in DnaSP. KST* is a measure of the proportion genetic variation that segregates within a priori subpopulations relative to the total amount of genetic variation across all subpopulations. Significant values of the statistic indicate that individuals from the same subpopulation tend to be genetically more similar to each other than they are to individuals from other subpopulations. The statistical significance of the observed KST* was estimated by comparison to a null distribution of KST* constructed for each pair of populations at each locus by permuting subpopulation identities and re-calculating KST* 10,000 times. Results are reported using the statistic KST* (Figure 2), but the metrics KST  and FST  gave similar results. The maximum likelihood multi-locus HKA test was conducted using mlhka  on the 50 gene sets published in ,,,,,. Some of these data sets include multiple A. merus sequences. In those cases, a single A. merus sequence was chosen at random for inclusion in the analysis. In instances where the A. merus sequence was heterozygous, one of the nucleotide states was chosen with 50% probability. Because the true divergence between A. gambiae and A. merus is not known, Markov chains were initiated with starting values of 4Ne equal to 0.1, 1.0, and 10. Analyses initiated from all three points yielded identical model likelihoods, similar estimates of the selection parameter for the three APL1 genes, and a maximum likelihood divergence time of 0.35*Ne generations. All population genetic statistics were generated excluding polymorphic sites segregating inside insertions and deletions.
Alignment of amino acid haplotypes observed in the PANGGL regions of APL1C and APL1A2 alleles. Period symbols (.) indicate identity with the residue indicated in the first row. Dashes (-) indicate deleted sequence. The repeated motif TNFGGQ is highlighted in red. The repeated motif PANGGL and related sequences are highlighted in blue. The numbers in the first four columns indicate the number of times each haplotype was observed in the Bancoumana dry, Bancoumana rainy, Toumani-Oulena, and Makouchetoum collections, respectively. The 33 S form mosquitoes carry 19 distinct haplotypes in this protein region, while the 18 M form mosquitoes carry only three haplotypes. The fifth column indicates the molecular form each haplotype was found in. There were no haplotypes found in both molecular forms, and we found no APL1A2 alleles in A. arabiensis, A. quadriannulatus, or A. merus.
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Alleles of the APL1A, APL1B, and APL1C genes show strong genealogical structuring between the M and S molecular forms. A small number of closely related alleles predominate in the M form, whereas the S form shows deeper genealogical structure. The data are consistent with a recent selective sweep that has been restricted to the M form, purging diversity from the M form but not the S form. The plotted genealogies are neighbor joining trees, drawn in MEGA 3.1  using uncorrected p-distance and pairwise-deletion comparisons. Nodes with greater than 50% bootstrap support are indicated. Tips labeled “BC dry” were collected in the 2003 dry season in Bancoumana, Mali; tips labeled “BC rainy” were collected in Bancoumana during the 2005 rainy season; tips labeled “Makouchetoum” were collected during the 2005 rainy season in Makouchetoum, Cameroon; and tips labeled “Toumani-Oulena” were collected during the 2005 rainy season in Toumani-Oulena, Mali.
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Alleles 5 kb, 10 kb, 20 kb, and 40 kb to either side of APL1 gene cluster do not show strong genealogical structuring between the M and S molecular forms. Whereas the APL1 genes show strong subdivision between M and S and very little diversity within the M form, alleles from M and S form alleles become progressively more genealogically interspersed and the M form shows greater genealogical depth with increasing physical (recombinational) distance from the APL1 locus. These data indicated that the structuring observed at APL1 is restricted to that locus and is not a general property of M/S differentiation, consistent with a recent selective sweep at APL1 in the M form, purging diversity from the M form but not the S form. All mosquitoes in these figures were collected in Bancoumana, Mali. The plotted genealogies are neighbor joining trees, drawn in MEGA 3.1  using uncorrected p-distance. Nodes with greater than 50% bootstrap support are indicated; scale bar indicates nucleotide divergence.
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Population genetic parameter estimates for M and S form mosquitoes at the three APL1 paralogs.
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Population genetic parameter estimates at the APL1A locus, considered separately for alleles falling in the APL1A1 and APL1A2 structural classes.
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Subpopulation differentiation at the APL1 locus across geographic and temporal samples, structured by M and S molecular form. An insufficient number of M form APL1A alleles were sequenced from Bancoumana in the 2005 rainy season to conduct the analysis with confidence. Differentiation is estimated by KST*, with statistical significance (in parentheses) determined through 1,000 permutations of alleles among collections. In all cases, M form mosquitoes are highly significantly differentiated from S form mosquitoes regardless of geographic or temporal origin.
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We thank Darren Obbard for valuable comments on a previous version of this article and Brad White and Nora Besansky for open discussion of unpublished data. Sarah Short and Jacob Crawford provided feedback that improved the quality of the manuscript.
The author(s) have made the following declarations about their contributions: Conceived and designed the experiments: SMR MMR KDV BPL. Performed the experiments: SMR MMR. Analyzed the data: SMR BPL. Contributed reagents/materials/analysis tools: MMR BC MS ON IM SFT KDV. Wrote the paper: SMR MMR BC MS ON IM SFT KDV BPL.
- 1. World Malaria Report (2008) Geneva, Switzerland: World Health Organization Press.
- 2. Fontenille D, Simard F (2004) Unravelling complexities in human malaria transmission dynamics in Africa through a comprehensive knowledge of vector populations. Comp Immunol Microbiol Infect Dis 27: 357–375.
- 3. Niaré O, Markianos K, Volz J, Oduol F, Touré A, et al. (2002) Genetic loci affecting resistance to human malaria parasites in a West African mosquito vector population. Science 298: 213–216.
- 4. Riehle M. M, Markianos K, Niaré O, Xu J, Li J, et al. (2006) Natural malaria infection in Anopheles gambiae is regulated by a single genomic control region. Science 312: 577–579.
- 5. Menge D. M, Zhong D, Guda T, Gouagna L, Githure J, et al. (2006) Quantitative trait loci controlling refractoriness to Plasmodium falciparum in natural Anopheles gambiae mosquitoes from a malaria-endemic region in western Kenya. Genetics 173: 235–241.
- 6. Riehle M. M, Markianos K, Lambrechts L, Xia A, Sharakhov I, et al. (2007) A major genetic locus controlling natural Plasmodium falciparum infection is shared by East and West African Anopheles gambiae. Malar J 6: 87.
- 7. Riehle M. M, Xu J, Lazzaro B. P, Rottschaefer S. M, Coulibaly B, et al. (2008) Anopheles gambiae APL1 is a family of variable LRR proteins required for Rel1-mediated protection from the malaria parasite, Plasmodium berghei. PLoS ONE 3: e3672.
- 8. Mitri C, Jacques J. C, Thiery I, Riehle M. M, Xu J, et al. (2009) Fine pathogen discrimination within the APL1 gene family protects Anopheles gambiae against human and rodent malaria species. PLoS Pathog 5: e1000576.
- 9. Habtewold T, Povelones M, Blagborough A. M, Christophides G. K (2008) Transmission blocking immunity in the malaria non-vector mosquito Anopheles quadriannulatus species A. PLoS Pathog 4: e1000070.
- 10. Osta M. A, Christophides G. K, Kafatos F. C (2004) Effects of mosquito genes on Plasmodium development. Science 303: 2030–2032.
- 11. Fraiture M, Baxter R. H, Steinert S, Chelliah Y, Frolet C, et al. (2009) Two mosquito LRR proteins function as complement control factors in the TEP1-mediated killing of Plasmodium. Cell Host Microbe 5: 273–284.
- 12. Povelones M, Waterhouse R. M, Kafatos F. C, Christophides G. K (2009) Leucine-rich repeat protein complex activates mosquito complement in defense against Plasmodium parasites. Science 324: 258–261.
- 13. Little T. J, Cobbe N (2005) The evolution of immune-related genes from disease carrying mosquitoes: diversity in a peptidoglycan- and a thioester-recognizing protein. Insect Mol Biol 14: 599–605.
- 14. Obbard D. J, Linton Y. M, Jiggins F. M, Yan G, Little T. J (2007) Population genetics of Plasmodium resistance genes in Anopheles gambiae: no evidence for strong selection. Mol Ecol 16: 3497–3510.
- 15. Simard F, Licht M, Besansky N. J, Lehmann T (2007) Polymorphism at the defensin gene in the Anopheles gambiae complex: testing different selection hypotheses. Infect Genet Evol 7: 285–292.
- 16. Slotman M. A, Parmakelis A, Marshall J. C, Awono-Ambene P. H, Antonio-Nkondjo C, et al. (2007) Patterns of selection in anti-malarial immune genes in malaria vectors: evidence for adaptive evolution in LRIM1 in Anopheles arabiensis. PLoS One 2: e793.
- 17. Cohuet A, Krishnakumar S, Simard F, Morlais I, Koutsos A, et al. (2008) SNP discovery and molecular evolution in Anopheles gambiae, with special emphasis on innate immune system. BMC Genomics 9: 227.
- 18. Obbard D. J, Callister D. M, Jiggins F. M, Soares D. C, Yan G, et al. (2008) The evolution of TEP1, an exceptionally polymorphic immunity gene in Anopheles gambiae. BMC Evol Biol 8: 274.
- 19. Parmakelis A, Slotman M. A, Marshall J. C, Awono-Ambene P. H, Antonio-Nkondjio C, et al. (2008) The molecular evolution of four anti-malarial immune genes in the Anopheles gambiae species complex. BMC Evol Biol 8: 79.
- 20. Lehmann T, Hume J. C, Licht M, Burns C. S, Wollenberg K, et al. (2009) Molecular evolution of immune genes in the malaria mosquito Anopheles gambiae. PLoS One 4: e4549.
- 21. Obbard D. J, Welch J. J, Little T. J (2009) Inferring selection in the Anopheles gambiae species complex: an example from immune-related serine protease inhibitors. Malar J 8: 117.
- 22. Blandin S, Shiao S. H, Moita L. F, Janse C. J, Waters A. P, et al. (2004) Complement-like protein TEP1 is a determinant of vectorial capacity in the malaria vector Anopheles gambiae. Cell 116: 661–670.
- 23. Dong Y, Aguilar R, Xi Z, Warr E, Mongin E, et al. (2006) Anopheles gambiae immune responses to human and rodent Plasmodium parasite species. PLoS Pathog 2: e52.
- 24. Blandin S. A, Wang-Sattler R, Lamacchia M, Gagneur J, Lycett G, et al. (2009) Dissecting the genetic basis of resistance to malaria parasites in Anopheles gambiae. Science 326: 147–150.
- 25. Lehmann T, Diabate A (2008) The molecular forms of Anopheles gambiae: a phenotypic perspective. Infect Genet Evol 8: 737–746.
- 26. Hudson R. R, Kaplan N. L (1988) The coalescent process in models with selection and recombination. Genetics 120: 831–840.
- 27. Castric V, Bechsgaard J, Schierup M. H, Vekemans X (2008) Repeated adaptive introgression at a gene under multiallelic balancing selection. PLoS Genet 4: e1000168.
- 28. McDonald J. H, Kreitman M (1991) Adaptive protein evolution at the Adh locus in Drosophila. Nature 351: 652–654.
- 29. Wright S. I, Charlesworth B (2004) The HKA test revisited: a maximum-likelihood-ratio test of the standard neutral model. Genetics 168: 1071–1076.
- 30. Besansky N. J, Krzywinski J, Lehmann T, Simard F, Kern M, et al. (2003) Semipermeable species boundaries between Anopheles gambiae and Anopheles arabiensis: evidence from multilocus DNA sequence variation. Proc Natl Acad Sci U S A 100: 10818–10823.
- 31. Parmakelis A, Moustaka M, Poulakakis N, Louis C, Slotman M. A, et al. (2010) Anopheles immune genes and amino acid sites evolving under the effect of positive selection. PLoS One 5: e8885.
- 32. Kern A. D, Jones C. D, Begun D. J (2004) Molecular population genetics of male accessory gland proteins in the Drosophila simulans complex. Genetics 167: 725–735.
- 33. Lazzaro B. P (2005) Elevated polymorphism and divergence in the class C scavenger receptors of Drosophila melanogaster and D. simulans. Genetics 169: 2023–2034.
- 34. Yamaguchi-Kabata Y, Shimada M. K, Hayakawa Y, Minoshima S, Chakraborty R, et al. (2008) Distribution and effects of nonsense polymorphisms in human genes. PLoS One 3: e3393.
- 35. Coluzzi M, Sabatini A, Petrarca V, Di Deco M. A (1979) Chromosomal differentiation and adaptation to human environments in the Anopheles gambiae complex. Trans R Soc Trop Med Hyg 73: 483–497.
- 36. Powell J. R, Petrarca V, della Torre A, Caccone A, Coluzzi M (1999) Population structure, speciation, and introgression in the Anopheles gambiae complex. Parassitologia 41: 101–113.
- 37. Touré Y. T, Petrarca V, Traoré S. F, Coulibaly A, Maiga H. M, et al. (1998) The distribution and inversion polymorphism of chromosomally recognized taxa of the Anopheles gambiae complex in Mali, West Africa. Parassitologia 40: 477–511.
- 38. Maynard Smith J, Haigh J (1974) The hitch-hiking effect of a favourable gene. Genet Res 23: 23–35.
- 39. Braverman J. M, Hudson R. R, Kaplan N. L, Langley C. H, Stephan W (1995) The hitchhiking effect on the site frequency spectrum of DNA polymorphisms. Genetics 140: 783–796.
- 40. Tajima F (1989) Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123: 585–595.
- 41. Fu Y. X, Li W. H (1993) Statistical tests of the neutrality of mutations. Genetics 133: 693–709.
- 42. Zeng K, Mano S, Shi S, Wu C. I (2007) Comparisons of site- and haplotype-frequency methods for detecting positive selection. Mol Biol Evol 24: 1562–1574.
- 43. White B. J, Lawniczak M. K. L, Cheng C, Coulibaly M. B, Wilson M. D, et al. (2011) Adaptive divergence between incipient species of Anopheles gambiae increases resistance to Plasmodium. Proc Natl Acad Sci 108: 244–249.
- 44. Turner T. L, Hahn M. W, Nuzhdin S. V (2005) Genomic islands of speciation in Anopheles gambiae. PLoS Biol 3: e285.
- 45. Turner T. L, Hahn M. W (2007) Locus- and population-specific selection and differentiation between incipient species of Anopheles gambiae. Mol Biol Evol 24: 2132–2138.
- 46. Levashina E. A, Moita L. F, Blandin S, Vriend G, Lagueux M, et al. (2001) Conserved role of a complement-like protein in phagocytosis revealed by dsRNA knockout in cultured cells of the mosquito, Anopheles gambiae. Cell 104: 709–718.
- 47. Ewens W. J (1972) Sampling theory of selectively neutral alleles. Theor Pop Biol 3: 87–112.
- 48. Hudson R. R, Boos D. D, Kaplan N. L (1992) A statistical test for detecting geographic subdivision. Mol Biol Evol 9: 138–151.
- 49. Holt R. A, Subramanian G. M, Halpern A, Sutton G. G, Charlab R, et al. (2002) The genome sequence of the malaria mosquito Anopheles gambiae. Science 298: 129–149.
- 50. Favia G, Lanfrancotti A, Spanos L, Sidén-Kiamos I, Louis C (2001) Molecular characterization of ribosomal DNA polymorphisms discriminating among chromosomal forms of Anopheles gambiae s.s. Insect Mol Biol 10: 19–23.
- 51. White B. J, Santolamazza F, Kamau L, Pombi M, Grushko O, et al. (2007) Molecular karyotyping of the 2La inversion in Anopheles gambiae. Am J Trop Med Hyg 76: 334–339.
- 52. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451–1452.
- 53. Hudson R. R (2002) Generating samples under a Wright-Fisher neutral model. Bioinformatics 18: 337–338.
- 54. Hudson R. R, Slatkin M, Maddison W. P (1992) Estimation of levels of gene flow from DNA sequence data. Genetics 132: 583–589.
- 55. Kumar S, Tamura K, Nei M (2004) MEGA3: integrated software for molecular evolutionary genetics analysis and sequence alignment. Briefings in Bioinformatics 5: 150–163.