- Research article
- Open Access
Genetic diversity in two sibling species of the Anopheles punctulatus group of mosquitoes on Guadalcanal in the Solomon Islands
© Hasan et al; licensee BioMed Central Ltd. 2008
- Received: 04 September 2008
- Accepted: 24 November 2008
- Published: 24 November 2008
The mosquito Anopheles irenicus, a member of the Anopheles punctulatus group, is geographically restricted to Guadalcanal in the Solomon Islands. It shows remarkable morphological similarities to one of its sibling species, An. farauti sensu stricto (An. farauti s.s.), but is dissimilar in host and habitat preferences. To infer the genetic variations between these two species, we have analyzed mitochondrial cytochrome oxidase subunit II (COII) and nuclear ribosomal internal transcribed spacer 2 (ITS2) sequences from Guadalcanal and from one of its nearest neighbours, Malaita, in the Solomon Islands.
An. farauti s.s. was collected mostly from brackish water and by the human bait method on both islands, whereas An. irenicus was only collected from fresh water bodies on Guadalcanal Island. An. irenicus is distributed evenly with An. farauti s.s. (ΦSC = 0.033, 0.38%) and its range overlaps in three of the seven sampling sites. However, there is a significant population genetic structure between the species (ΦCT = 0.863, P < 0.01; ΦST = 0.865, P < 0.01 and FST = 0.878, P < 0.01). Phylogenetic analyses suggest that An. irenicus is a monophyletic species, not a hybrid, and is closely related to the An. farauti s.s. on Guadalcanal. The time estimator suggests that An. irenicus diverged from the ancestral An. farauti s.s. on Guadalcanal within 29,000 years before present (BP). An. farauti s.s. expanded much earlier on Malaita (texp = 24,600 BP) than the populations on Guadalcanal (texp = 16,800 BP for An. farauti s.s. and 14,000 BP for An. irenicus).
These findings suggest that An. irenicus and An. farauti s.s. are monophyletic sister species living in sympatry, and their populations on Guadalcanal have recently expanded. Consequently, the findings further suggest that An. irenicus diverged from the ancestral An. farauti s.s. on Guadalcanal.
- Markov Chain Monte Carlo
- Last Glacial Maximum
- Population Expansion
- Solomon Island
- Mismatch Distribution
Extensive sampling and genetic studies have suggested that an endemic mosquito named Anopheles irenicus resides exclusively in the northern part of Guadalcanal Island (one of the Solomon Islands), along with An. farauti sensu stricto (An. farauti s.s.), An. hinesorum, An. punctulatus and An. koliensis [1, 2]. All these mosquitoes are members of the An. punctulatus group, which was originally considered to comprise four closely related species, An. farauti Laveran, An. punctulatus Donitz, An. koliensis Owen and An. clowi Rozeboom & Knight ( and references therein). Further studies with cross-mating experiments, allozyme analysis and DNA probes finally revealed 12 sibling species within this An. punctulatus group: An. farauti s.s. Laveran (formerly An. farauti No. 1), An. hinesorum Schmidt (formerly An. farauti No. 2), An. torresiensis Schmidt (formerly An. farauti No. 3), An. farauti Nos. 4, 5, 6, An. irenicus Schmidt (formerly An. farauti No. 7), An. punctulatus Donitz, An. sp. near punctulatus, An. koliensis Owen, An. rennellensis Taylor & Maffi and An. clowi Rozeboom & Knight [3, 4]. Nevertheless, the origin and population structure of the group remain obscure because of the involvement of these complex cryptic species [2, 5].
A few striking differences between the endemic An. irenicus mosquito on Guadalcanal and one of its sibling species, An. farauti s.s., provide an excellent opportunity for investigating their genetic relationship. As mentioned earlier, An. irenicus is only found on Guadalcanal [1, 2, 4], but An. farauti s.s. is distributed from the east through New Guinea, the Bismarck Archipelago and the Solomon Islands to Vanuatu and southward into northern Australia [5, 6]. Although these two species generally breed in similar types of water bodies such as small ground pools, margins of creeks, streams and even road ruts , they do not readily share their breeding sites. An. farauti s.s. almost always breeds in brackish water, whereas even though An. irenicus shows potential tolerance of brackish water, it is always found in breeding sites containing fresh water .
The adult mosquitoes also have distinct patterns of host dependence: An. farauti s.s. is anthropophilic but An. irenicus is zoophilic  and never bites humans . Little is known about the reproduction of adult An. irenicus. In natural conditions adult An. farauti s.s. require a blood meal and oviposition usually occurs 48 to 52 hours later (Suguri et al., to be published elsewhere). Larval development in the laboratory is similarly irregular for both species, and delayed hatching of some eggs is common, resulting in the simultaneous occurrence of second instar larvae and pupae in the same rearing bowls (personal observation, ).
An. farauti s.s. and An. irenicus are morphologically nearly indistinguishable (like members of the An. gambiae complex ), but Schmidt et al.  described some subtle though definitive differences in morphological characters including the number of proepisternal setae in adults (An. farauti s.s. = 4 or more, An. irenicus = 3 or fewer), the number of branches of seta 5-V and seta 5-VI in pupae (An. farauti s.s. = 17 or fewer, An. irenicus = 18 or more), and the number of branches of seta 2-III in fourth instar larvae (An. farauti s.s. = 9 or fewer, An. irenicus = 10 or more). Schmidt et al.  therefore differentiated them taxonomically. However, some morphological variations were noted in the An. farauti s.s. collected from Australia, Papua New Guinea and the Solomon Islands . Therefore, molecular analysis is necessary to identify and study them. Allozyme electrophoresis and mitochondrial DNA (mtDNA) sequences reveal distinguishable differences [2, 5]. Moreover, Beebe et al.  showed species-specific ribosomal DNA polymorphisms by polymerase chain reaction-repeated fragment length analysis (PCR-RFLP) of ribosomal internal transcribed spacer (rITS) regions.
There have been previous studies of the distribution, habitat and morphology of An. irenicus in relation to An. farauti s.s., but less attention has been paid to their genetic variations on a finer scale. Therefore, we aimed to assess this issue using both mitochondrial (cytochrome oxidase subunit II; COII) and nuclear (ribosomal internal transcribed spacer 2; ITS2) markers. Mitochondrial DNA shows ample signatures of genomic events such as gene flow, migration, bottlenecks, speciation, hybridization and reinforcement [10–16], so it might give better information for studying current as well as historical genetic events affecting these mosquitoes [5, 16]. On the other hand, comparison of the ITS region has clarified phylogenetic relationships among many closely-related species and in the An. punctulatus group , and will potentially make a substantial contribution to inferring the evolutionary relationships of An. irenicus.
Our previous work has added some insight about the phylogeography of An. farauti s.s. in Melanesia . We have added further data from wider sampling areas of this species along with the endemic An. irenicus to shed light on genetic relationships between the species. In this study, therefore, we assessed the genetic variations between the species and particularly asked the following questions: (i) Is An. irenicus largely or completely sympatric with An. farauti s.s. on Guadalcanal? (ii) Are they monophyletic sister groups? (iii) Is there any demographic differences between them?
Variability in sequences
The 684 bp COII gene was sequenced in all 92 An. farauti s.s. and 43 An. irenicus mosquitoes collected from the Solomon Islands. From these sequences, 26 Solomon Island-specific An. farauti s.s. haplotypes (S1 – S26, [additional file 2]) and 13 An. irenicus haplotypes (I1 – I13, [additional file 2]) were isolated (accession numbers in [additional file 1]), but no haplotypes were shared between the two species. Notably, the 12 An. farauti s.s. larvae collected from fresh water showed identical haplotypes (S1 and S2) to those collected from brackish water and by human bait. Among the 26 unique An. farauti s.s. haplotypes there were 22 variable sites (eight were parsimony-informative). Within the group, the range of uncorrected pairwise sequence divergence was 0% – 0.9%. An. irenicus exhibited less genetic variability than An. farauti s.s.: among 13 unique haplotypes, 12 variable sites with three parsimony-informative sites were found and the uncorrected pairwise sequence divergence ranged from 0% to 0.06%. The highest levels of haplotype diversity (0.82 ± 0.10) and nucleotide diversity (0.003 ± 0.002) were found in the Malaita population of An. farauti s.s. An. farauti s.s. on Guadalcanal showed only a 1.13-fold greater haplotype diversity (0.75 ± 0.04) than An. irenicus (0.66 ± 0.08), and the nucleotide diversity was the same (0.002 ± 0.001).
For ITS2 markers, 19 randomly-chosen An. farauti s.s. and seven An. irenicus samples were sequenced. All An. farauti s.s. and all An. irenicus sequences were identical, resulting in a single haplotype for each species (S1 and I1 for An. farauti s.s. and An. irenicus, respectively; accession numbers in [additional file 1]). A combined alignment of the two haplotypes consists of 563 bp, of which there are substitutions at eight sites and indels at 15 sites.
Demographic analysis and divergence time
Population parameters, neutrality tests and estimate of current demographic status estimated from COII data
Hd ± SE
π ± SE
An. farauti s.s.
0.75 ± 0.04
0.002 ± 0.001
1.8 × 106
0.82 ± 0.10
0.003 ± 0.002
0.9 × 106
0.66 ± 0.08
0.002 ± 0.001
1.4 × 106
Parameters of the sudden expansion model estimated from COII data.
An. farauti s.s.
Evidence for population expansion was also inferred from the high g values assessed from LAMARC (Table 1). Therefore, we estimated the present-day effective female population sizes (Nf) from the maximum likelihood estimates of the current effective values of θ (θf). The current effective female population sizes of An. farauti s.s. (1.8 × 106) and An. irenicus (1.4 × 106) on Guadalcanal were almost twice that of An. farauti s.s. on Malaita (0.9 × 106).
The estimated time of divergence between An. irenicus and An. farauti s.s. produced by MDIV (Tdiv = 1.28) was 32,800 BP. Regarding the TMRCA, we anticipated that all the haplotypes sampled coalesced 2.15 units ago, corresponding to 55,000 BP. However, the divergence time was not estimated from ITS2 because this marker system can be influenced by homogenization among different loci within multigene DNA families (i.e. concerted evolution ).
The phylogenetic relationships among some members of the An. punctulatus group within the Australasian region were not well resolved and showed many genetically distinct lineages restricted within different geographical ranges. A detailed discussion of this Punctulatus group will be published elsewhere.
Population genetic structure and gene flow
Pairwise genetic distances and migration rates based on each site estimated from COII data
A. f. (G1)
A. f. (G2)
A. f. (G3)
A. f. (G4)
A. f. (G5)
A. f. (G6)
A. f. (M1)
A. f. (M2)
A. i. (G2)
A. i. (G4)
A. i. (G5)
A. f. (G1)
A. f. (G2)
A. f. (G3)
A. f. (G4)
A. f. (G5)
A. f. (G6)
A. f. (M1)
A. f. (M2)
A. i. (G2)
A. i. (G4)
A. i. (G5)
Our AMOVA findings were also consistent with the pairwise FST values for the combined data [additional file 5]. The An. farauti s.s. populations on Guadalcanal and Malaita and the An. irenicus population differed significantly from each other (ΦCT = 0.863) and were responsible for 86.26% of the genetic variance. Haplotypes within these three populations related to the total samples were also significantly different (ΦST = 0.865) and explained most of the remaining (13.55%) differences. However, variation among geographical ranges within each of the three populations was almost negligible (ΦSC = 0.014) and could not explain any of the variation adequately (0.20%). Subsequently, AMOVA for Guadalcanal also showed significant population structure between An. farauti s.s. and An. irenicus (ΦCT = 0.886, 88.57% and ΦST = 0.889, 11.06%) and almost no variation among geographical ranges within these two species (ΦSC = 0.033, 0.38%) [additional file 5].
Sometimes, sampling from insufficient geographical sites can lead to an erroneous inference of sympatric distributions of species that are actually more widely distributed and are sympatric only over a small part of their distribution ( but see also ). We collected An. irenicus from four of the seven sites at which it is known to occur on Guadalcanal. On the other hand, An. farauti s.s. was isolated from six sites on Guadalcanal (Tamboko 1, Tamboko 2, Tavavao, Komimbo, Koli and Sopapera). However, despite the failure to collect An. farauti s.s. from Patima and An. irenicus from Tamboko 1, Tavavao and Koli, which might indicate an error in sampling site choice, they apparently cover most of the north of Guadalcanal (Fig. 1) and thus these two species are distributed in complete sympatry within the island.
The sympatric distribution of An. farauti s.s. with An. irenicus on Guadalcanal is also apparent from the non-significant pairwise population differences (FST) in the COII sequences of their respective clusters, which simultaneously excludes geographical structure in either An. farauti s.s. or An. irenicus. Gene flow and the corresponding migration rate within the Guadalcanal populations of An. farauti s.s. were extremely high. Although Patima was excluded because of the small sample size, a similar pattern – absence of gene flow barrier with moderate to high migration rate – was also apparent in the An. irenicus populations. The AMOVA further detected the homogenous distribution of the two species, with only 0.38% molecular variance between the localities sampled on Guadalcanal [additional file 5]. Similarly, the wide distribution of the single ITS2 haplotype for both An. farauti s.s. and An. irenicus also implied the absence of a gene flow barrier within the Guadalcanal populations.
Notably, populations of An. farauti s.s. were highly differentiated at the COII locus between Guadalcanal and Malaita; however, the Sopapera population on Guadalcanal was not significantly differentiated from populations on Malaita (Table 3). It is possible that gene flow between populations on the two islands occurs across the sea gap, with Sopapera representing the nearest population receiving immigrants from Malaita. AMOVA showed that An. irenicus and An. farauti s.s. on these two islands were significantly different among groups (ΦCT = 0.863, 86.26%) as well as among populations within a group (ΦST = 0.865, 13.55%), and revealed that gene flow between the islands was restricted ([additional file 5], also in ). Moreover, it is obvious that the sea gap must have prevented the dispersal of An. irenicus from Guadalcanal to Malaita (see also [23–26]). Rather, the simplest explanation of the apparent inter-island gene flow is that the haplotypes isolated from the two Sopapera samples were both S1, which is the commonest haplotype within this region. Therefore, the presence of a single shared haplotype (S1) has nullified the genetic differentiation and no difference between the populations is apparent [additional file 2], whereas both the Guadalcanal and Malaita populations are genetically isolated per se .
The assumption of sister taxa is essentially based on two attributes: it must reflect true phylogenetic status and not the genetic similarity between more distant species that can result from hybridization . Phylogeny using mitochondrial COII data showed that An. farauti s.s. of the Solomon Islands exhibits significant differentiation from all An. farauti s.s. in other geographical regions and forms a monophyletic assemblage with An. irenicus. Our previous study showed that the genetically divergent Solomon Islands subgroup of An. farauti s.s. arose because of repeated bottlenecks and lineage sorting for adaptation during the dispersion from Papua New Guinea . Therefore, the topology reveals that An. irenicus and An. farauti s.s. truly share a common ancestry.
The sub-structuring in the phylogeny of An. farauti s.s. implied by mtDNA is well resolved in nuclear rDNA ITS2 trees, and reveals that An. farauti s.s. and An. irenicus are sister taxa. However, the haplotypes of An. farauti s.s. collapsed into a tritomy: the Solomon Islands subgroup, the Australia-Vanuatu subgroup and the Australia-Papua New Guinea subgroup. Because of the presence of this tritomy within different geographical locations, the position of the Solomon Islands haplotype in relation to other haplotypes could not be detected. However, a plausibly close relationship between An. farauti s.s. and An. irenicus on the Solomon Islands can be inferred as implied by the COII analysis, which may indicate genealogical congruence and thus can be interpreted in terms of a common origin for both species.
Regarding the second attribute (hybridization) for assuming sister taxa, a small amount of introgression or hybridization can homogenize mtDNA and make species appear closely related . The Solomon Islands are situated between Papua New Guinea and Vanuatu (Fig. 1), so the An. farauti s.s. of either Papua New Guinea or Vanuatu may have originated allopatrically, made secondary contact with the Solomon Islands population and generated a hybrid species (i.e. An. irenicus). According to this hybridization hypothesis, there will be no prezygotic isolation between An. farauti s.s. clades , so putative hybrids could be formed and viable hybrid populations would be genetically very similar to the parental An. farauti s.s. However, in this study no An. irenicus was retained with the An. farauti s.s. of Papua New Guinea or Vanuatu (FST = 0.918 and 0.902 with Papua New Guinea and Vanuatu, respectively; Table 4). Therefore, the monophyly shown by the phylogenetic trees suggests that An. irenicus is truly a near-sister species of An. farauti s.s. and not a putative hybrid [2, 4] that diverged from the ancestral An. farauti s.s. on Guadalcanal.
Divergence and expansion
Population history revealed that An. farauti s.s. dispersed from Papua New Guinea to the Solomon Islands concomitantly with human settlement during the recent Pleistocene (c. 29,000 BP; [17, 27]). Therefore, acknowledging the uncertainties in predicting divergence time , we propose that it is unlikely that An. irenicus diverged from An. farauti s.s. prior to 29,000 BP (corresponding to 348,000 generations, assuming 12 generations per year ). Indeed, this time is sufficient to develop the genetic variation required to evolve a new species under the influence of selection, because this process includes an unstable intermediate stage that must be traversed rapidly [11, 16, 29, 30]. It is beyond the scope of the current study to determine the mode of speciation of An. irenicus; further work is needed to resolve the issue.
A demographic expansion of the mosquito population is expected at approximately the same time as the host (human) population expansion . For An. farauti s.s. on Malaita, demographic analyses indicate the population expansion occurred around 24,600 BP (Table 2) and this is somewhat after the first human settlement in the Solomon Islands (c. 29,000 BP; [27, 31]). In contrast, a delayed but time-synchronized single expansion was observed for both species on Guadalcanal (16,800 BP and 14,000 BP for An. farauti s.s. and An. irenicus, respectively). The delay in population expansion on Guadalcanal might have resulted from a substantially low human (host) population on Guadalcanal. Consistent with these assumptions, anthropological history suggests that only Malaita had sizeable human populations. The other islands including Guadalcanal were inhabited by very few humans , and after the Last Glacial Maximum (LGM) human expansion occurred in the region around 3,500 to 8,000 BP . Although the human (host) population size can potentially explain the population expansion of An. farauti s.s. on both islands, the population expansion of An irenicus cannot be unambiguously explained as no census is available for its host (i.e. birds or animals), and it requires further assessment. Nevertheless, from the maximum likelihood estimates of θf, (Table 1) the effective population sizes, Nf, of An. irenicus and An. farauti s.s. on Guadalcanal were also twice as large as that of An. farauti s.s. on Malaita. In this context, we estimate the timeframe defining the initiation of divergence of An. irenicus from An. farauti s.s. (c. 29,000 BP) to its final expansion (texp = 14,000 BP) to occur during the LGM. During the LGM the sea level fell to its minimum level, which made breeding in brackish coastal regions much more difficult. It can be anticipated that unavailability of favourable breeding sites may have driven some of the ancestors to adapt to an alternative niche (i.e. large fresh water bodies), readily available only on Guadalcanal . During the non-arid deglaciation following the LGM (c. 17,000 BP ) both the sea level and the fresh water content gradually started to rise, favouring both the species that continued to oviposit on brackish water and those that started to oviposit on fresh water, and a post-LGM population expansion occurred on Guadalcanal (texp = 16,800 BP and 14,000 BP for An. farauti s.s. and A. irenicus, respectively). Considering all the aforementioned scenarios, it is not unreasonable to propose that a greater variety of new hosts and exposure to novel breeding sites may explain this larger value, notwithstanding similar growth rates (Table 1).
These findings suggest that An. irenicus and An. farauti s.s. are monophyletic sister species living in sympatry, and their populations on Guadalcanal have recently expanded. Consequently, the findings further indicate that An. irenicus diverged from the ancestral An. farauti s.s. However, knowledge of the number of genes involved in oviposition site and host choice, mating behaviour and the anthropogenic history of this region, as well as a more comprehensive approach using additional genetic markers such as microsatellites and amplified fragment length polymorphism together with wider geographical sampling, are necessary to ascertain the origin of An. irenicus on this particular island (e.g. [10, 11, 30, 33, 34]).
We collected mosquitoes from Guadalcanal and from one of its nearest neighbours among the Solomon Islands, Malaita (Figure 1, details in [additional files 1 and 2]). Mosquitoes from Malaita were sampled to achieve confidence in sister lineage assessment (e.g. [10, 11, 22]); to date, no evidence of occurrence of An. irenicus has been found on Malaita (, personal observation). Per annum rainfalls in Guadalcanal and Malaita are about 2000 mm and 3000 mm, respectively. During June to September the climate is comparatively dry in Guadalcanal (c. 92 mm per month), but in Malaita the rainfall is rarely below c. 190 mm per month. Both adults and larvae of An. farauti s.s. as well as An. irenicus larvae were caught abundantly during the wet season. The number of An. irenicus larvae declined more than those of An. farauti s.s. during the dry seasons. This was due to the drying up of fresh water habitats, whereas the brackish seawater pools remained almost unchanged, though breeding sites were occasionally washed out after heavy rainfall in both the wet and dry seasons. Therefore, mosquitoes were first collected during the wet season (January to February of 2005) and subsequently during the drier seasons (July to September of 2005 to 2007) when the condition of the breeding sites remained stable. A total of 20 water bodies from five sites on Guadalcanal, Tamboko 2 (G2), Komimbo (G4), Sopapera (G5), Koli (G6) and Patima (G7), and four from two sites on Malaita, Fiu (M1) and Mawa (M2) are described here. To avoid sampling bias, only third and fourth instar larvae were collected from at least two (maximum eight) water bodies at each site using the standard larval dipper method . Each water body was scooped by five collectors at different spots for about 5 minutes, less if larval densities were high. These sampling sites included fresh water bodies such as streams, ponds, ground pools and swamps, and brackish water bodies such as edges of creeks and water flooding the beach. Sampling was from multiple sites because siblings can result at any one breeding site owing to the oviposition of a single female. For the same reason, sites situated at a minimum distance of 300 meters were selected for sampling. Adult mosquitoes were collected by the human bait method  from Tamboko 1 and Tavavao (sites marked G1 and G3, respectively in Figure 1). Field materials were first screened morphologically as An. farauti s.l. [4, 23, 36]. They were then sealed in individual gelatin capsules, given unique identification numbers and preserved with desiccant at room temperature .
Amplification and sequencing
Total genomic DNA was extracted using a QIAamp DNA Minikit (Qiagen, K.K. Japan) following the manufacturer's instructions. Mitochondrial COII was amplified with the An. punctulatus sibling species-specific primers COII A  and COII H (5' -CCAATTAATAGGGGCTATTTGTGGG-3') in an ASTEC PC-320 thermocycler (ASTEC- Human Science, Japan). This sequence includes ATG for initiation and excludes a T-tRNA for termination . A fragment of the nuclear ribosomal ITS2 region was amplified using the primers ITS2A and ITS2B described by Beebe & Saul . In both cases the PCR products were purified on a 5% acrylamaide gel  and cycle-sequenced in both directions with corresponding PCR primers using a big dye terminator sequencing kit (Applied Biosystems). Sequences were run on an ABI prism™ 377 DNA Sequencer (Applied Biosystems). Forward and reverse strands were assembled for each individual sample in the SEQMANII version 3.6.0 (DNASTAR, Inc.) sequence editor program and a single sequence was defined.
Variability in sequences
All sequences were aligned using MEGA version 3.1 . No length differences were found in the COII alignment. The amino acid sequences were then inferred using the Drosophila mtDNA genetic code in DNASP version 4.10  to check for the presence of ambiguous stop codons. For comparison, we randomly chose 19 An. farauti s.s. and seven An. irenicus samples identified from COII sequencing. These samples were analyzed for ITS2 and included in the study. The position and length of the ITS2 sequence were also determined by comparison with published DNA sequences from GenBank.
Basic sequence statistics and various population parameters were computed using DNASP and MEGA. Genetic diversity at the intra-population level was measured in terms of haplotype diversity (Hd, ) and nucleotide diversity (π, ). Haplotypes were identified and their relative frequencies within populations were calculated using ARLEQUIN version 3.1 . For some tests we pooled each species according to geographical origin to obtain better-compiled values. Some data were reproduced with permission.
Demographic analysis and divergence time
Selective neutrality was assessed by Tajima's D  and Fu's FS  tests. Estimators related to population expansion, τ (age of expansion), θ0 and θ1 (θ before and after expansion, respectively), were computed with 95% CI in ARLEQUIN. The time of the main expansion (texp) was estimated from the equation τ = 2ûtexp (û is the substitution rate of the entire sequence estimated from û = mTμ; here, mT is the number of nucleotides in the sequence under study and μ = 0.057 substitutions per site per million years [45, 46]).
The observed number of differences between pairs of haplotypes was plotted to obtain a mismatch distribution. A population that has passed through a recent demographic expansion shows a unimodal distribution, whereas a population at equilibrium gives a multimodal distribution [19, 47]. The validity of the estimated expansion model is tested by the distribution of the sum of square deviations (SSD) between observed and expected values obtained by the parametric bootstrap approach . A significant SSD value is taken as evidence for departure from the estimated demographic model, which can be a model of either population expansion (if τ > 0 and θ1 > θ0) or a stationary population (if τ = 0 and θ1 = θ0). In addition, we computed the raggedness index (RI) of the observed distribution . This index takes larger values for the multimodal distributions typical of a stationary population than for the unimodal and smoother distributions typical of expanding populations. Significance is then tested by the parametric bootstrap approach mentioned earlier.
We used LAMARC version 2.0.2  to estimate the current demographic status of An. farauti s.s. and An. irenicus populations. The model and parameters of substitution were obtained from MODELTEST (described in next section). LAMARC uses Markov chain Monte Carlo (MCMC) sampling and takes both historical and asymmetric gene flow into account. Our estimates included the current effective population size Nf (from θf = 2Nfμ) and growth rate (g) under the exponential growth model. The parameters θf and μ represent the current estimates of θ and the neutral mutation rate per site per generation, respectively. This program was run for 10 initial chains of 10,000 steps and two final chains of 200,000 steps. To improve accuracy, we used four steps at different temperatures; one cold and three hot searches.
We used the program MDIV (, http://cbsuapps.tc.cornell.edu/mdiv.aspx) to determine divergence time (Tdiv = t1u) and the expected time of the most recent common ancestor (TMRCA = t2u) for all sequences in the samples by the MCMC method within a likelihood framework using the finite site model (Hasegawa, Kishino, Yano [HKY], ). Here u is the mutation rate per sequence per year, and t1 and t2 are, respectively, the population divergence time in years before the present (BP) and the gene coalescence time in years before the present (BP). Five runs were performed with 5,000,000 cycles each for the MCMC and a burn-in time of 10%. The value with the highest posterior probability was accepted as the best estimate.
Phylogenetic analyses of the COII and ITS2 sequences were conducted separately. Maximum parsimony (MP) and Bayesian trees were constructed for the COII region. For the COII tree, an additional 37 sequences from 32 taxa from commonly-occurring members of the genus Anopheles in the Australasian and Indo-Malayan regions were included (almost all are identified in ; [additional file 1]). We rooted the trees with Bironella hollandi and Drosophila melanogaster. Sequences were aligned using the ClustalW option of MEGA, under default parameters, and obvious alignment errors were edited by eye. The general time-reversible model with a proportion of invariable sites and a rate variation among sites following a gamma distribution (GTR+I+G; [53, 54]) was selected as the best-fit model of nucleotide substitutions for the COII dataset to use in the Bayesian analysis from MODELTEST version 3.7 . Bayesian posterior probabilities were calculated using a Metropolis-coupled Markov chain Monte Carlo (MCMC) sampling approach in MRBAYES [56, 57]. Four simultaneous chains were run for 5,000,000 generations in two independent runs with trees sampled every 100 generations. After this number of generations, the standard deviation of split frequencies dropped almost to zero (< 0.0001) indicating that the run had become stationary and a sufficient sample from the posterior probability distribution had been obtained. After a burn-in of the first 25% of trees, a consensus tree was constructed from the remaining 75,002 trees with > 50% posterior probability. The MP trees were constructed using a heuristic search (1000 random addition searches) and tree-bisection-reconstruction (TBR) branch swapping, saving 100 trees per replicate in PAUP* 4.0b10 . All trees were summarized into a strict consensus tree. One thousand bootstrap replicates were generated with the heuristic search option with 10 random additional searches per replicate. For both phylogenetic analyses, indels in alignments were considered as missing data.
It was not possible to include all species from COII for ITS2, because not all representative sequences were available in GenBank. Also, some sequences of distant taxa were too divergent from the An. punctulatus group to be aligned unambiguously. However, representative sequences from different parts of Australia, Papua New Guinea and Vanuatu for An. farauti s.s. and two different sequences for An. irenicus were available in GenBank. So the ITS2 dataset was finally constructed with 24 additional sequences (obtained from GenBank [additional file 1]) representing the An. punctulatus group, rendering An. koliensis the only outgroup. MP and Bayesian analyses were performed for ITS2 sequences to reconstruct phylogenetic trees using the same methodology as implemented for COII analysis. The Hasegawa, Kishino, Yano 85  with rate variation among sites following a gamma distribution (HKY85 + G) was found to be the best-fit model for the ITS2 data and was selected for phylogenetic analyses. Again indels in alignments were considered as missing data. These trees were outgrouped with An. koliensis [5, 7].
Population genetic structure and gene flow
The extent of short-term genetic distance and the level of gene flow between groups were estimated by pairwise FST values  and tested for significance by 110 permutations. The levels of gene flow (Nm) were estimated as an absolute number of migrants exchanged between the two populations from these FST values . In addition, divergence within population groups was estimated by an approach based on Nei & Li . Also, the population genetic structure was calculated by analyzing molecular variance (AMOVA, ) in ARLEQUIN. AMOVA takes into account the number of molecular differences between haplotypes. Statistical significance was tested by a non-parametric permutation approach . AMOVA estimates genetic variations as genetic differentiation among groups (ΦCT), among populations within groups (ΦSC) and among populations relative to total samples (ΦST).
We are grateful to the personnel who helped us to collect mosquitoes. We thank all three reviewers for insightful comments and suggestions on the manuscript. We also thank J. Friedlaender, D. Foley, J. Bryan, M. A. Hossain and N. Takezaki for their constructive suggestions on earlier versions of the manuscript. We further thank O. Matsushita for his valuable advice concerning PCR product extraction and sequencing, Y. Taniguchi for her laboratory assistance and C. Takahashi for computer support on Figures. We are grateful to all authors whose papers are cited here.
This work was supported in part by a Grant-in Aid for Scientific Research (B) [KAKENHI (174060080)] from the Ministry of Education, Culture, Sports, Science and Technology and by the Integrated Cooperative Research for Malaria Control Project founded by the Government of Japan under the Japan International Cooperation Agency Partnership Program.
- Beebe NW, Bakote'e B, Ellis JT, Cooper RD: Differential ecology of Anopheles punctulatus and three members of the Anopheles farauti complex of mosquitoes on Guadalcanal, Solomon Islands, identified by PCR-RFLP analysis. Med Vet Entomol. 2000, 14: 308-312. 10.1046/j.1365-2915.2000.00248.x.View ArticlePubMedGoogle Scholar
- Foley DH, Meek SR, Bryan JH: The Anopheles punctulatus group of mosquitoes in the Solomon Islands and Vanuatu surveyed by allozyme electrophoresis. Med Vet Entomol. 1994, 8: 340-350. 10.1111/j.1365-2915.1994.tb00098.x.View ArticlePubMedGoogle Scholar
- Cooper RD, Waterson DG, Frances SP, Beebe NW, Sweeney AW: Speciation and distribution of the members of the Anopheles punctulatus (Diptera: Culicidae) group in Papua New Guinea. J Med Entomol. 2002, 39: 16-27.View ArticlePubMedGoogle Scholar
- Schmidt ER, Foley DH, Bugoro H, Bryan JH: A morphological study of the Anopheles punctulatus group (Diptera: Culicidae) in the Solomon Islands, with a description of Anopheles (Cellia) irenicus Schmidt, sp.n. Bull Entomol Res. 2003, 93: 515-526. 10.1079/BER2003267.View ArticlePubMedGoogle Scholar
- Foley DH, Bryan JH, Yeates D, Saul A: Evolution and systematics of Anopheles: insights from a molecular phylogeny of Australasian mosquitoes. Mol Phylogenet Evol. 1998, 9: 262-275. 10.1006/mpev.1997.0457.View ArticlePubMedGoogle Scholar
- Beebe NW, Cooper RD, Foley DH, Ellis JT: Populations of the south-west Pacific malaria vector Anopheles farauti s.s. revealed by ribosomal DNA transcribed spacer polymorphisms. Heredity. 2000, 84 (Pt 2): 244-253. 10.1046/j.1365-2540.2000.00665.x.View ArticlePubMedGoogle Scholar
- Foley DH, Bryan JH: Shared salinity tolerance invalidates a test for the malaria vector Anopheles farauti s.s. on Guadalcanal, Solomon Islands [corrected]. Med Vet Entomol. 2000, 14: 450-452. 10.1046/j.1365-2915.2000.00268.x.View ArticlePubMedGoogle Scholar
- Bryan JH: Studies on the Anopheles punctulatus complex. I. Identification by proboscis morphological criteria and by cross-mating experiments. Trans R Soc Trop Med Hyg. 1973, 67: 64-69. 10.1016/0035-9203(73)90322-2.View ArticlePubMedGoogle Scholar
- Ayala FJ, Coluzzi M: Chromosome speciation: humans, Drosophila, and mosquitoes. Proc Natl Acad Sci USA. 2005, 102 (Suppl 1): 6535-6542. 10.1073/pnas.0501847102.PubMed CentralView ArticlePubMedGoogle Scholar
- Savolainen V, Anstett MC, Lexer C, Hutton I, Clarkson JJ, Norup MV, Powell MP, Springate D, Salamin N, Baker WJ: Sympatric speciation in palms on an oceanic island. Nature. 2006, 441: 210-213. 10.1038/nature04566.View ArticlePubMedGoogle Scholar
- Barluenga M, Stolting KN, Salzburger W, Muschick M, Meyer A: Sympatric speciation in Nicaraguan crater lake cichlid fish. Nature. 2006, 439: 719-723. 10.1038/nature04325.View ArticlePubMedGoogle Scholar
- Besansky NJ, Lehmann T, Fahey GT, Fontenille D, Braack LE, Hawley WA, Collins FH: Patterns of mitochondrial variation within and between African malaria vectors, Anopheles gambiae and An. arabiensis, suggest extensive gene flow. Genetics. 1997, 147: 1817-1828.PubMed CentralPubMedGoogle Scholar
- Walton C, Handley JM, Tun-Lin W, Collins FH, Harbach RE, Baimai V, Butlin RK: Population structure and population history of Anopheles dirus mosquitoes in Southeast Asia. Mol Biol Evol. 2000, 17: 962-974.View ArticlePubMedGoogle Scholar
- Jaenike J, Dyer KA, Cornish C, Minhas MS: Asymmetrical reinforcement and Wolbachia infection in Drosophila. PLoS Biol. 2006, 4: e325-10.1371/journal.pbio.0040325.PubMed CentralView ArticlePubMedGoogle Scholar
- Vallender R, Robertson RJ, Friesen VL, Lovette IJ: Complex hybridization dynamics between golden-winged and blue-winged warblers (Vermivora chrysoptera and Vermivora pinus) revealed by AFLP, microsatellite, intron and mtDNA markers. Mol Ecol. 2007, 16: 2017-2029. 10.1111/j.1365-294X.2007.03282.x.View ArticlePubMedGoogle Scholar
- Coyne JA, Orr HA: Speciation. 2004, Sunderland, Massachusetts: Sinauer Associates, IncGoogle Scholar
- Hasan AU, Suguri S, Fujimoto C, Itaki RL, Harada M, Kawabata M, Bugoro H, Albino B, Tsukahara T, Hombhanje F, Masta A: Phylogeography and dispersion pattern of Anopheles farauti senso stricto mosquitoes in Melanesia. Mol Phylogenet Evol. 2008, 46: 792-800. 10.1016/j.ympev.2007.09.018.View ArticlePubMedGoogle Scholar
- Diegisser T, Seitz A, Johannesen J: Phylogeographic patterns of host-race evolution in Tephritis conura (Diptera: Tephritidae). Mol Ecol. 2006, 15: 681-694. 10.1111/j.1365-294X.2006.02792.x.View ArticlePubMedGoogle Scholar
- Rogers AR, Harpending H: Population growth makes waves in the distribution of pairwise genetic differences. Mol Biol Evol. 1992, 9: 552-569.PubMedGoogle Scholar
- Ray N, Currat M, Excoffier L: Intra-deme molecular diversity in spatially expanding populations. Mol Biol Evol. 2003, 20: 76-86. 10.1093/molbev/msg009.View ArticlePubMedGoogle Scholar
- Koch MA, Dobes C, Mitchell-Olds T: Multiple hybrid formation in natural populations: concerted evolution of the internal transcribed spacer of nuclear ribosomal DNA (ITS) in North American Arabis divaricarpa (Brassicaceae). Mol Biol Evol. 2003, 20: 338-350. 10.1093/molbev/msg046.View ArticlePubMedGoogle Scholar
- Jordal BH, Emerson BC, Hewitt GM: Apparent 'sympatric' speciation in ecologically similar herbivorous beetles facilitated by multiple colonizations of an island. Mol Ecol. 2006, 15: 2935-2947.View ArticlePubMedGoogle Scholar
- Belkin JN: The mosquitoes of the South Pacific (Diptera, Culicidae). 1962, University of California Press, BerkeleyGoogle Scholar
- Cleere N, Kratter AW, Steadman DW, Braun MJ, Huddleston CJ, Filardi CE, Dutson G: A new genus of frogmouth (Podargidae) from the Solomon Islands – results from a taxonomic review of Podargus ocellatus inexpectatus Hartert 1901. Ibis. 2007, 149: 271-286. 10.1111/j.1474-919X.2006.00626.x.View ArticleGoogle Scholar
- Mayr E, Diamond J: The birds of northern Melanesia. 2001, Oxford: Oxford University PressGoogle Scholar
- Pulvers JN, Colgan DJ: Molecular phylogeography of the fruit bat genus Melonycteris in northern Melanesia. J Biogeogr. 2007, 34: 713-723. 10.1111/j.1365-2699.2006.01634.x.View ArticleGoogle Scholar
- Matisoo-Smith E, Robins JH: Origins and dispersals of Pacific peoples: evidence from mtDNA phylogenies of the Pacific rat. Proc Natl Acad Sci USA. 2004, 101: 9167-9172. 10.1073/pnas.0403120101.PubMed CentralView ArticlePubMedGoogle Scholar
- Hasegawa M, Thorne JL, Kishino H: Time scale of eutherian evolution estimated without assuming a constant rate of molecular evolution. Genes Genet Syst. 2003, 78: 267-283. 10.1266/ggs.78.267.View ArticlePubMedGoogle Scholar
- Gavrilets S, Vose A: Dynamic patterns of adaptive radiation. Proc Natl Acad Sci USA. 2005, 102: 18040-18045. 10.1073/pnas.0506330102.PubMed CentralView ArticlePubMedGoogle Scholar
- Gavrilets S: Fitness Landscapes and the Origin of Species. 2004, Princeton, New Jersey: Princeton University PressGoogle Scholar
- Friedlaender JS, Friedlaender FR, Hodgson JA, Stoltz M, Koki G, Horvat G, Zhadanov S, Schurr TG, Merriwether DA: Melanesian mtDNA complexity. PLoS ONE. 2007, 2: e248-10.1371/journal.pone.0000248.PubMed CentralView ArticlePubMedGoogle Scholar
- Lambeck K, Chappell J: Sea level change through the last glacial cycle. Science. 2001, 292: 679-686. 10.1126/science.1059549.View ArticlePubMedGoogle Scholar
- Gavrilets S, Vose A: Case studies and mathematical models of ecological speciation. 2. Palms on an oceanic island. Mol Ecol. 2007, 16: 2910-2921. 10.1111/j.1365-294X.2007.03304.x.View ArticlePubMedGoogle Scholar
- Gavrilets S, Vose A, Barluenga M, Salzburger W, Meyer A: Case studies and mathematical models of ecological speciation. 1. Cichlids in a crater lake. Mol Ecol. 2007, 16: 2893-2909. 10.1111/j.1365-294X.2007.03305.x.View ArticlePubMedGoogle Scholar
- O'Malley C: Seven ways to a successful dipping career. Wing Beats. 1995, 6: 23-24.Google Scholar
- Belkin JN, Knight KL, Rozeboom LE: Anopheles mosquitoes of the Solomon Islands and New Hebrides. J Parasitol. 1945, 31: 241-265. 10.2307/3273001.View ArticleGoogle Scholar
- Beebe NW, Saul A: Discrimination of all members of the Anopheles punctulatus complex by polymerase chain reaction–restriction fragment length polymorphism analysis. Am J Trop Med Hyg. 1995, 53: 478-481.PubMedGoogle Scholar
- Maxam AM, Gilbert W: A new method for sequencing DNA. Proc Natl Acad Sci USA. 1977, 74: 560-564. 10.1073/pnas.74.2.560.PubMed CentralView ArticlePubMedGoogle Scholar
- Kumar S, Tamura K, Nei M: MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment. Brief Bioinform. 2004, 5: 150-163. 10.1093/bib/5.2.150.View ArticlePubMedGoogle Scholar
- Rozas J, Sanchez-DelBarrio JC, Messeguer X, Rozas R: DnaSP, DNA polymorphism analyses by the coalescent and other methods. Bioinformatics. 2003, 19: 2496-2497. 10.1093/bioinformatics/btg359.View ArticlePubMedGoogle Scholar
- Nei M: Molecular evolutionary genetics. 1987, NY, USA: Colombia University PressGoogle Scholar
- Excoffier L, Laval G, Schneider S: Arlequin ver. 3.0: An integrated software package for population genetics data analysis. Evol Bioinform Online. 2005, 1: 47-50.PubMed CentralGoogle Scholar
- Tajima F: Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics. 1989, 123: 585-595.PubMed CentralPubMedGoogle Scholar
- Fu YX: Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics. 1997, 147: 915-925.PubMed CentralPubMedGoogle Scholar
- Tamura K: The rate and pattern of nucleotide substitution in Drosophila mitochondrial DNA. Mol Biol Evol. 1992, 9: 814-825.PubMedGoogle Scholar
- Michel AP, Grushko O, Guelbeogo WM, Sagnon N, Costantini C, Besansky NJ: Effective population size of Anopheles funestus chromosomal forms in Burkina Faso. Malar J. 2006, 5: 115-10.1186/1475-2875-5-115.PubMed CentralView ArticlePubMedGoogle Scholar
- Li WH: Distribution of nucleotide differences between two randomly chosen cistrons in a finite population. Genetics. 1977, 85: 331-337.PubMed CentralPubMedGoogle Scholar
- Excoffier L, Schneider S: Why hunter-gatherer populations do not show signs of pleistocene demographic expansions. Proc Natl Acad Sci USA. 1999, 96: 10597-10602. 10.1073/pnas.96.19.10597.PubMed CentralView ArticlePubMedGoogle Scholar
- Harpending HC: Signature of ancient population growth in a low-resolution mitochondrial DNA mismatch distribution. Hum Biol. 1994, 66: 591-600.PubMedGoogle Scholar
- Kuhner MK, Yamato J, Beerli P, Smith LP, Rynes E, Walkup E, Li C, Sloan J, Colacurcio P, Felsenstein J: LAMARC v 2.0. 2005, University of WashingtonGoogle Scholar
- Nielsen R, Wakeley J: Distinguishing migration from isolation: a Markov chain Monte Carlo approach. Genetics. 2001, 158: 885-896.PubMed CentralPubMedGoogle Scholar
- Hasegawa M, Kishino H, Yano T: Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol. 1985, 22: 160-174. 10.1007/BF02101694.View ArticlePubMedGoogle Scholar
- Rodriguez F, Oliver JL, Marin A, Medina JR: The general stochastic model of nucleotide substitution. J Theor Biol. 1990, 142: 485-501. 10.1016/S0022-5193(05)80104-3.View ArticlePubMedGoogle Scholar
- Yang Z: Among-site rate variation and its impact on phylogenetic analyses. Trends Ecol Evol. 1996, 11: 367-372. 10.1016/0169-5347(96)10041-0.View ArticlePubMedGoogle Scholar
- Posada D, Crandall KA: MODELTEST: testing the model of DNA substitution. Bioinformatics. 1998, 14: 817-818. 10.1093/bioinformatics/14.9.817.View ArticlePubMedGoogle Scholar
- Huelsenbeck JP, Ronquist F: MRBAYES: Bayesian inference of phylogenetic trees. Bioinformatics. 2001, 17: 754-755. 10.1093/bioinformatics/17.8.754.View ArticlePubMedGoogle Scholar
- Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.View ArticlePubMedGoogle Scholar
- Swofford DL: PAUP*. Phylogenetic Analysis Using Parsimony (*and Other Methods). Version 4. 1998, Sunderland, Massachusetts.: Sinauer AssociatesGoogle Scholar
- Slatkin M: A measure of population subdivision based on microsatellite allele frequencies. Genetics. 1995, 139: 457-462.PubMed CentralPubMedGoogle Scholar
- Wright S: The genetic structure of populations. Ann Eugen. 1951, 15: 323-354.View ArticlePubMedGoogle Scholar
- Nei M, Li WH: Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci USA. 1979, 76: 5269-5273. 10.1073/pnas.76.10.5269.PubMed CentralView ArticlePubMedGoogle Scholar
- Excoffier L, Smouse PE, Quattro JM: Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics. 1992, 131: 479-491.PubMed CentralPubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.