Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

A Snail Perspective on the Biogeography of Sulawesi, Indonesia: Origin and Intra-Island Dispersal of the Viviparous Freshwater Gastropod Tylomelania

Abstract

The complex geological history of the Indonesian island Sulawesi has shaped the origin and subsequent diversification of its taxa. For the endemic freshwater snail Tylomelania a vicariant origin from the Australian margin has been hypothesized. Divergence time estimates from a mtDNA phylogeny based on a comprehensive island-wide sampling of Tylomelania fit regional tectonic constraints and support the ‘out-of-Australia’ vicariance hypothesis. The Banggai-Sula region of the Sula Spur, the Australian promontory colliding with West Sulawesi during the Miocene, is identified as a possible source area for the colonization of Sulawesi by the ancestor of Tylomelania. The molecular phylogeny also shows a rapid diversification of Tylomelania into eight major lineages with very little overlap in their distribution on the island. Haplotype networks provide further evidence for a strong spatial structure of genetic diversity in Tylomelania. Distribution boundaries of the major lineages do at best partially coincide with previously identified contact zones for other endemic species groups on Sulawesi. This pattern has likely been influenced by the poor dispersal capabilities and altitudinal distribution limits of this strict freshwater inhabitant. We suggest that late Miocene and Pliocene orogeny in large parts of Sulawesi has been the vicariant event driving primary diversification in Tylomelania.

Introduction

The Indonesian island Sulawesi lies at the heart of the Indo-Australian Archipelago (IAA), one of the world's most species-rich areas and arguably the one with the most complex geography and geology [1]. The largely insular nature of the region sets it apart from the other major tropical rainforest areas [2]. While the entire IAA is essentially the product of continental collisions since the Paleozoic [3], the eastern part of the archipelago has its origin in the ongoing collision between Asia and Australia since the early Miocene [4]. An ancient continental core in the West that has been emergent since the Mesozoic – comprising Indochina and Sundaland – is thus sharply set apart from an area of predominantly young (Miocene to Pleistocene) oceanic islands including Sulawesi in the East bordered by the Australian continental margin [5]. The changes in the paleogeography of the IAA have left a strong signature in the distribution of the region's fauna and flora. Several faunal boundaries, including the famous ‘Wallace Line’ [6], were proposed to account for the observation that the western or eastern distribution limits of many animal groups are located within the oceanic island region of the IAA (see e.g., [7]). The transitional region Wallacea, which comprises all islands between the Sunda and Australian shelves, was proposed as one attempt to avoid the designation of a single faunal boundary [8]. While the concept of a transitional zone was quickly shown to be inadequate in itself [7], [9], the name Wallacea has stuck for the Indonesian part of this oceanic island assemblage [1], [10] and was also used to circumscribe one of SE Asia's four biodiversity hotspots [11], characterized by its unique, yet highly threatened biotic diversity. The fauna of the Wallacean islands is generally characteristic of oceanic islands [12], e.g., being “disharmonic”, i.e., depauperate at a higher taxonomic level, and having a high proportion of endemic species [9], [13].

Sulawesi stands out among the islands of Wallacea due to its size, different geological history and higher faunal diversity [14]. The geographic origin of Sulawesi's fauna and the mode of colonization of the island are still disputed to some degree even 150 years after the first proposal of the Wallace Line [15], [16]. One reason for the controversy lies in the fact that Sulawesi, in contrast to most of the other islands in Wallacea, is not truly oceanic, but a composite island at the centre of the Asia-Australia collision zone. Parts of the island were formerly attached to either the Asian or Australian continental margin and separated from these areas by vicariant processes (for details see [16]). In the West, the opening of the Makassar Strait separated West Sulawesi from Sundaland in the Eocene c. 45 Mya [4]. In the East, the traditional view of collisions of multiple micro-continental fragments sliced from New Guinea with an active volcanic margin in West Sulawesi at different times since the Early Miocene c. 20 Mya [17], [18] has recently been replaced by the assumption of extensional fragmentation following a single Miocene collision of the Sula Spur with West Sulawesi [4], [16], [19]. However, the revised geological hypothesis does not alter the theoretical possibility to invoke vicariance-based hypotheses for an origin of taxa on Sulawesi from either Asia or Australia [16].

The predominantly Asian origin of the island's biota has been recognized for a long time and has during the last two decades gained support from molecular phylogenetic studies involving taxa from across the Wallace line (see reviews by [1] and [20]). The recent dating of the colonization of Sulawesi in 20 non-marine animal groups by a molecular clock approach has shown that Miocene to Pleistocene dispersal to the island from Asia (Sundaland, Philippines) is the most likely mechanism for the origin of the vast majority of Sulawesi taxa [16]. However, an origin of Sulawesi taxa from both Asia and Australia (including New Guinea) through vicariant processes could not be ruled out in some instances, e.g., from Asia for mite harvestmen [21] or from Australia for pachychilid freshwater snails [22], atherinimorph fishes [23], and phalangerids [24].

Among the three taxa with an Australian origin, the pachychilid gastropods likely represent the strongest case for a vicariance scenario as the likelihood for dispersal in these strictly freshwater-dwelling animals seems extremely low. On Sulawesi, the group is solely represented by the endemic genus Tylomelania Sarasin & Sarasin, 1897 [25]. Pseudopotamis Martens, 1894, restricted to two of the North Australian Torres Strait islands, has been consistently identified as the sister group of Tylomelania [22], [26][28]. Both taxa are ovoviviparous and share the synapomorphy of a pallial oviduct modified into an uterine brood pouch releasing comparatively large and shelled juveniles [25]. Brooding in freshwater snails is generally regarded as being associated with a low dispersal potential [29], [30] which renders transoceanic dispersal across a distance of c. 2,000 km between Sulawesi and the Torres Strait Islands unlikely. This has prompted a hypothesis of vicariance through ‘terrane rafting’ from the north Australian margin [22], [25]. Again, the recent replacement of the concept of terrane rafting by the assumption of extensional fragmentation has not altered the basic premise of this hypothesis (see [16]). While the study of [16] has demonstrated that the estimated timing of the split between Tylomelania and Pseudopotamis is consistent with the geological data under the ‘out-of-Australia’ vicariance hypothesis, only a single sequence each from two species of Tylomelania was included.

As a result of its complex geological history (compare above), Sulawesi is geographically highly structured, primarily through its subdivision into the four arms constituting its k-shape. In addition, various mountain ranges, mostly resulting from the amalgamation of its constituent fragments in the Miocene [5], and some low-lying areas (e.g., Tempe and Gorontalo depressions) inundated during sea-level highstands act as potential barriers to dispersal across the island. This is reflected in the distribution patterns of species on Sulawesi, which exhibit strong geographic structuring in all taxa examined where sampling coverage across the island is sufficiently dense [31][37]. For some taxa, the phylogeographic breaks or contact zones, respectively, were found to be largely congruent, suggesting a strong role for habitat fragmentation in the diversification of Sulawesi taxa [31], [33]. For freshwater organisms, respective comparative data are still lacking, as most research has focused on the endemic aquatic radiations in the ancient lakes of Sulawesi (see review in [38]). Tylomelania should serve as a good model to trace the effect of historic vicariant barriers as the animals are not only restricted to freshwater, but their present-day distribution suggests that they are not capable of occurring at an altitude of more than about 700 m and they are only found near the coast where rivers or streams are directly descending from nearby mountains, or in karstic outcrops (pers. observation 1999–2011).

Consequently, we here study the phylogeography of Tylomelania based on samples from across its entire distribution range on Sulawesi to address questions pertaining to the origin of the taxon on Sulawesi and its subsequent diversification on the island. Specifically, we attempt to identify an area of origin on Sulawesi from the sequence of splits within Tylomelania and to link patterns of intra-island differentiation to Sulawesi's geology and topography. In addition, we discuss our data in comparison with those derived from other taxa that are widely distributed on Sulawesi, such as toads [31], [33], macaques [31], [39], fanged frogs [32], and tarsiers [40].

Materials and Methods

Ethics statement

Sampling at two localities in South Sulawesi within Bantimurung-Bulusaraung N.P. was done by RMM (co-author of this MS) from LIPI or N.P. staff, respectively, and given to the Research Center of Biology as the central biodiversity repository in Indonesia. The samples used in this study were given on loan and subsequently partly donated to Museum für Naturkunde by LIPI. All other sampling locations are outside of national parks or other protected areas and sampling required no permission in addition to the research permit(s) issued by LIPI or RISTEK as the responsible authorities in Indonesia. The field studies did not involve endangered or protected species. Detailed locality information is provided in Table S1.

Material

Samples from 191 sites comprising 1,170 individuals of 62 species including 26 undescribed morphospecies (species delimitations are based on shell and radula characters that have been shown to be effective in distinguishing sympatric species in Tylomelania from the lakes of Sulawesi [41]) were collected across the entire distribution range of Tylomelania on Sulawesi (Figure 1, Table S1). Permits for conducting fieldwork were issued by LIPI (1999–2007) and RISTEK (from 2008) as the responsible authorities in Indonesia. All material has been preserved in 70–95% ethanol. Voucher specimens employed in this study are deposited in the Malacological Department and DNA samples are stored in the central DNA collection of the Museum of Natural History, Berlin (ZMB). Locality details and both museum and GenBank accession numbers for all sequenced animals are provided in Tables S1 & S2.

thumbnail
Figure 1. Distribution and molecular phylogeny of Tylomelania.

A. Distribution area of Tylomelania (red) and its sister taxon Pseudopotamis (blue circle) on Sulawesi and the Torres Strait Islands, respectively. B. Map of Sulawesi with sample sites of Tylomelania. Black dot – sample sequenced for this study; white dot – museum sample. C. BI phylogram and shells of selected species of Tylomelania. Phylogeny based on 1,528 bp of mtDNA (COI and 16S). Numbers on branches show node support; BI posterior probability (top), ML (centre), and MP (bottom) bootstrap values. Colour code as in panel A.

https://doi.org/10.1371/journal.pone.0098917.g001

Molecular methods

For the phylogeny, two mitochondrial gene fragments, a ∼890 bp region of the 16S ribosomal RNA gene (16S) and a 710 bp fragment (the so-called DNA barcoding fragment) of the Cytochrome Oxidase subunit I gene (COI) were sequenced in 160 specimens of Tylomelania using methods and primers described previously [42], [43]. The dataset was complemented by published sequences of both genes from 42 individuals [42]. Sequences of the two species of Pseudopotamis from the North Australian Torres Strait Islands were used as outgroup as suggested by previous studies [22], [26], [27]. COI was sequenced from an additional 968 specimens for the haplotype networks.

Phylogenetic analyses

Orthologous DNA sequences were aligned by eye (COI) and with MUSCLE (16S; webserver) [44]. The MUSCLE alignment was corrected manually for unambiguous algorithm-specific errors. Following alignment, the 202 sequences obtained for each gene were reduced to unique haplotypes (Table S1) using DAMBE 5.066 [45]. The aligned sequence sets of COI (660 bp, 127 sequences; Figure S1) and 16S (868 bp, 136 sequences; Figure S2) were analyzed separately and combined into a single concatenated alignment of 157 sequences (1,528 bp; Figure 1).

Maximum Parsimony (MP) analyses were performed with PAUP*4.0b010 [46]; bootstrap replicates = 10,000; gaps were treated as fifth state). For Bayesian Inference (BI) analyses, the appropriate models of sequence evolution (HKY+G for COI and GTR+I+G for 16S) were determined using jModelTest 0.1.1 [47] both based on the Akaike Information Criterion and the Bayesian Information Criterion. The two genes were set as partitions in the concatenated dataset and analyses run with the model specified for each partition separately: ML with RAxML BlackBox [48] using GTR+G and 100 bootstrap replicates, and BI with MrBayes 3.1.2 [49]; ngen = 5,000,000 for single-gene datasets, and 10,000,000 for the combined dataset; samplefreq = 100/200; burnin = 35,001). For comparison, trees based on analysis of the separate datasets are provided as (Figures S1 and S2).

Molecular clock analyses

A reduced COI dataset (N = 26) was tested for nucleotide substitution saturation using the test by [50] in DAMBE showing no significant saturation for COI. Strict and uncorrelated lognormal relaxed clock analyses were performed in BEAST v. 1.7.3 [51]; GTR+I+G; Yule process; ngen = 50,000,000; log = 1,000; burnin = 35,001) using a substitution rate of 1.76%/My as suggested by [52] for several freshwater taxa including gastropods. Fossils were not available for calibration. Log files of both runs were subjected to a Bayes factor analysis as implemented in Tracer 1.5 [53] resulting in a small value of 0.212 slightly supporting the strict clock analysis.

Haplotype networks

The complete COI dataset (1,170 sequences) was reduced to 233 unique haplotypes (Figures S3 and S4, Table S2) using DnaSP v. 5.10.01 [54]. Haplotype networks were calculated from these haplotypes using TCS v. 1.2.1 [55] using the 95% parsimony criterion.

Results

Phylogeny of Tylomelania

The molecular phylogeny based on MP, ML and BI analyses of the concatenated mtDNA dataset (COI and 16S) reveals eight major lineages (six clades and two distinct haplotypes) of Tylomelania on Sulawesi (Figures 13; Table 1). The monophyly of the six clades is supported by Bayesian Posterior Probabilities (BPP)>0.9, while only four have a MP and ML bootstrap support >80%. The splitting sequence of the eight lineages is not supported at all in the MrBayes topology (BPP<0.9; Figures 1 and 3) and only partially in the BEAST topology (Figure 2). Separate analyses for COI and 16S yielded essentially the same topology (Figures S1 and S2), differing only in the level of support for the major lineages. The eight major lineages are quite distinct, with an inter-lineage genetic distance range of 5.2–12.1% (COI) and 2.6–8.4% (16S), respectively (Table 2). A strong geographic pattern is evident in the distribution of the lineages of Tylomelania, with no to limited overlap in their distribution ranges (Figures 2 and 3). Three clades (1,3,4 – ‘red’, ‘blue’, and ‘green’ in Figures 2 and 3) are more widely distributed in East Central Sulawesi (clade 1), South-South West, South Central, and Southeast Sulawesi (clade 3), and Southwest Sulawesi (clade 4). All other lineages are confined to comparatively small regions.

thumbnail
Figure 2. Calibrated phylogeny of Tylomelania and the tectonic history of Sulawesi.

A. Bayesian (BEAST) chronogram of Tylomelania based on 660 bp of mtDNA (COI) using a substitution rate of 1.76%/My (see Material and methods). The major lineages of Tylomelania are colour-coded. The pink horizontal bars link the events associated with nodes 1 (TMRCA of Tylomelania and Pseudopotamis) and 2 (first speciation event within Tylomelania) with the geological timescale and paleogeography of Sulawesi (panel C). B. Map of Sulawesi with major tectonic subdivisions (compare panel C) and the distribution of the major lineages of Tylomelania (colour-coding of areas corresponds to major lineages in panel A). C. Schematic summary of the geographic connections and the timing of separation or collision of the different parts of Sulawesi (see map in panel B). Blue tinting indicates presumably submerged areas, see legend for details. Modified from [16]. D,E. Paleogeographic reconstructions of the Asia-Australia collision zone 5 Mya and 20 Mya. Modified from [56].

https://doi.org/10.1371/journal.pone.0098917.g002

thumbnail
Figure 3. Distribution of the major lineages and haplotype groups of Tylomelania on Sulawesi.

A. Sulawesi map with assignment of sampling sites (small red dots) to haplotype groups (pie charts, haplotype group specific colour code as in panel B). Haplotype group diversity for sites in close geographic vicinity has been subsumed within a single pie chart. Numbers within pie charts are sequenced individuals. Bluish areas indicate the position of contact zones for macaque species on Sulawesi (from [31]). Red frames show the position of the two contact zones of Tylomelania clades. B. BI phylogram based on tree shown in Figure 1, all clades with a BPP of >0.90 are shown as cartoons. Colours correspond to those used in Figure 2 and the circles with roman numbers indicate haplotype groups within each lineage (see Figure S1).

https://doi.org/10.1371/journal.pone.0098917.g003

thumbnail
Table 1. Intra- and inter-lineage genetic distances (p-distance) in Tylomelania.

https://doi.org/10.1371/journal.pone.0098917.t001

thumbnail
Table 2. Estimated maximum mean node ages from the strict clock analysis for COI (see Figure 2).

https://doi.org/10.1371/journal.pone.0098917.t002

The two basal lineages of Tylomelania (forming sister groups in the BEAST analysis, Figure 2) both occur on the easternmost Luwuk peninsula of the eastern arm of Sulawesi. The relationship of these two lineages to each other is not supported (BPP<0.7) in either BI analysis (Figures 1 and 2), though.

Divergence time estimates

The results of the BEAST strict molecular clock analysis (Figure 2A, Table 2) suggest that the split between Tylomelania from Sulawesi and Pseudopotamis from the North Australian Torres Strait Islands occurred in the mid Miocene c. 19.5 Mya (Figure 2, Table 2, node 1) and the first diversification event on Sulawesi at the Miocene-Pliocene transition c. 5.4 Mya (Figure 2, Table 2, node 2). This basal split between the Luwuk peninsula lineage(s) and the rest of Tylomelania is followed by the subsequent diversification of the latter lineage into the major clades of Tylomelania in the mid to late Pliocene (c. 4-3 Mya).

Spatial genetic diversity within Tylomelania

The TCS analyses yielded 26 distinct parsimony haplotype networks under a 95% confidence interval cut-off threshold (Table 3 and Table S1). Matching these haplotype networks to the major clades or lineages, respectively, obtained in the analysis of the concatenated dataset reveals a strong geographic structure in the genetic diversity of Tylomelania below the level of the major clades as well (Figure 3). In two areas in Southwest Sulawesi and in Central Sulawesi, two each of the three largest clades in terms of known distribution area (clade 1,3,4; red, blue and green in Figures 2 and 3) of Tylomelania overlap and haplotypes from both respective clades are found within a single population.

thumbnail
Table 3. Haplotype networks (groups) of Tylomelania with lineage assignment and intra-network genetic distance range (p-distance) for COI.

https://doi.org/10.1371/journal.pone.0098917.t003

Discussion

The origin of Tylomelania on Sulawesi

The results of this study are compatible with the ‘out-of-Australia’ vicariance hypothesis for the origin of Tylomelania on Sulawesi [16], [22], [25]. The split of Tylomelania and Pseudopotamis (c. 19.5 Mya) matches or predates the separation of the Sula Spur from mainland New Guinea at 18-13 Mya (Figure 2, horizontal red bar marked ‘I’) and the first split within Tylomelania (c. 5.4 Mya) on Sulawesi matches or postdates the fusion of the different parts of Sulawesi at 10-6 Mya (Figure 2, horizontal red bar marked ‘II’).

Our results are largely in line with those from [16], who suggested an older age of 30.5 Mya (95% HPD: 42-20 Mya) for the split of Tylomelania and Pseudopotamis and a slightly younger age of c. 4.7 Mya (95% HPD: 7.8-1.9 Mya) for the first diversification event within Tylomelania. The congruence (considering the wide overlap in 95% HPD) between the results of both studies seems remarkable given that the dates from [16] were based on a much smaller sequence dataset for Tylomelania (from [27]) and a different marker (16S).

As pointed out by [16], there is a major conflict between the biological evidence as interpreted under the vicariance scenario and the distribution of land according to the geology-based paleogeographic reconstructions of the Sula Spur area during the Miocene (see e.g., Figure 2 and [5]). However, given the difficulties of recovering evidence for land in a region of small islands [56], we would follow [16] in arguing that the biological data might actually constitute harder evidence in this case. Under the vicariance scenario, the c. 15 My gap between the split of Tylomelania from Pseudopotamis and the first diversification event within Tylomelania could be explained by the restriction of the ancestral lineage of Tylomelania to a small and fluctuating distribution area on the Sula spur prior to the expansion of its distribution range on Sulawesi. These Sula Spur populations have most likely become extinct, as extensive searches on the Banggai (Banggai, Peleng; 2005, 2008) and Sula islands (Taliabu, Mangole, Sanana; 2008, 2013) were not successful.

One aim of this study has been to attempt to identify the region of Sulawesi that was initially colonized by the ancestors of Tylomelania by looking at the island-wide phylogeography of the taxon. The topology of the molecular phylogeny (Figures 13) suggests that the basal split within Tylomelania occurred between populations on the easternmost Luwuk peninsula and the rest of the island. The Luwuk peninsula is a fusion zone between East Sulawesi and the westernmost part of the Banggai-Sula fragment, both of which formed part of the Sula Spur (see Figure 2D,E). The amalgamation process of Sulawesi in the wake of the Sula Spur collision with West Sulawesi is poorly understood [5], but the Banggai-Sula fragment apparently became connected rather late in the late Miocene/early Pliocene to the core of present day Sulawesi, in contrast to parts of East Central and Southeast Sulawesi as borne out by evidence for land there since the Miocene [5]. Against this background, it is tempting to speculate that Sulawesi was colonized by the ancestor of Tylomelania from the Banggai-Sula area, particularly given the timing of the split between the lineages of Tylomelania from the Luwuk peninsula lineages and the remainder of the island, which at c. 5.4 Mya nicely matches the fusion of that part of the island to the rest of Sulawesi in the late Miocene-early Pliocene [57]. The topology of the BI tree as reconstructed with MrBayes (Figure 1) with a paraphyletic position of Luwuk peninsula Tylomelania relative to all other species would support this notion. However, the relationship of the Luwuk lineages to each other is not resolved and if the sister group relationship suggested in the BEAST analysis (Figure 2) should be correct rather than the topology derived from the MrBayes analyses (Figure 1), the assumption of an early isolation of a population on the eastern arm of Sulawesi would be an equally parsimonious alternative interpretation of that topology. Further progress on this issue will likely depend on filling the sampling gap between Central Sulawesi and the Luwuk peninsula on the Eastern peninsula.

The geography of diversification on Sulawesi

The major lineages of Tylomelania on Sulawesi show a largely allo- or parapatric distribution (Figures 2 and 3), while with one exception each lineage has a continuous distribution area. The most widely distributed clade 3 (Figures 2 and 3, blue) occurs in three apparently disjunct areas in Southwest, Central and Southeast Sulawesi. The distribution of this clade overlaps with that of the other two widespread clades 1 and 4 (Figures 2 and 3, red and green) in South-Southwest Sulawesi and Central Sulawesi, respectively (Figure 3, red frames). The fact that haplotypes assigned to different clades are found among individuals within the same population (same sampling site within a 10–100 m stretch of stream or river, same morphospecies) suggests mitochondrial introgression in these contact zones. Given the distinctness of the mtDNA lineages involved (COI p-distance range between each of the three lineages: 5.6–11.1%), this is somewhat surprising. The lack of data from nuclear markers prevents an in-depth discussion at present, but the apparent absence of morphological hybrids might indicate that the introgression between the lineages is not a recent phenomenon. Different haplotypes are also found among individuals of a single and morphologically uniform population at the level of haplotype groups (separate networks under the 95% cut-off threshold) within the same clade (Figure 3). At the other extreme of the spectrum, the same haplotype can be shared among morphologically different and sympatrically occurring species in several localities (see e.g., haplotypes 1 or 2 from Southwest Sulawesi in Table S2). Without nuclear data, the cause for these phenomena – e.g., hybridization vs. incomplete lineage sorting (see e.g., [58] for possible causes of genetic discordance at the species level) – must remain speculative.

The strong geographic structure of genetic diversity in Tylomelania might be explained by various factors such as habitat fragmentation in the widest sense (e.g., vicariance through the rise of mountains or the formation of sea barriers), the development of ecological barriers, isolation by distance, or most likely a combination of these. If habitat fragmentation would be the predominant factor in shaping the distribution of the major lineages in Tylomelania, a strong correlation of lineage-specific distribution boundaries with geographic barriers irrespective of distance would be expected. While seemingly trivial, this concept can be hard to test, as today's barriers to dispersal may be very different from those in the past. This is particularly true for Tylomelania on Sulawesi, as the diversification into major lineages took place in the Pliocene and coincides with the onset of pronounced orogeny in many parts of Sulawesi [5]. The same is essentially true for ecological factors, such as climate, vegetation etc. However, Tylomelania has rather uniform ecological preferences with the notable exception of the species flocks in the ancient lakes of Sulawesi [38], [59], [60]. The homogenous morphology of the rasping tongue (radula), which is indicative of substrate in Tylomelania, reflects this [59], [60]. Thus, it does not seem very likely that ecological fragmentation has been a major factor in shaping distribution patterns. As geological vicariance will not just affect single taxa but a wide range of organisms, the search for congruent distribution patterns among unrelated taxa is a promising approach to identify such common barriers and a pivotal principle of comparative phylogeography and biogeography (see e.g., [61], [62]). On Sulawesi, the species or subspecies of many non-flying terrestrial and limnic taxa that were sampled across the island or larger parts are distributed parapatrically or allopatrically (see [31] for an overview). Molecular data are only available for a few widely sampled taxa from Sulawesi to date, though. Based on the spatial structure of genetic diversity in Celebes toads (Bufo celebensis) and macaques (Macaca spp.), [31] suggested that their contact zones were congruent and likely reflect habitat fragmentation by physical barriers.

While this interpretation of their data was questioned and isolation by distance proposed as an alternative hypothesis [63], coalescent analyses support the original habitat fragmentation scenario [33]. Similar patterns were observed in the fanged frog Limnonectes spp. [32], while Chitaura grasshoppers show at least partly deviant patterns [35] and Lamprolepis skinks show a very different North-South pattern [37]. The primary diversification events of these taxa took place from the earliest Pliocene (fanged frogs) through the middle Pliocene (macaques, grasshoppers) to the late Pliocene/Pleistocene (Celebes toads) [16]. Assuming that these estimates are correct (see [16] for some dating issues), the time of the primary speciation events on Sulawesi does not seem to play a major role in determining the congruence of contact zones or areas of endemism. The split into the major lineages of Tylomelania is hypothesized to have occurred in the mid Pliocene (Figure 2A) and does match the general timeframe of diversification of the taxa investigated so far. However, neither the distribution of the major lineages of Tylomelania nor of the constituent haplotype groups seems to be universally constrained by the barriers associated with the six macaque contact zones [31] (Figure 3). While the distribution boundaries of Tylomelania clades apparently match three of these, two other contact zones, across the north-central part of the Southwest peninsula and the northern part of the Southeast peninsula of the island, do not form a barrier for the three clades of Tylomelania (1,3,4) whose distribution extends across them. This suggests a partial fit of areas of endemism (at different taxonomic levels, though: species groups (lineages) in Tylomelania and species or subspecies in macaques or toads) of Tylomelania and the other taxa, for which an explanation might be sought through looking at potential differences in the nature (e.g., age) of the respective barriers. However, the sampling of Tylomelania is only sufficiently dense, i.e., including samples from the contact zone and both adjoining areas, to make a firm statement for the two contact zones at the southern arms of Sulawesi where these is a mismatch between areas of endemism. More samples will be needed to confirm that the three contact zones running across the eastern arm of Sulawesi, at the ‘neck’ just North of Central Sulawesi, and Gorontalo Depression (Figure 3) also form effective barriers for Tylomelania. Given that the timing of diversification is not fundamentally different in Tylomelania, other factors must play a role in causing any mismatch. Tylomelania is a strict freshwater dweller with apparent altitudinal distribution limits (see Introduction). This seems to be reflected in the distribution boundaries of the major clades, which are frequently formed by mountain ranges (Figure 3). The contact zones between clade 3 (Figures 2 and 3, blue) and clades 1 and 4 (Figures 2 and 3, red and green) do fit this hypothesis, as both contact zones are situated in areas where the topography is conducive to the – presumably secondary – contact of these clades. As a caveat, this interpretation is based on present-day topography. However, the orogeny of these mountain barriers most likely set in during the (early) Pliocene [5] and the bisection of formerly continuous drainages might have occurred practically instantly on a geological time scale.

A serious objection to a strict vicariant hypothesis correlated to orogeny arises from the obvious gaps in our data through insufficient sampling in some regions of Sulawesi, most notably in West Central Sulawesi and along the Eastern arm, but to a lesser degree also in Southeast Sulawesi and along the ‘neck’ of the island (Tylomelania does not occur in North Sulawesi East of the Gorontalo depression). The disjunct distribution of clade 3 (Figures 2 and 3, blue), e.g., is most likely a sampling artefact. At the same time and irrespective of sampling issues, the seemingly odd distribution of clade 3 around the Gulf of Bone could have an easy explanation through the recurrent Pleistocene sea-level drops, which increased the land area in the Gulf of Bone considerably [64].

To date, Tylomelania is the only freshwater taxon from Sulawesi with an island-wide sampling. It will be interesting to see whether our results are corroborated by ongoing studies on other freshwater taxa, such as several groups of gastropods, fishes, atyid shrimps and geocarcinid crabs (M. Glaubrecht, F. Herder, K. von Rintelen & C. Schubart, pers. comm.).

Conclusions

Our molecular divergence time estimates are compatible with the tectonic framework for Sulawesi and thus provide further support for an ‘out-of-Australia’ vicariance scenario proposed for Tylomelania [16], [22], [25]. We also tentatively suggest that the ancestor of Tylomelania may have colonized the island from the Sula Spur region of Banggai-Sula, when its western part was fused to the rest of Sulawesi at the Miocene-Pliocene transition. The spatial distribution of genetic diversity as evidenced in Tylomelania does at best partially fit the pattern found in several other animal (terrestrial) groups such as macaques, toads or fanged frogs. The primary diversification of Tylomelania on Sulawesi into eight major lineages subsequent to the colonization of the island might have been shaped through vicariant events related to the orogeny of the island. Secondary contact between some clades is confined to two restricted areas and has resulted in mitochondrial introgression. These hypotheses could be tested by the future addition of nuclear markers and the sampling of crucial intermediate regions between the known distribution areas of the major lineages of Tylomelania.

Supporting Information

Figure S1.

Molecular phylogeny of Tylomelania based on COI only (BI phylogram); see text for details. Numbers on branches show node support; BI posterior probability (top), ML (centre), and MP (bottom) bootstrap values. Colours for clades correspond to those used in Figure 3.

https://doi.org/10.1371/journal.pone.0098917.s001

(EPS)

Figure S2.

Molecular phylogeny of Tylomelania based on 16S only (BI phylogram); see text for details. Numbers on branches show node support; BI posterior probability (top), ML (centre), and MP (bottom) bootstrap values. Colours for clades correspond to those used in Figure 3.

https://doi.org/10.1371/journal.pone.0098917.s002

(EPS)

Figure S3.

Haplotype networks for COI (part 1); see text for details. Colours for clades correspond to those used in Figure 3.

https://doi.org/10.1371/journal.pone.0098917.s003

(EPS)

Figure S4.

Haplotype networks for COI (part 2); see text for details. Colours for clades correspond to those used in Figure 3.

https://doi.org/10.1371/journal.pone.0098917.s004

(EPS)

Table S1.

List of sequenced specimens and sample provenience. The numbers listed under ZMB. Moll are the accession numbers of the malacological collection in the Museum für Naturkunde Berlin. This table lists all localities but only shows the accession numbers for sequences used for the tree reconstructions (Figures 13, S1, S2). Accession numbers for sequences that were only used for the computation of the haplotype networks (Fig. 3, S3, S4) are provided in Table S2, the respective samples are indicated by ‘HN’ in the COI sequence accession no. column. The letters in the haplotypes columns (A…Z, a…k) indicate specimens sharing the same haplotype, and bold type indicates the specimen shown in the tree(s). 1 = COI, 2 = 16S, 3 = concatenated dataset. All samples/sequences without an entry in the source column have been sequenced for this study.

https://doi.org/10.1371/journal.pone.0098917.s005

(DOC)

Table S2.

Haplotypes of Tylomelania (see Figures S3 & S4) and their assignment to species and museum vouchers. The numbers listed under ZMB Moll. are the museum accession numbers of the malacological collection of the Museum für Naturkunde Berlin and provide a link to the sample locality information in Table S1. GenBank accession numbers (for each haplotype) are for the specimen indicated in brackets.

https://doi.org/10.1371/journal.pone.0098917.s006

(DOC)

Acknowledgments

LIPI (Indonesian Institute of Sciences) and RISTEK (Indonesian State Ministry of Research and Technology) kindly issued the permits to conduct research in Indonesia. We thank Kristina Leinhoβ (Berlin, Germany) for performing the haplotype network analyses.

Author Contributions

Conceived and designed the experiments: TvR MG. Performed the experiments: TvR BS. Analyzed the data: BS. Contributed reagents/materials/analysis tools: RM MG. Wrote the paper: TvR.

References

  1. 1. Lohman DJ, de Bruyn M, Page T, von Rintelen K, Hall R, et al. (2011) Biogeography of the Indo-Australian archipelago. Annu Rev Ecol Evol Syst 42: 205–226.
  2. 2. Morley RJ (2000) Origin and evolution of tropical rain forests. Chichester: John Wiley & Sons.
  3. 3. Metcalfe I (2011) Palaeozoic-Mesozoic history of SE Asia. In: Hall R, Cottam MA, Wilson MEJ, editors. The Southeast Asian Gateway: history and tectonics of Australia-Asia collision. London: The Geological Society of London, Vol. 355. pp. 7–35.
  4. 4. Hall R (2011) Australia-SE Asia collision: plate tectonics and crustal flow. In: Hall R, Cottam MA, Wilson MEJ, editors. The Southeast Asian Gateway: history and tectonics of Australia-Asia collision. London: The Geological Society of London, Vol. 355. pp. 75–109.
  5. 5. Hall R (2012) Sundaland and Wallacea: geology, plate tectonics and palaeogeography. In: Gower DJ, Johnson KG, Richardson JE, Rosen BR, Rüber L, et al.., editors. Biotic evolution and environmental change in Southeast Asia. Cambridge: Cambridge University Press. pp. 32–78.
  6. 6. Wallace AR (1860) On the zoological geography of the Malay Archipelago. J Proc Linn Soc 4: 172–184.
  7. 7. Simpson GG (1977) Too many lines; the limits of the Oriental and Australian zoogeographic regions. Proc Am Philos Soc 121: 107–120.
  8. 8. Dickerson RE (1928) Distribution of Life in the Philippines. Manila: Bureau of Sciences.
  9. 9. Mayr E (1944) Wallace's line in the light of recent zoogeographic studies. Q Rev Biol 19: 1–14.
  10. 10. Cox CB (2001) The biogeographic regions reconsidered. J Biogeogr 28: 511–523.
  11. 11. Myers N, Mittermeier RA, Mittermeier CG, da Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403: 853–858.
  12. 12. Whittaker RJ, Fernández-Palacios JM (2007) Island biogeography. Ecology, evolution, and conservation. Oxford: Oxford University Press.
  13. 13. Keast A (2001) The vertebrate fauna of the Wallacean Island Interchange Zone: the basis of inbalance and impoverishment. In: Metcalfe I, Smith JMB, Morwood M, Davidson, I. editors. Faunal and floral migrations and evolution in SE Asia-Australasia. Lisse: Balkema. pp. 287–310.
  14. 14. Whitten AJ, Mustafa M, Henderson GS (2002) The ecology of Sulawesi. Singapore: Periplus.
  15. 15. Michaux B (2010) Biogeology of Wallacea: geotectonic models, areas of endemism, and natural biogeographic units. Biol J Linn Soc 101: 193–212.
  16. 16. Stelbrink B, Albrecht C, Hall R, von Rintelen T (2012) The biogeography of Sulawesi revisited: is there evidence for a vicariant origin of taxa on Wallace's “anomalous island”? Evolution 66: 2252–2271.
  17. 17. Burrett C, Duhig N, Berry R, Varne R (1991) Asian and South-western Pacific continental terranes derived from Gondwana, and their biogeographic significance. Aust Syst Bot 4: 13–24.
  18. 18. Wilson MEJ, Moss SJ (1999) Cenozoic palaeogeographic evolution of Sulawesi and Borneo. Palaeogeogr Palaeoclimatol Palaeoecol 145: 303–337.
  19. 19. Spakman W, Hall R (2010) Surface deformation and slab-mantle interaction during Banda arc subduction rollback. Nat Geosci 3: 562–566.
  20. 20. de Bruyn M, von Rintelen T, von Rintelen K, Mather PB, Carvalho GR (2012) Molecular biogeography and phylogeography of the freshwater fauna of the Indo-Australian Archipelago. In: Gower DJ, Johnson KG, Richardson JE, Rosen BR, Rüber L, et al.., editors. Biotic evolution and environmental change in Southeast Asia. Cambridge University Press. pp. 316–346.
  21. 21. Clouse RM, Giribet G (2010) When Thailand was an island - the phylogeny and biogeography of mite harvestmen (Opiliones, Cyphophthalmi, Stylocellidae) in Southeast Asia. J Biogeogr 37: 1114–1130.
  22. 22. Glaubrecht M, von Rintelen T (2003) Systematics, molecular genetics and historical zoogeography of the viviparous freshwater gastropod Pseudopotamis (Cerithioidea, Pachychilidae): a relic on the Torres Strait Islands, Australia. Zool Scr 32: 415–435.
  23. 23. Sparks JS, Smith WL (2004) Phylogeny and biogeography of the Malagasy and Australasian rainbowfishes (Teleostei: Melanotaenioidei): Gondwanan vicariance and evolution in freshwater. Mol Phylogenet Evol 33: 719–734.
  24. 24. Ruedas LA, Morales JC (2005) Evolutionary relationships among genera of Phalangeridae (Metatheria: Diprotodontia) inferred from mitochondrial DNA. J Mammal 86: 353–365.
  25. 25. von Rintelen T, Glaubrecht M (2005) Anatomy of an adaptive radiation: a unique reproductive strategy in the endemic freshwater gastropod Tylomelania (Cerithioidea: Pachychilidae) on Sulawesi, Indonesia and its biogeographical implications. Biol J Linn Soc 85: 513–542.
  26. 26. Köhler F, von Rintelen T, Meyer A, Glaubrecht M (2004) Multiple origin of viviparity in Southeast Asian gastropods (Cerithoidea: Pachychilidae) and its evolutionary implications. Evolution 58: 2215–2226.
  27. 27. Köhler F, Glaubrecht M (2010) Uncovering an overlooked radiation: molecular phylogeny and biogeography of Madagascar's endemic river snails (Caenogastropoda: Pachychilidae: Madagasikara gen. nov.). Biol J Linn Soc 99: 867–894.
  28. 28. Köhler F, Dames C (2009) Phylogeny and systematics of the Pachychilidae of mainland Southeast Asia - novel insights from morphology and mitochondrial DNA (Mollusca, Caenogastropoda, Cerithioidea). Zool J Linn Soc 157: 679–699.
  29. 29. Cohen AS, Johnston MR (1987) Speciation in brooding and poorly dispersing lacustrine organisms. Palaios 2: 426–435.
  30. 30. Glaubrecht M (1996) Evolutionsökologie und Systematik am Beispiel von Süβ- und Brackwasserschnecken (Mollusca: Caenogastropoda: Cerithioidea): Ontogenese-Strategien, paläontologische Befunde und historische Zoogeographie. Leiden: Backhuys.
  31. 31. Evans BJ, Supriatna J, Andayani N, Setiadi MI, Cannatella DC, et al. (2003) Monkeys and toads define areas of endemism on Sulawesi. Evolution 57: 1436–1443.
  32. 32. Setiadi MI, McGuire Ja, Brown RM, Zubairi M, Iskandar DT, et al. (2011) Adaptive radiation and ecological opportunity in Sulawesi and Philippine fanged frog (Limnonectes) communities. Am Nat 178: 221–240.
  33. 33. Evans BJ, McGuire JA, Brown RM, Andayani N, Supriatna J (2008) A coalescent framework for comparing alternative models of population structure with genetic data: evolution of Celebes toads. Biol Lett 4: 430–433.
  34. 34. Evans BJ, Morales JC, Supriatna J, Melnick DJ (1999) Origin of the Sulawesi macaques (Cercopithecidae, Macaca) as inferred from a mitochondrial DNA phylogeny. Biol J Linn Soc 66: 539–560.
  35. 35. Bridle JR, Garn AK, Monk KA, Butlin RK (2001) Speciation in Chitaura grasshoppers (Acrididae: Oxyinae) on the island of Sulawesi: colour patterns, morphology and contact zones. Biol J Linn Soc 72: 373–390.
  36. 36. Butlin RK, Walton C, Monk KA, Bridle JR, Hall R, et al.. (1998) Biogeography of Sulawesi grasshoppers, genus Chitaura, using DNA sequence data. In: Hall R, Holloway D, editors. Biogeography and Geological Evolution of SE Asia. Leiden: Backhuys Publishers. pp. 355–359.
  37. 37. Linkem CW, Brown RM, Siler CD, Evans BJ, Austin CC, et al. (2013) Stochastic faunal exchanges drive diversification in widespread Wallacean and Pacific island lizards (Squamata: Scincidae: Lamprolepis smaragdina). J Biogeogr 40: 507–520.
  38. 38. von Rintelen T, von Rintelen K, Glaubrecht M, Schubart CD, Herder F (2012) Aquatic biodiversity hotspots in Wallacea: the species flocks in the ancient lakes of Sulawesi, Indonesia. Biotic evolution and environmental change in Southeast Asia. pp. 290–315.
  39. 39. Evans BJ, Supriatna J, Andayani N, Melnick DJ (2003) Diversification of Sulawesi macaque monkeys: decoupled evolution of mitochondrial and autosomal DNA. Evolution 57: 1931–1946.
  40. 40. Merker S, Driller C, Perwitasari-Farajallah D, Pamungkas J, Zischler H (2009) Elucidating geological and biological processes underlying the diversification of Sulawesi tarsiers. Proc Natl Acad Sci USA 106: 8459–8464.
  41. 41. von Rintelen T, Bouchet P, Glaubrecht M (2007) Ancient lakes as hotspots of diversity: a morphological review of an endemic species flock of Tylomelania (Caenogastropoda: Cerithioidea: Pachychilidae) in the Malili lake system on Sulawesi, Indonesia. Hydrobiologia 592: 11–94.
  42. 42. von Rintelen T, Wilson AB, Meyer A, Glaubrecht M (2004) Escalation and trophic specialization drive adaptive radiation of viviparous freshwater gastropods in the ancient lakes on Sulawesi, Indonesia. Proc R Soc London B 271: 2541–2549.
  43. 43. von Rintelen T, Glaubrecht M (2008) Three new species of the freshwater snail genus Tylomelania (Caenogastropoda: Pachychilidae) from the Malili lake system, Sulawesi, Indonesia. Zootaxa 1852: 37–49.
  44. 44. Edgar RC (2004) MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5: 113.
  45. 45. Xia X, Xie Z (2001) DAMBE: Data analysis in molecular biology and evolution. J Hered 92: 371–373.
  46. 46. Swofford DL (2002) PAUP* (version 4.0). Phylogenetic analysis using parsimony (*and other methods).
  47. 47. Posada D (2008) jModelTest: phylogenetic model averaging. Mol Biol Evol 25: 1253–1256.
  48. 48. Stamatakis A, Hoover P, Rougemont J (2008) A rapid bootstrap algorithm for the RAxML web servers. Syst Biol 57: 758–771.
  49. 49. Ronquist F, Huelsenbeck JP (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574.
  50. 50. Xia X, Xie Z, Salemi M, Chen L, Wang Y (2003) An index of substitution saturation and its application. Mol Phylogenet Evol 26: 1–7.
  51. 51. Drummond AJ, Rambaut A (2007) BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol 7: 214.
  52. 52. Wilke T, Schultheiβ R, Albrecht C (2009) As time goes by: a simple fool's guide to molecular clock approaches in invertebrates. Am Malacol Bull 27: 25–45.
  53. 53. Tracer website. Available: http://tree.bio.ed.ac.uk/software/tracer. Accessed 2014 Apr 12.
  54. 54. Librado P, Rozas J (2009) DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25: 1451–1452.
  55. 55. Clement M, Posada D, Crandall KA (2000) TCS: a computer program to estimate gene genealogies. Mol Ecol 9: 1657–1659.
  56. 56. Hall R (2009) Southeast Asia's changing palaeogeography. Blumea 54: 148–161.
  57. 57. Garrard RA, Supandjono JB, Surono (1988) The geology of the Banggai-Sula microcontinent, eastern Indonesia. Proc Indones Pet Assoc 17th Annual: 23–52.
  58. 58. Funk DJ, Omland KE (2003) Species-level paraphyly and polyphyly: frequency, causes, and consequences, with insights from animal mitochondrial DNA. Annu Rev Ecol Syst 34: 397–423.
  59. 59. Glaubrecht M, von Rintelen T (2008) The species flocks of lacustrine gastropods: Tylomelania on Sulawesi as models in speciation and adaptive radiation. Hydrobiologia 615: 181–199.
  60. 60. von Rintelen T, von Rintelen K, Glaubrecht M (2010) The species flocks of the viviparous freshwater gastropod Tylomelania (Mollusca: Cerithioidea: Pachychilidae) in the ancient lakes of Sulawesi, Indonesia: the role of geography, trophic morphology and color as driving forces in adaptive radiation. In: Glaubrecht M, editor. Evolution in Action. Berlin: Springer. pp. 485–512.
  61. 61. Arbogast BS, Kenagy GJ (2001) Comparative phylogeography as an integrative approach to historical biogeography. J Biogeogr 28: 819–825.
  62. 62. Avise JC (2004) Molecular markers, natural history and evolution.Sunderland, Mass.: Sinauer.
  63. 63. Bridle JR, Pedro PM, Butlin RK (2004) Habitat fragmentation and biodiversity: testing for the evolutionary effects of refugia. Evolution 58: 1394–1396.
  64. 64. Sathiamurthy E, Voris HK (2006) Maps of Holocene sea level transgression and submerged lakes on the Sunda Shelf. Nat Hist J Chulalongkorn Univ (Suppl. 2) 1–44.