Research Article

Genetic Divergence across Habitats in the Widespread Coral Seriatopora hystrix and Its Associated Symbiodinium

  • Pim Bongaerts mail,

    Affiliations: Global Change Institute, The University of Queensland, St Lucia, Queensland, Australia, Centre for Marine Studies, The University of Queensland, St Lucia, Queensland, Australia, ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia

  • Cynthia Riginos,

    Affiliation: School of Biological Sciences, The University of Queensland, St Lucia, Queensland, Australia

  • Tyrone Ridgway,

    Affiliations: Centre for Marine Studies, The University of Queensland, St Lucia, Queensland, Australia, Climate Change Group, Great Barrier Reef Marine Park Authority, Townsville, Queensland, Australia

  • Eugenia M. Sampayo,

    Affiliations: Centre for Marine Studies, The University of Queensland, St Lucia, Queensland, Australia, ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia, Department of Biology, The Pennsylvania State University, University Park, Pennsylvania, United States of America

  • Madeleine J. H. van Oppen,

    Affiliations: Australian Institute of Marine Science, Townsville, Queensland, Australia, ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland, Australia

  • Norbert Englebert,

    Affiliation: Centre for Marine Studies, The University of Queensland, St Lucia, Queensland, Australia

  • Francisca Vermeulen,

    Affiliations: Centre for Marine Studies, The University of Queensland, St Lucia, Queensland, Australia, School of Biological Sciences, Victoria University of Wellington, Wellington, New Zealand

  • Ove Hoegh-Guldberg

    Affiliations: Global Change Institute, The University of Queensland, St Lucia, Queensland, Australia, ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland, Australia

  • Published: May 27, 2010
  • DOI: 10.1371/journal.pone.0010871



Coral reefs are hotspots of biodiversity, yet processes of diversification in these ecosystems are poorly understood. The environmental heterogeneity of coral reef environments could be an important contributor to diversification, however, evidence supporting ecological speciation in corals is sparse. Here, we present data from a widespread coral species that reveals a strong association of host and symbiont lineages with specific habitats, consistent with distinct, sympatric gene pools that are maintained through ecologically-based selection.

Methodology/Principal Findings

Populations of a common brooding coral, Seriatopora hystrix, were sampled from three adjacent reef habitats (spanning a ~30 m depth range) at three locations on the Great Barrier Reef (n = 336). The populations were assessed for genetic structure using a combination of mitochondrial (putative control region) and nuclear (three microsatellites) markers for the coral host, and the ITS2 region of the ribosomal DNA for the algal symbionts (Symbiodinium). Our results show concordant genetic partitioning of both the coral host and its symbionts across the different habitats, independent of sampling location.


This study demonstrates that coral populations and their associated symbionts can be highly structured across habitats on a single reef. Coral populations from adjacent habitats were found to be genetically isolated from each other, whereas genetic similarity was maintained across similar habitat types at different locations. The most parsimonious explanation for the observed genetic partitioning across habitats is that adaptation to the local environment has caused ecological divergence of distinct genetic groups within S. hystrix.


The tropical marine realm harbors an incredible array of species, with coral reef ecosystems being the iconic epitome of this diversity. Classically, this diversity has been explained through allopatric models of speciation, in which reproductive isolation arises through the physical separation of populations [1]. However, speciation has also been demonstrated to occur sympatrically or parapatrically, where divergence originates in the absence of physical barriers and is driven by ecological sources of divergent selection (i.e. selection occurring in opposing directions) (reviewed in [2]). A classic marine example of incipient speciation in sympatry is that of the intertidal snail Littorina saxatilis comprising genetically distinct ecotypes (with different shell morphologies), which are partitioned over a gradient of tidal height [3][5]. Eventually, divergent selection can lead to complete reproductive isolation (i.e. ecological speciation), either as a by-product of divergent selection (via linkage disequilibrium [6]), or directly when the genes involved in reproductive isolation are under ecologically-based divergent selection (via pleiotropy [2]). Over the past decade, ecological speciation has been suggested as an explanation for the diversification of various terrestrial and freshwater taxa [7][12], yet only three examples have been proposed for tropical reef organisms: wrasses of the genus Halichoeres [13], sponges of the genus Chondrilla, [14], [15]), and the scleractinian coral Favia fragum [16].

Ecological diversification can arise through various sources of divergent selection (reviewed in [2]), including sexual selection (e.g. selection on mate recognition traits) and ecological interactions (e.g. interspecific competition). However, divergent selection between distinct environments is probably the best understood cause of ecological speciation [2] and has been proposed as a major contributing factor to the diversification of species in environmentally heterogeneous ecosystems such as tropical rainforests [7]. Coral reefs provide a similarly heterogeneous environment, with large variability in abiotic factors such as light [17], temperature [18], nutrient variability, and wave action [19], [20] between locations and also across depths at a single location. Although such environmental variability may favor a certain degree of plasticity [21], there is also the potential for locally adapted “ecotypes” to evolve through divergent selection [22]. Surprisingly, little is known about genetic structuring of coral reef populations across distinct habitats [23] and the potential role of environmental heterogeneity in species diversification.

Numerous observations indicate that ecological diversification may be important in coral evolution. Firstly, there are many examples where closely related, sympatric species occupy only part of the available habitat, i.e. they occupy a distinct environmental niche [24][26]. The Caribbean coral genus Madracis provides a good example in point; it consists of six closely related morpho-species [27], each of which has a distinct depth-distribution [28]. Other examples of closely related species exhibiting similar habitat partitioning are members of the genus Agaricia [29], [30], the Montastraea annularis species complex [31], [32], and the acroporids, Acropora palifera and A. cuneata [33], [34]. Secondly, on an intra-specific level, there are several observations suggestive of local adaptation (reviewed in [35]), such as local dominance of certain genets [36], [37] and variation between populations in thermal tolerance [38], and natural disease resistance [39]. Thirdly, many studies have observed cryptic diversity (e.g., in the genera Seriatopora [40], [41], Pocillopora [42], and Porites [43]) and genetic differentiation over small spatial scales in the absence of physical barriers (e.g., in population genetics studies on Seriatopora [44], [45]). Despite these lines of evidence, the specific hypothesis of ecological diversification remains largely untested for corals. Most genetic assessments have focused on concordance of observed patterns with morphology or geography rather than physiological characteristics or habitat. Exceptions are the studies by Carlon and Budd [16], which established that morpho-types of the coral F. fragum are genetically distinct and partitioned over a small depth gradient (~3 m), and Ayre et al. [46], which demonstrated that a proportion (16%) of the genetic variability of Seriatopora hystrix within reefs could be explained by distributions among five shallow reef habitats (reef slope, reef crest, reef flat, lagoon, and back reef).

Habitat partitioning and ecological diversification have also been observed for the photosymbiotic partners (Symbiodinium) of scleractinian corals. Various coral species harbor distinct depth-specific symbiont types across their distribution range (e.g. [47][49]). Despite this apparent flexibility to associate with various symbiont types over depth [50], the coral-algal symbiosis is generally characterized by a high degree of host-symbiont specificity [51], in that coral species usually only associate with certain types of Symbiodinium and vice versa. This specificity is especially apparent in corals with a vertical symbiont transmission strategy, in which symbionts are passed directly from the maternal colony to the offspring [52][54]. Thus, corals with vertical symbiont transmission are most likely to codiversify with their algal symbionts but this process is poorly understood since studies considering both host and symbiont identity with a fine-scale genetic resolution are rare [53].

The scleractinian coral S. hystrix represents an ideal candidate to examine processes of ecological diversification and local adaptation in corals, as it occurs in most habitats [55], and is geographically widespread [26]. S. hystrix exhibits a brooding reproductive strategy and vertically transmits associated Symbiodinium. Furthermore, S. hystrix has been the subject of several genetic studies [44][46], [56][60], with previous allozyme work indicating that genetic structuring of the coral host may occur among shallow habitats [46]. Here, we specifically test the extent of genetic structuring over a large depth range for both symbiotic partners, and evaluate genetic differentiation between the same habitat types at different locations. Focusing on three adjacent, environmentally distinct habitats (spanning a depth range of ~30 m) at three locations (Yonge Reef, Day Reef and Lizard Island; Figure 1) on the northern Great Barrier Reef, we used a combination of mitochondrial (putative control region) and nuclear (microsatellites) markers for the host, and the ITS2 region of the nuclear ribosomal DNA for Symbiodinium to assess genetic differentiation. Results indicate that adjacent habitats within a single reef can be genetically isolated from each other, whereas genetic similarity is maintained between the same habitat types at different locations. The strong partitioning of both host and symbiont lineages occurs between directly adjacent habitats in the absence of physical dispersal barriers, and thus provides a compelling case for divergence due to ecologically-based divergent selection.


Figure 1. Sample design and locations.

(A) Map showing the geographic location of the study area on the northern Great Barrier Reef; (B) the reef locations within the study area; and (C) the different habitats sampled.



Strong genetic structuring of both coral host and the associated Symbiodinium was observed across the different reef habitats (‘Back Reef’ ~2 m, ‘Upper Slope’ ~6 m and ‘Deep Slope’ ~27 m) and the results were consistent across all investigated loci. In contrast, little to no genetic divergence was found between similar habitats of Yonge Reef and Day Reef, positioned at the edge of the continental shelf on the GBR, and Lizard Island, located mid-shelf (Figures 1, 2). Additionally, there was strong coupling of host and symbiont genotypes (Figures 2, 3).


Figure 2. Diversity and distribution of host genotypes (mtDNA) and symbiont lineages (ITS2) across the three habitats and locations.

Symbols refer to individual coral colonies, with the symbol shape indicating host genotype and symbol color indicating symbiont genotype. Shaded boxes group the different habitats at a reef locality.


Figure 3. Phylogenetic trees of Seriatopora hystrix and associated Symbiodinium lineages.

(A) Phylogenetic tree (maximum likelihood) of S. hystrix mitochondrial haplotypes, with Seriatopora caliendrum and Pocillopora damicornis as outgroups. Bootstrap values (in italics) are based on Bayesian analyses and ML respectively, with only probabilities over 50% shown. The shaded box groups the various S. hystrix haplotypes observed in this study. The ‘HostU’ and ‘HostD1’ haplotypes match with previously obtained Genbank sequences. (B) Unrooted phylogenetic tree (maximum parsimony) of the five distinct Symbiodinium types. Colors group ITS2 sequences belonging to a single Symbiodinium type (for example Symbiodinium type C120 contains only the ITS2 sequence C120 while Symbiodnium C120a contains both the C120 and C120a sequence within its genome). Bootstrap values higher than 50% are shown in italics.


Coral host - mtDNA

Analyses of the putative control region of the coral mtDNA indicated strong genetic partitioning between the three different habitat types. In contrast, there was no differentiation among the same habitat types at different locations (Figure 2). The mtDNA region (557–608 bp) contained 10 variable sites as well as an indel, defining a total of 5 different haplotypes (Figures 2, 3; GenBank HM159623-HM159958). All colonies from the ‘Back Reef’ habitat at Yonge Reef, Day Reef, and Lizard Island shared a single host mtDNA haplotype, ‘HostB’ (n = 144). All colonies from the ‘Upper Slope’ habitat at Yonge Reef and Day Reef shared a single host mtDNA haplotype, ‘HostU’ (n = 96), that differed from the ‘Back Reef’ haplotype ‘HostB’ by 4 substitutions. The ‘Deep Slope’ habitat harbored three additional mtDNA haplotypes: ‘HostD1’ (n = 62), ‘HostD2’ (n = 22) and ‘HostD3’ (n = 3); as well as a few ‘HostU’ genotypes (n = 9). The genotypic community structure was significantly different (Two-Way ANOSIM; habitat nested within location) between habitat types (R = 0.804; p = 0.001), but not reef locations. Under the AMOVA framework, 83% (ΦHAB-TOT = 0.832; p = 0.01) of molecular variance was explained by habitat, and only 2% by location (ΦLOC-HAB = 0.129; p = 0.01).

Phylogenetic analyses (MP and Bayesian analyses) of the putative control region, using Seriatopora caliendrum (Genbank EF633600) and Pocillopora damicornis (Genbank NC009797) as outgroups, supported the monophyly of S. hystrix with high bootstrap support (Figure 3). The S. hystrix ‘HostD2’ genotype represents the most likely ancestor of the five mtDNA genotypes (95% Bayesian posterior probability; MP bootstrap support of 55%; Figure 3). The other three genotypes are more recently diverged with a distinct lineage grouping the ‘HostU’ and ‘HostD1’ genotypes separately from the ‘HostB’ and ‘HostD3’ genotypes (98% Bayesian posterior probability; MP bootstrap support of 54%; Figure 3). The shallow host genotype ‘HostU’ contained a 51 bp tandem repeat (excluded from the phylogenetic analysis), and was identical to previously obtained S. hystrix sequences from Taiwan and the South China Sea [41] (Genbank EF633596-EF633599, EF633584-EF633589) as well as Okinawa [40] (‘Cluster 2’; Genbank EU622164-EU622165) (note that for the reference sequences no habitat information was available). Additionally, the deep host haplotype ‘HostD1’ was identical to observed haplotypes of S. hystrix collected from depths between ~7–40 m around New Caledonia [40] (‘Cluster 1’; Genbank EU622134, EU622151, EU622159- EU622163). Despite the genetic differences among the five haplotypes being small (2-5 bp) compared to the sister species S. caliendrum (29 bp - excluding indels), individual haplotypes corresponded with habitat type and associated symbiont rather than location, even on a broader geographical scale.

Coral host - microsatellites

Analyses of three nuclear (microsatellite) loci corroborated the differentiation suggested by the mtDNA and revealed a similar pattern of habitat partitioning. A total of 172 unique multilocus genotypes were observed among 200 analyzed samples. Of these multilocus genotypes, 17 were shared between 2 individuals, 4 between 3 individuals, and 1 between 4 individuals. With the exception of one individual, these potential clone mates always occurred within the same habitat and location, and may have resulted from fragmentation.

Genetic clustering was first assessed using STRUCTURE v2.2 [61] without providing a priori population designations. Analyses were done with and without clonal multilocus genotypes, and rendered near identical patterns of clustering and log probability distributions. The highest log probability was found for K = 4 (i.e. 4 genetic clusters; Table S1), which divided the dataset into four clusters that strongly corresponded with the four common mtDNA haplotypes (‘HostB’, ‘HostU’, ‘HostD1’ and ‘HostD2’) of each sample (Figure 4). As a consequence, all individuals with mitochondrial genotype ‘HostB’ sampled from the ‘Back Reef’ habitat formed a single cluster (regardless of location), as did all the individuals from the ‘Upper Slope’ habitat with mtDNA genotype ‘HostU’. Individuals sampled in the ‘Deep Slope’ habitat with a ‘HostU’ haplotype (n = 6) were assigned to the same group as the ‘Upper Slope’ individuals with the ‘HostU’ genotype (with one exception). All remaining ‘Deep Slope’ samples clustered in two groups corresponding to the haplotypes ‘HostD1’ and ‘HostD2’. The two individuals with a ‘HostD3’ genotype clustered together with ‘HostD2’ individuals (despite the presence of a private allele in these samples). A slightly lower log probability was found for K = 3 (Table S1), which resulted in an identical clustering by habitat, but without further subdivision of individuals from the ‘Deep Slope’ habitat (i.e. individuals with a ‘HostD1’ and ‘HostD2’ mtDNA genotype form each a single cluster).


Figure 4. Subdivision of Seriatopora hystrix populations as inferred by microsatellite loci using STRUCTURE (K = 4).

Analyses were run with no a priori information assumed on sample origin. The probability of assigning each individual coral (on the x-axes) to one of the four clusters (represented by the four colors) is shown on the y-axes. The different clusters correspond largely with the mtDNA haplotypes: ‘HostB’ (blue cluster), ‘HostU’ (yellow cluster), ‘HostD1’ (dark-green cluster) and ‘HostD2’/’HostD3’ (light-green cluster).


To avoid a Wahlund effect (sampling across distinct genetic cohorts) during further analysis under the AMOVA framework, the ‘Deep Slope’ habitats were reduced to individuals with a ‘HostD1’ genotype. This was done as STRUCTURE results indicated that the other haplotypes in this habitat (‘HostD2’, ‘HostD3’, and ‘HostU’) belong to different genetic clusters (Figure 4). Clone mates in the same population were also removed before analyses, so that multi-locus genotypes only occurred once. A nested AMOVA of the resulting populations indicated that 18% of molecular variance was partitioned between habitats (ΦHAB-TOT = 0.187; p<0.001), as opposed to 5% between locations (ΦLOC-HAB = 0.066; p<0.001). Pairwise FST values of populations (with the ‘HostD2’ individuals at Yonge Reef as a seventh population) corroborated this strong differentiation between habitats (FST = 0.179–0.300), rather than among habitats at different locations (FST = 0.012 and 0.060; Table 1). An exception was the level of differentiation observed between the ‘Back Reef’ habitats at Day and Yonge Reefs (FST = 0.120), however this genetic structuring was still less than any of the across-habitat pairwise differences (FST = 0.201–0.275). Finally, the subclusters of the ‘Deep Slope’ habitat at Yonge Reef with ‘HostD1’ and ‘HostD2’ haplotypes respectively, were also genetically distinct (FST = 0.179). Linkage disequilibrium (LD) was not detected for any of the loci or population pairwise comparisons. Significant deviation from Hardy-Weinberg equilibrium (HWE) was detected only in the ‘Upper Slope’ habitat at Yonge Reef for the locus Sh2-006, whereas all three loci were in HWE in the remaining populations (Table S2). Estimates of inbreeding for the different populations were consistently low (FIS = 0.0063–0.0793), again with exception of the ‘Upper Slope’ habitat at Yonge Reef (FIS = 0.1342; Table S2).


Table 1. Pairwise estimates of Fst values from three microsatellite loci for the coral Seriatopora hystrix.


Symbiodinium - ITS2

Based on the ITS2 rDNA region, 5 distinct symbiont types were found in association with the S. hystrix colonies sampled (Figure 2). The symbiont profiles consisted of the previously described Symbiodinium C3n-t [48], and four novel symbiont types belonging to clade C (Figure 2; C120, C120a, C1m-aa, C3-ff). Four of the five Symbiodinium types (except C120) contained 2-3 co-dominant ITS2 sequences within a single profile (see ITS2-DGGE profiles in Figure S1; Genbank HM185737-HM185741). Sequences within a profile differed by only 1–2 bases and all ITS2-DGGE fingerprints were highly consistent across samples. As such, sequences present within a single profile were considered co-dominant rDNA repeats (i.e. intragenomic variants) within the genome of a single Symbiodinium type [52], [62].

Specific symbiont types were found in association with S. hystrix colonies from either shallow (‘Back Reef’ and ‘Upper Slope’) or deep habitats (‘Deep Slope’). Approximately 95% of the colonies collected from the shallow habitats (‘Back Reef’ and ‘Upper Slope’) harbored Symbiodinium C120 irrespective of location (Yonge Reef, Day Reef, and Lizard Island), with a few ‘Back Reef’ habitat colonies at Day Reef harboring Symbiodinium C120a and C1m-aa (5 and 7 colonies respectively). In contrast, the majority (74%) of colonies from the ‘Deep Slope’ at Yonge Reef and Day Reef hosted Symbiodinium C3n-t (n = 69). The remaining 26% of ‘Deep Slope’ colonies harbored Symbiodinium C3-ff (n = 16) or Symbiodinium C120 (n = 9). Symbiont diversity proved significantly different (Two-Way ANOSIM; habitat nested within location) between habitats (R = 0.444; p = 0.001), but not locations. Pairwise comparisons between the various habitat types (One-Way ANOSIM) confirm that the ‘Deep Slope’ habitat is significantly different from ‘Back Reef’ (R = 0.676; p = 0.001) and ‘Upper Slope’ habitat (R = 0.696; p = 0.001), but that the difference between ‘Back Reef’ and ‘Upper Slope’ is not significant.

Phylogenetic analysis indicated that the shallow Symbiodinium types C120, C120a, and C1m-aa were more closely related to each other than to the ‘deep types’ C3n-t and C3-ff. The shallow Symbiodinium types appeared to have evolved from the ancestral type C1 while the deep Symbiodinium types C3n-t and C3-ff are diverged from C3 (and still contain the C3 sequence within their ribosomal array) [62].

Coupling of host and symbiont genotypes

The overlay of the Symbiodinium ITS2 types over the host mtDNA data (Figure 2) showed a strong association between host and symbiont lineages (Figure 3). All S. hystrix colonies with haplotype ‘HostD1’ and ‘HostU’ exclusively harbored Symbiodinium C3n-t and C120 respectively. Individuals with haplotype ‘HostD2’ harbored Symbiodinium C3-ff (73%) and C3n-t (27%). Similarly, most colonies with haplotype ‘HostB’ harbored Symbiodinium C120 (92%), but C120a (3%) and C1m-aa (5%) were also observed in low numbers. There was a significant difference (One-way ANOSIM) between the types of Symbiodinium associated with each mtDNA haplotype (R = 0.528; p = 0.001) as well as the types of mtDNA haplotypes each Symbiodinium type associated with (R = 0.454; p = 0.001). A further indication of the strong association between host mtDNA and symbiont ITS2 genotypes were the individuals with the shallow water ‘HostU’ haplotype that were found in the deep environment and always contained Symbiodinium C120, common among shallow water colonies.


This study demonstrates that S. hystrix and its associated Symbiodinium form genetically isolated clusters across distinct reef habitats (Figures 2,3,4). The association of host lineages (mtDNA) and genetic clusters (nDNA) with particular reef-environments rather than geographic location is consistent with divergence occurring through ecologically-based selection. Furthermore, the observed coupling of host and symbiont genotypes points to codiversification at a fine taxonomical level.

Habitat partitioning of coral host populations/genotypes

The three habitats sampled in this study (‘Back Reef’, ‘Upper Slope’, ‘Deep Slope’; Figure 1) differ greatly in exposure to wave action, temperature regimes and light availability (see methodsfor detailed description). Across these habitats, strong partitioning of host mtDNA haplotypes is observed, with the ‘Back Reef’ and ‘Upper Slope’ habitats each containing a single haplotype and the ‘Deep Slope’ habitat containing four different haplotypes. Similarly, Bayesian analysis of three microsatellite loci revealed four genetic clusters, with each cluster corresponding to one of the four common mtDNA haplotypes (i.e., individuals in each cluster share the same mtDNA genotype). There was also strong genetic differentiation across habitats based on microsatellites under the AMOVA framework. Replication of these striking genetic patterns across two distinct reef locations (~20 km apart) is consistent with local adaptation to distinct habitats followed by non-random mating, as the genetic structure was observed in putative neutral loci. Detectable genetic structure based on linkage disequilibria among microsatellite loci can develop over relatively short timescales, however partitioning based on mitochondrial loci should reflect longer (evolutionary) timescales. As such, the observed partitioning likely reflects long-standing adaptations to the unique environmental conditions of each habitat, such as strong wave action (e.g. ‘Upper Slope’), extreme temperature fluctuations (e.g. ‘Back Reef’) or low-light conditions and cold-water influxes (e.g. ‘Deep Slope’). However, given that various abiotic factors covary between habitats, it is impossible at this time to assess the likely contribution of specific environmental variables to the observed genetic partitioning. Although diversity generally declines with depth in coral species [63] and Symbiodinium types [48], [62], here we observed the highest diversity of host and symbiont genotypes in the deeper habitat.

Even though populations of S. hystrix are generally highly structured geographically across the Great Barrier Reef (GBR) [45], [46], [56], [58], van Oppen et al. [45] reported high genetic similarity between populations on the Ribbon Reefs (including Yonge Reef) of the northern GBR with pairwise FST values ranging from 0.009–0.026 for reefs up to ~80 km apart. Additionally, genetic similarity was observed between the Ribbon Reefs and a population at Lizard Island (FST = 0.065–0.090). These results are concordant with the genetic similarity observed in this study between Yonge Reef and Day Reef (within habitats) using a subset of the microsatellite loci used by van Oppen et al. [45] (FST = 0.012–0.060) and between Yonge Reef, Day Reef and Lizard Island (within habitats) for the mtDNA locus. Thus, despite the highly localized recruitment of S. hystrix [44], larval exchange between directly adjacent habitats (~50–500 m apart) is unlikely to be hampered by physical barriers. Rather, the differentiation across habitats seems to be driven by non-allopatric diversification processes.

Ayre and Dufty [46] were the first to identify an effect of habitat on genetic differentiation in S. hystrix. In their allozyme study they reported that a proportion of the within reef variability was explained by variation among five shallow habitat types (FHR = 0.05) on the central GBR. A later study by Sherman [60] at a single location on the southern GBR reported little differentiation between habitats (FHR = 0.009), but did find different levels of inbreeding between habitats (also observed by Ayre and Dufty [46]). The study by van Oppen et al. [45] did not specifically assess differences between habitats, but they did report one population in the Ribbon Reefs (which was sampled at a different depth and during a different year compared to the other populations) that was highly divergent from the other Ribbon Reef populations, leading them to suggest that this was either a reflection of temporal variability or was driven by habitat. A similar pattern of differentiation was found for a population sampled on the exposed side of Davies Reef [45]. In this study, we reconfirm the effect of habitat on genetic differentiation, first detected by Ayre and Dufty [46], but also demonstrate that the extent of differentiation between adjacent habitats can entail fixed differences.

Significant FIS and genetic structuring within populations are commonly observed among corals and have previously been attributed to local inbreeding or Wahlund effects [44]. High levels of inbreeding were only detected in the ‘Upper Slope’ habitat at Yonge Reef, possibly due to the lower densities of Seriatopora colonies in the ‘Upper Slope’ habitat (Bongaerts et al. unpublished data). In contrast to most previous studies [44 and references therein], allele frequencies in all other populations approached expectations under HWE. Although local mating would lead to inbreeding, it would not create the replicated associations (at two different reefs) of genotypes and habitats that we observed. By sampling within distinct habitats we seem to have avoided any sign of a Wahlund effect in our data, which may have affected previous studies if distinct ecotypes were present in sample locations. The exception in our study is the ‘Deep Slope’ habitat that does contain multiple distinct genetic groups (Figures 2, 4).

Depth zonation of Symbiodinium

The observed partitioning of Symbiodinium types across habitats (Figure 2) matches numerous reports on symbiont zonation over depth (e.g. [47][49], [62], [64]) and could reflect adaptation to depth-related environmental conditions such as low-light conditions [65][67]. Although some overlap existed, the common shallow symbiont, Symbiodinium C120, was rarely encountered in the ‘Deep Slope’ habitat and neither of the deep symbiont types, C3n-t or C3-ff, were found in the shallow habitats. This zonation of symbionts in S. hystrix differs from results on the southern GBR, where Symbiodinium C3n-t was found to occur in colonies from 3 to 18 meters depth [48]. The differences in depth range of Symbiodinium C3n-t between these studies (southern GBR, depth generalist; northern GBR, deep specialist) may reflect latitudinal variation in surface irradiance and light attenuation (with lower irradiance levels recorded on the southern GBR [68]). However, various abiotic factors other than light change with increasing depth (e.g. spectral quality, temperature, nutrient availability), and as with the host, it is therefore difficult to assess the individual contribution of each factor to the observed partitioning of symbionts [49]. Alternatively, different host-symbiont associations may predominate at different latitudes on the GBR.

Codiversification in the coral-algal symbiosis

The coral-algal symbiosis has received much attention over the past decade (reviewed in [50], [69]), and host-symbiont specificity and stability are tightly linked to the ability of corals to respond to environmental change (i.e. the ability to change symbiotic partners as a mechanism to cope with change). Whereas many studies have focused on the genetic identity of the symbiont, this study is one of the few to evaluate host-symbiont specificity using molecular markers for both symbiotic partners [70][72]. The most striking finding was the habitat partitioning of linked symbiotic partners, which suggests adaptation of the holobiont (host plus symbiont) to distinct environmental niches and/or linkage disequilibrium on a genomic level. The ‘Upper Slope’ and ‘Back Reef’ host mtDNA genotypes (‘HostU’ and ‘HostB’) were found in symbiosis with two closely related shallow symbionts types, C120 and C120a, as well as the rare ‘Back Reef’ symbiont C1m-aa. The two common host genotypes associated with the ‘Deep Slope’ habitat occurred with Symbiodinium types C3n-t and C3-ff (Figure 2), with C3-ff occurring exclusively in individuals with the ‘HostD2’ genotype. The observed correlation reinforces that high levels of specificity occur, even among closely related host species [48], [49], [54], [73] and potentially at an intra-specific level (Figures 2,3). As such, our data underlines the potential importance of co-speciation processes in the diversification of both symbiotic partners, and this may be particularly important in corals with a vertical symbiont acquisition mode such as the brooding coral S. hystrix [52], [54], [73], [74].

It is noteworthy that in the few instances where holobiont genotypes seem ‘misplaced’ with regards to habitat, the host-symbiont genotype associations were maintained with reference to each other. For example, individuals sampled in the ‘Deep Slope’ habitat with the common ‘Upper Slope’ host genotype ’HostU’ (mtDNA) also contained the shallow symbiont C120 instead of any of the deep symbionts (Figures 2,4). These colonies may therefore be occurring near the lower depth limit of the ‘shallow’ population, and the ‘Deep Slope’ habitat may be encompassing a contact zone with mixed environmental conditions [13] that marks a transition from ‘shallow’ to ‘deep’ haplotypes. The observation of holobiont-habitat ‘mismatches’ reinforces the status of the mtDNA haplotypes as distinct host lineages. These lineages probably represent ecotypes or potentially incipient/cryptic species that differ in their depth distribution and symbiont types, thus phenotypic plasticity alone is unlikely to be the only mechanism by which S. hystrix can thrive under a broad range of environmental conditions.

Ecological speciation

Ecological speciation describes a process of diversification that can occur in the absence of extrinsic barriers, and has therefore been proposed as an alternative to allopatric speciation in the tropical marine realm [13]. In many instances, ecological speciation is driven by divergent selection between environments and eventually results in habitat partitioning between closely related lineages. However, as divergent selection between environments is equally consistent with allopatric speciation [75], it is important to identify the geographic context in which speciation has occurred. Coyne and Orr [76] argue that divergence in sympatry must be demonstrated through a present-day sympatric distribution of the most closely related sister species and an ecological setting in which allopatric differentiation is unlikely. Yet, excluding any scenario of historical allopatry is impossible for most taxa [76], so that the most convincing cases of sympatric speciation have been limited to unique isolated terrestrial and freshwater settings, such as a crater lake [77] and a remote oceanic island [78].

In the coral reef environment, ecological speciation has been suggested in a few instances, where the general expectation of genetic partitioning according to habitat rather than biogeographical barriers was met. For example, Rocha et al. [13] observed strong genetic differentiation of several congeneric species of tropical reef fish (genus Halichoeres) across habitats, but not geographic locations. Similarly, Duran and Rützler [14] found partitioning of mtDNA haplotypes of a Caribbean marine sponge (genus Chondrilla) across mangrove and reef habitats, but not geographically distant locations. On a more local scale, Carlon and Budd [16] identified distinct depth distributions of Favia fragum morpho-types across three sites (up to ~2 km apart) in the Bocas del Toro region (Panama), consistent with a ‘divergence with gene flow’ model [16]. In a similar fashion, we observe strong genetic segregation of the coral S. hystrix across environmentally distinct habitats, but not between the same habitats at different locations (~20 km apart; Figure 2). As gene flow does not seem to be limited by physical barriers, the observed partitioning of S. hystrix in this study supports the notion of reduced gene flow through divergent selection between distinct reef habitats. Due to the limited geographic range and small number of sampled reefs, however, it is unclear whether the observed patterns of genetic differentiation are part of a broad-scale pattern in S. hystrix. Two of our mtDNA haplotypes match published S. hystrix sequences from other localities in the Indo-Pacific (Okinawa, New Caledonia, Taiwan) [40], [41] (Figure 3), suggesting a widespread occurrence of these lineages. Furthermore, as sampling was performed in discrete habitats rather than over a bathymetric gradient, it is unclear whether the observed partitioning reflects a step function (i.e. microallopatry) or distributions with zones of overlap. Further studies across a bathymetric gradient covering a broad geographic range could provide insights into the specifics and geographical context of the observed partitioning. Additionally, future studies should test whether genetic segregation is maintained through mainly pre- or post-settlement processes (e.g., reproductive isolation or selection against ecotypes that settle in the ‘wrong’ habitat).

Morphological features were not characterized, but gross morphology was observed to vary between habitats, similar to descriptions of ecotypes described by Veron and Pichot [55]. Colonies of S. hystrix in the ‘Back Reef’ and especially the ‘Upper Slope’ habitats seemed to have thicker branches (perhaps related to the greater extent of wave action in these habitats) in comparison to ‘Deep Slope’ individuals. Additionally, colonies in the ‘Upper Slope’ habitat were more compacted with shorter and more frequently dividing branches. Previous work by Flot et al. [34] in Okinawa, New Caledonia and the Philippines showed little congruence between mitochondrial sequences and morphological species delimitations, however they focused on genetic variability between various Seriatopora spp. (S. hystrix, S. caliendrum, S. aculeata, S. guttatus, and S. stellata; the latter three are not reported for the GBR) and specifically report distinct genetic lineages within S. hystrix. Although the taxonomic status of the observed mtDNA lineages will need to be resolved in future molecular and morphological studies (in order to assess whether they represent intra-specific diversity, subspecies (ecotypes), or cryptic species [40], [41]), at present, incipient ecological speciation seems to provide the most parsimonious explanation for the strong association of closely-related, sympatrically-occurring host lineages with habitat.


Even though genetic variability between habitats has been previously demonstrated [46], this study clearly indicates that habitats within a reef can be genetically isolated from each other, whereas the same habitat types separated by up to ~20 km can exhibit high levels of genetic similarity. Furthermore, the observed genetic partitioning demonstrates that the cryptic diversity previously detected in S. hystrix [40], [41] may be a reflection of lineages associated with distinct reef environments. Habitat-associated cryptic diversity may explain some of the “stochastic” results and high levels of genetic structuring over short geographic distances commonly observed in genetic studies of scleractinian corals. This study highlights the need to further explore genetic diversity over environmental gradients in other coral species, preferably encompassing species with a variety of life history strategies and broad ecological distributions. This is particularly important in the context of local reef connectivity and the general conception that deeper sections of reefs [18], [79] may act as a reproductive source for shallow reef areas following disturbance [23].

The strong association of host and symbiont genotypes with particular reef environments presents a compelling case for ecological speciation, corroborating previous evidence [13][15] that ecologically-based divergent selection may be an important mechanism for diversification on coral reefs. Overall, it underscores the need for understanding processes that shape diversity, which will allow for more accurate predictions on the persistence and community structure of coral reefs in a future of increasing anthropogenic and climate pressures.

Materials and Methods

Collection of the corals was in accordance with the Queensland Animal Care and Protection Act 2001 and the necessary permits were supplied by the Great Barrier Reef Marine Park Authority (Townsville, Australia).

Sample collection and processing

Small fragments (±3 cm) of S. hystrix colonies were collected (n = 336) on SCUBA from three different habitats: the ‘Back Reef’ (2 m depth ±1 m), ‘Upper Slope’ (6 m depth, ±1 m) and ‘Deep Slope’ (27 m depth ±2 m) at two reef locations, Yonge Reef (14°36′59.9″S; 145°38′ 11.1″E) and Day Reef (14°28′28.4″S/145°32′19.1″E) along the continental shelf edge of the GBR and from a ‘Back Reef’ habitat (2 m) at Lizard Island (14°41′39.1″S; 145°27′ 58.2″E). The three reef locations are at an approximate distance of 19–25 km from each other (Figure 1).

The ‘Back Reef’ habitat (~2 m) is a shallow water body with strong temperature fluctuations during slack tides when there is little exchange with surrounding waters. The ‘Upper Slope’ (~6 m) while not experiencing the same temperature fluctuations, faces the Coral Sea and experiences strong wave action from the incoming waves that break onto the reef (Done 1982) as it is located just below the reef crest. The ‘Deep Slope’ (~27 m) on the other hand, has low irradiance levels compared to the shallow habitats and during summer, experiences slightly lower average temperatures (monthly average during February 2008 was ~1°C lower) due to influxes of deep, sub-thermocline water (Bongaerts et al. unpublished data). Based on light attenuation data of the adjacent Ribbon Reefs, the proportion of surface irradiance available in the ‘Deep Slope’ habitat is also expected to be up to 10 times lower than in the shallower habitats (based on a Kg [PAR] of 0.084 during the summer solstice period; Veal, unpublished data;). Thus, despite their proximity (~50 m between ‘Upper Slope’ and ‘Deep Slope’ habitats; ~500 m between slope and ‘Back Reef’ habitats), these habitats offer very distinct environmental conditions to both the coral host and their associated photosymbionts.

Corals were identified as S. hystrix based on characters described by Veron [26] and Veron and Pichot [55]. All collected colonies were separated by at least 3 m in order to minimize the inclusion of potential clone mates due to fragmentation. Coral tissue was separated from the coral skeleton with a modified airgun attached to a SCUBA cylinder and subsequently stored in 20% DMSO preservation buffer and kept at −20°C until further processing. DNA (from both coral and symbiont) was extracted from the tissue using a Qiagen Plant Mini extraction kit following the manufacturer's instructions.

Coral host - mtDNA genotyping

A fragment of the putative control region (atp6-nad4 intergenic spacer; [41]) was amplified for all samples (n = 336) using the newly designed primers SerCtl-F1: 5′-GTC TGC TCA CAT TAA TTT AT-3′ and SerCtl-R1: 5′-AGA GAT CGA ACT AAG AGT CG-3′. Primers were designed from the published Seriatopora mitogenome (Genbank Accession Number NC010244). PCR amplifications were performed with 0.1–1.0 µl of DNA, 2 µl 10x PCR buffer (Invitrogen), 1.0 µl 50 mM MgCl2, 1 µl 10 mM dNTPs, 1 µl 10 mM SerCtl-F1, 1 µl 10 mM SerCtl-R1, 0.10 µl of Platinum Taq DNA Polymerase (Invitrogen) and dH20 water to a total volume of 20 µl per reaction. The cycling protocol was: 1×94°C (10 min); 30×[45 s at 94°C, 45 s at 56°C, 30 s at 72°C]; 1×72°C (8 min). PCR reactions were purified (using ethanol and ammonium acetate) and sequenced using both forward and reverse, or just the reverse primer (ABI BigDye Terminator chemistry, Australian Genome Research Facility). All chromatograms were checked manually and the resulting sequences aligned with Seriatopora caliendrum (Genbank No EF633600) and Pocillopora damicornis (Genbank No EF526302.1), which were subsequently used as outgroups. Modeltest [80] found that a HKY model [81] of molecular evolution (which allows for different rates of transition and transversion of the four nucleotides) best described the data under a log likelihood optimality criterion. Genealogies were constructed using maximum parsimony (MP) in the software PAUP* 4.0b10 [82] with indels excluded from the phylogenetic analysis. Bootstrapping was performed using a parsimony criterion (1000 replicates). Bayesian analyses were performed using the program MrBayes [83], with the Markov Chain Monte Carlo search run under the following conditions: 4 chains, 106 generations, a sample frequency of 100 generations and a “burn-in” of 2500 trees. The individual contributions of habitat and location on genotypic variability were assessed under the AMOVA framework using GenALEx V6 [84], with location nested within habitat. Tests for statistical significance were based on 9,999 random permutations, followed by sequential Bonferroni correction.

Coral host - microsatellite genotyping

Three polymorphic microsatellite loci (Sh4-001, Sh2-002, Sh2-006; [85]) were amplified for a subset of samples (n = 200) from Yonge Reef and Day Reef to verify whether nuclear loci corroborated the observed partitioning of mtDNA haplotypes (the ‘Back Reef’ habitat from Lizard Island was not included). Amplification was carried out by PCR incorporating a universal fluorescently labeled M13 primer following Schuelke [86] or by directly labeling the microsatellite primers following Underwood et al. [85]. The products were analyzed on a MegaBACE 1000 capillary sequencer (Amersham Biosciences) against an internal size-standard (ET 400-R, GE Healthcare) and the resulting electropherograms were scored using the program MegaBACE Genetic Profiler Version 2.2 (Amersham Biosciences). Genetic structuring in the dataset was explored using the Bayesian clustering method STRUCTURE v2.2 [61], which can assign individuals to genetic clusters without taking into account sample origin. The most likely number of genetic clusters (K) was inferred using the method of Evanno et al. [87], where both the log probability and the rate of change in log probability are considered. Five independent chains were run with a burn-in length of 100,000 and 1,000,000 MCMC replications (after burn-in) for K = 2 to K = 12, under an admixture model with independent allele frequencies and without a priori information about populations (as outlined in [45]). Genetic structuring was further assessed under the AMOVA framework using GenAlEx V6 [84], by partitioning the amount of genetic variation (with regards to alleles) between and within habitats (location nested within habitat). In this analysis, populations were reduced to individuals from the single, most dominant genetic cluster in that habitat (as indicated by the STRUCTURE results). Pairwise genetic distances (FST values) between habitats at the various locations were also calculated. Tests for statistical significance were based on 9,999 random permutations, followed by sequential Bonferroni correction. Linkage disequilibrium and significant deviations from HWE were evaluated using GENEPOP (web version 3.4) [88].

Symbiodinium–ITS2 genotyping

The internal transcribed spacer (ITS2) region of the rDNA for Symbiodinium was amplified for all samples (n = 336) with Symbiodinium-specific primers [62], using 0.1–1.0 µl of DNA, 2 µl 10x PCR buffer (Invitrogen), 1.0 µl 50 mM MgCl2, 1 µl 10 mM dNTPs, 1 µl 10 mM ITSintfor2, 1 µl 10 mM ITS2Clamp, 0.10 µl of Platinum Taq DNA Polymerase (Invitrogen) and dH20 water to a total volume of 20 µl per reaction following LaJeunesse [62]. The amplified ITS2 fragments were separated using Denaturing Gradient Gel Electrophoresis (DGGE) on a Biorad DCode System following conditions outlined in Sampayo et al. [48]. Representative, dominant bands of each characteristic profile were excised, eluted overnight in dH2O, re-amplified using the non-GC primers [48], [62], and purified (using ethanol and ammonium acetate) prior to sequencing. The re-amplified PCR products were sequenced in both the forward and reverse directions (ABI BigDye Terminator chemistry, Australian Genome Research Facility). All chromatograms were aligned using Codoncode Aligner, checked manually and blasted on Genbank ( Maximum parsimony (MP) analysis was run in PAUP* 4.0b10 [82] under the delayed transition option and using indels as a fifth character state. All bootstrap values were calculated based on 1000 replicates.

Statistical analyses

Dependence of genetic population structure on habitat and location was assessed for the host (mtDNA) and symbiont (ITS2) in a nested analysis of similarity (Two-way ANOSIM) using Bray-Curtis distance. Pairwise comparisons for each habitat were then performed in a One-Way ANOSIM to test for differences between individual habitats. Associations between host genotypes (mtDNA) and Symbiodinium types (ITS) were also evaluated using a One-Way ANOSIM. All multivariate statistics were done using the software package PRIMER (v6) [89].

Supporting Information

Figure S1.

Denaturing gradient gel electrophoresis of Symbiodinium ITS2 rDNA showing the 5 distinct Symbiodinium types found in S. hystrix: C120, C120a, C3n-t, C3-ff, C1m-aa. Characteristic sequences used to identify each symbiont type are shown adjacent to bands in the gel image (note that C3 and C3n co-migrate to the same position).


(1.71 MB TIF)

Table S1.

Log probabilities L(K) and L' (K) for the likely number of genetic clusters in the microsatellite dataset, using STRUCTURE.


(0.05 MB DOC)

Table S2.

Descriptive statistics for three microsatellite loci for Seriatopora hystrix collected from three habitats at two locations (7 populations). The last population consists of the individuals from the ‘Deep Slope’ habitat at Yonge Reef with a ‘HostD2’ mtDNA genotype.


(0.07 MB DOC)


We thank L. Vail from the Lizard Island Research Station for invaluable support during the fieldwork, T. LaJeunesse for assistance with Symbiodinium nomenclature and L. Peplow for assistance with the coral host microsatellite genotyping. The authors also thank Associate-Editor S.V. Vollmer, D.J. Ayre and an anonymous reviewer for helpful suggestions on a previous version of this manuscript.

Author Contributions

Conceived and designed the experiments: PB CR TR ES. Performed the experiments: PB TR ES NE FV. Analyzed the data: PB CR ES. Contributed reagents/materials/analysis tools: CR MJHvO OHG. Wrote the paper: PB CR TR ES MJHvO OHG.


  1. 1. Mayr E (1954) Geographical Speciation In Tropical Echinoids. Evolution 8: 1–18.
  2. 2. Rundle HD, Nosil P (2005) Ecological speciation. Ecol Lett 8: 336–352.
  3. 3. Johannesson K (2003) Evolution in Littorina: ecology matters. J Sea Res 49: 107–117.
  4. 4. Wilding CS, Butlin RK, Grahame J (2001) Differential gene exchange between parapatric morphs of Littorina saxatilis detected using AFLP markers. J Evol Biol 14: 611–619.
  5. 5. Conde-Padín P, Carvajal-Rodriguez A, Carballo M, Caballero A, Rolán-Alvarez E (2007) Genetic variation for shell traits in a direct-developing marine snail involved in a putative sympatric ecological speciation process. Evol Ecol 21: 635–650.
  6. 6. Rice WR, Hostert EE (1993) Laboratory experiments on speciation: what have we learned in 40 years? Evolution. pp. 1637–1653.
  7. 7. Ogden R, Thorpe RS (2002) Molecular evidence for ecological speciation in tropical habitats. Proc Natl Acad Sci USA 99: 13612–13615.
  8. 8. Richmond JQ, Reeder TW (2002) Evidence for parallel ecological speciation in scincid lizards of the Eumeces skiltonianus species group (Squamata: Scincidae). Evolution 56: 1498–1513.
  9. 9. Rundle HD, Schluter D (2004) Natural selection and ecological speciation in sticklebacks. In: Dieckmann U, Doebeli M, Metz JAJ, Tautz D, editors. Adaptive speciation. Cambridge: Cambridge University Press. pp. 192–209.
  10. 10. Tonnis B, Grant PR, Grant BR, Petren K (2005) Habitat selection and ecological speciation in Galapagos warbler finches (Certhidea olivacea and Certhidea fusca). Proc R Soc, B 272: 819–826.
  11. 11. Langerhans RB, Gifford ME, Joseph EO (2007) Ecological speciation in Gambusia fishes. Evolution 61: 2056–2074.
  12. 12. Ryan PG, Bloomer P, Moloney CL, Grant TJ, Delport W (2007) Ecological speciation in South Atlantic island finches. Science 315: 1420–1423.
  13. 13. Rocha LA, Robertson DR, Roman J, Bowen BW (2005) Ecological speciation in tropical reef fishes. Proc R Soc, B 272: 573–579.
  14. 14. Duran S, Rützler K (2006) Ecological speciation in a Caribbean marine sponge. Mol Phylogenet Evol 40: 292–297.
  15. 15. Rützler K, Duran S, Piantoni C (2007) Adaptation of reef and mangrove sponges to stress: evidence for ecological speciation exemplified by Chondrilla caribensis new species (Demospongiae, Chondrosida). Mar Ecol 28: 95–111.
  16. 16. Carlon DB, Budd AF, Bonhomme F (2002) Incipient speciation across a depth gradient in a scleractinian coral? Evolution 56: 2227–2242.
  17. 17. Vermeij MJA, Bak RPM (2002) How are coral populations structured by light? Marine light regimes and the distribution of Madracis. Mar Ecol Prog Ser 233: 105–116.
  18. 18. Glynn PW (1996) Coral reef bleaching: facts, hypotheses and implications. Global Change Biol 2: 495–509.
  19. 19. Done TJ (1982) Patterns in the distribution of coral communities across the central Great Barrier Reef. Coral Reefs 1: 95–107.
  20. 20. Monismith SG (2007) Hydrodynamics of coral reefs. Annual Rev Fluid Mech 39: 37–55.
  21. 21. Bradshaw AD (1965) Evolutionary significance of phenotypic plasticity in plants. Adv Genet 13: 15–155.
  22. 22. Todd PA (2008) Morphological plasticity in scleractinian corals. Biol Rev 83: 315–337.
  23. 23. Bongaerts P, Ridgway T, Sampayo EM, Hoegh-Guldberg O (2010) Assessing the ‘deep reef refugia’ hypothesis: focus on Caribbean reefs. Coral Reefs 29 (2): 309–327.
  24. 24. Knowlton N (1993) Sibling species in the sea. Ann Rev Ecol Syst 24: 189–216.
  25. 25. Knowlton N, Jackson JBC (1994) New taxonomy and niche partitioning on coral reefs: Jack of all trades or master of some? Trends Ecol Evol 1: 7–9.
  26. 26. Veron JEN, Stafford-Smith M (2000) Corals of the World: Australian Institute of Marine Science Townsville MC, Qld, Australia.
  27. 27. Diekmann OE, Bak RPM, Stam WT, Olsen JL (2001) Molecular genetic evidence for probable reticulate speciation in the coral genus Madracis from a Caribbean fringing reef slope. Mar Biol 139: 221–233.
  28. 28. Vermeij MJA, Bak RPM (2003) Species-specific population structure of closely related coral morphospecies along a depth gradient (5–60 m) over a Caribbean reef slope. Bull Mar Sci 73: 725–744.
  29. 29. Bak RPM (1977) Coral reefs and their zonation in Netherlands Antilles. AAPG Studies in Geology 4: 3–16.
  30. 30. Van Moorsel G (1983) Reproductive strategies in two closely related stony corals (Agaricia, Scleractinia). Mar Ecol Prog Ser 13: 273–283.
  31. 31. Knowlton N, Weil E, Weigt LA, Guzman HM (1992) Sibling species in Montastraea annularis, coral bleaching, and the coral climate record. Science 255: 330–333.
  32. 32. Lopez JV, Kersanach R, Rehner SA, Knowlton N (1999) Molecular determination of species boundaries in corals: genetic analysis of the Montastraea annularis complex using amplified fragment length polymorphisms and a microsatellite marker. Biol Bull 196: 80–93.
  33. 33. Ayre DJ, Veron JEN, Dufy SL (1991) The corals Acropora palifera and Acropora cuneata are genetically and ecologically distinct. Coral Reefs 10: 13–18.
  34. 34. Benzie JAH, Haskell A, Lehman H (1995) Variation in the genetic composition of coral (Pocillopora damicornis and Acropora palifera) populations from different reef habitats. Mar Biol 121: 731–739.
  35. 35. Baums IB (2008) A restoration genetics guide for coral reef conservation. Mol Ecol 17: 2796–2811.
  36. 36. Hunter CL (1993) Genotypic variation and clonal structure in coral populations with different disturbance histories. Evolution. pp. 1213–1228.
  37. 37. Baums IB, Miller MW, Hellberg ME (2006) Geographic variation in clonal structure in a reef-building Caribbean coral, Acropora palmata. Ecol Monogr 76: 503–519.
  38. 38. D'Croz L, Maté JL (2004) Experimental responses to elevated water temperature in genotypes of the reef coral Pocillopora damicornis from upwelling and non-upwelling environments in Panama. Coral Reefs 23: 473–483.
  39. 39. Vollmer SV, Kline DI (2008) Natural disease resistance in threatened staghorn corals. PLoS ONE 3: e3718.
  40. 40. Flot JF, Licuanan WY, Nakano Y, Payri C, Cruaud C, et al. (2008) Mitochondrial sequences of Seriatopora corals show little agreement with morphology and reveal the duplication of a tRNA gene near the control region. Coral Reefs 27: 789–794.
  41. 41. Chen C, Dai CF, Plathong S, Chiou CY, Chen CA (2007) The complete mitochondrial genomes of needle corals, Seriatopora spp. (Scleractinia: Pocilloporidae): an idiosyncratic atp8, duplicated trnW gene, and hypervariable regions used to determine species phylogenies and recently diverged populations. Mol Phylogenet Evol 46: 19–33.
  42. 42. Flot JF, Magalon H, Cruaud C, Couloux A, Tillier S (2008) Patterns of genetic structure among Hawaiian corals of the genus Pocillopora yield clusters of individuals that are compatible with morphology. Comptes rendus-Biologies 331: 239–247.
  43. 43. Forsman ZH, Barshis DJ, Hunter CL, Toonen RJ (2009) Shape-shifting corals: Molecular markers show morphology is evolutionarily plastic in Porites. BMC Evol Biol 9: 45.
  44. 44. Underwood JN, Smith LD, Van Oppen MJH, Gilmour JP (2007) Multiple scales of genetic connectivity in a brooding coral on isolated reefs following catastrophic bleaching. Mol Ecol 16: 771–784.
  45. 45. van Oppen MJH, Lutz A, De'ath G, Peplow L, Kininmonth S (2008) Genetic traces of recent long-distance dispersal in a predominantly self-recruiting coral. PLoS ONE 3: e3401.
  46. 46. Ayre DJ, Dufty S (1994) Evidence for restricted gene flow in the viviparous coral Seriatopora hystrix on Australia's Great Barrier Reef. Evolution 48: 1183–1201.
  47. 47. Rowan R, Knowlton N (1995) Intraspecific diversity and ecological zonation in coral-algal symbiosis. Proc Natl Acad Sci USA 92: 2850–2853.
  48. 48. Sampayo EM, Franceschinis L, Hoegh-Guldberg O, Dove S (2007) Niche partitioning of closely related symbiotic dinoflagellates. Mol Ecol 16: 3721–3733.
  49. 49. Frade PR, De Jongh F, Vermeulen F, Van Bleijswijk J, Bak RPM (2008) Variation in symbiont distribution between closely related coral species over large depth ranges. Mol Ecol 17: 691–703.
  50. 50. Baker AC (2003) Flexibility and specificity in coral-algal symbiosis: Diversity, Ecology, and Biogeography of Symbiodinium. Annu Rev Ecol Syst 34: 661–689.
  51. 51. LaJeunesse TC, Thornhill DJ, Cox EF, Stanton FG, Fitt WK, et al. (2004) High diversity and host specificity observed among symbiotic dinoflagellates in reef coral communities from Hawaii. Coral Reefs 23: 596–603.
  52. 52. Douglas AE (1998) Host benefit and the evolution of specialization in symbiosis. Heredity 81: 599–603.
  53. 53. LaJeunesse TC (2005) “Species” radiations of symbiotic dinoflagellates in the Atlantic and Indo-Pacific since the Miocene-Pliocene transition. Mol Biol Evol 22: 570–581.
  54. 54. Stat M, Hoegh-Guldberg O, Fitt WK, Carter D (2008) Host symbiont acquisition strategy drives Symbiodinium diversity in the southern Great Barrier Reef. Coral Reefs 27: 763–772.
  55. 55. Veron JEN, Pichon M (1976) Scleractinia of eastern Australia, Part 1. Families Thamnasteriidae, Astrocoeniidae, and Pocilloporidae. Mar Sci Monogr Ser 1:
  56. 56. Ayre DJ, Hughes TP (2000) Genotypic diversity and gene flow in brooding and spawning corals along the Great Barrier Reef, Australia. Evolution 1590–1605.
  57. 57. Maier E, Tollrian R, Nürnberger B (2009) Fine-scale analysis of genetic structure in the brooding coral Seriatopora hystrix from the Red Sea. Coral Reefs 28: 751–756.
  58. 58. Ayre DJ, Hughes TP (2004) Climate change, genotypic diversity and gene flow in reef-building corals. Evolution 54: 1590–1605.
  59. 59. Maier E, Tollrian R, Rinkevich B, Nürnberger B (2005) Isolation by distance in the scleractinian coral Seriatopora hystrix from the Red Sea. Mar Biol 147: 1109–1120.
  60. 60. Sherman CDH (2008) Mating system variation in the hermaphroditic brooding coral, Seriatopora hystrix. Heredity 100: 296–303.
  61. 61. Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155: 945–959.
  62. 62. LaJeunesse T (2002) Diversity and community structure of symbiotic dinoflagellates from Caribbean coral reefs. Mar Biol 141: 387–400.
  63. 63. Huston MA (1985) Patterns of species diversity on coral reefs. Annu Rev Ecol Syst 16: 149–177.
  64. 64. Warner ME, LaJeunesse TC, Robison JD, Thur RM (2006) The ecological distribution and comparative photobiology of symbiotic dinoflagellates from reef corals in Belize: potential implications for coral bleaching. Limnol Oceanogr 51: 1887–1897.
  65. 65. Iglesias-Prieto R, Trench RK (1997) Acclimation and adaptation to irradiance in symbiotic dinoflagellates. II. Response of chlorophyll–protein complexes to different photon-flux densities. Mar Biol 130: 23–27.
  66. 66. Iglesias-Prieto R, Beltran VH, LaJeunesse TC, Reyes-Bonilla H, Thome PE (2004) Different algal symbionts explain the vertical distribution of dominant reef corals in the eastern Pacific. Proc R Soc, B 271: 1757–1763.
  67. 67. Frade PR, Bongaerts P, Winkelhagen AJS, Tonk L, Bak RPM (2008) In situ photobiology of corals over large depth ranges: A multivariate analysis on the roles of environment, host, and algal symbiont. Limnol Oceanogr 53: 2711–2723.
  68. 68. Sampayo EM (2007) Diversity and ecology of Symbiodinium in pocilloporid corals. PhD thesis, The University of Queensland.
  69. 69. Stat M, Carter D, Hoegh-Guldberg O (2006) The evolutionary history of Symbiodinium and scleractinian hosts - symbiosis, diversity, and the effect of climate change. Perspect Plant Ecol Evol Syst 8: 23–43.
  70. 70. Hunter CL, Morden CW, Smith CM (1997) The utility of ITS sequences in assessing relationships among zooxanthellae and corals. Proc 8th Int Coral Reef Symp 2: 1599–1602.
  71. 71. van Oppen MJ, Palstra FP, Piquet AM, Miller DJ (2001) Patterns of coral-dinoflagellate associations in Acropora: significance of local availability and physiology of Symbiodinium strains and host-symbiont selectivity. Proc R Soc, B 268: 1759–1767.
  72. 72. Diekmann O, Olsen J, Stam W, Bak R (2003) Genetic variation within Symbiodinium clade B from the coral genus Madracis in the Caribbean (Netherlands Antilles). Coral Reefs 22: 29–33.
  73. 73. Loh WK, Loi T, Carter D, Hoegh-Guldberg O (2001) Genetic variability of the symbiotic dinoflagellates from the wide ranging coral species Seriatopora hystrix and Acropora longicyathus in the Indo-West Pacific. Mar Ecol Prog Ser 222: 97–107.
  74. 74. Moran NA, Munson MA, Baumann P, Ishikawa H (1993) A molecular clock in endosymbiotic bacteria is calibrated using the insect hosts. Proc R Soc, B 253: 167–171.
  75. 75. Schluter D (2000) The Ecology of Adaptive Radiation. Oxford: Oxford University Press.
  76. 76. Coyne JA, Orr HA (2004) Speciation. Sunderland, MA: Sinauer Associates, Inc..
  77. 77. Barluenga M, Stolting KN, Salzburger W, Muschick M, Meyer A (2006) Sympatric speciation in Nicaraguan crater lake cichlid fish. Nature 439: 719–723.
  78. 78. Savolainen V, Anstett MC, Lexer C, Hutton I, Clarkson , et al. (2006) Sympatric speciation in palms on an oceanic island. Nature 441: 210–213.
  79. 79. Hughes TP, Tanner JE (2000) Recruitment failure, life histories, and long-term decline of Caribbean corals. Ecology 81: 2250–2263.
  80. 80. Posada D, Crandall KA (1998) Modeltest: testing the model of DNA substitution. Bioinformatics 14: 817–818.
  81. 81. Felsenstein , J (1981) Evolutionary trees from DNA sequences: a maximum likelihood approach. J Mol Evol 17: 368–376.
  82. 82. Swofford DL (1999) PAUP 4.0: phylogenetic analysis using parsimony (and other methods). Sunderland, Mass: Sinauer.
  83. 83. Ronquist F, Huelsenbeck JP (2003) MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19: 1572–1574.
  84. 84. Peakall R, Smouse PE (2001) GenAlEx V5: Genetic Analysis in Excel. Population Genetic Software for Teaching and Research, Australian National University.
  85. 85. Underwood JN, Souter PB, Ballment ER, Lutz AH, Van Oppen MJH (2006) Development of 10 polymorphic microsatellite markers from herbicide-bleached tissues of the brooding pocilloporid coral Seriatopora hystrix. Mol Ecol Notes 6: 176–178.
  86. 86. Schuelke M (2000) An economic method for the fluorescent labeling of PCR fragments. Nat Biotechnol 18: 233–234.
  87. 87. Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14: 2611–2620.
  88. 88. Raymond M, Rousset F (1995) GENEPOP (version 1.2): population genetics software for exact tests and ecumenicism. J Hered 86: 248–249.
  89. 89. Clarke KR (1993) Non-parametric multivariate analysis of changes in community structure. Australian Journal of Ecology 18: 117–143.