Skip to main content
PLOS ONE logoLink to PLOS ONE
. 2017 Jun 30;12(6):e0180169. doi: 10.1371/journal.pone.0180169

Genetic structure of coral-Symbiodinium symbioses on the world’s warmest reefs

Edward G Smith 1,*, Benjamin C C Hume 2, Patrice Delaney 1, Jörg Wiedenmann 2, John A Burt 1
Editor: Heather M Patterson3
PMCID: PMC5493405  PMID: 28666005

Abstract

Corals in the Arabian/Persian Gulf (PAG) survive extreme sea temperatures (summer mean: >34°C), and it is unclear whether these corals have genetically adapted or physiologically acclimated to these conditions. In order to elucidate the processes involved in the thermal tolerance of PAG corals, it is essential to understand the connectivity between reefs within and outside of the PAG. To this end, this study set out to investigate the genetic structure of the coral, Platygyra daedalea, and its symbiotic algae in the PAG and neighbouring Gulf of Oman. Using nuclear markers (the ITS region and an intron of the Pax-C gene), this study demonstrates genetic divergence of P. daedalea on reefs within the thermally extreme PAG compared with those in the neighbouring Gulf of Oman. Isolation by distance of P. daedalea was supported by the ITS dataset but not the Pax-C intron. In addition, the symbiont community within the PAG was dominated by C3 symbionts, while the purportedly thermotolerant clade D was extremely rare and was common only at sites outside of the PAG. Analysis of the psbAncr indicates that the C3 variant hosted by P. daedalea in the PAG belongs to the newly described species, Symbiodinium thermophilum. The structuring of the coral and symbiont populations suggests that both partners of the symbiosis may contribute to the high bleaching thresholds of PAG corals. While limited gene flow has likely played a role in local adaptation within the PAG, it also indicates limited potential for natural export of thermal tolerance traits to reefs elsewhere in the Indian Ocean threatened by climate change.

Introduction

Coral reefs have undergone global decline in recent decades, often as a result of bleaching events, where a breakdown of the symbiosis between the coral hosts and their algal partners is associated with declines in coral health and survival. Mass bleaching typically occurs under elevated sea temperatures, with increases of only 1–2°C above the normal maximum often resulting in widespread mortality of corals throughout the tropics [1]. Given that tropical sea temperatures are predicted to rise by 0.5–4°C by the end of the century [2], the maintenance of present-day coral reefs will depend on the ability of the holobiont to acclimate or adapt to future temperature increases.

Both the algal symbiont and the coral host have been proposed to play a role in thermal tolerance. Different strains of algal symbionts vary in their sensitivity to thermal stress, with thermally tolerant clades typically common in high-temperature coral habitats [3, 4]. With regard to the host, studies have demonstrated that differences in host thermal tolerance are correlated with genetic divergence and differences in gene and protein expression under different thermal regimes [5, 6]. In reality, both partners in the symbiosis likely play an interactive role in the thermal tolerance of the holobiont [7], suggesting that studies on thermal adaptation must consider the symbiont and host genotypes.

Corals that exist in contemporary extreme environments represent useful models for understanding the potential for acclimation or adaptation to future temperature increases [8]. Corals in the Arabian/Persian Gulf (hereafter ‘the PAG’) are exposed to extreme summer sea temperatures compared with other tropical regions, with temperatures exceeding 34°C for several months annually and summer maxima >36°C [911], and therefore have the potential to provide important insights into how corals respond to thermal stress. Although numerous studies have demonstrated that the PAG is biogeographically unique in terms of community structure (e.g. [12]), few studies have explored the molecular mechanisms that allow corals to persist in this environment. Given that PAG reefs are relatively geographically isolated from the Indian Ocean by the narrow (42 km wide) Strait of Hormuz, yet are relatively young (present-day shorelines reached ~6000 years ago [13]), it is unclear whether there has been sufficient isolation to support genetic adaptation to the local environment. The aim of this study was to assess the genetic structure of both the coral host and the symbiotic algae of the locally abundant and pan-tropically distributed coral, Platygyra daedalea. By comparing the genetic structure of the holobiont collected from sites within the PAG, with those in the neighbouring Gulf of Oman (including the Straits of Hormuz), where temperatures are more benign (mean monthly maximum <31.5°C), this study aims to elucidate whether differences in thermal tolerance are linked to genetic divergence in either the host or symbionts. Such findings would have important implications regarding the potential for natural exchange of thermal tolerance traits with Indian Ocean reefs threatened by future climate change.

Results & discussion

The role of the host in the thermal tolerance of PAG holobionts has, to date, been unexplored. The results presented here from the host ITS marker indicate that there is strong genetic structuring between local populations in the PAG and Gulf of Oman. The haplotype frequencies (Fig 1) and pairwise ɸST comparisons (Table 1) from the ITS marker demonstrate differentiation between subpopulations from the southern PAG (Delma and Saadiyat) and the Gulf of Oman (Fujairah and Muscat) and revealed isolation by distance (IBD) occurring in this system (Mantel test, r = 0.60, p = 0.026). As differences between the PAG and Gulf of Oman could arise from the presence of cryptic species, haplowebs were used to visualise “fields for recombination” (FFRs) [14, 15] (S1 and S2 Figs). This analysis did not reveal the presence of cryptic species in our dataset. The reduced gene flow observed between conspecific Platygyra populations in the southern PAG and Gulf of Oman has important implications, particularly as the ITS marker has previously shown panmixia of coral populations over a comparatively much larger scale of thousands of kilometres [16]. As limited gene flow promotes local adaptation [17], the strong genetic structuring observed in this marker supports the assertion that these coral hosts have adapted to the PAG’s extreme environment [18]. Nevertheless, such restricted gene flow suggests that substantial direct export of the acquired thermal tolerance traits of P. daedalea from the southern PAG to the wider Indian Ocean is unlikely. As a consequence, PAG corals may have a limited capacity to naturally enhance the resilience of Indian Ocean reefs threatened by future temperature increases associated with climate change.

Fig 1. Genetic structure of Platygyra daedalea in the PAG and Gulf of Oman.

Fig 1

Upper panel: Mean monthly averaged maximum SST, 2004–2014. Lower panel: Host haplotype frequencies. Each colour represents a different haplotype and white sectors indicate private haplotypes. SH = Strait of Hormuz.

Table 1. Pairwise ɸST comparisons between sites for the ITS region (below diagonal) and PAX-C intron (above diagonal).

DEL SAD RAK MDM FUJ MCT
DEL -0.010 0.051 -0.023 0.016 0.051
SAD 0.051 0.021 -0.014 0.035 0.132
RAK 0.052 0.008 0.052 0.120 0.239
MDM 0.124 0.113 0.026 -0.007 0.087
FUJ 0.297 0.260 0.105 0.071 0.150
MCT 0.230 0.172 0.038 0.034 -0.027

Bold values indicate significance at p<0.05 level.

In agreement with the ITS marker, the results from the host Pax-C intron also indicated some structuring between sites inside the PAG and those in the Gulf of Oman, although there are some inconsistencies in the overall pattern. While there was agreement with structuring between the southern-most Gulf of Oman sites (Fujairah and Muscat) and the more proximal PAG sites (Ras al Khaimah and Saadiyat), it was not evident between the two most distant sites in this study (Muscat versus Delma). This was not consistent with the geography and oceanography of the region. Consequently, IBD is not evident from the PAX-C dataset (Mantel test, r = -0.17, p = 0.323). It was postulated that the discrepancies resulted from this type of marker, since nuclear intron markers such as Pax-C have frequently failed to resolve patterns observed in morphological features and other genetic markers, including the ITS region (e.g. [19, 20]). Although mitochondrial markers could provide an alternative to nuclear intron markers, they typically lack the resolution for intraspecific studies due to the slow evolution of the mitochondrial genome in anthozoans [21, 22]. The incongruence between the markers highlights the limitations of traditional markers as population genetic parameters vary across the genome. However, more representative estimates can now be obtained using approaches such as RADseq, which benefit from genome-wide marker coverage.

The symbiont communities associated with P. daedalea showed clear structuring (Fig 2A). There were significant differences in the abundances of different ITS2 types hosted by corals (Fisher-Freeman-Halton Exact, p = 0.000) between the PAG and Gulf of Oman. Corals from the Gulf of Oman were largely dominated by clade D derivatives whereas corals from the PAG were associated with C3 symbionts. These results were unusual as it would be expected that clade D symbionts, widely regarded as thermotolerant, would be abundant in the world’s warmest reefs, and since previous work has shown that clade D symbionts become more dominant over C3 types in Platygyra populations as temperature increases along a thermal gradient in Taiwan [23]. In north-eastern Arabian reefs, Platygyra populations tend to be dominated by either D variants or C3 symbionts. Clade D dominated populations associate with the more benign environments such as the Gulf of Oman, Iranian and Saudi Arabian reefs [3, 4], while the more thermally extreme reefs of the southern PAG host C3 symbionts [10, 18, 2427]. The distinct D or C3 dominated communities were clearly exemplified by the sharp switch from D dominated communities in the Musandam peninsula, Strait of Hormuz, to C3 dominated reef (Ras Al Khaimah) that is situated only 35km away. Although Musandam and Ras Al Khaimah are close and experience similar summer thermal maxima, they are situated at the transition between the Gulf of Oman and the PAG and therefore, environmental variables other than thermal maxima, such as salinity [28] may be influencing the community structure. The clear separation of D and C3 communities contrasts the gradient observed in Porites symbioses [18], where there is a more gradual transition between the two symbiont types. As Porites spp. are vertical transmitters, there is the potential for transport of symbionts with the host larvae and this may increase the dispersal potential of C3 in Porites spp, relative to the C3 in the horizontally transmitting P. daedalea. The clear boundary between the C3 and D dominated communities in P. daedalea is in contrast to the IBD pattern observed in the host ITS marker and could reflect different processes affecting the distribution of the coral larvae and the algal symbionts.

Fig 2. Characterisation of symbiont communities in the southern PAG and Gulf of Oman.

Fig 2

(A) Bar charts indicate the proportion of colonies hosting each ITS2 type or combination of ITS2 types. Vertical separation within the bars indicates colonies where more than one symbiont type was present. (B) Radial phylogenetic tree depicting the relationships between C3 variants found in P. daedalea from PAG reefs, C3 variants from Porites spp. within the region and other C3 variants found elsewhere. The tree was generated by Bayesian inference analysis of the psbAncr region using the alignment generated in a previous study [18]. The branches containing samples from this study are shown in red with labelled arrows indicating the location of the samples (D: Delma; S: Saadiyat; R: Ras al Khaimah). The accession numbers for samples used to generate the tree are shown in S3 and S4 Tables.

The ITS2 type C3 found in the PAG have recently been described as a new species [25], Symbiodinium thermophilum, which is genetically distinct from other C3 variants, and explains the unusual occurrence of a purportedly sensitive symbiont in the thermal extreme PAG [24]. Analysis of the psbAncr sequences from the P. daedalea C3 symbionts in the Gulf demonstrated they are more closely related to S. thermophilum than other C3 variants, and revealed further diversity within this newly described lineage (Fig 2B). The apparent ubiquity of S. thermophilum among species in the southern PAG supports previous assertions that it may be important in the persistence of corals in this region [25, 26].

The differences observed in the structuring of coral-symbioses in the PAG and Gulf of Oman are likely to be driven by the oceanographic conditions. While the extremes in salinity and summer temperatures exert strong selective pressures on the corals and their symbionts, the circulation patterns may also impact the population structuring and connectivity. As P. daedalea is a broadcast spawner, dispersal will be strongly driven by hydrodynamic conditions. The water entering the PAG travels as a surface current and proceeds north along the Iranian coast, while the outflow from the PAG travels as a subsurface current [29]. The reduced direct mixing of Gulf of Oman waters with the southern PAG, subsurface outflow preventing transport of buoyant larvae, and long residence times of PAG waters (>3 years; [30]) may limit exchange between corals outside and inside the Gulf. Nevertheless, studies on Diadema setosum have shown comparatively lower structuring (Fst = 0.05) between PAG and Gulf of Oman sites than was observed for the P. daedalea ITS marker [31]. Furthermore, the circulation patterns evident at the Strait of Hormuz may help explain why the Musandam and Ras Al Khaimah symbiont communities are distinct, as the Musandam reef is strongly influenced by the Gulf of Oman whereas Ras Al Khaimah is found outside of the inflow limits [29].

Considering the additional thermal stress associated with predicted rising sea surface temperatures, there is increasing interest in understanding the processes that lead to survival of corals in existing extreme reefs. The data presented here suggest that survival in the world’s warmest reefs likely involves both partners of the symbiosis. Previous work has documented responses associated largely with only one of the partners [5, 6, 23]. However, the ITS data indicates that P. daedalea in the PAG exhibits structuring of both the host population and the symbiont communities, although further work is required to ascertain the relative contribution of the different environmental factors to the structuring. While temperature and salinity are major factors controlling the coral community composition in the north-eastern Arabian peninsula, other environmental factors such as chlorophyll a concentrations have an influence [12] and could also impact corals and their symbionts at the population scale. Nevertheless, the data presented here provide a platform on which the genomic basis of thermal tolerance and responses to other environmental factors can be explored in both the host and symbiont.

Materials and methods

Host and symbiont markers

P. daedalea was selected for this study as it is widespread throughout the tropics and is a dominant member of the PAG’s coral communities [32]. Small fragments (1cm3, 14–15 individuals per site) of P. daedalea were collected at <8m depth from six reefs (DEL, Delma; SAD, Saadiyat; RAK, Ras al Khaimah; MDM, Musandam; FUJ, Fujairah; MCT, Muscat) ranging from Western Abu Dhabi to Muscat in May and June 2013 (Fig 1; S1 Table). Samples were placed into ziplock bags and immediately transferred to dry ice, with long-term storage at -80°C.

The coral host was analysed using two nuclear markers, the ITS region of the nrDNA and a Pax-C intron, while the symbiont communities were characterised using DGGE analysis of the ITS2 marker. DNA was extracted using a CTAB phenol-chloroform protocol [33]. Both host and symbiont markers were amplified using the primers and PCR cycling conditions outlined in S2 Table. All PCRs were performed using the Advantage 2 HF Taq, with the exception of the psbAncr, and were purified using Qiagen PCR purification kits. The psbAncr marker was amplified using the PrimerStar GXL enzyme. The sequencing of the host and psbAncr markers were performed by Bioneer, South Korea, using the PCR primers. Sequences used in this study are available in GenBank (S4 Table).

Sequence chromatograms were visually inspected, secondary peaks called and manually checked in Sequencher 5.1. Double peaks were observed in 43% of the ITS region sequences, indicative of heterozygosity, as observed in other coral genera [19, 34]. As the chromatograms contained at most two sequences, they were processed under the framework used by Flot and coworkers [34]. One indel was common at the end of ITS sequences, but as it was at the end of our sequence alignment, it did not require deconvolution. Three individuals did possess length-variant heterozygote (LVH) sequences associated with single base indels and individual haplotypes were recovered from forward and reverse chromatograms using the software Champuru [35]. Indelligent [36] was used to recover the phase information from the remaining 30bp that were not covered by the reverse chromatogram. Haplotypes from the other heterozygous individuals were resolved statistically using PHASE [37] implemented using SeqPHASE [38]. The chromatograms for three individuals with phasing posterior probabilities below 0.9 were inspected and in two individuals, the haplotypes were confirmed based on differences in peak height at heterozygous positions. As the haplotypes for the remaining individual could not be determined unambiguously, we removed this individual from the ITS dataset. Both haplotypes from heterozygous individuals were included in the downstream population genetic analyses [19].

The PAX-C intron contained two common indel sites of 3bp and 4bp, separated by 360bp. As such, 60% of the sequences contained numerous double peaks indicative of length variant heterozygotes (LVHs). Forward and reverse sequences from LVHs were deconvoluted using Champuru [35]. The remaining sequences were phased using SeqPHASE and PHASE [37], with the haplotypes from the LVHs used as known haplotypes. The haplotypes for one sample could not be determined unambiguously and this sample was therefore not included in the analyses.

Pairwise ɸST comparisons (FST calculated using sequence divergence) and Mantel tests were calculated in WinArl 3.5.1.2 [39]. Haplotype networks were constructed in Network 5.0 and turned into “haplowebs” using Inkscape. Haplotype frequencies for both markers are shown in S5 and S6 Tables.

Symbiont community DGGE analyses

The DGGE analyses performed here follow the protocol outlined by Hume and coworkers [25]. Briefly, for all samples, the complete ITS1-5.8S-ITS2 region of the symbiont nrDNA was amplified using the primers and PCR conditions li0073ted in S2 Table. The resulting products were subsequently run on a 0.8% agarose gel and excised with a scalpel. The excised bands were homogenised in 500μl of deionised water using a micropestle. The ITS2 amplification with DGGE clamp was performed as per S2 Table using the homogenate as the template.

The DGGE analyses were performed on a BioRad DCode system with a model 475 gradient former. 10μl of PCR product was mixed with 10μl of 2x loading dye, and loaded into an 8% gel with a 32.5–57.5% gradient. The gel was run for ~1400Vh. Using the 16 well comb, 14 samples were loaded per gel, with 4 reference ladders. DGGE profiles that were identified as novel (i.e. had not been characterised previously) were first validated as genuine ITS2 sequence variants as opposed to structural conformations (as per [25]) and were subsequently cloned using the Strataclone kit, according to the manufacturers protocol, and plasmids sequenced by a commercial provider (Eurofins). Sequences were cropped and local BLAST performed against the KAUST ITS2 database [40] to avoid conflicting assignments from different sources within GenBank. In this study, we observed novel banding patterns for three clade D types (compared to sequenced variant used in the ladder), ITS2 type C39 (S3 Fig) and C1v1 (1bp different from ITS2 type C1). The novel clade D types were characterised by a variant that contained one homoduplex (D5), while the other two variants (Dv1 and Dv2) contained more than one homoduplex. Dv1 was characterised by two homoduplexes (D5 and D6). The presence of multiple heteroduplexes in the banding pattern for clade D variant Dv2 (S3 Fig) indicates the presence of multiple ITS2 types of which some either co-migrant with other homoduplexes or are below the detection limit. Cloning of 12 ITS2 sequences from this individual revealed 7 unique ITS2 sequences that were within 2 substitutions from ITS2 types D1, D4 and D6 (3 ITS2 exact matches, 3 sequences with 1 mismatch, 1 sequence with 2 substitutions). As the DGGE fingerprints are sufficient for distinguishing symbiont types [41], determining the exact composition of dominant sequence/s within this fingerprint is beyond the scope of this study. Symbiont ITS2 type frequencies are shown in S7 Table.

Analysis of the psbAncr marker

The non-coding region of the PsbA minicircle (psbAncr) was amplified using custom primers and the PCR conditions shown in S2 Table. For each southern PAG site, psbAncr sequences were obtained through direct sequencing of 5 corals shown to host ITS2 type C3 in the DGGE analyses. The psbAncr sequences were aligned in MEGA6 to S. thermophilum sequences from the Gulf, in addition to other C3 types and closely related variants. A phylogenetic tree was created using the parsimony model of Mr. Bayes, with the Jukes Cantor model and gamma distribution. The MCMC was run for 2x106 generations, and sampled every 1000 generations with a burn-in of 0.25. The majority 50% consensus tree imported into Dendroscope [42] for visualisation.

Remote sensing

Monthly averaged MODIS Level 3 9km 11μm daytime SST products were downloads from the NASA Ocean Color site (http://oceancolor.gsfc.nasa.gov/). Data with flag values >0 were removed from analyses. The average maximum SST was calculated from the mean of the annual maximum of the monthly averaged SST over a 10-year period (2004–2014).

Statistics

The composition of symbiont ITS2 types within the PAG were compared to the communities outside of the PAG (Strait of Hormuz and Gulf of Oman) using a Fisher-Freeman-Halton Exact test implemented in StatXact 11.

Ethics statement

Coral collections were performed under permits from the Environment Agency Abu Dhabi and Fujairah municipality (United Arab Emirates), and the Ministry of Environment (Oman). No ethical approval was required for the laboratory work performed in this study.

Data available from the Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.3k3m2.

Supporting information

S1 Table. Site and sampling information.

Sample groups refer to classification of sites used for comparisons of symbiont communities. Mean SSTs are calculated from MODIS data as described in the Methods section.

(DOCX)

S2 Table. Primers and cycling conditions for PCRs performed in this study.

Modified from a previous study [43]; Custom ITS region primers for Platygyra; * Custom primers to amplify psbAncr from clade C and D symbionts.

(DOCX)

S3 Table. ITS2 types and associated psbAncr sequence accession numbers for sequences used from previous studies [18, 25, 44, 45] to generate the phylogenetic tree (Fig 2B).

Sequences highlighted in grey belong to the Symbiodinium thermophilum lineage. Accession numbers for new psbAncr sequences are shown in S4 Table.

(DOCX)

S4 Table. GenBank accession numbers for sequences used in this study.

(DOCX)

S5 Table. Haplotype frequencies for the ITS intron.

(DOCX)

S6 Table. Haplotype frequences for the host Pax-C region.

(DOCX)

S7 Table. Symbiont ITS2 types associated with individuals at each site.

Each count represents the presence in an individual, including individuals that hosted mixed communities.

(DOCX)

S1 Fig. Haploweb for the host ITS marker.

The haplotype network (straight lines) connects haplotypes (represented as circles) based on the inferred evolutionary pathways between them. The curved lines (pink) connect haplotypes that are co-occuring in heterozygous individuals, with the thickness of the line proportional to the abundance of the heterozygous individuals. The diameter of circles representing the different haplotypes are proportional to the number of individuals that possess that haplotype and are coloured according to their relative frequency at the different sites (Red = Delma, Orange = Saadiyat, Yellow = Ras al Khaimah, Green = Musandam, Turquoise = Fujairah, Blue = Muscat).

(TIF)

S2 Fig. Haploweb for the host Pax-C marker.

The haplotype network (straight lines) connects haplotypes (represented as circles) based on the inferred evolutionary pathways between them. The curved lines (pink) connect haplotypes that are co-occuring in heterozygous individuals, with the thickness of the line proportional to the abundance of the heterozygous individuals. The diameter of circles representing the different haplotypes are proportional to the number of individuals that possess that haplotype and are coloured according to their relative frequency at the different sites (Red = Delma, Orange = Saadiyat, Yellow = Ras al Khaimah, Green = Musandam, Turquoise = Fujairah, Blue = Muscat).

(TIF)

S3 Fig. DGGE banding profiles observed in this study.

Each banding profile is labelled by the ITS2 designation above the fingerprint and shown next to its corresponding ladder (L). In cases where more than one symbiont type is present, both ITS2 designations are indicated. White arrows indicate the characteristic homoduplexes that have been extracted and sequenced previously or in this study.

(TIF)

S1 Dataset. ITS and Pax-C marker phase posterior probabilities.

(XLSX)

S2 Dataset. Alignment of the host ITS region.

(FAS)

S3 Dataset. Alignment of the host Pax-C intron.

(FAS)

Data Availability

All sequences are available from the GenBank database (accession numbers KX026868-KX026891, KX026897-KX026910, KX026933-KX026947). Alignments of the ITS and Pax-C markers are provided in Supplementary S2 and S3 Datasets. Sequencing chromatograms are available from DRYAD: http://dx.doi.org/10.5061/dryad.3k3m2.

Funding Statement

This work was funded by New York University Abu Dhabi’s Research Enhancement Fund (ES and JB) and by Natural Environment Research Council (NE/I01683X/1 to JW), European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / European Research Council Grant Agreement n. 311179 to JW. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Goreau T, McClanahan T, Hayes R, Strong A. Conservation of coral reefs after the 1998 global bleaching event. Conserv Biol. 2000;14(1): 5–15. [Google Scholar]
  • 2.IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, 2014.
  • 3.Mostafavi PG, Fatemi SMR, Shahhosseiny MH, Hoegh-Guldberg O, Loh WKW. Predominance of clade D Symbiodinium in shallow-water reef-building corals off Kish and Larak Islands (Persian Gulf, Iran). Mar Biol. 2007;153(1):25–34. [Google Scholar]
  • 4.Baker AC, Starger CJ, McClanahan TR, Glynn PW. Coral reefs: corals' adaptive response to climate change. Nature. 2004;430(7001): 741 doi: 10.1038/430741a [DOI] [PubMed] [Google Scholar]
  • 5.Barshis D, Stillman J, Gates R, Toonen R, Smith L, Birkeland C. Protein expression and genetic structure of the coral Porites lobata in an environmentally extreme Samoan back reef: does host genotype limit phenotypic plasticity? Mol Ecol. 2010;19(8):1705–1720. doi: 10.1111/j.1365-294X.2010.04574.x [DOI] [PubMed] [Google Scholar]
  • 6.Kenkel C, Meyer E, Matz M. Gene expression under chronic heat stress in populations of the mustard hill coral (Porites astreoides) from different thermal environments. Mol Ecol. 2013;22(16): 4322–4334. doi: 10.1111/mec.12390 [DOI] [PubMed] [Google Scholar]
  • 7.Baird AH, Bhagooli R, Ralph PJ, Takahashi S. Coral bleaching: the role of the host. Trends Ecol Evolut. 2009;24(1): 16–20. [DOI] [PubMed] [Google Scholar]
  • 8.Kleypas JA, McManus JW, Meñez LA. Environmental Limits to Coral Reef Development: Where Do We Draw the Line? Amer Zool. 1999;39:146–159. [Google Scholar]
  • 9.Coles SL, Riegl BM. Thermal tolerances of reef corals in the Gulf: A review of the potential for increasing coral survival and adaptation to climate change through assisted translocation. Mar Poll Bull. 2013;72(2): 323–332. [DOI] [PubMed] [Google Scholar]
  • 10.Smith E, Vaughan G, Ketchum R, McParland D, Burt J. Symbiont community stability through severe coral bleaching in a thermally extreme lagoon. Sci Rep. 2017;7(1): 2428 doi: 10.1038/s41598-017-01569-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Shuail D, Wiedenmann J, D'angelo C, Baird AH, Pratchett MS, Riegl B, et al. Local bleaching thresholds established by remote sensing techniques vary among reefs with deviating bleaching patterns during the 2012 event in the Arabian/Persian Gulf. Mar Poll Bull. 2016;105(2): 654–659. [DOI] [PubMed] [Google Scholar]
  • 12.Bauman AG, Feary DA, Heron SF, Pratchett MS, Burt JA. Multiple environmental factors influence the spatial distribution and structure of reef communities in the northeastern Arabian Peninsula. Mar Poll Bull. 2013;72(2): 302–312. [DOI] [PubMed] [Google Scholar]
  • 13.Lambeck K. Shoreline reconstructions for the Persian Gulf since the last glacial maximum. Earth Planet Sci Lett. 1996;142(1–2): 43–57. [Google Scholar]
  • 14.Flot J-F, Couloux A, Tillier S. Haplowebs as a graphical tool for delimiting species: a revival of Doyle's" field for recombination" approach and its application to the coral genus Pocillopora in Clipperton. BMC Evol Biol. 2010;10(1): 372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Doyle JJ. The irrelevance of allele tree topologies for species delimitation, and a non-topological alternative. Syst Bot. 1995;20: 574–588. [Google Scholar]
  • 16.Takabayashi M, Carter D, Lopez J, Hoegh-Guldberg O. Genetic variation of the scleractinian coral Stylophora pistillata, from western Pacific reefs. Coral Reefs. 2003;22(1): 17–22. [Google Scholar]
  • 17.Sanford E, Kelly MW. Local adaptation in marine invertebrates. Ann Rev Mar Sci. 2011;3: 509–535. doi: 10.1146/annurev-marine-120709-142756 [DOI] [PubMed] [Google Scholar]
  • 18.D'Angelo C, Hume BC, Burt J, Smith EG, Achterberg EP, Wiedenmann J. Local adaptation constrains the distribution potential of heat-tolerant Symbiodinium from the Persian/Arabian Gulf. ISME J. 2015;9: 2551–2560. doi: 10.1038/ismej.2015.80 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Goodbody‐Gringley G, Woollacott RM, Giribet G. Population structure and connectivity in the Atlantic scleractinian coral Montastraea cavernosa (Linnaeus, 1767). Mar Ecol. 2012;33(1): 32–48. [Google Scholar]
  • 20.Flot J-F, Magalon H, Cruaud C, Couloux A, Tillier S. Patterns of genetic structure among Hawaiian corals of the genus Pocillopora yield clusters of individuals that are compatible with morphology. C R Biol. 2008;331(3): 239–247. doi: 10.1016/j.crvi.2007.12.003 [DOI] [PubMed] [Google Scholar]
  • 21.Flot J-F, Dahl M, André C. Lophelia pertusa corals from the Ionian and Barents seas share identical nuclear ITS2 and near-identical mitochondrial genome sequences. BMC Res Notes. 2013;6(1): 144. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Shearer T, Van Oppen M, Romano S, Wörheide G. Slow mitochondrial DNA sequence evolution in the Anthozoa (Cnidaria). Mol Ecol. 2002;11(12): 2475–87. [DOI] [PubMed] [Google Scholar]
  • 23.Keshavmurthy S, Hsu C, Kuo C, Meng P, Wang J, Chen C. Symbiont communities and host genetic structure of the brain coral Platygyra verweyi, at the outlet of a nuclear power plant and adjacent areas. Mol Ecol. 2012;21(17): 4393–4407. doi: 10.1111/j.1365-294X.2012.05704.x [DOI] [PubMed] [Google Scholar]
  • 24.Hume B, D’Angelo C, Burt J, Baker A, Riegl B, Wiedenmann J. Corals from the Persian/Arabian Gulf as models for thermotolerant reef-builders: Prevalence of clade C3 Symbiodinium, host fluorescence and ex situ temperature tolerance. Mar Poll Bull. 2013;72(2): 313–322. doi: 10.1016/j.marpolbul.2012.11.032 [DOI] [PubMed] [Google Scholar]
  • 25.Hume B, D'Angelo C, Smith E, Stevens J, Burt J, Wiedenmann J. Symbiodinium thermophilum sp. nov., a thermotolerant symbiotic alga prevalent in corals of the world's hottest sea, the Persian/Arabian Gulf. Sci Rep. 2015;5: 8562 doi: 10.1038/srep08562 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Hume BC, Voolstra CR, Arif C, D’Angelo C, Burt JA, Eyal G, et al. Ancestral genetic diversity associated with the rapid spread of stress-tolerant coral symbionts in response to Holocene climate change. PNAS. 2016;113(16): 4416–4421. doi: 10.1073/pnas.1601910113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Smith EG, Ketchum RN, Burt JA. Host specificity of Symbiodinium variants revealed by an ITS2 metahaplotype approach. ISME J. 2017;11: 1500–1503. doi: 10.1038/ismej.2016.206 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Yao F, Johns WE. A HYCOM modeling study of the Persian Gulf: 1. Model configurations and surface circulation. J Geophys Res. 2010;115: C11. [Google Scholar]
  • 29.Reynolds RM. Physical oceanography of the Gulf, Strait of Hormuz, and the Gulf of Oman—Results from the Mt Mitchell expedition. Mar Poll Bull. 1993;27: 35–59. [Google Scholar]
  • 30.Alosairi Y, Imberger J, Falconer RA. Mixing and flushing in the Persian Gulf (Arabian Gulf). J Geophys Res. 2011;116: C3. [Google Scholar]
  • 31.Lessios H, Kessing B, Pearse J. Population structure and speciation in tropical seas: global phylogeography of the sea urchin Diadema. Evolution. 2001;55(5): 955–975. [DOI] [PubMed] [Google Scholar]
  • 32.Burt J, Al-Harthi S, Al-Cibahy A. Long-term impacts of coral bleaching events on the world’s warmest reefs. Mar Environ Res. 2011;72(4): 225–229. doi: 10.1016/j.marenvres.2011.08.005 [DOI] [PubMed] [Google Scholar]
  • 33.Hartle-Mougiou K, D'angelo C, Smith EG, Burt J, West P, Wiedenmann J. Diversity of zooxanthellae from corals and sea anemones after long-term aquarium culture. J Mar Biol Assoc U.K. 2012;92(04): 687–691. [Google Scholar]
  • 34.Flot J-F, Blanchot J, Charpy L, Cruaud C, Licuanan WY, Nakano Y, et al. Incongruence between morphotypes and genetically delimited species in the coral genus Stylophora: phenotypic plasticity, morphological convergence, morphological stasis or interspecific hybridization? BMC Ecol. 2011;11(1): 22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Flot JF. Champuru 1.0: a computer software for unraveling mixtures of two DNA sequences of unequal lengths. Mol Ecol Notes. 2007;7(6): 974–977. [Google Scholar]
  • 36.Dmitriev DA, Rakitov RA. Decoding of superimposed traces produced by direct sequencing of heterozygous indels. PLoS Comput Biol. 2008;4(7): e1000113 doi: 10.1371/journal.pcbi.1000113 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Stephens M, Smith NJ, Donnelly P. A new statistical method for haplotype reconstruction from population data. Am J Hum Genet. 2001;68(4): 978–989. doi: 10.1086/319501 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Flot JF. SeqPHASE: a web tool for interconverting PHASE input/output files and FASTA sequence alignments. Mol Ecol Res. 2010;10(1):162–166. [DOI] [PubMed] [Google Scholar]
  • 39.Excoffier L, Lischer HE. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Res. 2010;10(3): 564–567. [DOI] [PubMed] [Google Scholar]
  • 40.Arif C, Daniels C, Bayer T, Banguera‐Hinestroza E, Barbrook A, Howe CJ, et al. Assessing Symbiodinium diversity in scleractinian corals via next‐generation sequencing‐based genotyping of the ITS2 rDNA region. Mol Ecol. 2014;23(17): 4418–4433. doi: 10.1111/mec.12869 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.LaJeunesse TC, Pettay DT, Sampayo EM, Phongsuwan N, Brown B, Obura DO, et al. Long‐standing environmental conditions, geographic isolation and host–symbiont specificity influence the relative ecological dominance and genetic diversification of coral endosymbionts in the genus Symbiodinium. J Biogeogr. 2010;37(5): 785–800. [Google Scholar]
  • 42.Huson DH, Scornavacca C. Dendroscope 3: an interactive tool for rooted phylogenetic trees and networks. Syst Biol. 2012;61(6): 1061–1067. doi: 10.1093/sysbio/sys062 [DOI] [PubMed] [Google Scholar]
  • 43.Schwartz SA, Budd AF, Carlon DB. Molecules and fossils reveal punctuated diversification in Caribbean “faviid” corals. BMC Evol Biol. 2012;12(1): 123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.LaJeunesse TC, Thornhill DJ. Improved resolution of reef-coral endosymbiont (Symbiodinium) species diversity, ecology, and evolution through psbA non-coding region genotyping. PloS ONE. 2011;6(12): e29013 doi: 10.1371/journal.pone.0029013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Thornhill DJ, Lewis AM, Wham DC, LaJeunesse TC. Host-specialist lineages dominate the adaptive radiation of reef coral endosymbionts. Evolution. 2014;68(2): 352–367. doi: 10.1111/evo.12270 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Site and sampling information.

Sample groups refer to classification of sites used for comparisons of symbiont communities. Mean SSTs are calculated from MODIS data as described in the Methods section.

(DOCX)

S2 Table. Primers and cycling conditions for PCRs performed in this study.

Modified from a previous study [43]; Custom ITS region primers for Platygyra; * Custom primers to amplify psbAncr from clade C and D symbionts.

(DOCX)

S3 Table. ITS2 types and associated psbAncr sequence accession numbers for sequences used from previous studies [18, 25, 44, 45] to generate the phylogenetic tree (Fig 2B).

Sequences highlighted in grey belong to the Symbiodinium thermophilum lineage. Accession numbers for new psbAncr sequences are shown in S4 Table.

(DOCX)

S4 Table. GenBank accession numbers for sequences used in this study.

(DOCX)

S5 Table. Haplotype frequencies for the ITS intron.

(DOCX)

S6 Table. Haplotype frequences for the host Pax-C region.

(DOCX)

S7 Table. Symbiont ITS2 types associated with individuals at each site.

Each count represents the presence in an individual, including individuals that hosted mixed communities.

(DOCX)

S1 Fig. Haploweb for the host ITS marker.

The haplotype network (straight lines) connects haplotypes (represented as circles) based on the inferred evolutionary pathways between them. The curved lines (pink) connect haplotypes that are co-occuring in heterozygous individuals, with the thickness of the line proportional to the abundance of the heterozygous individuals. The diameter of circles representing the different haplotypes are proportional to the number of individuals that possess that haplotype and are coloured according to their relative frequency at the different sites (Red = Delma, Orange = Saadiyat, Yellow = Ras al Khaimah, Green = Musandam, Turquoise = Fujairah, Blue = Muscat).

(TIF)

S2 Fig. Haploweb for the host Pax-C marker.

The haplotype network (straight lines) connects haplotypes (represented as circles) based on the inferred evolutionary pathways between them. The curved lines (pink) connect haplotypes that are co-occuring in heterozygous individuals, with the thickness of the line proportional to the abundance of the heterozygous individuals. The diameter of circles representing the different haplotypes are proportional to the number of individuals that possess that haplotype and are coloured according to their relative frequency at the different sites (Red = Delma, Orange = Saadiyat, Yellow = Ras al Khaimah, Green = Musandam, Turquoise = Fujairah, Blue = Muscat).

(TIF)

S3 Fig. DGGE banding profiles observed in this study.

Each banding profile is labelled by the ITS2 designation above the fingerprint and shown next to its corresponding ladder (L). In cases where more than one symbiont type is present, both ITS2 designations are indicated. White arrows indicate the characteristic homoduplexes that have been extracted and sequenced previously or in this study.

(TIF)

S1 Dataset. ITS and Pax-C marker phase posterior probabilities.

(XLSX)

S2 Dataset. Alignment of the host ITS region.

(FAS)

S3 Dataset. Alignment of the host Pax-C intron.

(FAS)

Data Availability Statement

All sequences are available from the GenBank database (accession numbers KX026868-KX026891, KX026897-KX026910, KX026933-KX026947). Alignments of the ITS and Pax-C markers are provided in Supplementary S2 and S3 Datasets. Sequencing chromatograms are available from DRYAD: http://dx.doi.org/10.5061/dryad.3k3m2.


Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES