Pocillopora damicornis (Linnaeus, 1758; Scleractinia, Pocilloporidae) has recently been found to comprise at least five distinct genetic lineages in Eastern Australia, some of which likely represent cryptic species. Due to similar and plastic gross morphology of these lineages, field identification is often difficult. Here we present a quick, cost effective genetic assay as well as three novel microsatellite markers that distinguish the two most common lineages found on the Great Barrier Reef. The assay is based on PCR amplification of two regions within the mitochondrial putative control region, which show consistent and easily identifiable fragment size differences for the two genetic lineages after Alu1 restriction enzyme digestion of the amplicons.
Citation: Torda G, Schmidt-Roach S, Peplow LM, Lundgren P, van Oppen MJH (2013) A Rapid Genetic Assay for the Identification of the Most Common Pocillopora damicornis Genetic Lineages on the Great Barrier Reef. PLoS ONE 8(3): e58447. doi:10.1371/journal.pone.0058447
Editor: Tilmann Harder, University of New South Wales, Australia
Received: November 17, 2012; Accepted: February 4, 2013; Published: March 7, 2013
Copyright: © 2013 Torda et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: This work has been funded by the Australian Government’s Marine and Tropical Sciences Research Fund (MTSRF), and AIMS@JCU, a collaborative scheme between the Australian Institute for Marine Science and James Cook University. G.T. is supported by the James Cook University Postgraduate Research Scholarship, and both G.T. and S.S-R. are supported by an Endeavour International Postgraduate Research Scholarship. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Many scleractinian coral species show high morphological variability that has been related to differing environmental conditions. Reciprocal transplant experiments have demonstrated that the same genet may exhibit different growth forms in response to light and water movement intensities , . However, some putative eco-morphs within single species represent distinct genetic lineages –.
Pocillopora damicornis (Linnaeus, 1758) is a key model scleractinian coral species displaying a wide spectrum of morphotypes throughout its range , some of which occur in sympatry. The biology of this species, especially its reproductive modes, seasonality and lunar periodicity have often been found to be unexplainably variable, sometimes contradicting, among and even within studies, e.g. –. Recently, four independent studies have discovered sympatric, but seemingly reproductively isolated genetic lineages within the morphospecies P. damicornis: Flot et al.  report five distinct mitochondrial lineages from Hawaii, Pinzón and LaJeunesse  found three genetic lineages in the Tropical East Pacific, Souter  identified two from the coasts of Tanzania and Kenya, and Schmidt-Roach et al.  describe five lineages from the coast of Eastern Australia. The latter study showed that the genetic lineages of P. damicornis sensu  differ in their mode of reproduction, as well as in seasonal and lunar reproductive peaks. In light of these new results, the complex biology of the morphospecies P. damicornis should be re-visited, using the newly identified genetic lineages as the units of observation. Although the genetic lineages seem to be associated with phenotypic characteristics, phenotypic plasticity and cryptic appearance complicate confident identification, especially for the untrained eye. Currently, the only practical technique to differentiate among these genetic lineages is sequencing mitochondrial regions characteristic for each lineage . However, the relatively high costs and time-consuming nature of this procedure make their routine application to large sample sets unrealistic.
This paper presents a quick and relatively low-cost genetic assay to reliably identify the two most common, and best resolved genetic lineages of P. damicornis from the Great Barrier Reef (GBR), Types α and β . Our assay targets the mtDNA putative control region, as described in , by RFLP analysis of PCR amplicons. We tested the performance of the assay by comparing its results against two datasets: (i) 145 coral samples with known lineage identity based on a multi-locus (both nuclear and mtDNA) sequence analysis  (Table 1), and (ii) 329 samples of P. damicornis sensu , collected around Lizard Island, central GBR, and characterised by nine polymorphic microsatellite loci, three of which were developed as part of this study.
Materials and Methods
All necessary permits were obtained for the described field studies. Specimens for this study were collected under permit numbers G08/28215.1 and G09/30237.1, issued by the Australian Government’s Great Barrier Reef Marine Park Authority. The locations of sample collection are not privately-owned, and no endangered or protected species were collected.
We searched the genome of pocilloporid species for conserved lineage-specific indels. Following unsuccessful trials on nuclear genomes, we aligned the putative control region (i.e., the region between the atp8 and cox1 genes  of the mitochondrial genome) of pocilloporid species, including the newly identified genetic lineages that are present on the GBR. The alignment of GenBank sequences NC_009797.1, NC_009798.1, NC_010244.2, NC_010245.2, NC_011162.1, NC_011160.1, JX624790– JX625114 in BioEdit v7.0.1  using ClustalW Multiple Alignment  showed that an eight-bp deletion is characteristic for P. damicornis Type α and a six-bp deletion is unique for Type β, sensu Schmidt-Roach et al. . The design of primers that directly bind to these lineage-specific indels was unsuccessful, therefore, using the web-based program Primer3  we developed primers that target the region containing both indels, with a total length of 705 (Type α), 707 (Type β), and 713 bp (all other Pocillopora spp. and genetic lineages, hereafter “other Pocillopora”). Primer sequences are Pdam-F 5′-AAG AAG ATT CGG GCT CGT TT-3′ and Pdam-R 5′-CGC CTC CTC TAC CAA GAC AG-3′. These primer sequences do not occur in the mtDNA genome of the pocilloporid genera Seriatopora and Stylophora. The detection of such small amplicon size differences is challenging. Therefore, to facilitate rapid and reliable identification, i.e. to enable the use of simple agarose gels with reasonable electrophoresis time without compromising identification accuracy, we included a digestion step with Alu1. This restriction enzyme digest generates a unique banding pattern for Type α (84, 116 and 389 bp fragments), Type β (92, 110, 116 and 389 bp fragments) and “other Pocillopora” (92, 116 and 389 bp fragments; Figure 1), that is recognisable on a high density agarose gel.
The primer pair Pdam -F and -R amplifies a region that contains two type-specific deletions: a 6-bp deletion in the mtDNA of Type β specimens, and an 8-bp deletion in Type α specimens. The amplicon, when subjected to Alu1 restriction digestion, gives unique and readily recognizable fragment sizes for Type α, Type β and all other Pocillopora species and lineage types. Scissors indicate Alu1 recognition sites, numbers show the size of the corresponding fragments in bp.
Testing the Assay
The assay was first tested on the 145 DNA samples that were used in the phylogenetic study of Schmidt-Roach et al.  (Table 1). PCR reactions were run in 10 µl volumes using a Qiagen Multiplex PCR Kit (Qiagen®), following the manufacturer’s protocol, with 2 pmol of both primers, and approximately 40 ng of the template DNA. Thermal cycling protocol was 15 min at 95°C, 30× (30 s at 95°C; 90 s at 60°C and 60 s at 72°C) and 10 min at 60°C. PCR products were subjected to Alu1 restriction enzyme digestion without purification for 1 hour at 37°C, using 5 µl of PCR product with 0.25 µl (2.5 U) of Alu1 enzyme and 1 µl of 10× NE Buffer 4 (BioLabs Inc.) in a 10 µl reaction. Five µl of the digested products were run on 4% TBE agarose gels (15×20.5 cm in size) for 4 hrs at 150 Volts. Banding patterns were scored manually. The resulting lineage identities of samples were compared to the published phylogenetic memberships .
We also compared the assay’s performance to an independent 329 P. damicornis sensu  multilocus microsatellite genotypes. These samples were collected at Lizard Island, northern GBR, and stored in absolute ethanol, until extracting DNA by a modified protocol of the salt precipitation method described in Wilson et al. . Microsatellite primers developed by Magalon et al.  and Starger et al.  were tested for amplification and polymorphism on a random subset of 50 samples. One marker from Magalon et al.  and five from Starger et al.  were found to be polymorphic in our samples. To increase the discriminative power of genotyping, we developed additional microsatellite markers, as follows. Twelve P. damicornis colonies were collected at Orpheus Island, central GBR, and were transferred into aquaria at the Australian Institute of Marine Science. After an acclimatization time of four days, colonies were bleached with 10 µg l−1 of the herbicide diuron  over two weeks to remove most Symbiodinium cells from the coral tissue. Bleached fragments of each colony were preserved in absolute ethanol. DNA was extracted using the Qiagen DNEasy Tissue Kit and checked for Symbiodinium contamination by amplification of the ITS region, according to Coleman et al. . None of the twelve samples showed amplification for Symbiodinium and were used for microsatellite isolation following Glenn and Schable . After the creation of an enriched microsatellite library, primers for 15 microsatellites were designed using Primer3, and these loci were tested for polymorphism. Three marker sets were identified to amplify polymorphic microsatellite regions (Table 2), and were pooled with the selected markers from Magalon et al.  and Starger et al.  in three multiplex and one simplex PCR reactions (Table 3).
All 329 P. damicornis DNA samples were genotyped at the nine microsatellite loci, following the Qiagen Multiplex PCR Kit (Qiagen®) protocol, using 0.5 pmol of the M13-tailed F primers, and 2 pmols of all other primers (Table 3). Thermal cycling was similar to the assay’s protocol, adjusting the annealing temperatures as per Table 3. PCR products were separated on a MegaBACE 1000 DNA Analysis System. Electropherograms were analyzed using MegaBACE Fragment Profiler v1.2 (Amersham Biosciences). All automatic scoring was checked manually.
The Bayesian clustering method implemented in STRUCTURE v2.3.3  was run on the multilocus genotype dataset for K = 3, using the admixture model without locprior, and independent allele frequencies without initial population information, with a burn-in of 100,000 and 100,000 MCMC replications after the burn-in. Additionally, a Factorial Correspondence Analysis (FCA) was carried out in Genetix 4.05.2  on the multilocus genotypes. The first two coordinates were plotted for visual analysis. The PCR RFLP assay was run on the same 329 DNA samples.
Results and Discussion
Consistent with our expectations, three easily distinguishable banding patterns were seen on the agarose gels after running the assay on any Pocillopora DNA sample (Figure 2). The assay correctly identified all GBR samples from the study of Schmidt-Roach et al.  as either Type α, β or “other Pocillopora”, and classified the Type α LHI samples as “other Pocillopora” (Table 1). The taxonomic status of Type α LHI specimens is uncertain, but some evidence shows that they represent a distinct genetic lineage , therefore the assay correctly identified these as “other Pocillopora”. Since the GBR samples originate from 10 different reefs, spanning more than 12° of latitude, these results provide high confidence of the appropriateness of the assay as an identification tool for the whole of the GBR. Testing the assay on populations outside the East coast of Australia was beyond the scope of this study, therefore we recommend sequencing a representative number of specimens in any non-GBR population to determine whether the type-specific deletions are present, prior to adopting the presented assay as an identification tool.
A 100 bp ladder is run in the left-hand side lane.
The PCR RFLP assay identified 205 Type α, 93 Type β, and 31 “other Pocillopora” specimens among the 329 samples from Lizard Island. The Bayesian model clustered specimens according to their mtDNA lineage identity (Figure 3). Similarly, the FCA of the multilocus microsatellite genotypes showed three well distinguished clusters that correspond to the genetic lineage identity, assigned by the assay (Figure 4). The congruence between the nuclear microsatellite and mtDNA data strengthens the hypothesis that these lineages are genetically and hence reproductively isolated.
Genetic lineage was determined by the PCR RFLP assay.
The first two coordinates explain 100% of the variability. Genetic lineage was determined by the PCR RFLP assay.
The genetic assay presented here provides a simple means to ensure that future studies avoid sample misidentification in P. damicornis. Furthermore, while the recruits of pocilloporid species are readily distinguished from the recruits of other scleractinian families by their characteristic skeletal structures , species identification of recruits merely by morphology is very unreliable. The primers of this assay were designed to only amplify Pocillopora spp. DNA, and not the DNA from other pocilloporid genera. The assay is therefore also suitable to reliably identify Type α and Type β P. damicornis from among pocilloporid recruits, which will open doors to genetic lineage-specific recruitment studies.
The authors are grateful to Andrew Muirhead for his valuable assistance with labwork, and to numerous volunteers who participated in the collection of coral samples.
Critically reviewed the manuscript: SSR LMP PL MJHVO. Conceived and designed the experiments: GT SSR LMP PL MJHVO. Performed the experiments: GT. Analyzed the data: GT. Contributed reagents/materials/analysis tools: GT SSR PL MJHVO LMP. Wrote the paper: GT.
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