Figures
Abstract
Haminoea japonica is a species of opisthobranch sea slug native to Japan and Korea. Non-native populations have spread unnoticed for decades due to difficulties in the taxonomy of Haminoea species. Haminoea japonica is associated with a schistosome parasite in San Francisco Bay, thus further spread could have consequence to human health and economies. Anecdotal evidence suggests that H. japonica has displaced native species of Haminoea in North America and Europe, becoming locally dominant in estuaries and coastal lagoons. In this paper we study the population genetics of native and non-native populations of H. japonica based on mt-DNA data including newly discovered populations in Italy and France. The conclusions of this study further corroborate a Northeastern Japan origin for the non-native populations and suggest possible independent introductions into North America and Europe. Additionally, the data obtained revealed possible secondary introductions within Japan. Although non-native populations have experienced severe genetic bottlenecks they have colonized different regions with a broad range of water temperatures and other environmental conditions. The environmental tolerance of this species, along with its ability to become dominant in invaded areas and its association with a schistosome parasite, suggest H. japonica could be a dangerous invasive species.
Citation: Hanson D, Cooke S, Hirano Y, Malaquias MAE, Crocetta F, Valdés Á (2013) Slipping through the Cracks: The Taxonomic Impediment Conceals the Origin and Dispersal of Haminoea japonica, an Invasive Species with Impacts to Human Health. PLoS ONE 8(10): e77457. https://doi.org/10.1371/journal.pone.0077457
Editor: Judi Hewitt, University of Waikato (National Institute of Water and Atmospheric Research), New Zealand
Received: July 16, 2013; Accepted: September 10, 2013; Published: October 3, 2013
Copyright: © 2013 Hanson 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 was supported by the California State University Agricultural Research Institute (ARI) (http://www.csupomona.edu/~ari/), the Ernest Prete, Jr. Student Environmental Research Fellowship, the Southern California Academy of Sciences (http://scas.nhm.org/), Conchologists of America (http://www.conchologistsofamerica.org/home/), the Houston Conchology Society (http://www.houstonshellclub.com/), the Research, Scholarship and Creative Activity (RSCA) Program at California State University (http://www.csupomona.edu/~research/rsp/rsca_info.shtml), and the California State University Council on Ocean Affairs, Science, and Technology (COAST) (http://www.calstate.edu/coast/index.asp). 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.
Introduction
Existing gaps in taxonomic knowledge and the shortage of trained taxonomists to fill the need to identify living organisms are collectively known as the taxonomic impediment [1,2]. The taxonomic impediment has implications for invasion biology [3]. Because alien species can come from all over the world, proper identification of newly arrived species is a major challenge [3]. Misidentification of these species can have serious consequences. For example, early detection is critical to manage and control alien species [4], thus confusing newly arrived aliens with native species can delay early intervention and exacerbate the problem. When those alien species impact human health and economies or harm native populations [5,6], early detection and control become even more critical.
In this paper we study the spread of Haminoea japonica, an opisthobranch sea slug native to Japan and Korea with a non-native range including the west coast of North America, Spain, Italy and France [7,8]. Documentation of the spread of H. japonica has been hampered by the taxonomic impediment. For example, the first record of this species in North America was published as a new species, Haminoea callidegenita Gibson and Chia, 1989 [7]. Additionally, the first COI sequence of H. japonica published in GenBank (DQ238004) was misidentified as belonging to Haminoea hydatis (Linnaeus, 1758), a morphologically similar European species. Considering the current known range of H. japonica in Italy [9], it seems plausible or even likely that this species might have colonized large areas of the western Mediterranean and Adriatic Sea but remains undetected due to its external similarity to some native Haminoea species and the lack of trained biologist capable of proper identification of specimens. Most alarming is the fact that H. japonica appears to be an aggressive competitor that might have displaced native congeneric species in North America and Europe. For example, Hanson et al. [8] reported the complete replacement of a once-abundant population of Haminoea vesicula (Gould, 1855) in Boundary Bay (with up to 200 individuals per m2) by H. japonica. This is paralleled by a similar observation made in Laguna di Sabaudia, Italy in which H. japonica is now dominant [10]. The ecological and biodiversity implications of the spread of H. japonica remain poorly understood.
Previous research on the population genetics of H. japonica concluded that the non-native populations most likely originated in Northeastern Japan and dispersed via exports of commercial bivalves [8]. However, it was not possible to determine whether European populations were the result of a secondary invasion from North America, or an independent invasion from Japan. Although it was hypothesized that non-native populations of H. japonica appeared to be constrained by cold-water requirements, because they originated in colder regions of Japan (influenced by the Oyashio ocean current) [8], and the warm-water Mediterranean populations appeared to have gone extinct [11], recent records of established populations in two western Mediterranean coastal lagoons contradict this hypothesis [9].
The anthropogenic dispersal of H. japonica also has immediate implications for humans. In North America it serves as the only known intermediate host of a schistosome parasite that is responsible for annual cercarial dermatitis (swimmer’s itch) outbreaks in humans in San Francisco Bay, resulting in beach closures [12]. Cercarial dermatitis is now considered to be a global emerging disease, with increases in frequency attributed to the spread of invasive mollusks and global climate change [13]. Although cercarial dermatitis typically has mild symptoms, causing unpleasant irritation, it can have serious consequences for tourism-based economies if it results in prolonged and/or recurrent beach closures. Comprehensive knowledge of the schistosome life cycle, including detailed knowledge of its hosts, is vital to understand and manage risks to human health and economies. However, several important factors in the H. japonica-schistosome association are still unknown. The schistosome species responsible for the outbreaks in San Francisco Bay has not been identified, as it does not match any available DNA sequences in GenBank, and does not bear a morphological resemblance to any other schistosomes known from the area [12]. This implies two possible origins for the parasite. First, it could be a native species that uses a native snail as a host, but switched hosts once H. japonica was introduced. This is unlikely, since before H. japonica introductions (Figure 1), reports of cercarial dermatitis were rare, and tests for infection of this schistosome in snails native to San Francisco Bay were negative [12]. Second, the parasite could have been introduced to San Francisco Bay, either with H. japonica from Japan, or from a different location via migratory birds, which carry the adult form of the schistosomes. Regardless of the origin of the parasite, further spread of schistosome-carrying H. japonica could bring outbreaks of swimmer’s itch into adjacent areas such as Southern California, whose economies heavily rely on recreational water activities.
In this paper, we study four previously unknown populations of H. japonica in the Mediterranean and a number of new specimens collected from the native and non-native ranges. To provide additional evidence for the Asian-Pacific origin of H. japonica we constructed a multigene phylogeny of Haminoea including a combination of Atlantic, eastern Pacific and Indo-Pacific taxa. Finally, we tested populations of H. japonica in the native range for schistosome parasites to determine whether the parasite could have a Japanese origin. The overall goals of this paper are: 1) To provide additional evidence on the origin, current range, dispersal pathway and invasive potential of H. japonica; 2) To raise awareness of what could become a dangerous invasive species to the ecology of estuaries in the Mediterranean and North America, with potential impacts to human health and therefore to the economies of these coastal regions; 3) To provide a large sample of the genetic variation of H. japonica to facilitate molecular identification of newly discovered populations.
Materials and Methods
Population genetics
To study the population genetics of Haminoea japonica in the native and non-native ranges, DNA was extracted, amplified, and sequenced for the mitochondrial gene cytochrome c oxidase subunit I (COI) as described in Hanson et al. [8]. Thirty-four individuals from Japan and eleven individuals from Europe were added to the samples studied by Hanson et al. [8] and Crocetta et al. [9]. This resulted in a total sample size of 142 individuals, spanning the entire known range of the species. Sequences were assembled and edited using the software Geneious Pro 4.8.3 [14]. Geneious Pro 4.8.3 was also used to extract the consensus sequences and to align them using the default parameters. A haplotype network was constructed using TCS 1.21 [15] with a 95% connection limit. To assess the potential for missed haplotypes due to sample size in both the native (Japan and Korea) and non-native (North America and Europe) range, rarefaction analyses were run in EstimateS 8+ [16] with each location considered a single sample, even though collections may have been made at each location in more than one occasion. North American and European samples were run together under a single analysis since the low number of samples from Europe would make the identification of the rarefaction curve asymptote impossible. Chao2 means and 95% lower and upper confidence intervals were estimated.
Based on geographic distribution, five groups (Northeastern Japan, Southern Japan, Sea of Japan, North America, and Europe) and 27 populations (see Table 1) were tested for genetic structure using the analysis of molecular variance (AMOVA) implemented in Arlequin 3.5 [17]. Three AMOVA analyses were run for all localities, native range localities and non-native range localities. Significance of the AMOVAs was tested using 16,000 permutations of individuals between groups. Arlequin 3.5 was also used to calculate FST values as a measure of pairwise differences between all population groups (Table 1) as well as the nucleotide diversity (π) and haplotype diversity (h) of each population. The significance of the pairwise FST value was estimated by performing 16,000 permutations. The FST analysis was conducted with population groups rather than populations because of two reasons, the large number of populations would result in lower confidence values after Bonferroni’s correction and the presence of many populations with one or a small number of haplotypes would render the results uninformative or difficult to interpret.
Population | Number of specimens | Haplogroup | Haplotype IDs | GenBank Accession Numbers |
---|---|---|---|---|
Amakusa, Japan | 4 | A, C | H1, H2, H3, H4 | JN830648-JN830651 |
Atsumi Peninsula, Japan | 3 | B | H16, H30 | KF572952-KF572954 |
Boundary Bay, Canada | 2 | H | H23 | JN830721-JN830722 |
Hachinohe, Japan | 4 | F | H5, H6, H7 | JN830652-JN830655 |
Hakodate, Japan | 8 | F | H5, H7, H8, H9 | JN830656-JN830663 |
Hiroshima, Japan | 2 | B, C | H27, H28 | JQ693573-JQ693574 |
Hitachinaka, Japan | 9 | G, H | H20, H21, H22 | JN830692-JN830700 |
Lago di Sabaudia, Italy | 4 | H | H20, H25 | JX679602-JX679605 |
Lago Fusaro, Italy | 5 | H | H25 | JX679598-JX679601 |
Laguna di Orbetello, Italy | 1 | H | H23 | KF572955 |
Latina, Italy | 2 | H | H20 | KF572956-KF572957 |
Le Barcarès, France | 3 | H | H20 | KF615822-KF615824 |
Mangokuura, Japan | 16 | B, E, H | H19, H20, H23, H27, H29, H31 | JQ693575, KF572970-KF572984 |
Matsushima Bay, Japan | 12 | H | H20, H23, H32 | KF572958-KF572969 |
Minamisatsuma, Japan | 4 | A | H33, H34, H35 | KF572985-KF572988 |
Pléneuf-val-André, France | 2 | H | H20 | JN830727-JN830728 |
Po Delta (Piallassa Baiona, Sacca di Goro), Italy | 5 | H | H23 | KF572989-KF572993 |
Pontevedra, Spain | 4 | H | H20, H25 | JN830729-JN830732 |
Sado Island, Japan | 4 | E, F | H5, H10, H11 | JN830664-JN830667 |
Sagami Bay, Japan | 2 | D | H13 | JN830669-JN830670 |
San Francisco Bay, California | 12 | H | H23 | JN830703-JN830714 |
San Juan Islands, Washington | 9 | H | H20, H23 | JN830723-JN830725, JN830718-JN830722 |
Souma, Japan | 1 | H | H26 | JQ693572 |
Tokyo Bay | 12 | B, C, D, E | H13, H14, H15, H16, H17 | JN830671-JN830682 |
Tomales Bay, California | 3 | H | H20, H23, H24 | JN830715-JN830717 |
Uchiura Bay, Japan | 9 | B, C | H16, H18, H19 | JN830683-JN830691 |
Wando, South Korea | 1 | F | H12 | JN830668 |
Phylogenetic analysis
To gain insight into the geographic origins of H. japonica, the species was placed within a larger phylogeny of the genus Haminoea. For this part of the study DNA was extracted, amplified, and sequenced for the mitochondrial gene cytochrome c oxidase subunit I (COI) and nuclear gene 28S rRNA, as described by Malaquias et al. [18]. Sequences were verified by both forward and reverse comparisons and assembled and edited using Sequencher 5.01 (Gene Codes Corp.). All sequences were deposited in GenBank (Table 2). Sequences were aligned using Clustal_X [19] with a slow-accurate method and default settings. The alignments were further optimized by eye using MacClade 4.06 [20]. The best-fit models of evolution (TVM + I + G for COI and GTR+ I + G for 28S rRNA) were chosen using the Akaike information criterion [21] implemented in ModelTest 3.6 [22]. Aligned sequences were trimmed to exclude ambiguous reads at each end and gap-rich regions where homology could not be confidently assessed. A total of 522 bp of COI and 720 bp of 28S rRNA remained for use in phylogenetic analyses comprising 44 sequences. A combined analysis of the two genes (total 1242 bp) was conducted using Bayesian inference analysis in MrBayes 3.1.2b with default priors [23,24] for 1.5 x 106 generations, with a sampling frequency of 100 and two separate runs to ensure that independent analyses were converging on the same tree. Convergence of runs was diagnosed using the program Tracer 1.4 [25]. For each analysis the first 3750 trees were discarded (‘burn-in’ period). Robustness of each node was assessed using Bayesian posterior probabilities calculated by MrBayes 3.1.2b. Two members of the family Bullidae (Bulla occidentalis A. Adams, 1850 and Bulla striata Bruguière, 1792) were chosen as outgroup taxa.
Taxon | Locality | Voucher Number | GenBank Accession No. | |
---|---|---|---|---|
COI | 28S | |||
Haminoea sp.3 (C26) | Philippines | MNHN 42261 | KF615810 | KF615809 |
Haminoea sp.2 (C3) | Indonesia | NHMUK 20050660 | DQ974673 | DQ927230 |
Haminoea sp.2 (93) | East Timor | NHMUK 20060109 | KF615835 | KF615808 |
Haminoea sp.1 (C37) | Philippines | MNHN 42265 | KF615821 | KF615788 |
H. japonica (C52) | Mediterranean Sea | NHMUK 20070029 | KF615824 | KF615786 |
H. japonica (149) | Mediterranean Sea | NHMUK 20070065 | KF615823 | KF615787 |
H. japonica (164) | Mediterranean Sea | NHMUK 20070028 | KF615822 | KF615785 |
H. natalensis (68) | United Arab Emirates | NHMUK 20060104 | KF615826 | KF615783 |
H. natalensis (153) | South Africa | NHMUK 20070186 | KF615825 | KF615784 |
H. cymbalum (C28) | Philippines | MNHN 42249 | DQ974675 | DQ927232 |
H. cymbalum (16) | Indonesia | NHMUK 20030302 | KF615842 | KF615807 |
H. ovalis (C34) | Philippines | MNHN 42252 | DQ974677 | DQ927234 |
H. navicula (C51) | UK | NHMUK 20060324 | DQ974676 | DQ927233 |
H. navicula (129) | Portugal | NHMUK 20070018 | KF615838 | KF615804 |
H. navicula (130) | Portugal | NHMUK 20070020 | KF615837 | KF615803 |
H. navicula (131) | Portugal | NHMUK 20070020 | KF615839 | KF615805 |
H. navicula (147) | UK | NHMUK 20070021 | KF615836 | KF615806 |
H, cf. hydatis (C53) | Mediterranean Sea | NHMUK 20060326 | DQ974674 | DQ927231 |
H, cf. hydatis (166) | Mediterranean Sea | NHMUK 20060326 | KF615841 | KF615802 |
H, cf. fusari (167) | Italy | NHMUK 20070177 | KF615840 | KF615801 |
Haminoea sp.4 (152) | Florida, USA | NHMUK 20070180 | KF615829 | KF615797 |
Haminoea sp.4 (188) | Florida, USA | NHMUK 20070448 | KF615828 | KF615798 |
Haminoea sp.4 (175) | Florida, USA | NHMUK 20070318 | KF615827 | KF615800 |
Haminoea sp.4 (189) | Florida, USA | NHMUK 20070448 | KF615831 | KF615799 |
Haminoea sp.4 (190) | Florida, USA | NHMUK 20070603/1 | KF615832 | KF615795 |
Haminoea sp.4 (191) | Florida, USA | NHMUK 20070603/2 | KF615830 | KF615796 |
Haminoea sp.5 (161) | Mexico | NHMUK 20070090 | KF615833 | KF615793 |
Haminoea sp.5 (154) | Mexico | NHMUK 20070175 | KF615834 | KF615794 |
H. orteai (197) | Azores, Portugal | NHMUK 20070458 | KF615844 | KF615791 |
H. orteai (198) | Azores, Portugal | NHMUK 20070458 | KF615845 | KF615790 |
H. orteai (48) | Canary Is, Spain | NHMUK 20030836 | KF615846 | KF615792 |
H. vesicula (202) | California, USA | CASIZ 97502 | KF615843 | KF615789 |
H. alfredensis (174) | South Africa | NHMUK 20070314 | KF615816 | KF615774 |
H. alfredensis (182) | South Africa | NHMUK 20070315 | KF615815 | KF615775 |
H. alfredensis (183) | South Africa | NHMUK 20070315 | KF615814 | KF615773 |
H. antillarum (176) | Florida, USA | NHMUK 20070316 | KF615817 | KF615778 |
H. antillarum (157) | Mexico | NHMUK 20070091 | KF615819 | KF615782 |
H. antillarum (158) | Mexico | NHMUK 20070094 | KF615811 | KF615779 |
H. antillarum (159) | Mexico | NHMUK 20070092 | KF615818 | KF615780 |
H. antillarum (160) | Mexico | NHMUK 20070093 | KF615820 | KF615781 |
H. orbignyana (1) | Portugal | NHMUK 20030296 | KF615813 | KF615776 |
H. orbignyana (148) | Portugal | NHMUK 20030296 | KF615812 | KF615777 |
Bulla striata (79) | Senegal | NHMUK 20030784/3 | DQ986566 | DQ986693 |
Bulla occidentalis (139) | Panama | BMNH 20060118 | DQ974658 | DQ927209 |
Assessment for parasite infection
In order to test for a possible Japanese origin of the parasites associated with H. japonica in San Francisco Bay, 108 individuals collected in Uchiura Bay, Japan and 30 individuals collected in Matsushima Bay, Japan were assessed for schistosome parasite infections. No permits are necessary to study and/or collect Haminoea japonica on the two sites. A permit from the local fishermen’s association is required to collect commercially valuable species, but H. japonica is not commercially valuable or an endangered species.
After collection, specimens were kept in containers filled with seawater and exposed to bright, direct sunlight for 1-2 hours. The specimens were then removed and the water in the container was examined for cercaria under a stereomicroscope or with the naked eye. Additionally, a subset of 72 specimens from the 108 specimens collected in Uchiura Bay, were dissected and examined for schistosome infection of the digestive gland.
Results
Phylogeny of Haminoea
The phylogeny of Haminoea shows H. japonica as monophyletic and sister to Haminoea natalensis (Krauss, 1848), a species described from the Indian Ocean coast of South Africa. These two species are placed within a highly supported (posterior probability = 0.96) clade of Southeast Asian species (Figure 2). Sister to this is a clade containing seven species, six of which are Atlantic or Mediterranean in origin, and one Eastern Pacific (Haminoea vesicula).
Numbers above branches are posterior probabilities. Outgroup taxa removed for clarity.
Population genetics
The AMOVA results (Table 3) revealed that when all populations are analyzed together the majority of genetic variation (50.9%) occurred within populations, whereas the variation among groups was 36.74%. The AMOVA run based on native range populations only gave similar results, with most of the variation (52.87%) within populations and only 32.7% among groups. However, the AMOVA run for non-native populations only, calculated much higher genetic variation among populations within groups (46.23%) and very little among groups (15.43%). The FST analysis results (Table 4) confirmed that all population groups examined are genetically distinct from one another with the exception of Northeastern Japan, which is not significantly different from North America and Europe.
Analysis | Partitioning | d.f. | Sum of squares | Variance component | % variation | F-statistics |
---|---|---|---|---|---|---|
All | Among groups | 4 | 334.700 | 2.62927 | 36.74 | FCT=0.36742* |
Among populations within groups | 22 | 171.404 | 0.88437 | 12.36 | FSC=0.19537* | |
Within populations | 115 | 418.875 | 3.64239 | 50.90 | FST=0.491* | |
Total | 141 | 924.979 | 7.15604 | |||
Native | Among groups | 2 | 228.837 | 3.35116 | 32.70 | FCT=0.32702* |
Among populations within groups | 12 | 161.142 | 1.47896 | 14.43 | FSC=0.21445* | |
Within populations | 76 | 411.736 | 5.41758 | 52.87 | FST=0.47134* | |
Total | 90 | 801.714 | 10.2477 | |||
Non-native | Among groups | 1 | 3.461 | 0.07369 | 15.43 | FCT=0.15434 |
Among populations within groups | 10 | 10.263 | 0.22070 | 46.23 | FSC=0.54663* | |
Within populations | 39 | 7.139 | 0.18305 | 38.34 | FST=0.6166* | |
Total | 50 | 20.863 | 0.47744 |
NE Japan | S Japan | Sea of Japan | N America | Europe | |
---|---|---|---|---|---|
NE Japan | - | 0.0000* | 0.0000* | 0.005 | 0.0479 |
S Japan | 0.24897 | - | 0.0000* | 0.0000* | 0.0000* |
Sea of Japan | 0.75648 | 0.29864 | - | 0.0000* | 0.0000* |
N America | 0.09066 | 0.29751 | 0.93147 | - | 0.0001* |
Europe | 0.05459 | 0.27706 | 0.91303 | 0.25547 | - |
Thirty-three haplotypes were identified in the native range, and four in the non-native range (Figure 3). Two of the four non-native haplotypes were found in Japan, whereas two (H24 – from a single individual collected from Tomales Bay and H25 – widespread in Spain and Italy) were not detected in the native range. Rarefaction analysis of the non-native range haplotypes predicted that four haplotypes should exist in the non-native range (Chao2 mean and 95% CI lower bound), with a maximum of 4.46 (95% CI upper bound). This suggests that all the haplotypes present in the non-native range have been recovered, although further sampling may reveal one additional haplotype. Because both the sample data and the Chao2 estimate curves reached an asymptote (Figure 4C), these results can be considered reliable. The same analysis run for the northeastern Japan populations suggested that a minimum of 12.59 (lower 95% CI) and a maximum of 176.22 (upper 95% CI) with a Chao2 mean of 33.5 haplotypes should be present. Although this maximum is not as reliable as that for the non-native range analysis, since the rarefaction curves did not reach an asymptote (Figure 4B), the minimum 12.59 estimate reveals that a substantial sampling effort is necessary to completely recover the genetic diversity existing in this region. Finally, a rarefaction analysis for the rest of the native range revealed that between 51.45-484.5 (135.25 Chao2 mean) haplotypes should be present in the rest of Japan and Korea, meaning at least 31 more haplotypes could be detected with further sampling effort (Figure 4A).
Numbers in the map indicate the localities listed in the key to localities. Numbers in the haplotype network indicate haplotype number as in Table 1. Haplotypes marked with an asterisk have been newly found in this study.
Black circles = Chao2 mean, Black squares = Sobs. A. Native range excluding Northeastern Japan. B. Northeastern Japan. C. Non-native range.
Discussion
Origin and population structure of the non-native populations of H. japonica
The phylogenetic analysis of Haminoea suggests an Indo-Pacific origin of H. japonica [7] as this species is nested in a clade containing only Indo-West Pacific species (Figure 2). However, the placement of H. japonica as sister of H. natalensis is probably an artifact of the limited taxon sampling within the Indo-pacific species examined. Additionally, the FST analysis results (Table 4) confirmed the population differentiation and structure revealed with a smaller sample size [8]. This is consistent with the hypothesis of a northeastern Japan origin for the non-native populations.
The results of the AMOVA analyses are indicative of substantial gene flow between populations in the native range resulting in most of the genetic variation occurring within populations (52.87%) and very little among populations (14.43%). However, there is substantial variation among groups (32.70%), suggesting a certain degree of isolation between the Sea of Japan, Southern Japan and Northeastern Japan populations of H. japonica.
As suggested below, the movement of bivalves between regions in Japan may have resulted in the introduction of southern haplotypes of H. japonica to Mangokuura in Northeastern Japan. Introductions of H. japonica into the non-native range have been associated with commercial imports of bivalves, particularly oysters and clams [7,8,11], but this new evidence suggests the same vector have resulted in movements of H. japonica within the native range, but between distinct populations. Such movements may have also brought haplotypes of diverse origins to Tokyo Bay, resulting in lower percentages of variation among groups than within populations. However, considering the high intensity of historic and recent transport of bivalves between regions of Japan and Korea [26], the impact of these within-Japan introductions in the present genetic structure of H. japonica is surprisingly low, as revealed by the relatively high percentage of variation among groups. This suggests that introductions of H. japonica are probably rare.
The genetic structure in the non-native range is very different, with very little variation among groups (15.43%) and high percentages of differentiation among populations and within populations (46.23% and 38.34% respectively). The genetic uniformity between Europe and North America suggest that these populations are the result of either a single or a small number of introduction events, whereas the high percentage of variation among populations is likely the result of founder effects.
Sample size and rarefaction curves
The rarefaction analysis confirms that this study has recovered all or most of the COI haplotypes found in the non-native range of H. japonica (only one potentially remains unrecovered). However, a number of haplotypes from the native range remain undetected by our sampling effort. This would explain the fact that haplotypes H24 and H25 are missing from our sample in the native range. The present analysis confirms that the reduced genetic diversity in the non-native range is not an artifact of a small sample size, but it is indicative of severe population bottleneck, which is consistent with a relatively recent introduction from a single or a small number of sources. Further evidence of population bottleneck in the non-native populations is provided by the low levels of both nucleotide and haplotype diversity in North America and Europe (Table 5).
Population | Nucleotide diversity (π) | Haplotype diversity (h) |
---|---|---|
Boundary Bay | 0.00000 | 0.0000 |
San Francisco Bay | 0.00000 | 0.0000 |
San Juan Islands | 0.00084 | 0.5556 |
Tomales Bay | 0.00304 | 1.0000 |
North America Mean | 0.00097 | 0.3889 |
Lago di Sabaudia | 0.00076 | 0.5000 |
Lago Fusaro | 0.00000 | 0.0000 |
Latina | 0.00000 | 0.0000 |
Le Barcarès | 0.001013 | 0.6667 |
Pléneuf-Val-André | 0.00000 | 0.0000 |
Po Delta | 0.00000 | 0.0000 |
Pontevedra | 0.00152 | 0.5000 |
Europe Mean | 0.003293 | 0.2381 |
Non-native Mean | 0.000652 | 0.2929 |
Amakusa | 0.03926 | 1.0000 |
Atsumi Peninsula | 0.00202 | 0.6667 |
Hachinohe | 0.00177 | 0.8333 |
Hakodate | 0.00152 | 0.6429 |
Hiroshima | 0.00745 | 1.0000 |
Hitachinaka | 0.00388 | 0.6389 |
Mangokuura | 0.01167 | 0.7667 |
Matsushima Bay | 0.00108 | 0.6212 |
Minamisatsuma | 0.00455 | 0.8333 |
Sado Island | 0.00633 | 0.8333 |
Sagami Bay | 0.00000 | 0.0000 |
Tokyo Bay | 0.04932 | 0.7879 |
Uchiura Bay | 0.03073 | 0.6667 |
Native Mean | 0.012275 | 0.7146 |
Invasion pathway
With the available evidence it appears that the introductions of H. japonica in North America and Europe are independent events. The presence of one unique haplotype in each North American and European populations (H24 and H25 respectively) suggest independent introductions. If the European populations were the result of a secondary introduction from North America it would be difficult to explain the presence of the common European haplotype H25, which has not been detected in North America. Although these two haplotypes (H24 and H25) have not been detected in Japanese samples, suggesting they are rare in the native range, very similar haplotypes were recovered in Northeastern Japan (H29 and H32). The European haplotype H25 is common (frequency 36%) and widespread (found in Spain and Italy), this is likely the result of founder effect. On the contrary the North American haplotype (H24) is rare (frequency 4%).
Secondary invasions within Japan
The presence in Tokyo Bay of several haplotypes commonly found in other regions of Japan was suggested to be the result of introductions of slugs from other populations [8]. In this paper for the first time we report the presence of haplotypes commonly found in Southern Japan in Northern Japan samples, but only in the coastal lagoon of Mangokuura in Miyagi Prefecture. Mangokuura is a major hub for bivalve culture and oyster spat exports and during the 1980-1990s received imports of oyster spat from a few locations in the Seto Inland Sea (Southern Japan) including Hiroshima and Okayama (Kenji Okoshi, pers. comm.). It is a distinct possibility that southern Japanese haplotypes of H. japonica could have been introduced into Mangokuura as a consequence of these activities. These secondary introductions are difficult to detect in the absence of molecular data and could be problematic, as alleles from non-native populations can spread through hybridization potentially reducing fitness of native populations.
Potential for further spread
Previous work suggested that cold winter ocean temperatures could limit the potential range of non-native populations of H. japonica [8]. This hypothesis was based on two observations: 1) The non-native populations originated in a region influenced by the Oyashio cold current; 2) All known non-native records by the time of the publication of the paper were from regions with relatively cold water temperatures such as northern California and Washington, USA, the Atlantic coasts of Spain and France, and the northern Adriatic Sea. This was corroborated by the assumption that the Mediterranean populations have become extinct [11] due to absence of recent records even in well-sampled areas such as the northern Adriatic Sea lagoons. However, evidence of established populations of H. japonica in coastal lagoons along the western coast of Italy [9] suggested that the potential spread of this species could be much greater. In the present paper we report H. japonica for the first time in the Mediterranean coast of France as well as in three new localities in Italy. It appears that H. japonica is now well established in the western Mediterranean and central Adriatic and that milder winter temperatures do not appear to have prevented further spread. At this point all coastal lagoons in the Mediterranean as well as in Southern California should be considered vulnerable to invasion by H. japonica. It is possible that the range of H. japonica is already much larger than currently known, but it remains undetected due to difficulties in identification. The main external diagnostic characteristic of H. japonica is the presence of a deep notch in the cephalic shield [7], which is also present in the Atlantic and Mediterranean species H. hydatis [27], making these two species difficult to distinguish in the absence of molecular or anatomical data. These morphological similarities hamper proper identification and early detection of H. japonica.
Potential ecological consequences of the invasion of H. japonica
Although based on anecdotal evidence [8], H. japonica seems to have displaced the Pacific Northwest species H. vesicula in British Columbia, suggesting it could be an aggressive invader. This is paralleled by a similar observation held in Laguna di Sabaudia [10] where H. japonica has become a dominant organism. The spread of H. japonica could have severe consequences for the biodiversity of Haminoea in the Mediterranean, where a number of species with restricted ranges occur in coastal lagoons. For example, Haminoea fusari is only known from Lago Fusaro, Italy, a coastal lagoon currently occupied by an established population of H. japonica [9]. Other species such as Haminoea hydatis, H. navicula, H. orbignyana, H. orteai and H. templadoi have been reported in southern European coastal lagoons, often in association with green algae (Ulva) and sea grasses [27,28,29,30,31] and are potentially vulnerable to the spread of H. japonica, which occupies a similar niche. Neither the low genetic diversity of non-native populations of H. japonica, nor their cold-water origin, seem to have hindered the rapid spread of this species in warmer Mediterranean waters and costal lagoons. Although H. japonica is currently considered a non-native species, it is possible that it has already become an aggressive invasive species and efforts to control it could become increasingly difficult.
Potential human health consequences of the invasion of H. japonica
Examination of specimens in Japan did not reveal the presence of schistosome parasites. These results do not reveal anything new about the origin of the cercarial parasite associated with H. japonica in San Francisco Bay, but fail to provide evidence of a Japanese origin. The apparent absence of parasites associated with H. japonica in Washington State (USA), Canada and Europe seems to confirm that the San Francisco case is unique. It is thus likely that the parasite has traveled independently from H. japonica into San Francisco Bay [12] resulting in a serendipitous association. Regardless of the origin of the cercarial parasite, this association makes northern California populations of H. japonica susceptible to spread the parasite to nearby locations. Since water temperatures did not appear to prevent the spread of H. japonica in the Mediterranean, it is unlikely to do so in California. Thus, southern Californian estuaries, some of which are heavily dependent on water-related tourist activities, may be vulnerable to invasion by both the slug and the parasite, potentially resulting in economic loss.
Acknowledgments
We are grateful to Armando Macali, Edoardo Turolla and Joachim Langeneck for providing specimens of H. japonica from Italy and Kazuki Nishida, Syouichi and Taeko Kimura, and Kenji Okoshi and his students for providing specimens from Japan. Additional specimens of Haminoea for the phylogenetic analyses were provided by Philippe Bouchet, Fontje Kaligis, Marina Pudibouskaya, Gary Feulner, Andrea Zamora, Marlo Krisberg, Alan Hodgson, and Nelson Miranda. Kenji Okoshi provided important information on oyster shipments within Japan. Terry Gosliner and an anonymous reviewer made constructive comments on the manuscript.
Author Contributions
Conceived and designed the experiments: DH YH MM FC AV. Performed the experiments: DH SC YH MM FC AV. Analyzed the data: DH SC YH MM FC AV. Contributed reagents/materials/analysis tools: YH MM FC AV. Wrote the manuscript: DH YH MM FC AV.
References
- 1. Lipscomb D, Platnick N, Wheeler QD (2003) The intellectual content of taxonomy: A comment on DNA taxonomy. Trends Ecol Evol 18: 65-66. doi:https://doi.org/10.1016/S0169-5347(02)00060-5.
- 2. Wheeler QD, Raven PH, Wilson EO (2004) Taxonomy: impediment or expedient? Science 303: 285. doi:https://doi.org/10.1126/science.303.5656.285. PubMed: 14726557.
- 3. Pyšek P, Richardson DM (2010) Invasive species, environmental change and management, and health. Annu Rev Environ Resour 35: 25-55. doi:https://doi.org/10.1146/annurev-environ-033009-095548.
- 4. Mehta SV, Haight RG, Homans FR, Polasky S, Venette RC (2007) Optimal detection and control strategies for invasive species management. Ecol Econ 61: 237-245. doi:https://doi.org/10.1016/j.ecolecon.2006.10.024.
- 5. Pimentel D, Zuniga R, Morrison D (2005) Update on the environmental and economic costs associated with alien-invasive species in the United States. Ecol Econ 52: 273-288. doi:https://doi.org/10.1016/j.ecolecon.2004.10.002.
- 6. Pejchar L, Mooney HA (2009) Invasive species, ecosystem services and human well-being. Trends Ecol Evol 24: 497-504. doi:https://doi.org/10.1016/j.tree.2009.03.016. PubMed: 19577817.
- 7. Gosliner TM, Behrens DW (2006) Anatomy of an invasion: Systematics and distribution of the introduced opisthobranch snail, Haminoea japonica Pilsbry, 1895 (Gastropoda: Opisthobranchia: Haminoeidea). Proc Calif Acad Sci 57: 1003-1010.
- 8. Hanson D, Hirano Y, Valdés A (2013) Population genetics of Haminoea (Haloa) japonica Pilsbry, 1895, a widespread non-native sea slug (Mollusca: Opisthobranchia) in North America and Europe. Biol Invasions 15: 395-406. doi:https://doi.org/10.1007/s10530-012-0294-x.
- 9. Crocetta F, Macali A, Furfaro G, Cooke S, Guido Villani G et al. (2013) Alien molluscan species established along the Italian shores: an update, with discussions on some Mediterranean “alien species” categories. Zookeys 277: 91-108. doi:https://doi.org/10.3897/zookeys.277.4362. PubMed: 23794825.
- 10. Macali A, Conde A, Smriglio C, Mariottini P, Crocetta F (2013) The evolution of the Molluscan biota of the Sabaudia Lake: A matter of human history. Sciencia Marina. doi:https://doi.org/10.3989/scimar.03858.05M.
- 11. Crocetta F (2012) Marine alien Mollusca in Italy: A critical review and state of the knowledge. J Mar Biol Assoc UK 92: 1357-1365. doi:https://doi.org/10.1017/S002531541100186X.
- 12. Brant SV, Cohen AN, James D, Hui L, Hom A et al. (2010) Cercarial dermatitis transmitted by exotic marine snail. Emerg Infect Dis 16: 1357–65. doi:https://doi.org/10.3201/eid1609.091664. PubMed: 20735918.
- 13. Soldánová M, Selbach C, Kalbe M, Kostadinova A, Sures B (2013) Swimmer’s itch: Etiology, impact, and risk factors in Europe. Trends Parasitol 29: 65-74. doi:https://doi.org/10.1016/j.pt.2012.12.002. PubMed: 23305618.
- 14.
Drummond AJ, Ashton B, Cheung M, Heled J, Kearse M et al. (2009) Geneious, version 4.8. Available: http://www.geneious.com/web/geneious/geneious-versions Accessed 3 March 2010.
- 15. Clement M, Posada D, Crandall KA (2000) TCS: A computer program to estimate gene genealogies. Mol Ecol 9: 1657-1660. doi:https://doi.org/10.1046/j.1365-294x.2000.01020.x. PubMed: 11050560.
- 16.
Colwell RK (2006) EstimateS: Statistical estimation of species richness and shared species from samples, version 8. Available: http://viceroy.eeb.uconn.edu/EstimateS. Accessed 2012 Nov 6 .
- 17. Excoffier L, Lischer HE (2010) Arlequin suite ver 3.5: A new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10: 564-567. doi:https://doi.org/10.1111/j.1755-0998.2010.02847.x. PubMed: 21565059.
- 18. Malaquias MAE, Mackenzie-Dodds J, Bouchet P, Gosliner TM, Reid DG (2009) A molecular phylogeny of the Cephalaspidea sensu lato (Gastropoda: Euthyneura): Architectibranchia redefined and Runcinacea reinstated. Zool Scr 38: 23-41. doi:https://doi.org/10.1111/j.1463-6409.2008.00354.x.
- 19. Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG (1997) The CLUSTAL_X windows interface: Flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res 25: 4876-4882. doi:https://doi.org/10.1093/nar/25.24.4876. PubMed: 9396791.
- 20.
Maddison DR, Maddison WP (2000) MacClade4: Analysis of phylogeny and character evolution, version 4.0. Sunderland, MA: Sinauer Associates.
- 21. Akaike H (1974) A new look at the statistical model identifications. IEEE, Trans Automat Contr 19: 716-723.
- 22. Posada D, Crandall KA (1998) Modeltest: testing the model of DNA substitution. Bioinformatics 14: 817-818. doi:https://doi.org/10.1093/bioinformatics/14.9.817. PubMed: 9918953.
- 23. Huelsenbeck JP, Ronquist F (2001) MrBayes: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754-755. doi:https://doi.org/10.1093/bioinformatics/17.8.754. PubMed: 11524383.
- 24. Huelsenbeck JP, Ronquist F (2001) MrBayes: Bayesian inference of phylogenetic trees. Bioinformatics 17: 754-755. PubMed: 11524383.
- 25.
Rambaut A, Drummond AJ (2007) Tracer, version 1.4. Available: http://beast.bio.ed.ac.uk/Tracer. Accessed 2009 December 1.
- 26. Aranishi F, Okimoto T (2004) Genetic relationship between cultured populations of Pacific oyster revealed by RAPD analysis. J Appl Genet 45: 435-443. PubMed: 15523154.
- 27. Malaquias MAE, Cervera JL (2006) The genus Haminoea (Gastropoda: Cephalaspidea) in Portugal, with a review of the European species. J Molluscan Stud 72: 89-103.
- 28. Thompson TE (1981) Taxonomy of three misunderstood opisthobranchs from the northern Adriatic Sea. J Molluscan Stud 47: 73-79.
- 29. Talavera P, Murillo L, Templado J (1987) The genus Haminoea Turton & Kingston, 1830 (Opisthobranchia, Bullomorpha) in the southeast of Spain with the description of a new species. Boll Malacol 23: 53-68.
- 30. García FJ, Pérez-Hurtado A, García-Gómez JC (1991) Haminaea templadoi, a new species of cephalaspidean opisthobranch from the Atlantic Iberian coast. J Molluscan Stud 57: 395-399. doi:https://doi.org/10.1093/mollus/57.4.395.
- 31. Malaquias MAE, Sprung MJ (2005) Population biology of the cephalaspidean mollusc Haminoea orbygniana in a temperate coastal lagoon (Ria Formosa, Portugal). Estuarine, Coastal and Shelf Science 63: 177-185. doi:https://doi.org/10.1016/j.ecss.2004.11.005.