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. 2016 Jul 19;6(16):5635–5647. doi: 10.1002/ece3.2135

Patterns of genetic diversity of the cryptogenic red alga Polysiphonia morrowii (Ceramiales, Rhodophyta) suggest multiple origins of the Atlantic populations

Alexandre Geoffroy 1,2,✉, Christophe Destombe 1,2, Byeongseok Kim 3, Stéphane Mauger 1,2, María Paula Raffo 4, Myung Sook Kim 3, Line Le Gall 5
PMCID: PMC4983580  PMID: 27547343

Abstract

The red alga Polysiphonia morrowii, native to the North Pacific (Northeast Asia), has recently been reported worldwide. To determine the origin of the French and Argentine populations of this introduced species, we compared samples from these two areas with samples collected in Korea and at Hakodate, Japan, the type locality of the species. Combined analyses of chloroplastic (rbcL) and mitochondrial (cox1) DNA revealed that the French and Argentine populations are closely related and differ substantially from the Korean and Japanese populations. The genetic structure of P. morrowii populations from South Atlantic and North Atlantic, which showed high haplotype diversity compared with populations from the North Pacific, suggested the occurrence of multiple introduction events from areas outside of the so‐called native regions. Although similar, the French and Argentine populations are not genetically identical. Thus, the genetic structure of these two introduced areas may have been modified by cryptic and recurrent introduction events directly from Asia or from other introduced areas that act as introduction relays. In addition, the large number of private cytoplasmic types identified in the two introduced regions strongly suggests that local populations of P. morrowii existed before the recent detection of these invasions. Our results suggest that the most likely scenario is that the source population(s) of the French and Argentine populations was not located only in the North Pacific and/or that P. morrowii is a cryptogenic species.

Keywords: cox1, cryptic species, introduction pathways, Polysiphonia morrowii, rbcL, red alga

Introduction

Interoceanic human activities (shipping, aquaculture, fishing) have favored interconnected seas and oceans, enhancing species dispersal and increasing the risk of introduction into coastal marine ecosystems (Carlton and Geller 1993). Coastal invasions are one of the major factors contributing to the erosion of marine biodiversity today (Molnar et al. 2008). A biological invasion consists of the occurrence of a taxon beyond its native range (typically referred to as an alien or nonindigenous species, NIS) that has a negative impact on the environment or on human activities. Generally, pathways for species dispersal remain poorly understood on a global scale (Mack et al. 2000). Tracking the origin of the introduction as well as the colonization pathway is frequently a difficult task and often requires population genetics tools (e.g., Holland 2000; Saltonstall 2002; Estoup and Guillemaud 2010; Rius et al. 2015; Yang et al. 2015). Furthermore, these pathways are sometimes so complex that determining the native and introduced status of some species is almost impossible and these species have been qualified as “cryptogenic species” (Carlton 1996). In particular, introduction of taxa that lack conspicuous characters to distinguish between species that look alike (Knowlton 1993) may go undetected until long after the introduction event.

The advent of molecular systematics considerably facilitated species identification and contributed to the detection of more than 300 invasive species in the marine realm (Molnar et al. 2008). About 14% of the recorded invasive marine species are seaweeds (for a review of introduced seaweeds, see Williams and Smith 2007).

Vectors of introduction reported for seaweeds include hull fouling, ballast water, shellfish farming, aquaculture, scientific research, and fishing gear (Vaz‐Pinto et al. 2014). Among these vectors, shipping and aquaculture have both been incriminated in the dispersal of the edible kelp wakame (Undaria pinnatifida) originating from Asia; however, patterns of genetic diversity suggest that shipping is the main vector of recurrent introductions in Australasia, and aquaculture is responsible for the introduction and the spread of the species in Europe (Voisin et al. 2005).

Although the exchange of material for aquaculture purposes is difficult to trace, numerous model approaches have been recently developed to improve predictions of the invasion route with respect to shipping activities (e.g., Seebens et al. 2013; Xu et al. 2014). Shipping routes, as vectors of introduction of marine species, are likely cause of the non‐natural redistribution of algae. Recurrent introductions thus appear to be more likely the rule than the exception. Given that the loss of genetic variation expected on invasive populations (i.e., the invasion paradox) can be counterbalanced by multiple introduction events ensuring invasion success (see Roman and Darling 2007), the presence of bioinvasion highways may explain why successful marine NIS often show populations with high genetic diversity in the introduced range (see for review Rius et al. 2015).

Among the recently reported invasive seaweeds, Polysiphonia morrowii, a red alga (Ceramiales, Rhodomelaceae) described by Harvey in 1853 based on the individuals collected in the East Sea at Hokkaido (Hakodate, Hokkaido, Japan), has been reported in various marine ecoregions of the world (Spalding et al. 2007; Thomsen et al. 2016). Its native range is considered to be the temperate North Pacific with records from Japan (Kudo and Masuda 1992), Korea (Kim et al. 1994), China (Segi 1951), and the Russian Far East (Perestenko 1980). The introduction of this species has been recorded in the Mediterranean Sea (Verlaque 2001; Curiel et al. 2002; Erduǧan et al. 2009), the South Pacific Ocean in Chile (Kim et al. 2004) and New Zealand (Mamoozadeh and Freshwater 2012; D'Archino et al. 2013), the North Sea (Maggs and Stegenga 1999), the North Atlantic Ocean in France (Geoffroy et al. 2012) as well as the South Atlantic in Argentina (Croce and Parodi 2014; Raffo et al. 2014). Polysiphonia morrowii has been described in Europe as a cryptic introduction based on a DNA barcode approach (Geoffroy et al. 2012; Fig. 1).

Figure 1.

Figure 1

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Polysiphonia morrowii is a non‐native red alga along Brittany coasts and it forms extensive, dense, and conspicuous patches of individuals in the higher intertidal zones. P. morrowii is considered to be native from the North Pacific Ocean and it probably arrived in Europe by human activities. This species was recently identified in Brittany using molecular tools even though it was probably unnoticed for long time due to its morphological similarities with the relative autochthon species, P. stricta and P. atlantica.

The aim of this study was to assess the history of invasion of this species as well as to determine whether the invasion success is associated with several introduction events. To do so, we compared the genetic diversity of P. morrowii from Northeast Asia, its putative native range, with that of France and Argentina, two regions of introduction. This comparison was conducted using population genetic approaches based on the mitochondrial and chloroplast markers to characterize and assess the native populations collected from Korea and introduced populations collected in France and Argentina.

Materials and Methods

Samples

More than 300 individuals of P. morrowii were sampled in three different regions: the North Pacific (Korea and Japan, 168 individuals), the South Atlantic (Argentina, 56 individuals), and the North Atlantic (France, 192 individuals). In addition, 105 specimens sampled in France for a previous study (Geoffroy et al. 2012) were also included in the analyses. As suggested by Muirhead et al. (2008), in order to increase our chance to correctly match introduced individuals to their source population, we performed a sampling design favoring the number of localities over the number of individuals per population. Eleven localities separated by 10–80 km were sampled in Korea (5–10 individuals per site) around Jeju Island (in the Korea Strait) and six (separated by 800 km) along the east and west coast of Korea. The most distant populations were separated by about 1000 km (between Hakodate, Japan and Deoksan, Korea). In contrast, because the ability to correctly resolve the source of an invasion increases with the number of individuals surveyed per introduced population (Muirhead et al. 2008), we increased the number of individuals sampled per population and decreased the number of localities sampled in the North Atlantic. Eight localities were sampled in France, with seven sites 2–450 km apart along the Brittany coast (7–131 specimens per site) and one locality from the Mediterranean Sea (Gulf of Lion) (four specimens). All sites in Brittany were located in the intertidal zone on rocky shores, except one that was located in a marina (Perros‐Guirec). Finally, intertidal rocky shores from three localities sited, between 5 and 30 km apart, were sampled in Nuevo Gulf, Patagonia Argentina (11–29 specimens per site). A fragment of tissue from each sampled individual was preserved in silica gel for molecular analysis. Moreover, at least one specimen per site was pressed and mounted on a herbarium sheet and conserved at the Roscoff Biological Station/French National Museum of Natural History.

Molecular analyses

DNA was extracted from 5 to 10 mg of dry algal tissue using the Nucleospin® Multi‐96 plant kit (Macherey‐Nagel GmbH and Co. KG, Düren, Germany) according to the manufacturer's protocol. The chloroplastic rbcL gene and the mitochondrial cox1 gene were amplified using an Eppendorf thermocycler following the protocols described in Guillemin et al. (2008) and Saunders (2005), respectively. rbcL gene was amplified with the pair of primers rbcL‐F (5′‐CWAAAATGGGATATTGGGAT‐3′) and rbcL‐R (5′‐CTATACAYTHGYTGTTGGAGTTTC‐3′). cox1 gene was amplified with the pair of primers GazF1 (5′‐TCAACAAATCATAAAGATATTGG‐3′) and GazR1 (5′‐ACTTCTGGATGTCCAAAAAAYCA‐3′). Reaction mixtures (in a total of 25 μL) contained 0.5× PCR buffer (Abgene), 125 μmol/L each dNTP, 1 pmol each primer, 2.5 mmol/L MgCl2, 1 U Taq polymerase (Abgene), and 3 μL of DNA (1:25 dilution); PCR cycling included an initial denaturing step at 94°C for 3 min, followed by 35 cycles at 94°C for 45 sec, 50°C for 60 sec, and 72°C for 90 sec with a final elongation step of 72°C for 7 min. The same thermocycler conditions were used for both loci. Finally, PCR products were purified and sequenced by LGC genomics (Berlin, Germany). The sequences were edited and aligned using Codoncode Aligner v. 3.7 (www.codoncode.com).

Diversity

Partial rbcL and cox1 sequences were obtained for 521 Polysiphonia morrowii individuals including 353 individuals from introduced populations and 168 from its native range. Molecular diversity indices, haplotype diversity (H, the probability that two randomly chosen chlorotypes or mitotypes are different) and nucleotide diversity (π, the probability that two randomly chosen homologous nucleotide sites are different), were calculated for each sampled location and for each region using Arlequin v 3.11 (Excoffier et al. 2005). To compare haplotype richness (rh) across regions, rarefaction was used to correct for unequal sample sizes using FSTAT 2.9.3 software (Goudet 1995), with n = 56 for the chloroplastic and mitochondrial data. Each region was thus considered as a set of 56 individuals. Haplotype richness was recalculated on the individual populations in each region, and significance was computed using a nonparametric permutation test with 2000 permutations. Similar analyses were performed to infer the diversity (1) in France based on n = 25, excluding two locations for which sample size was too small (Perros‐Guirec and Mediterranean), (2) in Argentina with n = 11, and (3) in Korea with n = 7 excluding one location (Seogeondo). To compare haplotype diversities across sampling locations, rarefaction was used to correct for unequal sample sizes (n = 10). Haplotype richness estimates were calculated using EstimateS 9.1.0 (Colwell et al. 2012) with each region considered as a single sample. Mean rarefaction curves and the nonparametric estimator (Chao1) were estimated for each gene and cytoplasmic type (the association between mitotype and chlorotype) with 1000 runs of randomization. We extrapolated rarefaction curves with a factor of 1.5 to the sample set.

Phylogenetic relationships among chlorotypes and mitotypes were reconstructed using median‐joining networks using Network software version 4.2.0.1 (Bandelt et al. 1999).

To test for genetic divergence among three regions, populations were grouped according to their geographic location. A hierarchical analysis of molecular variance (AMOVA) was implemented in Arlequin v 3.11 (Excoffier et al. 2005) to analyze the partitioning of genetic variance among and within the three geographic regions. Φ‐statistics were calculated as pairwise differences among locations and their significance was evaluated using a nonparametric permutation test with 10,000 permutations. Moreover, the genetic structure between sampled areas was implemented in GENEPOP web version 4.0.10 (Raymond and Rousset 1995) by calculating an estimate of F ST (Weir and Cockerham 1984).

Results

Chloroplast diversity

After editing rbcL sequences, an alignment of 1225 bp was built on 521 individuals. Ten polymorphic chlorotypes and nine polymorphic sites (0.73%) were observed (GenBank accession number: KP729448–KP729457, Supporting information). Chlorotypes differed by 1–4 bp (Fig. 2). The distribution of these chlorotypes is given in Figure 2. Over the whole dataset, three chlorotypes (C1, C2, and C4) were found at high frequency (>20%) compared with the others that showed a frequency lower than 7% (C3: 6.9%, C5: 0.8%, C6: 0.4%, C7: 0.2%, C8: 0.2%, C9: 1.2%, and C10: 1%). The most frequent chlorotype C1 was observed in 250 individuals (48%) and corresponded to the central chlorotype in the network. The C2 was observed in 110 individuals (21%), and C4 was observed in 106 individuals (20%).

Figure 2.

Figure 2

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Diversity and the distribution of chlorotypes of Polysiphonia morrowii collected in the North Atlantic (n = 297), the South Atlantic (n = 56), and the North Pacific (n = 168). Different colors represent distinct chlorotypes. Private chlorotypes are shown in white. Left, median‐joining network analysis of relationships among of rbcL sequences in 521 individuals of P. morrowii. Circle surface area is proportional to chlorotype frequency. Lines drawn between chlorotypes represent single mutational steps, and small bars represent additional mutational steps. In the top right, Venn diagram representing chlorotypes shared within the three different areas.

Six chlorotypes (60%) were unique to a single region: C2 was found only in the North Atlantic, C10 was found only in the North Pacific, and four chlorotypes (C5, C6, C7, and C8) were found only in the South Atlantic (Fig. 2). Chlorotype C4 was the most frequent in the North Pacific and it was found only once in the North Atlantic (1%). Chlorotype C1 was the only one present in all three regions. Although it was a frequent chlorotype in the North Atlantic (58%) and the South Atlantic (86%), it was less common in the North Pacific (17%).

Mitochondrial diversity

After editing cox1 sequences, an alignment of 559 bp was built on 521 individuals. Ten polymorphic sites (1.8%) defining 10 mitotypes were observed (GenBank accession number: KP729458–KP729467, Supporting information). Pairs of mitotypes were separated by 1–7 bp (Fig. 3). The cox1 network revealed four frequent mitotypes (Fig. 3). The most frequent haplotype M2 (32%) was found at the center of the network. The mitotypes M3, M6, and M4 were found at frequencies of 27%, 20%, and 18.5%, respectively. Six mitotypes M1, M5, M7, M8, M9, and M10 were infrequent (between 0.2% and 0.6%). Two mitotypes (M3 and M4) were common to all three regions (South Atlantic, North Atlantic, and North Pacific), and two other mitotypes (M2 and M6) were shared only between the North Atlantic and the North Pacific (Fig. 3). Four mitotypes (50%) were unique to the North Atlantic (M1, M5, M7, and M8) and two mitotypes (1%) were unique to the North Pacific (M9 and M10). The North Pacific and the North Atlantic shared four mitotypes: three (M2, M3, and M4) were being abundant in the North Atlantic, whereas only one (M6) was abundant in the North Pacific.

Figure 3.

Figure 3

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Diversity of Polysiphonia morrowii and the distribution of mitotypes collected in the North Atlantic (n = 297), the South Atlantic (n = 56) and the North Pacific (n = 168). Different colors represent distinct mitotypes. Private mitotypes are shown in white. Left, median‐joining network analysis of relationships among of the cox1 sequence in 521 individuals of P. morrowii. Circle surface area is proportional to mitotype frequency. Lines drawn between mitotypes represent single mutational steps, and small bars represent additional mutational steps. In the top right, Venn diagram representing mitotypes shared within the three different areas.

Cytoplasmic type diversity

The association between chlorotypes and mitotypes for the 521 individuals is given in Table 1. More than 70% of individuals had cytoplasmic types shared by at least two regions. The cytoplasmic type C1_M3 (26%) was the most frequent and was found in all three regions (South Atlantic, North Atlantic, and North Pacific), whereas the next most frequent cytoplasmic type C2_M2 (20%) was only observed in the North Atlantic (Fig. 4). The cytoplasmic type C4_M6 (91% of the sampled individuals) was mainly observed in the North Pacific in which 11 populations from Jeju Island, Korea, were composed mainly of cytoplasmic type C4_M6 (Fig. 4). In Korea, the Goseong population showed cytoplasmic type C3_M2 and the Deoksan population and four populations from the Gyeongnam Province in the south shared several cytoplasmic types. The Japan population (considered as the native population) showed two cytoplasmic types: C1_M2 also identified in the Gyeongnam Province and in Roscoff population (France) and C1_M6 only present in North Pacific.

Table 1.

Association between chloroplastic (rbcL) and mitochondrial (cox1) sequences in Polysiphonia morrowii from the North Pacific, North Atlantic, and South Atlantic

rbcL cox1
M1 M2 M3 M4 M5 M6 M7 M8 M9 M10
C1 3NA 18 137 87 4NP 1NA
C2 105NA 2NA 1NA 1NA 1NA
C3 29 4NA 2NP 1NP
C4 9NP 96NP* 1NP
C5 4SA
C6 2SA
C7 1SA
C8 1SA
C9 5NA 1NP
C10 3NP 2NP
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The number given for each genetic combination corresponds to the number of individuals bearing this cytoplasmic type.

NP, private cytoplasmic type of North Pacific; NA, private cytoplasmic type of the North Atlantic; SA, private cytoplasmic type of the Southwest Atlantic; NP*, cytoplasmic type found in 98.9% in the North Pacific samples.

Figure 4.

Figure 4

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Diversity of Polysiphonia morrowii collected in the North Atlantic (n = 297), the South Atlantic (n = 56), and the North Pacific (n = 168) and the distribution of cytoplasmic types. Different colors represent distinct cytoplasmic types, that is, associations between chlorotypes and mitotypes. Private cytoplasmic types are shown in white. In the top right, Venn diagram representing cytoplasmic types shared within the three different areas.

Three populations from the South Atlantic showed relatively high genetic diversity, with at least three different cytoplasmic types, and populations from Ameghino and Las Charas featured two additional, unique cytoplasmic types C7_M4 and C8_M4, respectively. In the North Atlantic, population diversity was contrasted among sampled localities. Roscoff, Concarneau, and Quiberon showed greater haplotype diversity (H ranged from 0.249 to 0.775) and greater haplotype richness (rh ranged from 1.4 to 2.5) than the other sites (H = 0, rh = 1). We identified the same unique cytoplasmic type C1_M3 in Rothéneuf, Saint‐Malo, Perros‐Guirec, and the Mediterranean Sea (Fig. 4). The Dinard population showed only one cytoplasmic type, C1_M4. With 14 cytoplasmic types, Roscoff showed the highest number of cytoplasmic types of all populations (Fig. 4).

Rarefaction analysis of the rbcL gene suggested that all chlorotypes present in the native area and in the North Atlantic were sampled (five chlorotypes for each area): Both the sample data and the Chao1 estimate curves leveled off (Fig. 5). However, in the South Atlantic, the rarefaction curve did not reach an asymptote, indicating that sampling effort was insufficient to estimate the genetic diversity adequately. Conversely, for the mitochondrial cox1 gene, the rarefaction curve reached an asymptote, indicating that all mitotypes were sampled (2), in the South Atlantic, which was not the case in the other two regions. Finally, the analysis indicated that the diversity of the cytoplasmic types was not described in its entirety for any of the three regions.

Figure 5.

Figure 5

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Rarefaction analyses of chlorotype, mitotype, and cytoplasmic type diversity for the three study regions (NP: North Pacific, NA: North Atlantic, and SA: South Atlantic). Reference samples (gray lines), Chao1 mean estimator (black lines) (and standard errors) and extrapolation curves (dashed lines) are shown. Horizontal axis and vertical axis, respectively, correspond to the number of individuals sampled and the number of haplotypes or cytoplasmic types.

Population structure

Over the whole dataset, the number of chlorotypes was similar to that of mitotypes, regardless of the region: 5, 5, and 5 chlorotypes versus 6, 8, and 2 mitotypes, for the North Pacific, North Atlantic, and South Atlantic regions, respectively (Table 2). The sequence divergences estimated by haplotype diversity (H) and nucleotide diversity (π) for the chloroplastic and the mitochondrial markers are given in Table 2. The estimates of genetic diversity (H) were similar for rbcL and cox1, regardless of the region considered (Table 2). The values of chloroplast and mitochondrial haplotype richness were not significantly different among regions (nonparametric permutation test, P‐value = 0.92). The genetic diversity of the native populations (North Pacific) varied widely among locations. The populations of the Dugok, in GyeongNam Province, Korea, showed relatively high diversity (H = 0.69 for rbcL and H = 0.56 for cox1), whereas the populations from locations on Jeju island were much less variable (H = 0.00 for rbcL and H = 0.00–0.56 for cox1) (Table 2). Genetic variation in introduced populations (North Atlantic and South Atlantic) also varied considerably. In Brittany, the population established in Quiberon showed relatively high level of variability (H = 0.48 for rbcL and H = 0.43 for cox1), whereas the populations of Saint‐Malo showed no variation at all (H = 0.00 for rbcL and H = 0.00 for cox1). In introduced regions, a reduction in genetic diversity was observed in the South Atlantic region compared with the North Atlantic region (H and π, Table 2). Pairwise comparison among regions (AMOVA) revealed that the genetic diversity between the North Atlantic and the South Atlantic was not significantly different for the rbcL gene (Table 3) and the majority of variation was significantly partitioned among and within populations, not between regions. Pairwise analyses between the North Pacific and the two Atlantic regions showed that the genetic variation (chloroplastic and mitochondrial) was equally explained by the differentiation between regions and the differentiation between populations within each region. For rbcL gene, the lowest genetic differentiation value was observed between the Northern and Southern Atlantic regions, whereas the highest values were observed between native and introduced regions (Table 3). Unlike, for cox1 gene, the lowest genetic differentiation values were observed between Pacific and Atlantic Northern regions. Genetic differentiation between pairs of populations (F ST) is given in supplementary material (Table S1).

Table 2.

Sampling locations and diversity measures for chloroplastic (rbcL) and mitochondrial (cox1) genes in Polysiphonia morrowii

Location n rbcL cox1
nh rh H (SD) π × 103 (SD) nh rh H (SD) π × 103 (SD)
North Pacific (Korea and Japan) 168 5 3.6 0.509 (0.040) 1.068 (0.742) 6 3 0.498 (0.031) 1.863 (1.380)
Deoksan, Gangwondo 7 1 1 0 0 2 1.8 0.286 (0.196) 1.533 (1.398)
Goseong, GyeongNam 7 1 1 0 0 1 1 0 0
Dugok, GyeongNam 9 4 3.3 0.694 (0.147) 1.451 (1.048) 2 2 0.556 (0.090) 1.988 (1.617)
Honghyeon, GyeongNam 11 1 1 0 0 3 2.2 0.345 (0.172) 1.496 (1.297)
Mijori, GyeongNam 8 2 2 0.535 (0.123) 0.437 (0.458) 1 1 0 0
Sachon, GyeongNam 11 2 2 0.436 (0.133) 0.356 (0.388) 2 1.6 0.182 (0.143) 0.651 (0.762)
Ongpo, Jeju 10 1 1 0 0 1 1 0 0
Gimnyeong, Jeju 10 1 1 0 0 1 1 0 0
Hamdeok, Jeju 10 1 1 0 0 1 1 0 0
Seongsan, Jeju 10 1 1 0 0 1 1 0 0
Geumneung, Jeju 10 1 1 0 0 1 1 0 0
Sehwa, Jeju 10 1 1 0 0 1 1 0 0
Seogeondo, Jeju 5 1 1 0 0 1 1 0 0
Sagye, Jeju 10 1 1 0 0 1 1 0 0
Pyoseon, Jeju 10 1 1 0 0 2 1.9 0.355 (0.159) 1.272 (1.174)
Hado, Jeju 9 1 1 0 0 3 2.6 0.555 (0.165) 2.186 (1.733)
Ojori, Jeju 10 1 1 0 0 2 2 0.533 (0.095) 1.908 (1.551)
Hakodate, Hokkaido, Japan 11 1 1 0 0 2 2 0.436 (0.133) 1.561 (1.335)
North Atlantic (France) 297 5 2.8 0.520 (0.017) 0.791 (0.597) 8 3.5 0.631 (0.014) 1.876 (1.383)
Rothéneuf 25 1 1 0 0 1 1 0 0
Saint‐Malo 26 1 1 0 0 1 1 0 0
Dinard 25 1 1 0 0 1 1 0 0
Perros‐Guirec 7 1 1 0 0 1 1 0 0
Roscoff 131 5 2.3 0.405 (0.046) 0.599 (0.496) 8 2.4 0.370 (0.052) 1.103 (0.971)
Concarneau 31 2 1.4 0.124 (0.077) 0.204 (0.263) 3 1.7 0.185 (0.090) 0.554 (0.652)
Quiberon 48 3 2.5 0.483 (0.070) 0.633 (0.522) 3 2.3 0.435 (0.075) 1.280 (1.084)
Mediterranean 4 1 1 0 0 1 1 0 0
South Atlantic (Argentina) 56 5 3.1 0.263 (0.076) 0.253 (0.293) 2 1.7 0.103 (0.054) 0.554 (0.643)
Casino 11 2 1.9 0.327 (0.153) 0.267 (0.327) 2 2 0.436 (0.133) 2.342 (1.781)
Ameghino 16 3 2 0.242 (0.135) 0.293 (0.335) 1 1 0 0
Las Charas 29 4 2 0.258 (0.104) 0.221 (0.276) 1 1 0 0
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n, Number of individuals per sampling location; nh, number of identified haplotypes; rh, haplotype richness after rarefaction to 56 individuals for regions, and, at the population level, to seven individuals for the North Pacific, 25 individuals for the North Atlantic, and 11 individuals for the South Atlantic; H, haplotype diversity (SD, standard deviation), π nucleotidic diversity (SD, standard deviation).

Table 3.

Hierarchical analysis of molecular variance for each marker in pairwise comparisons of regions

Marker Source of variation df Sum of squares Variance component % Variance Φ‐statistics
North Pacific/North Atlantic
rbcL Among regions 1 102.559 0.40746 39.23 ΦCT = 0.392a
Among populations within regions 24 174.285 0.44711 43.05 ΦSC = 0.708a
Within populations 439 80.803 0.18406 17.72 ΦST = 0.822a
Total 464 357.647 1.03862
cox1 Among regions 1 105.908 0.43237 42.06 ΦCT = 0.420a
Among populations within regions 24 151.866 0.38651 37.60 ΦSC = 0.648a
Within populations 439 91.818 0.20915 20.34 ΦST = 0.796a
Total 464 349.591 1.02804
North Pacific/South Atlantic
rbcL Among regions 1 34.933 0.30011 32.99 ΦCT = 0.329a
Among populations within regions 19 100.947 0.51461 56.57 ΦSC = 0.844a
Within populations 203 19.285 0.09500 10.44 ΦST = 0.895a
Total 223 155.165 0.90972
cox1 Among regions 1 107.126 1.20752 71.72 ΦCT = 0.717a
Among populations within regions 19 60.216 0.29467 17.50 ΦSC = 0.619a
Within populations 203 36.814 0.18135 10.77 ΦST = 0.892a
Total 223 204.156 1.68354
North Atlantic/South Atlantic
rbcL Among regions 1 14.783 0.06391 11.15 ΦCT = 0.111
Among populations within regions 9 74.139 0.28187 49.18 ΦSC = 0.553a
Within populations 342 77.752 0.22735 39.67 ΦST = 0.603a
Total 352 166.674 0.57312
cox1 Among regions 1 67.251 0.59374 51.20 ΦCT = 0.512a
Among populations within regions 9 95.595 0.36674 31.63 ΦSC = 0.648a
Within populations 342 68.095 0.19911 17.17 ΦST = 0.828a
Total 352 230.941 1.15959
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a

Significance is based on 10,000 permutations: <0.001.

Discussion

The use of chloroplastic and mitochondrial marker genes has increased in the past decade for the assessment of inter‐ and intraspecific genetic diversity (Sherwood et al. 2010) and to trace the origin of introduced seaweed species (Voisin et al. 2005; Kim et al. 2010; Rueness 2010; Geoffroy et al. 2012; Dijoux et al. 2014). The combined use of both cytoplasmic genomes to trace introduction routes in seaweed is relatively rare (Sherwood et al. 2011). In most Rhodophyta species, cytoplasmic genomes are characterized by clonal reproduction and maternal cotransmission (Zuccarello et al. 1999a, 1999b; Zuccarello and West 2003; Destombe et al. 2010; but see Choi et al. 2008). Therefore, the combination of chloroplastic and mitochondrial markers (cytoplasmic types) can be a powerful marker for tracing origins of introduced populations because both types of markers are transmitted from one generation to the next without recombination (Birky 2001).

In our study, the combination of these two cytoplasmic markers revealed 26 cytoplasmic types, distributed both among and within populations. Species diversity for both markers (H and π, see Table 2) was similar for the introduced North Atlantic and for the native North Pacific but lower for the South Atlantic, even after accounting for its relatively small sample size. The majority of the Atlantic populations (60%) were polymorphic, with two to five different cytoplasmic types per population. Surprisingly, our results show high genetic structure among Asian populations corresponding to low within‐population genetic diversity and little sharing of cytoplasmic types among the sampled North Pacific populations. For example, populations from Jeju Island, Deoksan, Goseong (Korea), and Hakodate (Japan) did not share any cytoplasmic types, suggesting that populations are genetically isolated. These discrepancies between native and introduced populations suggest that P. morrowii was likely introduced in the Atlantic by multiple introduction events from different native populations. However, monomorphism was observed in four introduced populations in Brittany, namely Rothéneuf, Saint‐Malo, Perros‐Guirec, and Dinard, suggesting a severe population bottleneck arising from a single‐event introduction. Although population bottlenecks and founder effects have been reported to be a common characteristic of colonization events leading to depressed genetic diversity in introduced populations compared with the source populations (Tsutsui et al. 2000), recent reviews indicate that the loss of variation is, on average, limited (Dlugosch and Parker 2008; Rius et al. 2015). Recurrent introduction events are frequently cited as a possible explanation of enhanced variation on introduced populations (Roman and Darling 2007).

The South Atlantic and North Atlantic regions showed similar cytoplasmic type structures. Two cytoplasmic types, C1_M3 and C1_M4, present in all three regions, were abundant in the North and South Atlantic, but rare in the North Pacific. The presence of these two cytoplasmic types in all three geographically distant regions is good evidence that P. morrowii is a recent introduction in at least two of these regions. We hypothesize that one region served as a stepping stone for the other. Given that the diversity is higher in the North Atlantic, it is likely that this latter region was the intermediate source for the introduction of P. morrowii in the South Atlantic.

Various studies of seaweed introductions (e.g., Caulerpa taxifolia (Meusnier et al. 2004), Neosiphonia harveyi (McIvor et al. 2001), Gracilaria vermiculophylla (Kim et al. 2010) have suggested that many widespread introductions may have originated from a particularly successful introduced population (corresponding to a restricted number of genotypes) rather than from genotypes representative of the native range (Lombaert et al. 2010). For example, patterns of genetic diversity suggest that the first introduction of U. pinnatifida on the Atlantic coasts originated from a population already established in the Thau lagoon (Mediterranean Sea), where it was accidentally introduced (Voisin et al. 2005). Similarly, in P. morrowii, the most frequent cytoplasmic type observed in Brittany (C1_M3) was identical to that detected in Thau lagoon on the French Mediterranean coast (Fig. 4). Thau lagoon has been considered as a “hotspot” for introduced species from the Northwest Pacific due to oyster imports since 1970 (Verlaque 2001) and may have been one of the intermediate sources of introduction via aquaculture in Brittany. Interestingly, this cytoplasmic type (C1_M3) was relatively rare in Asian populations, except in the Deoksan samples. Moreover, the cytoplasmic type (C1_M4) frequently detected in the South Atlantic populations and in Dinard (Brittany) was also observed in Deoksan (Korea). Together, these observations strongly suggest recent introduction events of P. morrowii in the Atlantic from the region around Deoksan, Korea.

Aquaculture activities and shipping are considered to be the most important vectors for macroalgal introductions (Molnar et al. 2008). In our study, the observation of P. morrowii populations in proximity to mollusk‐farming areas in Brittany (i.e., Roscoff, Concarneau, and Quiberon) suggests that P. morrowii may have been accidentally introduced during the deliberate import of Pacific oysters Crassostrea gigas. Oyster transport has been shown to be a major vector of recurrent seaweed introduction in Europe (Sjøtun et al. 2008; Boudouresque et al. 2011; Farnham 1980; Mineur et al. 2010). Recently, Manghisi et al. (2010) demonstrated that the red alga Agardhiella subulata, endemic to the Atlantic coast of North America, was introduced to Sicily from the Netherlands as a plantlet growing on a C. gigas shell. P. morrowii is reported as an intertidal species and is found on a large variety of substrata including rocks, wooden piles, ropes, mussels, crabs, and shells, as well as other large algae, such as S. muticum and U. pinnatifida (Kudo and Masuda 1992; Kim et al. 1994). Therefore, repeated import of mollusks and seaweeds is a likely vector of the spread of P. morrowii in France.

Nevertheless, it has been shown that ship‐ballasting practices contribute to the establishment of veritable marine invasion highway (Ricciardi and MacIsaac 2000). A species flow network model recently showed that ports in the Pacific are frequent sources of species that invade South America and Western Europe ports (directly or via a Mediterranean stepping stone) (Xu et al. 2014). Moreover, a study assessing the applicability of the metabarcoding methodology for the detection of organisms in ballast waters, carried out during a cruise from Bremerhaven to Cape Town shows that red algae and, in particular, Polysiphonia sp. can survive the 21 days of travel in the ballast (Zaiko et al. 2015). In light of these two studies, ballast waters are a credible vector of spread and/or introduction of P. morrowii. Nonetheless, the presence of the private chlorotype C2 found only in Brittany (Roscoff, Concarneau, and Quiberon) and four private chlorotypes C5, C6, C7, and C8 detected only in Argentina contradicts this scenario. There are at least three possible origins of these private cytoplasmic types in Brittany and Argentina. First, the phylogenetic analysis indicated that these cytoplasmic types derive from other Asian populations that were not sampled, requiring additional, extensive sampling to detect them. Second, these chlorotypes may correspond to a previous, older introduction in the North Atlantic during the last two centuries. Third, chlorotypes C2, C5, C6, C7, and C8 are all associated with five different mitotypes, possibly corresponding to native lineages of P. morrowii that have gone unnoticed in Brittany (Geoffroy et al. 2012) and in Argentina (Raffo et al. 2014) until this study. The morphological similarity with local species P. stricta and P. atlantica (Kim and Lee 1996) in the North Atlantic and with P. abscissa in the South Atlantic may have obscured previous introductions. Although the alien or native status of P. morrowii in the Atlantic is difficult to demonstrate – because it is impossible to date P. morrowii introductions – the high observed frequencies of private chlorotypes and cytoplasmic types in the North and South Atlantic (Table 1) strongly suggest that P. morrowii was already present before recent introduction events.

Our study, which shows relatively high genetic diversity and structure in the North Atlantic and South Atlantic, suggests recent recurrent introduction events through human activities; however, we cannot determine the specific route of introduction nor when this species was introduced. We therefore conclude that P. morrowii is a cryptogenic species as defined by Carlton (1996).

Data Accessibility

DNA sequences: GenBank accessions KP729448–KP729467 and file in Supporting information created with unique DNA sequences for each mtDNA and cpDNA haplotype.

Conflict of Interest

None declared.

Supporting information

Table S1. Pairwise region genetic differentiation (pairwise F ST estimates).

Click here for additional data file. (14.2KB, docx)

Appendix S1. Sampling and genetic information for 521 individuals.

Click here for additional data file. (45.7KB, txt)

Appendix S2. Unique DNA sequences for each mtDNA and cpDNA haplotype.

Click here for additional data file. (17.9KB, txt)

Acknowledgments

This study was partially supported by grants from the French Ministry for the Economy, Industry and Employment and the Brittany Regional Council through the project AQUACTIFS “Convention de soutien de l’état à des actions de recherche et d'innovation par voie de subvention – Fonds de compétitivité des entreprises”. Sequencing was carried out by Genoscope through the “Bibliothèque du Vivant” network funded by the CNRS, the French National Natural History Museum, INRA, and the CEA (Centre National de Séquençage). Warm thanks to J. Moreau for her help in sampling, to I. Barbara and M. Verlaque for providing samples from the Mediterranean Sea.

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Associated Data

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

Supplementary Materials

Table S1. Pairwise region genetic differentiation (pairwise F ST estimates).

Click here for additional data file. (14.2KB, docx)

Appendix S1. Sampling and genetic information for 521 individuals.

Click here for additional data file. (45.7KB, txt)

Appendix S2. Unique DNA sequences for each mtDNA and cpDNA haplotype.

Click here for additional data file. (17.9KB, txt)

Data Availability Statement

DNA sequences: GenBank accessions KP729448–KP729467 and file in Supporting information created with unique DNA sequences for each mtDNA and cpDNA haplotype.

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