Skip to main content
Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Evolutionary Origin and Phylogeography of the Diploid Obligate Parthenogen Artemia parthenogenetica (Branchiopoda: Anostraca)

  • Joaquín Muñoz ,

    Contributed equally to this work with: Joaquín Muñoz, Africa Gómez

    Affiliation Department of Wetland Ecology, Estación Biológica de Doñana (CSIC), Isla de la Cartuja, Seville, Spain

  • Africa Gómez ,

    Contributed equally to this work with: Joaquín Muñoz, Africa Gómez

    Affiliation Department of Biological Sciences, University of Hull, Hull, United Kingdom

  • Andy J. Green,

    Affiliation Department of Wetland Ecology, Estación Biológica de Doñana (CSIC), Isla de la Cartuja, Seville, Spain

  • Jordi Figuerola,

    Affiliation Department of Wetland Ecology, Estación Biológica de Doñana (CSIC), Isla de la Cartuja, Seville, Spain

  • Francisco Amat,

    Affiliation Instituto de Acuicultura de Torre de la Sal (Consejo Superior de Investigaciones Científicas), Ribera de Cabanes (Castellón), Spain

  • Ciro Rico

    Affiliation Department of Wetland Ecology, Estación Biológica de Doñana (CSIC), Isla de la Cartuja, Seville, Spain



Understanding the evolutionary origin and the phylogeographic patterns of asexual taxa can shed light on the origin and maintenance of sexual reproduction. We assessed the geographic origin, genetic diversity, and phylogeographic history of obligate parthenogen diploid Artemia parthenogenetica populations, a widespread halophilic crustacean.

Methodology/Principal Findings

We analysed a partial sequence of the Cytochrome c Oxidase Subunit I mitochondrial gene from an extensive set of localities (including Eurasia, Africa, and Australia), and examined their phylogeographic patterns and the phylogenetic relationships of diploid A. parthenogenetica and its closest sexual relatives. Populations displayed an extremely low level of mitochondrial genetic diversity, with one widespread haplotype shared by over 79% of individuals analysed. Phylogenetic and phylogeographic analyses indicated a multiple and recent evolutionary origin of diploid A. parthenogenetica, and strongly suggested that the geographic origin of parthenogenesis in Artemia was in Central Asia. Our results indicate that the maternal sexual ancestors of diploid A. parthenogenetica were an undescribed species from Kazakhstan and A. urmiana.


We found evidence for multiple origin of parthenogenesis in Central Asia. Our results indicated that, shortly after its origin, diploid A. parthenogenetica populations underwent a rapid range expansion from Central Asia towards the Mediterranean region, and probably to the rest of its current geographic distribution. This contrasts with the restricted geographic distribution, strong genetic structure, and regional endemism of sexual Artemia lineages and other passively dispersed sexual continental aquatic invertebrates. We hypothesize that diploid parthenogens might have reached their current distribution in historical times, with a range expansion possibly facilitated by an increased availability of suitable habitat provided by anthropogenic activities, such as the spread of solar saltworks, aided by their natural dispersal vectors (i.e., waterbirds).


Parthenogenetic organisms tend to have broadly distributed genetic lineages, wider geographic distributions than their sexual relatives, and a propensity to occur in marginal areas (see [1] and references therein). Several non-exclusive hypotheses have been put forward to explain this phenomenon, ranging from their better colonisation abilities through reproductive assurance (i.e. a single female individual can reproduce and establish a new population) to their hybrid origin, polyploidy, or metapopulation dynamics (see [2] for a detailed discussion). Some of these hypotheses involve non-equilibrium scenarios for the advantage of parthenogenetic strategies (e.g. habitat dynamics or climatic trends could temporally favour parthenogenetic strategies). In this context, the use of phylogeographic tools to understand the historical dynamics of reproductive patterns might shed light on the widely debated maintenance of sexual reproduction [3][5].

Diapausing aquatic invertebrates represent an exceptional model to investigate the historical dynamics of sexual and parthenogenetic strategies. These organisms display an array of reproductive modes, often found in closely related taxa [6]. They produce resting eggs (i.e. encysted embryos in an arrested state of development), also called cysts, which form egg banks in the sediments of aquatic systems [7], facilitate survival of populations at extreme conditions [8][10], and allow dispersal via waterbirds (see [11] for a review). Nevertheless, despite their high potential for dispersal, most phylogeographic analyses in both sexual and cyclically parthenogenetic species show high levels of population genetic differentiation and regional genetic endemism [12][16]. In contrast, the few studies carried out in obligate parthenogenetic taxa indicate that genetic lineages are closely related, and identical or highly related clones are found over vast geographic areas [17], [18]. Examples of wide geographic distribution of genetic lineages have also been reported in a few species with mixed or alternative reproduction modes, including hermaphroditism, which, like obligate parthenogens, can potentially establish populations from a single propagule (i.e. diapausing egg) [15], [19], [20]. In all these cases, the historical availability of suitable habitat, either through human-mediated inoculations or postglacial processes, seems to have favoured organisms with unisexual modes of reproduction. Finally, these studies highlight that obligate parthenogenetic lineages are overwhelmingly very young from an evolutionary standpoint (but see [5]).

Brine shrimps Artemia Leach, 1819 (Crustacea: Branchiopoda: Anostraca) inhabit hypersaline aquatic ecosystems worldwide, except Antarctica [21]. This genus comprises both sexual and obligately parthenogenetic lineages, which disperse passively through cysts. The binomen Artemia parthenogenetica Bowen and Sterling, 1978 (see [22] for taxonomic details) comprises an assemblage of parthenogenetic lineages with different levels of ploidy (from 2n to 5n). Artemia parthenogenetica is distributed over a vast geographic area, from the Canary Islands (in the west) to Australia (in the east) including large sections of Europe, Asia and Africa [23], [24], whereas its putative sexual relatives have more restricted distributions [21] (see Figure 1). The parthenogenetic diploid lineages are automictic (i.e. there is meiotic recombination during the cellular division but the products of meiosis fuse at some point to restore diploidy), while the polyploid lineages are apomictic parthenogens (i.e. offspring is genetically identical to the mother barring mutation) [25].

Figure 1. Geographic distribution of diploid Artemia parthenogenetica sampled sites, and geographic distribution of the Central Asian sexual species included in the genetic analyses (see text for details).

Parthenogenetic population codes match those of Table 2. Due to the scale of the map, the parthenogen populations from Namibia and Australia are not shown.

The closest sexual relative to parthenogenetic lineages of Artemia and the origin of parthenogenesis is debated [26], [27]. Nuclear sequence variation of the ribosomal Internal Transcribed Spacer 1 (ITS1) and mitochondrial DNA RFLP analysis of 16S ribosomal RNA indicated that the closest sexual relatives of confirmed diploid A. parthenogenetica (i.e. Namibia and Torre Colimena, in Italy [28]) were A. urmiana from Iran or A. tibetiana from Tibet [26]. On the other hand, some Chinese parthenogenetic lineages with an undetermined grade of ploidy were closely related to A. sinica from China. Although these analyses clarified the phylogenetic relationships of the genus, they did not provide sufficient resolution to shed light on the relationships between diploid Artemia parthenogenetica (A. parthenogenetica henceforth) lineages and their sexual relatives, nor on the phylogeographic history of their populations. Recent analyses based on sequence variation of the Cytochrome c Oxidase Subunit I (COI or cox1) mitochondrial gene have shown that the sexual Central Asian species, A. tibetiana, A. urmiana, and a sexual undescribed isolate from Kazakhstan [29] are closely related to each other and to A. parthenogenetica [16]. More detailed phylogeographic and phylogenetic analyses of these relationships are, however, required to resolve the origin and history of diploid parthenogenetic populations.

Here we examine the geographic distribution of mitochondrial lineages for A. parthenogenetica and investigate its phylogenetic relationships with the sexual Central Asian Artemia species. We assess the genetic diversity from a fragment of the COI mitochondrial gene of A. parthenogenetica populations from a large part of their distribution range, and include a new sexual population from the undescribed Artemia sp. from Kazakhstan. Our results shed light on the closest sexual relatives (i.e. the maternal evolutionary origin) and the geographic origin and history of parthenogenesis in Artemia, and indicate that the diploid parthenogens have undergone a very recent episode of geographic expansion.


Genetic diversity and haplotype distribution

COI sequences (658 bp) from 102 individuals collapsed into a total of eight haplotypes from the 12 A. parthenogenetica populations analysed (see Table 1). Sequences did not show insertions, deletions or stop codons. The most commonly occurring haplotype was APD02 (found in 79% of individuals), which was found in all populations, except KUJ and WAD, in varying frequencies. All haplotypes except two (APD07 and APD08) differed from APD02 in just one or two substitutions. While nine individuals from ODI shared haplotype APD01, which differs by one substitution from the commonest haplotype, one individual from LAR and from ATA showed a third (APD03) and sixth (APD06) haplotype, respectively, which also differed from APD02 by a single substitution. Two haplotypes were exclusive to KUJ (APD04) and WAD (APD05), differing in one and two substitutions, respectively, from the common haplotype APD02. Additionally, the two shorter parthenogenetic Artemia sequences reported in GenBank from Australia (i.e. AY953368 and AY953369) differed in three and one substitutions, respectively, from the APD02 haplotype (see Table 1 for details). In contrast, haplotypes APD07 and APD08 were closely related to the available A. urmiana haplotype (three and two substitutions, respectively). In summary, haplotypes from parthenogenetic populations formed a common and widespread lineage of six highly similar haplotypes (eight if including the Australian ones) despite the large geographic distances that separate the populations analysed, while two of them form a ‘rare’ and ‘localised’ lineage from a single population (ATA). Excluding the Australian haplotypes, both H and π were very low, with values of 0.3349 (±0.059) and 0.00072 (±0.0007), respectively.

Table 1. Detailed information on diploid Artemia parthenogenetica haplotypes (Hap.) and their relative frequencies, number of individuals analysed (n) per population, and the Accession Number (Acc. Num.) from GenBank database.

The haplotype network for diploid A. parthenogenetica haplotypes from the common lineage displayed a star shape (Figure 2) with APD02 as the central one. This haplotype showed a very wide geographic distribution, from Portugal (RIO, SEN populations) to Kazakhstan (BJU population), and Namibia (NAM population) (see Table 1 and Figure 2 for details). The haplotype from the sexual isolate species from Kazakhstan (collected in 1996) described by Hou et al. [30] did not differ from APD02. The rest of haplotypes from Kazakhstan (collected on 1988) differed by between six and ten substitutions from APD02. Specific locations for both samples from Kazakhstan are unknown, although their different haplotype composition suggests that they presumably come from different populations. Artemia urmiana, one of the closest recognized sexual species to A. parthenogenetica, showed 13–16 substitutions with respect to the commonest parthenogenetic haplotype APD02 (see Table 1 for details) but was closely related to two haplotypes from the ATA population. At the inter-specific level, average uncorrected COI sequence divergences (see Table 2) between the common parthenogenetic lineage and the two closest sexual relatives, Artemia sp. from Kazakhstan and A. urmiana, were 1.4% and 2.0%, respectively. A much higher value was found between parthenogens and A. tibetiana (5.2%).

Figure 2. Statistical Parsimony network of all available diploid Artemia parthenogenetica haplotypes - in white - and two closely related Central Asian sexual species (Artemia sp. from Kazakhstan - in pale grey - and A. urmiana - in dark grey).

Circle diameter is proportional to the relative haplotype frequency. The haplotype codes correspond to those listed in Table 1. Connecting lines indicate single substitutions and small black circles represent putative missing haplotypes. AurDQ51 =  A. urmiana haplotype with GenBank Acc Num DQ119651.

Table 2. Net evolutionary divergence (i.e. the number of base differences per site from estimation of net average between groups of sequences) between Artemia species/lineages estimated by MEGA 4.0.

Mismatch distribution

The results of the mismatch distribution (see Figure 3) showed that the common parthenogenetic lineage, excluding the shorter Australian haplotypes, was compatible with the ‘unimodal’ distribution model of a rapidly expanding population [31]. Estimated parameters from the sudden expansion model were: mismatch observed mean  = 0.473 and mismatch observed variance  = 0.557, and the test of goodness-of-fit of the SSD gave a value of 0.0012 with a non-significant p-value of 0.601.

Figure 3. Mismatch distribution from the whole diploid Artemia parthenogenetica dataset.

The solid black line with black squares indicates the observed distribution, and the solid black line with the white circle indicates the simulated distribution based on the sudden expansion model performed with Arlequin software. Dashed lines represent the upper and lower confidence intervals (α = 0.05) based on 1000 pseudo-replicates.

Phylogenetic relationships

The phylogenetic reconstructions were robust to use of either NJ or ML, different outgroups or a range of different substitution models (results not shown). The phylogenetic tree (Figure 4) showed a similar topology in both NJ and ML analyses with a highly supported and closely related lineage containing most diploid parthenogenetic haplotypes and the haplotype from the sexual Artemia sp. from Kazakhstan. The rest of the sexual haplotypes from Kazakhstan and most of the parthenogenetic strains were closely related and formed a relatively well-supported group. The sister group to this branch contained A. urmiana, and two haplotypes from the diploid parthenogenetic Bulgarian population (ATA). Artemia tibetiana isolates formed a paraphyletic assemblage with respect to the above three lineages.

Figure 4. Phylogenetic relationships between diploid Artemia parthenogenetica (A. parthenogenetica in the tree) and its sexual relatives A. urmiana, A. tibetiana, and Artemia sp. from Kazakhstan using COI sequences.

The topology inferred by Maximum Likelihood (ML) is shown. The Neighbor-Joining (NJ) tree showed a very similar topology. The percentage of replicate trees in which the associated taxa clustered together in a bootstrap test (1000 pseudo-replicates) is shown above (ML) and below (NJ) the branches. The sexual A. franciscana and A. sinica are used as outgroups. The schematic line drawing next to the ML tree represents a parthenogenetic Artemia female.


Our results show that diploid Artemia parthenogenetica has an extremely low level of mtDNA diversity across most of its known distribution range. The closest sexual relatives of this parthenogenetic lineage are found in Central Asia (Kazakhstan). A published sequence of a sexual strain from Kazakhstan [30] has a virtually identical COI haplotype to the commonest A. parthenogenetica one. We found another sexual population from Kazakhstan that was closely related to diploid parthenogens, and A. urmiana to be clearly more closely related to diploid parthenogens than A. tibetiana. A second rare parthenogenetic lineage was found in a single Bulgarian population and it was most closely related to A. urmiana.

Geographic origin of parthenogenesis and putative ancestors

Although a previous hypothesis on the geographic origin of parthenogenesis in Artemia, based on allozyme data, proposed that the parthenogenetic lineage appeared in the Mediterranean Basin between 3 and 6 Myr ago [25], coinciding with the Messinian salinity crisis (around 6 My ago [32]), more recent data challenge this hypothesis. Baxevanis et al. [26] found different parthenogenetic Artemia lineages to be polyphyletic, with some of them more closely related to A. sinica and pointing out three other origins of parthenogenesis, all related to a group of Central Asian Artemia species (i.e. A. urmiana, A. sinica, and A. tibetiana). However, their analyses included both diploid and polyploid parthenogenetic Artemia isolates. In addition, the genetic variation found on nuclear and mtDNA markers (ITS1 and 16S) that they used was insufficient to discriminate between different hypotheses on the evolution of parthenogenesis. Therefore, they could not resolve the relationships between diploid parthenogenetic lineages and the group of sexual Central Asian species. Our present phylogenetic and phylogeographic analyses, which, unlike previous evolutionary studies on Artemia, include all known sexual taxa from Central Asia (i.e. A. urmiana, A. tibetiana, A. sinica, undescribed Artemia sp. from Kazakhstan, and Artemia sp. from Tibet), show that diploid A. parthenogenetica haplotypes from Eurasian, African and Australian populations are most closely related to two sexual species (i.e. Artemia sp. from Kazakhstan, and A. urmiana). Our results present more details on genetic relationships than previous studies [16], [26]. The close relationship between sexual Artemia sp. haplotypes from Kazakhstan and parthenogenetic haplotypes (see Table 1; see also Figure 3 and Figure 4) suggests that this undescribed sexual species is likely to be an ancestor to diploid A. parthenogenetica unrevealed to date. In addition, the close relationships between parthenogens, the sexual species from Kazakhstan and A. urmiana indicate, from a biogeographic perspective, that diploid A. parthenogenetica originated within a region of Central Asia around Iran and Kazakhstan. The lack of suitable calibrations precludes the use of molecular clocks in our study, but our findings suggest that the evolutionary origin of diploid parthenogenetic lineages is recent, probably within the Holocene. The diploid parthenogenetic lineages are usually involved in the origin of the polyploid parthenogenetic strains in animals [19], and this also appears to be the case in Artemia (the polyploid lineages appear to have arisen through autopolyploidy from the diploid ones [33]). Our results point to at least two recent origins of diploid parthenogenesis in Artemia, but when considering polyploid parthenogenetic lineages, parthenogenesis might have more than two independent origins (see [26]). Our dataset, however, is entirely consistent with a single origin of diploid parthenogenesis, which then spreads through introgression with different maternal lineages.

Artemia parthenogenetica range expansion

Taken together, the extremely low genetic diversity, the close relationships between mtDNA haplotypes, and the results from mismatch distribution analysis for A. parthenogenetica indicate that this widespread anostracan underwent a rapid population expansion soon after its recent origin, likely associated with an expansion of suitable geographic range. If we assume a geographic origin in Central Asia, a process of rapid recent expansion from this area towards the Mediterranean region, and probably Australia, would explain the phylogeographic pattern observed on its populations. Overall, our results are similar to those reported in Daphnia species with obligate parthenogenetic reproduction mode, for which some young clonal lineages are very widely distributed [17], [18]. Indeed, the phylogeographic patterns of A. parthenogenetica starkly contrast with those for sexual anostracans [16], [34], whose populations are extremely subdivided, displaying a large degree of regional and local endemism. This is also apparent from the few samples of sexual Central Asian species included in this study, which show quite restricted geographic distributions (see Figure 4), but much higher diversity levels.

Given that both sexual and parthenogenetic anostracans have a similar potential to be dispersed via waterbirds [35], the contrasting phylogeographic scenario presented here could indicate that parthenogenesis provides a crucial advantage for a rapid spread of diapausing aquatic parthenogenetic organisms, particularly taking into account the low natural propagules pressures in these organisms [36]. Several studies suggest that, in passively dispersed aquatic invertebrates, parthenogens are indeed better and faster colonizers than their sexual relatives [17], [20], [36], [37]. The wide distribution of diploid A. parthenogenetica throughout Eurasia, Africa and Australia, the reduced genetic diversity found, and the evidence of a rapid population expansion, could be explained by a high colonization and establishment capacity after its origin, in comparison to their sexual relatives. This represents a similar pattern to the so-called ‘geographic parthenogenesis’ (i.e. distinct geographic distribution of parthenogenetic organisms and their sexual relatives; [38]) reported for other parthenogenetic species.

A colonisation advantage alone is not sufficient to explain the wide geographic distribution of parthenogenetic lineages, as habitat availability or a metapopulation structure conducive to frequent extinctions/recolonisations is also needed [2], [3]. In many cases, new habitats were made available for parthenogenetic lineages due to climatic changes (e.g. Daphnia pulex, [17]) or through human-mediated extra-range inoculations [18]. In the case of Artemia parthenogenetica, a pattern of natural postglacial colonisation could be a possibility. However, there is evidence that the sexual species A. salina survived glaciations in multiple Pleistocene refugia around the Mediterranean, suggesting that coastal hypersaline ponds persisted as available habitat throughout glacial maxima [16]. An alternative explanation could be that new suitable habitat for A. parthenogenetica was made available historically - at least since Phoenician times - through human activities to improve salt production in coastal wetlands. Indeed, one of the main habitats for Artemia are saltworks (i.e. artificial or natural saltpans managed by humans, at least for the last two millennia [39]). These habitats differ from natural hypersaline lakes in their carefully managed artificial salinity gradients in interconnected ponds, often fed from seawater, which creates high ecological similarities between them, as opposed to the widely different ionic composition and environmental regimes of natural Artemia habitats (see [40] and references therein). Although, under experimental conditions, diploid parthenogenetic Artemia are able to colonize habitats already occupied by the sexual sympatric A. salina and to displace them [41], [42], the ecological relationships between diploid A. parthenogenetica and their sexual relatives are poorly known. Indeed, differential spatial distribution suggestive of different ecological requirements of A. parthenogenetica and A. urmiana in and around Lake Urmia has been reported [43].

Although human management does not appear to have shaped the population structure in A. salina [16], our results are consistent with the role for humans in facilitating the spread of diploid A. parthenogenetica by creating new suitable coastal saltworks with rather homogeneous conditions. In this new setting, diploid A. parthenogenetica would have largely reached its current distribution assisted by natural dispersal through migratory waterbirds [24], [35]. On the other hand, recent artificial inoculation has been suggested as a possible way by which diploid parthenogens reached Australia [24] and, since it is thought that Artemia increases salt precipitation in salt works [39], a role for historical deliberate introduction cannot be ruled out. Finally, a more exhaustive sampling of Artemia within the vast and relatively unexplored Central Asian region would be desirable. The patchy and shallow knowledge of Artemia species (e.g. the unknown level of ploidy from many parthenogenetic strains not included in this study and the uncertainty on the distribution of A. urmiana [44]), and the difficulties in obtaining samples from Central Asia limit any large-scale study like ours. Our sampling design and results indicate that more precise inspection and research from Central Asian populations might lead to a better understanding of the details of the origin of parthenogenesis, population range expansion, and geographic speciation in Artemia, and would provide further information on evolutionary aspects of this passively dispersed aquatic invertebrate.

In conclusion, our results indicate that diploid Artemia parthenogenetica populations show very low mtDNA genetic diversity throughout most of their distribution range, with one widespread common haplotype and a few highly related haplotypes. Our phylogenetic and phylogeographic analyses suggest a very recent Central Asian origin of parthenogenesis in Artemia, with the closest sexual relatives being from Kazakhstan and Iran. Our findings also indicate a rapid range expansion of diploid parthenogenetic populations towards the Mediterranean region and probably to the rest of their current distribution.

Materials and Methods

Samples and study area

Samples from 12 parthenogenetic populations were collected from several Southern European countries, Central-East Asia (Ukraine and Kazakhstan), and Southern Africa (Namibia) (see Table 3 and Figure 2). All sampled sites were isolated hydrologically. In six sites, samples were collected in the field (adults or cysts), whilst at one site cysts were extracted from bird excreta collected ‘in situ’. All cysts were subsequently hatched and nauplii reared in the laboratory to adulthood to assess their reproductive mode through population sex ratio, using more than 2000 cysts per population (F. Amat, unpublished data; see also [28], [45]), and their ploidy using morphometric methods (for culture conditions and other details see [45], [46]). Populations were identified as diploid parthenogenetic following morphometric analyses, a reliable indicator of diploidy [28]. Adult specimens were then preserved in absolute ethanol until DNA extraction. The remaining samples (see Table 3) were obtained from the IATS (Instituto de Acuicultura Torre de la Sal, Castellón, Spain) cyst collection as dried cysts, which had been previously identified as diploid A. parthenogenetica (F. Amat, unpublished data). Previous cytogenetic analysis confirmed the diploid character (2n = 42, the same level of ploidy as the Asian sexual species) of the Namibia (NAM) population [47].

Table 3. Populations of diploid Artemia parthenogenetica analysed in the present study.

In addition, one undescribed sexual Artemia population from Kazakhstan (Artemia Research Center code - ARC 1039, unknown locality) was analysed to increase the sampling of potential closest sexual relatives of A. parthenogenetica.

Published COI sequences from three sexual Central Asian species Artemia sp. KAZ, DQ119653; A. urmiana, DQ119651; and A. tibetiana, EF615584–90), and two parthenogenetic sequences from Australia (AY953368 and AY953369) were downloaded from GenBank. Sequences from A. sinica (DQ119650) and A. franciscana Kellogg, 1906 (DQ119645), the closest sexual relatives to sexual Central Asian species [16], [26], were used as outgroups in our phylogenetic analyses.

DNA isolation, polymerase chain reaction, and sequencing

Total DNA was isolated from adult specimens using a modification of the CTAB protocol published by Palumbi [48] and Bossier et al. [49] with Proteinase K pre-treatment as well as RNAse post-treatment to remove the high amount of RNA observed in all samples. DNA from individual cysts was extracted using a HotSHOT protocol optimized for zooplanktonic diapausing eggs [50].

We used specific Artemia primers designed in the same position as primers LCO1490/HCO2198 [51] to amplify part of the COI mitochondrial gene (1/2COI_Fol-F: 5′-ATTCTACGAATCACAAGGATATTGG-3′, and 1/2COI_Fol-R: 5′-TACACTTCAGGATGGCCAAAAAATCA-3′; see [16] for details). PCR amplification was carried out under the following conditions: a cycle of 3 min at 94°C, followed by 35 cycles of 45 s at 94°C, 60 s at 45°C, and 60 s at 72°C, with a final step of 5 min at 72°C. PCR products were purified with MONTAGE-PCR columns (Millipore, Corp.) and sequenced in both directions using the BigDye Terminator Sequencing Ready Reaction v3.1 kit (Applied Biosystems), following manufacturer instructions, on an ABI 3130× l automated sequencer. Nucleotide sequences were edited by hand and aligned using Sequencher™ v4.5 software (Gene Codes Corp.). All polymorphic sites were manually rechecked. All new haplotypes found were deposited in GenBank (Accession Numbers DQ426824-DQ426826 and GU591380-GU591389; see Table 1).

Data analyses

Standard diversity parameters (haplotype, H, and nucleotide, π, diversity), and mismatch distribution were calculated for the whole parthenogen dataset treated as a unique population (except the two shorter Australian haplotypes from GenBank and the two haplotypes from ATA related to A. urmiana), using Arlequin v. 2.0 [31]. Mismatch distribution analysis describes the distribution of pairwise nucleotide differences among haplotypes based on a model of sudden population expansion [52], [53]. The validity of the estimated mismatch parameters is tested using a Sum of Square deviations (SSD) test of goodness of fit, comparing observed and expected mismatch distributions. We calculated 95% confidence intervals with 1000 replicates using Arlequin's parametric bootstrap approach.

TCS ver. 1.21 [54] was used to reconstruct the genealogical relationships amongst haplotypes and detect any phylogeographic signature under Statistical Parsimony [55] with a confidential interval of 95%.

The evolutionary relationships of the parthenogens and their closest Central Asian sexual relatives were reconstructed using A. sinica and A. franciscana as outgroups. In order to include all available sequences, the COI haplotype alignment was trimmed to 478 base pairs (bp) for all sequences prior to phylogenetic analyses. We used two approaches. First, Neighbor-Joining (NJ) trees were reconstructed using evolutionary distances computed with the Maximum Composite Likelihood method in MEGA4.0 [56]. The robustness of the branches was assessed with 1000 bootstrap pseudo-replicates. MEGA 4.0 was also used to compute the net average sequence divergence between Artemia lineages. Secondly, we estimated the best-scoring Maximum Likelihood (ML) tree using a general time reversible model (GTR-GAMMA) of sequence evolution with 1000 bootstrap replicates computed by RAxML-VI-HPC v. 7.0.4 [57], [58] using the CIPRES portal at the San Diego Supercomputer Center (


We are grateful to F. Hortas, M.I. Sánchez and H. Rodríguez for assistance in collecting samples. We thank F. Pacios for assistance with geographical data and the map of populations, G. Van Stappen and C. Mahieu for kindly providing information on the sexual Kazakhstan isolates, and D.H. Lunt for assistance with phylogenetic analyses. J. Mergeay, J. Montero-Pau, I. Gómez-Mestre, D.H. Lunt and four anonymous reviewers provided constructive criticism of earlier versions of this manuscript.

Author Contributions

Conceived and designed the experiments: JM AJG JF CR. Performed the experiments: JM. Analyzed the data: JM AG. Contributed reagents/materials/analysis tools: AJG FA. Wrote the paper: JM AG.


  1. 1. Johnson SG (2006) Geographic ranges, population structure, and ages of sexual and parthenogenetic snail lineages. Evolution 60(7): 1417–1426.
  2. 2. Haag CR, Ebert D (2004) A new hypothesis to explain geographic parthenogenesis. Ann Zool Fenn 41: 539–544.
  3. 3. Kearney MR (2003) Why is sex so unpopular in the Australian desert? Trends Ecol Evolution 18(12): 605–607.
  4. 4. Kearney M, Blacket MJ, Strasburg JL, Moritz C (2006) Waves of parthenogenesis in the desert: evidence for the parallel loss of sex in a grasshopper and a gecko from Australia. Mol Ecol 15: 1743–1748.
  5. 5. Neiman M, Meirmans S, Merimans P (2009) What can asexual lineage age tell us about the maintenance of sex? Ann NY Acad Sci 1168: 185–200.
  6. 6. Zierold T, Montero-Pau J, Hanfling B, Gómez A (2009) Sex ratio, reproductive mode and genetic diversity in Triops cancriformis. Freshw Biol 54: 1392–1405.
  7. 7. Hairston NG (1996) Zooplankton egg banks as biotic reservoirs in changing environments. Limnol Oceanogr 41: 1087–1092.
  8. 8. Cáceres CE (1997) Temporal variation, dormancy, and coexistence: a field test of the storage effect. Proc Natl Acad Sci U S A 94(17): 9171–9175.
  9. 9. Nunes BS, Carvalho FD, Guilhermino LM, Van Stappen G (2006) Use of the genus Artemia in ecotoxicity testing. Environ Pollut 144: 453–462.
  10. 10. Van Stappen G (2008) Artemia biodiversity in Central and Eastern Asia. PhD thesis. ISBN-number:978-90-5989-228-6.
  11. 11. Green AJ, Figuerola J (2005) Recent advances in the study of long-distance dispersal of aquatic invertebrates via birds. Divers Distrib 11: 149–156.
  12. 12. De Gelas K, De Meester L (2005) Phylogeography of Daphnia magna in Europe. Mol Ecol 14: 753–764.
  13. 13. Gómez A, Montero-Pau J, Lunt DH, Serra M, Campillo S (2007) Persistent genetic signatures of colonization in Brachionus manjavacas rotifers in the Iberian Peninsula. Mol Ecol 16: 3228–3240.
  14. 14. Mills S, Lunt DH, Gómez A (2007) Global isolation by distance despite strong regional phylogeography in a small metazoan. BMC Evol Biol 7: 225.
  15. 15. Zierold T, Hanfling B, Gómez A (2007) Recent evolution of alternative reproductive modes in the ‘living fossil’ Triops cancriformis. BMC Evol Biol 7: 161.
  16. 16. Muñoz J, Gómez A, Green AJ, Figuerola J, Amat F, et al. (2008) Phylogeography and local endemism of the native Mediterranean brine shrimp Artemia salina (Branchiopoda: Anostraca). Mol Ecol 17: 3160–3177.
  17. 17. Weider LJ, Hobaek A, Colbourne JK, Crease TJ, Dufresne F, et al. (1999) Holarctic phylogeography of an asexual species complex I. Mitochondrial DNA variation in arctic Daphnia. Evolution 53: 777–792.
  18. 18. Mergeay J, Verschuren D, De Meester L (2006) Invasion of an asexual American water flea clone throughout Africa and rapid displacement of a native sibling species. Proc R Soc Lond, Ser B: Biol Sci 273: 2839–2844.
  19. 19. Beaton MJ, Hebert PDN (1988) Geographical parthenogenesis and polyploidy in Daphnia pulex. Am Nat 132(6): 837–845.
  20. 20. Schön I (2007) Did Pleistocene glaciations shape genetic patterns of European ostracods? A phylogeographic analysis of two species with asexual reproduction. Hydrobiologia 575: 33–50.
  21. 21. Van Stappen G (2002) Zoogeography,. In: Abatzopoulos ThJ, Beardmore JA, Clegg JS, Sorgeloos P, editors. Kluwer Academic Publishers, Dordrecht, The Netherlands. pp. 171–224. Biology of Aquatic Organisms. Artemia∷Basic and Applied Biology.
  22. 22. Abatzopoulos TJ, Beardmore JA, Clegg JS, Sorgeloos P (2002a) Artemia: Basic and Applied Biology. Kluwer Academis Publishers, Dordrecht, The Netherlands.
  23. 23. Gajardo G, Abatzopoulos TJ, Kappas I, Beardmore JA (2002) Evolution and speciation. In: Abatzopoulos ThJ, Beardmore JA, Clegg JS, Sorgeloos P, editors. Kluwer Academic Publishers, Dordrecht, The Netherlands. pp. 225–250. Biology of Aquatic Organisms. Artemia∷Basic and Applied Biology.
  24. 24. McMaster K, Savage A, Finston T, Johnson MS, Knott B (2007) The recent spread of Artemia parthenogenetica in Western Australia. Hydrobiologia 576: 39–48.
  25. 25. Abreu-Grobois FA (1987) A review of the genetics of Artemia. In: Sogerloos P, Bengtson DA, Decleir W, Jaspers E, editors. Artemia research and its applications. Morphology, genetics, strain characterization, toxicology. 1. Wetteren, Belgium: Universa Press.
  26. 26. Baxevanis AD, Kappas I, Abatzopoulos TJ (2006) Molecular phylogenetics and asexuality in the brine shrimp Artemia. Mol Phyl Evol 40: 724–738.
  27. 27. Kappas I, Baxevanis AD, Maniatsi S, Abatzopoulos TJ (2009) Porous genomes and species integrity in the branchiopod Artemia. Mol Phyl Evol 52(1): 192–204.
  28. 28. Mura G, Baxevanis AD, Medina-López G, Hontoria F, Kappas I, et al. (2005) The use of a multidisciplinary approach for the characterization of a diploid parthenogenetic Artemia population from Torre Colimena (Apulia, Italy). J Plankton Res 27(9): 895–907.
  29. 29. Pilla EJS, Beardmore JA (1994) Genetic and morphometric differentiation in Old World bisexual species of Artemia (the brine shrimp). Heredity 73: 47–56.
  30. 30. Hou L, Bi X, Zou X, He C, Yang L, et al. (2006) Molecular systematics of bisexual Artemia populations. Aquacul Res 37: 671–680.
  31. 31. Schneider S, Roessli D, Excoffier L (2000) Arlequin: A software for population genetics data analysis. Ver 2.000. Genetics and Biometry Lab, Dept. of Anthropology, University of Geneva. Available on the WWWeb site
  32. 32. Krijgsman W, Hilgen FJ, Raffi I, Sierro FJ, Wilson DS (1999) Chronology, causes and progression of the Messinian salinity crisis. Nature 400: 652–655.
  33. 33. Zhang L, King CE (1992) Genetic variation in sympatric populations of diploid and polyploid brine shrimp (Artemia parthenogenetica). Genetica 85: 211–221.
  34. 34. Ketmaier V, Pirollo D, De Matthaeis E, Tiedemann R, Mura G (2008) Large-scale mitochondrial phylogeography in the halophilic fairy shrimp Phallocryptus spinosa (Milne-Edwards, 1840) (Branchiopoda: Anostraca). Aquat Sci 70: 65–76.
  35. 35. Sánchez MI, Green AJ, Amat F, Castellanos EM (2007) Transport of brine shrimps via the digestive system of migratory waders: dispersal probabilities depend on diet and season. Mar Biol 151: 1407–1415.
  36. 36. Law JH, Crespi BJ (2002) The evolution of geographic parthenogenesis in Timema walking-sticks. Mol Ecol 11: 1417–1489.
  37. 37. Chaplin JA, Ayre DJ (1997) Genetic evidence of widespread dispersal in a parthenogenetic freshwater ostracod. Heredity 78: 57–67.
  38. 38. Kearney M (2005) Hybridization, glaciation and geographical parthenogenesis. TREE 20(9): 495–502.
  39. 39. Kurlansky M (2003) Salt: a World History. Vintage, London. Cultural studies. ISBN∷ 009281996.
  40. 40. Abatzopoulos TJ, Kappas I, Bossier P, Sorgeloos P, Beardmore JA (2002b) Genetic characterization of Artemia tibetiana (Crustacea: Anostraca). Biol J Linn Soc 75: 333–344.
  41. 41. Browne RA, Hoopes CW (1990) Genotype diversity and selection in asexual brine shrimp (Artemia). Evolution 44(4): 1035–1051.
  42. 42. Barata C, Hontoria F, Amat F, Browne R (1996) Competition between sexual and parthenogenetic Artemia: temperature and strain effects. J Exp Mar Biol Ecol 196: 313–328.
  43. 43. Agh N, Abatzopoulos TJ, Kappas I, Stappen G, Rouhani SMR, et al. (2007) Coexistence of sexual and parthenogenetic Artemia populations in Lake Urmia and neighbouring Lagoons. Int Rev Hydrobiol 92(1): 48–60.
  44. 44. Abatzopoulos TJ, Amat F, Baxevanis AD, Belmonte G, Hontoria F, et al. (2009) Updating geographic distribution of Artemia urmiana GÜNTHER, 1890 (Branchiopoda: Anostraca) in Europe: An integrated and interdisciplinary approach. Internat Rev Hydrobiol 94(5): 560–579.
  45. 45. Hontoria F, Amat F (1992) Morphological characterization of adult Artemia (Crustacea, Branchiopoda) from different geographical origin. Mediterranean populations. J Plankton Res 14(7): 949–959.
  46. 46. Amat F (1980) Differentiation in Artemia strains from Spain. In: Persoone G, Sorgeloos P, Roels O, Jaspers E, editors. The brine shrimp Artemia. Morphology, Genetics, Radiobiology, Toxicology. 1. Wetteren, Belgium: Universa Press. pp. 19–39.
  47. 47. Triantaphyllidis GV, Abatzopoulos TH, Miasa E, Sorgeloos P (1996) International study on Artemia. LVI. Characterization of two Artemia populations from Namibia and Madagascar: cytogenetics, biometry, hatching characteristics and fatty acid profiles. Hydrobiologia 335: 97–106.
  48. 48. Palumbi SR (1996) Nucleic acids II: the polymerase chain reaction,. In: Hillis DM, Moritz C, Mable BK, editors. Molecular Systematics. Sunderland, MA: Sinauer Associates. pp. 205–247.
  49. 49. Bossier P, Xiaomeia W, Catania F, Domos S, Van Stappen G, et al. (2004) An RFLP database for authentication of commercial cyst samples of the brine shrimp Artemia spp. (International Study on Artemia LXX). Aquaculture 231: 93–112.
  50. 50. Montero-Pau J, Gómez A, Muñoz J (2008) Application of an inexpensive and high-throughput genomic DNA extraction method for the molecular ecology of zooplanktonic diapausing eggs. Limnol Oceanogr Methods 6: 218–222.
  51. 51. Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R (1994) DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Mol Mar Biol Biotechnol 3: 294–299.
  52. 52. Harpending HC, Batzer MA, Gurvens M, Jorde LB, Rogers AR, et al. (1998) Genetic traces of ancient demography. TREE 95: 1961–1967.
  53. 53. Schneider S, Excoffier L (1999) Estimation of past demographic parameters from the distribution of pairwise differences when the mutation rates vary among sites: application to human mitochondrial DNA. Genetics 152: 1079–1089.
  54. 54. Clement M, Posada D, Crandall K (2000) TCS: a computer program to estimate gene genealogies. Mol Ecol 9(10): 1657–1660.
  55. 55. Templeton AR, Crandall KA, Sing CF (1992) A cladistic analysis of phenotypic associations with haplotypes inferred from restriction endonuclease mapping and DNA sequence data. III. Cladogram estimation. Genetics 132: 619–633.
  56. 56. Tamura K, Dudley J, Nei M, Kumar S (2007) MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0. Mol Biol Evol 24(8): 1596–1599.
  57. 57. Stamatakis A (2006) RAxML-VI-HPC: Maximum Likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22(21): 2688–2690.
  58. 58. Stamatakis A, Hoover P, Rougemont J (2008) A rapid bootstrap algorithm for the RAxML Web Servers. Syst Biol 57(5): 758–771.