The long-term consequences of hybridization between the two Daphnia species, D. galeata and D. dentifera, in mature habitats
© Ishida et al; licensee BioMed Central Ltd. 2011
Received: 26 January 2011
Accepted: 15 July 2011
Published: 15 July 2011
Ecological specializations such as antipredator defense can reinforce morphological and distributional divergence within hybridizing species. Two hybridizing species of Daphnia (D. galeata and D. dentifera) are distributed in both Japan and North America; however, these populations have a longer history in Japan than in North America due to the differing impact of the last glaciation on these two regions. We tested the hypothesis that this longer coexistence in Japan would lead to extensive genetic admixture in nuclear and mitochondrial DNA whilst the distinct morphological traits and distributional patterns would be maintained.
The high level of correspondence among morphological traits, distribution, and mitochondrial and nuclear DNA types for the specimens with D. dentifera mtDNA indicated that the species distinction has been maintained. However, a discordance between mtDNA and nuclear ITS-1 types was observed for most specimens that had D. galeata mtDNA, consistent with the pattern seen between the two species in North America. This observation suggests nuclear introgression from D. dentifera into D. galeata without mitochondrial introgression.
The separation of morphological traits and distribution ranges of the two hybridizing species in Japan, as well as in North America, has been maintained, despite large differences in climatic and geographical histories of these two regions. Variations in environmental factors, such as predation pressure, might affect maintenance of the distribution, although the further studies are needed to confirm this.
The factors that determine the range and distribution patterns of a species along latitudinal and altitudinal gradients have gained significant interest with the recognition that global warming has the potential to cause shifts in these patterns and change interactions among species [1–3]. The range and distribution pattern of a species can be limited by geographical barriers, interactions with other species, or failure to adapt at range margins because of lack of genetic variation, dispersal load, or stochastic extinction [4, 5]. When the distribution patterns of two or more closely related species overlap, these species may hybridize and produce hybrid zones, which can affect species distribution . The consequences of hybridization on the distribution patterns depend on various environmental and genetic factors, including environmental selection, dispersal ability, asymmetric hybridization, and fitness of hybrid offspring . It is important to consider how these factors affect the range and distribution patterns of species under the effect of frequent hybridization.
There are several morphological differences between D. galeata and D. dentifera, including a dark ring on the base of the distal segment of the swimming setae present in D. dentifera and variations in the number of post-abdominal claws . The differences in phenotypic adaptations as an antipredator defense are conspicuous. Since carnivorous invertebrates (e.g., Chaoborus midge larvae, Leptodora, Bythotreps, Cyclops) and gape-limited young-of-the-year (YOY) fish selectively prey upon daphniids with a smaller body size, individuals with a larger body size or with other defensive attributes are less vulnerable to these predators. In response to chemical cues from these predators, D. galeata often elongates its head shape and forms a crest [24–29], whereas juveniles and male D. dentifera occasionally develop neck teeth on the dorsal margin of the helmet . Both defensive traits of the crest and neck teeth are beneficial against these gape-limited predators [30, 31]. However, planktivorous fish, with the exception of gape-limited fish, selectively prey upon daphniids with a larger body size . Gelinas et al.  noted that the number of D. galeata possessing a crest increased during and after the season when YOY fish occurred, indicating that the head morphology of D. galeata is influenced at least in some ways by the presence of planktivorous fish in these habitats. D. galeata and D. dentifera are also ecologically distinct in the range of vertical habitat use within lakes and habitat distribution among lakes of different sizes . Because these two species and their hybrids exhibit a stable co-existence in many lakes in North America, ecological specialization may reinforce the divergence within these two species .
Recent phylogeographical studies indicated that D. galeata and D. dentifera should have a longer history of coexistence in Japan than in North America [21, 33]. During the last Ice Age, an ice sheet covered the northern regions of North America . Ishida and Taylor [21, 33] estimated that D. galeata and D. dentifera should have expanded their ranges throughout North America after the last deglaciation. On the other hand, Japan was mostly unglaciated and unoccupied by permafrost during the last Ice Age . Japan should have functioned as a glacial refugium for temperate freshwater invertebrates during several glacial cycles. Indeed, one of the oldest mitochondrial clades of D. galeata was distributed only throughout Japan. Japanese populations of D. dentifera also have much a higher genetic diversity and a stronger regional structure than North American populations, indicating that Japan has provided mature habitats for the species. Consistently, recent phylogeographical studies have also indicated that Japan should be rich in regional population structures and endemic cryptic species of freshwater invertebrates [36–39].
A survey of the distribution, morphological variation, and hybridization of D. galeata and D. dentifera in Japan would provide an opportunity to test important hypotheses regarding hybridization and morphological evolution. These two species can be taxonomically distinguished by certain morphological characteristics in both Japan and North America. However, since in Japan the two species experienced different climate histories than they did in North America, and since they have a longer history of coexistence there, we hypothesised that this longer coexistence of the two species would lead to extensive genetic admixture, whereas differences in morphological traits related to ecological specialization such as an antipredation defense would be maintained. In addition, it is important to examine the environmental factors that affect the distribution and maintenance of morphological traits that characterize D. galeata and D. dentifera since this would help to predict the distribution and biodiversity of Daphnia species under current and future environmental changes such as global warming.
The purpose of this study is to test our hypothesis regarding the consequences of the hybridization between D. galeata and D. dentifera in Japan. We used 66 populations of D. galeata and D. dentifera distributed throughout Japan, and analyzed the relationships among geographic distribution patterns, morphological traits of head shape and body size, and genetic characteristics of mitochondrial 12SrRNA and nuclear rRNA internal transcribed spacers (ITS-1 and ITS-2). In particular, we examined (1) to what degree the morphological traits and the mitochondrial and nuclear characteristics are correlated, how these traits and characteristics are distributed in Japan; and (2) to what degree introgression occurred between these species.
Relationship among mitochondrial genealogy, morphology, and geographic distributions
We identified a significant positive correlation between CL1 and CL2 of both groups of specimens (specimens with D. galeata mtDNA: r = 0.4244, P < 0.0064; specimens with D. dentifera mtDNA: r = 0.6759, P < 0.0001; Figure 4A), and a significant negative correlation between BL and CL2 of specimens with D. galeata mtDNA (r = -0.571, P < 0.0002) [see Additional file 3].
Differences in geographical distribution were also observed between the two groups of specimens (Figure 3). Specimens with D. galeata mtDNA were distributed at lower latitudes and altitudes, whereas those with D. dentifera mtDNA were predominately distributed at higher latitudes and altitudes (Figure 3B). Fish were present at 19 collecting sites where specimens with D. galeata mtDNA occurred, and 18 sites where specimens with D. dentifera mtDNA occurred, whereas fish were absent in only one site (Myg31) where specimens with D. galeata mtDNA occurred and 27 sites where specimens with D. dentifera mtDNA occurred. Groups with both mtDNA types coexisted in two lakes: Hkd52 and Ygt27. The results of model selection using GLM showed that the presence of specimens with D. galeata mtDNA at the collecting site was best explained by the 3 parameters of latitude (L), altitude (A), and fish presence (F) (best model, L + A + F, AIC = 54.33; second model, L + F, AIC = 55.60; third model, L + A, AIC = 56.922), and that the presence of specimens with D. dentifera mtDNA was also best explained by latitude (L), altitude (A), and fish absence (F) (best model, L + A + F, AIC = 50.98; second model, L + A, AIC = 51.021; third model, L + F, AIC = 52.671). In the cases of both mtDNA types, if we used only one variable (i.e., any of L, A or F), ΔAIC (difference from the best model) values were larger than 10. Thus, it can be reasonably concluded that latitude, altitude, and the presence or absence of fishes affects the distribution of D. galeata and D. dentifera mtDNA types.
Effects of environmental factors on species morphology and distribution
MANOVA tests were performed with identification of mtDNA type (D. galeata or D. dentifera mtDNA) based on 12SrRNA phylogeny and morphological traits of BL, CL1, and CL2 as the dependent variables, and latitude, altitude, and the presence or absence of fish as the independent variables. The results indicated that the latitude and the presence or absence of fish affected morphology (i.e., BL, CL1, and CL2) and mtDNA types (fish: Wilks' λ = 0.592, F4,74 = 12.72, P = 6.30 × 10-8; latitude: Wilks' λ = 0.857, F4,74 = 3.09, P = 0.021; altitude: Wilks' λ = 0.990, F4,74 = 0.178, P = 0.95). Among the four dependent variables, CL1, CL2 and mtDNA types were affected by fish and latitude, and BL was affected only by fish (effect of fish on mtDNA types: F1,77 = 51.83, P = 3.43 × 10-10; effect of latitude on mtDNA types: F1,77 = 8.34, P = 0.005; effect of fish on CL1: F1,77 = 25.084, P = 3.40 × 10-6; effect of latitude on CL1: F1,78 = 4.978, P = 0.028; effect of fish on CL2: F1,77 = 29.918, P = 5.40 × 10-7; effect of latitude on CL2: F1,78 = 11.990, P < 0.0009; effect of fish on BL: F1,77 = 4.263, P = 0.043)(Figure 4 B, C and 4D).
Nuclear ITS-1 phylogeny
Recombination test supported the breakpoint at position 192. We compared a phylogeny based on positions 1 to 192 with one based on positions 193 to 675. A sequence of an individual obtained from Amr39 was found in lineage G4 (D. galeata clade, Figure 6) based on positions 1 to 192, but matched the D. dentifera clade in the phylogeny based on positions 193 to 675, indicating a recombination event between the D. dentifera clade and lineage G4. None of the other sequences was found to be recombinant.
The D. galeata clade consisted of three lineages: G1, G2, and G3. Lineage G1 consisted of European D. galeata and Japanese specimens with D. galeata mtDNA. Lineage G2 consisted of Alaskan D. galeata. Lineage G3 consisted of specimens with D. dentifera mtDNA in Hokkaido Island and Aomori Prefecture, which are the northernmost areas of Japan.
The phylogenetic relationship within the D. dentifera clade was not well characterized by bootstrap tests and clade credibility values, with the exception of lineage D4. Alleles D1, D2, and D3 were shared between specimens with D. galeata mtDNA and those with D. dentifera mtDNA. Linage D4 consisted of North American D. dentifera and D. galeata and specimens with D. galeata mtDNA in Tcg16. All specimens possessing D. galeata mtDNA had alleles of the D. dentifera clade, except for those of lineage G1 (Figure 3C), while all specimens possessing D. dentifera mtDNA had alleles of the D. dentifera clade or lineage G3.
Nuclear ITS-2 RFLP and phylogeny
Five major RFLP patterns (C1, C1+C2, C2, C2+B, and B) were found in the collected specimens of D. galeata and D. dentifera in Japan. In addition, five minor patterns were found in specimens with D. galeata mtDNA in Hyg5, Fsm25, and Myg29, and specimens with D. dentifera mtDNA in Amr43 and Ngn9 [see Additional file 4].
We reconstructed ITS-2 phylogeny based on sequence data of the major RFLP patterns from the collected specimens in Japan with sequence data of North American and European specimens deposited in GenBank [see Additional file 5]. The alignment (1111 bp) consisted of 18 sequences from 6 populations possessing D. galeata mtDNA, 24 sequences from 9 populations possessing D. dentifera mtDNA, and 16 GenBank sequences. Sequences of RFLP pattern B consisted of two clades: one clade included D. galeata (i.e., European and North American D. galeata and Japanese specimens with D. galeata mtDNA) and specimens with D. dentifera mtDNA in Ygt27 and Ygt28; the other clade consisted of only Japanese specimens with D. galeata mtDNA. Consistent with the assumption of Taylor et al. , alleles of RFLP pattern B should be indicative of those derived from D. galeata except for the case of Ygt27 and Ygt28. Sequences of RFLP patterns C1 and C2 formed polyphyletic clades. Although sequences of RFLP pattern C1 formed two divergent clades, both of the clades consisted of only specimens with D. dentifera mtDNA, indicating that alleles of RFLP pattern C1 should be indicative of those derived from D. dentifera, again consistent with the assumption of Taylor et al. (2005).
Allele frequency of RFLP pattern C2 was high in both groups of specimens in Japan, while those of RFLP patterns B and C1 were quite different between the two groups: specimens with D. galeata mtDNA (B: 23.4%, C1: 0.8%, C2: 64.5%); specimens with D. dentifera mtDNA (B: 13.4%, C1: 9.4%, C2: 73.5%). Specimens with alleles of RFLP patterns C1 and C2 were broadly distributed, irrespective of the latitudinal and altitudinal gradients in Japan.
Phylogenetic differences in mitochondrial 12SrRNA sequences corresponded, for the most part, with the morphological differences in head shape. Specimens with D. dentifera mtDNA exhibited less morphological variation, and had either no crest or a smaller more ventrally located crest, suggesting that individuals with D. dentifera mtDNA would retain the typical head morphology of D. dentifera. On the other hand, specimens with D. galeata mtDNA exhibited considerably more variation. Whereas most specimens with D. galeata mtDNA had longer and more dorsally located crests, some were indistinguishable from D. dentifera due to a less developed crest. The differences in mtDNA also corresponded to distributional differences; specimens with D. galeata mtDNA were mostly distributed at lower latitudes and altitudes, while specimens with D. dentifera mtDNA were mostly distributed at higher latitudes and altitudes (Figure 3B). The mitochondrial dichotomy between the two Daphnia species corresponded well with morphological and distributional differences in Japan.
Morphological traits and geographical distribution patterns were related to the presence or absence of fish, and to latitude. Specimens with D. dentifera mtDNA, or specimens with no crest or with smaller crests, were distributed in lakes and ponds without fish predators, or located at higher latitudes. In contrast, specimens with D. galeata mtDNA, or specimens with longer and more dorsally located crests, were distributed in lakes and ponds containing fish predators, or located at lower latitudes. Although individuals with larger body size tended to be distributed in lakes and ponds without fish predators, the effect of the presence of fish on head shape was larger than the effect on body size. Habitats located at higher altitudes tend to have fewer fish due to the limited dispersal ability of fish species. They also tend to be lower in temperature, thus regulating the feeding types and activities of predators. Because the differences in defensive strategies between D. dentifera and D. galeata can promote morphological differentiation in head shape, body size, and ecological differentiation in different habitat types , the differences in predation pressures may relate to the parapatric distribution of D. galeata and D. dentifera into latitudinal and altitudinal gradients in Japan. Since the presence of fish can be an important factor in determining the distributions of the two species, the introduction of fish might diminish the occurrence and diversity of D. dentifera in lakes and ponds, particularly those located at higher latitudes. Global warming would also be predicted to reduce the distribution ranges of organisms inhabiting lakes and ponds at higher altitudes, such as D. dentifera in Japan.
The discordance between mtDNA and nuclear ITS-1 phylogenies is indicative of interspecific introgression and hybridization between the two species. Specimens with D. galeata mtDNA in Tcg16 were found unexpectedly in lineage D4 of the D. dentifera ITS-1 clade, which consisted of the alleles of North American D. dentifera and D. galeata, except for the alleles of Tcg16 (Figure 6), indicating that the alleles of lineage D4 may have recently been introduced from North American populations into Tcg16. Likewise, Ishida & Taylor  argued that a mitochondrial haplotype of D. galeata in Tcg16 may have been introduced from North America along with the introduction of certain species of fish, such as Oncorhynchus mykiss and Salvelinus namaycush, which were introduced into Tcg16 in 1877 for commercial and game fishing. Lineage G3 of the D. galeata ITS-1 clade consisted of specimens with D. dentifera mtDNA in the northernmost areas of Japan, and was more diverse than lineages G1 and G2, indicating incomplete lineage sorting or introgression of common ancestral alleles of lineage G3 from D. galeata into D. dentifera in the distant past. Since all analyzed specimens with D. dentifera mtDNA had ITS-1 alleles of the D. dentifera clade or lineage G3, we had no clear evidence for introgression from D. galeata into D. dentifera in Japan. This is consistent with the smaller amount of variation in head morphology of specimens with D. dentifera mtDNA. On the other hand, a discordance between mitochondrial and nuclear phylogeny was frequently observed for specimens with D. galeata mtDNA (Figure 3C and 6). The same pattern was observed between these two species in North America [16, 23, 33].
Nuclear ITS-2 phylogeny also suggested interspecific introgression between the two species. A clade of the alleles of RFLP pattern B (indicative of D. galeata) consisted of D. galeata (i.e., European and North American D. galeata and Japanese specimens with D. galeata mtDNA) and specimens with D. dentifera mtDNA in two neighbouring ponds of Ygt27 and Ygt28, which are c. 600 meters distant. Although the population of Ygt28 possessed only D. dentifera mtDNA, the population of Ygt27 possessed both mtDNA types of D. galeata and D. dentifera, suggesting that hybridization or introgression between the species should occur within the specific region around Ygt27 and Ygt28.
We tested a hypothesis that the long history of coexistence between D. galeata and D. dentifera in Japan has led to extensive genetic admixture in both nuclear and mitochondrial DNA, despite the fact that differences in the morphological traits related to environmental factors, such as predation pressure, have been maintained. In the present study, the correspondence observed among morphology, distribution, and mitochondrial and nuclear DNA types for the specimens with D. dentifera mtDNA suggests that the species distinction has been maintained for D. dentifera. However, discordance between mtDNA and nuclear ITS-1 types was observed for most specimens with D. galeata mtDNA, consistent with the pattern found in North America. This suggests nuclear introgression from D. dentifera into D. galeata without mitochondrial introgression. The results indicate that variations in environmental factors, such as predation pressure and temperature, have maintained the separation of distributional ranges and morphological differences, such as head shape, between the two species. However, we cannot rule out other factors, and further studies are needed to verify the hypothesis that selective pressure has maintained the morphological differences between the two species. We were unable to estimate the frequency of the introgression, and we were thus unable to conclude that the long history of coexistence between D. galeata and D. dentifera in Japan has caused more frequent introgression between the two species than the frequency observed in the same species in North America. However, even though climatic and geographical conditions have differed greatly between North America and Japan, particularly during the ice ages, differences in the morphological traits related to environmental factors, such as predation pressure, have been maintained in both regions. The pattern of introgression was also consistent between the two regions. Since the present study indicated that the presence of fish can be an important factor in determining the distributions of the two species, fish introduction can also diminish the occurrence and diversity of D. dentifera in lakes and ponds, particularly those located at higher latitudes. Global warming would also be likely to reduce the distribution ranges of organisms inhabiting lakes and ponds at high altitude, such as D. dentifera in Japan,
Specimens of D. galeata and D. dentifera were collected from 66 populations (lakes and ponds) in Japan [see Additional file 1]. Distribution of planktivorous fishes in given ponds/lakes was examined by interviews for local peoples, anglers and fishermen, and records in research and historical documents of local towns and villages. The planktivorous fishes we examined were cyprinids such as minnows and crucian carps, salmonid and smelts which are known to prey preferentially Daphnia species among zooplankton (e.g., ). All samples were preserved in absolute ethanol or methanol at 4°C. Mitochondrial phylogeny clearly distinguished clades of D. galeata and D. dentifera [8, 14, 21, 23, 33]. We analyzed mitochondrial 12S sequences of two to four collected specimens from each population, and confirmed that most of populations consisted of either specimens with D. galeata mtDNA or those with D. dentifera mtDNA. Two populations consisted of both specimens with D. galeata mtDNA and with D. dentifera mtDNA. We sequenced 9 to 10 specimens from each of the two populations, and identified mtDNA types of each specimen. Other three populations consisted of specimens of new mitochondrial lineages, which are different from any known lineages of the subgenus Hyalodaphnia. We excluded the populations of the new species lineages from the analyses. Then, we performed the analyses of nuclear phylogeny, RFLP, and morphological traits. First, we compared morphologies between specimens with D. galeata mtDNA and those with D. dentifera mtDNA (see the later section of morphological measurements) to examine to what extent the mtDNA types can be distinguished by morphology. Then, linear discriminant analysis was also performed to quantify whether and to what extent morphologies determine the mtDNA types, with the aid of the statistical software R 2.8.1 (R Development Core Team).
We applied model selection using generalized linear regression (GLM) to examine which variables (latitude, altitude, presence/absence of fishes, and their interaction terms) affect the presence or absence of D. dentifera or D. galeata in the collecting site. Since the dependent variable was binomial (i.e., presence or absence), we used GLM with binominal distribution and logit link. We explored the set of predictors of the independent variables with a stepwise AIC procedure; independent variables were removed and added to the models to determine the set of predictors that yielded the lowest AIC by using the software R.
DNA extraction, PCR, and sequencing
Total genomic DNA was extracted using a chelating resin, Chelex 100 (Bio-Rad). Samples were incubated in 30 μL of 6% Chelex 100 at 60°C for 3 h, mixed for a short period, incubated at 98°C for 10 min, centrifuged at 14,000 rpm at 4°C for 1 min, stored at RT overnight, and diluted 10 times with TE buffer. We amplified a fragment of mitochondrial 12SrRNA using the primers 5'- ATG CAC TTT CCA GTA CAT CTA C -3' and 5'- AAA TCG TGC CAG CCG TCG C -3' , and a fragment of nuclear ITS-1 using the 18SD primer 5' - CAC ACC GCC CGT CGC TAC TAC CGA TTG -3' and the 5.8BR primer 5'- TAG GAT TAG CGC ACT TTG CTG C -3' . Each 50 μL of polymerase chain reaction (PCR) mixture consisted of 5 μL of extracted DNA, 0.5 μM of each primer, 0.2 mM of each dNTP, 10 mM of Tris HCl (pH 8.3), 5 mM of MgCl2, 50 mM of KCl, and 0.25 units of rTaq (Takara). The PCR temperature profile used for both the 12SrRNA and ITS-1 amplification reactions was as follows: 1 cycle of 94°C for 1 min, 10 cycles of 94°C for 1 min, 53°C for 1 min, and 72°C for 2 min, and 30 cycles of 92°C for 1 min, 53°C for 2 min, and 72°C for 1 min. After cycle-sequencing using a Big Dye Terminator Cycle Sequencing Kit (Applied Biosystems), sequences were obtained using an ABI PRISM 3130-Avant Genetic Analyzer (Applied Biosystems), aligned with Clustal X , and manually adjusted with Se-Al 2.0 .
We discriminated nuclear ITS-2 sequences of specimens by using the RFLP method of Taylor et al. (2005). A fragment of ITS-2 was amplified using the 5.8BF primer 5'- ACC CTG AAC GGT GGA TCA CTA GGC TC -3' and the 28SD2BR primer 5'- TTA GAA GGA GTT TAC CTC CCG CTT AGG -3'. Each 10 μL of the PCR mixture consisted of 5 μL of extracted DNA, 0.5 μM of each primer, 0.2 mM of each dNTP, 10 mM of Tris HCl (pH 8.3), 5 mM of MgCl2, 50 mM of KCl, and 0.25 units of rTaq (Takara). The PCR temperature profile for the ITS-2 amplification reaction was: 40 cycles of 94°C for 1 min, 58°C for 1 min, and 72°C for 2 min, and final extension at 72°C for 20 min. Next, 2.5 μL of PCR products were digested with RsaI (New England Biolabs) at 37°C for 3-6 h. Digested products were then electrophoresed on a 2.5% agarose gel in the presence of ethidium bromide, and classified into five major RFLP patterns (C1, C2, B, C1+C2, C2+B) and other minor patterns, according to Taylor et al. (2005). The C1+C2 and C2+B patterns indicate the heterozygote of the C1 and C2 alleles and the heterozygote of the C2 and B alleles, respectively. We analyzed 138 individuals from 43 populations possessing D. dentifera mtDNA, and 62 individuals from 20 populations possessing D. galeata mtDNA [see Additional file 1]. Two or three individuals of each major RFLP pattern, representing a total of 15 individuals from 15 populations, were cloned and sequenced. Cloning was performed using a TOPO TA Cloning Kit (Invitrogen). Then, three cultured colonies were used for sequencing. After cycle-sequencing with a Big Dye Terminator Cycle Sequencing Kit, sequences were obtained using an ABI PRISM 3130-Avant Genetic Analyzer, aligned with Clustal X, and manually adjusted with Se-Al 2.0.
Reconstruction of phylogeny
We analyzed 205 individuals from 66 populations for mitochondrial 12SrRNA phylogeny using sequences of the subgenus Hyalodaphnia deposited in GenBank [see Additional file 1]. After we identified the specimens as either D. galeata mtDNA type or D. dentifera mtDNA type on the basis of 12SrRNA phylogeny, we directly sequenced and analyzed the nuclear ITS-1 region of 31 individuals from 15 populations possessing D. galeata mtDNA type and 60 individuals from 37 populations possessing D. dentifera mtDNA type. We also analyzed the cloned sequences of the nuclear ITS-2 region of 15 individuals from 15 populations possessing either D. galeata mtDNA or D. dentifera mtDNA. We reconstructed nuclear phylogenies of ITS-1 and ITS-2 with the sequences of D. galeata and D. dentifera deposited in GenBank using the methods of neighbor-joining (NJ), maximum parsimony (MP), maximum likelihood (ML), and Bayesian inference (BI). NJ methods were performed in the program MEGA 5  employing Kimura 2 parameters models (K80) of sequence evolution , pairwise gap deletions, and 1000 bootstrap replicates. MP methods were performed in the program MEGA 5 employing a close neighbour interchange as search option (level = 1), complete gap deletions and 1000 bootstrap replicates. ML analyses were performed in the program RAxML  with the General Time Reversible (GTR) plus gamma distributed model of sequence evolution and 1000 rapid bootstrap replicates . BI analyses were performed in the program MrBayes 3.1.2  using models of sequence evolution independently selected for 12S, ITS-1, and ITS-2 data sets by hierarchical likelihood ratio tests in MrModeltest 2.3 . Selected models for 12S, ITS-1, ITS-2 were GTR plus inverse gamma distribution, K80 plus inverse gamma distribution, K80 plus gamma distribution, respectively. Four Markov chains were started from randomly chosen trees and run for 6,000,000 generations for 12S, for 17,500,000 generations for ITS-1, and for 2,000,000 generations for ITS-2 with sampling every 100 generations. We confirmed convergence of the Markov chains by examining whether average standard deviation of split frequencies was under 0.1 and whether potential scale reduction factor was close to 1.0. Screening for recombinant sequences in the nuclear ITS-1 and ITS-2 alignment was performed using single breakpoint algorithm .
A larger value of CL1 indicates that the crest is more elongated, and a larger value of CL2 means that the crest is located closer to the dorsal margin.
To address the effects of latitude, altitude and existence of fish predators on morphology and mtDNA type, we performed multivariate analysis of variance (MANOVA) by designating the latitude, altitude, and the existence of fish predators (1 or 0) as independent variables and mtDNA types, CL1, CL2 and as dependent variables. Each statistical analysis was performed using the software R.
We would like to thank Tomoya Iwata, Shuhei Ban, Shuji Hino, Manabu Fukui, Hisaya Kojima, Naoko Waki, Yousuke Kagami, Eriko Kato, and Satoshi Kato for their help in the field. This study was funded by the Global Environment Research Fund (F-052) of the Ministry of the Environment, Japan, to MK and JU, by grants from the Japan Society for the Promotion of Science to JU (Nos. 15370010 and 19207003), WM (Nos. 167770011 and 19770010), and SI (No. 22770076), and partially by the Global COE Program "Centre for ecosystem management adapting to global change" (J03) of the Ministry of Education, Culture, Sports, Science and Technology of Japan to SI, MK, and JU
- IPCC: Climate Change 2007: Synthesis report. Contribution of Working Groups I, II, III to the Fourth Assessment Report on the Intergovernmental Panel on Climate Change. 2007, Geneva, Switzerland: IPCCGoogle Scholar
- Walther G-R, Post E, Convey P, Menzel A, Parmesank C, Beebee TJC, Fromentin JM, Hoegh-Guldberg O, Bairlein F: Ecological responses to recent climate change. Nature. 2002, 416: 389-395. 10.1038/416389a.View ArticlePubMedGoogle Scholar
- Parmesan C, Ryrholm N, Stefanescu C, Hillk JK, Thomas CD, Descimon H, Huntleyk B, Kaila L, Kullberg J, Tammaru T, et al: Poleward shifts in geographical ranges of butterfly species associated with regional warming. Nature. 1999, 399: 579-583. 10.1038/21181.View ArticleGoogle Scholar
- Bridle JR, Polechová J, Kawata M, Butlin RK: Why is adaptation prevented at ecological margins? New insights from individual-based simulations. Ecol Lett. 2010, 13: 485-494. 10.1111/j.1461-0248.2010.01442.x.View ArticlePubMedGoogle Scholar
- Bridle JR, Vines TH: Limits to evolution at range margins: when and why does adaptation fail?. Trends Ecol Evol. 2007, 22: 140-147. 10.1016/j.tree.2006.11.002.View ArticlePubMedGoogle Scholar
- Seehausen O: Hybridization and adaptive radiation. Trends Ecol Evol. 2004, 19: 198-207. 10.1016/j.tree.2004.01.003.View ArticlePubMedGoogle Scholar
- Buggs RJA: Empirical study of hybrid zone movement. Heredity. 2007, 99: 301-312. 10.1038/sj.hdy.6800997.View ArticlePubMedGoogle Scholar
- Schwenk K, Posada D, Hebert PDN: Molecular systematics of European Hyalodaphnia: the role of contemporary hybridization in ancient species. Proc R Soc Lon B. 2000, 267: 1833-1842. 10.1098/rspb.2000.1218.View ArticleGoogle Scholar
- Brooks JL: The systematics of North American Daphnia. Mem Conn Acad Arts Sci. 1957, 13: 1-180.Google Scholar
- Taylor DJ, Hebert PDN: Genetic assessment of species boundaries in the North American Daphnia longispina complex (Crustacea: Daphniidae). Zool J Linn Soc. 1994, 110: 27-40. 10.1111/j.1096-3642.1994.tb01469.x.View ArticleGoogle Scholar
- Hobæk A, Wolf HG: Ecological genetics of Norwegian Daphnia. II. Distribution of Daphnia longispina genotypes in relation to short-wave radiation and water colour. Hydrobiologia. 1991, 225: 229-243. 10.1007/BF00028401.View ArticleGoogle Scholar
- Benzie JAH: Cladocera: the genus Daphnia (including Daphniopsis) (Anomopoda: Daphniidae). 2005, Ghent: Kenobi Productions and Leiden: Backhuys PublishersGoogle Scholar
- Hobæk A, Skage M, Schwenk K: Daphnia galeata × D. longispina hybrids in western Norway. Hydrobiologia. 2004, 526: 55-62.View ArticleGoogle Scholar
- Taylor DJ, Hebert P, Colbourne JK: Phylogenetics and evolution of the Daphnia longispina group (Crustacea) based on 12S rDNA sequence and allozyme variation. Mol Phylogenet Evol. 1996, 5: 495-510. 10.1006/mpev.1996.0045.View ArticlePubMedGoogle Scholar
- Taylor DJ, Hebert P: Daphnia galeata mendotae as a cryptic species complex with interspecific hybrids. Limnol Oceanogr. 1992, 37: 658-665. 10.4319/lo.1992.37.3.0658.View ArticleGoogle Scholar
- Taylor DJ, Hebert P: Habitat-dependent hybrid parentage and differential introgression between neighboringly sympatric Daphnia species. Proc Natl Acad Sci USA. 1993, 90: 7079-7083. 10.1073/pnas.90.15.7079.View ArticlePubMedPubMed CentralGoogle Scholar
- Schwenk K: Interspecific hybridization in Daphnia: distinction and origin of hybrid matrilines. Mol Biol Evol. 1993, 10: 1989-1302.Google Scholar
- Gießler S: Morphological differentiation within the Daphnia longispina group. Hydrobiologia. 2001, 442: 55-66. 10.1023/A:1017504803506.View ArticleGoogle Scholar
- Jankowski T, Straile D: Allochronic differentiation among Daphnia species, hybrids and backcrosses: the importance of sexual reproduction for population dynamics and genetic architecture. J Evol Biol. 2004, 17: 312-321.PubMedGoogle Scholar
- Petrusek A, Hobæk A, Nilssen JP, Skage M, Černý M, Brede N, Schwenk K: A taxonomic reappraisal of the European Daphnia longispina complex (Crustacea, Cladocera, Anomopoda). Zool Scr. 2008, 37: 507-519. 10.1111/j.1463-6409.2008.00336.x.View ArticleGoogle Scholar
- Ishida S, Taylor DJ: Mature habitats associated with genetic divergence despite strong dispersal ability in an arthropod. BMC Evol Biol. 2007, 7: 52-10.1186/1471-2148-7-52.View ArticlePubMedPubMed CentralGoogle Scholar
- Duffy MA, Tessier AJ, Kosnik M: Testing the ecological relevance of Daphnia species designations. Freshwater Biol. 2004, 49: 55-64. 10.1046/j.1365-2426.2003.01164.x.View ArticleGoogle Scholar
- Taylor DJ, Sprenger HL, Ishida S: Geographic and phylogenetic evidence for dispersed nuclear introgression in a daphniid with sexual propagules. Mol Ecol. 2005, 14: 525-537. 10.1111/j.1365-294X.2005.02415.x.View ArticlePubMedGoogle Scholar
- Gélinas M, Pinel-Alloul B, Ślusarczyk M: Formation of morphological defences in response to YOY perch and invertebrate predation in two Daphnia species coexisting in a mesotrophic lake. Hydrobiologia. 2007, 594: 175-185. 10.1007/s10750-007-9078-1.View ArticleGoogle Scholar
- Bungartz B, Branstrator DK: Morphological changes in Daphnia mendotae in the chemical presence of Bythotrephes longimanus. Arch Hydrobiol. 2003, 158: 97-108. 10.1127/0003-9136/2003/0158-0097.View ArticleGoogle Scholar
- Dodson SI: Cyclomorphosis in Daphnia galeata mendotae Birge and D. retrocurva Forbes as a predator-induced response. Freshwater Biol. 1988, 19: 109-114. 10.1111/j.1365-2427.1988.tb00332.x.View ArticleGoogle Scholar
- Hanazato T: Induction of development of high helmets by a Chaoborus-released chemical in Daphnia galeata. Arch Hydrobiol. 1991, 122: 167-175.Google Scholar
- Lysebo EM: Behavioural and morphological changes in polymorphic Daphnia related to different predation regimes. Hydrobiologia. 1995, 307: 185-191. 10.1007/BF00032011.View ArticleGoogle Scholar
- Mort MA: Chaoborus predation and the function of phenotypic variation in Daphnia. Hydrobiologia. 1986, 133: 39-44. 10.1007/BF00010800.View ArticleGoogle Scholar
- Laforsch C, Tollrian R: Inducible defenses in multipredator environments: cyclomorphosis in Daphnia cucullata. Ecology. 2004, 85: 2302-2311. 10.1890/03-0286.View ArticleGoogle Scholar
- Tollrian R: Chaoborus crystallinus predation on Daphnia pulex: can induced morphological changes balance effects of body size on vulnerability?. Oecologia. 1995, 101: 151-155. 10.1007/BF00317278.View ArticleGoogle Scholar
- Brooks JL, Dodson SI: Predation, Body Size, and Composition of Plankton. Science. 1965, 150: 28-35. 10.1126/science.150.3692.28.View ArticlePubMedGoogle Scholar
- Ishida S, Taylor DJ: Quaternary diversification in a sexual Holarctic zooplankter, Daphnia galeata. Mol Ecol. 2007, 16: 569-582.View ArticlePubMedGoogle Scholar
- Hewitt G: The structure of biodiversity-insights from molecular phylogeography. Front Zool. 2004, 1: 4-10.1186/1742-9994-1-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Tsukada M: Map of vegetation during the last glacial maximum in Japan. Quaternary Res. 1985, 23: 369-381. 10.1016/0033-5894(85)90041-9.View ArticleGoogle Scholar
- Ishida S, Kotov A, Taylor DJ: A new divergent lineage of Daphnia (Cladocera: Anomopoda) and its morphological and genetical differentiation from Daphnia curvirostris Eylmann, 1887. Zool J Linn Soc. 2006, 146: 385-405. 10.1111/j.1096-3642.2006.00214.x.View ArticleGoogle Scholar
- Xu S, Hebert PDN, Kotov A: The noncosmopolitanism paradigm of freshwater zooplankton: insights from the global phylogeography of the predatory cladoceran Polyphemus pediculus (Linnaeus, 1761) (Crustacea, Onychopoda). Mol Ecol. 2009, 18: 5161-5179. 10.1111/j.1365-294X.2009.04422.x.View ArticlePubMedGoogle Scholar
- Makino W, Tanabe AS: Extreme population genetic differentiation and secondary contact in the freshwater copepod Acanthodiaptomus pacificus in the Japanese Archipelago. Molecular Ecology. 2009, 18: 3699-3713. 10.1111/j.1365-294X.2009.04307.x.View ArticlePubMedGoogle Scholar
- Kotov A, Ishida S, Taylor DJ: Revision of the genus Bosmina (Cladocera: Bosminidae), based on evidence from male morphological characters and molecular phylogenies. Zool J Linn Soc. 2009, 156: 1-51. 10.1111/j.1096-3642.2008.00475.x.View ArticleGoogle Scholar
- Urabe J, Maruyama T: Prey selectivity of two cyprinid fishes in Ogochi Reservoir. Bull Japan Soc Sci Fish. 1986, 52: 2045-2054.View ArticleGoogle Scholar
- Thompson JD, Gibson TJ, Plewniak F, Jeanmougin F, Higgins DG: The CLUSTAL_X windows interface: flexible strategies for multiple sequence alignment aided by quality analysis tools. Nucleic Acids Res. 1997, 25: 4876-4882. 10.1093/nar/25.24.4876.View ArticlePubMedPubMed CentralGoogle Scholar
- Rambaut A: Se-Al: Sequence Alignment Editor. 1996, [http://tree.bio.ed.ac.uk]Google Scholar
- Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S: MEGA5: Molecular Evolutionary Genetics Analysis using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods. Mol Biol Evol. 2011Google Scholar
- Kimura M: A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. J Mol Evol. 1980, 16: 111-120. 10.1007/BF01731581.View ArticlePubMedGoogle Scholar
- Stamatakis A: RAxML-VI-HPC: Maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006, 22: 2688-2690. 10.1093/bioinformatics/btl446.View ArticlePubMedGoogle Scholar
- Stamatakis A, Hoover P, Rougemont J: A rapid bootstrap algorithm for the RAxML Web servers. Syst Biol. 2008, 57: 758-771. 10.1080/10635150802429642.View ArticlePubMedGoogle Scholar
- Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19: 1572-1574. 10.1093/bioinformatics/btg180.View ArticlePubMedGoogle Scholar
- Nylander J: MrModeltest v2. 2. Program distributed by the author. 2004, Evolutionary Biology Centre, Uppsala UniversityGoogle Scholar
- Kosakovsky Pond SL, Posada D, Gravenor MB, Woelk CH, Frost SDW: Automated phylogenetic detection of recombination using a genetic algorithm. Mol Biol Evol. 2006, 23: 1891-1901. 10.1093/molbev/msl051.View ArticlePubMedGoogle Scholar
- Petrusek A, Hobæk A, Nilssen JP, Skage M, Černý M, Brede N, Schwenk K: A taxonomic reappraisal of the European Daphnia longispina complex (Crustacea, Cladocera, Anomopoda). Zool Scr. 2008Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.