Skip to main content
Advertisement
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

Hybridization between an endangered freshwater fish and an introduced congeneric species and consequent genetic introgression

  • Hiroki Hata ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – review & editing

    hata@sci.ehime-u.ac.jp

    Affiliation Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime, Japan

  • Yohsuke Uemura,

    Roles Data curation, Formal analysis, Visualization, Writing – review & editing

    Affiliation Department of Biology, Faculty of Science, Ehime University, Matsuyama, Ehime, Japan

  • Kaito Ouchi,

    Roles Data curation, Formal analysis, Investigation, Methodology, Resources, Visualization, Writing – original draft

    Affiliation Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime, Japan

  • Hideki Matsuba

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Visualization

    Affiliation Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime, Japan

Abstract

Artificial transplantation of organisms and consequent invasive hybridization can lead to the extinction of native species. In Matsuyama, Japan, a native bitterling fish, Tanakia lanceolata, is known to form hybrids with another bitterling species, T. limbata, which was recently introduced from western Kyushu, Japan. These bitterlings spawn in the gills of two freshwater unionid species, Pronodularia japanensis and Nodularia douglasiae nipponensis, which have rapidly declined on the Matsuyama Plain in the past 30 years. To gauge the effect of invasive hybridization, we determined the genetic introgression between T. lanceolata and T. limbata and analyzed the morphology of these species and their hybrids to infer their niche overlap. We collected adult individuals of Tanakia spp. and genotyped them based on six microsatellite loci and mitochondrial cytochrome b sequences. We analyzed their meristic characters and body shapes by geometric morphometrics. We found that 10.9% of all individuals collected were hybrids. Whereas T. lanceolata were more densely distributed downstream and T. limbata were distributed upstream, their hybrids were widely distributed, covering the entire range of native T. lanceolata. The body height and anal fin length of T. limbata were greater than those of T. lanceolata, but their hybrids were highly morphologically variable, covering both parental morphs, and were widely distributed in the habitats of both parental species. Hybridization has occurred in both directions, but introduced T. limbata females and native T. lanceolata males are more likely to have crossed. This study shows that invasive hybridization with the introduced T. limbata is a potential threat to the native population of T. lanceolata via genetic introgression and replacement of its niche in streams.

Introduction

The introduction of non-native organisms into a habitat can bring about the extinction of related native species through competition and hybridization [1,2]. In rivers in western North America, for example, native cutthroat trout breed with introduced rainbow trout and face local extinctions through competition and displacement by the resulting hybrids, although the two parent species seldom mix with each other in naturally coexisting ranges [3,4]. In Japanese freshwater systems, invasive hybrids of alien and native cyprinid species are causing the decline of the native species [5,6].

Bitterling fishes of the family Cyprinidae inhabit rivers, agricultural ditches, and small ponds, and breed by depositing eggs in the gills of freshwater bivalves [7,8]. In Japan, 15 of the 16 native bitterling species and subspecies are listed on the Japanese Red List, facing extinction crises due to multiple stresses, the most critical of which are habitat loss from urbanization, river improvement, and the consequent decline of unionid bivalve populations [9,10,11,12]. The introduction of alien species is another factor negatively impacting native species. The rosy bitterling Rhodeus ocellatus ocellatus was introduced to Japanese waters from China in 1942 [13]; consequent competition for habitat and breeding sites (unionid species) along with invasive hybridization caused the extinction of most populations of native R. ocellatus kurumeus [14]. In western Japan, Tanakia limbata has been artificially transplanted to some rivers outside its native range, where it generates invasive hybrids with the native congeneric species T. lanceolata [15]. Tanakia limbata was introduced to Ehime Prefecture in the 1970s [16] and now competes with two other bitterlings there, the native T. lanceolata and the exotic R. ocellatus ocellatus, for the use of the same unionid species as breeding substrata [15]. Populations of the unionid mussels, Pronodularia japanensis and Nodularia douglasiae nipponensis, which serve as spawning sites for bitterlings on the Matsuyama Plain, have decreased rapidly over the past 30 years because of habitat degradation [17]. Consequently, T. lanceolata populations have also decreased in the past two decades [18]. The decline of suitable breeding substrata may also force bitterlings to engage in group spawning by multiple males and females instead of pair spawning, a behavior that has been observed in the bitterling Rhodeus ocellatus [19]. In group spawning, different bitterling species may spawn simultaneously and hybridize incidentally with each other [1].

Tanakia lanceolata and T. limbata diverged about 10 million years ago [20]. They produce fertile hybrids [21], but the survival rate of these hybrids in the post-larval stage is lower than that of purebred fish, suggesting some degree of postzygotic isolation [22]. Prezygotic isolation has also likely been established through sexual isolation between hybridizing fishes because of a decline in parental fitness of that breed with other species [23,24]. In fact, T. lanceolata and T. limbata are somewhat segregated by habitat and prefer different breeding substrates within a river: T. lanceolata prefers faster-flowing waters and spawns mainly on unionids in the thalweg section, whereas T. limbata lives and spawns near the banks of rivers, where the flow is weaker [25]. Male T. limbata will defend a unionid breeding territory against T. lanceolata as well as other T. limbata males [26,27].

The fitness of hybrid individuals determines the consequences of hybridization, (i.e. whether it enhances speciation by adaptive radiation through transgressive segregation [28,29], causes the extinction of either parent, or leads to the fusion of the parental species [30,31]). In theory, the fitness of hybrids is strongly affected by the phylogenetic distance between its two parent species and the variety of ecological niches that are available [32], but it is necessary to accumulate more empirical studies about the phylogenetic distances between hybridizing species, the traits and niche preference of hybrid individuals, and the consequences of hybridization to construct a general rule about hybrid fitness.

To this end, we classified individuals as T. lanceolata, T. limbata, or their hybrid using microsatellite nuclear DNA markers and mitochondrial cytochrome b sequences. We also analyzed the direction of hybridization using both nuclear and mitochondrial genes. Finally, we examined the body shapes, meristic characters, and longitudinal distribution within streams of T. lanceolata, T. limbata, and their hybrids.

Materials and methods

Ethics statement

The field sampling and sample treatment were conducted in accordance with the "Guidelines for the use of fishes in research" by the Ichthyological Society of Japan (http://www.fish-isj.jp/english/guidelines.html). All animal experiments were approved by the Ethics Committee for Animal Experiments of Ehime University. The experimental procedures were conducted in accordance with the approved guidelines.

Sampling

We collected 211 Tanakia individuals at five sites in the Shigenobu River system, 13 sites in the Kunichi River system, and three sites in the Nagaodani stream (33°46' N–33°47' N, 132°42' E–132°53' E) between May 2011 and October 2013 using an electrofishing unit (LR-24, Smith-Root Inc., Vancouver, WA, USA; Fig 1). These sampling sites cover the distribution range of T. lanceolata and T. limbata on the Matsuyama plain [15,18]. We collected Tanakia individuals from a 50 m section along the river/streams at each site to limit negative effects on the endangered T. lanceolata population. Ehime Prefecture granted permission to conduct this sampling. The collected specimens were sacrificed by immersion in an ice-water slurry, and their right pelvic fins were removed and fixed in 99.9% ethanol for molecular analysis. We then spread the specimens’ fins with needles and photographed their left sides for morphometric analysis using a digital camera E-520 (Olympus, Tokyo, Japan). We fixed specimens in 10% formalin for 2 weeks, after which they were washed and moved to 70% ethanol for preservation. All of the specimens are stored as voucher specimens at the Department of Biology, Graduate School of Science and Engineering, Ehime University.

thumbnail
Fig 1. Study species and maps of the study sites on the Matsuyama Plain, Ehime prefecture, Japan, and distribution of native Tanakia lanceolata, introduced T. limbata, and their hybrids.

(a) Tanakia lanceolata and (b) T. limbata with the scale bar of 10 mm. (c) Location of the study areas in Japan. (d) Distribution of T. lanceolata (red), T. limbata (green), and hybrids of these two species (gray) classified based on six microsatellite markers. Circle size indicates the number of individuals. We have drawn these maps ourselves based on maps provided under CC BY 4.0 by the Geospatial Information Authority of Japan (https://maps.gsi.go.jp).

https://doi.org/10.1371/journal.pone.0212452.g001

DNA sequencing and genotyping of cytochrome b

Clippings (ca. 2 × 2 mm) were taken from the ethanol-preserved fins, and genomic DNA was extracted using the Wizard Genomic DNA Purification Kit following the manufacturer’s protocol (Promega, Madison, WI, USA). We amplified the cytochrome b (cyt b) region of mtDNA by PCR with the forward primer NEW-FOR, 5’-AGCCTACGAAAAACACACCC- 3’ [33], and the reverse primer cytb-Rev, 5’-GATCTTCGGATTACAAGACC-3’ [34]. The reaction mixture contained 6.05 μL of sterile distilled water, 1.0 μL of 10× ImmoBuffer (Bioline, London, UK), 1.0 μL of dNTP mix (10 mM), 0.3 μL of MgCl2 (50 mM), 0.3 μL of each primer (10 μM), 0.05 μL of BIOTAQ HS DNA polymerase (5U/μL, Bioline), and 1.0 μL of DNA template. The reaction protocol consisted of an initial denaturation at 95°C for 10 min; this was followed by 30 cycles of 95°C for 60 s, 58°C for 60 s, and 72°C for 90 s and a final extension at 72°C for 7 min. We obtained sequences for 48 of the 211 collected individuals as follows: PCR products were purified using polyethylene glycol following the protocol of [35] and subjected to direct cycle sequencing with BigDye Terminator version 3.1 (Thermo Fisher Scientific, MA, USA) using the PCR primers. Sequencing followed the ABI recommended protocol. Labeled fragments were sequenced using an ABI 3130 Genetic Analyzer (Thermo Fisher Scientific). Sequences were stored under the accession numbers AB907119–31, AB907133–5, AB907145–8, and AB920289–91. Following sequencing, we defined the mitochondrial genotype of each individual as T. lanceolata or T. limbata [15,18].

The remaining 163 individuals were genotyped by PCR-restriction fragment length polymorphism (PCR-RFLP) using the restriction enzyme HhaI (TaKaRa Bio, Shiga, Japan), which cuts the cyt b fragments of T. lanceolata and T. limbata in different locations [15]. HhaI produced fragments of 91, 218, 252 and 369 bps for T. lanceolata, and fragments of 18, 109, 252 and 821 bps for T. limbata (S1 Fig). We incubated 5.0 μL of the PCR products with 0.2 μL of HhaI (10 U/μL), 3.8 μL of sterile distilled water, and 1.0 μL of 10× M buffer overnight. We conducted gel electrophoresis with the reaction products for 40 min at 100 V on 3% agarose gel (NIPPON Genetic, Tokyo, Japan) and genotyped individual fish according to the resulting fragment patterns.

Genotyping using microsatellite markers

We used six microsatellite loci as markers following our preliminary study [15]: RC363 and RC317A, which were reported from Rhodeus ocellatus ssp. [36], and Rser02, Rser03, Rser07, and Rser10, which were reported from R. sericeus [37]. The target sequences were amplified by PCR following the method of [38], and each microsatellite primer was labeled with one of four fluorescent dyes: RC363 and Rser07 were labeled with PET, RC317A and Rser03 with FAM, Rser02 with NED, and Rser10 with VIC. The reaction mixture contained 3.15 μL of sterile distilled water, 0.5 μL of 10× ImmoBuffer (Bioline), 0.5 μL of dNTP mix (10 mM), 0.15 μL of MgCl2 (50 mM), 0.02 μL of forward primer (10 μM), 0.08 μL of reverse primer (10 μM), 0.08 μL of fluorescent dye label (10 μM), 0.025 μL of BIOTAQ HS DNA polymerase (5U/μL, Bioline), and 0.5 μL of DNA template. The reaction consisted of an initial denaturation at 95°C for 10 min; followed by 30 cycles of 95°C for 30 s, 60°C for 45 s, and 72°C for 30 s; 10 cycles of 95°C for 30 s, 53°C for 45 s, and 72°C for 45 s; and a final extension at 72°C for 10 min. We determined the lengths of fragments using an ABI 310 Genetic Analyzer (Thermo Fisher Scientific) and Peak Scanner software version 2.0 (Thermo Fisher Scientific). The number of alleles, expected heterozygosity (He), and observed heterozygosity (Ho) were calculated using Genepop on the Web [39,40]. Deviations from Hardy–Weinberg equilibrium (HWE) were also tested using Genepop on the Web [39,40]. Null alleles and their frequencies were determined using Micro-Checker version 2.2.3 [41]. The population genetic structure was analyzed using Structure version 2.3.4 [42] with the following parameters: 100,000 burn-in; 1,000,000 Markov chain Monte Carlo steps; admixture model with independent allele frequencies; and five replicates of each simulation from K = 1 to 10 genetic clusters. The optimum K value calculated by Structure Harvester version 0.6.94 [43] was 2 (S2 Fig). As the resultant 2 populations corresponded well with the mitochondrial genotypes and morphological characters, we defined the population with a cyt b sequence and morphology of T. lanceolata as purebred T. lanceolata, and the other population, which possessed the T. limbata morphology and cyt b sequence, was defined as purebred T. limbata. We defined hybrids as those with more than 20% of their genetic material matching both purebred type [44].

We used NewHybrids [45] to assign each individual to one of six genotypic classes based on the posterior probabilities: the two parental species (P0, P1), first-generation hybrid (F1), second-generation hybrid (F2), backcross of F1 with P0, and backcross of F1 with P1. We used 0.5 as a threshold value for the posterior probability (q) with their assignment following [46]. Parameters of NewHybrids were set as follows: without individual or allele frequency prior information; Jeffreys-like prior for both mixing proportions and allele frequencies; 25,000 sweeps of burn-in; and 100,000 iterations of the Markov chain Monte Carlo. To assess the efficiency and accuracy of genotype assignment by NewHybrids, we conducted a simulation method using HYBRIDLAB version 1.0 [44,47]. A total of 100 simulated hybrids of each hybrid class were generated based on the allelic frequencies of 81 T. lanceolata individuals and 68 T. limbata that were identified as purebreds in the previous Structure analysis, with a cut-off value of 0.9 for the ancestry coefficient. This dataset was analyzed by NewHybrids to assign each individual to a genotypic class with q = 0.5 to estimate the accuracy and efficiency of the assignment.

Distribution characteristics

To clarify the longitudinal distribution of bitterlings in the Kunichi, Koyori, and Nagaodani streams, we performed a generalized linear mixed model (GLMM) analysis with the number of individuals of each species/hybrid and the number of other individuals as response variables, distance from the river mouth as a fixed factor, and the stream as a random factor. GLMM analysis was conducted using the glmmML 1.0.3 package in R 3.5.0 [48].

Analysis of external morphology

We measured the meristic characters of our bitterling specimens and conducted geometric morphometrics of body shapes to distinguish T. lanceolata, T. limbata, and their hybrids. The number of lateral line scales (LLS) and the number of anal fin soft rays (AFR) were used as meristic characters. Tanakia lanceolata has 36 to 39 LLS, whereas T. limbata has 32 to 36; T. lanceolata has 8 to 10 AFR, and T. limbata has 9 to 12 [49]. To compare body-shape morphometrics, we placed 11 landmarks on specimen photos in tpsDig2 version 2.32 [50](Fig 2). We conducted a Procrustes analysis based on the coordinate data of the landmarks; this was followed by a principal component analysis (PCA) on the resultant data with MorphoJ [51]. We compared the PC1 and PC2 of bitterling body shapes with a permutational MANOVA (PERMANOVA) using the function Adonis in the package vegan 2.5–2 in R version 3.5.0. We conducted pairwise comparisons using the pairwise.perm.manova function of the RVAideMemoire package version 0.9-69-3.

thumbnail
Fig 2. Body shape landmarks for geometric morphometrics.

(1) Anterior tip of snout, (2 and 3) anterior and posterior insertion of the dorsal fin, (4 and 5) upper and lower insertion of the caudal fin, (6 and 7) posterior and anterior insertion of the anal fin, (8) insertion of the pelvic fin, (9 and 10) ventral and dorsal insertion of the operculum on the profile, and (11) dorsal insertion of the pectoral fin. Number of lateral line scales and number of anal fin soft rays are observed as meristic characters.

https://doi.org/10.1371/journal.pone.0212452.g002

Results

Genetic analyses

We determined the genotypes of 211 adult Tanakia individuals using six microsatellite loci. The results given by Structure and NewHybrids were largely consistent (Fig 3 and S1 and S2 Tables). Therefore, we used the NewHybrids results in the following analyses. Of the 211 subjects, 104 were classified as T. lanceolata, and all of these had T. lanceolata mitochondrial cyt b sequences; 85 were classified as T. limbata, and only one of these had the T. lanceolata cyt b type, most likely pointing to that individual being descended from a hybrid. The remaining 22 subjects were hybrids of the two species. The T. lanceolata cyt b sequence was found in 7 of these, whereas the other 15 had the T. limbata cyt b sequence. These hybrid individuals were further classified as 19 F2 individuals and 3 ambiguous hybrids. However, efficiency to distinguish genetic classes among hybrids were limited (S3 Table), and thus we do not distinguish them and instead use a category, hybrid.

thumbnail
Fig 3. Results of population genetic analysis of Tanakia lanceolata, T. limbata, and their hybrids in streams in Ehime, Japan, based on six microsatellite loci.

Squares above bars indicate mitochondrial cytochrome b genotypes. Asterisks above squares indicate hybrid individuals. Numbers indicate the locality as shown in Fig 1.

https://doi.org/10.1371/journal.pone.0212452.g003

Distribution in streams

Hybrids of T. lanceolata and T. limbata were found in the Kunichi, Koyori, and Nagaodani streams and at one site in the Omote River. We found that T. lanceolata were more densely distributed in the lower reaches of the Kunichi and Nagaodani streams (GLMM, P < 0.001; Fig 4A), whereas T. limbata were concentrated further upstream (GLMM, P < 0.001; Fig 4B). Hybrids occurred throughout the stream systems (GLMM, P > 0.05; Fig 4C).

thumbnail
Fig 4. Longitudinal distribution of Tanakia lanceolata, T. limbata, and their hybrids in study streams.

(a) Tanakia lanceolata, (b) T. limbata, and (c) their hybrids. Solid curves indicate estimated values based on the result of a GLM without any variance among streams, and dotted curves indicate estimated values based on a GLMM with variance among streams.

https://doi.org/10.1371/journal.pone.0212452.g004

Morphological characteristics

We found meristic characters consistent with T. lanceolata (36–39 LLS and 9–10 AFR) in 92 (88.5%) of the 104 individuals genetically determined to be purebred T. lanceolata, whereas 5 (4.8%) had characters unique to T. limbata (Fig 5). On the other hand, all individuals genetically identified as purebred T. limbata had the meristic characters of T. limbata (32–36 LLS and 9–12 AFR). Of the 23 specimens identified as hybrids, 3 (13.0%) had characters unique to T. lanceolata, 3 (13.0%) had intermediate characters (36 LLS and 9–10 AFR), and the other 17 (73.9%) had characters unique to T. limbata.

thumbnail
Fig 5. Meristic characters and genotypes of Tanakia lanceolata, T. limbata, and their hybrids.

Circle size indicates the number of individuals.

https://doi.org/10.1371/journal.pone.0212452.g005

Geometric morphometric analysis showed that the body shape of T. lanceolata, T. limbata, and their hybrids differed significantly (PERMANOVA, R2 = 0.69, P < 0.001). The groups had significantly different PC1 values (pairwise PERMANOVA, P < 0.001 for all the pairs): they were positive in T. lanceolata, negative in T. limbata, and their hybrids covered the full range of both parental species (Fig 6A). The difference in the body shapes of T. lanceolata and T. limbata was largely derived from four landmarks (2, 3, 7, and 11) reflecting body height, anal fin length, and the position of the pelvic fin (Figs 2 and 6B). Of the 23 hybrids, 14 (66.7%) had negative PC1 values, suggesting that these had body shapes to that of T. limbata. There was no difference in the body shape of hybrid individuals with mitochondrial genotypes of T. lanceolata and T. limbata (PERMANOVA, P > 0.05). Note that no significant differences were detected between females and males in T. lanceolata, T. limbata, or their hybrids.

thumbnail
Fig 6. Differences in the body shapes of Tanakia lanceolata, T. limbata, and their hybrids.

(a) Variations in body shape based on geometric morphometrics. Genotyping was conducted in NewHybrids based on six microsatellite loci. Circles indicate individuals with T. lanceolata mitochondrial genotype; squares indicate T. limbata mitochondrial genotypes. (b) Variations in shape along the PC1 axis. (c) Variations in shape along the PC2 axis. The lines in (b and c) indicate shape changes following the plot shifts in (a) with 0.1 unit in the positive PC direction. (d) Comparison between individuals with the maximum (T. lanceolata morph) and minimum (T. limbata morph) PC1 scores.

https://doi.org/10.1371/journal.pone.0212452.g006

Relationship between morphology and distribution in streams

No relationship was detected between the body shape (PC1 or PC2 of geometric morphometrics) and collection site (distance from the river mouth; GLM, P > 0.05 for T. lanceolata, T. limbata, and their hybrids; Fig 7).

thumbnail
Fig 7. Relationships between body shape and longitudinal distribution in rivers of T. lanceolata, T. limbata, and their hybrids.

(a) Relationship between distance from the river mouth and PC1 values of geometric morphometrics of body shape; (b) relationship between distance from the river mouth and PC2 values.

https://doi.org/10.1371/journal.pone.0212452.g007

Discussion

Morphological differences and habitat niches in streams

In terms of the longitudinal distribution of bitterlings in the study streams, T. lanceolata were found primarily downstream, whereas T. limbata preferred upstream waters. In the Harai River in central Japan, where these two bitterlings are sympatric, their habitat is segregated within the river: T. limbata is distributed near the banks, where water is slow flowing and shallower, and T. lanceolata is widely distributed in the middle of the river [25]. In another sympatric locality in northern Kyushu, T. limbata are found upstream of T. lanceolata [52]. We found similar habitat segregation in the three streams in this study, with T. limbata distributed primarily upstream, where water flow was slower. Morphometric analysis showed that T. limbata had greater body height than did T. lanceolata, which is consistent with previous results given by the direct measurement of the body depth of Tanakia spp. in the Harai River [25]. Body height correlates negatively with swimming speed in cyprinid fishes [53]. The taller T. limbata experiences more drag than T. lanceolata and thus prefers habitats with slower-flowing water. Hybrid individuals with a T. limbata-like body shape may also prefer slower flow, but hybrids with an intermediate body shape may expand their distribution to habitats with faster water flow. The body shape of hybrids can be intermediate between parental species, as in the hybrids of another pair of cyprinid fishes, Rutilus rutilus and Abramis brama, in an Irish lake [54], but this is far from the only possibility. Hybrids can have a wide range of body shapes extending to the morphs of both parental species and sometimes exceeding the range of their parent species (through transgressive segregation), as in African cichlids [28]. Hybrids in this study had a wide range of both meristic characters and body shapes, covering the morphs of both parental species, and were distributed both upstream and downstream. Kunichi, Koyori, and Nagaodani streams are inhabited by the unionids Nodularia douglasiae nipponensis, Pronodularia japanensis, and Sinanodonta spp. However, the ranges of distribution of these unionids, as well as their population densities, have rapidly declined in the past 30 years. Only a small P. japanensis population remains in the middle reaches where the habitats of T. lanceolata and T. limbata overlap [17]. Therefore, in the breeding season (from March to July for T. lanceolata and from March to September for T. limbata), adult fishes gather in the midstream for reproduction [15,52]. Thus, the habitat segregation observed between T. lanceolata and T. limbata seems to be caused by different preferences for habitat based on different body shapes, and annual migration.

Cause of hybridization

In this system, it is difficult to accurately distinguish genetic classes among hybrids based on six microsatellite markers, but a high rate of F2 hybrids, 19 of 23 hybrid individuals (82.6%), was detected. This result suggests that the genetic introgression proceeds from this invasive hybridization. Although some bitterling fish species prefer different freshwater mussel species [25,55], T. lanceolata and T. limbata choose the same species of unionid [25] and sometimes spawn their eggs simultaneously in the same individual mussels. Thus, the rapid decline of the unionid population in their habitats causes overcrowding of bitterling fishes and accelerates competition for breeding substrata. Bitterling males are known to use alternative reproductive tactics depending on the availability of females and the breeding substratum (mussels); they may engage in pair spawning on a mussel territory, sneaking toward a pair, or group spawning with multiple males [19,56,57,58]. When the density of bitterlings is much higher than that of unionids, territoriality collapses, and sneaking and group spawning become dominant [19,59,60]. In both of these strategies, different bitterling species spawn simultaneously and may incidentally hybridize with each other [1,61]. In fact, T. lanceolata and T. limbata have been observed breeding simultaneously on the same Pronodularia japanensis at our study site (Matsuba, Ouchi, Hata, personal observations). The limited availability of suitable breeding substrata due to the rapid decline of mussel populations and the concentration of the remaining unionid population in the midstream, where the ranges of the two bitterling species overlap, increases the frequency of encounters between native T. lanceolata and T. limbata. Hybridization occurred in both directions but was skewed toward female T. limbata–male T. lanceolata crosses. This bias is likely due to the rarity of introduced species during the colonizing period; in group spawning, T. lanceolata eggs might be encountered and fertilized more frequently by sperm of the more common T. lanceolata.

Conservation perspective

On the Matsuyama Plain, native T. lanceolata are at risk due to competition for breeding substrata and continuous genetic introgression with introduced T. limbata. Tanakia lanceolata currently shares its entire range and breeding substratum with T. limbata and their hybrids, and is in competition with both. A necessary first step in the conservation of T. lanceolata is the construction of a protected area. The midstream of the stream system can be a focal area [62], where unionids survive and from which T. limbata and hybrids can be eliminated and their further immigration restricted. In Japan, the endangered bitterling fishes, Rhodeus ocellatus kurumeus, Pseudorhodeus tanago, and Acheilognathus longipinnis, are conserved in irrigation reservoirs scattered around the native range, backwater pools of a river, and irrigation creeks, respectively [63,64]. At the same time, conservation of declining mussels throughout the stream systems is crucial as a part of global efforts to conserve freshwater mussels [65].

Supporting information

S1 Table. Genotyping of Tanakia individuals in Matsuyama, Ehime, Japan, based on six microsatellite loci using Structure, NewHybrids, and mitochondrial cytochrome b sequences.

https://doi.org/10.1371/journal.pone.0212452.s001

(XLSX)

S2 Table. Allelic variability at six microsatellite loci in populations of Tanakia lanceolata, T. limbata, and their hybrids in Matsuyama.

Ho, observed heterozygosity; He, expected heterozygosity. HWE, the Hardy–Weinberg equilibrium. * denotes significant deviation from HWE after Bonferroni correction.

https://doi.org/10.1371/journal.pone.0212452.s002

(XLSX)

S3 Table. Efficiency and accuracy of genotype assignment on our data using by NewHybrids.

https://doi.org/10.1371/journal.pone.0212452.s003

(XLSX)

S1 Fig. An example of gel image used to determine the cyt b haplotype of Tanakia lanceolata (a above the lanes) and T. limbata (i above the lanes).

https://doi.org/10.1371/journal.pone.0212452.s004

(TIF)

S2 Fig. Delta K values calculated by the Evanno method using structure Harvester version 0.6.94.

https://doi.org/10.1371/journal.pone.0212452.s005

(TIF)

Acknowledgments

We are grateful to M. Inoue and K. Omori for comments and suggestions on this study. We also appreciate S. Yoshimi for helping us with our fieldwork. We thank members of the laboratory of Ecology, Faculty of Science, Ehime University for their support.

References

  1. 1. Hubbs CL. Hybridization between fish species in nature. Syst Biol. 1955; 4: 1–20.
  2. 2. Rhymer JM, Simberloff D. Extinction by hybridization and introgression. Annu Rev Ecol Syst. 1996; 27: 83–109.
  3. 3. Allendorf FW, Leary RF. Conservation and distribution of genetic variation in a polytypic species, the cutthroat trout. Conserv Biol. 1988; 2: 170–184.
  4. 4. McKelvey KS, Young MK, Wilcox TM, Bingham DM, Pilgrim KL, Schwartz MK. Patterns of hybridization among cutthroat trout and rainbow trout in northern Rocky Mountain streams. Ecol Evol. 2016; 6: 688–706. pmid:26865958
  5. 5. Konishi M, Hosoya K, Takata K. Natural hybridization between endangered and introduced species of Pseudorasbora, with their genetic relationships and characteristics inferred from allozyme analyses. J Fish Biol. 2003; 63: 213–231.
  6. 6. Mabuchi K, Senou H, Nishida M. Mitochondrial DNA analysis reveals cryptic large-scale invasion of non-native genotypes of common carp (Cyprinus carpio) in Japan. Mol Ecol. 2008; 17: 796–809. pmid:18194166
  7. 7. Wiepkema PR. An ethological analysis of the reproductive behaviour of the bitterling (Rhodeus amarus Bloch). Arch Néerl Zool. 1961; 14: 103–199.
  8. 8. Smith C, Reichard M, Jurajda P, Przybylski M. The reproductive ecology of the European bitterling (Rhodeus sericeus). J Zool. 2004; 262: 107–124.
  9. 9. Kondo T. Monograph of Unionoida in Japan (Mollusca: Bivalvia). Malacological Society of Japan: Japan; 2008.
  10. 10. Negishi JN, Kayaba Y, Tsukahara K, Miwa Y. Ecological studies on Unionoida: current status and future challenges. Jpn J Ecol. 2008; 58: 37–50.
  11. 11. Onikura N, Nakajima J, Eguchi K, Inui R, Higa E, Miyake T, et al. Change in distribution of bitterlings, and effecs of urbanization on pululations of bitterlings and unionid mussels in Tatara River System, Kushu, Japan. Journal of Japan Society on Water Environment. 2006; 29: 837–842.
  12. 12. Onikura N, Nakajima J, Inui R, Kaneto J. Priority maps for protecting the habitats of threatened freshwater fishes in urban areas: a case study of five rivers in the Fukuoka Plain, northern Kyushu Island, Japan. Ichthyol Res. 2016; 63: 347–355.
  13. 13. Nakamura M. On the freshwater fishes introduced and propagated in Kanto Plane. Bull Biogeogr Soc Japan. 1955; 16: 333–337.
  14. 14. Kawamura K, Ueda T, Arai R, Nagata Y, Saitoh K, Ohtaka H, et al. Genetic introgression by the rose bitterling, Rhodeus ocellatus ocellatus, into the japanese rose bitterling, R. o. kurumeus (Teleostei: Cyprinidae). Zool Sci. 2001; 18: 1027–1039.
  15. 15. Uemura Y, Yoshimi S, Hata H. Hybridization between two bitterling fish species in their sympatric range and a river where one species is native and the other is introduced. PLOS ONE. 2018; 13: e0203423. pmid:30192806
  16. 16. Ehime Prefecture, Japan. Freshwater fishes. Red Data Book Ehime. Ehime Prefecture: Matsuyama; 2014. pp. 107–136.
  17. 17. Kuwahara A, Matsuba H, Inoue M, Hata H. Population decline in unionid mussels in the Matsuyama Plain, Ehime Prefecture. Jpn J Conserv Ecol. 2017; 22: 91–103.
  18. 18. Matsuba H, Yoshimi S, Inoue M, Hata H. Origin of Tanakia limbata in Ehime Prefecture indicated by phylogeographic analysis of mitochondrial cytochrome b gene sequences. Jpn J Ichthyol. 2014; 61: 89–96.
  19. 19. Kanoh Y. Reproductive success associated with territoriality, sneaking, and grouping in male rose bitterlings, Rhodeus ocellatus (Pisces: Cyprinidae). Environ Biol Fishes. 2000; 57: 143–154.
  20. 20. Cheng P, Yu D, Liu S, Tang Q, Liu H. Molecular phylogeny and conservation priorities of the subfamily Acheilognathinae (Teleostei: Cyprinidae). Zool Sci. 2014; 31: 300–308. pmid:24832903
  21. 21. Suzuki N, Hibiya T. Hybridization experiments in Acheilognathine fishes (Cyprinidae), intrageneric hybrids between Acheilognathus lanceolata and A. limbata. Bull Coll Agr & Vet Med, Nihon Univ. 1986; 43: 151–164.
  22. 22. Kawamura K, Hosoya K. Masculinization mechanism of hybrids in bitterlings (Teleostei: Cyprinidae). J Hered. 2000; 91: 464–473. pmid:11218084
  23. 23. Barton NH, Hewitt GM. Analysis of hybrid zones. Annu Rev Ecol Syst. 1985; 16: 113–148.
  24. 24. Coyne JA, Orr HA. Speciation. Sinauer Associates: MA, USA; 2004.
  25. 25. Kitamura J. Reproductive ecology and host utilization of four sympatric bittering (Acheilognathinae, Cyprinidae) in a lowland reach of the Harai River in Mie, Japan. Environ Biol Fishes. 2007; 78: 37–55.
  26. 26. Matsushima O. Different preferences for unionid species as a breeding substratum by six bitterling species. In: Nagata Y, editor. Introduction to freshwater fish study. Tokai University Press: Kanagawa; 2014. pp. 50–66.
  27. 27. Fukuhara S. Preferences for two species of unionids as a breeding substratum by three species of bitterling fish. In: Nagata Y, editor. Introduction to freshwater fish study. Tokai University Press: Kanagawa; 2014. pp. 66–75.
  28. 28. Stelkens R, Schmid C, Selz O, Seehausen O. Phenotypic novelty in experimental hybrids is predicted by the genetic distance between species of cichlid fish. BMC Evol Biol. 2009; 9: 283. pmid:19961584
  29. 29. Irisarri I, Singh P, Koblmüller S, Torres-Dowdall J, Henning F, Franchini P, et al. Phylogenomics uncovers early hybridization and adaptive loci shaping the radiation of Lake Tanganyika cichlid fishes. Nat Commun. 2018; 9: 3159. pmid:30089797
  30. 30. Seehausen O, Takimoto G, Roy D, Jokela J. Speciation reversal and biodiversity dynamics with hybridization in changing environments. Mol Ecol. 2008; 17: 30–44. pmid:18034800
  31. 31. Vonlanthen P, Bittner D, Hudson AG, Young KA, Müller R, Lundsgaard-Hansen B, et al. Eutrophication causes speciation reversal in whitefish adaptive radiations. Nature. 2012; 482: 357. pmid:22337055
  32. 32. Kagawa K, Takimoto G. Hybridization can promote adaptive radiation by means of transgressive segregation. Ecol Lett. 2018; 21: 264–274. pmid:29243294
  33. 33. Gilles A, Lecointre G, Miquelis A, Loerstcher M, Chappaz R, Brun G. Partial combination applied to phylogeny of European cyprinids using the mitochondrial control region. Mol Phylogenet Evol. 2001; 19: 22–33. pmid:11286488
  34. 34. Hashiguchi Y, Kado T, Kimura S, Tachida H. Comparative phylogeography of two bitterlings, Tanakia lanceolata and T. limbata (Teleostei, Cyprinidae), in Kyushu and adjacent districts of Western Japan, based on mitochondrial DNA analysis. Zool Sci. 2006; 23: 309–322. pmid:16702764
  35. 35. Rosenthal A, Coutelle O, Craxton M. Large-scale production of DNA sequencing templates by microtitre format PCR. Nucleic Acids Res. 1993; 21: 173–174. pmid:8441614
  36. 36. Shirai Y, Ikeda S, Tajima S. Isolation and characterization of new microsatellite markers for rose bitterlings, Rhodeus ocellatus. Mol Ecol Resour. 2009; 9: 1031–1033. pmid:21564829
  37. 37. Dawson DA, Burland TM, Douglas A, Le Comber SC, Bradshaw M. Isolation of microsatellite loci in the freshwater fish, the bitterling Rhodeus sericeus (Teleostei: Cyprinidae). Mol Ecol Notes. 2003; 3: 199–202.
  38. 38. Schuelke M. An economic method for the fluorescent labeling of PCR fragments: a poor man’s approach to genotyping for research and high-throughput diagnostics. Nat Biotechnol. 2000; 18: 233–234. pmid:10657137
  39. 39. Raymond M, Rousset F. GENEPOP (Version 1.2): population genetics software for exact tests and ecumenicism. J Hered. 1995; 86: 248–249.
  40. 40. Rousset F. GENEPOP'007: a complete re-implementation of the genepop software for Windows and Linux. Mol Ecol Resour. 2008; 8: 103–106. pmid:21585727
  41. 41. Van Oosterhout C, Hutchinson WF, Wills DPM, Shipley P. MICRO-CHECKER: software for identifying and correcting genotyping errors in microsatellite data. Mol Ecol Notes. 2004; 4: 535–538.
  42. 42. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics. 2000; 155: 945–959. pmid:10835412
  43. 43. Earl DA, vonHoldt BM. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method. Conservation Genet Resour. 2012; 4: 359.
  44. 44. Vähä J-P, Primmer CR. Efficiency of model-based Bayesian methods for detecting hybrid individuals under different hybridization scenarios and with different numbers of loci. Mol Ecol. 2006; 15: 63–72. pmid:16367830
  45. 45. Anderson EC, Thompson EA. A model-based method for identifying species hybrids using multilocus genetic data. Genetics. 2002; 160: 1217–1229. pmid:11901135
  46. 46. van Dongen WFD, Vásquez RA, Winkler H. The use of microsatellite loci for accurate hybrid detection in a recent contact zone between an endangered and a recently-arrived hummingbird. J Ornithol. 2012; 153: 585–592.
  47. 47. Nielsen EE, Bach LA, Kotlicki P. HYBRIDLAB (version 1.0): a program for generating simulated hybrids from population samples. Mol Ecol Notes. 2006; 6: 971–973.
  48. 48. R Core Team. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2018.
  49. 49. Hosoya K. Acheilognathinae. In: Nakabo T, editor. Fishes of Japan with pictorial keys to the species 3rd ed. Tokai University Press: Tokyo; 2013. pp. 310–316.
  50. 50. Rohlf FJ. tpsDig2 version 2.32. Department of Ecology and Evolution, State University of New York at Stony Brook 2016 [cited 2018 15 October]. Available from: http://life.bio.sunysb.edu/morph/index.html.
  51. 51. Klingenberg CP. MorphoJ: an integrated software package for geometric morphometrics. Mol Ecol Resour. 2011; 11: 353–357. pmid:21429143
  52. 52. Nagata Y, Nakata Y. Distribution of six species of bitterlings in a creek in Fukuoka Prefecture, Japan. Ichthyol Res. 1988; 35: 320–331.
  53. 53. Leavy TR, Bonner TH. Relationships among swimming ability, current velocity association, and morphology for freshwater lotic fishes. N Am J Fish Manag. 2009; 29: 72–83.
  54. 54. Toscano BJ, Pulcini D, Hayden B, Russo T, Kelly-Quinn M, Mariani S. An ecomorphological framework for the coexistence of two cyprinid fish and their hybrids in a novel environment. Biol J Linnean Soc. 2010; 99: 768–783.
  55. 55. Fukuhara S, Maekawa W, Nagata Y. Comparison of utilization of freshwater mussels for deposition of the bitterlings in three creeks of Northwest Kyushu. Memoirs of Osaka Kyoiku University Ser III Natural Science and Applied Science. 1998; 47: 27–37.
  56. 56. Smith C, Alex D, Pavel J. Sexual conflict, sexual selection and sperm competition in the spawning decisions of bitterling, Rhodeus sericeus. Behav Ecol Sociobiol. 2002; 51: 433–439.
  57. 57. Kanoh Y. Pre-oviposition ejaculation in externally fertilizing fish: How sneaker male rose bitterlings contrive to mate. Ethology. 1996; 102: 883–899.
  58. 58. Mills SC, Reynolds JD. Operational sex ratio and alternative reproductive behaviours in the European bitterling, Rhodeus sericeus. Behav Ecol Sociobiol. 2003; 54: 98–104.
  59. 59. Nagata Y. The effect of social organization of the bitterling,Rhodeus ocellatus (Kner) and the conditon of a bivalve, Anodonta woodiana Lea in a small pond on the number of fish eggs being laid in a bivalve. Memoirs of Osaka Kyoiku University Ser III, Natural science and applied science. 1985; 34: 9–26.
  60. 60. Reichard M, Jurajda P, Smith C. Male-male interference competition decreases spawning rate in the European bitterling (Rhodeus sericeus). Behav Ecol Sociobiol. 2004; 56: 34–41.
  61. 61. Taborsky M. Sneakers, satellites, and helpers: Parasitic and cooperative behavior in fish reproduction. Adv Study Behav. 2004; 23: 1–100.
  62. 62. Abell R, Allan JD, Lehner B. Unlocking the potential of protected areas for freshwaters. Biol Conserv. 2007; 134: 48–63.
  63. 63. Mukai T, Onikura N, Yodo T, Senou H. Domestic alien fishes: Hidden threats to biodiversity. Tokai University Press: Kanagawa, Japan; 2013.
  64. 64. Watanabe K, Mori S. The challenges of freshwater fish conservation: Concepts and practice for restoration of aquatic biodiversity. Tokai University Press: Kanagawa, Japan; 2016.
  65. 65. Haag WR. North American freshwater mussels: natural history, ecology, and conservation. Cambridge University Press: NY; 2012.