Research Article
Research Article
First insights into the molecular population structure and origins of the invasive Chinese sleeper, Perccottus glenii, in Europe
expand article infoJoanna Grabowska, Yuriy Kvach§|, Tomasz Rewicz, Mihails Pupins#, Iuliia Kutsokon¤, Ihor Dykyy«, Laszlo Antal», Grzegorz Zięba, Vytautas Rakauskas˄, Teodora Trichkova˅, Andris Čeirāns#, Michał Grabowski
‡ University of Lodz, Łódź, Poland
§ Institute of Marine Biology of the NAS of Ukraine, Odessa, Ukraine
| nstitute of Vertebrate Biology of the CAS, Brno, Czech Republic
¶ University of Guelph, Guelph, Canada
# Daugavpils University, Daugavpils, Latvia
¤ National Academy of Science of Ukraine, Kyiv, Ukraine
« Ivan Franko National University of Lviv, Lviv, Ukraine
» University of Debrecen, Debrecen, Hungary
˄ Laboratory of Fish Ecology, Vilnius, Lithuania
˅ Institute of Biodiversity and Ecosystem Research, Bulgarian Academy of Sciences, Sofia, Bulgaria
Open Access


The aim of our study was to provide a first overview of the population genetic structure of the invasive Chinese sleeper, Perccottus glenii, (Actinopterygii: Odontobutidae) in European water bodies. This species originates from inland waters of north-eastern China, northern North Korea and the Russian Far East. The 1172 bp long portion of the cytochrome b gene was sequenced from Chinese sleeper specimens collected from a variety of water bodies in Belarus, Bulgaria, Hungary, Germany, Latvia, Lithuania, Poland, Russia (European part) and Ukraine. Our study revealed that the invasive Chinese sleeper in Europe consists of at least three distinct haplogroups that may represent independent introduction events from different parts of its native area; i.e. three founding populations: (1) Baltic haplogroup that may originate either from fish introduced inadvertent from Russia or from some unidentified source (release by aquarists). So far, this haplogroup has been found only in the Daugava basin in Latvia. (2) East-European haplogroup that may originate from an unintentional introduction to the Volga basin in Russia and has expanded westward. So far, this group was recorded in the Volga, Upper Dnieper and Neman drainages in Belarus, Lithuania, and Russia. (3) Carpathian haplogroup, that originated from individuals unintentionally introduced with Asian cyprinid fishes to Lviv region in Ukraine and are now widely distributed in Central Europe.


Amur sleeper, exotic fish, invasion pathways, phylogeography


Inland fisheries and fish farming are commercially important activities in many countries, but the associated risk management (such as quarantine control) is usually less rigid than is the case with other taxa (Copp et al. 2005). With increasing globalisation, the number of fish introductions has increased in recent decades, posing ecological and evolutionary threats to biodiversity (Hulme 2009; Vitule et al. 2009; Gozlan et al. 2010; Cucherousset and Olden 2011). The negative influence of alien species on endemic fauna includes predation, food and spatial competition, hybridization, the spread of parasites and pathogens, and modification of food chains (Leunda 2010; Cucherousset and Olden 2011).

The Chinese sleeper, Perccottus glenii Dybowski, 1877, formerly known as the Amur sleeper, is a successful alien freshwater fish species in European waters, with a high invasive potential (Negring and Steinhof 2015; European Commission 2016). Since its introduction at the beginning of the 20th century, the species has continuously expanded its invasive range in Eurasia (Reshetnikov 2010, 2013; Reshetnikov and Ficetola 2011). The native range of the Chinese sleeper encompasses inland waters of north-eastern China, northern North Korea and the Russian Far East, including the middle and lower stretches of the River Amur with the tributaries Zeya, Sungari, Ussuri as well as the Lake Khanka basin and drainages of the rivers Gou, Liaohe, Never, and Yalu (China, North Korea) (Mori 1936; Bogutskaya and Naseka 2002; Miller and Vasil’eva 2003; Kottelat and Freyhof 2007; Bogutskaya et al. 2008; Reshetnikov 2010). Some introduction events appear noteworthy in the history of the Chinese sleeper invasion in Europe. Specimens were first transported to Saint Petersburg from the River Zeya (Russian Far East) in 1912 (Kuderskiy 1982) by a scientific expedition as ornamental fish and subsequently kept in an aquarium (Nabatov 1914). In 1916 four individuals were released into a garden pond (Fig. 1A), where they founded a population that was reported to eradicate the entire local fish fauna (Dmitriev 1971). During the 1920s, the Chinese sleeper invaded many water bodies around Saint Petersburg (Kuderskiy 1982) and in the 1950s it was recorded in the shallow waters of the Gulf of Finland in the Baltic Sea (Dmitriev 1971).

Another introduction took place in 1950, when ichthyologists from Moscow State University and the Polar Institute of Marine Fisheries and Oceanography (PINRO) transported fish from the Amur River and released them into the Tarakanov and Ostankino ponds in Moscow (Reshetnikov 2004; Reshetnikov and Ficetola 2011) (Fig. 1A). A further invasion of Chinese sleeper is associated with the increasing popularity of Asian cyprinid cultivation in the former Soviet Union from the 1950s to the 1970s. During that time, Chinese sleepers were reported several times from fish ponds after inadvertent introduction with commercial cyprinids. The introductions have facilitated further invasion by active and passive dispersal (Reshetnikov 2010; Reshetnikov and Ficetola 2011).

The history of the Central European population of Chinese sleeper started in 1972, when it was found in the Velykyi Lubin fish farm (River Dniester basin) near Lviv, Ukraine (Fedoniuk 2005; Reshetnikov 2013; Kutsokon 2017) (Fig. 1A). According to Reshetnikov (2013), this was the most probable secondary source of the invasion to several other countries in Central Europe, given that it was subsequently reported from Poland in 1993 (Antychowicz 1994), Hungary in 1997 (Harka 1998), Slovakia in 1998 (Koščo et al. 1999), Bulgaria in 2003 (Jurajda et al. 2006), Romania in 2005 (Popa et al. 2006), and Germany in 2009 (Reshetnikov and Schliewen 2013; Nehring and Steinhof 2015).

Figure 1.

A history of the expansion of the Chinese sleeper in Europe (the earliest introduction is indicated and highlighted in white) in relation to the location of sampling sites (sites in close geographic proximity pooled for demographic analyses and assigned the same number) B distribution and proportional abundance of Chinese sleeper cytochrome b haplogroups in the study area. Haplogroup I (yellow), haplogroup II (red), haplogroup III (subgroup IIIa – green; subgroup IIIb – blue).

In the invaded areas, Chinese sleepers are locally abundant, especially in small, stagnant and eutrophic water bodies that are overgrown with vegetation, such as oxbow lakes, floodplain pools, bogs and ponds, both natural and artificial (Koščo et al. 2003; Grabowska et al. 2011; Reshetnikov 2013; Rechulicz et al. 2015). They appear to avoid running waters, though they may temporally occur in flowing water or occupy habitats that provide shelter from the current. Their invasion of new localities still continues, via both active and passive dispersal (Reshetnikov 2013). Human activity, such as fish cultivation, is considered one of the primary reasons for accidental introduction of the Chinese sleeper to geographically distant locations (Reshetnikov 2013). Given that the species is still treated as both an ornamental and baitfish, another suspected human-mediated explanation for its dispersal is a release by aquarists and anglers (Reshetnikov 2013; Rakauskas et al. 2016b). Anthropogenic introductions have facilitated further expansion via natural mechanisms, particularly through drainage ditches, streams and rivers that seem to serve as invasion highways at river drainage scale (Reshetnikov 2013). The Chinese sleeper is capable of depleting the diversity of macroinvertebrates, amphibians, reptiles, and fishes (Koščo et al. 2008; Grabowska et al. 2009, 2019; Pupins and Pupina 2012, 2018; Reshetnikov, 2013; Rakauskas et al. 2016a), making it a serious threat to European freshwater ecosystems. In consequence, it was included in the invasive alien species list of European Union concern (European Commission 2016).

The genetic diversity and population structure of the Chinese sleeper are poorly known, though data were recently collected for part of its native range in China in the River Amur and Liaohe basins (Xu et al. 2013, 2014). These data showed the presence of three Chinese sleeper lineages that supposedly diverged during the Pleistocene; two of them were sympatric in both basins, while the third was restricted to the Amur basin. In its native range, the Chinese sleeper was characterised by a high degree of genetic structure among populations, which can be attributed to its limited dispersal (Xu et al. 2014). So far, with the exception of a single ambiguous study on a population from the River Siret in Romania (Luca et al. 2014), there have been no attempts to reveal the genetic structure and possible origins of the Chinese sleeper populations in its invasive range.

Our study is the first to address this gap in understanding about such a widespread and important invasive species, and is based on samples collected from almost all European countries that currently support populations of the Chinese sleeper. Our aim is to provide a better understanding of the dynamics, pathways, and vectors of the expansion of the Chinese sleeper in Europe. In particular we aimed to: 1) test whether the invasive population of the Chinese Sleeper in Central Europe comes from one or several introduction events and their sources; 2) detect, on the basis of already published data, the source of European populations in its native range; 3) verify whether, as suggested by the literature, Ukraine is the location of the initial introduction and a donor for subsequent expansion into Central Europe; 4) discuss the pathways and vectors that could play a role in driving the expansion of the Chinese sleeper in Europe and shaping its genetic structure.

Materials and methods

DNA extraction, amplification, sequencing, and dataset assemblage

Total DNA was extracted from 261 individuals collected on 26 sampling sites in Central (Germany, Poland, Hungary) and Eastern Europe (Latvia, Lithuania, Belarus, Ukraine, Russia and Bulgaria) (Fig. 1A, B, Table 1), from a piece of a fin tissue, with the Chelex (Casquet et al. 2012) or standard phenol-chloroform (Hillis et al. 1996) procedures. The ca. 1200 bp long fragment of cytochrome b (cyt b) gene was amplified using the primer pair Glu-2 and Pro-R1 and reaction conditions of Hardman and Page (2003). The PCR products (5 µl) were cleaned with Exonuclease I (2 U, EURx Ltd., Gdańsk, Poland) and alkaline phosphatase Fast Polar-BAP (1 U, EURx Ltd., Gdańsk, Poland) treatment, according to the manufacturer’s guidelines, and sent for sequencing in both directions to Macrogen Europe (Amsterdam, the Netherlands). The identity of the obtained sequences was verified using BLAST (Altschul et al. 1990). Sequences were edited, aligned and trimmed to 1172 bp using Geneious 10.2.6 (Kearse et al. 2012). In the case of six individuals, the chromatograms contained double peaks. These double peaks were confirmed by sequencing both DNA strands (5’ to 3’ and 3’ to 5’). Un-phasing of such sites in order to define the actual haplotypes was completed in DnaSP v5 (Librado and Rozas 2009). The sequences of the resulting haplotypes were translated into amino acid sequences using Geneious 10.2.6 to check for the presence of stop codons that could identify them as NUMT-pseudogenes. No such cases were found and we assumed that they represented fully functional versions of the mitochondrial COI genes. All the sequences were deposited in GenBank under accession numbers (MN555819MN556085). The DNA sequences containing relevant voucher information were deposited in the online database of the Barcode of Life Data Systems (BOLD) (Ratnasingham and Hebert 2007) accessible through the public data set “PEGLE” ( All specimens were deposited in the permanent collection of the Department of Invertebrate Zoology and Hydrobiology, University of Lodz, Poland. Having no possibility to validate the tentative heteroplasmy by repeating DNA extractions from the samples in question, we have excluded the sequences MN555836, MN555846, MN555858, MN555862, MN555864, MN555959, MN556020, MN556038, MN556052, MN556058, MN556059, MN556064 from subsequent analyses. Hence, the final dataset was composed of 255 cytochrome b sequences.

Table 1.

Sampling sites of Chinese sleeper. Localities geographically very close (ca. 20 km distance) to each other were pooled to simplify the demographic analyses. They were given the same site number.

Site Code Country Latitude / Longitude Date Drainage Locality No. of individuals No. of sequences
1 RUS1 Russia 48.7953, 44.5641 2018 Volga Volgograd 10 10
2 LAT1 Latvia 55.8348, 26.4843 2017 Daugava Daugavpils city 10 10
3 LAT2 Latvia 56.9772, 24.2409 2017 Daugava Riga city 9 9
4A LT1 Lithuania 54.7835, 24.8125 2019 Nemunas Neris River drainage 9 9
4B LT2 Lithuania 54.8430, 25.3406 2019 Nemunas Neris River drainage 4 4
5 BLR1 Belarus 53.9329, 27.6398 2017 Dnieper Minsk 10 10
6 BLR2 Belarus 52.0994, 29.4222 2017 Dnieper Syrod – Gomel oblast 12 12
7 BLR3 Belarus 53.9621, 30.1924 2017 Dnieper Mogilev oblast 9 9
8 PL1 Poland 52.5459, 19.5659 2018 Vistula Wloclawski Reservoir 13 13
9 PL2 Poland 52.3356, 20.9142 2018 Vistula Łomianki 12 12
10 PL3 Poland 51.8206, 21.2942 2018 Vistula Pilica River, Zagroby 11 12
11 PL4 Poland 51.3843, 21.3227 2018 Vistula Niemianowice 11 11
12 PL5 Poland 50.8569, 24.1415 2018 Vistula Western Bug Zosin 3 3
12 PL6 Poland 50.5376, 23.7342 2018 Vistula Western Bug Nadolce 3 3
13 PL7 Poland 51.0663, 21.8140 2018 Vistula Łopoczno 10 10
14 GER1 Germany 49.2630, 12.1096 2015 Danube Kranzloh fish pond 7 7
14 GER2 Germany 49.2647, 12.1298 2015 Danube Torngrube 7 7
15 UA1 Ukraine 49.2158, 28.4578 2016 Southern Bug Vinnytsia 1 1
15 UA3 Ukraine 49.2158, 28.4578 2018 Southern Bug Vinnytsia region 3 3
16 UA2 Ukraine 51.0528, 31.9069 2018 Dnieper Desna River Nizhyn 7 7
17 UA4 Ukraine 51.5041, 31.2943 2016 Dnieper Desna River Chernihiv 2 2
18 UA5 Ukraine 50.2070, 28.6420 2016 Dnieper Teteriv River, Huiva 1 1
18 UA11 Ukraine 50.5103, 29.3078 2018 Dnieper Bereztsi 6 7
19 UA6 Ukraine 49.3827, 24.0204 2017 Dniester River Kuna basin, 3 3
Lviv oblast
19 UA7 Ukraine 49.8483, 24.0521 2017 Dniester Lviv oblast 4 4
19 UA18 Ukraine 49.8001, 24.0164 2018 Dniester Stryiska Pond, Lviv 11 11
20 UA8 Ukraine 49.3395, 31.5156 2016 Dnieper Dnipro, Mliiv 1 1
20 UA9 Ukraine 50.3511, 30.4557 2018 Dnieper Novosilky – pond 3 3
21 UA10 Ukraine 50.6673, 27.6121 2018 Dnieper Chyzhivka 11 15
22 UA12 Ukraine 51.5774, 23.8628 2018 Vistula/Dnieper Shatsk Lakes, Canal in Zatyshshia 6 6
22 UA13 Ukraine 51.5543, 23.9179 2018 Vistula/Dnieper Shatsk Lakes, 4 4
Canal in Melnyky
22 UA14 Ukraine 51.5488, 23.9221 2018 Vistula/Dnieper Shatsk Lakes, 1 1
Melnyky Pond
22 UA15 Ukraine 51.5270, 23.8527 2018 Vistula/Dnieper Shatsk Lakes, Canal in Illichivka, 2 2
22 UA17 Ukraine 51.5774, 23.8628 2018 Vistula/Dnieper Shatsk Lakes, Canal in Zatyshshia 5 5
23 BUL1 Bulgaria 44.0267, 26.5170 2015 Danube Kalimok 8 8
24 H1 Hungary 48.0953, 21.4629 2018 Danube Rakamaz oxbow lake, Tiszanagyfalu 12 12
25 H2 Hungary 46.6939, 17.2373 2018 Danube Canal in Kis-Balaton reservoir, Fenékpuszta 9 9
26 H3 Hungary 46.5063, 19.0531 2018 Danube Maloméri main canal, Homokmégy 11 11

Analysis of molecular data

Haplotypes within the cytochrome b dataset as well diversity statistics; i.e. the number of haplotypes (k), haplotypic diversity (h) and nucleotide diversity (Pi) (Nei 1987), were obtained using the DnaSP v5 software (Librado and Rozas 2009).

The demographic status of European populations of Chinese sleeper was examined in Arlequin 3.5 (Excoffier and Lischer 2010). We assessed current demographic status with mismatch distribution, supplemented with selective neutrality tests; i.e. Tajima’s D (Tajima 1989) and Fu’s FS (Fu 1997) as indicators of population expansion. The genetic connectivity between different sampling sites was tested with the FST estimator (Weir and Hill 2002) in Arlequin 3.5, using default software set-ups. Analysis of molecular variance (AMOVA; Excoffier et al. 1992), with two schemes, was applied to reveal whether and how the European population of Chinese sleeper is spatially structured. In the first scheme, countries were used as the basic grouping factor for sampling sites, assuming that they may represent different and independent introduction events. In the second scheme, sampling sites were grouped according to river drainages (Table 1). As some localities were geographically close (ca. 20 km distance), we pooled them with the closest sampling site to increase the number of individuals per site and to simplify the analysis.

The relationships among the Chinese sleeper haplotypes identified during this study were analysed and graphically presented as a median-joining network with the aid of PopART 1.7 (Bandelt et al. 1999). Additionally, the phylogenetic position of these haplotypes in regards to the clades found within the native population of Chinese sleeper from China in the study by Xu et al. (2013, 2014) was reconstructed using the Maximum Likelihood approach (ML), with 1,000 bootstrap replicates, in MEGA X (Kumar et al. 2018). The HKY+G (Hasegawa-Kishino-Yano, Gamma distribution) (Hasegawa et al. 1985) was chosen, in the same software, as the best fitting substitution model. The cytochrome b sequences of Odontobutis obscura (AB021243), Odontobutis potamophila (AY722247) and Odontobutis platycephala (DQ010651) from GenBank (Benson et al. 2005), were used as an outgroup.


The 1172 bp long portion of cytochrome b gene was sequenced from 261 Chinese sleeper individuals collected from a variety of water bodies in Belarus, Bulgaria, Hungary, Germany, Latvia, Lithuania, Poland, Russia (European part) and Ukraine (Table 1, Suppl. material 1: Table S1). We obtained 267 sequences, since six of the sequenced fish revealed double cytochrome b sequences. The latter included five individuals from Ukraine (4 ind. from site 19, 1 ind. from site 20), as well as one individual from Poland (site 10), but were excluded from our dataset. As a result, the dataset contained 255 sequences with 45 variable sites and no indels. The nucleotide diversity per site (Pi) was 0.007 (SD: 0.001), while the average number of nucleotide differences (k) was 7.9. The number of haplotypes (h) defined in our dataset equalled 22 with the haplotype diversity (Hd) of 0.685 (SD: 0.018).

A Median-Joining network revealed that the haplotypes identified in our dataset formed three major groups, with partially disjunct geographic distributions (Figs 1B, 2). Haplogroup I consisted of three haplotypes only and was found exclusively in Latvia. Haplogroup II consisted of five haplotypes. Its topology was star-like with the central, most abundant, haplotype 2. This haplogroup was found only in the eastern part of the studied region, namely in eastern Lithuania, Latvia and Belarus as well as in northern Ukraine. Haplogroup III included as many as eleven haplotypes and had a more complex, partially star-like and partially reticulate topology. Haplotypes 4 and 5 were the most abundant. This haplogroup might be further divided into two subgroups; i.e. subgroup IIIa centred around haplotype 5, and subgroup IIIb centred around haplotype 4. Subgroup IIIa was present in southern Ukraine and, together with subgroup IIIb, at one site in Belarus. Subgroup IIIb prevailed in western Ukraine. Both subgroups were found in Poland, Bulgaria and Hungary, while only subgroup IIIa was found in the sampled sites in Germany.

Figure 2.

Median-Joining network showing phylogenetic relationships among Chinese sleeper cytochrome b haplotypes identified in our study and those (in grey) reported by Xu et al. (2014) from the native range in China. Circle size is proportional to the number of individuals with a given haplotype (see open circles with numbers).

Mismatch distribution analysis, accompanied by Tajima’s D and Fu’s FS neutrality tests (Table 2), rejected a model of recent demographic expansion for the European population of Chinese sleeper. However, the spatial expansion model could not be dismissed.

Analysis of Molecular Variance (Table 3) showed that 44.9% of the observed genetic variation may be explained by partitioning the dataset according to country of sample origin. The remaining 55.1% of variation in our dataset can be attributed to differences between the sampling sites (30.8%) and the variation within them (24.3%). Partitioning the dataset by river basin explained only 39.5% of the observed variation, while 36.1% of the variation could be accounted for by differentiation among sites.

Table 2.

Results of mismatch distribution analysis and Tajima’s D and Fu’s FS neutrality tests for Chinese sleeper.

Demographic expansion Spatial expansion
SSD* 0.5771 0.0844
SSD P -value 0.0000 0.2300
Raggedness index 0.2354 0.2354
Raggedness P-value 1.0000 0.4300
Tajima’s D 0.2036
Tajima’s D P -value 0.6710
Fu’s FS 4.4171
Fu’s FS P -value 0.8810
Table 3.

Results of AMOVA for Chinese sleeper.

Source of variation d.f. Sum of squares Variance components Variance [%] Fixation Indices
Sampling sites grouped according to countries
Among groups 8 534.85 1.94 Va 44.87 FSC: 0.56
Among populations within groups 17 225.37 1.33 Vb 30.84 FST: 0.76
Within populations 229 240.03 1.05 Vc 24.29 FCT: 0.45
Total 254 1000.24 4.31
Sampling sites grouped according to river basins
Among groups 8 506.99 1.69 Va 39.46 FSC: 0.60
Among populations within groups 17 253.23 1.55 Vb 36.10 FST: 0.76
Within populations 229 240.03 1.05 Vc 24.44 FCT: 0.40
Total 254 1000.24 4.29

The FST coefficient values (0.00–0.99) suggested extremely varied levels of genetic connectivity among sampling sites (Fig. 3, Suppl. material 2: Table S2). All sampled populations from Russia (site 1), Latvia (sites 2 and 3), Lithuania (site 4), two from Belarus (sites 5 and 6) and one from Ukraine (site 20) formed a group that was relatively isolated from all other populations, while a high level of genetic connectivity is retained within this group. A population from Germany (site 14), one from Ukraine (site 15), and two from Hungary (site 25 and 26) appeared to have no connectivity with populations from other areas. However, this finding may be related to a highly uneven sample size between some of these localities. In contrast, the remaining populations can be characterized by relatively high or moderate levels of genetic connectivity.

Phylogenetic reconstruction of relationships among the haplotypes observed in our dataset and those defined by Xu et al. (2014) in populations of Chinese sleeper from the Liaohe and Amur River basins in north-eastern China revealed that our haplogroups I and III can be attributed to Xu et al. (2014) clades A and B, respectively (Fig. 4). However, none of the haplotypes in our dataset is identical to any haplotype from Xu et al. (2014). Haplogroup II formed a separate clade, more closely related to clades B and C than to clade A (as defined by Xu et al. 2014).

Figure 3.

Population connectivity illustrated by a matrix of pairwise FST values (see also Table S2). White dots indicate FST P values significantly different from zero (P <0.05). Sites in close geographic proximity pooled for demographic analyses and assigned the same number.

Figure 4.

Maximum Likelihood tree showing the relationships of cytochrome b haplotypes identified in our study with the haplotypes from the native area in China (Xu et al. 2013, 2014). Numbers at each node are bootstrap probabilities based on 1000 replications; shown only when they are 70% or higher. Outgroup not shown.


Our study revealed that the invasive Chinese sleeper in Europe consists of at least three distinct haplogroups that may represent independent introduction events from different parts of its native range. Haplogroup I, henceforth termed “Baltic”, was found only in Latvia (Fig. 1B) in natural stagnant waters in the River Daugava drainage (Baltic Sea basin). In the native range of the Chinese sleeper, this haplogroup occurs in China in the Liaohe drainage and in the River Argun (left tributary of the River Amur) (Xu et al. 2014).

The first records of the Chinese sleeper in Latvia come from small natural ponds in the city centre of Daugavpils (Fig. 1A), that are not connected with any river system (Pupina et al. 2015). It was unknown how the species was introduced there but the population may have arisen from releases by local aquarists or fishermen (Plikšs and Aleksejevs 1998). Further investigation confirmed several sources of anthropogenic introductions in Latvia, including releases by aquarists and by anglers using them as a live bait, as well as through intentional stocking to control the density of Carassius sp. or as a prey for northern pike, Esox lucius, Linnaeus, 1758 (Pupiņš and Čeirāns, unpublished data). In addition, several Latvian websites currently offer sexually mature Chinese sleeper for purchase to stock ponds (Pupina et al. 2015; Pupiņš and Čeirāns, unpublished data). This information, combined with an absence of local haplotypes in any other population from the invasive range, strongly suggest that aquarist and angler releases of specimens translocated directly from China is possible, particularly when taking into account that China is a known exporter of ornamental pet species collected in the wild (Nijman 2010).

Another possibility is that the Chinese sleeper population in Latvia derives from a much earlier release by aquarists in Saint Petersburg in 1916 (Kuderskiy 1982), which would explain the coexistence of haplogroup I with haplogroup II that is distributed primarily in northern Europe (Fig. 1B). Unfortunately, we have no access to comparative material from that location to verify this scenario.

Haplogroup II was recorded in Lithuania (the River Neman drainage), Latvia (the River Daugava drainage), Belarus and northern Ukraine (the River Dnieper drainage) (Fig. 1B). It has not been found in any of the earlier studied Chinese populations (Xu et al. 2014). Considering the distribution of this group of haplotypes, mainly in the northern, and possibly eastern, part of its invasive range, we cannot discount the possibility that it may also be associated with the first introduction to Saint Petersburg at the beginning of the 20th century (Fig. 1A). These first individuals came from the River Zeya that is a left tributary of the River Amur and runs through the Russian Far East, but not through China (Kuderskiy 1982). Unfortunately, there is no information about the genetic structure of the Chinese sleeper from that part of its native range to indicate it as a possible source for haplotype group II.

According to the literature, after rapidly spreading in the vicinity of Saint Petersburg, most probably due to active dispersal, the species was soon found in several new locations (Kuderskiy 1982). In Lithuania, the Chinese sleeper was first recorded in Lake Bevardis in 1985 (Virbickas 2000) (Fig. 1A). Its occurrence in coastal waters of the Gulf of Finland of the Baltic Sea (Dmitriev 1971) could allow migration in the oligohaline waters along the south-eastern Baltic coast, entering other river systems and forming secondary sources for the invasion in inland waters. However, during its initial phase of expansion in Lithuania, the Chinese sleeper was only recorded in small ponds and oxbows and not in the River Neman, so an inland expansion along the Baltic coast was probably though human releases. Only later did it spread inland via the basins of the Rivers Neman and Daugava. This scenario could explain the co-occurrence of the haplogroup II with haplogroup I in the two sampling sites in Latvia, which are located in the Daugava basin. The Chinese sleeper has been reported from the River Neman in Belarus since 2007 (Semenchenko et al. 2009) (Fig. 1A), and in 2009 it was found in the Belarusian part of the River Daugava (Lukina 2011). The spread of the Chinese sleeper in this north-eastern part of its invasive range is consistent with the distribution of haplogroup II (Fig. 1B).

Moreover, the population from the lower River Volga drainage, the only sample we obtained from Russia, also belongs to haplogroup II (Fig. 1B). The first reports of Chinese sleeper from this part of Russia come from 1970–1971, when the Chinese sleeper was accidentally inadvertently introduced with common carp, Cyprinus carpio Linnaeus, 1758, from the River Amur basin to the Ilev fish farm in Nizhniy Novgorod province (Fig. 1A), Volga basin, Russia (Kuderskiy 1980).

Haplogroup III was common in Ukraine and the only haplogroup found in Poland, Hungary, Bulgaria and Germany (Fig. 1B). It was also found in one locality in Belarus (the River Dnieper) (Fig. 1B). The distribution of this haplogroup strictly overlaps with the distribution of the so-called “Carpathian population” as defined by Kvach et al. (2016b), with which it is apparently identical. Thus, we retain the designation “Carpathian” for this haplogroup. It supports the proposition that the fish farm near Lviv in Ukraine, where the Chinese sleeper was first recorded in 1972 (Fedoniuk 2005) (Fig. 1B), could be the source population for many further introductions and subsequent dispersal through Central Europe (Reshetnikov 2013; Kutsokon 2017). The Chinese sleeper was introduced unintentionally to the Lviv region, Western Ukraine, during stocking of commercial fish, juvenile silver carp, Hypophthalmichthys molitrix (Valenciennes, 1844), at the end of the 1960s (Reshetnikov 2013). The source of this introduction is unknown, but it could have been translocated directly from China or from other fish farms where Asian cyprinids were cultivated, such as those in Uzbekistan or Kazakhstan.

This scenario is not unlikely, as in 1958, the Chinese sleeper was introduced together with juvenile silver carp and grass carp, Ctenopharyngodon idella (Valenciennes, 1844), from Harbin (China) to the Almaty fish farm in Kazakhstan (Seleznev 1974). In 1961 it was probably transported from China to Akkurgan fish farm (River Syr Darya basin) in Uzbekistan (Borisova 1972). Haplogroup III is widely distributed in the native range of the Chinese sleeper in the northern China (Xu et al. 2014). It occurs in the River Hun (a tributary of the Liaohe) and in rivers of the River Amur system; i.e. Songhua, Argun, Nenjiang and Middle Amur, bordering Russia. It is also present in an area close to Harbin (China), mentioned as a source from which the Chinese sleeper was collected for stocking in Kazakhstan in the 1960s. Thus, although these historical explanations for the Chinese sleeper in Uzbekistan and Kazakhstan have recently been questioned by Reshetnikov (2010), the results of our molecular studies do not exclude such a scenario for the origin of the population in Ukraine.

The later expansion of the species from Ukraine was both passive as an outcome of stocking cultivated Asian cyprinids in ponds, as well as active dispersal through aquatic networks. The Chinese sleeper was transported with silver carp to Transcarpathia, where it was first reported in the River Latorica in 1995 (Syvokhop 1998). Another route was along the River Tisza basin where it was reported in Hungary in 1997 (Harka 1998) (Fig. 1A) and in Slovakia in 1998 (Koščo et al. 1999). It expanded down the River Danube, facilitated by flooding, and was first observed in both the Bulgarian (Jurajda et al. 2006) (Fig. 1A) and Romanian section of the Danube in 2005 (Popa et al. 2006). The westernmost population of the Chinese sleeper in the Danube basin was recorded in 2009 in extensive enclosed fish ponds located in the River Naab basin, Bavaria, Germany (Reshetnikov and Schliewen 2013; Nehring and Steinhof 2015) (Fig. 1A). For decades, these ponds have been used extensively for fish production (Reshetnikov and Schliewen 2013). Reshetnikov and Schliewen (2013) assumed that the Chinese sleeper was accidentally introduced into these fish ponds with commercial fish transportation. We found only one haplotype (H5) in this population, which is the second most common and widespread in Central Europe, including Ukraine and Hungary.

In Ukraine the Carpathian population of the Chinese sleeper has spread through the Dniester basin since 1995 (Korte et al. 1999; Fedoniuk 2005; Moshu and Kiriyak 2011). In the Southern Bug (Boh) basin it has been known since 2009 from Vinnytsia (Kutsokon et al. 2014; Kutsokon 2017). In the Vistula basin, the Chinese sleeper was first reported in 1988, from the River Vyshnia in Ukraine (Movchan 1989) (Fig. 1A). In 1993 it extended its range to the Middle Vistula in Poland (Antychowicz 1994) and reached the Vistula delta in 2000 (Kostrzewa et al. 2004) (Fig. 1A). In 2006 it was found in the Shatsky Lakes in Ukraine, which connect the Vistula and Dnieper basins (Liesnik 2008) (Fig. 1A). The haplotypic composition of the Chinese sleeper population in Poland is the most similar to that in western Ukraine i.e. in the Shatsky Lakes (Fig. 1B). The route and vector of the Chinese sleeper introduction to Poland are unknown but, considering our results, unintended translocation with aquaculture stocking from Ukraine is the most probable, with commercial websites in Poland offering stocking material of carp and other species from Ukraine.

The origin of the Chinese sleeper in the River Dnieper is controversial. It was first reported from the city of Minsk in Belarus in the 1970s (Rizevski et al. 1999) (Fig. 1A). In the River Desna (left Dnieper tributary), in Russia, it was recorded in 1990 (Reshetnikov 2010) (Fig. 1A). In Ukraine (Middle Dnieper basin) it was first reported in 2001 from the vicinity of Kyiv (Sabodash et al. 2002) (Fig. 1A). It subsequently spread south, where it was found in the Dnieper tributaries (Kutsokon 2017). In the Middle Dnieper, only haplogroup IIIa was recorded, the same as in the Southern Bug (Boh) basin (Fig. 1B). This finding corroborates that Chinese sleepers from the Dnieper and Southern Bug form one population with those from the Carpathian region, as previously hypothesized by Kvach et al. (2016b) based on the parasitological studies. We observed a decrease of genetic diversity in the Carpathian population from its presumed source (Lviv region), from where it subsequently colonised other regions (Upper Danube, Middle Vistula, Middle Dnieper, Southern Bug) (Fig. 1B).

Based on demographic analyses, such as the FST and AMOVA, we estimate the genetic connectivity between most of the Chinese sleeper populations to be high, and the molecular diversity in Central Europe showing no clear spatial structure, neither following river basins nor grouping by country. This finding suggests a rather multidirectional spread of the species in Central Europe. Interestingly, we observed a cessation of gene flow among populations from Latvia and elsewhere. This outcome suggests an independent introduction of the Chinese sleeper in Latvia and possible isolation of this population. However, more studies involving nuclear markers are needed to fully resolve this question.

In conclusion, based on the spatial distribution of mitochondrial cytochrome b diversity, we can distinguish three Chinese sleeper haplogroups in Europe, that may represent three discrete introduced populations: (1) A Baltic haplogroup that may originate from fish introduced unintentionally from Russia or from some unidentified vectors, probably releases by aquarists. To date this population was found only in the Daugava basin in Latvia. (2) East-European haplogroup, which possibly originates from an unintentional introduction to the Volga basin in Russia and with subsequent westward expansion. This group has been recorded in the Volga, Upper Dnieper and Neman drainages in Belarus, Lithuania, and Russia. (3) Carpathian haplogroup, originating from individuals inadvertently introduced with Asian cyprinid fishes to the Lviv region in Ukraine, which occurs in the basins of the Rivers Danube, Dnieper and Vistula in Belarus (eastern part), and also in Bulgaria, Germany, Hungary, Poland, and Ukraine.


The work conducted by YK, MP, IK and AC was partly supported by the Joint Ukrainian-Latvian R&D project “The ecological and biological triggers of expansion of the invasive fish, Chinese sleeper (Perccottus glenii), in Eastern Europe”. The work performed by LA was partly supported by the Higher Education Institutional Excellence Programme (NKFIH-1150-6/2019) of the Ministry of Innovation and Technology in Hungary, within the framework of the 4th thematic programme of the University of Debrecen. Laboratory work and molecular analysis was supported by internal funds of the University of Lodz and also partly funded by the National Science Centre, Poland (grant no. 2014/15/B/NZ8/00266). We thank Vasiliy Boldyrev (Volgograd Division of the State Institute of Lake and River Fisheries, Volgograd, Russia) for his help in sampling in the River Volga, Dr Anatoliy Roman (National Museum of Natural History at the National Academy of Sciences of Ukraine, Kyiv, Ukraine) for providing samples from Northern Ukraine, Dr Markéta Ondračková (Institute of Vertebrate Biology of the Czech Academy of Sciences, Brno, Czech Republic) for providing samples from the Upper Danube basin, Dr hab. Jacek Rechulicz for providing samples from Western Bug, and Krisztián Nyeste (University of Debrecen, Department of Hydrobiology, Debrecen, Hungary) for his help with sampling in Hungary. We are grateful to prof. Carl Smith (Faculty of Biology & Environmental Protection, University of Lodz) for language editing of our manuscript.


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Supplementary materials

Supplementary material 1 

Table S1. Table presents Chinese sleeper haplotypes frequency (belonging to three distinguished groups) found in studies sites.

Tomasz Rewicz, Michał Grabowski, Joanna Grabowska

Data type: distribution

This dataset is made available under the Open Database License ( The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
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Supplementary material 2 

Table S2. Values of FST population pairwise.

Tomasz Rewicz

Data type: statistical data

Explanation note: Statistically significant values are shown in bold (P ≤ 0.05).

This dataset is made available under the Open Database License ( The Open Database License (ODbL) is a license agreement intended to allow users to freely share, modify, and use this Dataset while maintaining this same freedom for others, provided that the original source and author(s) are credited.
Download file (16.97 kb)
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