Research Article |
Corresponding author: Joanna Grabowska ( joanna.grabowska@biol.uni.lodz.pl ) Academic editor: Adam Petrusek
© 2020 Joanna Grabowska, Yuriy Kvach, Tomasz Rewicz, Mihails Pupins, Iuliia Kutsokon, Ihor Dykyy, Laszlo Antal, Grzegorz Zięba, Vytautas Rakauskas, Teodora Trichkova, Andris Čeirāns, Michał Grabowski.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Grabowska J, Kvach Yu, Rewicz T, Pupins M, Kutsokon I, Dykyy I, Antal L, Zięba G, Rakauskas V, Trichkova T, Čeirāns A, Grabowski M (2020) First insights into the molecular population structure and origins of the invasive Chinese sleeper, Perccottus glenii, in Europe. NeoBiota 57: 87-107. https://doi.org/10.3897/neobiota.57.48958
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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 (
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;
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 (
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 (
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 (
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 (
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.
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.
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 |
Haplotypes within the cytochrome b dataset as well diversity statistics; i.e. the number of haplotypes (k), haplotypic diversity (h) and nucleotide diversity (Pi) (
The demographic status of European populations of Chinese sleeper was examined in Arlequin 3.5 (
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 (
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
A Median-Joining network revealed that the haplotypes identified in our dataset formed three major groups, with partially disjunct geographic distributions (Figs
Median-Joining network showing phylogenetic relationships among Chinese sleeper cytochrome b haplotypes identified in our study and those (in grey) reported by
Mismatch distribution analysis, accompanied by Tajima’s D and Fu’s FS neutrality tests (Table
Analysis of Molecular Variance (Table
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 |
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.
Phylogenetic reconstruction of relationships among the haplotypes observed in our dataset and those defined by
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.
Maximum Likelihood tree showing the relationships of cytochrome b haplotypes identified in our study with the haplotypes from the native area in China (
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.
The first records of the Chinese sleeper in Latvia come from small natural ponds in the city centre of Daugavpils (Fig.
Another possibility is that the Chinese sleeper population in Latvia derives from a much earlier release by aquarists in Saint Petersburg in 1916 (
Haplogroup II was recorded in Lithuania (the River Neman drainage), Latvia (the River Daugava drainage), Belarus and northern Ukraine (the River Dnieper drainage) (Fig.
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 (
Moreover, the population from the lower River Volga drainage, the only sample we obtained from Russia, also belongs to haplogroup II (Fig.
Haplogroup III was common in Ukraine and the only haplogroup found in Poland, Hungary, Bulgaria and Germany (Fig.
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 (
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 (
In Ukraine the Carpathian population of the Chinese sleeper has spread through the Dniester basin since 1995 (
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 (
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.
Table S1. Table presents Chinese sleeper haplotypes frequency (belonging to three distinguished groups) found in studies sites.
Data type: distribution
Table S2. Values of FST population pairwise.
Data type: statistical data
Explanation note: Statistically significant values are shown in bold (P ≤ 0.05).