Research Article |
Corresponding author: Gordon H. Copp ( gordon.copp@cefas.co.uk ) Corresponding author: Hannah J. Tidbury ( hannah.tidbury@cefas.co.uk ) Academic editor: Marina Piria
© 2022 James Guilder, Gordon H. Copp, Mark A. Thrush, Nicholas Stinton, Debbie Murphy, Joanna Murray, Hannah J. Tidbury.
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:
Guilder J, Copp GH, Thrush MA, Stinton N, Murphy D, Murray J, Tidbury HJ (2022) Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites. In: Giannetto D, Piria M, Tarkan AS, Zięba G (Eds) Recent advancements in the risk screening of freshwater and terrestrial non-native species. NeoBiota 76: 73-108. https://doi.org/10.3897/neobiota.76.80215
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The aquatic ornamental industry, whilst providing socio-economic benefits, is a known introduction pathway for non-native species, which if invasive, can cause direct impacts to native species and ecosystems and also drive disease emergence by extending the geographic range of associated parasites and pathogens and by facilitating host-switching, spillover and spill-back. Although current UK temperatures are typically below those necessary for the survival and establishment of commonly-traded tropical, and some sub-tropical, non-native ornamental species, the higher water temperatures predicted under climate-change scenarios are likely to increase the probability of survival and establishment. Our study aimed primarily to identify which of the commonly-traded non-native ornamental aquatic species (fish and invertebrates), and their pathogens and parasites, are likely to benefit in terms of survival and establishment in UK waters under predicted future climate conditions. Out of 233 ornamental species identified as traded in the UK, 24 were screened, via literature search, for potential parasites and pathogens (PPPs) due to their increased risk of survival and establishment under climate change. We found a total of 155 PPPs, the majority of which were platyhelminths, viruses and bacteria. While many of the identified PPPs were already known to occur in UK waters, PPPs currently absent from UK waters and with zoonotic potential were also identified. Results are discussed in the context of understanding potential impact, in addition to provision of evidence to inform risk assessment and mitigation approaches.
Alien species, disease emergence, horizon scanning, invasive non-native species, risk screening
The global trade in aquatic ornamental species is extensive, involving over 140 countries (
While the ornamental industry clearly provides economic and social benefits, it is a known pathway for the introduction of non-native species (NNS), pathogens and parasites, which pose a potential threat to aquatic biodiversity if they become invasive (
In recognition of the threat posed by live non-native fishes, legislation that restricts the keeping of live fishes is in place in the UK. Key legislation includes ‘The Prohibition of Keeping or Release of Live Fish (Specified Species) (England) Order 2014’ (and its predecessors in 1998 and 2003) implemented under the ‘Import of Live Fish (England and Wales) Act 1980’, and ‘The Keeping and Introduction of Fish (England and River Esk Catchment Area) Regulations 2015’. These legislative instruments apply primarily (if not exclusively) to freshwater fishes, prohibiting their keeping in England without a licence, with similar powers applying in Wales, Scotland and Northern Ireland. The original 1998 Order listed only species considered to be of concern at that time, with the 2003 Order extending the list to include some additional species. These orders were perhaps the most advanced of their kind in Europe and North America (
Currently, UK temperatures are typically below those necessary for the survival and establishment of the commonly-traded tropical, and some sub-tropical, ornamental fishes (species on the ornamental fish list). However, elevated water temperatures (a 2 °C increase) forecasted by future climate change scenarios are predicted to increase the probability of survival and establishment for some existing fish species (
The aim of our study was to identify commonly-traded non-native (NN) ornamental fishes, crustacea and molluscs at increased risk of survival and establishment in UK waters under elevated temperatures predicted by climate change forecasting. Further, applying the workflow proposed by
Records of commonly imported species, such as packing lists that document details of ornamental species imported via the Heathrow Border Control Post (BCP), were not available for use during this study. Therefore, to identify the NN freshwater ornamental species most commonly-imported into UK, a proxy measure was adopted that combined outputs from three different, but complementary methodologies: expert elicitation, eBay retailer search and Google search.
Expert elicitation involved use of the list, provided by the Ornamental Aquatic Trade Association (OATA; https://ornamentalfish.org/), of ornamental species/genera considered by OATA to be the most commonly traded in the UK (by volume). Further, a short list of those NN ornamental species most likely to establish in UK, i.e. species from warm temperate or sub-tropical climatic zones, was provided by the Fish Health Inspectorate (FHI) for England and Wales.
A list of ornamental live-fish retailers was constructed from an eBay search carried out on 8 October 2020 using the term ‘live fish’. Search results were filtered for NN fishes that fell under the water type categories of ‘fresh’, ‘pond’, ‘all water types’ and ‘not specified’. Species were recorded from all listings between 9 September and 8 October 2020, inclusive. The total number of listings for each NN fish species was used as a proxy measure of trade volume. A separate eBay search using the term ‘live invertebrates’ was carried out on 13 October 2020. Search results were filtered for NN invertebrates that fell under the water type categories of ‘fresh’, ‘pond’, ‘all water types’ and ‘not specified’. Initial results indicated that significantly fewer invertebrate species were listed compared to fish species. Therefore, all NN invertebrate species listings returned by the search, with no restrictions on the date, were recorded. The number of listings per NN invertebrate species was not recorded and species listed multiple times were recorded only once.
A Google search was carried out on 20 October 2020 using the term ‘fish species for cold or unheated aquaria”, and this provided information on popular ornamental fish species likely to be traded in the UK. Although returning primarily temperate species, it also included tropical fish species with wide temperature tolerances, which therefore do not require heated aquaria, e.g. Endler’s livebearer Poecilia wingei Poeser, Kempkes & Isbrücker, 2005, and zebra danio Danio rerio Hamilton, 1822 (
A master list of species’ common and scientific names was developed. If the species scientific name was absent in the eBay listing or on the website/blog, then it was searched for (using the common name) on FishBase (www.fishbase.se/search.php) for all fish species or via a google search for the invertebrate species. Where fishes and invertebrates were not identified to species level, the entry was removed from the master list. Species recorded via any of the methodologies were collated into the single master list (See Suppl. material
The master list was refined by removal of species, based on the following criteria: i) the NN species is present on the ‘garden pond fish list’ or is not present on the ‘ornamental fish’ list under The Prohibition of Keeping or Release of Live Fish (Specified Species) (England) Order 2014; and ii) the NN species is recorded as present within UK waters on the Global Biodiversity Information Facility (GBIF; www.gbif.org). Although climate change may increase the risk of some of these NNS, either increasing their current range or establishing new populations as a result of further introductions, the associated pathogen risk was considered to exist already because the species is already present.
To aid the selection of species for potential pathogen and parasite (PPP) screening, a high-level estimation of climate suitability for each NNS on the master list was undertaken using a species distribution modelling (SDM) approach. Note that the term potential ‘pathogen or parasite’ is used as a catch-all term, given that evidence for pathogenic or parasitic association was not extensively reviewed in the present study and in fact is often unavailable, in particular for novel environments or hosts. The development of SDMs involved selection of temperature variables under the current climate (2020) and, under future climate, represented by an intermediate climate change scenario, the RCP 4.5 scenario, which predicts stabilisation of radiative forcing (
The global distribution for each species on the master list was obtained from the GBIF. The climatic zone classification sub-tropical or temperate and the native continent(s) were determined using FishBase. No equivalent database to FishBase exists for invertebrates, so the native range of each invertebrate species was determined via a Google search, and the climatic zone of each range was then climate classified by matching the invertebrate species with fish species from a similar range. Species classified as subtropical or temperate, or with an occurrence record on the GBIF that was outwith the tropical bands (i.e. between the tropics of Capricorn and Cancer), were selected for further analysis (See Suppl. material
Global climate variables at a spatial resolution of ten arc-minutes were downloaded for the present day from the WorldClim dataset (http://worldclim.org) – these are observed data that have been interpolated from current climatic conditions recorded by weather stations (
Species distribution models (SDMs) were employed for NNS on the refined master list to predict the potential suitability of the UK climate for the NNS with respect to the selected temperature variables, both under current (2020) and future climate conditions (in 2050), as represented by climate change scenario RCP 4.5 (
Ensemble models were built for current climate conditions by using two different machine learning methods (boosted-regression trees and random forests). These models estimated the effects of the selected temperature variables, for the present day, on the distribution of each species within the continent of their native range. As no data were available to evaluate the model predictions independently, data were split at random into training (70%) and test data (30%). This random split of the data was repeated five times. To account for the influence of pseudo-absences on model outputs, five random and independent pseudo-absence sets were generated. In total, 50 model replicates were run (two modelling techniques × five pseudo absences × five split samplings) for each species. A geographical representation of the UK was created by cropping a rectangular area using the drawExtent function, which was split into 3828 ten arc-min grid cells (≈ 340 km2). A suitability score for each species, was predicted for each grid cell using the un-weighted ensemble models, with scores ranging from 0 to 1. A suitability score of 1 indicates that the model predicts the presence of the species in a given location and a score of 0 indicates that the model predicts the absence of the species in that location, based solely on temperature predictors. An overall UK suitability score for each species, for both the present day and under the 2050 scenario, was then calculated by taking the mean of all grid cell suitability scores. Species with a mean suitability score of ≥0.15 in 2050 were selected for parasite/symbiont screening.
Consistent with the framework outlined by
The process undertaken to find information on pathogens, parasites and symbionts associated with each species, with a suitability score of ≥0.15, on PubMed. Only steps one to three were carried out in the present study (adapted from
Step 1 | Search full species name in [All Fields]. If 0, then go to 2, if ≥1, then go to 3 |
Step 2 | Search genus name in [All Fields]. If 0, then decide whether continuing at a higher taxonomic level, is appropriate. If ≥1, go to 4. |
Step 3 | Conduct search using the criteria: (Species name [All Fields]) AND (microbiome[Title/Abstract] OR symbio*[Title/Abstract] OR pathogen*[Title/Abstract] OR parasit*[Title/Abstract] OR protist[Title/Abstract] OR protozoa[Title/Abstract] OR bacteria*[Title/Abstract] OR virus[Title/Abstract] OR host[Title/Abstract] OR reservoir[Title/Abstract] OR vector[Title/Abstract] OR infection [Title/Abstract]) |
Scan papers for pathogen/symbiont reports and IDs and record | |
Step 4 | Conduct search using criteira: (Genus name [All Fields]) AND (microbiome[Title/Abstract] OR symbio*[Title/Abstract] OR pathogen*[Title/Abstract] OR parasit*[Title/Abstract] OR protist[Title/Abstract] OR protozoa[Title/Abstract] OR bacteria*[Title/Abstract] OR virus[Title/Abstract] OR host[Title/Abstract] OR reservoir[Title/Abstract] OR vector[Title/Abstract] OR infection [Title/Abstract]) |
Scan papers for pathogen/symbiont reports and IDs and record | |
Step 5 | Engage with taxon group specialists, as appropriate, to sense check & compile additional information. |
The master list of species commonly imported to the UK contained 193 species of ornamental fish, and 40 species of ornamental invertebrate, (total 233, See Suppl. material
A total of 32 invertebrate species were removed from the master list because they met at least one of the following criteria: i) species list or recorded as present in the UK on GBIF, ii) low number (<100) of GBIF records, iii) distribution was restricted to within the tropical bands. One further invertebrate species, Pomacea maculata Perry, 1810 (synon. P. insularum), was removed from the master list because all Pomacea spp. were banned from import into the UK (
Outputs of species distribution models (SDMs), using UK temperatures under current and future climate conditions (i.e. 2050, under Representative Concentration Pathway, RCP 4.5, scenario), for ornamental freshwater fish and invertebrate species identified via eBay and Google searches in addition to expert elicitation as commonly traded in the UK (ordered by decreasing mean RCP 4.5 suitability score, then by mean current day suitability score and then by native continent. Also given is the number of records (n) from the Global Biodiversity Information Facility (GBIF; www.GBIF.org) used to carry out the SDMs (after selection of 1000 random points, removal of duplicates and cleaning). Species in bold had a mean suitability score of ≥ 0.15 under RCP4.5 2050 and were therefore subject to pathogen and parasite screening.
Taxon group/Scientific name | Common name | Native Continent | n | Current | RCP 4.5 |
---|---|---|---|---|---|
FISHES | |||||
Misgurnus anguillicaudatus | dojo loach | Asia | 781 | 0.59 | 0.62 |
Oryzias latipes | Japanese rice fish | Asia | 247 | 0.53 | 0.58 |
Aphanius mento | pearl-spotted killifish | Asia | 135 | 0.35 | 0.38 |
Rhodeus ocellatus | rosy bitterling | Asia | 311 | 0.23 | 0.32 |
Pimephales promelas | fathead minnow | North America | 859 | 0.19 | 0.31 |
Enneacanthus chaetodon | black banded sunfish | North America | 177 | 0.23 | 0.29 |
Misgurnus mizolepis | Chinese muddy loach | Asia | 244 | 0.26 | 0.28 |
Garra rufa | red garra | Asia and Europe | 234 | 0.25 | 0.28 |
Notropis chrosomus | rainbow shiner | North America | 376 | 0.26 | 0.27 |
Amatitlania nigrofasciata | convict cichlid | North America | 487 | 0.21 | 0.26 |
Xiphophorus variatus | variable platy | North America | 276 | 0.15 | 0.20 |
Pethia conchonius | rosy barb | Asia | 128 | 0.17 | 0.19 |
Xiphophorus hellerii | swordtail | North America | 943 | 0.13 | 0.17 |
Paracheirodon axelrodi | cardinal tetra | South America | 129 | 0.17 | 0.17 |
Corydoras paleatus | pepper corydoras | South America | 126 | 0.15 | 0.16 |
Barbodes semifasciolatus | gold barb | Asia | 141 | 0.16 | 0.15 |
Astronotus ocellatus | oscar | South America | 241 | 0.16 | 0.15 |
Osteoglossum bicirrhosum | arawana | South America | 126 | 0.15 | 0.15 |
Phractocephalus hemioliopterus | redtail catfish | South America | 120 | 0.14 | 0.14 |
Pethia ticto | ticto barb | Asia | 113 | 0.13 | 0.13 |
Hypostomus plecostomus | suckermouth catfish | South America | 277 | 0.13 | 0.13 |
Hypseleotris compressa | empire gudgeon | Australasia | 855 | 0.11 | 0.12 |
Pygocentrus nattereri | red bellied piranha | South America | 532 | 0.12 | 0.12 |
Poecilia reticulata | guppy | North & South America | 936 | 0.11 | 0.11 |
Corydoras aeneus | bronze corydoras | South America | 278 | 0.12 | 0.11 |
Melanotaenia nigrans | black-banded rainbowfish | Australasia | 212 | 0.10 | 0.10 |
Amphilophus citrinellus | midas cichlid | North America | 193 | 0.10 | 0.10 |
Cyprinella lutrensis | red shiner | North America | 902 | 0.10 | 0.10 |
Rocio octofasciata | Jack Dempsey | North America | 595 | 0.10 | 0.10 |
Pterophyllum scalare | angelfish | South America | 152 | 0.10 | 0.10 |
Poecilia velifera | sail-fin molly | North America | 175 | 0.09 | 0.09 |
Vieja melanura | redhead cichlid | North America | 706 | 0.09 | 0.09 |
Poecilia sphenops | common molly | North & South America | 519 | 0.08 | 0.08 |
INVERTEBRATES | |||||
Palaemonetes paludosus | ghost shrimp | North America | 249 | 0.31 | 0.35 |
Tarebia granifera | quilted melania | Asia & Australasia | 160 | 0.26 | 0.28 |
Cherax quadricarinatus | redclaw crayfish (blue lobster) | Australasia | 108 | 0.22 | 0.22 |
Triops australiensis | tadpole shrimp | Australasia | 145 | 0.21 | 0.21 |
Neritina pulligera | dusky nerite | Africa, Asia & Australasia | 111 | 0.18 | 0.19 |
Marisa cornuarietis | Colombian ramshorn apple snail | North & South America | 195 | 0.15 | 0.17 |
Metasesarma aubryi | red apple crab | Asia | 312 | 0.13 | 0.13 |
The majority of fish species (30.3%; n = 10) on the refined master list belong to the Order Cypriniformes, which includes the loaches, carps, barbs and minnows; taxa that are common in the aquarium trade. A notable proportion of the fish species on the refined master list (21%; n = 7) are the smaller ray-finned fishes of the Order Cyprinodontiformes, such as killifishes and livebearers (e.g. mollies, guppies), which are popular aquarium fishes. Also common on the refined master list are species of the taxonomic orders Siluriformes (18.1%; n = 6), representing the catfishes, and Cichliformes (15.1%; n = 5), representing the cichlids and angelfishes. Invertebrate species on the refined master list comprise snails, crabs, shrimps and a crayfish. Three were of the taxonomic Order Decapoda (Table
Mean UK suitability scores for the fish species ranged from 0.08 to 0.59 under current climate conditions and 0.08 to 0.62 under future (2050) climate conditions (Table
Mean suitability scores for the invertebrate species ranged from 0.15 to 0.33 and from 0.17 to 0.44 under current day and 2050, respectively (Table
In total, 18 fish and six invertebrate host species were screened for potential pathogens and parasites based on their suitability score of ≥0.15 under RCP 45 2050. A total of 504 records were returned from the literature (PubMed and Google) search. The number of records against each screened host species ranged between 0 and 144, with four species (tadpole shrimp; black banded sunfish Enneacanthus chaetodon Baird, 1855; rainbow shiner Notropis chrosomus Jordan, 1877; dusky nerite Neritina pulligera L., 1767) returning no records. A total of 243 records were deemed unsuitable for the PPP screen following review of the abstract to assess whether or not the publication included both the host species and/or a PPP. In total, 163 records documented natural interactions between hosts and PPPs (Table
In total, 155 PPPs across four biological kingdoms (Animalia, Fungi, Prokaryotes and Protists) and two domains (Bacteria and Viruses) were identified as associated with the screened host species. The majority belonged to phyla within the Animalia kingdom (66%; n = 100), specifically Acanthocephala (2%, n = 3), Annelida (1%, n = 2), Arthropoda (6%, n = 10), Cnidaria (1%, n = 2), Nematoda (10%, n = 16), and Platyhelminthes (43%, n = 67) (Table
List of potential pathogens and parasites reported as natural infections of ornamental fish and invertebrate species traded into the UK , whereby literature evidence was found (Y = Yes) for: Disease = clinical signs or disease in the animal caused by the associated pathogen or parasite; Mort. = mortalities in the animal as a result of the associated pathogen or parasite; Sub. = sub-clinical or asymptomatic infection in the animal. Location types: ‘Aquarium’ includes reports on specimens held in aquaria by hobbyists, public aquaria, vets or laboratories; ‘Retail (Pet shop)’ (Retail P) includes ornamental fish shops, both stand-alone and within ornamental markets; ‘Border’ refers to Import/Border Border Control Inspection Posts; ‘Retail B’ = Retail bait shop; ‘Retail S’ = Retail Spa.
Type & name of Disease Agent | Ornamental Species | Disease | Mort. | Sub. | Country | Location type | Reference |
---|---|---|---|---|---|---|---|
Viruses | |||||||
Aquatic birnavirus | Garra rufa | Y | Ireland | Retail S | ( |
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Athtabvirus | Cherax quadricarinatus | Y | Y | Australia | Farm | ( |
|
Chequa iflavirus | Cherax quadricarinatus | Y | Y | Y | Australia | Farm | ( |
Cherax quadricarinatus iridovirus | Cherax quadricarinatus | Y | Y | China | Farm | ( |
|
Decapod ambidensovirus1 | Cherax quadricarinatus | Y | Y | Australia | Farm | ( |
|
Fathead minnow calicivirus | Pimephales promelas | Y | Y | USA | Retail B | ( |
|
Fathead minnow nidovirus | Pimephales promelas | Y | Y | USA | Retail B | ( |
|
Fathead minnow picornavirus | Pimephales promelas | Y | USA | Retail B | ( |
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Fathead minnow rhabdovirus | Pimephales promelas | Y | Y | USA | Farm | ( |
|
Golden shiner reovirus | Pimephales promelas | Y | Y | USA | Retail B | ( |
|
Hepatopancreatic reovirus | Cherax quadricarinatus | Y | Y | Y | Australia | Farm | ( |
ISK necrosis virus | Astronotus ocellatus | Australia | Retail P | ( |
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ISK necrosis virus | Astronotus ocellatus | Y | India | Retail P | ( |
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Loach birnavirus | Misgurnus anguillicaudatus | Y | Taiwan | Farm | ( |
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Parvo-like virus | Cherax quadricarinatus | Y | Y | Australia | Farm | ( |
|
South American cichlid iridovirus | Astronotus ocellatus | Y | Y | USA | Retail P | ( |
|
Spawner-isolated mortality virus | Cherax quadricarinatus | Y | Y | Australia | Farm | ( |
|
Turbot reddish body iridovirus | Astronotus ocellatus | USA | Retail P | ( |
|||
Viral Haemorraghic Septicaemia2 | Pimephales promelas | Y | USA | Wild | ( |
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Bacteria | |||||||
Acinetobacter pittii | Misgurnus anguillicaudatus | Y | Y | China | Farm | ( |
|
Aeromonas hydrophila | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Aeromonas hydrophila | Misgurnus anguillicaudatus | Y | Y | South Korea | Farm | ( |
|
Aeromonas sobria | Corydoras paleatus | Y | Italy | Wholesaler | ( |
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Aeromonas sobria | Garra rufa | Y | Y | Slovakia | Farm | ( |
|
Aeromonas sobria | Misgurnus anguillicaudatus | Y | Italy | Wholesaler | ( |
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Aeromonas sobria | Misgurnus mizolepis | Y | Y | South Korea | Farm | ( |
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Aeromonas sobria | Xiphophorus hellerii | Y | Italy | Wholesaler | ( |
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Aeromonas veronii | Astronotus ocellatus | Y | Y | India | Farm | ( |
|
Aeromonas veronii | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Bacteria | |||||||
Chryseobacterium cucumeris | Misgurnus anguillicaudatus | Y | Y | South Korea | Farm | ( |
|
Citrobacter freundii | Garra rufa | Y | Y | South Korea | Farm | ( |
|
Edwardsiella ictaluri | Pethia conchonius | Y | Y | Y | Australia | Border | ( |
Listonella anguillarum | Misgurnus anguillicaudatus | Y | Y | China | Farm | ( |
|
Mycobacterium abscessus | Xiphophorus variatus | Y | Y | Italy | Border | ( |
|
Mycobacterium fortuitum | Xiphophorus variatus | Y | Y | Italy | Aquarium | ( |
|
Mycobacterium goodii | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Mycobacterium gordonae | Cherax quadricarinatus | Y | Y | Israel | Farm | ( |
|
Mycobacterium marinum | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Rickettsia-like organism | Cherax quadricarinatus | Y | Y | Ecuador | Farm | ( |
|
Shewanella putrefaciens | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Shewanella putrefaciens | Misgurnus anguillicaudatus | Y | Y | China | Farm | ( |
|
Streptococcus agalactiae | Garra rufa | Y | Y | Ireland | Retail S | ( |
|
Streptococcus iniae | Astronotus ocellatus | Y | Iran | Aquarium | ( |
||
Vibrio cholerae | Garra rufa | Y | Y | Y | Italy | Retail S | ( |
Protists | |||||||
Achlya sp. | Astronotus ocellatus | Y | Iran | Aquarium | ( |
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Aphanomyces astaci | Cherax quadricarinatus | Y | Y | Taiwan | Farm | ( |
|
Aphanomyces invadans | Pethia conchonius | Y | Y | India | Wild | ( |
|
Dermocystidium salmonis | Paracheirodon axelrodi | Y | Y | Germany | Aquarium | ( |
|
Ichthyobodo necator | Xiphophorus hellerii | USA | ( |
||||
Ichthyophthirius multifiliis | Astronotus ocellatus | Brazil | Wild | ( |
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Ichthyophthirius multifiliis | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Ichthyophthirius multifiliis | Paracheirodon axelrodi | Brazil | Retail P | ( |
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Ichthyophthirius multifiliis | Xiphophorus hellerii | Australia | Wild | ( |
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Piscinoodinium pillulare | Astronotus ocellatus | Brazil | Wild | ( |
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Piscinoodinium pillulare | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Tokophrya huangmeiensis | Cherax quadricarinatus | China | Farm | ( |
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Trichodina acuta | Misgurnus anguillicaudatus | China | Farm | (Wang et al. 2017) | |||
Trichodina acuta | Xiphophorus hellerii | Brazil | Farm | ( |
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Trichodina heterodentata | Xiphophorus hellerii | Australia | Wild | ( |
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Trichodina lechriodentata | Misgurnus anguillicaudatus | China | ( |
||||
Trichodina modesta | Misgurnus anguillicaudatus | China | ( |
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Trichodina sp. | Paracheirodon axelrodi | Brazil | Wild | ( |
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Trichodina sp. | Pimephales promelas | USA | Wild | ( |
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Trichodina sp. | Xiphophorus hellerii | Sri Lanka | Farm | ( |
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Fungi | |||||||
Apotaspora heleios | Palaemonetes paludosus | Y | USA | Wild | ( |
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Exophiala pisciphila | Paracheirodon axelrodi | Y | Czechia | Aquarium | ( |
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Glugea pimephales | Pimephales promelas | Y | Canada | Wild | ( |
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Pleistophora hyphessobryconis | Paracheirodon axelrodi | Czechia | Aquarium | ( |
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Pleistophora sp. | Pimephales promelas | Y | USA | Farm | ( |
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Fungi | |||||||
Pseudoloma neurophilia | Pimephales promelas | Y | Y | UK | Aquarium | ( |
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Animal Kingdom | |||||||
Acanthocephala | |||||||
Acanthochepalan polymorphus sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Neoechinorhynchus panucensis | Amatitlania nigrofasciata | Mexico | Wild | ( |
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Triaspiron aphanii | Aphanius mento | Turkey | Wild | ( |
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Annelida | |||||||
Chaetogaster limnaei | Tarebia granifera | Jamaica | Wild | ( |
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sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Glossiphonidae gen. sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Arthropoda | |||||||
Argulus foliaceus | Astronotus ocellatus | Turkey | (Toksen 2006) | ||||
Argulus japonicus | Rhodeus occellatus | Japan | Wild | ( |
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Argulus multicolor | Astronotus ocellatus | Brazil | Wild | ( |
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Dolops nana | Astronotus ocellatus | Brazil | Wild | ( |
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Ergasilus ceylonensis | Xiphophorus hellerii | Sri Lanka | Farm | ( |
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Lamproglena monodi | Astronotus ocellatus | Brazil | Wild | ( |
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Lernaea cyprinacea | Corydoras paleatus | Argentina | Wild | ( |
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Lernaea cyprinacea | Pimephales promelas | USA | Wild | ( |
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Lernaea cyprinacea | Rhodeus ocellatus | Japan | Wild | ( |
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Lernaea cyprinacea | Xiphophorus hellerii | Iran | Farm | ( |
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Neoergasilus japonicus | Pimephales promelas | USA | Wild | ( |
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Probopyrus pandalicola | Palaemonetes paludosus | USA | Wild | ( |
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Sebekia mississippiensis | Xiphophorus helleri | USA | Retail P | ( |
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Cnidaria | |||||||
Myxobolus axelrodi | Paracheirodon axelrodi | Y | ( |
||||
Thelohanellus misgurni | Misgurnus mizolepis | ( |
|||||
Nematoda | |||||||
Anguillicoloides crassus | Amatitlania nigrofasciata | Germany | Wild | ( |
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Camallanus acaudatus | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Camallanus cotti | Amatitlania nigrofasciata | Germany | Wild | ( |
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Camallanus cotti | Misgurnus anguillicaudatus | Canada | Aquarium | ( |
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Camallanus cotti | Xiphophorus hellerii | USA | Wild | ( |
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Camallanus sp. | Paracheirodon axelrodi | Brazil | Retail P | ( |
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Contracaecum bancrofti | Misgurnus anguillicaudatus | Australia | Wild | ( |
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Contracaecum sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Contracaecum sp. | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Contracaecum sp. | Pimephales promelas | USA | Wild | ( |
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Eustrongylides excisus | Aphanius mento | Turkey | Wild | (Aydo_du et al. 2011) | |||
Eustrongylides sp. | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Gnathostoma nipponicum | Misgurnus anguillicaudatus | South Korea | Retail P | ( |
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Mexiconema cichlasomae | Xiphophorus hellerii | Mexico | Wild | ( |
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Procamallanus inopinatus | Astronotus ocellatus | Brazil | Wild | ( |
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Procamallanus pintoi | Corydoras paleatus | Argentina | Wild | ( |
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Procamallanus sp. | Paracheirodon axelrodi | Brazil | Wild | ( |
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Nematoda | |||||||
Procamallanus spiculastriatus | Astronotus ocellatus | Brazil | Wild | ( |
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Pseudocapillaria margolisi | Pethia conchonius | India | Wild | ( |
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Pseudoproleptus sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Platyhelminthes | |||||||
Acanthatrium hitaense | Tarebia granifera | Thailand | Wild | ( |
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Acanthostomum sp. | Paracheirodon axelrodi | Brazil | Retail P | ( |
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Caballerotrema aruanense | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Centrocestus formosanus | Barbodes semifasciolatus | Vietnam | Wild | ( |
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Centrocestus formosanus | Melanoides tuberculata | USA | Wild | ( |
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Centrocestus formosanus | Osteoglossum bicirrhosum | Iran | Wild | ( |
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Centrocestus formosanus | Tarebia granifera | USA | Wild | ( |
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Centrocestus formosanus | Tarebia granifera | Thailand | Wild | ( |
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Clinostomum complanatum | Misgurnus anguillicaudatus | Taiwan | Farm | (Wang et al. 2017) | |||
Clinostomum complanatum | Rhodeus ocellatus | Japan | Wild | ( |
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Clinostomum marginatum | Astronotus ocellatus | Brazil | Wild | ( |
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Clonorchis sinensis | Misgurnus anguillicaudatus | China | Wild | ( |
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Clonorchis sinensis | Misgurnus anguillicaudatus | South Korea | Wild | ( |
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Clonorchis sinensis | Rhodeus ocellatus | South Korea | Wild | ( |
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Craspedella pedum | Cherax quadricarinatus | South Africa | Wild | ( |
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Crassiphiala bulboglossa | Pimephales promelas | USA | Wild | ( |
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Dactylogyrus olfactorius | Pimephales promelas | USA | Wild | ( |
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Dactylogyrus simplex | Pimephales promelas | USA | Wild | ( |
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Dactylogyrus bychowskyi | Pimephales promelas | USA | Wild | ( |
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Dactylogyrus pectenatus | Pimephales promelas | USA | Wild | ( |
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Dactylogyrus ostraviensis | Pethia conchonius | Y | Australia | Border | ( |
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Dactylogyrus sp. | Garra rufa | Iraq | Wild | ( |
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Dactylogyrus sp. | Xiphophorus hellerii | Sri Lanka | Farm | ( |
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Diceratocephala boschmai | Cherax quadricarinatus | Thailand | Wild | ( |
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Diceratocephala boschmai | Cherax quadricarinatus | South Africa | Wild | ( |
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Didymorchis sp. | Cherax quadricarinatus | South Africa | Wild | ( |
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Diplostomidae sp. | Paracheirodon axelrodi | Brazil | Retail P | ( |
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Echinostoma cinetorchis | Misgurnus anguillicaudatus | South Korea | Retail P | ( |
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Echinostoma sp. | Melanoides tuberculata | Philippines | Wild | ( |
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Gonocleithrum aruanae | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Gonocleithrum coenoideum | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Gonocleithrum cursitans | Osteoglossum bicirrhosum | Iran | Retail P | (Mehdizadeh et al. 2016) | |||
Gonocleithrum planacrus | Osteoglossum bicirrhosum | Brazil | Wild | ( |
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Gussevia asota | Astronotus ocellatus | Peru | Wild | ( |
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Gussevia asota | Astronotus ocellatus | Panama | Wild | ( |
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Gussevia asota | Astronotus ocellatus | South Korea | Farm | ( |
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Gussevia astronii | Astronotus ocellatus | Brazil | Wild | ( |
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Nematoda | |||||||
Gussevia rogersi | Astronotus ocellatus | Brazil | Wild | ( |
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Gyrodactylus anisopharynx | Corydoras paleatus | Argentina | Wild | ( |
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Gyrodactylus anisopharynx | Corydoras paleatus | Brazil | Wild | ( |
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Gytrodactylus bullatarudis | Xiphophorus hellerii | Australia | Wild | ( |
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Gyrodactylus cichlidarum | Astronotus ocellatus | Iran | Retail P | ( |
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Gyrodactylus corydori | Corydoras paleatus | Brazil | Wild | ( |
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Gyrodactylus macracanthus | Misgurnus anguillicaudatus | Australia | Wild | ( |
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Gyrodactylus medaka | Oryzias latipes | Japan | Wild | ( |
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Gyrodactylus samirae | Corydoras paleatus | Brazil | Wild | ( |
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Gyrodactylus sp. | Misgurnus anguillicaudatus | USA | Wild | ( |
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Gyrodactylus sp. | Paracheirodon axelrodi | Brazil | Wild | ( |
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Gyrodactylus sp. | Xiphophorus hellerii | Sri Lanka | Farm | ( |
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Gyrodactylus superbus | Corydoras paleatus | Argentina | Wild | ( |
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Haematoloechus similis | Tarebia granifera | Thailand | Wild | ( |
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Haplorchis pumilio | Barbodes semifasciolatus | Vietnam | Wild | ( |
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Haplorchis pumilio | Melanoides tuberculata | USA | Wild | ( |
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Haplorchis pumilio | Melanoides tuberculata | Thailand | Wild | ( |
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Haplorchis pumilio | Tarebia granifera | USA | Wild | ( |
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Haplorchis sp. | Tarebia granifera | Laos | Wild | ( |
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Haplorchis taichui | Melanoides tuberculata | Thailand | Wild | ( |
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Haplorchis taichui | Melanoides tuberculata | Laos | Wild | ( |
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Haplorchis taichui | Tarebia granifera | Thailand | Wild | ( |
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Haplorchis taichui | Tarebia granifera | Laos | Wild | ( |
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Herpetodiplostomum sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Isthmiophora hortensis4 | Misgurnus anguillicaudatus | China | Wild | ( |
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Isthmiophora hortensis4 | Misgurnus anguillicaudatus | South Korea | Wild | ( |
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Isthmiophora hortensis4 | Misgurnus anguillicaudatus | South Korea | Retail P | (Jong-Yil |
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Loxogenoides bicolor | Melanoides tuberculata | Thailand | Wild | ( |
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Loxogenoides bicolor | Tarebia granifera | Thailand | Wild | ( |
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Massaliatrema misgurni | Misgurnus anguillicaudatus | Japan | Retail P | ( |
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Megulurous sp. | Melanoides tuberculata | Philippines | Wild | ( |
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Metorchis orientalis | Rhodeus ocellatus | China | Wild | ( |
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Notocotylid sp. | Tarebia granifera | Jamaica | Wild | ( |
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Ornithodiplostomum ptychocheilus | Pimephales promelas | USA | Wild | ( |
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Ornithodiplostomum ptychocheilus | Pimephales promelas | Canada | Wild | ( |
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Paracaryophyllaeus gotoi | Misgurnus anguillicaudatus | Japan | Wild | ( |
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Parapleurophocercous sp. | Melanoides tuberculata | Philippines | Wild | ( |
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Parapleurophocercous sp. | Tarebia granifera | Philippines | Wild | ( |
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Philophthalmus gralli | Melanoides tuberculata | USA | Wild | ( |
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Nematoda | |||||||
Philophthalmus gralli | Tarebia granifera | USA | Wild | ( |
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Philophthalmus sp. | Tarebia granifera | Jamaica | Wild | ( |
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Posthodiplostomum minimum | Pimephales promelas | Canada | Wild | ( |
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Posthodiplostomum minimum | Pimephales promelas | USA | Farm | ( |
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Posthodiplostomum sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Pimephales promelas | Posthodiplostomum sp. | USA | Wild | ( |
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Proteocephalus gibsoni | Astronotus ocellatus | Brazil | Wild | ( |
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Proteocephalus misgurni | Misgurnus anguillicaudatus | Russia | Wild | ( |
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Prototransversotrema steeri | Xiphophorus hellerii | Sri Lanka | Farm | ( |
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Pseudolevinseniella anenteron | Cherax quadricarinatus | Thailand | Wild | ( |
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Paradiplozoon bingolensis | Garra rufa | Turkey | Wild | ( |
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Schyzocotyle acheilognathi | Pimephales promelas | USA | Retail B | ( |
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Schyzocotyle acheilognathi | Xiphophorus hellerii | USA | Wild | ( |
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Stellantchasmus falcatus | Tarebia granifera | Thailand | Wild | ( |
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Temnosewellia sp. | Cherax quadricarinatus | Thailand | Wild | ( |
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Tetracotyle wayanadensis | Pethia conchonius | India | Wild | ( |
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Thometrema sp. | Astronotus ocellatus | Brazil | Wild | ( |
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Uvulifer ambloplitis | Pimephales promelas | USA | Wild | ( |
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Telethecium nasalis | Osteoglossum bicirrhosum | Brazil | Wild | ( |
Viruses represented 12% of the total PPPs identified as associated with screened host species, and they belonged to a number of RNA virus families, including Rhabdoviridae, Birnaviridae, as well as the DNA virus family, the iridioviruses (Table
The greatest number of PPPs were reported for fathead minnow, with 27 in total (Table
Many of the PPPs found to be associated with the screened host species are known to already occur in UK waters. In particular, species of bacteria associated with screened hosts have a wide global distribution and are likely already associated with disease in aquatic organisms in the UK. Also known to cause disease in the UK is the protist Ichthyophthirius multifiliis Fouquet, 1876, commonly known as ‘Ich’ – the causative agent of white-spot disease. This protozoan was identified in several screened ornamental fishes including: swordtail Xiphophorus helleri Heckel, 1848, oscar, arawana Osteoglossum bicirrhosum Cuvier, 1829 and cardinal tetra Paracheirodon axelrodi Schultz, 1956. In addition, Trichodina Ehrenberg, 1838, another widespread protozoan genus already found in the UK, was identified as associated with several of the screened ornamental species. Aphanomyces astaci Schikora, 1906, which is widely distributed throughout Europe and the causative agent of the crayfish plague, was associated with the redclaw crayfish. Arthropoda PPPs, common in the UK, associated with listed species included Argulus japonicus Thiele, 1900 and Argulus foliaceus L., 1758.
However, PPPs not known to occur in UK waters were identified. For example, infection of fathead minnow by viral haemorrhagic septicaemia virus (VHSv), the aetiological agent of OIE-listed Viral Haemorrhagic Septicaemia, and of the oscar by infectious spleen and necrosis virus (ISKNv) were reported. In addition, the protist Aphanomyces invadans David & Kirk, 1997, the aetiological agent of OIE listed Epizootic Elcerative Syndrome, was reported as associated with the rosy barb Pethia conchonius Hamilton, 1822. Further, the fungi Pseudoloma neurophilia was reported to cause mortality in the fathead minnow. Finally, the Cnidarian, Myxobolus axelrodi, was associated with the cardinal tetra and was also reported to cause mortalities.
Also identified were PPPs with zoonotic potential, including two trematodes, Isthmiophora hortensis Asata, 1926 and Clinostomum complanatum Rudolphi, 1814 were reported as associated with the dojo loach and rosy bitterling Rhodeus ocellatus Kner, 1868, respectively. One cestode, Schyzocotyle acheilognathi Yamaguti, 1934, also with known zoonotic potential, was reported as associated with swordtail. Bacterial PPPs known to infect both fishes and humans were also identified as associated with screened fishes, including: Acinetobacter pittii Nemec et al., 2011, Aeromonas veronii Hickman-Brenner et al., 1987, A. hydrophila Chester, 1901, Vibrio cholerae Pacini, 1854, Shewanella putrefaciens MacDonell & Colwell, 1986, Mycobacterium marinum Aronson, 1926 and Mycobacterium goodii Brown et al., 1999. Antimicrobial resistance was reported for some bacterial strains identified in screened species, including a strain of Aeromonas sobria Popoff & Vron, 1981 (in swordtail and dojo loach).
Trade in live aquatic ornamental species is vast, benefitting from globalisation and improved transport in recent decades. Over 140 countries are involved in the international trade of more than 1500 fish and 300 aquatic invertebrate species (
These data on commonly traded species are a snapshot in time, which potentially limits accuracy and prevents the assessment of seasonal and annual variations. That said, the six species identified were listed amongst the 30 species reported to predominate the global trade in ornamental freshwater organisms in a relatively recent review: Endler’s livebearer, goldfish, zebra danio, neon tetra Paracheirodon innesi Myers, 1936, angel fish Pterophyllum scalare Schultze, 1823, and discus Symphysodon aequifasciatus Pellegrin, 1904 (
Access to robust ornamental trade data, in particular with respect to species traded and import origin, is fundamental to fill knowledge gaps and inform risk screenings and the risk analysis process (
Legislative instruments restrict the keeping of many temperate species but do allow the keeping of numerous commonly traded tropical and sub-tropical species. The application of SDMs indicated that, while establishment of commonly traded species if released into the wild is unlikely in the UK under current conditions, predicted temperature increases associated with climate change may increase risks of survival and establishment. The mean increase in temperature suitability of 2.4% and 1.8% for fish and invertebrates, respectively, by 2050 under RCP 4.5 demonstrated in our study may seem a small increase in ‘risk’, but RCP 4.5 represents a moderate climate-change scenario, and temperature increases may be greater than this scenario predicts. Although a broad scale indication of the change in suitability under climate change is provided, careful interpretation of SDM outputs may be required. For instance, the red shiner Cyprinella lutrensis Baird & Girard, 1853, is widespread across the USA and has been identified, using the Fish Invasiveness Screening Kit, as posing a medium risk of being invasive in England and Wales (
In total, 155 PPPs were found to be associated with the screened ornamental fishes and invertebrates. Despite following a standardised approach for each host species, the number of PPPs identified in the literature may be skewed by the research effort applied to a species and affected by the use of different accepted names or synonyms. One of the key drivers of impacts associated with NN aquatic species (
Even if the long-term survival of an ornamental species is not supported by future UK temperatures, the host species may persist long enough to transmit a PPP to a native susceptible host or introduce a free-living stage which can survive. Temperature may also determine the likelihood of PPPs causing disease and morbidity in infected hosts. For example, KHV is thought to only cause clinical signs and mortality between 16 ˚C and 25 ˚C (
The PPPs that cause mortalities or clinical expression of disease in the traded host species are more likely to be detected via visual inspection or quarantine at border control posts or other stages in the ornamental trade pathway (Table
Though the remit of our study was to undertake a high-level screening to identify all PPPs associated with commonly traded ornamental species, rather than novel threats per se, we note that while some of the identified PPPs are known in the UK, others are not. Some PPPs are already known within the ornamental fish trade industry, and do not cause widespread impact or can be successfully treated to minimise impact. However, the abundance and diversity of PPPs increases potential for future disease outbreaks under changing environmental conditions. Even where a PPP has not yet been implicated in any mortality events, the changing climate and alterations to host communities (e.g. due to species introductions) may provide the perfect storm for disease emergence into the future. Next steps should aim to assess the risk associated with each PPP, focussing on the interplay between the PPP, all potential hosts and changing environmental conditions.
In conclusion, the ornamental fish trade is largely free from serious and untreatable diseases. However, through screening of a small subset of ornamental freshwater species, our study highlights the abundance and diversity of PPPs present in ornamental species commonly traded in the UK. An understanding of hazards associated with PPPs, in particular under changing ecological and environmental conditions, is crucial to determine and communicate risks and enhance risk awareness amongst stakeholders and the general public, thereby enabling mitigation through management actions (
This work was funded by Department for Environment, Food & Rural Affairs, Project FB002. We would also like to express our gratitude to Alasdair Scott and anonymous reviewers for their helpful advice and comments on the manuscript.
Threats to UK freshwaters under climate change: Commonly traded aquatic ornamental species and their potential pathogens and parasites
Data type: Lists, Tables and Maps
Explanation note: This supplementary file provides a list of all websites used in the Google search, a table of all fish and invertebrate species observed as being sold in the UK and criteria for further analysis and a table of results for the pathogen and parasite screen based on laboratory studies (and the reference list for this table).