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Population structure of the fish pathogen Flavobacterium psychrophilum at whole-country and model river levels in Japan

Erina Fujiwara-Nagata12*, Céline Chantry-Darmon23, Jean-François Bernardet2, Mitsuru Eguchi1, Eric Duchaud2 and Pierre Nicolas3

Author Affiliations

1 Department of Fisheries, Kinki University, Nara, Japan

2 INRA, Virologie et Immunologie Moléculaires UR892, Jouy-en-Josas, France

3 INRA, Mathématique Informatique et Génome UR1077, Jouy-en-Josas, France

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Veterinary Research 2013, 44:34  doi:10.1186/1297-9716-44-34


The electronic version of this article is the complete one and can be found online at: http://www.veterinaryresearch.org/content/44/1/34


Received:28 November 2012
Accepted:25 April 2013
Published:17 May 2013

© 2013 Fujiwara-Nagata et al.; licensee BioMed Central Ltd.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The bacterium Flavobacterium psychrophilum is a serious problem for salmonid farming worldwide. This study investigates by multilocus sequence typing (MLST) the population structure of this pathogen in Japan where it is also a major concern for ayu, a popular game fish related to salmoniforms. A total of 34 isolates collected across the country and 80 isolates sampled in a single model river by electrofishing were genotyped. The data accounting for 15 fish species allowed identifying 35 distinct sequence types (ST) in Japan. These ST are distinct from those reported elsewhere, except for some ST found in rainbow trout and coho salmon, two fish that have been the subject of intensive international trade. The pattern of polymorphism is, however, strikingly similar across geographical scales (model river, Japan, world) in terms of the fraction of molecular variance linked to the fish host (~50%) and of pairwise nucleotide diversity between ST (~5 Kbp-1). These observations go against the hypothesis of a recent introduction of F. psychrophilum in Japan. Two findings were made that are important for disease control: 1) at least two independent F. psychrophilum lineages infect ayu and 2) co-infections of the same individual fish by different strains occur.

Introduction

Diseases are an important problem in fish farming and control of bacterial pathogens relies mostly on repeated antibiotic treatments incompatible with the development of sustainable aquaculture [1]. The fish-pathogenic bacterium Flavobacterium psychrophilum is the causative agent of the “bacterial cold water disease” (BCWD) and the “rainbow trout fry syndrome”, two salmonid diseases that cause considerable losses in rainbow trout (Oncorhynchus mykiss) and coho salmon (Oncorhynchus kisutch) farming industries worldwide [2-5]. In Japan, Flavobacterium psychrophilum was first isolated in 1987 from cultured ayu (Plecoglossus altivelis altivelis), a fish related to salmoniforms [6]. The status of F. psychrophilum in the country before the development of the fish farming industry and possible importation from foreign sources is unclear [7-9] but it is currently recognized as a serious problem, in particular for ayu [10]. Indeed, to increase the stocks of this very popular game fish, juveniles hatched from artificially fertilized eggs or captured in coastal areas are released into rivers by fish farming companies and experimental stations located in each prefecture. The bacterium is then probably disseminated with ayu juveniles. Infections are now repeatedly reported not only in fish farms but also in natural environments [6,11].

Many species beyond the ayu and farmed rainbow trout and coho salmon have been reported to harbor F. psychrophilum in Japan. These include migrating salmonids whose geographical ranges extend throughout the north-Pacific and more local species and subspecies. The actual host range of F. psychrophilum is, however, not limited to salmonids [12], although the infection is apparently less severe in non-salmonids [13]. In Japan, F. psychrophilum has been reported on a number of local non-salmonid wild fish species [14-16].

Understanding the degree and determinants of host specificity of F. psychrophilum strains as well as their routes of dissemination would help setting rational practices to limit the spreading of the disease. Correlations between bacterial genotype and host fish have been observed in several studies on field isolates [14,17-20] and we recently reported that ayu could be experimentally infected in bath infection challenges by isolates collected from ayu but not from coho salmon or rainbow trout [14]. However mimicking the conditions of natural infections is generally difficult for F. psychrophilum[21-24] and field studies that would provide a deeper knowledge of the distribution of the genotypes in terms of geographical area and host fish species are essential.

Following the publication of the complete genome sequence of a F. psychrophilum strain [25], a first Multi-locus sequence typing (MLST) analysis was conducted on a set of 50 isolates collected from 11 different fish species in 12 different countries over the world [17]. This initial study identified 33 different sequence types (ST), some of which could be grouped into clonal complexes (CC) associated with particular fish species, especially rainbow trout and coho salmon. The results also revealed remarkably high rates of homologous recombination and limited nucleotide diversity. However, the small number of isolates from each particular geographical origin did not allow the description of population structure at a regional scale. A more recent analysis of 66 additional isolates from farmed rainbow trout in France [26] concluded to the predominance of a single clonal complex. In the present study we investigated the genetic diversity of F. psychrophilum in Japan using a higher number of isolates than for any other region and taking into account the diversity of fish hosts. We also compare the patterns of polymorphism at the world, country and single model river levels.

Materials and methods

Field sampling of F. psychrophilum isolates

A first set of Japanese F. psychrophilum isolates was contributed by correspondents all over Japan (listed in Additional file 1). A second set of isolates was collected in the downstream area of the ~9.5 km long Chinai River near (~0.3 km) its mouth into Lake Biwa, the largest lake in Japan. With an authorization of the Shiga prefecture, fish were caught by electrofishing, kept at low temperature into tanks, quickly transported to our laboratory and euthanized by severing their spinal cord. Gill samples were cut into pieces of ~25 mm2 and suspended in 1 mL of phosphate buffered saline (PBS). The tubes were vortexed during 30 s at maximum speed and the suspensions were further diluted in PBS as to obtain well-separated colonies on modified cytophaga (MCYT) agar [27]. Samples from internal organs and skin lesions were collected using a sterile loop and streaked directly onto MCYT plates. Water samples (containing 2000 ~ 3000 cfu mL-1) were diluted to 10-4 in PBS prior to being spread onto MCYT plates. Caddisfly cases were vigorously vortexed in 1.5 mL of PBS and the suspensions were diluted and spread onto MCYT plates. All plates were incubated at 15°C for 4 days. Yellow colonies were selected for identification as F. psychrophilum based on the PCR amplification of the 16S rRNA and gyrB genes [18,28,29] according to the guidelines of the council for the control of bacterial cold water disease of ayu (Japanese Ministry of Agriculture, Forestry and Fisheries). Each isolate received a unique identifier containing the date of sampling encoded in the “yymmdd” format.

Additional file 1. Isolates representative of diversity at the country level. Institutions that provided these isolates and previous publications on these isolates are listed [11,14,16,44-47].

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Multi locus sequence typing

The seven target loci as well as the PCR and sequencing protocols are listed in Additional file 2. The sequences were assembled using Phred/Phrap/Consed [30], verified manually to ensure high quality, and deposited in Genbank (GenBank:KC203886-KC204683). In keeping with MLST standards [31,32], arbitrary numbers served for unambiguous identification of the AT (particular alleles at particular loci) and ST (unique combinations of AT at the seven loci). To facilitate large scale studies the following changes were made compared to the initial study [17]: PCR amplification was performed with an optimized touchdown protocol; 5’ extensions were added to the PCR primers to allow sequencing of the 7 loci with the same pair of primers; and AT attribution was based on slightly shortened sequences. The data, including the genotypes from [17,26], are made available in a new version of the F. psychrophilum MLST database [33] which uses the BIGSdb system [34].

Additional file 2. MLST scheme. PCR and sequencing primers for the seven loci as well as the corresponding experimental protocols are provided.

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A tree depicting AT-sharing between ST was built by hierarchical clustering with R; the function “hclust” using the single link aggregation method and drawn with the R package “ape”. The eBURSTv3 software with default settings [35] was used to obtain a “population snapshot” highlighting the relationships between closely related ST. Clonal complexes (CC) were defined using the criterion of single locus variant (SLV) connections between ST. Analyses of nucleotide diversity, including analysis of molecular variance [36], were coded in R. Nucleotide diversity was computed on pairwise comparisons between unique ST rather than between isolates to minimize the impact of sampling biases; as a consequence, the values were slightly higher than those initially reported in Nicolas et al. [17].

Results and discussion

Sampling of F. psychrophilum diversity at whole-country and model river levels

We analyzed bacterial isolates representative of two different geographical levels. In addition to 6 MLST profiles already available [17], we genotyped a first set of 34 F. psychrophilum isolates collected between 1993 and 2005 from a variety of locations all over Japan to account for the diversity at the country level. Our second set consisted of 80 isolates obtained for this study between August 2005 and December 2006 from a single model river in which fish were captured irrespective of their disease status to minimize sampling biases. This strategy allowed retrieving isolates from 6 fish species, as well as 4 isolates from water samples and 1 from the case of a caddisfly (order Trichoptera). This raises the number of MLST profiles available to study the F. psychrophilum population structure in Japan to 120 and the number of sampled host fish species to 15. Table 1 provides a detailed summary of the data. These could be compared to 110 other MLST profiles from the rest of the world [17,26].

Table 1. MLST profiles and background information for the 120 F. psychrophilum isolates from Japan

Population structure at the country level

Our MLST data reveal a high genetic diversity of F. psychrophilum in Japan. The total number of different ST in the Japanese isolate collection amounts to 35, among which 32 are only reported in Japan (Figure 1). At the nucleotide level, these 35 ST harbor a pairwise nucleotide diversity of 5.4 Kbp-1 comparable to the 5.6 Kbp-1 found in the 230 isolates representative of worldwide diversity. This indicates that the structure of the F. psychrophilum population is at most only marginally linked to geographical origin. Indeed, in our data, as much as 88% of the nucleotide sites that are polymorphic in Europe are also polymorphic in Japan.

thumbnailFigure 1. Genetic relationships, geographical origins and host fish species of the 230 F. psychrophilum isolates with MLST profiles available. The tree was built based on the number of shared allele types (AT) using hierarchical clustering and a single link aggregation criterion. This choice ensures a relative robustness with respect to recombination as well as consistency with the eBURST diagram and the definition of clonal complexes. The circle associated with each sequence type (ST) reflects its number of occurrences (size) and geographical origin (color). The most frequent fish host for each ST is reported on the side together with its relative frequency (between parentheses).

Many of the ST that were sampled several times are associated with the defined host fish (Figures 1 and 2). The ST of most Japanese isolates (76%) could indeed be classified into six CC and the ST from a same CC also tended to infect similar host fish. Each CC is named after a representative ST. These six CC are the following: CC-ST52 (59 isolates) from ayu; CC-ST48 (13 isolates) from ayu; CC-ST56 (12 isolates) from ayu and cyprinids; CC-ST2 (3 isolates) from rainbow trout; CC-ST9 (2 isolates) from coho salmon; and CC-ST54 (2 isolates) from masou salmon. Of note, CC-ST48 and CC-ST56 that both infect ayu are connected by a double locus variant (DLV) link and therefore probably share a recent common ancestor, even though here they are distinguished using the stringent operational definition of CC based on the SLV links.

thumbnailFigure 2. The eBURST population snapshot of the F. psychrophilum MLST data. The relationships between the 230 isolates with the MLST profile available are depicted in this diagram.

Analysis of the molecular variance confirmed that the association between genotype and the host fish in Japan was highly statistically significant and showed that it explains as much as 44.2% of the genetic variance. This level was slightly lower but close to the 51.3% reported at the worldwide level by Nicolas et al. [17] and to the 48.3% computed here on the new set of 230 isolates.

At least two separate lineages (CC-ST52 and CC-ST48/CC-ST56) infect this fish species, a fact that is important for the future treatment and prevention of BCWD in ayu. Strains in these three CC showed various levels of virulence against ayu in bath infection challenges and strains from CC-ST48/CC-ST56 generally seem more virulent than those from CC-ST52 [14]. Of note, CC-ST56 also infects cyprinids in Japan and [14] reported that ST-51 isolates from cyprinids cause mortality in ayu by bath infection challenge, providing experimental support for the possibility of transfer between carp and ayu in CC-ST56.

Footprints and possible mechanisms of transcontinental dissemination

The absence of clear genetic signal reflecting the geography indicates mixing between F. psychrophilum populations located on different continents. Such a deep effect on the whole population probably involved recurrent natural dissemination before the development of commercial exchanges. This may seem surprising for a fish-pathogenic bacterium found in freshwater that one can believe limited by watersheds. However, long-distance dissemination events do not need to be frequent to have a substantial impact on genetic structure: a few migrants per generation in the entire population have dramatic homogenizing consequences in idealized models [37,38]. Potential mechanisms include fish and bird migrations but airborne dissemination may be another possibility. Indeed, F. psychrophilum is able to survive in pure water [39] and freshwater bacteria -including Flavobacteriaceae- were recently sampled in the upper troposphere [40]. Alternatively, genetic mixing can involve a succession of more frequent small-distance steps. The DLV link between ST44 sampled in Japan from H. nipponensis and ST104 sampled in France from rainbow trout might be a footprint of natural dissemination. Both ST have been sampled only once and are not connected to other genotypes, which suggests that the ST44/ST104 lineage infects farmed fish only sporadically and should thus not be prone to dissemination by human activities.

In sharp contrast, the three ST also reported in other countries (ST9, ST10 and ST13) are associated to rainbow trout and coho salmon. These are two fish species with wide geographical distribution and whose eggs and broodfish have been imported to Japan (vertical transmission from parent to offspring via eggs is highly suspected [41]). Two other ST that we found in Japan are connected by SLV links to ST found abroad: ST17, sampled twice from rainbow trout, is linked to the main rainbow trout clonal complex (CC-ST2); and CC-ST56, infecting ayu and cyprinids in Japan, is linked to ST14 sampled from a carp in Germany. In both cases, commercial exchanges may be invoked to explain these SLV links between Japanese and European isolates. Namely, carps have been traded between Japan and Europe, and rainbow trout have been imported from North America to both Japan and Europe. Of note, the diversity of CC-ST48/CC-ST56 found in Japan is a strong indication that dissemination of this lineage occurred from Japan to Europe rather than the contrary; altogether we found no indication suggesting that strains infecting ayu might have been recently imported from foreign sources.

Population structure in the model river

Extensive sampling of a model river unveils an unanticipated level of diversity in a restricted geographical area. We found 12 different ST in the model river and a general pattern of polymorphism surprisingly similar to that of the whole country and worldwide levels. Namely, the average pairwise nucleotide difference between the ST was 4.8 Kbp-1 and fish host accounted for 51.2% of the molecular variance.

The isolates from the model river include representatives of the three clonal complexes reported in ayu. The majority of ayu isolates belonged to ST52 and this ST was observed over several seasons (i.e., August 2005, October 2005, April 2006, June 2006, and September 2006). Simultaneously, strains displaying ST52 were also isolated from numachichibu and a water sample suggesting contamination by ayu. A geographical population structure could explain the dominance of CC-ST52 in the model river not seen at the country level. However, at least two other factors may contribute to this difference: a temporal evolution of relative frequencies, since most isolates sampled at the country level were collected years before the sampling of the model river; and the fish sampling strategy, since sampling in the model river was performed irrespectively of disease symptoms and CC-ST52 seems less virulent [14]. Seven ST (ST59, ST60, ST61, ST62, ST63, ST64, and ST66) not connected to those found in ayu were retrieved from river water, a case of caddisfly, and several local fish. These strains were isolated in November 2005, November 2006 and December 2006, when ayu are absent from the river due to their one-year life cycle ending after spawning in the autumn. Six of these strains (no data available on ST66) showed no pathogenicity against ayu [14]. These ST may have gone unnoticed if other fish species and the environment had not been sampled.

Importantly, co-infection of the same individual fish by different lineages was detected four times in ayu (Table 1). This observation could have a practical interest in the context of disease prevention or treatment but could also have important evolutionary implications. In particular, co-infection might promote evolution towards higher virulence [36], in particular if distinct transmission modes –horizontal and vertical- are involved [42]. The local diversity of F. psychrophilum genotypes detected in the model river, which goes down to the level of the individual host fish, also certainly contributes to explain the very high recombination rate detected in the species on the basis of MLST data [17,43]. Indeed, a greater local diversity provides more opportunities to exchange alleles and therefore directly increases the apparent recombination rate and the actual genetic mixing.

Abbreviations

BCWD: Bacterial cold water disease; PCR: Polymerase chain reaction; PBS: Phosphate buffered saline; MLST: Multilocus sequence typing; CC: Clonal complex; ST: Sequence type; AT: Allele type; SLV: Single locus variant; DLV: Double locus variant.

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

EFN performed fish sampling in the model river, bacterial isolation, and contributed to sample processing, data analysis and writing of the manuscript. CCD contributed to the development and optimization of the MLST scheme and to sample processing. JFB and ME contributed to data analysis and presentation of the results. ED initiated the project and contributed to data analysis. PN analyzed the data and wrote the manuscript. All authors read and approved the final manuscript.

Acknowledgements

We are grateful to the organizations listed in Additional file 1 for providing F. psychrophilum strains. We also wish to thank Dr K. Sugahara, J. Ikeda, and A. Fukuda for help with field sampling and technical assistance and Dr Keith Jolley at University of Oxford for hosting the F. psychrophilum MLST database. This work received the support of a Grant-in-Aid for Young Scientists, KAKENHI (B) (18780153) and a Grant-in-Aid from the Global Center of Excellence (COE) Program, Japan. EFN was also supported by Research Fellowships from the Japan Society for the Promotion of Science for Young Scientists and PN, CCD, JFB and ED by ANR (ANR-07-GMGE-004 Flavophylogenomics) and EU EMIDA ERA-NET (ANR 2010-EMID-006-01 Pathofish).

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