Accepted Manuscript Complete genome sequence analysis of the fish pathogen Flavobacterium columnare provides insights into antibiotic resistance and pathogenicity related genes Yulei Zhang, Lijuan Zhao, Wenjie Chen, Yunmao Huang, Ling Yang, V. Sarathbabu, Zaohe Wu, Jun Li, Pin Nie, Li Lin PII:
S0882-4010(17)30962-2
DOI:
10.1016/j.micpath.2017.08.035
Reference:
YMPAT 2425
To appear in:
Microbial Pathogenesis
Received Date: 5 August 2017 Revised Date:
29 August 2017
Accepted Date: 30 August 2017
Please cite this article as: Zhang Y, Zhao L, Chen W, Huang Y, Yang L, Sarathbabu V, Wu Z, Li J, Nie P, Lin L, Complete genome sequence analysis of the fish pathogen Flavobacterium columnare provides insights into antibiotic resistance and pathogenicity related genes, Microbial Pathogenesis (2017), doi: 10.1016/j.micpath.2017.08.035. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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1
Complete genome sequence analysis of the fish pathogen Flavobacterium columnare
2
provides insights into antibiotic resistance and pathogenicity related genes
3
Yulei Zhanga, Lijuan Zhaoa,b*, Wenjie Chenb, Yunmao Huangb, Ling Yangb, V. Sarathbabub,
4
Zaohe Wub, Jun Lib,d,e, Pin Niec*, Li Lina,b,e,f*
5
a
6
China
7
b
8
Guangdong Provincial Key Laboratory of Waterfowl Healthy Breeding, College of Animal
9
Sciences and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou,
RI PT
College of Fisheries, Huazhong Agricultural University, Wuhan, Hubei Province, 430070,
SC
Guangzhou Key Laboratory of Aquatic Animal Diseases and Waterfowl Breeding,
10
Guangdong, 510225, China
11
c
12
Chinese Academy of Sciences, Wuhan, Hubei Province, 430072, China
13
d
14
USA
15
e
16
Laboratory for Marine Science and Technology, Qingdao, Shandong, 266071, China
17
f
18
Guangzhou, Guangdong, 510640, China
19
*
20
E-mail addresses:
21
[email protected] (Y. Zhang),
[email protected] (L. Zhao),
22
[email protected] (W. Chen),
[email protected] (Y. Huang),
23
[email protected] (L. Yang),
[email protected] (V. Sarathbabu),
24
[email protected] (Z. Wu),
[email protected] (J. Li),
[email protected] (P. Nie),
25
[email protected] (L. Lin).
M AN U
State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology,
School of Biological Sciences, Lake Superior State University, Sault Ste. Marie, MI 49783,
TE D
Laboratory for Marine Fisheries Science and Food Production Processes, National
Agro-biological Gene Research Center, Guangdong Academy of Agricultural Sciences,
AC C
EP
Corresponding authors
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Abstract We analyzed here the complete genome sequences of a highly virulent Flavobacterium
28
columnare Pf1 strain isolated in our laboratory. The complete genome consists of a 3,171,081
29
bp circular DNA with 2,784 predicted protein-coding genes. Among these, 286 genes were
30
predicted as antibiotic resistance genes, including 32 RND-type efflux pump related genes
31
which were associated with the export of aminoglycosides, indicating inducible
32
aminoglycosides resistances in F. columnare. On the other hand, 328 genes were predicted as
33
pathogenicity related genes which could be classified as virulence factors, gliding motility
34
proteins, adhesins, and many putative secreted proteases. These genes were probably involved
35
in the colonization, invasion and destruction of fish tissues during the infection of F.
36
columnare. Apparently, our obtained complete genome sequences provide the basis for the
37
explanation of the interactions between the F. columnare and the infected fish. The predicted
38
antibiotic resistance and pathogenicity related genes will shed a new light on the development
39
of more efficient preventional strategies against the infection of F. columnare, which is a
40
major worldwide fish pathogen.
41
Keywords
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related genes
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Flavobacterium columnare; complete genome; antibiotic resistance genes; pathogenicity
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1. Introduction Flavobacterium columnare is a member of the family Flavobacteriaceae and the
47
causative pathogen of columnaris which is a world-wide bacterial fish disease [1-4]. The
48
major clinical signs of columnaris included frayed fins, rotted gills, and skin ulceration,
49
seriously with visceral injury and tissue necrosis [5-7]. According to FAO statistics [8], the
50
total production of fish and the freshwater fish in China reached 45,469 and 26,029.7 kilotons
51
in 2014, resulted in a ratio of 61.62% and 59.76% in the world, respectively. However, the
52
columnaris disease caused high mortality and great economic loss in many kinds of
53
freshwater fishes such as mandarin fish, channel catfish and grass carp in China [9-11].
54
However, currently, the effective prevention strategies against columnaris are still not
55
available.
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The research about the genetic basis for the molecular pathogenesis of F. columnare
57
infection will shed a new light on the development of a practical effective vaccine used for
58
combating fish columnaris. F. columnare has been classified into three genomovars, in
59
accordance with differences in 16S rRNA sequences and restriction fragment length
60
polymorphism (RFLP) of the 16S–23S rDNA spacer [12-15]. Five complete genome of F.
61
columnare strains were presented [16-19] and comparative genomic analysis were conducted
62
between Flavobacterium, revealing F. columnare is capable of denitrification, which would
63
enable anaerobic growth in aquatic pond sediments [16]. However, the systematical
64
researches of pathogenesis and antibiotic resistance mechanisms of F. columnare are
65
unavailable. We have isolated a highly virulent F. columnare Pf1 strain from the diseased
66
yellow catfish (Pelteobagrus fulvidraco) in our laboratory [20]. To illustrate the genetic
67
properties of the F. columnare Pf1 strain, here we utilized the single-molecule real-time
68
(SMRT) technology and Illumina sequencing to determine the complete genome sequences of
69
the strain. The results showed that F. columnare Pf1 strain belonged to genomovar I. Analysis
70
of the complete genome sequence of Pf1 revealed a number of genes declared in F. columnare
71
for adaptation to broad host niches and provided insights into the disease mechanisms and
72
drug targets in microorganism.
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2. Materials and methods
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2.1 Bacteria isolated, sequencing and annotation
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F. columnare strain Pf1 was isolated from diseased yellow catfish (P. fulvidraco) in our
76
laboratory [20]. The genomic sequencing annotation methods were presented in our previous
77
brief announcement [19], with the GenBank accession number CP016277 We constructed a
78
circle map of Pf1 genome using the online software Circos (http://circos.ca/).
79
2.2 Construction of phylogenetic tree
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F. columnare belongs to Cytophaga-Flavobacterium-Bacteroides Taxa (CFB). The 16S
81
rDNA gene sequences of selected species including Flavobacterium, Cytophaga, Bacteroides
82
genus were obtained from the GenBank databases (Supplementary table S1). The sequences
83
were aligned using CLUSTALX, and the phylogenetic tree was obtained using MEGA 6
84
software of neighbor-joining method [21,22], with the bootstrap values of 1000 replicates.
85
The Bacteroides distasonis in the same family as outgroup.
86
2.3 Pathogenic factors and antibiotic resistance genes annotation
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To identify the pathogenic factors and antibiotic resistance genes, all the predicted gene
87
and
sequences
were
blasted
to
virulence
factor
database
(VFDB)
89
(http://www.mgc.ac.cn/VFs/) [23,24] and comprehensive antibiotic resistance database
90
(CARD) (https://card.mcmaster.ca/) [25,26]. The VFDB is an integrated and comprehensive
91
online resource for curating information about virulence factors of bacterial pathogens. The
92
CARD database provided a centralized compendium of information on antibiotic resistance
93
and facilitated the consistent annotation of resistance information in newly sequenced
94
organisms and identification of new genes.
95
3. Results and discussion
96
3.1 General features of the complete chromosome sequence and comparison
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The complete genome of F. columnare Pf1 strain consists of a single circular
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chromosome of 3,171,081 bp, with an average G + C content of 31.6%. The relatively high
99
number of rRNA and tRNA genes, 18 and 81 respectively, is in consistence with the rather
100
rapid growth of the bacterium [27,28]. The chromosome is predicted to contain 2,784
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protein-coding genes with an average length of 982 bp, representing 86.19% of the genome.
102
Among them, 1,664 (59.77%) genes are assigned to a functional category of Cluster of
103
Orthologous Groups (COGs) and the remaining are annotated as hypothetical proteins or
104
proteins of unknown functions. We compared our obtained sequence data of F. columnare
105
strain with other Flavobacterium species (Table 1), Pf1 was nearly the same size and GC
106
content with F. columnare ATCC 49,512 (3.16 Mb) and TC 1,691 (3.03 Mb), which two
107
belong to genomovar I, but smaller than F. columnare 94-081 (3.32 Mb) and C#2 (3.33 Mb)
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belong to genomovar II. All of the Flavobacterium strains have low G + C content. Only F.
109
psychrophilum JIP/86 and F. branchiophilum FL-15 carry plasmids. The number of total
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genes, CDS, and RNAs were different to other genomes, revealed extensive sequence
111
diversity within the species.
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The circle map of F. columnare Pf1 genome was shown in Figure 1. Circle 1 (from
113
outside to inside) is the heat map of G+C percentage content, while the higher value makes
114
redder and the lower makes bluer. The histogram on circle 2 represents GC skew, when the
115
values of (G–C)/(G+C) is greater or less than zero was shown in red or blue. Circle 3 and 4
116
showed the plus and minus strands protein-coding genes according to COGs categories,
117
respectively. There are some multiple copy genes existed in the genome are linked by green
118
Bezier curve in the internal circle.
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Table 1. General features of the ten Flavobacterium genomes. Size
origin
(Mb)
F. columnare Pf1
China
3.17
31.6
2,883
2,784
982
F. columnare ATCC 49512
France
3.16
31.5
2,787
2,642
1,021
F. columnare TC 1691
China
3.03
31.6
2,676
2,576
–
F. columnare 94-081
United States
3.32
30.8
2,897
2,779
F. columnare C#2
United States
3.33
31.0
2,879
2,744
France
2.86
32.5
2,519
F. johnsoniae UW101
England
6.10
34.1
–
F. branchiophilum FL-15
Hungary
3.56
32.9
3,087
F. indicum GPTSA100-9T
India
2.99
31.8
2,787
F. enshiense DK69T
China
3.38
37.7
3,054
genes
Average CDS
%Coding
size (bp)
region
rRNA
tRNA
Plasmid
GenBank No.
86.2
18
81
None
CP016277.1
85.2
15
74
None
CP003222.2
–
22
75
None
CP018912.1
–
–
12
74
None
CP013992.1
–
–
39
93
None
CP015107.1
SC
CDS
2,432
1,003
84.5
18
49
pCP1
AM398681.2
5,056
1,061
87.3
18
62
None
CP000685.1
2,867
1,030
82.9
9
44
pFB1
FQ859183.1
2,671
–
–
12
55
None
HE774682
2,848
986
83.2
9
46
None
JRLZ00000000
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Total
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F. psychrophilum JIP02/86
%GC
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Bacteria strain
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Geographical
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Figure 1. Circular representation of the F. columnare Pf1 genome. The outer scale is in mega bases
124
(Mb). Circle 1 (from outside to inside), the heat map of G+C percentage content. Circle 2, GC skew.
125
Circle 3 and 4, plus and minus strands protein-coding genes according to COGs categories,
126
respectively. Multiple copies genes are linked by green Bezier curve in the internal circle. (COGs
127
classification in colors representative: C: Energy production and conversion; D: Cell division and
128
chromosome partitioning; E: Amino acid transport and metabolism; F: Nucleotide transport and
129
metabolism; G: Carbohydrate transport and metabolism; H: Coenzyme metabolism; I: Lipid
130
metabolism; J: Translation, ribosomal structure and biogenesis; K: Transcription; L: DNA replication,
131
recombination, and repair; M: Cell envelope biogenesis, outer membrane; N: Cell motility and
132
secretion; O: Post-translational modification, protein turnover, chaperones; P: Inorganic ion transport
133
and metabolism; Q: Secondary metabolites biosynthesis, transport, and catabolism; R: General
134
function prediction only; S: Function unknown; T: Signal transduction mechanisms; U: Intracellular
135
trafficking and secretion; V: Defense mechanisms; –: No COGs Annotation.)
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3.2 Phylogenetic analysis and genotyping
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Based on the 16S rRNA gene sequences, a neighbor-joining phylogenetic tree was constructed
138
in the study. All the F. columnare strains were clustered into three branches and the strain Pf1
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139
was belonged to genomovar I (Figure 2). Our results were corresponding well to the previous
140
studies that F. columnare were divided into three genomovars (I, II, and III), respectively
141
[12-15]. 8 3
KE 02 XF
2
8239/ 97
7
3294/ 95
9
OS 03
23
Htan5 03 1397/ 00 52 10
F10-HK-A
F. columnare Genomovar I
ATCC 23463 ● Pf1
31
SC
59
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ATCC 49512
6
IAM 14301
99
FK 401
96
ARS-1
80
ATCC 49513
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LN1311 C5
60
8128/ 97
54 84
40
A8
BJ4
3
G4
1
G18
2
10
X1 Z0
99 100
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72
60
LV339-01
51
EK-28
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PT-14-00-151 Ga-6-93 Z13
32
Z6
42
HJ
28
B2
22
H10
18
QJH-2
AC C
7 14
Z4 AU-98-24 GA-02-14
100
32
F. columnare Genomovar III
99
PH-97028
100
IFO 15970
F. johnsoniae
IFO 14942
F. johnsoniae
100
97 60
100
67
142 143
F. columnare Genomovar II
ALG-00-530 62
61
100
LP 8
DSM 2063
F. hydati
IAM 12365
F. hydati
CSF 259-93
F. psychrophilum
ATCC 49418
F. psychrophilum
IAM 12650
C. arvensicola
NCIMB 8628
C. aurantiaca
ATCC 8503
B. distasonis
ATCC 33236
B. gracilis
Figure 2. Phylogenetic tree based on 16S rDNA sequences of the species in Flavobacterium,
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Cytophaga, and Bacteroides.
3.3 Carbon-nitrogen metabolism and transports of F. columnare The first Flavobacterium metabolic pathways were constructed by Duchaud et al. [29]
147
with strain of F. psychrophilum JIP02/86. Carbon-nitrogen metabolism of F. columnare Pf1
148
was established using the Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway
149
Database annotation [30,31] (Figure 3). Among them, 33 genes encoding the enzymes of
150
glycolysis (except glucose kinase), gluconeogenesis, pentose phosphate pathway, citrate cycle,
151
and fructose and mannose metabolism were identified in this study. However, the genes
152
involved in sugar kinase and phosphotransferase systems were not existed, which are usually
153
used by bacteria for specific carbohydrate uptake. Actually, F. columnare is unable to use
154
cellulose [32] or starch [3] directly as sources of carbon and energy, but instead by other
155
pathways to acquire nutrients from their host for survival. The 6-phosphofructokinase 1
156
(Pf1_00390) and pyruvate kinase (Pf1_01219) are two important enzymes which can regulate
157
the rate of reaction in glycolysis. Moreover, compared genomic analysis showed that some
158
carbohydrate metabolism components and pathways are unique, such as starch and sucrose
159
utilization pathways are present only in F. johnsoniae and F. branchiophilum [16]. Diversity
160
pathways of amino acids biosynthesis and metabolism reflect a highly self-sufficient and
161
unique style in utilizing nutrients. Totally 70 genes in nitrogen metabolism pathways were
162
presented, including glycine, serine and threonine metabolism, phenylalanine, tyrosine and
163
tryptophan biosynthesis, valine, leucine and isoleucine degradation, alanine, aspartate and
164
glutamate metabolism, arginine and proline metabolism, and histidine metabolism. Genome
165
analysis of F. columnare ATCC 49512 indicated it is capable of denitrification, which would
166
enable anaerobic growth in aquatic pond sediments [16]. After the amino acid degradation, all
167
the nitrogen was excreted in the form of putrescine and NH3.
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Beside the carbon-nitrogen metabolism in cytoplasm, the transporters are played
169
important roles in nutrition absorption and waste efflux. Gene clusters involved in substance
170
exchange on cytomembrane are shown in Figure 3. ATP-binding cassette transporters (ABC
171
transporters) utilize the energy of ATP binding and hydrolysis to transport various substrates
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across cellular membranes. Bacterial ABC transporters and secretion systems are essential in
173
cell viability, virulence, and pathogenicity [33,34]. Seven subclasses of ABC transporter
174
proteins were identified in Pf1 based on different substrates. Pathogens use siderophores to
175
scavenge iron that is in complex with high-affinity iron-binding proteins or erythrocytes [35].
176
Four iron complex transport system substrate-binding proteins (Pf1_00438, Pf1_02478,
177
Pf1_02477, Pf1_02475) were identified, indicating an efficient iron uptake system and
178
important virulence factors in Pf1.
179
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Figure 3. Overview of metabolisms and transports in F. columnare Pf1. Different transport families
181
are distinguished by different colors and shapes. From top left going clockwise: ABC transporter
182
proteins (blue), secretion systems (orange), ions (green), nutrients (purple), polysaccharide export
183
(red), drug/metabolite efflux (pink). Arrows indicate the direction of transport. All the amino acid
184
biosynthesis genes and transports are listed in Supplementary table S2.
185
Total of 16 secretion related proteins were discerned including specialized secretion
186
systems of T1SS (H1yB), T2SS (Protein E), and T6SS (VgrG) in Gram negative bacteria.
187
Some secreted proteins are translocated across the cytoplasmic membrane by the Sec
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translocon, which requires the presence of an N-terminal signal peptide on the secreted
189
protein. Others are translocated across the cytoplasmic membrane by the twin-arginine
190
translocation pathway (Tat). Studies on type VI secretion suggested a broader physiological
191
role in defense against simple eukaryotic predators and its role in inter-bacteria interactions
192
[36].
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The breakdown of host proteins by the secreted proteases results in a mixture of amino
194
acids and oligopeptides that probably constitute the main source of carbon, nitrogen and
195
energy. Six importers probably involved in the uptake of host proteins degradation products
196
were identified, three of which were proton-dependent or proton-symport proteins
197
(Pf1_01932, Pf1_01931, and Pf1_00484). Except for organic matters absorption, inorganic
198
ions efflux through relevant transporters such as sodium, potassium, ferrous iron,
199
magnesium/cobalt, chloride, sulfate, phosphate, and nitrate were existed. TonB-dependent
200
receptors in gram-negative bacteria carry out high-affinity binding and energy-dependent
201
uptake of large substrates into the periplasmic space such as iron siderophore complexes
202
[37,38]. Plenty of ion channels on membrane provide sufficient nutrients for bacterial basic
203
requirements of growth.
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The secretion of exopolysaccharides by bacterium with high viscosity provides a
205
beneficial environment for living and invading. F. columnare can secrete plenty of
206
exopolysaccharides under oligotrophic environment or during infection. Two polysaccharide
207
exporters (Pf1_103, Pf1_00125) were identified relevantly in the genome which must assist to
208
transporting polysaccharides from the cytoplasm to the periplasm with energy consumption.
209
Resistance-nodulation-division (RND) family and the major facilitator superfamily (MFS)
210
transporters are two categories of bacterial efflux pumps, especially identified in
211
Gram-negative bacteria and located in the cytoplasmic membrane, that actively transport
212
substrates [39,40]. The MFS family was originally believed to function primarily in the
213
uptake of sugars but subsequent studies revealed that drugs, metabolites, oligosaccharides,
214
amino acids and oxyanions were all transported by MFS family members [41]. Totally 13
215
drug/metabolite efflux genes were presented in Pf1 genome to drive transport utilizing the
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electrochemical gradient of drugs. And on the other hand, 23 genes involved in antibiotic
217
biosynthesis genes in 7 KEGG pathways were find (Supplementary table S3), indicating that
218
the bacterium may secrete antibiotics to inhibit competitors and adapt to the environment
219
better.
220
3.4 Pathogenicity factors
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After all the annotated gene sequences were blasted to virulence factor database (VFDB),
222
328 genes were predicted as pathogenicity related genes which could be classified as
223
virulence factors, gliding motility proteins, adhesins and many putative secreted proteases.
224
These genes were probably involved in the colonization, invasion and destruction of fish
225
tissues during the infection of F. columnare.
226
3.4.1 Virulence factors
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According to previous studies about pathogenic bacteria and the interactions with their
228
hosts, 13 putative factors involved in virulence in F. columnare were identified, which were
229
associated with bacteria invasion, nutrition scramble, and destruction of host physiology
230
during infection (Table 2). 8 of 13 genes are involved in iron absorption and utilization,
231
including two IucA/IucC family proteins (Pf1_02172, Pf1_02174), a siderophore biosynthetic
232
enzyme (Pf1_02176), three coproporphyrinogen III oxidases (Pf1_00890, Pf1_01643, and
233
Pf1_01775), and two hemolysins (Pf1_01169, Pf1_01214). Iron is a necessary nutritional
234
factor in the process of bacterial metabolism. The minimum concentration of iron intake for
235
bacterial growth is about 10-6 mol/L, but there is only about 10-18 mol/L in normal body fluid.
236
The capacity of bacteria acquired iron from the host is related to its pathogenicity. The
237
pathogenic E.coli uptakes iron from host by producing iron associative compounds (including
238
aerobactin and enterobactin) or secreting hemolysins. Aerobactin is a bacterial iron chelating
239
agent (siderophore) found in E. coli [42]. The aerobactin operon is roughly 8 kb long and
240
contains 5 genes (iucA, iucB, iucC, iucD, and iutA) in total [43]. Bacterial hemolysins are
241
cytolytic toxins that cause lysis of red blood cells by destroying their cell membrane, are
242
important virulence factors. In another fish pathogen Vibrio anguillarum, toxin VAH5 is able
243
to lyse rainbow trout erythrocytes and a VAH5 mutant showed attenuated virulence [44]. In
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Gram-negative organisms, the coproporphyrinogen III oxidase is an enzyme participate in
245
heme synthesis, which is the second major point of regulation genes [45]. In Pf1, the two
246
hemolysins may have a similar role in pathogenicity and cooperate with secreted proteases for
247
tissue destruction. These genes annotated in F. columnare as virulent factors, suggesting a
248
typical strategy of bacteria in scrambling iron for survival and infecting host.
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Chondroitin AC lyase (chondroitinase, Pf1_01408) may cause the necrotic lesions by
250
degrading chondroitin in the extracellular matrix of fish tissue [46]. The F. columnare isolates
251
from cold water exhibited significantly greater chondroitinase activity than isolates from
252
warm water, suggested that chondroitinase activity may be correlated with virulence [47,48].
253
Internalin A (InlA, Pf1_01412) is a surface protein used by the bacteria to invade host cells
254
via cadherins transmembrane proteins [49]. Internalins include two forms (InlA and InlB) are
255
mainly surface-exposed virulence factors present in a number of gram-positive bacteria whose
256
role ranges from recognition of cellular receptors to aid in pathogen entry to escape from
257
autophagy [50].
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Table 2. Putative factors of F. columnare Pf1 involved in virulence. Product IucA/IucC family protein IucA/IucC family protein Siderophore biosynthetic enzyme Coproporphyrinogen III oxidase Coproporphyrinogen III oxidase Coproporphyrinogen III oxidase Hemolysin D Hemolysin Chondroitin AC lyase Thermolysin Peptidase M4, thermolysin Muramidase Internalin A
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Length (bp) 1,812 2,418 1,323 1,365 906 1,056 954 1,812 2,286 2,988 2,709 942 942
AC C
Gene Pf1_02172 Pf1_02174 Pf1_02176 Pf1_00890 Pf1_01643 Pf1_01775 Pf1_01169 Pf1_01214 Pf1_01408 Pf1_00712 Pf1_01445 Pf1_02300 Pf1_01412
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258
SC
249
259 260
3.4.2 Motility and adhesion
261
In this study, 11 gld genes (gldA, -B, -D, -F, -G, -H, -I, -J, -K, -M, and -N) involved in
262
the gliding motility were identified (Table 3), identically with F. johnsoniae (except gldN or
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gldL) [51]. F. columnare infected on fish move rapidly over surfaces by two movement
264
patterns, one is gliding motility, an active movement that does not involve pili or flagella, and
265
another is swing one side, with another side attached. Cells with mutations in any of gliding
266
genes are completely nonmotile, and they form nonspreading colonies exhibit no movement
267
on agar or glass surfaces. Another two MotB-related proteins (Pf1_00564, Pf1_01212) were
268
also found, known as the component of the flagellar motor driving the flagella rotation [52].
269
But, no genes encoding flagella, pili or any motility organelles were found in the F. columnare
270
genome, indicating the two proteins may assist to swing or did other functions.
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We identified 8 genes probably involved in bacterial adhesion, including 3 fibronectins
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and 5 adhesins (Table 3). Adhesion mechanisms are greatly diversified among bacteria and
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are of particular importance in pathogenicity. Fibronectin plays a major role in cell adhesion,
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growth, migration, and differentiation, and it is important for processes such as wound healing
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and embryonic development [53]. SprD (Small pathogenicity island RNA D) is a non-coding
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RNA expressed on pathogenicity islands in Staphylococcus aureus and significantly
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contribute to causing disease in an animal model [54]. Those surface structures mediating
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adherence and pathogen-host recognition seem to be the most important properties for the
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initiation of infection process in F. columnare.
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Table 3. Putative genes of F. columnare Pf1 involved in motility and adhesion. Length (bp) 993 1,386 1,449 996 1,704 732 1,668 597 894 489 504 855 969 897 2,079
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Gene Pf1_01995 Pf1_02102 Pf1_02104 Pf1_02105 Pf1_02246 Pf1_00019 Pf1_00020 Pf1_00893 Pf1_01034 Pf1_01167 Pf1_01450 Pf1_00564 Pf1_01212 Pf1_01763 Pf1_02370
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Product Gliding motility protein GldB Gliding motility protein GldK Gliding motility protein GldM Gliding motility protein GldN Gliding motility lipoprotein GldJ Gliding motility protein GldF Gliding motility protein GldG Gliding motility lipoprotein GldI Gliding motility protein GldA Gliding motility protein GldD Gliding motility protein GldH Flagellar motor/chemotaxis (MotB)-related lipoprotein Flagellar motor/chemotaxis (MotB)-related protein Fibronectin type III domain-containing protein Fibronectin type III domain protein
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Fibronectin type III domain-containing protein Adhesin precursor SprC Cell surface protein precursor SprD Putative adhesin Putative adhesin Adhesin SprB
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3.4.3 Putative secreted proteases
Twenty-five putative secreted proteases were identified in the F. columnare genome,
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including 15 metalloproteases, 7 serine proteases and 3 endopeptidas (Table 4). In general,
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pathogenic bacteria release proteases to break down proteins of the host’s extracellular matrix
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when attaching onto host surfaces [55], thus causing necrotic lesions [56]. Studies in F.
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psychrophilum also certified that proteases were among its most important virulence factors
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and leaded to rapid and massive tissue destruction [29,57]. Some extracellular proteases and
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membrane-associated zinc metalloproteases of F. columnare were characterized which was
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considered virulence factors [58,59].
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Most metalloproteases require zinc (such as Pf1_01415, Pf1_01566), but some use
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cobalt (such as Pf1_00647). The metal ion is coordinated to the protein via three ligands,
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which coordinating the metal ion can vary with histidine, glutamate, aspartate, lysine, and
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arginine. The metalloprotease Fpp2 of F. psychrophilum hydrolyzes a broad range of
295
substrates, including basic elements of muscular tissues [60]. The oligopeptidase PepO from
296
Streptococcus thermophilus A was estimated to be a serine metallopeptidase and contains the
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signature sequence of the metallopeptidase family [61]. Pathogenic fungi secrete
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endopeptidases belonging to the fungalysin family of metalloproteases that cleave
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extracellular matrix proteins and are involved in the breakdown of proteinaceous structural
300
barriers during host tissue colonization [62]. A similar mechanism may apply for F. columnare,
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in that we identified a paralogous gene Pf1_0182, predicted to encode metalloprotease of the
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fungalysin family. A correlation between proteolytic activity and the virulence of F.
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psychrophilum was found in cold temperature, indicating that M43 cytophagalysin may be
304
involved in pathogenesis through destruction of host tissues [63].
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Serine proteases are enzymes that cleave peptide bonds in proteins, in which serine
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serves as the nucleophilic amino acid at the active site. We identified 7 serine proteases
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including prolyl oligopeptidase in peptidase S9 family and subtilisin kexin sedolisin peptidase
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S8/S53 family. Endopeptidase Clp hydrolyze proteins to small peptides in the presence of ATP
309
and Mg2+. This bacterial enzyme contains subunits of two types, ClpP (Pf1_01880), with
310
peptidase activity, and ClpA (Pf1_01712, Pf1_02751), with ATPase activity [64,65]. Table 4. Putative proteases of F. columnare Pf1 involved in the destruction of host tissues.
312 313
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Product M1 family metalloprotease precursor M1 family metalloprotease precursor M13 family metallopeptidase PepO precursor M36 fungalysin family metalloprotease precursor M43 cytophagalysin family metalloprotease precursor M48 family metalloprotease YggG M48 family metalloprotease M50 family membrane-associated zinc metalloprotease precursor Peptidase membrane zinc metallopeptidase Cobaltochelatase, CobN subunit Metalloprotease Fpp2 precursor Metalloprotease Metalloprotease Metallopeptidase Metalloendopeptidase Endopeptidase ClpP Endopeptidase ClpA Endopeptidase ClpA Serine endopeptidase Serine endopeptidase Serine protease Prolyl oligopeptidase Peptidase S9 prolyl oligopeptidase Protease DegQ precursor Peptidase S8/S53 subtilisin kexin sedolisin
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Length (bp) 1,956 1,641 2,013 2,733 954 825 816 1,350 699 3,735 2,832 906 903 942 2,040 657 2,469 2,610 1,614 1,611 1,452 2,118 1,851 1,386 6,408
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Gene Pf1_01414 Pf1_02695 Pf1_01410 Pf1_01821 Pf1_00384 Pf1_01904 Pf1_02730 Pf1_01415 Pf1_01566 Pf1_00647 Pf1_00130 Pf1_00292 Pf1_00293 Pf1_02253 Pf1_02720 Pf1_01880 Pf1_01712 Pf1_02751 Pf1_00518 Pf1_01269 Pf1_02142 Pf1_02712 Pf1_01199 Pf1_02403 Pf1_01355
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3.5 Antibiotic resistance
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The treatment of infections is increasingly compromised by the ability of bacteria to
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develop resistance to antibiotics through mutation or acquisition of resistance genes. Regular
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blast DNA and protein sequences on CARD helped us to identify and annotate new potential
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resistance genes in F. columnare. In this report, 286 genes were predicted as antibiotic
318
resistance genes blasted with CARD. Among them, 32 genes were annotated as
319
resistance-nodulation-cell division (RND)-type efflux pumps (Table 5), which are tripartite
320
complexes form a channel to facilitate drug export across the inner and outer membranes,
321
driven by the proton motive force [66,67]. In particular, increased expression of adeABC and
322
adeIJK, the two RND-type efflux pumps, has been associated with a multidrug resistance
323
phenotype, specifically with the export of aminoglycosides [68,69]. AdeB is the multidrug
324
transporter of the adeABC efflux system, and adeI is the membrane fusion protein of the
325
adeIJK multidrug efflux complex. AdeABC expression is controlled positively by the
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two-component regulatory system adeRS, whereas adeR inactivation leads to susceptibility of
327
aminoglycoside antibiotics [70]. In Pf1, 2 adeB, 6 adeI, 19 adeR, and adeS genes were
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predicted in the genome, indicating an inducible aminoglycoside resistance in F. columnare.
329
Actually, a kanamycin resistance strain of F. columnare (strain Pf1-Ka) was induced by
330
gradual increasing kanamycin concentration in our lab, with the tolerance concentration 500
331
µg/mL. Transcriptome and proteome analysis between Pf1 and Pf1-Ka were conducted to
332
identify pivotal genes and proteins, as well as the biological pathways in kanamycin
333
resistance of microorganism (unpublished data). The current results support our genome
334
research analysis convincingly and lay a foundation for the further study on the mechanism of
335
drug resistance in F. columnare.
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Table 5. The aminoglycoside resistant genes predicted in F. columnare Pf1.
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Name acrF acrF/adeB acrF/adeB
Length (bp) 2,421 4,314 3,375
Pf1_00342 Pf1_00951 Pf1_01120 Pf1_01169 Pf1_01692 Pf1_01861 Pf1_00318
adeI adeI adeI adeI adeI adeI adeR
1,083 1,086 1,206 954 1,140 1,305 705
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Gene Pf1_01128 Pf1_01119 Pf1_01693
Product Exporter Putative multidrug resistance protein Multidrug resistance protein precursor AcrB/AcrD/AcrF family protein Secretion protein HlyD family protein Secretion protein HlyD family protein RND family efflux transporter MFP subunit Hemolysin D Membrane fusion efflux protein precursor Membrane fusion efflux protein Two-component system response regulatory protein RprY
ACCEPTED MANUSCRIPT
696 720
Pf1_01370 adeR
684
Pf1_01428 Pf1_01434 Pf1_01443 Pf1_02641
adeR adeR adeR adeR
363 720 1,212 1,164
Pf1_02719 Pf1_00023 Pf1_00382 Pf1_00910 Pf1_02660 Pf1_00317
adeR adeR/adeS adeR/adeS adeR/adeS adeR/adeS adeS
1,545 2,202 3,975 2,178 2,193 1,548 978
Pf1_01430 Pf1_01432 Pf1_01652 Pf1_00950 Pf1_01168 Pf1_01691 Pf1_01860
1,938 1,047 1,377 1,320 1,419 1,323 1,446
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4. Conclusions
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adeS adeS adeS tolC tolC tolC tolC
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Pf1_01369 adeS
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Pf1_00864 adeR Pf1_01055 adeR
LytTR family two component transcriptional regulator Two-component system response regulatory protein LytTR family two component transcriptional regulator Two-component system response regulatory protein involved in phosphate regulation Two-component system response regulatory protein Two-component system response regulatory protein Putative glycosyltransferase Two component sigma-54 specific Fis family transcriptional regulator Two-component system response regulatory protein Integral membrane sensor hybrid histidine kinase Multi-sensor hybrid histidine kinase Two-component system sensor histidine kinase PAS/PAC sensor hybrid histidine kinase Two-component system sensor histidine kinase RprX Two-component system sensor histidine kinase involved in phosphate regulation Sensory transduction histidine kinase Two-component system sensor histidine kinase Two-component system sensor histidine kinase Putative outer membrane efflux protein Outer membrane efflux protein Outer membrane efflux protein precursor Putative outer membrane transport/efflux protein
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Comprehensive sequence analysis of F. columnare, from the metabolism, virulence
340
factors, adhesion and antibiotic resistance, revealed a combination of strategies to colonize
341
and degrade fish tissues and to exploit proteinaceous compounds for growth. The various
342
candidate virulent factors together with its strong adhesive properties probably contribute to
343
its dissemination in aquacultures worldwide with strong virulence. Moreover, the antibiotic
344
resistance genes analysis provided the medication guidance for the bacterial infection. Thus,
345
the genetic analysis of F. columnare genome sequence should facilitate the understanding of
346
flavobacterial virulence mechanisms in fish and provide a basis for the development of better
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control strategies.
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Supplementary Materials:
350
Table S1. 16S rDNA sequences used in the present study with their derived bacteria and hosts.
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Table S2. Amino acid biosynthesis genes and transports in F. columnare Pf1.
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Table S3. Antibiotic biosynthesis related genes in Pf1 genome.
354
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Acknowledgements:
This study was jointly supported by National Natural Science Fund (31572657,
356
31372563, 31602190); Special funds from the Administration of Ocean and Fisheries of
357
Guangdong Province (A201512C003; 2015-115); Special fund for Science and technology
358
from Hubei Province (2015BBA228); Fund from Wuhan Science and Technology Bureau
359
(2016020101010089) and “Innovation and Strong Universities” special funds (KA170500G)
360
from the Department of Education of Guangdong Province; Chinese Academy of Sciences
361
(CAS) (XDA08010207).
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Author Contributions: Li Lin, Pin Nie, Lijuan Zhao conceived and designed the
364
experiments; Yulei Zhang, Lijuan Zhao performed the experiments; Yulei Zhang, Lijuan Zhao,
365
Wenjie Chen, Yunmao Huang, Ling Yang, Zaohe Wu and Jun Li analyzed the data; Yulei
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Zhang wrote the draft; Li Lin, Pin Nie, Jun Li and V. Sarathbabu finalized the manuscript.
369 370 371
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Conflicts of Interest:
The authors declare no conflict of interest.
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[67] Damier-Piolle L, Magnet S, Brémont S, Lambert T, Courvalin P. AdeIJK a
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resistance-nodulation-cell division pump effluxing multiple antibiotics in Acinetobacter
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baumannii. Antimicrob Agents Chemother 2008;52:557-62.
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[68] Fournier PE, Vallenet D, Barbe V, Audic S, Ogata H, Poirel L, et al. Comparative genomics of multidrug resistance in Acinetobacter baumannii. PLoS Genet 2006 2(1) e7. [69] Coyne S, Guigon G, Courvalin P, Périchon B. Screening and quantification of the
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expression of antibiotic resistance genes in Acinetobacter baumannii with a microarray.
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Antimicrob Agents Chemother 2010;54:333-40.
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[70] Marchand I, Damier-Piolle L, Courvalin P, Lambert T. Expression of the RND-type
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efflux pump AdeABC in Acinetobacter baumannii is regulated by the AdeRS
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two-component system. Antimicrob Agents Chemother 2004;48:3298-304.
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ACCEPTED MANUSCRIPT Highlights A complete genome map of F. columnare was constructed.
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286 antibiotic resistance genes and 328 pathogenicity related genes were identified.
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Inducible aminoglycosides resistances may occur in F. columnare.
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Gene analysis demonstrated a strong virulent strain of Pf1 during infection.
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