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BMC Veterinary Research

Open Access

Characterization and virulence clustering analysis of extraintestinal pathogenic Escherichia coli isolated from swine in China

  • Yinchu Zhu1, 2,
  • Wenyang Dong1, 2,
  • Jiale Ma1, 2,
  • Lvfeng Yuan1,
  • Hassan M.A. Hejair1, 2,
  • Zihao Pan1, 2,
  • Guangjin Liu1, 2 and
  • Huochun Yao1, 2Email author
Contributed equally
BMC Veterinary ResearchBMC series – open, inclusive and trusted201713:94

https://doi.org/10.1186/s12917-017-0975-x

Received: 30 September 2016

Accepted: 15 February 2017

Published: 8 April 2017

Abstract

Background

Swine extraintestinal pathogenic Escherichia coli (ExPEC) is an important pathogen that leads to economic and welfare costs in the swine industry worldwide, and is occurring with increasing frequency in China. By far, various virulence factors have been recognized in ExPEC. Here, we investigated the virulence genotypes and clonal structure of collected strains to improve the knowledge of phylogenetic traits of porcine ExPECs in China.

Results

We isolated 64 Chinese porcine ExPEC strains from 2013 to 14 in China. By multiplex PCR, the distribution of isolates belonging to phylogenetic groups B1, B2, A and D was 9.4%, 10.9%, 57.8% and 21.9%, respectively. Nineteen virulence-related genes were detected by PCR assay; ompA, fimH, vat, traT and iutA were highly prevalent. Virulence-related genes were remarkably more prevalent in group B2 than in groups A, B1 and D; notably, usp, cnf1, hlyD, papA and ibeA were only found in group B2 strains. Genotyping analysis was performed and four clusters of strains (named I to IV) were identified. Cluster IV contained all isolates from group B2 and Cluster IV isolates had the strongest pathogenicity in a mouse infection model. As phylogenetic group B2 and D ExPEC isolates are generally considered virulent, multilocus sequence typing (MLST) analysis was performed for these isolates to further investigate genetic relationships. Two novel sequence types, ST5170 and ST5171, were discovered. Among the nine clonal complexes identified among our group B2 and D isolates, CC12 and CC95 have been indicated to have high zoonotic pathogenicity. The distinction between group B2 and non-B2 isolates in virulence and genotype accorded with MLST analysis.

Conclusion

This study reveals significant genetic diversity among ExPEC isolates and helps us to better understand their pathogenesis. Importantly, our data suggest group B2 (Cluster IV) strains have the highest risk of causing animal disease and illustrate the correlation between genotype and virulence.

Keywords

Porcine extraintestinal pathogenic Escherichia coli GenotypeVirulenceMultilocus sequence typing

Background

Extraintestinal pathogenic Escherichia coli (ExPEC) is a major pathogenic agent causing disease worldwide. It can lead to many kinds of extraintestinal diseases, including newborn meningitis, sepsis, and urinary tract disease [1]. It has been reported to cause death in animals and humans in Europe and North America [2, 3]. ExPEC can be distinguished from intestinal pathogenic E. coli and commensal E. coli by isolation site and genetic patterns [4]. Based on the isolation site, ExPEC can be classified as uropathogenic E. coli (UPEC), avian pathogenic E. coli (APEC), newborn meningitis E. coli (NMEC) or sepsis E. coli (SEPEC). The infectivity of ExPEC involves various extraintestinal virulence-associated factors in microbe-host interactions, rather than a simple mechanism [5]. Genome plasticity of ExPEC is the basis for rapid adaptation to the changing environment, which in turn increases the diversity of E. coli populations.

ExPEC is a major pathogen in the swine industry, responsible for considerable economic losses [6]. Alongside rapid development of industrial swine husbandry in China, an increasing trend of porcine ExPEC outbreaks has become an urgent problem [7]. Furthermore, the similarities in ExPEC isolates from human and animal infection cases suggest that there is cross-infection potential between different hosts, including humans, companion animals, pigs and birds [8]. I.e., ExPEC has high zoonotic potential, which makes porcine ExPEC a significant danger to public health.

E. coli consists of phylogenetic groups, namely A, B1, B2 and D. Most virulent ExPEC strains belong to group B2, followed by Group D. Generally, isolates assigned to groups A or B1 are less likely to cause disease in healthy animals [9]. The presence of virulence-related (VR) genes has a close connection with the virulence phenotype. Many genes have been identified as VR in ExPEC, and are involved in adhesion (P, S fimbriae, F1C fimbriae, Dr-binding adhesin and type I fimbriae), invasion (ibeA, invasive of brain endothelium), iron acquisition (siderophores), toxicity (hemolysin, vacuolating toxin, cytotoxic necrotizing factor) and surface protection (capsule) [10]. To identify combinations of VR genes associated with disease, the virulence genotyping method has previously been used in studies of UPEC [11]. However, such data is still limited for porcine ExPEC. In this study, we performed virulence genotyping, animal infection experiments and multilocus sequence typing (MLST) analysis, to provide insight into the associations between genotypes, phylogenetic groups and virulence phenotypes of ExPEC.

Results

Hemolytic activity tests

Of 64 tested ExPEC isolates, five produced β-hemolysin in 7% sheep blood agar, namely strains DCE-1, DCE-2, DCE-5, DCE-6, DCE-9.

Prevalence of VFs

The prevalence of VR genes was diverse (Additional file 1). iutA, vat, fimH, traT and ompA appeared in >60% of strains (ompA was observed in all isolates). Among adhesion factors, fimH was the most prevalent (81.2%). Among siderophore factors, iutA (60.9%) was more frequently detected than fyuA, ireA and iroN. The prevalence of cnf1, focG, ibeA, kpsMIII, afa, hlyD, sfaA, papA was <10%, and focG was not detected in any isolate. Table 1 shows these results in detail.
Table 1

Distribution of virulence factors classified according to phylogenetic group

Virulence factors

NO. of ExPEC isolates(%)

 

Total (n = 64;%)

Group A (n = 37;57.8%)

GroupB1 (n = 6;9.4%)

GroupB2 (n = 7;10.9% )

Group D (n = 14;21.9%)

Siderophores

iutA

39(60.1)

24(64.9)a

1(16.7)b

7(100)b

7(50)b

iroN

17(26.6)

4(10.9)a

3(50)b

6(85.7)b

4(28.6)b

fyuA

15(23.4)

5(13.5)a

0(0)a

7(100)b

3(21.4)c

ireA

7(10.9)

3(8.1)

0(0)

1(14.3)

3(21.4)

Adhesins

fimH

52(81.3)

23(62.2)

6(100)

7(103)

11(78.6)

papC

14(21.9)

5(13.5)a

1(16.7)ab

5(71.4)b

3(21.4)b

papA

3(4.7)

0(0)a

0(0)ab

3(42.9)b

0(0)b

sfaA

1(1.6)

1(2.7)

0(0)

0(0)

0(0)

hraA

13(20.3)

4(10.9)a

0(0)a

5(71.4)b

4(28.6)b

afa

3(4.7)

3(8.1)

0(0)

0(0)

0(0)

Toxin

cnf1

5(7.8)

0(0)a

0(0)a

5(71.4)b

0(0)c

hlyD

5(7.8)

0(0)a

0(0)a

5(71.4)b

0(0)c

vat

42(65.6)

23(62.2)

4(66.7)

7(100)

8(57.1)

Miscellaneous

ompA

64(100)

37(100)

6(100)

7(100)

14(100)

ups

7(10.9)

0(0)a

0(0)a

7(100)b

0(0)c

traT

40(62.5)

30(81.1)a

4(66.7)ab

3(42.9)b

3(21.4)b

Invasion

ibeA

2(3.1)

0(0)a

0(0)ab

2(28.6)b

0(0)b

Capsule

     

kpsMII

10(15.7)

0(0)a

0(0)a

7(100)b

3(21.4)c

kpsMIII

1(1.6)

0(0)

0(0)

0(0)

1(7.1)

a,b,c P < 0.05

Phylogenetic group classification revealed that 9.4% (6/64) of the porcine ExPEC isolates belonged to group B1, 10.9% (7/64) to group B2, 57.8% (37/64) to group A and 21.9% (14/64) to group D. The phylogenetic group classification was associated with genetic patterns. The average number of VR genes in phylogenetic group B2 (12.1) was significantly higher than that in groups A (4.4), B1 (3.8), and D (4.3) (Fisher test, P < 0.05). hlyD, ibeA, usp, cnf1, papA were only observed in group B2 and sfaA, afa were only detected in group A. ireA, papA, sfaA, afa, kpsMIII, ibeA were rarely detected in any of the phylogenetic groups. Additional file 2: Table S1 shows statistical analysis of associations between virulence-associated factors.

Cluster structure analysis

Based on virulence gene profiles, four virulence clusters (I, II, III, IV) were identified using BioNumerics software according to a previous method (Fig. 1). Seven strains belonged to Cluster I, with an average of 2.43 virulence-associated genes per strain. Four stains belonged to Cluster II, with average of 2.7 virulence-associated genes. Cluster III contained 46 isolates, with an average of 4.92 virulence–associated genes. Cluster IV contained seven isolates with an average 12 virulence–associated genes. In general, the virulence of phylogenetic group B2 E. coli isolates is considered to be highest, followed by group D, which is in turn higher than that of phylogenetic groups A or B1 [12]. In this study, all phylogenetic group B2 isolates were found in Cluster IV. The dependency between Cluster IV and phylogenetic group B2 was significant (χ2 test, P < 0.05), but no significance was found between other clusters and phylogenetic groups. In addition, it was always observed the number of virulence-associated genes in an isolate was significantly correlated with its phylogenetic group, thus B2 isolates contained more virulence-associated genes than non-B2 isolates (χ2 test, P < 0.05). The prevalence of virulence-associated genes between clusters was also compared (Table 2), but no characteristic pattern was found for ExPEC. However, the presence of hlyD, ibeA, usp, cnf1, papA in Cluster IV is a difference from the other three clusters, indicating that those five genes are possible markers for the prediction of highly virulent ExPEC.
Fig. 1

Clustering of the 64 ExPEC isolates based on the presence or absence of virulence-associated factors. Each column shows the results for a single gene. Black: gene present; blank: gene absent

Table 2

Distribution of virulence factors classified according to clusters

Virulence

factors

NO. of ExPEC isolates(%)

Total (n = 64;%)

Cluster I (n = 7;10.9%)

Cluster II

(n = 4;6.25%)

Cluster III

(n = 46;71.9% )

Cluster IV

(n = 7;10.9%)

Siderophores

iutA

39(60.1)

0(0)a

4(100)b

28(60.1)b

7(100)b

iroN

17(26.6)

0(0)a

1(25)ab

10(21.7)a

6(85.7)b

fyuA

15(23.4)

0(0)a

0(0)a

8(17.4)a

7(100)b

ireA

7(10.9)

0(0)

0(0)

6(13)

1(14.3)

Adhesins

fimH

52(81.3)

5(71.4)ac

0(0)b

40(86.9)c

7(100)c

papC

14(21.9)

3(42.9)

1(25)

5(10.9)

5(71,4)

papA

3(4.7)

0(0)

0(0)

0(0)

3(42.9)

sfaA

1(1.6)

0(0)

0(0)

1(2.2)

0(0)

hraA

13(20.3)

2(28.6)

1(25)

5(10.9)

5(71.4)

afa

3(4.7)

0(0)

0(0)

3(6.5)

0(0)

Toxin

cnf1

5(7.8)

0(0)a

0(0)a

0(0)a

5(71.4)b

hlyD

5(7.8)

0(0)a

0(0)a

0(0)a

5(71.4)b

vat

42(65.6)

0(0)a

0(0)a

35(76.1)b

7(100)b

Miscellaneous

ompA

64(100)

7(100)

4(100)

46(100)

7(100)

ups

7(10.9)

0(0)a

0(0)a

0(0)a

7(100)b

traT

40(62.5)

0(0)a

0(0)a

37(80.4)b

3(42.9)b

Invasion

ibeA

2(3.1)

0(0)

0(0)

0(0)

2(28.6)

Capsule

kpsMIII

1(1.6)

0(0)

0(0)

1(2.2)

0(0)

kpsMII

10(15.7)

0(0)a

0(0)a

3(6.5)a

7(100)b

a,b,c P < 0.05

MLST analysis

Among 21 isolates belonging to phylogenetic groups D and B2, 13 different STs were identified, including 11 known STs (ST1011, ST354, ST788, ST405, ST117, ST12, ST95, ST961, ST141, ST648 and ST457) (Additional file 1). Two novel STs were identified in this study, namely, ST5170 and ST5171. Four STs included all seven B2 group isolates, namely ST12, ST961, ST141, and ST95. Other STs were found for group D isolates. To further analyze the phylogenetic relationships of these 21 ExPEC isolates, a phylogenetic tree were generated (Fig. 2). The phylogenetic analysis showed that the group B2 and group D isolates could each be grouped (Fig. 2). All isolates in the group B2 section of the tree were classified into Cluster IV in the virulence genotyping analysis; the isolates in the group D part of the tree were from Clusters I, II and III (Fig. 2).
Fig. 2

Phylogenetic organization of group B2 and D isolates of different multi locus sequence types based on the neighbor-joining method. Numbers at the nodes are bootstrap values and the bar represents 0.001 nucleotide changes. Group B2 strains gather together (red circle), as do group D strains (blue circle)

eBURST analysis of these 21 isolates identified nine clonal complex (CCs), namely, CC1011, CC457, CC117, CC141, CC405, CC354, CC648, CC12 and CC95 (Fig. 3). ST774 is a single locus variant (SLV) of ST648, which is the primary founder of CC648. ST961 was connected to ST12 as a member of CC12. Three STs were not classified into any CCs, i.e., they were singletons (ST5170, ST788, and ST5171). Strains from CC12 and CC95 have been indicated to have strong pathogenicity and zoonotic potential (Table 3).
Fig. 3

eBURST analysis of 13 STs of porcine extraintestinal Escherichia coli. The clonal structure of ExPEC is demonstrated by eBURST plots based on the profile of seven allelic housekeeping genes. Two STs differing in one locus but sharing the other six loci constitute a single locus variant (SLV); a double locus variant (DLV) means the STs contain two different loci. STs that did not include any SLVs with others are termed singletons. We observed nine main clonal complexes (CCs; CC12, CC648, CC354, CC141, CC405, CC457, CC1011, CC117 and CC95), and three singletons (ST788, ST5170 and ST5171). Strains from the same ancestor are grouped together in blue circles

Table 3

Sequence types and clonal complex of group D and B2 isolates

Sequence type (ST)

Strains

Clusters

Clonal complex

ST1011

PxECZ01C

Cluster I

CC1011

ST1011

PxECZF4d

Cluster II

CC1011

ST354

CZN3C

Cluster II

CC354

ST1011

PxECZB1C

Cluster III

CC1011

ST1011

PxECZF4C2

Cluster III

CC1011

ST457

SXE-8

Cluster III

CC457

ST648

ST648

SXE-1

Cluster III

CC648

SXE-13

Cluster III

CC648

ST5171

PxE11-1

Cluster III

None

ST788

DCE-7

Cluster III

None

ST457

SXE-16

Cluster III

CC457

ST405

SXE-20

Cluster III

CC405

ST117

PxECZPF1C

Cluster III

CC117

ST5170

SXE-14

Cluster III

None

ST961

ST961

DCE-9

Cluster IV

CC12

DCE-1

Cluster IV

CC12

ST12

DCE-6

Cluster IV

CC12

ST12

DCE-2

Cluster IV

CC12

ST12

DCE-5

Cluster IV

CC12

ST141

DCE-8

Cluster IV

CC141

ST95

JX131101

Cluster IV

CC95

Virulence evaluation of representative ExPEC isolates

Seven group B2 strains selected from Cluster IV showed high virulence in a mouse infection model (Table 4): the mortalities varied from 60% (3/5) to 100% (5/5) at a challenge dose of 4 × 107 CFU; the mortalities were more diverse at a challenge dose of 4 × 106 CFU, but of particular note, isolate JX131101 caused 100% mortality (5/5), indicating high virulence. The 14 group D strains showed obvious diversity in virulence: PxECZ01C and PxECZF4d did not cause any mortality at a dose of 4 × 107 CFU, while strains SXE-20 and SXE-14 presented high virulence; all of group D strains have no pathogenicity at a challenge dose of 4 × 106 CFU. No abnormality was found in mice in the control group injected with PBS.
Table 4

Experimental virulence of representative isolates in BALB/c mice

Clusters

Strains

Mortality

Phylogenetic

groups

Virulence

  

4 × 107

4 × 106

Cluster I

PxECZ01C

0/5

0/5

D

None virulence

Cluster II

PxECZF4d

0/5

0/5

D

None virulence

Cluster II

CZN3C

2/5

0/5

D

Less virulence

Cluster III

PxECZF4C2

1/5

0/5

D

Less virulence

Cluster III

SXE-8

3/5

0/5

D

Less virulence

Cluster III

PxECZB1C

2/5

0/5

D

Less virulence

Cluster III

SXE-1

2/5

0/5

D

Less virulence

Cluster III

PxE11-1

2/5

0/5

D

Less virulence

Cluster III

DCE-7

1/5

0/5

D

Less virulence

Cluster III

SXE-16

3/5

0/5

D

Less virulence

Cluster III

SXE-20

4/5

0/5

D

Less virulence

Cluster III

PxECZPF1C

3/5

0/5

D

Less virulence

Cluster III

SXE-13

1/5

0/5

D

Less virulence

Cluster III

SXE-14

5/5

1/5

D

Virulence

Cluster IV

DCE-9

3/5

0/5

B2

Less virulence

Cluster IV

DCE-6

4/5

1/5

B2

Virulence

Cluster IV

DCE-2

3/5

0/5

B2

Less virulence

Cluster IV

DCE-5

4/5

3/5

B2

Virulence

Cluster IV

DCE-1

4/5

2/5

B2

Virulence

Cluster IV

DCE-8

4/5

2/5

B2

Virulence

Cluster IV

JX131101

5/5

5/5

B2

Virulence

 

PBS

No mortality

  

All these strains were able to kill BALB/c mice in doses of 108 cfu, including PxECZ01C and PxECZF4d

Discussion

The importance of ExPEC has been recognized, and many ExPEC related diseases in cows, humans and food have been reported in the North America and Europe. In China, ExPEC has become a frequent pathogen in the swine industry [13, 14]. However, understanding of the pathogenesis and epidemiology of porcine ExPEC is still limited. Some reports showed that >50% of ExPEC isolates from swine belong to phylogenetic groups A and B1 [15], which is consistent with our results. In this study, only a few isolates were classified as phylogenetic group B2, which is an obvious contrast with the fact that most ExPECs isolated from humans or companion animals belong to groups B2 and D [3]. In this study, the isolates were considered as ExPEC based organ origin. Johnson et al [16] proposed a molecular approach to delimit ExPEC, by considering the presence of 2 of the 5 virulence markers (papA/papC, sfa/foc, afa/dra, iutA and kpsMTII) in an E. coli strain as ExPEC. According to this criterion, 13 of 69 strains in this study were identified as ExPEC, which contained all 7 B2 strains (Additional file 3: Table S3). Notably, the prevalence of ExPEC that qualified to criterion was larger within high virulence strains (9/12, 75%; mortality ≥ 3) than within low virulence strains (2/9, 22.2%; mortality ≤ 2) in the mouse infection model. This indicated that Johnson’s criterion is more strict and selective compared to the robust standard we used in this study, and is able to identify strains with a higher potential to cause diseases.

A single virulence factor does not determine bacterial pathogenicity. Thus, in this study, 19 major virulence-associated genes of ExPEC were selected for a comprehensive analysis with phylogenetic investigation, aiming to reveal genotypic traits related to virulence. These 19 virulence-associated genes contribute to the fitness of ExPEC and increase its adaptability and competitiveness in colonizing host animals. Four clusters were identified in the genotyping analysis. Cluster IV included only B2 group isolates and showed a higher prevalence of virulence-associated genes than the other three clusters. Animal infection experiments confirmed higher virulence of isolates from Cluster IV, which is consistent with B2 group strains leading to serious diseases [17]. The distinction between B2 and non-B2 ExPEC is clear, shown by MLST, virulence genotyping and virulence assessment. In addition, group D ExPEC isolates are considered to be more pathogenic than groups A and B1, although in this study some group D strains presented similar virulence to group A or B1 isolates. Furthermore, group D isolates were mixed with group A and B1 isolates in Clusters I, II and III in the genotyping analysis. In MLST analysis, no obvious correlations were observed with genotypic cluster virulence in group D strains. Group D isolates thus present high diversity in genotype and phenotype.

MLST analysis can provide other information besides phylogenetic relationships [18]. After comparing our results with the MLST database (http://pubmlst.org/), we found STs in this study that have been reported to be present in diseases of birds, dogs and humans. For example, strain JX131101 belonged to ST95 in CC95; ST95 is the most important pathogenic sequence type in human-associated cases [19]. ST95 isolates are frequently reported to be related to newborn meningitis (NM) and uropathogenic infection (UTI) in Europe and the North America [20, 21]. Group D isolate CZN3C is assigned to ST354, which is a common ST type in isolates causing UTI and NM in humans, companion animals and swine [22, 23]. Some ST1011 isolates lead to UTI in avians and companion animals [24], but several group D ST1011 isolates showed low virulence in this study. Our data suggest that isolates from the same ST can have different pathogenic phenotypes, and indicate the diversity and complexity of pathogenic E. coli.

A study by Tan et al. showed that fimH, traT and iutA were highly prevalent in porcine ExPEC isolates, which is in consistent with our results, but the prevalence of fyuA, cnf1, kpsMTII, and iroN differ between our study and theirs; the focG gene was not detected in any isolates in this study, which is similar to Tan’s research [25]. Interestingly, the results of VR gene detection in ExPEC isolates from retail pork is quite different from that from pigs on farms [26]. This suggests that E. coli strains isolated from pork may originate from processes such as meat production or transportation.

We found five VR genes to be highly prevalent specifically in Cluster IV (which contained only group B2 isolates), namely papA, hlyD, usp, ibeA and cnf1, suggesting that these five genes may be closely related to strong pathogenicity. This result contains a risk factor that similar geographical of B2 isolated in this study might lead to a prevalence bias of virulence factors. Both hlyD and cnf1 are well-known toxin genes in ExPEC. ibeA is associated with neonatal meningitis [27] and is an important virulence-associated factor widely distributed among APEC and NMEC [28]. usp, the uropathogenic-specific gene, was reported in a large number of strains from patients and animals with pyelonephritis or prostatitis [29]. Both our results and a previous study of virulence genotypes of canine ExPEC [11] indicate that cnf1, hlyD, ups and kpsMII could be possible marker genes for high virulence in ExPEC, although this point still needs to be verified in further study or using a larger collection of ExPEC isolates.

Conclusions

In this study, a total of 19 VR genes in 64 Chinese porcine ExPEC strains were detected by PCR. Based on VR gene profiles, those isolates were divided into four clusters (named I to IV). Notably, all Cluster IV isolates were from group B2, and VR genes were remarkably more prevalent in group B2 than in groups A, B1 and D. The distinction between group B2 and non-B2 isolates in virulence and genotype accorded with MLST analysis. Considering Cluster IV isolates had the strongest pathogenicity in a mouse infection model, genes that were only found in group B2 strains (that cnf1, hlyD, ups and kpsMII) could be possible marker genes for high virulence in ExPEC. This study revealed the genetic differences between porcine ExPEC strains from China and enlarges the knowledge of the porcine ExPEC virulence.

Methods

Bacterial isolation and culture conditions

From April 2013 to August 2014, a total of 64 ExPEC strains were isolated from clinically diseased pigs in five provinces (Jiangsu, Zhejiang, Shandong, Hebei, Shanxi and Jiangxi) of China (Additional file 4: Table S2). All the isolates were recovered from extraintestinal organs, including spleen, lung, liver, kidney and brain, and MacConkey agar was used for initial purification. Isolates were grown in Luria-Bertani broth for 6 h and then stored in 50% glycerol at −70 °C until further characterization.

Hemolytic activity tests

The hemolytic activities of clinical ExPEC isolates were determined by culture on 7% sheep blood agar. The formation of beta-hemolysin was observed.

PCR detection of virulence-related genes and phylogenetic group identification

The genomic DNA of bacteria was extracted using an E.Z.N.A. bacterial DNA kit (Omega, Beijing, China) following the manufacturer’s instructions. Individual PCR assays were performed for 19 ExPEC VR genes, including kpsMII, kpsMIII, iroN, fyuA, ireA, iutA, papC, hra, sfaS, papA, fimH, afa, hlyD, vat, cnf1, ompA, traT, usp and ibeA. The phylogenetic group was determined by multiplex PCR with three pairs of primers, chuA, yjaA and TspE4.C2 [30]. All PCR primers used in this study are listed in Table 5.
Table 5

Virulence genes primers for PCR in this study

PCR assay

Gene

Primer sequence

PCR product size/bp

Virulence-

associated

genes

papA

ATGGCAGTGGTGTCTTTTGGTG

717

 

CGTCCCACCATACGTGCTCTTC

 

papC

GTGGCAGTATGAGTAATGACCGTTA

203

 

ATATCCTTTCTGCAGGGATGCAATA

 

iutA

ATCGGCTGGACATCATGGGAAC

314

 

CGCATTTACCGTCGGGAACGG

 

vat

CTTACCTCTCTGGCACTATCTG

1021

 

GTCAGTGAACCGGCACC

 

fimH

TGCAGAACGGATAAGCCGTGG

508

 

GCAGTCACCTGCCCTCCGGTA

 

fyuA

TGATTAACCCCGCGACGGGAA

787

 

CGCAGTAGGCACGATGTTGTA

 

ireA

GATGACTCAGCCACGGGTAA

254

 

CCAGGACTCACCTCACGAAT

 

kpsMTII

GCGCATTTGCTGATACTGTTG

272

 

CATCCAGACGATAAGCATGAGCA

 

hlyD

CTCCGGTACGTGAAAAGGAC

904

 

GCCCTGATTACTGAAGCCTG

 

sfaS

GTCTCTCACCGGATGCCAGAATAT

240

 

GCATTACTTCCATCCCTGTCCTG

 

hra

GTAACTCACACTGCTGTCACCT

139

 

CGAATCGTTGTCACGTTCAG

 

cnf1

CTTTACAATATTGACATGCTG

446

 

TCGTTATAAAATCAAACAGTG

 

afa

TAAGGAAGTGAAGGAGCGTG

210

 

CCGCCCTGAAGAAGTATCAC

 

kpsMTIII

TCCTCTTGCTACTATTCCCCCT

392

 

AGGCGTATCCATCCCTCCTAAC

 

ibeA

AATGAGTGCCGCTCGTGAAGG

548

 

CCCCCCAGTCTCCATATTTAG

 

iroN

CTCCGACGATGATAATGACGA

440

 

TGGGACGTTTGGTAATGATGT

 

ompA

GATCAGTGCAGCACGCTGTTT

385

 

GGGCGAAGCAGCTCCAGTAG

 

traT

CGATGAGCACAGCAATCAAGA

486

 

CATTATCCGTTGTCACCGTTG

 

usp

GAGCGGTTATTTATTGAAATC

448

 

CACAGCAGTCATCAACCACTG

 

Cluster analysis of virulence genotype

The presence or absence of putative virulence-associated genes among isolates was visualized using BioNumerics (version 6.6, Applied Maths, Kortrijk, Belgium) to study similarity among isolates, according to the method applied in a previous report [11]. These data were analyzed using a simple matching coefficient. Cluster analysis was performed by the unweighted pair group method using arithmetic averages (UPGMA).

Multilocus sequence typing

MLST is a useful method to track genetic variation of microbes and survey epidemics. It provides an accurate and highly discriminatory genotyping system for bacteria. In this study, group D and group B2 ExPEC isolates were used to perform MLST tests. The DNA fragments of seven housekeeping genes (purA, fumC, icd, mdh, recA, gyrB and adk) were amplified by PCR and the products were sequenced. Allele sequence determination was performed using the E. coli MLST database (http://mlst.ucc.ie/mlst/dbs/E. coli). Any new alleles (i.e. those not recognized by the E. coli MLST system) were submitted to the database curator to be assigned new allele numbers. Sequence types (STs) were identified based on the allele profiles.

Phylogenetic analyses were conducted on the basis of the concatenation of seven MLST loci (purA, fumC, icd, mdh, recA, gyrB and adk) using the MEGA v4.1 software as previously described [31]. The result is presented as a neighbour-joining tree; the robustness of the groupings was assessed by bootstrap resampling of 1,000 replicates. eBURST (http://eburst.mlst.net) analysis was also performed to identify potential clonal complexes (CCs) and founders [18], and the overall population structures were determined.

Statistical analysis

The prevalence of VR genes in ExPEC isolates in different clusters was compared using Fisher’s exact test (Statistica 5.0, StatSoft Inc., Tulsa, OK, USA). A chi-square test (χ2 test) was used to calculate the correlation between clusters, phylogenetic groups and the quantity of virulence-associated genes. Results were considered significant if P < 0.05.

Animal infection experiments

E. coli strains belonging to groups D and B2 have a higher risk of causing severe disease. Using the results of genotype clustering, 21 group D and B2 ExPEC strains were tested in a mouse infection model. All isolates tested were grown in LB medium with shaking at 37 °C for about 4–5 h to reach a concentration of 109 CFU/ml.

A total of 215 female BALB/c mice (5-weeks-old) were purchased from the Comparative Medicine Center of Yangzhou University. Mice were housed in the Animal Experimental Center of Nanjing Agricultural University, by a full-time staff. Temperature and humidity are controlled, food and water are accessible. The mice were divided into 43 groups, five mice per group. Mice in groups 1 to 42 were inoculated with the 21 selected strains by intraperitoneal injection (0.2 mL) at doses of 4 × 106 or 4 × 107 CFU per mouse. Group 43 was the uninoculated control and received phosphate buffered saline (PBS). The mice were monitored for survival twice a day for 1 week.

Abbreviations

ExPEC: 

Extraintestinal pathogenic Escherichia coli

MLST: 

Multilocus sequence typing

VR: 

Virulence-related

Declarations

Acknowledgements

We would like to thank Dr. Xian Qi and Dr. Chen Dong (Jiangsu Provincial Center for Disease Control and Prevention) for their help in using BioNumerics software.

Funding

This work was supported by grants from the National Nature Science Foundation of China (No. 31372455) and the project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Availability of data and materials

All data are fully available without restriction and is contained within the manuscript and supplemental materials.

Authors’ contributions

HY conceived and designed the experiments. YZ, WD, LY, JM and MA performed the experiments. GL contributed materials and analysis tools. YZ, JM, and ZP analyzed the data. YZ and WD drafted the manuscript. ZP and HY revised the manuscript. HY coordinated the study. All authors have read and approved the final manuscript version.

Competing interests

The authors declare that they have no competing interests.

Ethics approval

All animal experiments in this study were approved by the by the Animal Care and Use Committee of Nanjing Agricultural University, license number SYXK (SU) 2011-0036. All efforts were made to minimize suffering.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
College of Veterinary Medicine, Nanjing Agricultural University
(2)
Key Lab of Animal Bacteriology, Ministry of Agriculture, Nanjing Agricultural University

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Copyright

© The Author(s). 2017

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