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  • Research article
  • Open Access

Evaluation of MIRU-VNTR for typing of Mycobacterium bovis isolated from Sika deer in Northeast China

BMC Veterinary Research201511:93

https://doi.org/10.1186/s12917-015-0402-0

  • Received: 24 September 2014
  • Accepted: 20 March 2015
  • Published:

Abstract

Background

Bovine tuberculosis has led to serious economic losses for Sika Deer producers in China. Strategies for controlling the spread of Mycobacterium bovis are often hampered by a lack of epidemiological data. Specifically, tracing infections requires the ability to trace back infections, which, in turn, requires the ability to determine isolates with a common source. This study was planned to assess the discriminatory power of each mycobacterial interspersed repetitive unit (MIRU)-variable number tandem repeats (VNTR) locus and evaluate the most appropriate combination of MIRU-VNTR loci for molecular epidemiological studies on Sika Deer in China.

Results

The discriminatory power of MIRU-VNTR typing based on 22 known loci (12 MIRUs, 2 ETRs, 4 QUBs, and 4 Mtubs) were assessed in 96 Mycobacterium bovis strains collected sequentially from Sika Deer at a slaughterhouse in northeastern China. We defined four loci (MIRU4, ETRA, QUB11b, and Mtub4) as highly discriminative, eight loci (MIRU2, MIRU23, MIRU27, MIRU31, MIRU39, MIRU40, QUB26, and Mtub21) as moderately discriminative, and three loci (MIRU16, Mtub30, and Mtub34) as poorly discriminative. The final locus showed no polymorphism between strains. MIRU-VNTR typing as a whole was highly discriminative, with an overall allelic diversity of 0.897. Of the loci tested, the four highly discriminative loci and eight moderately discriminative loci proved to be most appropriate for first line typing of M. bovis from Sika Deer, with the same resolving ability as all 22 loci (H = 0.897).

Conclusions

MIRU-VNTR typing is quick and effective for typing bovine tuberculosis isolates from Sika Deer in China.

Keywords

  • Mycobacterium bovis
  • MIRU-VNTR typing
  • Sika deer

Background

Sika Deer tuberculosis is caused by the Mycobacterium tuberculosis complex (MTBC); most commonly, M. bovis. This disease has led to significant economic losses for deer producers in China. However, previous efforts in controlling MTBC have been hampered by a lack of data, as genotyping MTBC members is an important tool in epidemiological analysis for studying the spread of MTBC [1]. In 2001, VNTR genotyping method using MIRU units was developed [2] and used to study the molecular epidemiology of Mycobacterium tuberculosis [3]. MIRU-VNTR has high efficiency and reproducibility, because MIRU-VNTR typing results are easier to compare between different laboratories than restriction fragment length polymorphisms (RFLP), which were the previous “gold standard” for MTBC typing [4]. Another advantage of MIRU-VNTR is that it does not require large quantities of template DNA for typing [5].

In addition to M. tuberculosis, this technique has also been proven in M. bovis in different countries and epidemiologic scenarios [1,6-11]. Earlier studies frequently used the loci designated as mycobacterial interspersed repeat units (MIRU) [2,12] and exact tandem repeats (ETR) [13]. To obtain better resolution, other VTNR loci were investigated [14]. Recently, novel M. tuberculosis MIRU-VNTR loci groups, such as the Queen’s University Belfast (QUB) and Mtub groups [15], have been identified. Various combinations of MIRU-VNTR loci have been reported to give better differentiation of M. tuberculosis strains [16-19]. However, no specific set of loci have been agreed upon as a standard, and the allelic diversity of loci can vary from country to country and between M. tuberculosis complex species, requiring localized selection of suitable loci.

This study was therefore developed to determine the MIRU-VNTR loci most appropriate to use for typing MTBC organisms isolated from Sika deer in China.

Results

Analysis of individual MIRU-VNTR locus

MIRU-VNTR typing results of M.bovis Isolated in this study was described in Additional file 1. The copy numbers and allelic diversity (h) in MIRU-VNTR loci were recorded (Table 1). The diversity analysis showed that the discriminatory power of individual loci differed greatly, with h ranging from 0.000 to 0.739. The ETRA, MIRU4, QUB11b, and Mtub4 loci had high discriminatory power (h > 0.6). The MIRU2, MIRU23, MIRU27, MIRU31, MIRU39, MIRU40, QUB26, and Mtub21 loci were moderately discriminatory (0.3 ≤ h ≤ 0.6). MIRU16, Mtub30, and Mtub34 were poorly discriminatory (h < 0.3). Seven loci displayed no allelic diversity.
Table 1

Allelic diversity of individual MIRU-VNTR locus

loci

No. of copies

Allelic diversity

1

2

3

4

5

6

7

8

9

10

ETRA

23

    

50

23

   

0.608

MIRU2

  

19

 

77

     

0.310

MIRU4

16

 

32

48

      

0.607

MIRU23

   

35

61

     

0.458

MIRU31

      

64

32

  

0.439

MIRU39

     

32

   

64

0.439

MIRU40

 

47

  

49

     

0.495

QUB11b

30

  

22

 

26

18

   

0.739

QUB26

   

37

47

12

    

0.592

Mtub4

  

40

 

7

 

43

6

  

0.613

Mtub21

53

  

23

20

     

0.590

Mtub30

 

15

  

81

     

0.256

Mtub34

 

6

    

90

   

0.108

MIRU16

  

81

5

10

     

0.267

MIRU27

 

14

55

27

      

0.567

ETRC

      

96

   

0.000

MIRU10

       

96

  

0.000

MIRU20

96

         

0.000

MIRU24

   

96

      

0.000

MIRU26

    

96

     

0.000

QUB1895

    

96

     

0.000

QUB3336

  

96

       

0.000

Evaluation of MIRU-VNTR loci combinations

Based on all 15 MIRU-VNTR loci with non-zero allelic diversity, 12 different types (H = 0.897) were identified; of these, 1 was unique and 11 were clustered. Clusters contained 1 (n = 1) to 17 (n = 1) identical strains (Table 2), and the 96 clinical isolates were classified into two groups (Figure 1). Group 1, which included 7 genotypes, was more complex. This group included isolates from four different regions—ShuangYang, LiaoYuan, TongHua, SongYuan and SiPing—strongly suggesting interregional transmission.
Table 2

Molecular differentiation of isolates by MIRU-VNTR

MIRU-VNTR type

MIRU-VNTR allelic profile

Isolates ID

Number of Isolates(N)

ETRA

MIRU4

QUB11b

Mtub4

MIRU2

MIRU23

MIRU31

MIRU39

MIRU40

QUB26

Mtub21

MIRU27

Mtub30

Mtub34

MIRU16

M-V01

1

1

1

7

3

5

7

10

2

5

1

2

2

7

5

ShuangYang1-5

5

M-V02

7

3

1

7

5

5

7

10

2

5

1

2

5

7

3

ShuangYang6-14

9

M-V03

1

3

4

5

5

4

8

10

5

6

1

3

5

7

3

ShuangYang15-21

7

M-V04

6

4

6

7

5

5

7

10

5

4

5

4

5

7

3

ShuangYang22-27; LiaoYuan1-6; TongHua1-5

17

M-V05

1

1

7

7

5

5

7

6

2

5

4

3

5

7

3

TongHua6-13

8

M-V06

6

3

4

3

5

4

8

6

2

4

4

3

5

7

3

TongHua14-28

15

M-V07

6

4

6

3

5

5

7

6

2

5

1

3

5

7

3

TongHua29-32; SiPing1-5

9

M-V08

7

4

1

3

3

4

7

10

5

5

1

3

5

7

3

SiPing6-9; ShuangYang28-36

13

M-V09

1

1

1

3

5

5

7

10

5

5

5

3

5

7

3

ShuangYang37-39

3

M-V10

6

4

7

8

5

5

8

10

5

4

1

4

2

2

4

ShuangYang40-42; SongYuan1, SongYuan2

5

M-V11

6

4

7

7

5

5

8

10

5

6

1

4

2

7

5

SongYuan3-5; ShuangYang43

4

M-V12

7

3

7

8

3

5

8

10

2

6

1

4

2

2

5

SiPing10

1

Figure 1
Figure 1

Sample figure title. Group1 are presented with varying MIRU-VNTR types: M-V03, M-V04, M-V05, M-V06, M-V07, M-V08, M-V09.

The discrimination ability was compared with different combinations of loci (Table 3). The four highly discriminatory loci and the eight moderately discriminatory loci, also identified 12 genotypes (H = 0.897). The MIRU loci with moderate discriminatory power (MIRU2, MIRU23, MIRU27, MIRU31, MIRU39, and MIRU40) resolved the 96 isolates into 10 types (H = 0.877). If the MIRU4 and MIRU16 loci were also used, 11 types (H = 0.893) were resolved. With the Mtub4, Mtub21, Mtub30, and Mtub34 loci, 8 types (H = 0.836) were resolved. Based on these results, we consider ETRA, MIRU4, QUB11b, and Mtub4 to be robust enough for initial molecular epidemiological studies when rapid results are of paramount importance.
Table 3

Evaluation of the discriminatory capacity of the combinations of MIRU-VNTR locus

Locus combination

No. of clusters

No. of isolates in individual clusters

Hunter–Gaston discriminatory index (HGDI)

ETRA, MIRU2, MIRU4, MIRU23, MIRU31, MIRU39, MIRU40, QUB11b, QUB26, Mtub4, Mtub21, Mtub30, Mtub34, MIRU16, MIRU27

12

1-17

0.897

ETRA, MIRU4, QUB11b, Mtub4

12

1-17

0.897

MIRU2, MIRU23, MIRU27, MIRU31, MIRU39, MIRU40, QUB26, Mtub21

12

1-17

0.897

MIRU2, MIRU4, MIRU16, MIRU23, MIRU27, MIRU31, MIRU39, MIRU40

11

1-17

0.893

MIRU2, MIRU23, MIRU27, MIRU31, MIRU39, MIRU40

10

1-17

0.877

ETRA, MIRU4, QUB11b, Mtub4

8

6-24

0.836

Discussion

M. bovis is the primary pathogen for tuberculosis in Sika Deer. Because it also infects humans, molecular epidemiologic studies on M. bovis are of major importance in tuberculosis prevention. Genotyping of MTBC isolates is a useful tool, not only for regional investigations, such as tracebacks, but to allow comparisons of tuberculosis isolates worldwide [20]. Different typing methods published for M. bovis include IS6110, RFLP, VNTR, and spoligotyping [21]. While IS6110 has been the most common, the discriminatory power of IS6110 is generally low for M. bovis typing [22,23]. Because the resolution provided by MIRU-VNTR is adequate for most situations and this method is relatively cheap and rapid, it is quickly becoming the standard as the initial step in M. bovis epidemiology [14].

The individual discriminatory power of 22 MIRU-VNTR loci were analyzed. The QUB11b locus produced the highest individual discriminatory index (h = 0.739), followed by Mtub4, ETRA, and MIRU4. This correlates well with previous studies [14,15].

Mtub loci exhibit good application potential; however, the discriminatory power of Mtub4, Mtub21, Mtub30, and Mtub34 differed greatly, with h ranging from 0.108 to 0.613. These loci exhibited a high enough discrimination ability to be useful in early research [24,25], and may prove useful in future M. bovis typing studies. The ETRC, MIRU10, MIRU20, MIRU24, MIRU26, QUB1895, and QUB3336 loci showed no allelic diversity in this test. MIRU10, MIRU20, MIRU26 and QUB3336 had similar results in studies on M. bovis isolated from Xinjiang region [16]. The published data on M. tuberculosis from Ghana [24] and other locations [6,13,14] showed higher allelic diversities than our study, which suggests that not all MIRU-VNTR loci are informative for M. bovis strains form Sika Deer in China.

The allelic diversity of MIRU-VNTR loci are higher in our study than previous studies in China [26,27], Published data on M. tuberculosis from France [28], South Africa [29], and the United States [30] found that the discriminatory power of MIRU-VNTR loci in Sika Deer is higher than in humans. Although these MIRU-VNTR loci showed enough discrimination ability for genotyping current M. bovis isolates, additional studies with new MIRU-VNTRs are needed to ensure accurate genotyping and epidemiological resolution for field studies.

The discriminatory power of MIRU-VNTR loci may vary between countries, geographical regions, and epidemiological scenarios. Analysis of 15 VNTR loci showed the expected results: when compared with previous studies the test had a relatively high Hunter–Gaston discriminatory index (HGDI) and low clustering rates [31-33]. The subset of 15 loci provides increased resolution compared to the original 12 MIRU loci.

The discriminatory power of MIRU-VNTR loci also varies with high allelic diversity. The ETRA, MIRU4, QUB11b, and Mtub4 loci provide the greatest resolution (H = 0.897) for individual loci, while the MIRUs alone (MIRU2, 23, 31, 39, 40, 27, 16, and 4) provided less resolution (H = 0.893). The moderately discriminatory MIRUs (MIRU2, MIRU23, MIRU31, MIRU39, MIRU40, MIRU27) had less resolution alone (H = 0.877) than when combined with the other moderately loci (QUB26 and Mtub21), which had the greatest amount (H = 0.897). Therefore, the discriminatory power of VNTR loci appears greatly improved by applying novel combinations of VNTR loci.

The 15 VNTR loci methodology is a highly discriminatory method for first line typing of M. bovis isolated from Sika deer and should be considered as a replacement for the original 12 MIRU loci method. However, for in-depth studies, we recommend using ETRA, MIRU4, QUB11b, and Mtub4 loci as a first set to obtain initial molecular epidemiology data quickly before proceeding on to the full set of loci.

Conclusions

The results of this study will be used in a molecular epidemiology study to identify risk factors for recent transmission of Sika Deer tuberculosis in China. VNTR studies will also help in tracing infection sources during Sika deer tuberculosis outbreaks and help control transmission between Sika Deer and humans. Finally, this will improve Chinese Sika Deer cultivation by reducing losses due to MTBC infections.

Methods

Bacterial strains

A total of 96 M. bovis strains were used in this study. These strains were isolated from samples collected at the slaughterhouse for Sika Deer in China covering five different regions: Shuang Yang, Liao Yuan, Tong Hua, Si Ping, and Song Yuan between 2008 and 2012. All 96 strains were characterized by real-time PCR [34].

Ethical considerations

This research was performed according to the international, national and institutional rules regarding animal experimentation. The research was approved by the Institutional Animal Care and Use Committee of Jilin Agricultural University (reference number:2008627).

Preparetion of chromosomal DNA

DNA was extracted with the method followed. Cells were suspended in 400 μL TE buffer (10 mM Tris-CI and 1 mM EDTA at pH 8.0) and inactivated at 80°C for 30 min followed by centrifugation at 5000 × g. The supernatant was discarded and the pellet resuspended in 400 μL TE buffer and 45 μL 10% SDS. This was heated in a 37°C water bath for 2 h after incubation with 3 μL of 20 μg/mL proteinase K. The suspension was re-centrifuged and the supernatant extracted using an equal volume of phenol/chloroform/isoamyl alcohol (25:24:1 [v/v]). The resulting supernatant was diluted with a double volume of anhydrous ethanol for 10 min and precipitated at −20°C after centrifugation at 12000 × g for 20 min. The precipitate was washed with 70% ethanol twice, and the ethanol evaporated at room temperature for 20 min. The final pellet was dissolved in 30 μL sterile deionized water and stored at −20°C until use.

PCR amplification

The primers and designations used in this study for each MIRU-VNTR locus are described by Supply et al. [14]. The primer sequences and PCR product sequencing in this study was described in Additional file 2. PCR reactions were performed using the method described in Table 4. The reaction mixture for all loci contained 2 μL M. bovis DNA, 0.4 μΜ of each primer pair, 25 μL EmeraldAmp MAX PCR Master Mix (Takara Biomedical Technology, Beijing, China) and 22.6 μL ddH2O.
Table 4

PCR conditions for MIRU-VNTR locus

Set and multiplex

PCR conditions

ALL MIRUs

Start at a denaturing step of 15 min at 95°C, after denaturation, the PCR was performed for 40 cycles of 1 min at 94°C, 1 min at 59°C and 1.5 min at 72°C. Terminated by an incubation of 10 min at 72°C.

ETRA, C and QUB26

Start at a denaturing step of 12 min at 95°C, after denaturation, the PCR was performed for 40 cycles of 0.5 min at 94°C, 1 min at 60°C and 2 min at 72°C. Terminated by an incubation of 7 min at 72°C.

QUB3336, 1895, 2163

Start at a denaturing step of 15 min at 95°C, after denaturation, the PCR was performed for 40 cycles of 0.5 min at 94°C, 1 min at 55°C and 2 min at 72°C. Terminated by an incubation of 7 min at 72°C.

Mtub4, 21, 30, 34

Start at a denaturing step of 15 min at 95°C, after denaturation, the PCR was performed for 40 cycles of 1 min at 94°C, 1 min at 50°C and 0.5 min at 72°C. Terminated by an incubation of 7 min at 72°C.

Allelic diversity and VNTR typing

The individual allelic diversity (h) of each VNTR locus was calculated using the following equation: h = 1-∑xi 2[n/(n − 1)], where n is the number of isolates and xi the frequency of the ith allele at the locus [35]. We considered h > 0.6 as highly discriminative, 0.3 ≤ h ≤ 0.6 as moderately discriminative, and h < 0.3 as poorly discriminative [36]. The HGDI was calculated as previously described [37]. The HGDI varies between 0.00 and 1.00 and represents the discriminatory power for VNTR loci in combination. Clustering analyses were performed using the online tool at http://www.MIRU-VNTRplus.org.

Availability of supporting data

Dataset doi:10.6070/H4HX19PG

https://mynotebook.labarchives.com/share/wchunyu1981/MjIuMXw4NDk3MC8xNy01MC9UcmVlTm9kZS8zNjIxMDY0ODMwfDU2LjE=.

Abbreviations

MIRU-VNTR: 

Mycobacterial Interspersed Repetitive Units - variable number of tandem repeat

PCR: 

Polymerase chain reaction

HGDI: 

Hunter–Gaston discriminatory index

Declarations

Acknowledgements

The authors would like thank Jinhua Liu, Zhanyun Song and Liang Zhou (Technology Center of Jilin Entry-Exit Inspection and Quadrant Bureau) for their valuable technical support. We would also like to thank the employees of the slaughter facility for their support and providing valuable insight about M. bovis infections in deer. This work was supported by Natural Science for Youth Foundation of China (No.31200241); International Science and Technology Cooperation Project of China (2011DFA32900); The Development Plan Project of Science and Technology of Jilin Province (20100718).

Authors’ Affiliations

(1)
College of Chinese Medicinal Materials, Jilin Agricultural University, Xincheng Street No.2888, 130118 Changchun, China
(2)
Jilin Entry-Exit Inspection and Quadrant Bureau, Puyang Street No.1301, Changchun, 130062, China
(3)
Jilin Sino-ROK Academy of Animal Sciences, Donghua Street No.1699, Changchun, 130600, China

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© Yang et al.; licensee BioMed Central. 2015

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