Diversity of<i> Mycobacterium tuberculosis</i> Complex from Cattle Lymph Nodes in Eastern Cape Province

Bhembe, Nolwazi Londiwe; Tanih, Godfred Ngu; Caine, Lesley-Anne; Pekana, Abongile; Govender, Patrick; Nwodo, Uchechukwu Uchechukwu; Okoh, Anthony Ifeayin; Mabinya, Leonard Vuyani; Green, Ezekiel

doi:https://doi.org/10.1155/2018/3683801

BioMed Research International

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Research Article | Open Access

Volume 2018 | Article ID 3683801 | https://doi.org/10.1155/2018/3683801

Diversity of Mycobacterium tuberculosis Complex from Cattle Lymph Nodes in Eastern Cape Province

Nolwazi Londiwe Bhembe,^1,2Godfred Ngu Tanih,³Lesley-Anne Caine,^1,2Abongile Pekana,^1,2Patrick Govender,⁴Uchechukwu Uchechukwu Nwodo,^1,2Anthony Ifeayin Okoh,^1,2Leonard Vuyani Mabinya,^1,2and Ezekiel Green³

Academic Editor: Isabel Portugal

Received31 Oct 2017

Accepted10 Feb 2018

Published10 Apr 2018

Abstract

Tuberculosis (TB) remains a major health challenge in South Africa and the condition in humans has been well researched and documented. However, investigations on the circulating Mycobacterium tuberculosis complex (MTBC) strains from cattle in the Eastern Cape Province of South Africa are insufficient. This study delineated the diversity of MTBC isolates from cows’ lymph nodes. A total of 162 MTBC isolates, collected over a one-year period from cattle lymph nodes from two abattoirs, were submitted to spoligotyping and 12 MIRU-VNTR typing. The spoligotyping results were matched with isolates in the universal spoligotyping database (SITVIT2). Our study identified 27 spoligotype patterns, with 10 shared types assigned to five lineages: the East-Asian (Beijing) was predominant, 17.9%, and East-Asian (Microti) and Latin-American-Mediterranean S were the least detected with 0.6%. Spoligotyping showed a higher clustering rate of 82.1%, with the lowest being the Hunter-Gaston Diversity Index (HGDI) of 0.485; 12 MIRU-VNTR resulted in a clustering rate of 64.8%, showing a higher HGDI of 0.671. The results of this study show a high diversity of MTBC strains in the Eastern Cape Province and clustering rate, which indicates ongoing transmission in the province.

1. Introduction

South Africa ranks the third highest globally with the number of predictable leading (undiagnosed dynamic TB) cases [1]. In 2013, the country reported TB as the predominant cause of death (over 40,542 deaths in that year) [2]. In 2014, 834 cases/100,000 of the population were reported [3]. In 2015, 454,000 instances of active TB were reported from a population of 54 million [4]. Eastern Cape (EC) Province has the worst TB situation, despite the TB control programmes used in the province [5]. In 2015, 692 cases/100,000 inhabitants were reported in this province [4]. The high TB prevalence is ascribed currently to HIV coinfection, poverty, and TB drug resistance [5]. However, dairy farming is a common practice in this province, with farms supplying large amounts of unpasteurized milk to urban and rural areas, consumed by individuals to supplement their diets. We argue that this consumption of unpasteurized milk poses a serious public health problem due to the potential of transmitting MTBC (especially M. bovis) to humans [6].

Bovine tuberculosis (bTB) is a well-known zoonotic infection with an extensive array of hosts, including humans [7]. The prevalence of bTB is unknown in South Africa, although it is suspected to be the cause of commercial farming losses. BTB can infect individuals and animals in developing and nonindustrialized countries; in fact, M. bovis is liable for about 5–10% of all TB occurrences and 30% of epidemics in juvenile human TB patients [8]. Appropriate analysis of bTB is vital for the proper control and prevention of MTBC strain transmission to both humans and animals [9]. It is essential to know the quantity and type of strains disseminated in the field, and therefore genotyping is necessary in the molecular epidemiology of MTBC for appropriate monitoring of prevalent strains and strain families that are overrepresented [10].

The understanding of TB transmission patterns and the hereditary diversity of MTBC strains has been greatly improved by the introduction of molecular epidemiology [11, 12]. The genotyping methods used include IS6110 restriction fragment length polymorphism (IS6110-RFLP), spacer oligonucleotide typing (spoligotyping), and variable-number tandem repeats of mycobacterial interspersed repetitive units (MIRU-VNTR). These have been proven to be effective tools for bTB epidemiological investigations and infection control [13]. IS6110-RFLP was once a gold-standard method but it requires large quantities of DNA and cannot differentiate organisms with 5 IS6110 copies. The spoligotyping and MIRU-VNTR genotyping methods were established [14]. Comparing the three methods, MIRU-VNTR and spoligotyping have the advantage of being more rapid and appropriate for all MTBC isolates, as well as strains with a few IS6110 copies [15, 16].

Initially, the VNTR typing systems for MTBC used a limited set of loci [15, 17, 18], which were not adequately discriminatory [19]. Broad sets of VNTR loci have been reported to be better suited for dependable genotyping and molecular investigations of MTBC [14, 16]; this system is based on 12 loci. The application of 12 locus-based MIRU-VNTR and spoligotyping techniques has been reported to provide high satisfactory discrimination for large-scale and local outbreak investigations [20, 21]. Spoligotyping has resulted in the construction of a well-used international database that assigns an identity to a given strain and documents the global phylogeography of MTBC strains [22]. The occurrence and transmission of MTBC strains vary in countries and regions within the same country [23], and proper identification of MTBC strain families in specified geographical vicinities is significant for epidemiological investigations.

In South Africa, studies on mostly genotyping assays have been carried out in a few provinces, with high reported multidrug-resistant TB strains (MDRs); these are in Western Cape [24–27], Gauteng [28–31], and KwaZulu-Natal [32, 33]. This study was designed to determine the MTBC strains’ dissemination from cattle lymph nodes in Eastern Cape Province of South Africa using the MIRU-VNTR (original 12 loci) and spoligotyping.

2. Method

2.1. Sample Collection, Handling, and Molecular Identification

376 lymph nodes showing lesions were collected from a total of 14,950 slaughtered animals in two abattoirs found in Eastern Cape Province (Chris Hani and Buffalo City municipalities) for a year as earlier reported in our larger study by Bhembe et al. [34]. Samples were decontaminated before culture following the protocol reported by Bhembe et al. [34]. Each sample was cultured on three different Löwenstein-Jensen (LJ) slants. The first two slants (supplemented with either glycerol or pyruvate) were cultured in preparation for spoligotyping and MIRU-VNTR typing. All three LJ slants (BD Biosciences, Sparks, MD, USA) were inoculated with 300 μl of the decontaminated sample.

Slants were incubated (placed sidelong) overnight at 37°C before being turned upright. The slants were ventilated every 3 days for three weeks and then every week for 6 to 8 weeks depending on the growth perceived. The slants were then kept at 4°C to preserve the organisms.

The growth of MTBC was identified by the formation of gritty white/cream colonies on the slants. Deoxyribonucleic acid (DNA) was extracted from the slants with colony growth, following the method outlined by Berg et al. [35]. DNA concentration was obtained by measuring the absorbance using a Thermo Spectronic, BioMate 3 Spectrophotometer (Rochester, New York, USA) and confirmation of MTBC was done using PCR as outlined by Bhembe et al. [34]. The study was authorized by the University of Fort Hare Research Ethics Committee, and an ethical clearance was issued (REC-270710-028-RA).

2.2. Molecular Genotyping

2.2.1. Spoligotyping

Spoligotyping was carried out using a spoligotype kit (Isogen, Bioscience B.V., Utrecht, Netherlands) and PCR amplification, hybridization of amplified products, and detection and interpretation of results and recording of signals were executed as outlined by Kamerbeek et al. [36].

2.2.2. MIRU-VNTR

The isolates were further evaluated using 12-locus MIRU-VNTR typing. Amplification of MIRU loci was achieved individually with the primers specific for the flaking regions of each locus [13]. The PCR amplification mixture for each reaction contained 1x master mix (0.05 U/μl) Taq polymerase, 0.2 mM each of the deoxynucleotide triphosphates (New England Biolabs, Inc., Hitchin, UK), 2 mM MgCl₂, 2 μM of each primer pair, and 2 μl of DNA, and nuclease-free water was added to make a total volume of 25 μl.

Amplification was achieved using a MyCycler™ Thermal Cycler (Bio-Rad, Cape Town, South Africa) with 1 cycle of denaturing at 95°C for 15 minutes, followed by 38 cycles of 1 minute at 95°C and 1 minute at 72°C, followed by 1 cycle of final extension at 72°C for 10 minutes. The positive (H37Rv strain) and negative (sterile nuclease-free water) controls were added to the amplification. The amplicons were segregated on 3% agarose gel (Whitehead Scientific (Pty) Ltd., Cape Town, South Africa) using 100 bp ladder (New England Biolabs Inc., Hitchin, UK) as the size marker.

2.3. Data Analysis

All biotype results were captured into a Microsoft Excel sheet. The octal format and binary code for spoligotyping patterns and 12-locus MIRU-VNTR profiles were compared to all of those available in the SITVIT2 database as reported by Demay et al. [37]. The SITVIT WEB of Pasteur Institute of Guadeloupe was used to compare the spoligotyping data to more than 75,000 clinical isolates matching to 153 countries [38] and assign SIT numbers or orphan status to uploaded strains [37]. The SIT number was matched to strains that had identical patterns to patient isolates available on the database and isolates that did not have identical profiles were considered as orphan strains. The updated SpolDB4 was used to assign the lineages to the strain level. Orphan strains were further assigned TB lineages using the TB-lineage, following the application of the presence and absence of specific spacers rule using the SpolDB3 model [39]. This model assigns genotypes into the seven lineages classified as East-Asian, known as Beijing, Euro-American, and East-African Indian and ancestral (Western African 1 and Western African 2, representing M. africanum, M. bovis, and Indo-Oceanic) MTBC strains [40].

Phylogenetic trees were constructed based on spoligotyping, MIRU-VNTR, or their combined patterns using the MIRU-VNTRplus site (http://www.miru-vntrplus.org/MIRU/index.faces) [41]. Jaccard’s constant was employed to determine the distance matrix and neighbour-joining (NJ) clustering algorithms [13]. The MIRU-VNTRplus Database (http://www.miru-vntrplus.org) was then used to match the 12 MIRU-VNTR patterns, calculated for each of the loci using the Levenshtein algorithm (edit distance).

2.4. Statistical Analysis

The method of Hunter and Gaston [42] was used to calculate the Hunter-Gaston Index defining each MIRU-VNTR locus of the strains. The subsequent equation was used to obtain the diversity index, where is the total number of strains in the sample populace for a known locus, is the total number of different repeat unit values identified for the locus, and is the number of isolates having the value:The confidence interval, which is the accuracy of the diversity index articulated as 95% (upper and lower precincts), was also calculated with the Hunter-Gaston Index accessible from (http://www.hpa-bioinformatics.org.uk/cgi-bin/DICI/DICI.pl).

3. Results

Ten SITs belonging to five lineages were found in this study, with the lineages being the East-Asian (Beijing), M. microti, Euro-American, Indo-Oceanic, and M. bovis. The less frequent lineage was the Euro-American with three different clades, namely, LAM9, S, and X1 (0.6% each), as shown in Figure 1. The East-Asian (Beijing) was the predominant lineage with 29 among 162 isolates (17.9%). In this study, we found 110 (67.9%) orphans (isolates with unknown families) and 52 (32.1%) isolates from 10 spoligotype international types (SITs). The orphans were further demarcated in the SITVIT2 database following the SpolDB outlined rules (Figure 1). The 110 orphans after being further defined in the SITVIT2 constituted three lineages: Euro-American (1/110), Indo-Oceanic (108/110), and West-African 2 (1/110).

All three methods applied gave different clusters and clustering rates when phylogenetic trees were drawn. Spoligotyping alone exhibited 13 clusters (Figure 2) with an 82.1% clustering rate (Table 1) and VNTR alone exhibited 8 clusters (Figure 4) with a clustering rate of 4.8%. When spoligotyping and MIRU-VNTR analysis were combined, 11 clusters were revealed (Figure 5), with a 33.7% clustering rate (Table 1).

A confirmation of the 162 amplification products of the 12 alleles of a PCR analysis MIRU-VNTR for a Bov_4 caprea strain is shown in Figure 3.

The allelic diversity of the 12 MIRU-VNTR loci observed in this study ranged from 0.118 to 0.671, with MIRU 31 being the highest occurring locus with the highest diversity index of 0.671 and MIRU 1 having the lowest diversity index of 0.118 (Table 2).

HGDI is Hunter-Gaston Diversity Index; PD means poorly discriminatory ; HD means highly discriminatory ; MD means moderately discriminatory [41, 42].

Single methods showed a lower discriminatory power than the combined method. Spoligotyping alone had the lowest diversity index (DI) and a confidence interval of 0.449–0.520. MIRU-VNTR alone had a confidence interval of 0.629–0.712 at MIRU 31. Combining the two approaches of spoligotyping and MIRU-VNTR gave the highest discriminative power and a confidence interval of 0.635–0.718 at MIRU 31 (Table 1). Combining the two methods gave a higher discriminatory power than when the techniques were used discretely.

4. Discussion

South Africa is one of the countries with the highest burden of TB [43], and therefore it is important for South Africa to detect predominant strains to observe alterations in strain conformation within populations and to document the epidemiology of the infection. The nation’s MTBC diversity strains have been defined in various provinces including the Free State [23, 24, 26, 30–33, 44, 45]. Eastern Cape Province, which is the third largest province of South Africa with approximately 63% of the province’s population living in rural areas, has most data on human sputum samples [46]. However, Silaigwana et al. [6] reported high prevalence of MDR-TB in cattle in the Nkonkobe municipality of Eastern Cape Province. This indicates the increased risk of MTBC transmission between animals and also to humans.

This province has the second worst burden of poverty in South Africa, with a more than 55% rate of unemployment, which results in a high percentage of the population depending on subsistence farming [6]. Small stock farmers live in a nearby vicinity to their livestock to minimise the risk of theft. This could be a risk of transmitting MTBC strains from humans to animals and vice versa. Most people in the province consume unpasteurized milk from small-scale farmers to supplement their diets due to its low cost [6]. This could be another possibility of transmitting TB strains from cattle to humans and other animals (calves). Hence, it is significant to screen for MTBC in unpasteurized milk before human consumption. This study reports strain diversity from cattle lymph node samples in Eastern Cape Province for the first time.

The two techniques used in this study, namely, MIRU-VNTR typing and spoligotyping, make a good combination for detecting and genotyping the MTBC, including M. bovis [14, 47, 48], which has been reported to have few IS6110 or DR copy numbers [19].

Our results of 162 MTBC isolates show a high diversity of strains representing seven main lineages, namely, Bov_4-caprea (SIT 647), LAM (SIT 60), MANU (SIT 1247), Beijing (SIT 1), M. microti (SIT 539), S (SIT 34), and X (SIT 1329, 2286, and 92). There were also several orphan strains assigned to their most appropriate lineage and sublineage using the TB-insight database, which classified 110 strains into 3 lineages (1 Euro-American, 108 Indo-Oceanic, and 1 West-African 2). In the study, the Indo-Oceanic lineage, 69.8% (113/162), was more predominant. We were not able to further classify the Indo-Oceanic strains to their subsequent clades, East African-India (EAI) and MANU [49, 50]. We believe that our study has identified the Indo-Oceanic lineage in Eastern Cape Province for the first time in cattle, while the Beijing, LAM, and T families have been reported to be predominant by Said et al. [46]. The MANU and EAI families (from Indo-Oceanic) have been reported in 5 out of 9 provinces of the country from humans, namely, Gauteng [29], Free State [23], North-West, Limpopo [22], and Western Cape [51]. These families are prevalent in East, Middle, and Central Asia [22, 52].

The most frequently identified strain families in Africa are the families H, LAM, and T [22, 26, 53–56], which were not prevalent in our study, with only 2 being identified (0, 3.71%, and 0, resp.). Although these families have been identified in the African continent, their proportions are not consistent throughout the region and, in some countries, a few predominant strain families fuel the TB spread [53, 57]. These results of this study conducted in South Africa were expected because the strains for this study were isolated from cattle lymph nodes, not the human TB patients investigated in most studies. The underrepresentation of the three predominant families in Africa including South Africa could be the result of the lack of genotyping studies investigating strains isolated from cattle lymph nodes in South Africa. Additional analysis of strain spoligotypes isolated from cattle is mandatory to examine strains in the different provinces of South Africa.

In our study, we noted 1.9% prevalence of the M. bovis 4 subspecies-caprae (SIT 647), known as M. caprae strain. This strain has caprine herds as the primary host; bovine herds, however, as well as humans can also be hosts of this pathogen [58]. The M. bovis species was first reported in South Africa in 1880 and was alleged to have arrived with European settlers [59]. The first case of bovine TB in South Africa was reported in Eastern Cape Province isolated from the greater Kudu [60]. The strain has been reported in other countries such as Australia, Czech Republic, Sweden, and Ukraine [36]. The Microti (SIT 539) strain family associated with the East-Asian lineage was also isolated from our study (0.6%). We did not expect to isolate M. microti from cattle (a domestic animal) because it is known to be prevalent in wild rodents, and this could indicate transmission from either wild rodents or humans who were infected with this strain. We did not find any previous finding of M. microti from South African cattle, although it has been reported from Great Britain, USA, Switzerland, and Germany in llamas, humans, cats, and ferrets [19, 36].

The Beijing family (SIT1), with a distribution of 17.9% (29/162), was the most prevalent family identified. The strain is known to be associated with drug resistance [26, 61–63] and there are several theories that discuss the worldwide distribution of this strain due to its selective benefit over other clinical isolates in causing infections [61] in humans. The Beijing strain is the descendant of the M. tuberculosis ancestral strain [64]. The strain has been detected in several African countries in domestic animals [65, 66], thus increasing the risk of human infection.

Humans in rural settlements share proximity with cattle; this increases the possibility of spreading the Beijing strain from infected individuals to cattle. Our results substantiate the theory that bovine herds are sensitive to M. tuberculosis and the results concur with reports from other studies stating that M. tuberculosis, although primarily hosted by human beings, can infect both wild and domestic animals (including cattle) [67–72]. This signifies that bovine TB is of public health importance and there is a lack of published data on TB strains isolated from cattle in South Africa. Silaigwana et al. [6] reported finding MTBC detected from milk in Eastern Cape Province of South Africa, but genotypic studies of the isolated strains were not carried out. To the best of our knowledge, this study has isolated the M. tuberculosis Beijing lineage for the first time in South Africa from bovine herds. The lineage, however, has been isolated from cattle samples in other countries [35, 68, 73] including M. tuberculosis from cattle in African and Asian countries with animal TB prevalence of 4.7–30% [68, 70, 74]. The Beijing strain infection in cattle has been identified in countries with a high frequency of human TB [75]. This could be another reason for the prevalence of the Beijing strain from cattle, because South Africa had the third highest prevalence of 10.4 million new global TB cases detected in 2015, together with five other countries (India, Indonesia, China, Pakistan, and Nigeria) [76].

MIRU-VNTR carried out on the isolates showed a higher discriminating power than spoligotyping . However, the combination of the binary methods improved the discriminatory power . The combination of the two techniques reduced the clustering rate to 53.7%, although spoligotyping alone identified a clustering rate of 82.1% and MIRU-VNTR identified a 64.8% clustering rate.

According to Van Soolingen [77], strains with similar clusters (patterns) are most likely to have been newly infected and are a potential target for epidemiological studies to detect the series of transmission. However, it is difficult to understand the ratio of disease caused by the most recent transmission derived directly from a cluster ratio [78], as this can be caused by different factors. For example, even in rural inhabitants, clustering might derive from concurrent recurrence of developed infection from the equivalent basis [79]. The clustering rate observed from this study was (53.7%) lower than the clustering rates of other studies in South Africa [25, 28, 29, 32].

This difference could be due to the fact that previous genotypic studies conducted in South Africa considered transmission from only MDR-TB strains isolated from humans. From this study, we believe that the low clustering rate observed was because the samples used in this study were from cattle, which are slaughtered within a few years of life, as compared to humans who live long lives, increasing the chances of MTBC infection and allowing the disease to progress and even develop to MDR-TB. Our results, however, do have comparable clustering rates to those detected from other African countries [80–82]. We speculate that the high MTBC lineages commoly reported from human specimens observed from cattle lymph nodes in this study may possibly be due to the proximicity shared between the animals and humans who might be having active TB, thus passing the infection to the animals.

5. Conclusion

The results from this investigation elucidate the diversity of TB from Eastern Cape Province. This study reports a high level of typical human MTBC lineages in cattle; this could be due to the fact that farmers share proximity with their animals and these lineages could be transmitted from them to the animals through aerosols. The clustering rate observed from the study may possibly indicate the transmission of different strains in the province. The study also shows the effectiveness of the combination of MIRU-VNTR and spoligotyping (high discriminatory power) and it suggests that it can be used to investigate bovine TB samples in South Africa. The strains that were not identified in the spoligotyping international database (orphans) still need to be further investigated.

Conflicts of Interest

The authors declare that there are no conflicts of interest regarding the publication of this paper.

Acknowledgments

The authors would like to acknowledge the South African National Research Foundation (NRF) and the South African Medical Research Council (SAMRC) for funding this project and the University of Fort Hare for allowing them to conduct this research.

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Copyright © 2018 Nolwazi Londiwe Bhembe et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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