Introduction
Tuberculosis (TB), especially drug-resistant TB, poses a serious challenge to disease control in China. An effective TB control program should be based on a comprehensive understanding of the circulating
Mycobacterium tuberculosis (MTB) in the country. Previous studies have indicated that the recent transmission of MTB strains, including multidrug-resistant (MDR) ones (resistance to at least isoniazid and rifampin), contributes substantially to the TB disease burden in China; about one-third of MDR-TB cases are attributed to this recent transmission [
1,
2]. The factors that contribute to the development and transmission of MTB are complex, and previous studies have focused on inadequate therapy, poor implementation of national TB programs, and host susceptibility. However, MTB-related characteristics, including the ability to infect the host, persist, proliferate, and transmission have often been ignored. Gene mutations that confer drug resistance are commonly associated with fitness costs [
3,
4], and drug-resistant bacteria are usually considered to be less fit than susceptible strains and less likely to cause epidemics than drug-sensitive ones. However, a previous study revealed that several drug resistance mutations concomitantly lower or obviate fitness costs and that low average fitness costs of mutations are associated with increased severity of epidemics caused by drug-resistant TB [
5]. Mathematical model results have also shown that the relative fitness of drug-resistant strains may play an important role in spreading MDR-TB [
6,
7].
Rifampin (RMP) is an important first-line anti-TB drug, and resistance to RMP poses a serious challenge to the effective treatment of TB or MDR-TB. RMP resistance results from mutations in the RMP resistance-determining region (RRDR) of the
rpoB gene, which encodes the
b subunit of RNA polymerase. RMP resistance can be caused by different mutations in the
rpoB gene, but clinical strains with
rpoB mutation S531L are highly prevalent [
8]. The success of S531L mutations in clinical MTB isolates may depend not only on a low initial fitness cost but also on the ability to acquire compensatory mutations for further reducing the fitness cost; this compensatory evolution can reduce initial fitness defects caused by particular drug resistance-conferring mutations and is potentially important for the long-term persistence of drug resistance [
9–
12].
Among fitness compensatory mutations with the
rpoB gene,
rpoA and
rpoC genes, which encode
a and
b′ subunits of RNA polymerase, respectively, have been extensively investigated; a study on MTB has revealed that mutations in
rpoA and
rpoC are common among clinical strains with
rpoB S531L mutations [
13]. Other studies assessed the possible link between
rpoC mutations and MTB transmission by comparing the proportion of compensatory
rpoC mutations in clustered or nonclustered strains; these studies found that compensatory mutations are more common in clustered than in nonclustered strains and concluded that
rpoC mutations may restore the fitness cost caused by resistance-conferring mutations, thereby enhancing the ability of MDR-TB strains to spread [
14,
15]. However, MDR-TB strains with compensatory mutations are unlikely to cluster and do not promote the influence of compensatory mutations on MDR-TB transmission [
16]. These contradicting conclusions highlight the need for future studies. In the current study, we used strains collected from four provinces and two municipalities to describe the profile of mutations in the
rpoC gene and determine if compensatory mutations facilitate the spreading of MTB.
Materials and methods
Study population
The study sample comprised MTB cultures isolated from patients with smear-positive pulmonary TB who visited local TB hospitals or dispensaries between February 2012 and October 2013 in four provinces (Heilongjiang, Henan, Sichuan, and Zhejiang) and two municipalities (Chongqing and Tianjin) in China. Only one isolate from each patient was included in this study.
Drug susceptibility testing
Acid-fast bacillus (AFB) positive cultures recovered from a Löwenstein–Jensen (L–J) medium were used for identification and drug susceptibility testing (DST). MTB identification was performed by testing susceptibility to p-nitrobenzoic acid. Susceptibility to RMP, isoniazid, streptomycin, ethambutol, kanamycin, and ofloxacin was examined by applying the proportion method in L–J medium in accordance with the World Health Organization’s standard proportional method.
DNA extraction
DNA was extracted from MTB isolates grown on L–J medium via a simple method. Bacteria were suspended in 400 mL of 1×TE buffer, heat killed at 80 °C for 30 min, boiled at 100 °C for 15 min, and centrifuged at 12 000 g for 15 min to remove cell debris. The supernatant was stored at −20 °C for further use.
rpoB and rpoC gene amplification and sequence analysis
Polymerase chain reaction (PCR) amplification was performed, followed by DNA sequencing of the
rpoB RMP RRDR region, which is an 81 bp hotspot region (codons 507 to 533) of the
rpoB gene. The primers for
rpoB were
rpoB F(5′-TACGGTCGGCGAGCTGATCC-3′) and
rpoB R(5′-TACGGCGTTTCGATGAACC-3′). The entire
rpoC locus (Rv0668) was amplified and sequenced. The primer sequence used for
rpoC was obtained from a previous work [
14]. PCR amplification was performed under the following conditions: 5 min of denaturation at 94 °C, 30 cycles of denaturation at 94 °C for 30 s, annealing at 58 °C for 30 s, elongation at 72 °C for 30 s, and final extension of 7 min at 72 °C. The amplicons were purified and sequenced with the ABI DNA sequencer model 377, and sequences were analyzed using DNAstar and BioEdit software.
Molecular genotyping
MTB Beijing genotype was identified via RD-105 multiplex PCR [
17]. Mycobacterial interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) typing was performed on chromosomal DNA extracted from MTB isolates. PCR was conducted to amplify a standard panel of 15 loci [
18], and the PCR products were separated on 2% agarose gel with 50 or 100 bp DNA markers. DNA extracted from the reference strain H37Rv was used as positive control. A MIRU-VNTR cluster was defined when two or more isolates from different patients showed the same 15-locus MIRU-VNTR genotype profiles; otherwise, the isolates were considered unique.
Statistical analyses
The cluster of MIRU-VNTR genotyping was performed with the MIRU-VNTRplus web application (http://www.miru-vntrplus.org/MIRU/index.faces). Statistical analyses were performed with SAS9.1 (SAS Institute Inc.). Univariate and multivariate logistic regression were used to identify the risk factors for rpoC mutation or factors for MIRU-VNTR cluster. Variables with P<0.05 were considered statistically significant.
Results
Characteristics of the study population and isolated mycobacteria
A total of 257 patients were included in this study. Among the mycobacterial isolates, eight were identified as nontuberculous mycobacteria. Among the 249 MTB isolates, 245 had available results on DST, genotyping, and gene sequencing. The median age of the study patients was 44.2±16.3 years (14–82 years), and 183 (75.0%) patients were male. Among the 243 patients with available treatment history, 125 (51.4%) were new. According to the DST results, 94 (38.4%) were RMP-sensitive isolates, and 151 (61.6%) were RMP-resistant isolates, among which 103 (42.0%) were RMP monoresistant or MDR isolates and 48 (19.6%) were pre-extensively drug-resistant (pre-XDR, defined as strains resistant to isoniazid and RMP and to at least one fluoroquinolone or one second-line injectable agent [SLI]: kanamycin, amikacin, or capreomycin) or XDR (defined as strains with resistance to at least isoniazid, RMP, a fluoroquinolone, and at least one SLI) isolates. RD-105 multiplex PCR revealed that 198 (80.8%) were Beijing family strains.
Characteristics of mutations in the rpoC gene
Gene sequence analyses revealed that 55 (36.4%) RMP-resistant isolates harbored 29 nonsynonymous single mutations and 3 double mutations in the rpoC gene. The rpoC gene loci frequently involved in the mutations were codon 483 (11.3%), followed by codons 484 (2.0%), 491 (2.0%), 698 (2.0%), 516 (1.3%), 332 (1.3%), 521 (1.3%), 566 (1.3%), and 788 (1.3%). Seven nonsynonymous mutations at V483G, W484G, I491V, L516P, L566R, N698K, and A788E accounted for 54.5% of the total detected mutations. Fifteen new mutations, which have not been previously reported, were found in the rpoC gene (Table 1, Fig. 1). For the 94 RMP-susceptible isolates, 4 (4.26%) nonsynonymous (R703C, I800V, D279G, and A466E) and 3 synonymous (2 isolates with P1040P and one isolate with G109G) mutations were identified. The results were confirmed by repeated phenotypic DST and sequencing of the RRDR of rpoB and the entire rpoC gene.
Factors associated with rpoC mutation
Logistic regression models were used to identify the possible risk factors associated with rpoC mutation. The analyzed factors included age, gender, treatment history, strain family, RMP susceptibility, and rpoB mutation. Univariate and multivariate analyses revealed that host factors, such as age, gender, and treatment history, were not associated with mutations in the rpoC gene. The strain background Beijing family was not associated with mutations in rpoC either, whereas RMP resistance (monoresistant or MDR, pre-XDR, or XDR) and rpoB mutation at locus 531 were statistically associated with mutations in the rpoC gene (Table 2).
The sequencing of the RRDR of the rpoB gene of 151 RMP-resistant strains revealed that 144 (95.4%) of the isolates carried nonsynonymous mutations, 71 (47.0%) harbored point mutations at locus 531, 69 (45.7%) showed mutation S531L, and 2 (1.3%) had mutation S531W. Among the 71 strains with mutations at locus 531 of the rpoB gene, 36 (50.7%) also harbored rpoC mutation, which was significantly higher than that of isolates with no mutation or mutations at loci other than locus 531 of the rpoB gene (P<0.0001, Table 2).
Factors associated with MIRU-VNTR clusters
According to results of MIRU-VNTR genotyping in this study, 45 (18.4%) isolates were distributed across 20 clusters, 17 of which were composed of 2 strains each, 1 cluster was formed by 3 strains, and 2 clusters were composed of 4 strains each.
To determine possible factors associated with MTB transmissibility, we compared the proportion of relative factors between isolates belonging to MIRU-VNTR clusters and isolates with a unique profile. Host factors, such as age, gender, and treatment history, and bacterial factors, including strain family, RMP phenotypic drug resistance profile, and rpoB and rpoC mutations, were included in the logistic regression model. Multivariate logistic regression analysis revealed that host factors, including age, gender, and treatment history, were not associated with MIRU-VNTR clusters (Table 3). In the MIRU-VNTR clusters, the proportion of Beijing family strains was higher than that of non-Beijing family ones. However, this difference was not statistically significant in the multivariate regression model (P = 0.1238). Compared with RMP-susceptible isolates, the proportions of isolates in the clusters increased with high levels of drug resistance but were not statistically significant (P = 0.4091, P = 0.1613). Similarly, we did not find any association between rpoB mutation and MIRU-VNTR clusters (P = 0.8095). We investigated the link between rpoC mutations and MTB transmissibility by comparing the proportion of isolates with and without rpoC mutations in the clusters. Approximately 25.4% of the isolates harbored rpoC mutation, which was slightly higher than that of isolates without rpoC mutation (16.1%). However, this value was not statistically significant (P = 0.4519, Table 3).
We used RMP-resistant isolates as a subset to assess if rpoC mutations facilitate the transmission of RMP-resistant strains and found that the proportions of isolates with and without rpoC mutation in the MIRU-VNTR clusters were 27.3% and 18.8%, respectively. This difference was not statistically significant (OR, 1.625, 95% CI, 0.742–3.560, P = 0.2248).
Discussion
This study examined the profile of compensatory mutations in the
rpoC gene of MTB isolates from patients with pulmonary TB in two municipalities and four provinces of China and investigated the possible factors associated with the transmission of MTB. The results showed that 36.4% of the RMP-resistant MTB isolates harbored nonsynonymous
rpoC mutations. Of the RMP-resistant isolates with nonsynonymous mutations in the
rpoC gene, 98.2% (54/55) harbored mutations in the RRDR of the
rpoB gene. A recent study on MTB revealed that more than 30% of MDR clinical strains isolated from high-burden countries have compensatory mutations [
19], and the proportion of compensatory mutations found in the present study is slightly larger than that reported in high-burden countries. Previous studies have revealed that RMP-resistant strains harbor
rpoC mutations, but these mutations do not appear in any RMP-sensitive isolates [
14,
19–
21]. In the current study, four nonsynonymous and three synonymous mutations were identified in RMP-sensitive isolates. These results are in accordance with those of a previous study conducted in China [
15]. Such mutations should be studied in the future.
In this study, we identified 29 nonsynonymous single mutations and 3 double mutations in the
rpoC gene. Although most of the mutations in
rpoC have been previously reported [
14–
16,
19,
21–
24], we identified 12 new point mutations and 3 double mutations in
rpoC.
We analyzed the diversities of rpoC mutations in different codons of the rpoB gene and found that different loci (511, 516, 522, 526, and 531) of the rpoB gene exhibited varying patterns of compensatory mutations of rpoC, except for V483G of rpoC mutation, which was identified at loci 516 and 531 of the rpoB gene. We identified 9 and 18 different types of rpoC mutations at locus 526 (including double mutation H526N and M515V) and locus 531 (including double mutation S531L and L511P) of rpoB, respectively. Mutation with S531L had a different type of rpoC mutation and a high level of diversity.
Multivariate logistic regression analysis revealed a statistically significant association between
rpoC mutation and RMP resistance and mutations at locus 531 of the
rpoB gene. This result is in accordance with those of previous studies [
14,
15,
22]. In the current study, strains carrying mutations at locus 531 of
rpoB were frequently found in the isolated strains. Approximately 50.0% of isolates with point mutations at locus 531 of the
rpoB gene harbored
rpoC mutation, which was significantly higher than that of no mutation or mutation(s) at loci other than locus 531. An explanation for this result is compensatory mutation [
19,
25,
26]. Previous studies have strongly implied that
rpoC and
rpoA mutations in RMP-resistant MTB are fitness compensatory mutations, and strains with these compensatory mutations show high competitive fitness not only
in vitro but also
in vivo [
27,
28]. Another possible reason may be related to the structure of DNA-dependent RNA polymerase. In bacteria, this enzyme comprises multiple subunits (
a2
bb′
w), among which the two largest subunits (
b′ and
b) that contain collinearly arranged segments of a conserved sequence are encoded by
rpoC and
rpoB. The evolutionary relationship between
b′ and
b subunits may be particularly strong. Polymorphisms in the subunits of an enzyme may interact closely with one other to reduce initial fitness defects caused by drug-resistant conferring mutation [
19,
29,
30].
The influence of bacterial factors, such as genetic, clinical, and demographic characteristics of patients, on MTB clustering was analyzed in this study. In contrast with a previous study, we did not find patients infected with the Beijing family strain to be clustered [
31]. Our study did not identify any risk factors, such as RMP resistance profile,
rpoB mutation, or treatment history of patients that were statistically significant associated with MIRU-VNTR clusters.
rpoC mutation was not a risk factor significantly associated with MIRU-VNTR clusters, a result that is consistent with that of a recent report [
16,
23] but contrary to those in other studies [
14,
15]. These heterogeneous results may be due to differences in study setting, study object, methodologies applied, and quality of the TB control program.
Our study has several limitations. First, the 15 loci for the MIRU-VNTR analysis of MTB may have decreased the discrimination power and thus overestimated the cluster rate in this study. Second, according to previous studies,
rpoC mutations are more frequent than
rpoA gene mutations [
14].Thus,
rpoC was sequenced for mutation detection, and
rpoA gene mutation was not. Third, according to the findings of a previous study [
32], 95% of RMP-resistant mutations are present in the
rpoB gene, and the majority of the mutations in the
rpoB gene are within RRDR. Thus, this study focused on sequencing the RRDR of the
rpoB gene and may have missed mutations located outside of the RRDR of the
rpoB gene.
In summary, this study found a high proportion of rpoC mutations in RMP-resistant MTB isolates prevalent in China. The results showed a significant association between rpoC and rpoB mutations at locus 531, suggesting that rpoC mutation may reduce the fitness cost of RMP-resistant MTB, leading to compensated transmissibility. However, the finding on the lack of significant association of rpoC mutation with the clustering of MTB isolates does not support the role of rpoC mutation in transmissibility.
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