» Articles » PMID: 37295446

Effect of Compensatory Evolution in the Emergence and Transmission of Rifampicin-resistant Mycobacterium Tuberculosis in Cape Town, South Africa: a Genomic Epidemiology Study

Abstract

Background: Experimental data show that drug-resistance-conferring mutations are often associated with a decrease in the replicative fitness of bacteria in vitro, and that this fitness cost can be mitigated by compensatory mutations; however, the role of compensatory evolution in clinical settings is less clear. We assessed whether compensatory evolution was associated with increased transmission of rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa.

Methods: We did a genomic epidemiological study by analysing available M tuberculosis isolates and their associated clinical data from individuals routinely diagnosed with rifampicin-resistant tuberculosis in primary care and hospitals in Khayelitsha, Cape Town, South Africa. Isolates were collected as part of a previous study. All individuals diagnosed with rifampicin-resistant tuberculosis and with linked biobanked specimens were included in this study. We applied whole-genome sequencing, Bayesian reconstruction of transmission trees, and phylogenetic multivariable regression analysis to identify individual and bacterial factors associated with the transmission of rifampicin-resistant M tuberculosis strains.

Findings: Between Jan 1, 2008, and Dec 31, 2017, 2161 individuals were diagnosed with multidrug-resistant or rifampicin-resistant tuberculosis in Khayelitsha, Cape Town, South Africa. Whole-genome sequences were available for 1168 (54%) unique individual M tuberculosis isolates. Compensatory evolution was associated with smear-positive pulmonary disease (adjusted odds ratio 1·49, 95% CI 1·08-2·06) and a higher number of drug-resistance-conferring mutations (incidence rate ratio 1·38, 95% CI 1·28-1·48). Compensatory evolution was also associated with increased transmission of rifampicin-resistant disease between individuals (adjusted odds ratio 1·55; 95% CI 1·13-2·12), independent of other patient and bacterial factors.

Interpretation: Our findings suggest that compensatory evolution enhances the in vivo fitness of drug-resistant M tuberculosis genotypes, both within and between patients, and that the in vitro replicative fitness of rifampicin-resistant M tuberculosis measured in the laboratory correlates with the bacterial fitness measured in clinical settings. These results emphasise the importance of enhancing surveillance and monitoring efforts to prevent the emergence of highly transmissible clones capable of rapidly accumulating new drug resistance mutations. This concern becomes especially crucial at present, because treatment regimens incorporating novel drugs are being implemented.

Funding: Funding for this study was provided by a Swiss and South Africa joint research award (grant numbers 310030_188888, CRSII5_177163, and IZLSZ3_170834), the European Research Council (grant number 883582), and a Wellcome Trust fellowship (to HC; reference number 099818/Z/12/Z). ZS-D was funded through a PhD scholarship from the South African National Research Foundation and RMW was funded through the South African Medical Research Council.

Citing Articles

Phenotypic drug resistance and genetic mutations linked to resistance among extrapulmonary tuberculosis patients in Ethiopia: Insights from Whole Genome Sequencing.

Mollalign H, Hailu Alemayehu D, Beyene D, Melaku K, Ayele A, Chala D Res Sq. 2025; .

PMID: 39764135 PMC: 11702858. DOI: 10.21203/rs.3.rs-5302564/v1.


Multidrug-resistant tuberculosis clusters and transmission in Taiwan: a population-based cohort study.

Liu K, Xiao Y, Jou R Front Microbiol. 2024; 15:1439532.

PMID: 39360329 PMC: 11445003. DOI: 10.3389/fmicb.2024.1439532.


The yin and yang of the universal transcription factor NusG.

Delbeau M, Froom R, Landick R, Darst S, Campbell E Curr Opin Microbiol. 2024; 81:102540.

PMID: 39226817 PMC: 11421859. DOI: 10.1016/j.mib.2024.102540.


Large-scale statistical analysis of Mycobacterium tuberculosis genome sequences identifies compensatory mutations associated with multi-drug resistance.

Billows N, Phelan J, Xia D, Peng Y, Clark T, Chang Y Sci Rep. 2024; 14(1):12312.

PMID: 38811658 PMC: 11137121. DOI: 10.1038/s41598-024-62946-8.


HIV co-infection is associated with reduced Mycobacterium tuberculosis transmissibility in sub-Saharan Africa.

Windels E, Wampande E, Joloba M, Boom W, Goig G, Cox H PLoS Pathog. 2024; 20(5):e1011675.

PMID: 38696531 PMC: 11093396. DOI: 10.1371/journal.ppat.1011675.


References
1.
Ho L, Ane C . A linear-time algorithm for Gaussian and non-Gaussian trait evolution models. Syst Biol. 2014; 63(3):397-408. DOI: 10.1093/sysbio/syu005. View

2.
Chen Y, Liu Q, Takiff H, Gao Q . Comprehensive genomic analysis of Mycobacterium tuberculosis reveals limited impact of high-fitness genotypes on MDR-TB transmission. J Infect. 2022; 85(1):49-56. DOI: 10.1016/j.jinf.2022.05.012. View

3.
Merker M, Rasigade J, Barbier M, Cox H, Feuerriegel S, Kohl T . Transcontinental spread and evolution of Mycobacterium tuberculosis W148 European/Russian clade toward extensively drug resistant tuberculosis. Nat Commun. 2022; 13(1):5105. PMC: 9426364. DOI: 10.1038/s41467-022-32455-1. View

4.
Salaam-Dreyer Z, Streicher E, Sirgel F, Menardo F, Borrell S, Reinhard M . Rifampicin-Monoresistant Tuberculosis Is Not the Same as Multidrug-Resistant Tuberculosis: a Descriptive Study from Khayelitsha, South Africa. Antimicrob Agents Chemother. 2021; 65(11):e0036421. PMC: 8522772. DOI: 10.1128/AAC.00364-21. View

5.
Phelanyane F, Heekes A, Smith M, Jennings K, Mudaly V, Pieters P . Prevention of vertical transmission of HIV in Khayelitsha, South Africa: A contemporary review of services after 20 years. S Afr Med J. 2023; 113(10):14-19. DOI: 10.7196/SAMJ.2023.v113i10.861. View