Abstract
Background: While, bacteria resistance mutations can affect competitive fitness, given our multidrug-resistant (MDR) prevalence, we conducted this study to determine the impact of MDR on the competitive fitness of Mycobacterium tuberculosis (MTB) complex MDR strains. We conducted a cross-sectional study at the University Clinical Research Center (UCRC) from January to December 2017. New TB patients over aged of 18 were recruited at University teaching hospital and health reference centers of Bamako in USTTB Ethical committee approved protocols. Methods: MDR and drug-susceptible (wild-type [WT]) MTB strains (T1 and Beijing) and MTB H37Rv were competed on solid media in UCRC's Tuberculosis Laboratory. Competitive and individual cultures were incubated for 14 days at 37°C with 7% CO2. Number of generation, generation time, and relative competitive fitness (W) of the strains were calculated. Data were analyzed with Epi-Info 7.1.5.2 software (CDC). P value was considered significant when it was <0.05. Scientific calculator (CS-82TL) was used for competitive fitness parameters calculations. Results: We performed 24 competitive cultures and 10 individual cultures. In individual cultures, strains' generation number was for Beijing (WT: 4.60 and mutant MR: 4.40), T1 (WT: 2.69 and MR: 2.37), and H37Rv: 2.91. Generation number of WT strains was less than those of MDR strains in both individual and competitive culture. Relative competitive fitness was below 1 (W<1) in 83.3%. Conclusion: MDR strains were less competitive than WT strains in 83.3% of cases. Resistant mutation impacts bacteria fitness.
Original language | English (US) |
---|---|
Pages (from-to) | 287-291 |
Number of pages | 5 |
Journal | International Journal of Mycobacteriology |
Volume | 8 |
Issue number | 3 |
DOIs | |
State | Published - Jul 1 2019 |
Keywords
- Cost of resistance
- In vitro competition
- Mali
- Mycobacterium tuberculosis-multidrug-resistant
ASJC Scopus subject areas
- Microbiology (medical)
- Infectious Diseases
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Competitive fitness of Mycobacterium tuberculosis in vitro. / Kodio, Ousmane; Togo, Antieme Combo Georges; Sarro, Yeya Dit Sadio et al.
In: International Journal of Mycobacteriology, Vol. 8, No. 3, 01.07.2019, p. 287-291.Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Competitive fitness of Mycobacterium tuberculosis in vitro
AU - Kodio, Ousmane
AU - Togo, Antieme Combo Georges
AU - Sarro, Yeya Dit Sadio
AU - Fane, Bintou
AU - Diallo, Fatimata
AU - Somboro, Amadou
AU - Degoga, Boureima
AU - Kone, Mahamadou
AU - Coulibaly, Gagni
AU - Tolofoudje, Mohamed
AU - Bane, Sidy
AU - Sanogo, Moumine
AU - Kone, Bourahima
AU - Coulibaly, Nadie
AU - Dabitao, Djeneba
AU - Baya, Bocar
AU - Maiga, Mamoudou
AU - Bougoudogo, Flabou
AU - Samake, Fasse
AU - Dao, Sounkalo
AU - Doumbia, Seydou
AU - Diallo, Souleymane
AU - Diarra, Bassirou
N1 - Funding Information: 287 291 10.4103/ijmy.ijmy_97_19 Background: While, bacteria resistance mutations can affect competitive fitness, given our multidrug-resistant (MDR) prevalence, we conducted this study to determine the impact of MDR on the competitive fitness of Mycobacterium tuberculosis (MTB) complex MDR strains. We conducted a cross-sectional study at the University Clinical Research Center (UCRC) from January to December 2017. New TB patients over aged of 18 were recruited at University teaching hospital and health reference centers of Bamako in USTTB Ethical committee approved protocols. Methods: MDR and drug-susceptible (wild-type [WT]) MTB strains (T1 and Beijing) and MTB H37Rv were competed on solid media in UCRC's Tuberculosis Laboratory. Competitive and individual cultures were incubated for 14 days at 37°C with 7% CO2. Number of generation, generation time, and relative competitive fitness (W) of the strains were calculated. Data were analyzed with Epi-Info 7.1.5.2 software (CDC). P value was considered significant when it was <0.05. Scientific calculator (CS-82TL) was used for competitive fitness parameters calculations. Results: We performed 24 competitive cultures and 10 individual cultures. In individual cultures, strains' generation number was for Beijing (WT: 4.60 and mutant MR: 4.40), T1 (WT: 2.69 and MR: 2.37), and H37Rv: 2.91. Generation number of WT strains was less than those of MDR strains in both individual and competitive culture. Relative competitive fitness was below 1 (W<1) in 83.3%. Conclusion: MDR strains were less competitive than WT strains in 83.3% of cases. Resistant mutation impacts bacteria fitness. http://www.ijmyco.org/article.asp?issn=2212-5531;year=2019;volume=8;issue=3;spage=287;epage=291;aulast=Kodio;type=0 http://www.ijmyco.org/article.asp?issn=2212-5531;year=2019;volume=8;issue=3;spage=287;epage=291;aulast=Kodio Cost of resistance in vitro competition Mali Mycobacterium tuberculosis-multidrug-resistant Kodio Ousmane University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako; National Health Laboratory, Ministry of Health and Social Affairs, Bamako Georges Togo Antieme University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Sadio Sarro Yeya University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Fane Bintou University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Diallo Fatimata University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Somboro Amadou University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Degoga Boureima University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Kone Mahamadou University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Coulibaly Gagni University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Tolofoudje Mohamed University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Bane Sidy University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Sanogo Moumine University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Kone Bourahima University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Coulibaly Nadie University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Dabitao Djeneba University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Baya Bocar University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Maiga Mamoudou Center for Innovation in Global Health Technologies, Northwestern University, Feinberg School of Medicine, Chicago, IL Bougoudogo Flabou National Institute of Public Health Research, Ministry of Health and Social Affairs, Bamako Samake Fasse Microbial Biotechnology Laboratory, University of Sciences, Techniques and Technologies of Bamako, Bamako Dao Sounkalo University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Doumbia Seydou University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Diallo Souleymane University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako Diarra Bassirou University Clinical Research Center, University of Sciences, Techniques and Technologies of Bamako, Bamako WHO. Report on the fight against tuberculosis in the world. Orientation Summary; 2017. Available from: https://www.who.int/tb/ publications/global_report/gtbr2017_executive_summary_fr.pdf. [Last accessed on 2019 May 10]. Andersson DI, Levin BR. The biological cost of antibiotic resistance. Curr Opin Microbiol 1999;2:489-93. Borrell S, Gagneux S. Infectiousness, reproductive fitness and evolution of drug-resistant Mycobacterium tuberculosis. Int J Tuberc Lung Dis 2009;13:1456-66. Cohen T, Murray M. Modeling epidemics of multidrug-resistant M. tuberculosis of heterogeneous fitness. Nat Med 2004;10:1117-21. Bhatter P, Chatterjee A, D'souza D, Tolani M, Mistry N. Estimating fitness by competition assays between drug susceptible and resistant Mycobacterium tuberculosis of predominant lineages in Mumbai, India. PLoS One 2012;7:e33507. Nieto R LM, Mehaffy C, Creissen E, Troudt J, Troy A, Bielefeldt-Ohmann H, et al. Virulence of Mycobacterium tuberculosis after acquisition of isoniazid resistance: Individual nature of katG mutants and the possible role of ahpC. PLoS One 2016;11:e0166807. Kempf I, Zeitouni S. The cost of antibiotic resistance: analysis and consequences. Pathol Biol (Paris). 2012;60:e9-14. Melnyk AH, Wong A, Kassen R. The fitness costs of antibiotic resistance mutations. Evol Appl 2015;8:273-83. Li QJ, Jiao WW, Yin QQ, Xu F, Li JQ, Sun L, et al. Compensatory mutations of rifampin resistance are associated with transmission of multidrug-resistant Mycobacterium tuberculosis Beijing genotype strains in China. Antimicrob Agents Chemother 2016;60:2807-12. Schulz zur Wiesch P, Engelstädter J, Bonhoeffer S. Compensation of fitness costs and reversibility of antibiotic resistance mutations. Antimicrob Agents Chemother 2010;54:2085-95. Gagneux S. Fitness cost of drug resistance in Mycobacterium tuberculosis. Clin Microbiol Infect 2009;15 Suppl 1:66-8. Togo ACG, Kodio O, Diarra B, Sanogo M, Coulibaly G, Bane S, et al. The most frequent Mycobacterium tuberculosis complex families in Mali (2006-2016) based on spoligotyping. Int J Mycobacteriol 2017;6:379-86. Diarra B, Goita D, Tounkara S, Sanogo M, Baya B, Togo AC, et al. Tuberculosis drug resistance in Bamako, Mali, from 2006 to 2014. BMC Infect Dis 2016;16:714. Traore B, Diarra B, Dembele BP, Somboro AM, Hammond AS, Siddiqui S, et al. Molecular strain typing of Mycobacterium tuberculosis complex in Bamako, Mali. Int J Tuberc Lung Dis 2012;16:911-6. Diarra B, Toloba Y, Konate B, Sanogo M, Togo ACG, Camara F, et al. Extensively drug resistant tuberculosis in Mali: A case report. BMC Res Notes 2017;10:561. Diarra B, Siddiqui S, Sogoba D, Traore B, Maiga M, Washington J, et al. Mycobacterium tuberculosis Beijing strain, Bamako, Mali. Emerg Infect Dis 2010;16:362-3. Liu Q, Luo T, Dong X, Sun G, Liu Z, Gan M, et al. Genetic features of Mycobacterium tuberculosis modern Beijing sublineage. Emerg Microbes Infect 2016;5:e14. Wichelhaus TA, Böddinghaus B, Besier S, Schäfer V, Brade V, Ludwig A. Biological cost of rifampin resistance from the perspective of Staphylococcus aureus. Antimicrob Agents Chemother 2002;46:3381-5. Toungoussova OS, Caugant DA, Sandven P, Mariandyshev AO, Bjune G. Impact of drug resistance on fitness of Mycobacterium tuberculosis strains of the W-Beijing genotype. FEMS Immunol Med Microbiol 2004;42:281-90. Billington OJ, McHugh TD, Gillespie SH. Physiological cost of rifampin resistance induced in vitro in Mycobacterium tuberculosis. Antimicrob Agents Chemother 1999;43:1866-9. Be'er A, Zhang HP, Florin EL, Payne SM, Ben-Jacob E, Swinney HL. Deadly competition between sibling bacterial colonies. Proc Natl Acad Sci U S A 2009;106:428-33. Naidoo CC, Pillay M. Increased in vitro fitness of multi- and extensively drug-resistant F15/LAM4/KZN strains of Mycobacterium tuberculosis. Clin Microbiol Infect 2014;20:O361-9. Publisher Copyright: © 2019 International Journal of Mycobacteriology | Published by Wolters Kluwer-Medknow.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - Background: While, bacteria resistance mutations can affect competitive fitness, given our multidrug-resistant (MDR) prevalence, we conducted this study to determine the impact of MDR on the competitive fitness of Mycobacterium tuberculosis (MTB) complex MDR strains. We conducted a cross-sectional study at the University Clinical Research Center (UCRC) from January to December 2017. New TB patients over aged of 18 were recruited at University teaching hospital and health reference centers of Bamako in USTTB Ethical committee approved protocols. Methods: MDR and drug-susceptible (wild-type [WT]) MTB strains (T1 and Beijing) and MTB H37Rv were competed on solid media in UCRC's Tuberculosis Laboratory. Competitive and individual cultures were incubated for 14 days at 37°C with 7% CO2. Number of generation, generation time, and relative competitive fitness (W) of the strains were calculated. Data were analyzed with Epi-Info 7.1.5.2 software (CDC). P value was considered significant when it was <0.05. Scientific calculator (CS-82TL) was used for competitive fitness parameters calculations. Results: We performed 24 competitive cultures and 10 individual cultures. In individual cultures, strains' generation number was for Beijing (WT: 4.60 and mutant MR: 4.40), T1 (WT: 2.69 and MR: 2.37), and H37Rv: 2.91. Generation number of WT strains was less than those of MDR strains in both individual and competitive culture. Relative competitive fitness was below 1 (W<1) in 83.3%. Conclusion: MDR strains were less competitive than WT strains in 83.3% of cases. Resistant mutation impacts bacteria fitness.
AB - Background: While, bacteria resistance mutations can affect competitive fitness, given our multidrug-resistant (MDR) prevalence, we conducted this study to determine the impact of MDR on the competitive fitness of Mycobacterium tuberculosis (MTB) complex MDR strains. We conducted a cross-sectional study at the University Clinical Research Center (UCRC) from January to December 2017. New TB patients over aged of 18 were recruited at University teaching hospital and health reference centers of Bamako in USTTB Ethical committee approved protocols. Methods: MDR and drug-susceptible (wild-type [WT]) MTB strains (T1 and Beijing) and MTB H37Rv were competed on solid media in UCRC's Tuberculosis Laboratory. Competitive and individual cultures were incubated for 14 days at 37°C with 7% CO2. Number of generation, generation time, and relative competitive fitness (W) of the strains were calculated. Data were analyzed with Epi-Info 7.1.5.2 software (CDC). P value was considered significant when it was <0.05. Scientific calculator (CS-82TL) was used for competitive fitness parameters calculations. Results: We performed 24 competitive cultures and 10 individual cultures. In individual cultures, strains' generation number was for Beijing (WT: 4.60 and mutant MR: 4.40), T1 (WT: 2.69 and MR: 2.37), and H37Rv: 2.91. Generation number of WT strains was less than those of MDR strains in both individual and competitive culture. Relative competitive fitness was below 1 (W<1) in 83.3%. Conclusion: MDR strains were less competitive than WT strains in 83.3% of cases. Resistant mutation impacts bacteria fitness.
KW - Cost of resistance
KW - In vitro competition
KW - Mali
KW - Mycobacterium tuberculosis-multidrug-resistant
UR - http://www.scopus.com/inward/record.url?scp=85072117839&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072117839&partnerID=8YFLogxK
U2 - 10.4103/ijmy.ijmy_97_19
DO - 10.4103/ijmy.ijmy_97_19
M3 - Article
C2 - 31512606
AN - SCOPUS:85072117839
SN - 2212-5531
VL - 8
SP - 287
EP - 291
JO - International Journal of Mycobacteriology
JF - International Journal of Mycobacteriology
IS - 3
ER -