Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 6;10(8):1586.
doi: 10.3390/microorganisms10081586.

Use of Whole-Genome Sequencing to Explore Mycobacterium tuberculosis Complex Circulating in a Hotspot Department in France

Affiliations

Use of Whole-Genome Sequencing to Explore Mycobacterium tuberculosis Complex Circulating in a Hotspot Department in France

Typhaine Billard-Pomares et al. Microorganisms. .

Abstract

The Seine-Saint-Denis is the French metropolitan department with the highest incidence of tuberculosis (TB). Our aim was to explore epidemiological and phylogenetic characteristics of TB strains in this hotspot department. We performed WGS on 227 strains of Mycobacterium tuberculosis complex isolated from patients at the Avicenne Hospital from 2016 to 2021 and randomly selected to represent the clinical diversity of French TB localization. Clinical and demographic data were recorded for each TB patient. The mean age of patients was 36 years old. They came from Africa (44%), Asia (27%), Europe (26%) and America (3%). Strains isolated from extrapulmonary samples were associated with Asian patients, whereas strains isolated from pulmonary samples were associated with European patients. We observed a high level of lineage diversity in line with the known worldwide diversity. Interestingly, lineage 3 was associated with lymph node TB. Additionally, the sensitivity of WGS for predicting resistance was 100% for rifampicin, isoniazid and ethambutol and 66.7% for pyrazinamide. The global concordance with drug-susceptibility testing using the phenotypic approach was 97%. In microbiology laboratories, WGS turns out to be an essential tool for better understanding local TB epidemiology, with direct access to circulating lineage identification and to drug susceptibilities to first- and second-line anti-TB drugs.

Keywords: Mycobacterium tuberculosis; hotspot region; lineage diversity; whole-genome sequencing.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Global phylogeny of 227 whole-genome sequenced MTBC strains. The color codes are: pink—lineage 1, blue—lineage 2, purple—lineage 3, red—lineage 4, brown—lineage 5, green—lineage 6, gray—M. bovis lineage. The resistance status is represented for each strain with the following color code: blue—susceptible strains, yellow—strains resistant to one of the first-line drugs, orange—MDR strains (resistance to rifampicin and isoniazid). Only resistances to first-line TB drugs were considered here. MDR: multidrug-resistant.
Figure 2
Figure 2
Global distribution of M. tuberculosis lineages by country of origin amongst the patients included in this study. Each color represents a distinct TB lineage. The symbol of a cross on the map represents the location of the Avicenne Hospital.
Figure 3
Figure 3
Distribution of M. tuberculosis lineages according to the origin of the sample. EP: extrapulmonary. The asterisk correspond to the significative association between the East-African-Indian lineage and lymph node TB.

References

    1. World Health Organization . Global Tuberculosis Report 2019. WHO; Geneva, Switzerland: 2020.
    1. Cole S.T., Brosch R., Parkhill J.A., Garnier T., Churcher C., Harris D.R., Gordon S.V., Eiglmeier K., Gas S., Barry C.E., III, et al. Deciphering the biology of Mycobacterium tuberculosis from the complete genome sequence. Nature. 1998;393:537–544. doi: 10.1038/31159. - DOI - PubMed
    1. Papaventsis D., Casali N., Kontsevaya I., Drobniewski F., Cirillo D., Nikolayevskyy V. Whole genome sequencing of Mycobacterium tuberculosis for detection of drug resistance: A systematic review. Clin. Microbiol. Infect. 2017;23:61–68. doi: 10.1016/j.cmi.2016.09.008. - DOI - PubMed
    1. Coll F., McNerney R., Preston M.D., Guerra-Assunção J.A., Warry A., Hill-Cawthorne G., Mallard K., Nair M., Miranda A., Alves A., et al. Rapid determination of anti-tuberculosis drug resistance from whole-genome sequences. Genome Med. 2015;7:51. doi: 10.1186/s13073-015-0164-0. - DOI - PMC - PubMed
    1. Sánchez-Corrales L., Tovar-Aguirre O.L., Galeano-Vanegas N.F., Jiménez P.A.C., Martínez-Vega R.A., Maldonado-Londoño C.E., Hernández-Botero J.S., Siller-López F. Phylogenomic analysis and Mycobacterium tuberculosis antibiotic resistance prediction by whole-genome sequencing from clinical isolates of Caldas, Colombia. PLoS ONE. 2021;16:e0258402. doi: 10.1371/journal.pone.0258402. - DOI - PMC - PubMed

LinkOut - more resources