Mem Inst Oswaldo Cruz, Rio de Janeiro, VOLUME 120 | 2025
Research Articles

First isolation of Mycobacterium brisbanense from humans in the Americas

Carlos Eduardo Dias Campos, Rachel dos Santos de Sena Vasconcelos, William Marco Vicente da Silva, Luciana Distásio de Carvalho, Melissa de Almeida Barbosa Eccard, Isabelle Pinheiro Nobre dos Santos, Jesus Pais Ramos+

Fundação Oswaldo Cruz-Fiocruz, Escola Nacional de Saúde Pública, Centro de Referência Professor Hélio Fraga, Laboratório de Referência Nacional de Tuberculose e Micobacterioses, Rio de Janeiro, RJ, Brasil

DOI: 10.1590/0074-02760250063
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ABSTRACT

BACKGROUND Mycobacterium brisbanense is a rare nontuberculous mycobacteria and was for the first time detected in the Americas in humans. However, this, like several other species of mycobacteria, may be underreported worldwide. Therefore, their study is increasingly important.
OBJECTIVES The aim of this article is to report and analyse the first seven human isolates of M. brisbanense in the Americas, derived from six Brazilian patients.
METHODS We sequenced the genes hsp65, rpoB and 16s rRNA, of seven mycobacterial clinical isolates, constructed a phylogenetic tree, and determined their drug susceptibility profile.
FINDINGS The regions sequenced were highly similar between the M. brisbanense type strain and the Brazilian strains. Similarly, their susceptibility profiles were similar to that of M. brisbanense type strain, except for two antibiotics tested, cefoxitin and doxycycline.
MAIN CONCLUSIONS All studied strains were identified at the species level by a concatenated tree as M. brisbanense.

Currently, the genus Mycobacterium comprises 206 officially described species, which are either strictly pathogenic or opportunistic (https://www.bacterio.net/genus/mycobacterium). Excluding Mycobacterium leprae and those species classified in the Mycobacterium tuberculosis complex, nontuberculous mycobacteria (NTM) are classified into rapidly growing mycobacteria (RGM) and slowly growing mycobacteria (SGM) based on their growth rate on culture media. RGM forms visible colonies until seven days, whereas SGM requires more than seven days.(1)

Mycobacterium fortuitum was described in Brazil by Costa Cruz in 1938,(2) isolated from a skin abscess in a patient after receiving subcutaneous injections of a vitamin preparation. This species was initially classified in two biovars, M. fortuitum bv. fortuitum and M. fortuitum bv. peregrinum.(3) Wallace et al.(4) studied a group of clinical strains of M. fortuitum and designated them as a M. fortuitum third biovariant complex. In 2004, Schinsky et al.(5) named members of this complex as distinct species: M. boenickei, M. houstonense, M. neworleansense, and M. brisbanense.

Mycobacterium brisbanense can cause respiratory infections, soft tissue infections, bacteraemia, and disseminated disease.(6, 7) This species was isolated from an astral sinus in Australia.(5) Five years later, again in Australia, a strain was isolated from herbicide-exposed soil.(8) This organism was also detected in two patients with pulmonary infection: a 62-year-old and a 70-year-old, both from Malaysia.(7, 9) The first European case of lung infection in a 28-year-old patient with asthma was reported in Denmark.(6) M. brisbanense may causemycobacteriosis in animals, and strains were isolated from fish.(10) M. brisbanense was also identified in Brazil from surface water samples collected from a zoological park.(11)

According to Schinsky et al.,(5) based on the phylogenetic tree constructed with 16S rRNA gene sequences, the species most closely related to M. brisbanense is M. diernhoferi. In contrast, Shahraki et al.(12) later described M. aquaticum based on five Iranian isolates, which exhibited the highest 16S rRNA gene sequence similarity to M. brisbanense.

Reports of rare or uncommon species have become increasingly frequent, so health professionals must be attentive to their diagnosis. To our knowledge, this is the first report of M. brisbanense human infection in a country on the American continent.

 

SUBJECTS AND METHODS

 

This work includes seven strains isolated from six patients, sent to the National Reference Laboratory for Tuberculosis and Mycobacteriosis, CRPHF/ENSP/FIOCRUZ for identification at the species level between 2009 and 2023. Of these samples, four had pulmonary origin, two were from a surgical site, and one strain had unreported clinical material (Table I).

 

table01

 

Sequencing - The partial 16S rRNA, rpoB, and hsp65 genes were amplified as described respectively by Hall et al., Adékambi et al., and Telenti et al.(13, 14, 15) Nucleotide sequences obtained were used in BLAST(16) searches to identify similar sequences. For the analyses of the 16S rRNA, rpoB and hsp65 genes, we considered the cut-off values of ≥ 97, ≥ 98.3, and ≥ 99% respectively, for species identification.(14, 17, 18)

 

Phylogenetic analysis - The sequences were also used as input for building a concatenated phylogeny tree(19) with the neighbour-joining method with MEGA (version 11).(20) Node support in the neighbour-joining tree was assessed using 1 000 bootstrap replicates. Bootstrap values above 70% were considered indicative of well-supported branches.(21) M. tuberculosis was used as an outgroup.

 

Susceptibility tests - Drugs susceptibility tests were performed according to Clinical and Laboratory Standards Institute (CLSI).(22, 23) The minimum inhibitory concentrations (MICs) were determined as lowest concentration of the drug that inhibited the visible growth of the isolates. The strains were grown in Lowenstein Jensen media for seven days, and colonies were diluted in water and adjusted to 0.5 McFarland standard. The microdilution assays were carried out with RAPMYCOI commercial plates (Thermo Scientific, Kansas, USA), which contain lyophilised antibiotics. They were prepared according to the manufacturer’s instructions for determination of MIC.

Plates were incubated for three to five days at 30ºC, and readings were taken using the Sensititre Vizion equipment. Drug susceptibility testing (DST) was performed for ten drugs according to CLSI,(23) trimethoprim/Sulfamethoxazole, ciprofloxacin, moxifloxacin, cefoxitin, amikacin, doxycycline, tigecycline, clarithromycin, linezolid, imipenem, minocycline and tobramycin. The final reading for clarithromycin susceptible isolates was at 14th day to detect inducible resistance.

 

Ethics - This study was submitted to ethics committee of ENSP/FIOCRUZ (number 7.283.236). The ethics committee considered that this study should not be included as research involving human beings and, therefore, does not need to be evaluated by the CEP/Conep System.

 

RESULTS

 

Table II shows accession numbers of type strains retrieved from GenBank and the accession numbers of sequences produced and deposited by this study.

The basic local alignment search tool (BLAST) search showed that the hsp65 441-bp fragment of the seven strains is 100% identical to the M. brisbanense type strain or have only one mismatch with 99.75% of identity. The nearly complete 16S rRNA gene of the strains exhibited identity varying from 99.25% to 99.75%. The rpoB gene showed the greatest variation, ranging from 98.33% to 99.72%.

Phylogenetic analyses were performed on an approximately 2,380 bp fragment comprising partial 16S rRNA, rpoB, and hsp65 sequences. The concatenated phylogenetic tree revealed that the strains tested clustered to the type strain of M. brisbanense, but are distinct from or all other sequences of type strains.

 

table02

 

The seven strains were susceptible to amikacin, clarithromycin, linezolid and moxifloxacin. The DST profiles for ciprofloxacin, imipenem and trimethoprim/sulfamethoxazole varied, with susceptibility of 71%, 57% and 86%, respectively. Of the seven strains, six (86%) were resistant to doxycycline and tobramycin, while four (57%) were resistant to cefoxitin. The antimicrobial susceptibility profiles of the seven strains are presented in Table III.

 

table03

 

DISCUSSION

 

We evaluated the antimycobacterial activity of 12 antibiotics against seven clinical isolates identified as M. brisbanense, in accordance with CLSI guidelines.(23) Currently, data regarding the drug susceptibility profile of M. brisbanense remain limited, and this investigation constitutes the largest evaluation to date of clinical isolates of the species.

Our findings are consistent with those of Schinsky et al.,(5) showing a high resistance rate to doxycycline and high susceptibility rates to amikacin, ciprofloxacin, and trimethoprim-sulfamethoxazole. Similarly, Poh et al.(7) reported comparable results, with three isolates obtained from a single patient exhibiting susceptibility to amikacin, clarithromycin, and linezolid.

Consistent with the findings from our seven strains, Pang et al.(24) reported similar susceptibility profiles for the reference strain M. brisbanense DSM 44680, which exhibited resistance to tobramycin and susceptibility to amikacin, clarithromycin, linezolid, and moxifloxacin. However, in contrast to our results, the reference strain demonstrated susceptibility to doxycycline.

Interestingly, the results obtained by Schinsky et al.(5) and Pang et al.,(24) mentioned above, differed in terms of susceptibility to doxycycline. Given that both studies used the same type strain, a similar susceptibility pattern would be expected. This discrepancy may be attributed to methodological differences in susceptibility testing. According to CLSI,(22) microdilution assays, even when performed under standardized conditions, are subject to inherent variability, and identical breakpoints may not consistently yield reproducible results. Acceptable reproducibility is generally defined as a variation within one twofold dilution.

There are few data available in general on M. brisbanense, including those based on molecular biology, but our results were similar to those obtained by Mugetti et al.(10) who showed 99.51% hsp65 gene identity of four isolates with the type strain of M. brisbanense. The sequencing of the hsp65, rpoB and 16S rRNA genes showed that all the isolates were within the cut-off established for the species level. Thus, all the identifications obtained by sequencing were considered valid.

As our seven strains and M. brisbanense type strain were included in a single clade with a high bootstrap value of 91, without including any other taxon, a monophyletic group was formed. Strains HF252010 and HF421578803 were the most distinct but still in the same clade of the type strain. The concatenated tree showed that M. diernhoferi type strain is not so close to M. brisbanense, as mentioned by Schinsky et al.(5) This tree also shows the close relationship of M. brisbanense with M. aquaticum which corroborates the results obtained by Shahraki et al.(12) (Figure). Phylogenetic and sequencing analysis confirmed that the seven isolates belong to the M. brisbanense species.

The number of diseases caused by NTM has been increasing worldwide. The most common NTM pathogens are M. avium complex, M. kansasii, M. xenopi and M. abscessus group, however other less frequent NTMs are of concern worldwide.(25) Our results expand the possibility of new cases of M. brisbanense disease outside Europe/Asia/Oceania to countries of the American continent, such as Brazil.

 

fig01

 

ACKNOWLEDGEMENTS

 

To Sanger sequencing platform (P01-001), FIOCRUZ Technological Platform Network, and Teca Calcagno Galvão to made the English language revision.

 

AUTHORS’ CONTRIBUTION

 

CEDC, WMVS, LDC and JPR conceived and designed the experiments; MABE, RSSV and IPNS performed the experiments; CEDC, WMVS, RSSV, LDC and JPR analysed the data and wrote the manuscript. All authors revised the manuscript intensively and approved its final version.

REFERENCES
01. Kim CJ, Kim NH, Song KH, Choe PG, Kim ES, Park SW, et al. Differentiating rapid- and slow-growing mycobacteria by difference in time to growth detection in liquid media. Diagn Microbiol Infect Dis. 2013; 75(1): 73-6. https://doi.org/10.1016/j. diagmicrobio.2012.09.019.
02. Cruz JDC. Mycobacterium fortuitum um novo bacillo acidoresistance pathogenico para o homen. Acta Medica. 1938; 1: 297-301.
03. Brown-Elliott BA, Philley JV. Rapidly growing mycobacteria. Microbiol Spectr. 2017; 5(1): TNMI7-0027-2016. https://doi. org/10.1128/microbiolspec.TNMI7-0027-2016.
04. Wallace RJ, Brown BA, Silcox VA, Tsukamura M, Nash DR, Steele LC, et al. Clinical disease, drug susceptibility, and biochemical patterns of the unnamed third biovariant complex of Mycobacterium fortuitum. J Infect Dis. 1991; 163(3): 598-03. https:// doi.org/10.1093/infdis/163.3.598.
05. Schinsky MF, Morey RE, Steigerwalt AG, Douglas MP, Wilson RW, Floyd MM, et al. Taxonomic variation in the Mycobacterium fortuitum third biovariant complex: description of Mycobacterium boenickei sp. nov., Mycobacterium houstonense sp. nov., Mycobacterium neworleansense sp. nov. and Mycobacterium brisbanense sp. nov. and recognition of Mycobacterium porcinum from human clinical isolates. Int J Syst Evol Microbiol. 2004; 54(5): 1653-57. https://doi.org/10.1099/ijs.0.02743-0.
06. Gynthersen R, Qvist T, Andersen AB, Katzenstein TL. Mycobacterium brisbanense lung infection facilitated by steroid induced adrenal insufficiency. APMIS. 2018; 127(2): 106-08. https://doi. org/10.1111/apm.12911.
07. Poh ME, Liam CK, Ng KP, Tan R. Mycobacterium brisbanense species nova isolated from a patient with chronic cavitary lung infection. Chest. 2014; 145(4): 858-60. https://doi.org/10.1378/ chest.13-1952.
08. Khurana JL, Jackson CJ, Scott C, Pandey G, Horne I, Russell RJ, et al. Characterization of the phenylurea hydrolases A and B: founding members of a novel amidohydrolase subgroup. Biochem J. 2009; 418(2): 431-41. https://doi.org/10.1042/BJ20081488.
09. Wee WY, Tan TK, Jakubovics NS, Choo SW. Whole-genome sequencing and comparative analysis of Mycobacterium brisbanense reveals a possible soil origin and capability in fertiliser synthesis. PLoS One. 2016; 11(3): e0152682. https://doi.org/10.1371/ journal.pone.0152682.
10. Mugetti D, Tomasoni M, Pastorino P, Esposito G, Menconi V, Dondo A, et al. Gene sequencing and phylogenetic analysis: powerful tools for an improved diagnosis of fish mycobacteriosis caused by Mycobacterium fortuitum group members. Microorganisms. 2021; 9(4): 797-08. https://doi.org/10.3390/microorganisms9040797.
11. Romagnoli CL, Pellegrino KCM, Silva NM, Brianesi UA, Leão SC, Rabello MCS, et al. Diversity of Mycobacteriaceae from aquatic environment at the São Paulo Zoological Park Foundation in Brazil. PLoS One. 2020; 15(1): e0227759. https://doi. org/10.1371/journal.pone.0227759.
12. Shahraki HA, Trovato A, Droz S, Haidarieh P, Borroni E, Mirsaeidi M, et al. Mycobacterium aquaticum sp. nov., a rapidly growing species isolated from haemodialysis water. Int J Syst Evol Microbiol. 2017; 67(9): 3279-82. https://doi.org/10.1099/ijsem.0.002103.
13. Hall L, Doerr KA, Wohlfiel SL, Roberts GD. Evaluation of the MicroSeq system for identification of mycobacteria by 16S ribosomal DNA sequencing and its integration into a routine clinical mycobacteriology laboratory. J Clin Microbiol. 2003; 41(4): 1447- 53. https://doi.org/10.1128/JCM.41.4.1447-1453.2003.
14. Adékambi T, Colson P, Drancourt M. RpoB-based identification of nonpigmented and late-pigmenting rapidly growing mycobacteria. J Clin Microbiol. 2003; 41(12): 5699-708. https://doi. org/10.1128/JCM.41.12.5699-5708.2003.
15. Telenti A, Marchesi F, Balz M, Bally F, Böttger EC, Bodmer T. Rapid identification of mycobacteria to the species level by polymerase chain reaction and restriction enzyme analysis. J Clin Microbiol. 1993; 31(2): 175-8. https://doi.org/10.1128/jcm.31.2.175-178.1993.
16. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990; 215(3): 403-10. https://doi. org/10.1016/S0022-2836(05)80360-2.
17. McNabb A, Eisler D, Adie K, Amos M, Rodrigues M, Stephens G, et al. Assessment of partial sequencing of the 65-kilodalton heat shock protein gene (hsp65) for routine identification of Mycobacterium species isolated from clinical sources. J Clin Microbiol. 2004; 42(7): 3000-11. https://doi.org/10.1128/JCM.42.7.3000-3011.2004.
18. Tortoli E. Standard operating procedure for optimal identification of mycobacteria using 16S rRNA gene sequences. Stand Genomic Sci. 2010; 3(2): 145-52. https://doi.org/10.4056/sigs.932152.
19. Devulder G, Pérouse-de-Montclos M, Flandrois JP. A multigene approach to phylogenetic analysis using the genus Mycobacterium as a model. Int J Syst Evol Microbiol. 2005; 55(Pt 1): 293-02. https://doi.org/10.1099/ijs.0.63222-0.
20. Tamura K, Stecher G, Kumar S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021; 38(7): 3022-7. https://doi.org/10.1093/molbev/msab120.
21. Hillis DM, Bull JJ. An empirical test of bootstrapping as a method for assessing confidence in phylogenetic analysis. Syst Biol. 1993; 42(2): 182-92. https://doi.org/10.1093/sysbio/42.2.182.
22. CLSI - Clinical and Laboratory Standards Institute. Susceptibility testing of Mycobacteria, Nocardiae, and other aerobic actinomycetes. 2nd ed. Wayne: 2011.
23. CLSI - Clinical and Laboratory Standards Institute. Performance standards for susceptibility testing of Mycobacteria, Nocardia spp., and other aerobic actinomycetes. 1st ed. Wayne: 2018.
24. Pang H, Li G, Wan L, Jiang Y, Liu H, Zhao X, et al. In vitro drug susceptibility of 40 international reference rapidly growing mycobacteria to 20 antimicrobial agents. Int J Clin Exp Med. 2015; 8(9): 15423-31. www.ijcem.com/ISSN: 1940-5901/IJCEM0009773.
25. Prevots DR, Marshall JE, Wagner D, Morimoto K. Global epidemiology of nontuberculous mycobacterial pulmonary disease: a review. Clin Chest Med. 2023; 44(4): 675-721. https://doi. org/10.1016/j.ccm.2023.08.012.

+ Corresponding author: jesus.ramos@fiocruz.br
ORCID https://orcid.org/0000-0002-4183-5915
Received 25 March 2025
Accepted 25 August 2025

HOW TO CITE
Campos CED, Vasconcelos RSS, da Silva WMV, de Carvalho LD, Eccard MAB, dos Santos IPN, et al. First isolation of Mycobacterium brisbanense from humans in the Americas. Mem Inst Oswaldo Cruz. 2025; 120: e250063.

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