Modern identification techniques at the genomic level have greatly improved
the taxonomic knowledge of mycobacteria. In adjunct to nucleic acid sequen
ces, mycobacterial identification has been endorsed by investigation of the
lipidic patterns of unique mycolic acids in such organisms. In the present
investigation, the routine use of high-performance liquid chromatography (
HPLC) of mycolic acids, followed by the sequencing of the 16S rRNA, allowed
us to select 72 mycobacterial strains, out of 1,035 screened, that do not
belong to any of the officially recognized mycobacterial species. Most stra
ins (i.e., 47) were isolated from humans, 13 were from the environment, 3 w
ere from animals, and 9 were from unknown sources. The majority of human is
olates were grown from the respiratory tract and were therefore most likely
not clinically significant. Some, however, were isolated from sterile site
s (blood, pleural biopsy, central venous catheter, or pus). Many isolates,
including several clusters of two or more strains, mostly slow growers and
scotochromogenic, presented unique genetic and lipidic features. We hope th
e data reported here, including the results of major conventional identific
ation tests, the HPLC profiles of strains isolated several times, and the w
hole sequences of the 16S rRNA hypervariable regions of all 72 mycobacteria
, may encourage reporting of new cases. The taxonomy of the genus Mycobacte
rium is, in our opinion, still far from being fully elucidated, and the rep
orting of unusual strains provides the best background for the recognition
of new species. Our report also shows the usefulness of the integration of
novel technology to routine diagnosis, especially in cases involving slow-g
rowing microorganisms such as myrobacteria.