Mycobacterium abscessus, a taxonomic puzzle
Author(s) -
Enrico Tortoli,
Thomas A. Kohl,
Barbara A. BrownElliott,
Alberto Trovato,
Sylvia Cardoso Leão,
María Jesús García García,
Sruthi Vasireddy,
Christine Y. Turenne,
David E. Griffith,
Julie V. Philley,
Stefan Niemann,
Richard J. Wallace,
Daniela María Cirillo
Publication year - 2017
Publication title -
international journal of systematic and evolutionary microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.925
H-Index - 173
eISSN - 1466-5034
pISSN - 1466-5026
DOI - 10.1099/ijsem.0.002457
Subject(s) - biology , mycobacterium abscessus , principal (computer security) , clinical microbiology , microbiology and biotechnology , mycobacterium , bacteria , genetics , computer science , operating system
Adekambi et al. questioned our data produced, performing the wet lab DDH test with five replicates [11]. Instead they proposed results (Table 2 of [10]) inferred from rpoB similarity using the above mentioned formula. In our view, it is not valid to replace a complex assay that takes into account the whole genome (which is still considered the gold standard), with a formula based on just a single gene. Bioinformatic algorithms are available and validated in multiple studies, which can be used to infer the DDH from genomic data. The best known, in addition to Average Nucleotide Identity (ANI) [12], are the Genome to Genome Distance (GGD) [13, 14] and the Genomic Signature-Delta Difference (GS-DD) [15].
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