A stop–gain mutation in sigma factor SigH (MAB_3543c) may be associated with tigecycline resistance in Mycobacteroides abscessus

References

1. Nessar R, Cambau E, Reyrat JM, Murray A, Gicquel B. Mycobacterium abscessus: a new antibiotic nightmare. J Antimicrob Chemother 2012810–818
   [Google Scholar]
2. Broda A, Jebbari H, Beaton K, Mitchell S, Drobniewski F. Comparative drug resistance of Mycobacterium abscessus and M. chelonae isolates from patients with and without cystic fibrosis in the United Kingdom. J Clin Microbiol 2013; 51:217–223 [View Article] [PubMed]
   [Google Scholar]
3. Ananta P, Kham-Ngam I, Chetchotisakd P, Chaimanee P, Reechaipichitkul W et al. Analysis of drug-susceptibility patterns and gene sequences associated with clarithromycin and amikacin resistance in serial Mycobacterium abscessus isolates from clinical specimens from Northeast Thailand. PLoS One 2018; 13:e0208053 [View Article] [PubMed]
   [Google Scholar]
4. Ng HF, Tan JL, Zin T, Yap SF, Ngeow YF. A mutation in anti-sigma factor MAB_3542c may be responsible for tigecycline resistance in Mycobacterium abscessus. J Med Microbiol 2018; 67:1676–1681
   [Google Scholar]
5. Song T, Dove SL, Lee KH, Husson RN. RshA, an anti-sigma factor that regulates the activity of the mycobacterial stress response sigma factor SigH. Mol Microbiol 2003; 50:949–959 [View Article] [PubMed]
   [Google Scholar]
6. Ng HF, Ngeow YF, Yap SF, Zin T, Tan JL. Tigecycline resistance may be associated with dysregulated response to stress in Mycobacterium abscessus. Int J Med Microbiol 2020; 310:151380
   [Google Scholar]
7. Woods GL, Brown-Elliott BA, Conville PS, Desmond EP, Hall GS et al. Susceptibility Testing of Mycobacteria, Nocardiae, and Other Aerobic Actinomycetes; Approved Standard, 2nd ed. 2011
   [Google Scholar]
8. EUCAST Testing breakpoint tables for interpretation of mics and zone diameters; 2021 https://www.Eucast.Org/Ast_of_Bacteria accessed 05 July 2021
9. Xie F, Xiao P, Chen D, Xu L, Zhang B. miRDeepFinder: a miRNA analysis tool for deep sequencing of plant small RNAs. Plant Mol Biol 2012; 80:75–84
   [Google Scholar]
10. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 2001; 25:402–408 [View Article] [PubMed]
    [Google Scholar]
11. Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 2014; 30:2114–2120 [View Article] [PubMed]
    [Google Scholar]
12. Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Methods 2012; 9:357–359 [View Article] [PubMed]
    [Google Scholar]
13. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics 2009; 25:2078–2079 [View Article] [PubMed]
    [Google Scholar]
14. Stover CK, de la Cruz VF, Fuerst TR, Burlein JE, Benson LA et al. New use of BCG for recombinant vaccines. Nature 1991; 351:456–460 [View Article] [PubMed]
    [Google Scholar]
15. Ng HF. Selection and characterization of a tigecycline-resistant mutant of Mycobacterium abscessus to identify possible resistance determinants Faculty of Medicine and Health Sciences Universiti Tunku Abdul Rahman: 2019
    [Google Scholar]