The study identifies mutations in the rrs and rpsL genes associated with resistance to aminoglycosides and capreomycin in Mycobacterium tuberculosis isolates. Additionally, polymorphisms in the gidB gene are linked to low-level streptomycin resistance.

The study identified drug-resistant genes such as katG, inhA, fabG, rpoA, rpoB, rpoC, embA, embB, embC, ethA, gyrA, gyrB, tlyA, and gidB in Mycobacterium tuberculosis strains mnpk and swlpk, indicating resistance to isoniazid, rifampicin, ethambutol, ethionamide, ofloxacin, capreomycin, and streptomycin.

The study identifies 33 known AMR genes and 24 new genetic signatures of AMR in Mycobacterium tuberculosis using machine learning and structural analysis. It also reveals 97 epistatic interactions across 10 resistance classes and provides mechanistic insights into the selection of these genes.

The study identifies multiple AMR genes and mutations associated with ethionamide, streptomycin, isoniazid, ethambutol, pyrazinamide, rifampicin, fluoroquinolones, terizidone, cycloserine, bedaquiline, and clofazimine resistance in Mycobacterium tuberculosis strains.

The study introduces ECAT, a novel method that leverages homoplasy to improve the detection of antibiotic resistance mutations in bacterial genomes. It successfully identifies known resistance mutations and detects secondary genes associated with resistance, such as rpoC for rifampicin resistance.

The study identified several AMR genes and mutations in Mycobacterium tuberculosis using a portable sequencing device, including katG, inhA, rpoB, embB, gidB, pncA, and rpsL, which are associated with resistance to isoniazid, rifampicin, ethambutol, streptomycin, and pyrazinamide.

The study identified several AMR genes in Vibrio scophthalmi strain VSc190401, including those conferring resistance to aminoglycosides, fluoroquinolones, tetracyclines, and polymyxins. Some of these genes were validated experimentally.

The study analyzed 174 Mycobacterium tuberculosis strains to understand drug resistance mechanisms and identify potential drug targets. Key findings include the identification of mutations in rpsL, gidB, pncA, ahpC, embB, and other genes associated with resistance to streptomycin, pyrazinamide, isoniazid, and ethambutol. Additionally, the gene kasA was identified as a potential drug target due to its stability and interaction with host proteins.

The study identifies multiple AMR genes in Mucilaginibacter sp. 21p, including genes for resistance to quinolones, aminoglycosides, beta-lactamases, sulfonamides, tetracyclines, daptomycin, arsenic, zinc, manganese, cobalt, and cadmium. These genes are part of efflux pumps and other resistance mechanisms, indicating the strain's adaptability to metal(loid) and antibiotic stressors in contaminated environments.

The study identifies several genes associated with drug resistance in Mycobacterium tuberculosis, including rpoB, katG, rpsL, embB, gidB, gyrA, ethA, rpoC, Rv1730c, Rv1830, treY, cyp128, and eccCa1, which show evidence of positive selection and are linked to resistance against various antibiotics.

The study identifies various AMR genes and mutations in soil samples, highlighting the active resistome in agricultural and natural soils. Key findings include the detection of genes like gyrA, bcrA, and macB, which confer resistance to antibiotics such as ciprofloxacin and meropenem. The research emphasizes the importance of phenotypic resistance assessment in environmental AMR monitoring.

The study identifies multiple antimicrobial resistance genes in the multidrug-resistant Clostridium perfringens IRMC2505A strain, including NimB, TetB(P), fabV, TetA(P), gidB, FabK-like, and mprF, which confer resistance to tetracycline and defensin-like cationic antimicrobial peptides.

The study identified multiple antibiotic resistance genes in three donkey-derived Streptococcus equi subsp. equi isolates, including genes conferring resistance to beta-lactams, tetracyclines, macrolides, fluoroquinolones, and others. Notably, the HT1112 isolate showed resistance to six antimicrobials, while HTP133 and HTP232 showed resistance to fewer drugs. Additionally, the study highlighted the role of biofilm formation in antimicrobial resistance.

The study presents the draft genome sequence of Candidatus Ornithobacterium hominis, highlighting the presence of multiple antimicrobial resistance genes, including those conferring resistance to sulfonamides, aminoglycosides, fluoroquinolones, and others. Key genes identified include oxyR, gidB, murA, rpoB, gyrA, and others, which were experimentally validated for their resistance mechanisms.

The study developed a deep amplicon sequencing (DAS) panel targeting 941 drug-resistant mutations (DRMs) in 47 genes associated with 20 anti-tuberculosis drugs. The panel demonstrated high accuracy in detecting drug resistance, with results comparable to those of whole-genome sequencing (WGS) and phenotypic drug susceptibility testing (pDST).

The study identifies genes under positive selection in M. tuberculosis clinical isolates, including several known drug-resistance genes such as rpoB, gyrA, gidB, pncA, embB, and ubiA. It highlights the importance of analyzing selection at intermediate scales within genes for accurate identification of resistance-associated genes.