Murray, C. J. L. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629\u2013655 (2022).<\/p>\n
Article<\/a>\u00a0 Shepherd, M. J. et al. Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance. Nat. Rev. Microbiol. 22, 650\u2013665 (2024).<\/p>\n Article<\/a>\u00a0 Mwangi, M. M. et al. Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole-genome sequencing. Proc. Natl Acad. Sci. USA 104, 9451\u20139456 (2007).<\/p>\n Article<\/a>\u00a0 Rossi, E. et al. Pseudomonas aeruginosa adaptation and evolution in patients with cystic fibrosis. Nat. Rev. Microbiol. 19, 331\u2013342 (2021).<\/p>\n Article<\/a>\u00a0 Smith, E. E. et al. Genetic adaptation by Pseudomonas aeruginosa to the airways of cystic fibrosis patients. Proc. Natl Acad. Sci. USA 103, 8487\u20138492 (2006).<\/p>\n Article<\/a>\u00a0 Qin, X. et al. Heterogeneous antimicrobial susceptibility characteristics in Pseudomonas aeruginosa isolates from cystic fibrosis patients. mSphere https:\/\/doi.org\/10.1128\/msphere.00615-17<\/a> (2018).<\/p>\n Lechtzin, N. et al. Outcomes of adults with cystic fibrosis infected with antibiotic-resistant Pseudomonas aeruginosa. Respiration 73, 27\u201333 (2006).<\/p>\n Article<\/a>\u00a0 Diaz Caballero, J. et al. Selective sweeps and parallel pathoadaptation drive Pseudomonas aeruginosa evolution in the cystic fibrosis lung. mBio 6, e00981-15 (2015).<\/p>\n Article<\/a>\u00a0 Nikaido, H. Molecular basis of bacterial outer membrane permeability revisited. Microbiol. Mol. Biol. Rev. 67, 593\u2013656 (2003).<\/p>\n Article<\/a>\u00a0 Andersson, D. I. & Hughes, D. Antibiotic resistance and its cost: is it possible to reverse resistance? Nat. Rev. Microbiol. 8, 260\u2013271 (2010).<\/p>\n Article<\/a>\u00a0 Bj\u00f6rkman, J., Nagaev, I., Berg, O. G., Hughes, D. & Andersson, D. I. Effects of environment on compensatory mutations to ameliorate costs of antibiotic resistance. Science 287, 1479\u20131482 (2000).<\/p>\n Article<\/a>\u00a0 Woodford, N. & Ellington, M. J. The emergence of antibiotic resistance by mutation. Clin. Microbiol. Infect. 13, 5\u201318 (2007).<\/p>\n Article<\/a>\u00a0 Wistrand-Yuen, E. et al. Evolution of high-level resistance during low-level antibiotic exposure. Nat. Commun. 9, 1599 (2018).<\/p>\n Article<\/a>\u00a0 Performance Standards for Antimicrobial Susceptibility Testing. CLSI Supplement M100: Clinical and Laboratory Standards Institute (CLSI, 2023).<\/p>\n Ramsey, B. W. et al. Intermittent administration of inhaled tobramycin in patients with cystic fibrosis. N. Engl. J. Med. 340, 23\u201330 (1999).<\/p>\n Article<\/a>\u00a0 L\u00f3pez-Causap\u00e9, C., Rubio, R., Cabot, G. & Oliver, A. Evolution of the Pseudomonas aeruginosa aminoglycoside mutational resistome in vitro and in the cystic fibrosis setting. Antimicrob. Agents Chemother. 62, e02583\u201317 (2018).<\/p>\n Article<\/a>\u00a0 Bolard, A., Pl\u00e9siat, P. & Jeannot, K. Mutations in gene fusA1 as a novel mechanism of aminoglycoside resistance in clinical strains of Pseudomonas aeruginosa. Antimicrob. Agents Chemother. https:\/\/doi.org\/10.1128\/aac.01835-17<\/a> (2018).<\/p>\n Schniederjans, M., Koska, M. & H\u00e4ussler, S. Transcriptional and mutational profiling of an aminoglycoside-resistant Pseudomonas aeruginosa small-colony variant. Antimicrob. Agents Chemother. 61, e01178\u201317 (2017).<\/p>\n Article<\/a>\u00a0 Gu\u00e9nard, S. et al. Multiple mutations lead to MexXY-OprM-dependent aminoglycoside resistance in clinical strains of Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 58, 221\u2013228 (2014).<\/p>\n Article<\/a>\u00a0 Hernando-Amado, S., Sanz-Garc\u00eda, F. & Mart\u00ednez, J. L. Rapid and robust evolution of collateral sensitivity in Pseudomonas aeruginosa antibiotic-resistant mutants. Sci. Adv. 6, eaba5493 (2020).<\/p>\n Article<\/a>\u00a0 Wardell, S. J. T. et al. A large-scale whole-genome comparison shows that experimental evolution in response to antibiotics predicts changes in naturally evolved clinical Pseudomonas aeruginosa. Antimicrob. Agents Chemother. 63, e01619-19 (2019).<\/p>\n Article<\/a>\u00a0 Middleton, P. G. et al. Elexacaftor\u2013tezacaftor\u2013ivacaftor for cystic fibrosis with a single Phe508del allele. N. Engl. J. Med. 381, 1809\u20131819 (2019).<\/p>\n Article<\/a>\u00a0 Nichols, D. P. et al. Pharmacologic improvement of CFTR function rapidly decreases sputum pathogen density, but lung infections generally persist. J. Clin. Invest. 133, e167957 (2023).<\/p>\n Article<\/a>\u00a0 Unterholzner, S. J., Poppenberger, B. & Rozhon, W. Toxin\u2013antitoxin systems: biology, identification, and application. Mob. Genet. Elements 3, e26219 (2013).<\/p>\n Article<\/a>\u00a0 Bochner, B. R., Gadzinski, P. & Panomitros, E. Phenotype microarrays for high-throughput phenotypic testing and assay of gene function. Genome Res. 11, 1246\u20131255 (2001).<\/p>\n Article<\/a>\u00a0 Siguier, P., Perochon, J., Lestrade, L., Mahillon, J. & Chandler, M. ISfinder: the reference centre for bacterial insertion sequences. Nucleic Acids Res. 34, D32\u2013D36 (2006).<\/p>\n Article<\/a>\u00a0 Nicolas, E. et al. The Tn3-family of replicative transposons. Microbiol. Spectr. https:\/\/doi.org\/10.1128\/microbiolspec.mdna3-0060-2014<\/a> (2015).<\/p>\n Chiou, C. S. & Jones, A. L. Nucleotide sequence analysis of a transposon (Tn5393) carrying streptomycin resistance genes in Erwinia amylovora and other Gram-negative bacteria. J. Bacteriol. 175, 732\u2013740 (1993).<\/p>\n Article<\/a>\u00a0 Shaw, K. J., Rather, P. N., Hare, R. S. & Miller, G. H. Molecular genetics of aminoglycoside resistance genes and familial relationships of the aminoglycoside-modifying enzymes. Microbiol. Rev. 57, 138\u2013163 (1993).<\/p>\n Article<\/a>\u00a0 Lund, D. et al. Extensive screening reveals previously undiscovered aminoglycoside resistance genes in human pathogens. Commun. Biol. 6, 812 (2023).<\/p>\n Article<\/a>\u00a0 Alcock, B. P. et al. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database. Nucleic Acids Res. 51, D690\u2013D699 (2022).<\/p>\n Article<\/a>\u00a0 Florensa, A. F., Kaas, R. S., Clausen, P. T. L. C., Aytan-Aktug, D. & Aarestrup, F. M. ResFinder \u2013 an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes. Microb. Genom. 8, 000748 (2022).<\/p>\n PubMed<\/a>\u00a0 Weimann, A. et al. Evolution and host-specific adaptation of Pseudomonas aeruginosa. Science 385, eadi0908 (2024).<\/p>\n Article<\/a>\u00a0 Ebmeyer, S., Kristiansson, E. & Larsson, D. G. J. A framework for identifying the recent origins of mobile antibiotic resistance genes. Commun. Biol. 4, 8 (2021).<\/p>\n Article<\/a>\u00a0 Song, D., Chen, X. & Xu, M. Characteristics and functional analysis of the secondary chromosome and plasmids in sphingomonad. Int. Biodeterior. Biodegrad. 171, 105402 (2022).<\/p>\n Article<\/a>\u00a0 Partridge, S. R., Kwong, S. M., Firth, N. & Jensen, S. O. Mobile genetic elements associated with antimicrobial resistance. Clin. Microbiol. Rev. https:\/\/doi.org\/10.1128\/cmr.00088-17<\/a> (2018).<\/p>\n Gogarten, J. P. & Townsend, J. P. Horizontal gene transfer, genome innovation and evolution. Nat. Rev. Microbiol. 3, 679\u2013687 (2005).<\/p>\n Article<\/a>\u00a0 Le\u00f3n-Sampedro, R. et al. Pervasive transmission of a carbapenem resistance plasmid in the gut microbiota of hospitalized patients. Nat. Microbiol. 6, 606\u2013616 (2021).<\/p>\n Article<\/a>\u00a0 Cl\u00e9ment, M. et al. First clinical case of in vivo acquisition of DHA-1 plasmid-mediated AmpC in a Salmonella enterica subsp. enterica isolate. Antimicrob. Agents and Chemother. https:\/\/doi.org\/10.1128\/aac.00992-19<\/a> (2019).<\/p>\n Bielli, A. et al. In vivo acquisition and risk of inter-species spread of blaKPC-3-plasmid from Klebsiella pneumoniae to Serratia marcescens in the lower respiratory tract. J. Med. Microbiol. 69, 82\u201386 (2020).<\/p>\n Article<\/a>\u00a0 Goren, M. G. et al. Transfer of carbapenem-resistant plasmid from Klebsiella pneumoniae ST258 to Escherichia coli in patient. Emerg. Infect. Dis. 16, 1014\u20131017 (2010).<\/p>\n Article<\/a>\u00a0 Aires-de-Sousa, M. et al. Occurrence of NDM-1-producing Morganella morganii and Proteus mirabilis in a single patient in Portugal: probable in vivo transfer by conjugation. J. Antimicrob. Chemother. 75, 903\u2013906 (2020).<\/p>\n Article<\/a>\u00a0 Tijet, N. et al. Lateral dissemination and inter-patient transmission of blaKPC-3: role of a conjugative plasmid in spreading carbapenem resistance. J. Antimicrob. Chemother. 71, 344\u2013347 (2016).<\/p>\n Article<\/a>\u00a0 Fernandez, J. E. et al. Intra- and interspecies spread of a novel conjugative multidrug resistance IncC plasmid coharboring blaOXA-181 and armA in a cystic fibrosis patient. Microbiol. Spectr. 10, e03121-22 (2022).<\/p>\n Article<\/a>\u00a0 Sidjabat, H. E. et al. Interspecies spread of Klebsiella pneumoniae carbapenemase gene in a single patient. Clin. Infect. Dis. 49, 1736\u20131738 (2009).<\/p>\n Article<\/a>\u00a0 Bartosik, D. et al. Transposable modules generated by a single copy of insertion sequence ISPme1 and their influence on structure and evolution of natural plasmids of Paracoccus methylutens DM12. J. Bacteriol. 190, 3306\u20133313 (2008).<\/p>\n Article<\/a>\u00a0 Moore, J. E., McCaughan, J., Rendall, J. C. & Millar, B. C. The microbiology of non-aeruginosa Pseudomonas isolated from adults with cystic fibrosis: criteria to help determine the clinical significance of non-aeruginosa Pseudomonas in CF lung pathology. Br. J. Biomed. Sci. 79, 10468 (2022).<\/p>\n Article<\/a>\u00a0 Ye, H. et al. Diversified mcr-1-harbouring plasmid reservoirs confer resistance to colistin in human gut microbiota. mBio 7, e00177 (2016).<\/p>\n Article<\/a>\u00a0 von Wintersdorff, C. J. H. et al. Dissemination of antimicrobial resistance in microbial ecosystems through horizontal gene transfer. Front. Microbiol. 7, 173 (2016).<\/p>\n Moellering, R. C. NDM-1\u2014a cause for worldwide concern. N. Engl. J. Med. 363, 2377\u20132379 (2010).<\/p>\n Article<\/a>\u00a0 Plattner, M. et al. Genotypic and phenotypic analyses of aac(3) aminoglycoside-resistance gene diversity point to three distinct phenotypes of contemporary clinical relevance. J. Glob. Antimicrob. Resist. 29, 534\u2013536 (2022).<\/p>\n Article<\/a>\u00a0 Yang, J., Roy, A. & Zhang, Y. Protein\u2013ligand binding site recognition using complementary binding-specific substructure comparison and sequence profile alignment. Bioinformatics 29, 2588\u20132595 (2013).<\/p>\n Article<\/a>\u00a0 Hall, J. P. J. et al. Plasmid fitness costs are caused by specific genetic conflicts enabling resolution by compensatory mutation. PLoS Biol. 19, e3001225 (2021).<\/p>\n Article<\/a>\u00a0 Rajer, F. & Sandegren, L. The role of antibiotic resistance genes in the fitness cost of multiresistance plasmids. mBio 13, e0355221 (2022).<\/p>\n Article<\/a>\u00a0 San Millan, A. & MacLean, R. C. Fitness costs of plasmids: a limit to plasmid transmission. Microbiol. Spectr. https:\/\/doi.org\/10.1128\/microbiolspec.mtbp-0016-2017<\/a> (2017).<\/p>\n Woodcroft, B. J. et al. Comprehensive taxonomic identification of microbial species in metagenomic data using SingleM and Sandpiper. Nat. Biotechnol. https:\/\/doi.org\/10.1038\/s41587-025-02738-1<\/a> (2025).<\/p>\n S\u00f8borg, D. A., Hendriksen, N. B., Kilian, M. & Kroer, N. Widespread occurrence of bacterial human virulence determinants in soil and freshwater environments. Appl. Environ. Microbiol. 79, 5488\u20135497 (2013).<\/p>\n Article<\/a>\u00a0 Morgan, S. J. et al. Elexacaftor\/tezacaftor\/ivacaftor\u2019s effects on cystic fibrosis infections are maintained, but not increased, after 3.5 years of treatment. J. Clin. Invest. 134, e184171 (2024).<\/p>\n Article<\/a>\u00a0 Lee, S., Gallagher, L. & Manoil, C. Reconstructing a wild-type Pseudomonas aeruginosa reference strain PAO1. J. Bacteriol. 203, e00179\u201321 (2021).<\/p>\n Article<\/a>\u00a0 Oliver, A., Cant\u00f3n, R., Campo, P., Baquero, F. & Bl\u00e1zquez, J. High frequency of hypermutable Pseudomonas aeruginosa in cystic fibrosis lung infection. Science 288, 1251\u20131254 (2000).<\/p>\n Article<\/a>\u00a0 Prjibelski, A., Antipov, D., Meleshko, D., Lapidus, A. & Korobeynikov, A. Using SPAdes de novo assembler. Curr. Protoc. Bioinform. 70, e102 (2020).<\/p>\n Article<\/a>\u00a0 Wick, R. R. et al. Trycycler: consensus long-read assemblies for bacterial genomes. Genome Biol. 22, 266 (2021).<\/p>\n Article<\/a>\u00a0 Schwengers, O. et al. Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification. Microb. Genom. 7, 000685 (2021).<\/p>\n CAS<\/a>\u00a0 Wood, D. E., Lu, J. & Langmead, B. Improved metagenomic analysis with Kraken 2. Genome Biol. 20, 257 (2019).<\/p>\n Article<\/a>\u00a0 Jolley, K. A., Bray, J. E. & Maiden, M. C. J. Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications. Wellcome Open Res. 3, 124 (2018).<\/p>\n Article<\/a>\u00a0 Vasimuddin, Md., Misra, S., Li, H. & Aluru, S. Efficient architecture-aware acceleration of BWA-MEM for multicore systems. In 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 314\u2013324 (IEEE, 2019).<\/p>\n Wilm, A. et al. LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets. Nucleic Acids Res. 40, 11189\u201311201 (2012).<\/p>\n Article<\/a>\u00a0 Robertson, J. & Nash, J. H. E. MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies. Microb. Genom. 4, e000206 (2018).<\/p>\n PubMed<\/a>\u00a0 Li, X. et al. oriTfinder: a web-based tool for the identification of origin of transfers in DNA sequences of bacterial mobile genetic elements. Nucleic Acids Res. 46, W229\u2013W234 (2018).<\/p>\n Article<\/a>\u00a0 Guan, J. et al. TADB 3.0: an updated database of bacterial toxin\u2013antitoxin loci and associated mobile genetic elements. Nucleic Acids Res. 52, D784\u2013D790 (2024).<\/p>\n Article<\/a>\u00a0 Minh, B. Q. et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol. Biol. Evol. 37, 1530\u20131534 (2020).<\/p>\n Article<\/a>\u00a0 Shiryev, S. A. & Agarwala, R. Indexing and searching petabase-scale nucleotide resources. Nat. Methods 21, 994\u20131002 (2024).<\/p>\n Article<\/a>\u00a0 Altschul, S. F., Gish, W., Miller, W., Myers, E. W. & Lipman, D. J. Basic local alignment search tool. J. Mol. Biol. 215, 403\u2013410 (1990).<\/p>\n Article<\/a>\u00a0 Chikhi, R., Raffestin, B., Korobeynikov, A., Edgar, R. & Babaian, A. Logan: planetary-scale genome assembly surveys life\u2019s diversity. Preprint at bioRxiv https:\/\/doi.org\/10.1101\/2024.07.30.605881<\/a> (2024).<\/p>\n Mirdita, M., Steinegger, M., Breitwieser, F., S\u00f6ding, J. & Levy Karin, E. Fast and sensitive taxonomic assignment to metagenomic contigs. Bioinformatics 37, 3029\u20133031 (2021).<\/p>\n Article<\/a>\u00a0 Dahlberg, C., Bergstr\u00f6m, M. & Hermansson, M. In situ detection of high levels of horizontal plasmid transfer in marine bacterial communities. Appl. Environ. Microbiol. 64, 2670\u20132675 (1998).<\/p>\n Article<\/a>\u00a0 Choi, K.-H. & Schweizer, H. P. mini-Tn7 insertion in bacteria with single attTn7 sites: example Pseudomonas aeruginosa. Nat. Protoc. 1, 153\u2013161 (2006).<\/p>\n Article<\/a>\u00a0 Heuer, H., Krsek, M., Baker, P., Smalla, K. & Wellington, E. M. Analysis of actinomycete communities by specific amplification of genes encoding 16S rRNA and gel-electrophoretic separation in denaturing gradients. Appl. Environ. Microbiol. 63, 3233\u20133241 (1997).<\/p>\n Article<\/a>\u00a0 Satokari, R. M. et al. Diversity of Bifidobacterium and Lactobacillus spp. in breast-fed and formula-fed infants as assessed by 16S rDNA sequence differences. Microb. Ecol. Health Dis. 14, 97\u2013105 (2002).<\/p>\n CAS<\/a>\u00a0 Hall, B. G., Acar, H., Nandipati, A. & Barlow, M. Growth rates made easy. Mol. Biol. Evol. 31, 232\u2013238 (2014).<\/p>\n Article<\/a>\u00a0 Reiter, M. A. & Vorholt, J. A. Dashing Growth Curves: a web application for rapid and interactive analysis of microbial growth curves. BMC Bioinformatics 25, 67 (2024).<\/p>\n Article<\/a>\u00a0 Komano, T. Shufflons: multiple inversion systems and integrons. Annu. Rev. Genet. 33, 171\u2013191 (1999).<\/p>\n Article<\/a>\u00a0 Marvig, R. L. et al. Within-host microevolution of Pseudomonas aeruginosa in Italian cystic fibrosis patients. BMC Microbiol. 15, 218 (2015).<\/p>\n Article<\/a>\u00a0
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n CAS<\/a>\u00a0
\n PubMed<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n
\n PubMed<\/a>\u00a0
\n PubMed Central<\/a>\u00a0
\n
\n Google Scholar<\/a>\u00a0\n <\/p>\n","protected":false},"excerpt":{"rendered":"Murray, C. J. L. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet…\n","protected":false},"author":2,"featured_media":710419,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[4414,107698,59,3250,102,7925,6194,33193,33192,33194,56,54,55,181],"class_list":["post-710418","post","type-post","status-publish","format-standard","has-post-thumbnail","category-health","tag-antibiotics","tag-clinical-microbiology","tag-gb","tag-general","tag-health","tag-infectious-diseases","tag-life-sciences","tag-medical-microbiology","tag-microbiology","tag-parasitology","tag-uk","tag-united-kingdom","tag-unitedkingdom","tag-virology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/710418","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=710418"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/710418\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/710419"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=710418"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=710418"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=710418"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}