Plasmids of novel incompatibility group IncpRBL16 from Pseudomonas species

Jiang, Xiaoyuan; Yin, Zhe; Yuan, Min; Cheng, Qiaoxiang; Hu, Lingfei; Xu, Yanan; Yang, Wenhui; Yang, Huiying; Zhao, Yuee; Zhao, Xiaodong; Gao, Bo; Dai, Erfu; Song, Yajun; Zhou, Dongsheng

doi:10.1093/jac/dkaa143

Cited by 24 publications

(32 citation statements)

References 42 publications

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“…These hypotheses explain the abundance of ISs in bacteria, which are influenced by drift, the frequency of HGT interactions, the positive or negative fitness effects of ISs, and, most importantly, the rate of transposition (808). (826)(827)(828)(829). Remarkably, these elements are the main vehicles of class 1 (Tn402) and class 2 (Tn7) integrons (717,(830)(831)(832).…”

Section: Ecology and Evolution Of Mobile Genetic Elementsmentioning

confidence: 99%

Evolutionary Pathways and Trajectories in Antibiotic Resistance

Baquero¹,

Martínez²,

Rodríguez-Beltrán³

et al. 2021

Preprint

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Evolution is the hallmark of life. Descriptions of the evolution of microorganisms have provided a wealth of information, but knowledge regarding “what happened” has precluded a deeper understanding of “how” evolution has proceeded, as in the case of antimicrobial resistance. The difficulty in answering the “how” question lies in the multihierarchical dimensions of evolutionary processes, nested in complex networks, encompassing all units of selection, from genes to communities and ecosystems. At the simplest ontological level (as resistance genes), evolution proceeds by random (mutation and drift) and directional (natural selection) processes; however, sequential pathways of adaptive variation can occasionally be observed, and under fixed circumstances (particular fitness landscapes), evolution is predictable. At the highest level (such as that of plasmids, clones, species, microbiotas), the system’s degrees of freedom increase dramatically, related to the variable dispersal, fragmentation, relatedness or coalescence of bacterial populations, depending on heterogeneous and changing niches and selective gradients in complex environments. Evolutionary trajectories of antibiotic resistance find their way in these moving, frequently random landscapes and become highly entropic and therefore unpredictable. However, experimental, phylogenetic and ecogenetic analyses reveal preferential frequented paths (highways) where antibiotic resistance flows and propagates, allowing some understanding of evolutionary dynamics, modelling and designing interventions. Studies on antibiotic resistance have an applied aspect in improving individual health, one health and global health, as well as an academic value for understanding evolution. Most importantly, they have a heuristic significance as a model to reduce the negative influence of anthropogenic effects on the environment.

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Section: Ecology and Evolution Of Mobile Genetic Elementsmentioning

confidence: 99%

Evolutionary Pathways and Trajectories in Antibiotic Resistance

Baquero¹,

Martínez²,

Rodríguez-Beltrán³

et al. 2021

Preprint

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“…pNDTH10366-KPC and pWTJH12-KPC belonged to a megaplasmid family[49, 50], referred as Type 2 plasmid here. As with other family members, these two plasmids carried a ParB-related ThiF-related cassette (PRTRC system), a chemotaxis operon, a partition system, a type II secretion system, a radical SAM operon, a tellurite resistance operon and a T4SS on its backbone.…”

Section: Resultsmentioning

confidence: 99%

Emergence and rising of ceftazidime-avibactam resistant KPC-producing Pseudomonas aeruginosa in China: a molecular epidemiology study

Zhu

Chen

Shen

et al. 2020

Preprint

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Background: Infections by Carbapenem-resistant Pseudomonas aeruginosa (CRPA) are difficult to treat and novel antibiotics are desperately needed. Till today, ceftazidime-avibactam (CAZ-AVI) has been used to treat infections caused by multidrug resistant (MDR) Gram-negative bacteria, including Klebsiella pneumoniae carbapenemase (KPC)-producing organisms. Although cases of KPC-producing P. aeruginosa (KPC-PA) have been reported sporadically, data about KPC-PA susceptibility to CAZ-AVI and its molecular characteristics are limited. Methods: CRPA were collected from seven hospitals in China from 2017 to 2018. PCR was deployed to screen for the blaKPC gene. Antimicrobial susceptibility of KPC-PA was determined by broth microdilution method or agar dilution method. We combined Illumina sequencing and Nanopore long-read sequencing to elucidate the genomic characteristics of KPC-PA strains. Results: KPC-PA strains were found in six out of seven hospitals. 151/374 (40.4%) CRPA clinical isolates harbored the blaKPC-2 gene. Among KPC-PA, ST463 (107/151) was predominant, followed by ST485 (14/151) and ST1212 (12/151). Approximately half of all KPC-PA (50.3%) were susceptible to CAZ-AVI. We found that the blaKPC-2 gene copy number correlated with CAZ-AVI MIC. In more than 90% (136/151) of the strains, we found plasmids that belonged to two types carrying blaKPC-2 gene. The Type 1 plasmid, predominant in East China, was identified in 118 strains and the Type 2 plasmid, belonged to a megaplasmid family spreading globally, was identified in 19 strains. In addition, we identified IS26-ΔTn6296 and IS6100-ΔTn6296-Tn1403 as two mobile genetic elements that mediated blaKPC-2 gene transmission. Conclusion: Our results suggest that the blaKPC-2 gene is becoming a remarkable mediator of carbapenem resistance in P. aeruginosa in China. The emergence and spread of such KPC-PA strains poses a threat on clinical therapy as CAZ-AVI becomes inefficient. It would be beneficial to screen for the blaKPC gene in CRPA strains for antimicrobial surveillance.

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“…Notably, Tn6848, Tn6849, Tn6882, and Tn6883 were inserted within Tn6853, Tn6854, Tn6877, and Tn6878, respectively. Two chromosome-borne MGEs-the previously characterized mer-carrying unit transposon Tn6488 (Jiang et al, 2020) found in the isolates YT12746 and YTSEY8, and the IME Tn6779 (carrying no resistance genes; unrelated to this study) from the SE5357 isolatewere excluded.…”

Section: Comparison Of Five Related Ices Tn6417 Tn6584 Tn6585 Tn65mentioning

confidence: 99%

“…Besides, a 31.9-kb fragment composed of Tn6830, a truncated ISCR3-tetA(G)-cmlA9 unit, an empty integron In0 and IS6100 was inserted into the 3′-terminal region of In1774 Tn6849 . Tn6830 belonged to the Tn4651 (Tsuda et al, 1989) subgroup of Tn3-family unit transposons, and it highly resembled Tn6489b (Jiang et al, 2020): Tn6830 and FIGURE 4 | Organization of four related IMEs Tn6852, Tn6853, Tn6854, and Tn6855. Genes are denoted by arrows.…”

Section: Comparison Of Five Related Unit Transposons Tn1403 Tn6846 mentioning

confidence: 99%

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Novel Chromosome-Borne Accessory Genetic Elements Carrying Multiple Antibiotic Resistance Genes in Pseudomonas aeruginosa

Yang

et al. 2021

Front. Cell. Infect. Microbiol.

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Pseudomonas aeruginosa is noted for its intrinsic antibiotic resistance and capacity of acquiring additional resistance genes. In this study, the genomes of nine clinical P. aeruginosa isolates were fully sequenced. An extensive genetic comparison was applied to 18 P. aeruginosa accessory genetic elements (AGEs; 13 of them were sequenced in this study and located within P. aeruginosa chromosomes) that were divided into four groups: five related integrative and conjugative elements (ICEs), four related integrative and mobilizable elements (IMEs), five related unit transposons, and two related IMEs and their two derivatives. At least 45 resistance genes, involved in resistance to 10 different categories of antibiotics and heavy metals, were identified from these 18 AGEs. A total of 10 β-lactamase genes were identified from 10 AGEs sequenced herein, and nine of them were captured within class 1 integrons, which were further integrated into ICEs and IMEs with intercellular mobility, and also unit transposons with intracellular mobility. Through this study, we identified for the first time 20 novel MGEs, including four ICEs Tn6584, Tn6585, Tn6586, and Tn6587; three IMEs Tn6853, Tn6854, and Tn6878; five unit transposons Tn6846, Tn6847, Tn6848, Tn6849, and Tn6883; and eight integrons In1795, In1778, In1820, In1784, In1775, In1774, In1789, and In1799. This was also the first report of two resistance gene variants blaCARB-53 and catB3s, and a novel ST3405 isolate of P. aeruginosa. The data presented here denoted that complex transposition and homologous recombination promoted the assembly and integration of AGEs with mosaic structures into P. aeruginosa chromosomes.

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Plasmids of novel incompatibility group IncpRBL16 from Pseudomonas species

Cited by 24 publications

References 42 publications

Evolutionary Pathways and Trajectories in Antibiotic Resistance

Evolutionary Pathways and Trajectories in Antibiotic Resistance

Emergence and rising of ceftazidime-avibactam resistant KPC-producing Pseudomonas aeruginosa in China: a molecular epidemiology study

Novel Chromosome-Borne Accessory Genetic Elements Carrying Multiple Antibiotic Resistance Genes in Pseudomonas aeruginosa

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