Tetracyclines

Roberts, Marilyn C.

doi:10.1002/9781119593522.ch5

Cited by 11 publications

(7 citation statements)

References 71 publications

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“…It was clear that tetracycline antibiotics (TCs) in the 10 cm-deep soil layer and the β-lactam antibiotics (BLs) in the 50 cm-deep soil layer were the main antibiotic categories. A previous study reported that tetracyclines had a strong inhibitory effect on the biosynthesis of proteins and nucleic acids of microbes, which contributed considerably to ARG formation ( Roberts, 2019 ). Based on the results of the functional annotation of 16S rDNA fragments based on the KEGG database, it is clear that antibiotics have a significant inhibitory effect on multiple metabolism processes, such as metabolism, transport and catabolism, and membrane transport.…”

Section: Resultsmentioning

confidence: 99%

The Interactions Between Antibiotic Resistance Genes and Heavy Metal Pollution Under Co-Selective Pressure Influenced the Bio-Enzyme Activity

Zheng

et al. 2021

Front. Chem.

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The spread of antibiotic resistance genes (ARGs) has brought potential risks to public health. However, the interactions between heavy metals and ARGs, as well as their potential effect on bio-enzyme activity under the pressure of co-selectivity in soil still remain poorly understood. In this work, the distribution characteristics and the co-selective relationship of 28 ARGs and eight heavy metals in soil in a dairy farm were visualized via the geographic information system (GIS) technique. Eight kinds of heavy metals were detected by an atomic fluorescence spectrometer and atomic absorption spectrophotometer, which were further evaluated via the single factor pollution index value. The GIS analysis showed that arsenic (As) was the key element responsible for soil pollution, which was found to be positively related to soil depths. The top three comprehensive scores of ARGs ranked the orders of sul2 > tetX > blaTEM, indicating the high potential of risk caused by these genes in the soil environment. In addition, the functional predications performed with the 16 SrDNA sequencing data based on the KEGG database indicated that the sulfonamides in soil involved multiple pathways, especially the metabolism, transport and catabolism, and membrane transport processes. This suggested that most bio-enzymes were found to be expressed in low activities in different pathways. Significant correlations were observed between the heavy metals and ARGs (p < 0.05), particularly between the ARGs and As, Cu, Ni, Pb, and Zn (p < 0.01). This study offers deep insights into the potential interactions between heavy metals and ARGs in soil and provides guidance for the fabrication of enzyme-based smart materials for soil remediation in dairy farms.

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Section: Resultsmentioning

confidence: 99%

The Interactions Between Antibiotic Resistance Genes and Heavy Metal Pollution Under Co-Selective Pressure Influenced the Bio-Enzyme Activity

Zheng

et al. 2021

Front. Chem.

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“… 2015 ). Our survey of the diverse bacterial communities in wastewater showed that most Tc r genes are less host-restricted than previously considered (Roberts 2005a , b ; 2019 ). Moreover, the occurrence of identical Tc r genes in phylogenetically divergent taxa signals repeated transfer of ARGs among distant bacterial phyla.…”

Section: Introductionmentioning

confidence: 66%

Examining the taxonomic distribution of tetracycline resistance in a wastewater plant

Ochman,

Quandt,

Gottell

et al. 2024

Sustainable Microbiology

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Microbial communities serve as reservoirs of antibiotic resistance genes (ARGs) and facilitate the dissemination of these genes to bacteria that infect humans. Relatively little is known about the taxonomic distribution of bacteria harboring ARGs in these reservoirs and the avenues of transmission due to the technical hurdles associated with characterizing the contents of complex microbial populations and the assignment of genes to particular genomes. Focusing on the array of tetracycline resistance (Tcr) genes in the primary and secondary phases of wastewater treatment, 17 of the 22 assayed Tcr genes were detected in at least one sample. We then applied epicPCR to link tetracycline resistance genes to specific bacterial hosts. Whereas Tcr genes tend to vary in their distributions among bacterial taxa according to their modes of action, there were numerous instances in which a particular Tcr gene was associated with a host that was distantly related to all other bacteria bearing the same gene, including several hosts not previously identified. Tcr genes are far less host-restricted than previously assumed, indicating that complex microbial communities serve as settings where ARGs are spread among divergent bacterial phyla.

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“…Although tet (Q) has not yet been found in E. coli , it is frequently found in species of the mammalian gut microbiota such as Capnocytophaga, Bacteroides, Fusobacterium, Mitsuokella, Neisseria, Porphyromonas and Prevotella species. 5 A potential HGT mechanism for tet (Q) has been described in Bacteroides , where it is situated within CTnDOT, a conjugative transposon. 28 , 29 Although there is no evidence of tet (Q) being transferred via CTnDOT from Bacteroides to E. coli , an 18 kb fragment of this transposon not including tet (Q) was shown to be self-transmissible from Bacteroides to E. coli .…”

Section: Resultsmentioning

confidence: 99%

“…The tet (M) gene (Table S1 , available as Supplementary data at JAC Online), found in at least 78 species, is the most widely distributed RPP gene, possibly due to its presence on the broad-host-range conjugative transposons Tn 916 and Tn 1545 . 2 , 5 , 10 Among the other RPP genes, tet (O), tet (W) and tet (Q) are also found in a wide range of both Gram-negative and Gram-positive bacterial species. 5 Interestingly, tet (M) is the only RPP found repeatedly in E. coli isolates, including those from both human and animal sources, 11–17 with only a single report (based on PCR fragment size) of tet (W).…”

Section: Introductionmentioning

confidence: 99%

“… 2 , 5 , 10 Among the other RPP genes, tet (O), tet (W) and tet (Q) are also found in a wide range of both Gram-negative and Gram-positive bacterial species. 5 Interestingly, tet (M) is the only RPP found repeatedly in E. coli isolates, including those from both human and animal sources, 11–17 with only a single report (based on PCR fragment size) of tet (W). 18 Given the evidence that many bacterial genera host different RPP genes, 5 we asked whether phenotypic barriers might limit the spread of RPP genes other than tet (M) into E. coli .…”

Section: Introductionmentioning

confidence: 99%

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Phenotypic and genetic barriers to establishment of horizontally transferred genes encoding ribosomal protection proteins

Yadav

Garoff

Huseby

et al. 2021

Journal of Antimicrobial Chemotherapy

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Background Ribosomal protection proteins (RPPs) interact with bacterial ribosomes to prevent inhibition of protein synthesis by tetracycline. RPP genes have evolved from a common ancestor into at least 12 distinct classes and spread by horizontal genetic transfer into a wide range of bacteria. Many bacterial genera host RPP genes from multiple classes but tet(M) is the predominant RPP gene found in Escherichia coli. Objectives We asked whether phenotypic barriers (low-level resistance, high fitness cost) might constrain the fixation of other RPP genes in E. coli. Methods We expressed a diverse set of six different RPP genes in E. coli, including tet(M), and quantified tetracycline susceptibility and growth phenotypes as a function of expression level, and evolvability to overcome identified phenotypic barriers. Results The genes tet(M) and tet(Q) conferred high-level tetracycline resistance without reducing fitness; tet(O) and tet(W) conferred high-level resistance but significantly reduced growth fitness; tetB(P) conferred low-level resistance and while mutants conferring high-level resistance were selectable these had reduced growth fitness; otr(A) did not confer resistance and resistant mutants could not be selected. Evolution experiments suggested that codon usage patterns in tet(O) and tet(W), and transcriptional silencing associated with nucleotide composition in tetB(P), accounted for the observed phenotypic barriers. Conclusions With the exception of tet(Q), the data reveal significant phenotypic and genetic barriers to the fixation of additional RPP genes in E. coli.

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Tetracyclines

Cited by 11 publications

References 71 publications

The Interactions Between Antibiotic Resistance Genes and Heavy Metal Pollution Under Co-Selective Pressure Influenced the Bio-Enzyme Activity

The Interactions Between Antibiotic Resistance Genes and Heavy Metal Pollution Under Co-Selective Pressure Influenced the Bio-Enzyme Activity

Examining the taxonomic distribution of tetracycline resistance in a wastewater plant

Phenotypic and genetic barriers to establishment of horizontally transferred genes encoding ribosomal protection proteins

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