Effects of higher temperature on antibiotic resistance genes for in-situ biogas upgrading reactors with H2 addition

2021 ◽  
Vol 764 ◽  
pp. 144639
Author(s):  
Xianpu Zhu ◽  
Yichao Chen ◽  
Xiaofeng Liu ◽  
Dong Li
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Biogas Upgrading ◽  
Higher Temperature ◽  
H2 Addition

scholarly journals Linking the Resistome and Plasmidome to the Microbiome

2018 ◽  
Author(s):  
Thibault Stalder ◽  
Max Press ◽  
Shawn Sullivan ◽  
Ivan Liachko ◽  
Eva M. Top
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Wastewater Sample ◽  
Proximity Ligation ◽  
Rapid Spread ◽  
Ligation Method ◽  
Novel Associations

AbstractThe rapid spread of antibiotic resistance is a serious human health threat. A range of environments have been identified as reservoirs of the antibiotic resistance genes (ARGs) found in pathogens. However, we lack understanding of the origins of these ARGs and their spread from environment to clinic. This is partly due to our inability to identify the bacterial hosts of ARGs and the mobile genetic elements that mediate this spread, such as plasmids and integrons. Here we demonstrated that the in vivo proximity ligation method Hi-C can determine the in situ host range of ARGs, plasmids, and integrons in a wastewater sample by physically linking them to their host chromosomes. Hi-C detected both previously known and novel associations between ARGs, mobile elements and host genomes, mostly validating this method. A better identification of the natural carriers of ARGs will aid the development of strategies to limit resistance spread to pathogens.

scholarly journals Pollution Characteristics of Typical Antibiotic Resistance Genes in Sludge Treatment Wetlands

2020 ◽  
Vol 194 ◽  
pp. 04010
Author(s):  
Zhuma Luosang ◽  
Wanjun Zhang ◽  
Junwen Ma ◽  
fengying Huang ◽  
Yubo Cui
Keyword(s):  
Antibiotic Resistance ◽  
Removal Efficiency ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Bottom Layer ◽  
Treatment Wetlands ◽  
Sludge Treatment ◽  
Pollution Characteristics ◽  
Box Method

The in-situ static box method was used to conduct a comparative experiment on sludge treatment wetlands (STWs). STW1 had ventilation structure, without reeds and STW2 had ventilation and was planted with reeds. The absolute abundance of sulfonamide, tetracycline and macrolide antibiotic resistance genes (ARGs) in the two STWs were analyzed, and the paper discussed pollution characteristics of typical antibiotic resistance genes in the two STWs. The results showed that three ARGs, sul1 (sulfonamides), tetC (tetracyclines), ermf (macrolides), were detected in STW1 and STW2. The concentration of arginine was sul1 > tetC > ermf. The concentration level of AGRS in STW1 and STW2 was lower in bottom layer than that of surface layer sludge. The removal efficiency of ARGs in the same system was tetC > sul1 > ermf, and the removal efficiency of surface sludge and bottom sludge in different systems was STW2 > STW1. Planting wetland plants in the STW can promote the removal of ARGs.

Quintuplex PCR to Detect Antibiotic Resistance Genes in Streptococcus pneumoniae

2016 ◽  
Vol 1 (2) ◽  
pp. 22 ◽  
Author(s):  
Navindra Kumari Palanisamy ◽  
Parasakthi Navaratnam ◽  
Shamala Devi Sekaran
Keyword(s):  
Antibiotic Resistance ◽  
Streptococcus Pneumoniae ◽  
Resistance Genes ◽  
Bacterial Pathogen ◽  
Antibiotic Resistance Genes ◽  
Pcr Amplification ◽  
Penicillin Resistance ◽  
Penicillin Binding Proteins ◽  
Efflux Mechanism ◽  
Mic Value

Introduction: Streptococcus pneumoniae is an important bacterial pathogen, causing respiratory infection. Penicillin resistance in S. pneumoniae is associated with alterations in the penicillin binding proteins, while resistance to macrolides is conferred either by the modification of the ribosomal target site or efflux mechanism. This study aimed to characterize S. pneumoniae and its antibiotic resistance genes using 2 sets of multiplex PCRs. Methods: A quintuplex and triplex PCR was used to characterize the pbp1A, ermB, gyrA, ply, and the mefE genes. Fifty-eight penicillin sensitive strains (PSSP), 36 penicillin intermediate strains (PISP) and 26 penicillin resistance strains (PRSP) were used. Results: Alteration in pbp1A was only observed in PISP and PRSP strains, while PCR amplification of the ermB or mefE was observed only in strains with reduced susceptibility to erythromycin. The assay was found to be sensitive as simulated blood cultures showed the lowest level of detection to be 10cfu. Conclusions: As predicted, the assay was able to differentiate penicillin susceptible from the non-susceptible strains based on the detection of the pbp1A gene, which correlated with the MIC value of the strains.

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