scholarly journals Diversity analysis and metagenomic insights into the Antibiotic Resistance and Metal Resistances among Hot Spring Bacteriobiome-insinuating inherent environmental baseline levels of Antibiotic and Metal tolerance

2019 ◽  
Author(s):  
Ishfaq Nabi Najar ◽  
Mingma Thundu Sherpa ◽  
Sayak Das ◽  
Nagendra Thakur
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Hot Springs ◽  
Metal Tolerance ◽  
Hot Spring ◽  
Thermophilic Bacteria ◽  
Antibiotic Resistance Genes ◽  
Metal Resistance ◽  
Culture Independent ◽  
Maximum Similarity

AbstractMechanisms of occurrence and expressions of antibiotic resistance genes (ARGs) in thermophilic bacteria are still unknown owing to limited research and data. The evolution and proliferation of ARGs in the thermophilic bacteria is unclear and needs a comprehensive study. In this research, comparative profiling of antibiotic resistance genes and metal tolerance genes among the thermophilic bacteria has been done by culture-independent functional metagenomic methods. Metagenomic analysis showed the dominance of Proteobacteria, Actinobacteria. Firmicutes and Bacteroidetes in these hot springs. ARG analysis through shotgun gene sequencing was found to be negative in case of thermophilic bacteria. However, few of genes were detected but they were showing maximum similarity with mesophilic bacteria. Concurrently, metal resistance genes were also detected in the metagenome sequence of hot springs. Detection of metal resistance gene and absence of ARG’s investigated by whole genome sequencing, in the reference genome sequence of thermophilic Geobacillus also conveyed the same message. This evolutionary selection of metal resistance over antibiotic genes may have been necessary to survive in the geological craters which are full of different metals from earth sediments rather than antibiotics. Furthermore, the selection could be environment driven depending on the susceptibility of ARG’s in thermophilic environment as it reduces the chances of horizontal gene transfer. With these findings this article highlights many theories and culminates different scopes to study these aspects in thermophiles.

scholarly journals 655. Detection of Antibiotic Resistance Genes in Clinical Samples using T2 Magnetic Resonance

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S301-S301
Author(s):  
Jessica L Snyder ◽  
Brendan Manning ◽  
Robert Shivers ◽  
Daniel Gamero ◽  
Heidi Giese ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Magnetic Resonance ◽  
Species Identification ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Resistance Testing ◽  
Clinical Samples ◽  
Antibiotic Resistant ◽  
Blood Samples ◽  
Culture Independent

Abstract Background Antibiotic-resistant bacteria are spread through selective pressure from the use of broad-spectrum empirical therapies, mobile genetic elements that pass resistance genes between species, and the inability to rapidly and appropriately respond to their presence. Resistance gene identification is often performed with post culture molecular diagnostic tests. The T2Resistance Panel, which detects methicillin resistance genes mecA/C; vancomycin resistance genes vanA/B; carbapenemases blaKPC, blaOXA-48,blaNDM, blaVIM, and blaIMP; AmpC β-lactamases blaCMY and blaDHA; and extended-spectrum β-lactamases blaCTX-M directly from patient blood samples, is based on T2 magnetic resonance (T2MR), an FDA-cleared technology with demonstrated high sensitivity and specificity for culture-independent bacterial and fungal species identification. Here we report the clinical performance of T2MR detection of resistance genes directly from patient blood samples. Methods Patients with a clinical diagnosis of sepsis and an order for blood culture (BC) were enrolled in the study at two sites. BCs were managed using standard procedures and MALDI-TOF for species identification. Resistance testing with the T2MR assay was performed on a direct patient draw and compared with diagnostic test results from concurrent BC specimen and BC specimen taken at other points in time. The potential impact on therapy was evaluated through patient chart review. Results T2MR detected the same resistance genes as detected by post culture diagnostics in 100% of samples from concurrent blood draws. Discordant results occurred when T2MR was taken ≥48 hours after BC for patients on antimicrobial therapy. The average time to positive result was 5.9 hours with T2MR vs. 30.6 hours with post-culture molecular testing. Conclusion The T2Resistance Panel detected antibiotic resistance genes in clinical samples and displayed agreement with post culture genetic testing. T2MR results were achieved faster than culture-dependent diagnostic testing results and may allow for an earlier change from empiric to directed therapy. The use of culture-independent diagnostics like T2MR could enable a quicker response to antibiotic-resistant organisms for individual patients and developing outbreaks. Disclosures All authors: No reported disclosures.

Coexistence between antibiotic resistance genes and metal resistance genes in manure-fertilized soils

Geoderma ◽  
2021 ◽  
Vol 382 ◽  
pp. 114760
Author(s):  
Na Zhang ◽  
Philippe Juneau ◽  
Ruilin Huang ◽  
Zhili He ◽  
Bo Sun ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Metal Resistance

scholarly journals NanoARG: A web service for identification of antimicrobial resistance elements from nanopore-derived environmental metagenomes

2018 ◽  
Author(s):  
G. A. Arango-Argoty ◽  
D. Dai ◽  
A. Pruden ◽  
P. Vikesland ◽  
L. S. Heath ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Sequence Data ◽  
Antibiotic Resistance Genes ◽  
Metal Resistance ◽  
Direct Selection ◽  
Human Pathogens ◽  
Next Generation Sequencing Technology ◽  
Monitoring Tools ◽  
Long Reads

ABSTRACTDirect selection pressures imposed by antibiotics, indirect pressures by co-selective agents, and horizontal gene transfer are fundamental drivers of the evolution and spread of antibiotic resistance. Therefore, effective environmental monitoring tools should ideally capture not only antibiotic resistance genes (ARGs), but also mobile genetic elements (MGEs) and indicators of co-selective forces, such as metal resistance genes (MRGs). Further, a major challenge towards characterizing potential human risk is the ability to identify bacterial host organisms, especially human pathogens. Historically, short reads yielded by next-generation sequencing technology has hampered confidence in assemblies for achieving these purposes. Here we introduce NanoARG, an online computational resource that takes advantage of long reads produced by MinION nanopore sequencing. Specifically, long nanopore reads enable identification of ARGs in the context of relevant neighboring genes, providing relevant insight into mobility, co-selection, and pathogenicity. NanoARG allows users to upload sequence data online and provides various means to analyze and visualize the data, including quantitative and simultaneous profiling of ARG, MRG, MGE, and pathogens. NanoARG is publicly available and freely accessible at http://bench.cs.vt.edu/nanoARG.

scholarly journals Genetic Determinants for Metal Tolerance and Antimicrobial Resistance Detected in Bacteria Isolated from Soils of Olive Tree Farms

Antibiotics ◽  
2020 ◽  
Vol 9 (8) ◽  
pp. 476
Author(s):  
Nicolás Glibota ◽  
Mª José Grande ◽  
Antonio Galvez ◽  
Elena Ortega
Keyword(s):  
Antibiotic Resistance ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Metal Tolerance ◽  
Antibiotic Resistance Genes ◽  
Olive Tree ◽  
Bacterial Strains ◽  
Genetic Determinants ◽  
Genetic Traits ◽  
Tree Farms

Copper-derived compounds are often used in olive tree farms. In a previous study, a collection of bacterial strains isolated from olive tree farms were identified and tested for phenotypic antimicrobial resistance and heavy metal tolerance. The aim of this work was to study the genetic determinants of resistance and to evaluate the co-occurrence of metal tolerance and antibiotic resistance genes. Both metal tolerance and antibiotic resistance genes (including beta-lactamase genes) were detected in the bacterial strains from Cu-treated soils. A high percentage of the strains positive for metal tolerance genes also carried antibiotic resistance genes, especially for genes involved in resistances to beta-lactams and tetracycline. Significant associations were detected between genes involved in copper tolerance and genes coding for beta-lactamases or tetracycline resistance mechanisms. A significant association was also detected between zntA (coding for a Zn(II)-translocating P-type ATPase) and tetC genes. In conclusion, bacteria from soils of Cu-treated olive farms may carry both metal tolerance and antibiotic resistance genes. The positive associations detected between metal tolerance genes and antibiotic resistance genes suggests co-selection of such genetic traits by exposure to metals.

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