scholarly journals Correction to: Succession and persistence of microbial communities and antimicrobial resistance genes associated with International Space Station environmental surfaces

Microbiome ◽  
2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Nitin Kumar Singh ◽  
Jason M. Wood ◽  
Fathi Karouia ◽  
Kasthuri Venkateswaran
2016 ◽  
Vol 4 (6) ◽  
Author(s):  
Aleksandra Checinska Sielaff ◽  
Nitin K. Singh ◽  
Jonathan E. Allen ◽  
James Thissen ◽  
Crystal Jaing ◽  
...  

The draft genome sequences of 20 biosafety level 2 (BSL-2) opportunistic pathogens isolated from the environmental surfaces of the International Space Station (ISS) were presented. These genomic sequences will help in understanding the influence of microgravity on the pathogenicity and virulence of these strains when compared with Earth strains.


2018 ◽  
Author(s):  
Charles Langelier ◽  
Michael Graves ◽  
Katrina Kalantar ◽  
Saharai Caldera ◽  
Robert Durrant ◽  
...  

AbstractWe engaged metagenomic next generation sequencing to longitudinally assess the gut microbiota and antimicrobial resistomes of international travelers to understand global exchange of resistant organisms. Travel resulted in an increase in antimicrobial resistance genes and a greater proportion of Escherichia species within gut microbial communities without impacting diversity.


Antibiotics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 221
Author(s):  
Ashenafi F. Beyi ◽  
Alan Hassall ◽  
Gregory J. Phillips ◽  
Paul J. Plummer

Bovine digital dermatitis (DD) is a contagious infectious cause of lameness in cattle with unknown definitive etiologies. Many of the bacterial species detected in metagenomic analyses of DD lesions are difficult to culture, and their antimicrobial resistance status is largely unknown. Recently, a novel proximity ligation-guided metagenomic approach (Hi-C ProxiMeta) has been used to identify bacterial reservoirs of antimicrobial resistance genes (ARGs) directly from microbial communities, without the need to culture individual bacteria. The objective of this study was to track tetracycline resistance determinants in bacteria involved in DD pathogenesis using Hi-C. A pooled sample of macerated tissues from clinical DD lesions was used for this purpose. Metagenome deconvolution using ProxiMeta resulted in the creation of 40 metagenome-assembled genomes with ≥80% complete genomes, classified into five phyla. Further, 1959 tetracycline resistance genes and ARGs conferring resistance to aminoglycoside, beta-lactams, sulfonamide, phenicol, lincosamide, and erythromycin were identified along with their bacterial hosts. In conclusion, the widespread distribution of genes conferring resistance against tetracycline and other antimicrobials in bacteria of DD lesions is reported for the first time. Use of proximity ligation to identify microorganisms hosting specific ARGs holds promise for tracking ARGs transmission in complex microbial communities.


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