2016
DOI: 10.2134/jeq2015.05.0255
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Metagenomic Comparison of Antibiotic Resistance Genes Associated with Liquid and Dewatered Biosolids

Abstract: Municipal biosolids (MBs) that are land-applied in North America are known to possess an active microbial population that can include human pathogens. Activated sludge is a hotspot for the accumulation of antibiotics and has been shown to be a selective environment for microorganisms that contain antibiotic resistance genes (ARGs); however, the prevalence of ARGs in MBs is not well characterized. In this study, we enriched the plasmid metagenome from raw sewage sludge and two CP2 MBs, a mesophilic anaerobic di… Show more

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Cited by 11 publications
(8 citation statements)
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“…The final taxonomic affiliation analysis of the ARGs was performed with a MEtaGenome Analyzer (MEGAN v6.9) [44], which was used to compute and interactively explore the taxonomic content of the data set using the lowest common ancestor (LCA) method on the NCBI Taxonomy phylogenetic Tree of Life (LCA parameters: mini-score 35, top percentage 10%). The portion of sequence types or subtypes identified as ARGs in the total metagenome were defined as the relative abundance, using cross-sample normalization in ppm (one read in one million mapped reads) [42, 45].…”
Section: Methodsmentioning
confidence: 99%
“…The final taxonomic affiliation analysis of the ARGs was performed with a MEtaGenome Analyzer (MEGAN v6.9) [44], which was used to compute and interactively explore the taxonomic content of the data set using the lowest common ancestor (LCA) method on the NCBI Taxonomy phylogenetic Tree of Life (LCA parameters: mini-score 35, top percentage 10%). The portion of sequence types or subtypes identified as ARGs in the total metagenome were defined as the relative abundance, using cross-sample normalization in ppm (one read in one million mapped reads) [42, 45].…”
Section: Methodsmentioning
confidence: 99%
“…In this manner, a profile of the types and numbers of ARGs detected in a sample can be obtained and compared with other samples using various bioinformatics techniques and graphical representations. Metagenomics has been successfully applied in this manner for monitoring ARGs in wastewater treatment plants (Schluter et al, 2008;Wang et al, 2013;Yang et al, 2014;Li et al, 2015a;Munck et al, 2015;Zhang et al, 2015a;Bengtsson-Palme et al, 2016;Hu et al, 2016;Karkman et al, 2016;Ma et al, 2016b), biosolids (McCall et al, 2016;Tao et al, 2016;Rowe et al, 2016;Tang et al, 2016), manure (Agga et al, 2015), soil (Yan et al, 2016), rivers (Garner et al, 2016;Rowe et al, 2016), sediments (Cummings et al, 2011), and (Port et al, 2012). However, next-generation DNA sequencing technologies are still costly and require a high level of expertise, currently restricting metagenomic analysis to the realm of research, although that may soon change.…”
Section: Detection Methods For Antibiotic Resistance Monitoring Targetsmentioning
confidence: 99%
“…However, it is not suited for the detection of point mutations in chromosomal target genes known to be associated with antimicrobial resistance genes . Many studies have annotated antimicrobial resistance using the CARD alone or in combination with the ARDB . Unlike the ARDB, the CARD is actively managed and periodically updated.…”
Section: Sequence‐based Methods For Resistance Discoverymentioning
confidence: 99%
“…120 Many studies have annotated antimicrobial resistance using the CARD alone or in combination with the ARDB. 110,111,121,122 Unlike the ARDB, the CARD is actively managed and periodically updated.…”
Section: Sequence-based Methods For Resistance Discoverymentioning
confidence: 99%