Hydrothermal treatment of lincomycin mycelial residues: Antibiotic resistance genes reduction and heavy metals immobilization

2019 ◽  
Vol 271 ◽  
pp. 143-149 ◽  
Author(s):  
Mengmeng Wang ◽  
Huiling Liu ◽  
Xiangming Cheng ◽  
Bo Zhang ◽  
Chen Cai ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Antibiotic Resistance ◽  
Hydrothermal Treatment ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes

Prevalence and dissemination of antibiotic resistance genes and coselection of heavy metals in Chinese dairy farms

2016 ◽  
Vol 320 ◽  
pp. 10-17 ◽  
Author(s):  
Bingrui Zhou ◽  
Chong Wang ◽  
Qin Zhao ◽  
Yang Wang ◽  
Meijun Huo ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Antibiotic Resistance ◽  
Resistance Genes ◽  
Antibiotic Resistance Genes ◽  
Dairy Farms

scholarly journals In-Depth Resistome Analysis by Targeted Metagenomics

2017 ◽  
Author(s):  
Val F. Lanza ◽  
Fernando Baquero ◽  
José Luós Martónez ◽  
Ricardo Ramos-Ruóz ◽  
Bruno González-Zorn ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Antibiotic Resistance ◽  
Antimicrobial Resistance ◽  
Resistance Genes ◽  
Gene Diversity ◽  
Antibiotic Resistance Genes ◽  
Sequence Capture ◽  
Bioinformatic Approaches ◽  
Microbial Systems ◽  
Targeted Sequence Capture

ABSTRACTWe developed ResCap, a targeted sequence capture platform based on SeqCapEZ technology, to analyse resistomes and other genes related to antimicrobial resistance (heavy metals, biocides and plasmids). ResCap includes probes for 8,667 canonical resistance genes (7,963 antibiotic resistance genes and 704 genes conferring resistance to metals or biocides), plus 2,517 relaxase genes (plasmid markers). Besides, it includes 78.600 genes homologous to the previous ones (47,806 for antibiotics and 30,794 for biocide or metals). ResCap enriched 279-fold the targeted sequences detected by metagenomic shotgun sequencing and improves their identification. Novel bioinformatic approaches allow quantifying “gene abundance” and “gene diversity”. ResCap, the first targeted sequence capture specifically developed to analyse resistomes, enhances the sensitivity and specificity of available metagenomic methods to analyse antibiotic resistance in complex populations, enables the analysis of other genes related to antimicrobial resistance and opens the possibility to accurately study other complex microbial systems.

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