Influences of graphene on microbial community and antibiotic resistance genes in mouse gut as determined by high-throughput sequencing

Chemosphere ◽  
2016 ◽  
Vol 144 ◽  
pp. 1306-1312 ◽  
Author(s):  
Yongchao Xie ◽  
Bing Wu ◽  
Xu-Xiang Zhang ◽  
Jinbao Yin ◽  
Liang Mao ◽  
...  
2017 ◽  
Vol 231 ◽  
pp. 1145-1152 ◽  
Author(s):  
Jing Wang ◽  
Jing Wang ◽  
Zelong Zhao ◽  
Jingwen Chen ◽  
Hong Lu ◽  
...  

2021 ◽  
Author(s):  
Schuyler D. Smith ◽  
Jin Choi ◽  
Nicole Ricker ◽  
Fan Yang ◽  
Shannon Hinsa-Leasure ◽  
...  

Effective monitoring of antibiotic resistance genes and their dissemination in environmental ecosystems has been hindered by the cost and efficiency of methods available for the task. We developed a method entitled the Diversity of Antibiotic Resistance genes and Transfer Elements-Quantitative Monitoring (DARTE-QM), a system implementing high-throughput sequencing to simultaneously sequence thousands of antibiotic resistant genes representing a full-spectrum of antibiotic resistance classes commonly seen in environmental systems. In this study, we demonstrated DARTE-QM by screening 662 antibiotic resistance genes within environmental samples originated from manure, soil, and animal feces, in addition to a mock-community used as a control to test performance. DARTE-QM offers a new approach to studying antibiotic resistance in environmental microbiomes, showing advantages in efficiency and the ability to scale for many samples. This method provides a means of data acquisition that will alleviate the obstacles that many researchers in this area currently face.


Sign in / Sign up

Export Citation Format

Share Document