| Literature DB >> 33564026 |
Ayumu Ohno1, Kazuo Umezawa2, Satomi Asai3,4, Kirill Kryukov1,5, So Nakagawa1, Hayato Miyachi3,4, Tadashi Imanishi6.
Abstract
Spread of drug-resistant bacteria is a serious problem worldwide. We thus designed a new sequence-based protocol that can quickly identify bacterial compositions of clinical samples and their drug-resistance profiles simultaneously. Here we utilized propidium monoazide (PMA) that prohibits DNA amplifications from dead bacteria, and subjected the original and antibiotics-treated samples to 16S rRNA metagenome sequencing. We tested our protocol on bacterial mixtures, and observed that sequencing reads derived from drug-resistant bacteria were significantly increased compared with those from drug-sensitive bacteria when samples were treated by antibiotics. Our protocol is scalable and will be useful for quickly profiling drug-resistant bacteria.Entities:
Year: 2021 PMID: 33564026 DOI: 10.1038/s41598-021-82903-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379