Your browser doesn't support javascript.
loading
Metagenomic sequencing combined with flow cytometry facilitated a novel microbial risk assessment framework for bacterial pathogens in municipal wastewater without cultivation.
Fu, Songzhe; Wang, Rui; Xu, Zheng; Zhou, Huiwen; Qiu, Zhiguang; Shen, Lixin; Yang, Qian.
Affiliation
  • Fu S; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education Dalian Ocean University Dalian China.
  • Wang R; Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education Northwest University Xi'an China.
  • Xu Z; Key Laboratory of Environment Controlled Aquaculture (KLECA), Ministry of Education Dalian Ocean University Dalian China.
  • Zhou H; Shenzhen Yantian District People's Hospital Shenzhen China.
  • Qiu Z; Institute of Biomedicine and Biotechnology, Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China.
  • Shen L; College of Life Science and Health Northeastern University Shenyang China.
  • Yang Q; School of Environment and Energy, Shenzhen Graduate School Peking University Shenzhen China.
Imeta ; 2(1): e77, 2023 Feb.
Article in En | MEDLINE | ID: mdl-38868349
ABSTRACT
A workflow that combined metagenomic sequencing with flow cytometry was developed. The absolute abundance of pathogens was accurately estimated in mock communities and real samples. Metagenome-assembled genomes binned from metagenomic data set is robust in phylogenetic analysis and virulence profiling.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Imeta Year: 2023 Document type: Article Country of publication: Australia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Imeta Year: 2023 Document type: Article Country of publication: Australia