A history of the MetaSUB consortium: Tracking urban microbes around the globe.

Details

Ressource 1Download: 36299999_BIB_5A0B3AAD5B77.pdf (2122.18 [Ko])
State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_5A0B3AAD5B77
Type
Article: article from journal or magazin.
Publication sub-type
Minutes: analyse of a published work.
Collection
Publications
Institution
Title
A history of the MetaSUB consortium: Tracking urban microbes around the globe.
Journal
iScience
Author(s)
Ryon K.A., Tierney B.T., Frolova A., Kahles A., Desnues C., Ouzounis C., Gibas C., Bezdan D., Deng Y., He D., Dias-Neto E., Elhaik E., Afshin E., Grills G., Iraola G., Suzuki H., Werner J., Udekwu K., Schriml L., Bhattacharyya M., Oliveira M., Zambrano M.M., Hazrin-Chong N.H., Osuolale O., Łabaj P.P., Tiasse P., Rapuri S., Borras S., Pozdniakova S., Shi T., Sezerman U., Rodo X., Sezer Z.H., Mason C.E.
ISSN
2589-0042 (Electronic)
ISSN-L
2589-0042
Publication state
Published
Issued date
18/11/2022
Peer-reviewed
Oui
Volume
25
Number
11
Pages
104993
Language
english
Notes
Publication types: News
Publication Status: epublish
Abstract
The MetaSUB Consortium, founded in 2015, is a global consortium with an interdisciplinary team of clinicians, scientists, bioinformaticians, engineers, and designers, with members from more than 100 countries across the globe. This network has continually collected samples from urban and rural sites including subways and transit systems, sewage systems, hospitals, and other environmental sampling. These collections have been ongoing since 2015 and have continued when possible, even throughout the COVID-19 pandemic. The consortium has optimized their workflow for the collection, isolation, and sequencing of DNA and RNA collected from these various sites and processing them for metagenomics analysis, including the identification of SARS-CoV-2 and its variants. Here, the Consortium describes its foundations, and its ongoing work to expand on this network and to focus its scope on the mapping, annotation, and prediction of emerging pathogens, mapping microbial evolution and antibiotic resistance, and the discovery of novel organisms and biosynthetic gene clusters.
Pubmed
Open Access
Yes
Create date
08/11/2022 11:58
Last modification date
08/08/2024 6:34
Usage data