Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98685
PIRA download icon_1.1View/Download Full Text
Title: Functional and phylogenetic analysis of TetX variants to design a new classification system
Authors: Cheng, Q 
Cheung, Y
Liu, C
Chan, EWC 
Wong, KY 
Zhang, R
Chen, S 
Issue Date: 2022
Source: Communications biology, 2022, v. 5, 522
Abstract: Recently, many TetX variants such as Tet(X3~14) were reported to confer resistance to tigecycline which is a last-resort antibiotic used to treat infections caused by multidrug-resistant bacteria. In this study, we identified essential residues including 329, 339, 340, 350, and 351 in TetX variants that mediated the evolution of the tigecycline-inactive Tet(X2) enzyme to the active forms of Tet(X3) and Tet(X4). Based on their amino acid sequences and functional features, we classified TetX variants into TetX-A class, TetX-B class and TetX-C class. We further found that TetX-A class variants originated from Bacteroidetes, with some variants further evolving to TetX-C class and acquired by Enterobacteriaceae. On the other hand, our data showed that some variants genes belonging to TetX-A class evolved directly to TetX-B class, which was further transmitted to Acinetobacter spp. This new classification system may facilitate better clinical management of patients infected by TetX-producing strains.
Publisher: Nature Publishing Group
Journal: Communications biology 
EISSN: 2399-3642
DOI: 10.1038/s42003-022-03465-y
Rights: © The Author(s) 2022
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
The following publication Cheng, Q., Cheung, Y., Liu, C., Chan, E. W. C., Wong, K. Y., Zhang, R., & Chen, S. (2022). Functional and phylogenetic analysis of TetX variants to design a new classification system. Communications Biology, 5(1), 522 is available at https://doi.org/10.1038/s42003-022-03465-y.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
s42003-022-03465-y.pdf1.79 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

101
Last Week
0
Last month
Citations as of Nov 9, 2025

Downloads

47
Citations as of Nov 9, 2025

SCOPUSTM   
Citations

23
Citations as of Dec 19, 2025

WEB OF SCIENCETM
Citations

21
Citations as of Dec 18, 2025

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.