Deciphering Microbial Metal Toxicity Responses via Random Bar Code Transposon Site Sequencing and Activity-Based Metabolomics-Reference-Cited by-同舟云学术

Deciphering Microbial Metal Toxicity Responses via Random Bar Code Transposon Site Sequencing and Activity-Based Metabolomics

Published:2021-10-14 Issue:21 Volume:87 Page:
ISSN:0099-2240
Container-title:Applied and Environmental Microbiology
language:en
Short-container-title:Appl Environ Microbiol

Author:

Thorgersen Michael P.¹,Xue Jingchuan²,Majumder Erica L. W.²^ORCID,Trotter Valentine V.³,Ge Xiaoxuan¹,Poole Farris L.¹,Owens Trenton K.³,Lui Lauren M.³,Nielsen Torben N.³,Arkin Adam P.³,Deutschbauer Adam M.³,Siuzdak Gary²,Adams Michael W. W.¹^ORCID

Affiliation:

1. Department of Biochemistry & Molecular Biology, University of Georgia, Athens, Georgia, USA

2. The Scripps Center for Mass Spectrometry and Department of Molecular Biology, The Scripps Research Institute, La Jolla, California, USA

3. Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA

Abstract

Studying microbial interactions with their environment can lead to a deeper understanding of biological molecular mechanisms. In the manuscript, two global techniques, RB-TnSeq and activity metabolomics, were successfully used to probe the interactions between a metal-resistant microorganism, Pantoea sp. strain MT58, and metals contaminating a site where the organism can be located.

Funder

U.S. Department of Energy

Publisher

American Society for Microbiology

Subject

Ecology,Applied Microbiology and Biotechnology,Food Science,Biotechnology

Link

https://journals.asm.org/doi/pdf/10.1128/AEM.01037-21

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