Literature DB >> 34432491

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

Michael P Thorgersen1, Jingchuan Xue2, Erica L W Majumder2, Valentine V Trotter3, Xiaoxuan Ge1, Farris L Poole1, Trenton K Owens3, Lauren M Lui3, Torben N Nielsen3, Adam P Arkin3, Adam M Deutschbauer3, Gary Siuzdak2, Michael W W Adams1.   

Abstract

To uncover metal toxicity targets and defense mechanisms of the facultative anaerobe Pantoea sp. strain MT58 (MT58), we used a multiomic strategy combining two global techniques, random bar code transposon site sequencing (RB-TnSeq) and activity-based metabolomics. MT58 is a metal-tolerant Oak Ridge Reservation (ORR) environmental isolate that was enriched in the presence of metals at concentrations measured in contaminated groundwater at an ORR nuclear waste site. The effects of three chemically different metals found at elevated concentrations in the ORR contaminated environment were investigated: the cation Al3+, the oxyanion CrO42-, and the oxycation UO22+. Both global techniques were applied using all three metals under both aerobic and anaerobic conditions to elucidate metal interactions mediated through the activity of metabolites and key genes/proteins. These revealed that Al3+ binds intracellular arginine, CrO42- enters the cell through sulfate transporters and oxidizes intracellular reduced thiols, and membrane-bound lipopolysaccharides protect the cell from UO22+ toxicity. In addition, the Tol outer membrane system contributed to the protection of cellular integrity from the toxic effects of all three metals. Likewise, we found evidence of regulation of lipid content in membranes under metal stress. Individually, RB-TnSeq and metabolomics are powerful tools to explore the impact various stresses have on biological systems. Here, we show that together they can be used synergistically to identify the molecular actors and mechanisms of these pertubations to an organism, furthering our understanding of how living systems interact with their environment. IMPORTANCE Studying microbial interactions with their environment can lead to a deeper understanding of biological molecular mechanisms. In this study, 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. A number of novel metal-microbe interactions were uncovered, including Al3+ toxicity targeting arginine synthesis, which could lead to a deeper understanding of the impact Al3+ contamination has on microbial communities as well as its impact on higher-level organisms, including plants for whom Al3+ contamination is an issue. Using multiomic approaches like the one described here is a way to further our understanding of microbial interactions and their impacts on the environment overall.

Entities:  

Keywords:  metabolomics; metal resistance; transposon mutagenesis

Mesh:

Substances:

Year:  2021        PMID: 34432491      PMCID: PMC8516053          DOI: 10.1128/AEM.01037-21

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  60 in total

1.  Enrichment of members of the family Geobacteraceae associated with stimulation of dissimilatory metal reduction in uranium-contaminated aquifer sediments.

Authors:  Dawn E Holmes; Kevin T Finneran; Regina A O'Neil; Derek R Lovley
Journal:  Appl Environ Microbiol       Date:  2002-05       Impact factor: 4.792

2.  Dissimilatory metal reduction by the facultative anaerobe Pantoea agglomerans SP1.

Authors:  C A Francis; A Y Obraztsova; B M Tebo
Journal:  Appl Environ Microbiol       Date:  2000-02       Impact factor: 4.792

3.  In situ bioreduction of uranium (VI) to submicromolar levels and reoxidation by dissolved oxygen.

Authors:  Wei-Min Wu; Jack Carley; Jian Luo; Matthew A Ginder-Vogel; Erick Cardenas; Mary Beth Leigh; Chiachi Hwang; Shelly D Kelly; Chuanmin Ruan; Liyou Wu; Joy Van Nostrand; Terry Gentry; Kenneth Lowe; Tonia Mehlhorn; Sue Carroll; Wensui Luo; Matthew W Fields; Baohua Gu; David Watson; Kenneth M Kemner; Terence Marsh; James Tiedje; Jizhong Zhou; Scott Fendorf; Peter K Kitanidis; Philip M Jardine; Craig S Criddle
Journal:  Environ Sci Technol       Date:  2007-08-15       Impact factor: 9.028

4.  Systems biology guided by XCMS Online metabolomics.

Authors:  Tao Huan; Erica M Forsberg; Duane Rinehart; Caroline H Johnson; Julijana Ivanisevic; H Paul Benton; Mingliang Fang; Aries Aisporna; Brian Hilmers; Farris L Poole; Michael P Thorgersen; Michael W W Adams; Gregory Krantz; Matthew W Fields; Paul D Robbins; Laura J Niedernhofer; Trey Ideker; Erica L Majumder; Judy D Wall; Nicholas J W Rattray; Royston Goodacre; Luke L Lairson; Gary Siuzdak
Journal:  Nat Methods       Date:  2017-04-27       Impact factor: 28.547

5.  Induction of SOS genes of Escherichia coli by chromium compounds.

Authors:  M Llagostera; S Garrido; R Guerrero; J Barbé
Journal:  Environ Mutagen       Date:  1986

6.  Metabolomics: beyond biomarkers and towards mechanisms.

Authors:  Caroline H Johnson; Julijana Ivanisevic; Gary Siuzdak
Journal:  Nat Rev Mol Cell Biol       Date:  2016-03-16       Impact factor: 94.444

Review 7.  A retrospective: use of Escherichia coli as a vehicle to study phospholipid synthesis and function.

Authors:  William Dowhan
Journal:  Biochim Biophys Acta       Date:  2012-08-14

8.  METLIN: A Technology Platform for Identifying Knowns and Unknowns.

Authors:  Carlos Guijas; J Rafael Montenegro-Burke; Xavier Domingo-Almenara; Amelia Palermo; Benedikt Warth; Gerrit Hermann; Gunda Koellensperger; Tao Huan; Winnie Uritboonthai; Aries E Aisporna; Dennis W Wolan; Mary E Spilker; H Paul Benton; Gary Siuzdak
Journal:  Anal Chem       Date:  2018-02-09       Impact factor: 6.986

9.  Sulfate and thiosulfate transport in Escherichia coli K-12: evidence for a functional overlapping of sulfate- and thiosulfate-binding proteins.

Authors:  A Sirko; M Zatyka; E Sadowy; D Hulanicka
Journal:  J Bacteriol       Date:  1995-07       Impact factor: 3.490

10.  Rapid quantification of mutant fitness in diverse bacteria by sequencing randomly bar-coded transposons.

Authors:  Kelly M Wetmore; Morgan N Price; Robert J Waters; Jacob S Lamson; Jennifer He; Cindi A Hoover; Matthew J Blow; James Bristow; Gareth Butland; Adam P Arkin; Adam Deutschbauer
Journal:  MBio       Date:  2015-05-12       Impact factor: 7.867

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  1 in total

1.  Experimental and Analytical Approaches for Improving the Resolution of Randomly Barcoded Transposon Insertion Sequencing (RB-TnSeq) Studies.

Authors:  Andrew J Borchert; Alissa Bleem; Gregg T Beckham
Journal:  ACS Synth Biol       Date:  2022-06-03       Impact factor: 5.249

  1 in total

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