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Title: Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance

Journal Article · · Cell Reports
ORCiD logo [1];  [1];  [1];  [1];  [1];  [1];  [2];  [2];  [2];  [3];  [1];  [4];  [1];  [5];  [6]; ORCiD logo [6]
  1. Univ. of California, San Diego, CA (United States)
  2. Technical Univ. of Denmark, Lyngby (Denmark)
  3. Tata Institute of Fundamental Research (India)
  4. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  5. Queen's Univ., Kingston, ON (Canada)
  6. Univ. of California, San Diego, CA (United States); Technical Univ. of Denmark, Lyngby (Denmark)

Relationships between the genome, transcriptome, and metabolome underlie all evolved phenotypes. However, it has proved difficult to elucidate these relationships because of the high number of variables measured. A recently developed data analytic method for characterizing the transcriptome can simplify interpretation by grouping genes into independently modulated sets (iModulons). Here, we demonstrate how iModulons reveal deep understanding of the effects of causal mutations and metabolic rewiring. We use adaptive laboratory evolution to generate E. coli strains that tolerate high levels of the redox cycling compound paraquat, which produces reactive oxygen species (ROS). We combine resequencing, iModulons, and metabolic models to elucidate six interacting stress-tolerance mechanisms: (1) modification of transport, (2) activation of ROS stress responses, (3) use of ROS-sensitive iron regulation, (4) motility, (5) broad transcriptional reallocation toward growth, and (6) metabolic rewiring to decrease NADH production. This work thus demonstrates the power of iModulon knowledge mapping for evolution analysis.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Scientific User Facilities (SUF); USDOE
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2001157
Alternate ID(s):
OSTI ID: 2422991
Journal Information:
Cell Reports, Vol. 42, Issue 9; ISSN 2211-1247
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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