Ratiometric Gas Reporting: A Nondisruptive Approach to Monitor Gene Expression in Soils

Hsiao Ying Cheng, Caroline A. Masiello, Ilenne Del Valle, Xiaodong Gao, George N. Bennett, Jonathan J. Silberg

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Fluorescent proteins are ubiquitous tools that are used to monitor the dynamic functions of natural and synthetic genetic circuits. However, these visual reporters can only be used in transparent settings, a limitation that complicates nondisruptive measurements of gene expression within many matrices, such as soils and sediments. We describe a new ratiometric gas reporting method for nondisruptively monitoring gene expression within hard-to-image environmental matrices. With this approach, C2H4 is continuously synthesized by ethylene forming enzyme to provide information on viable cell number, and CH3Br is conditionally synthesized by placing a methyl halide transferase gene under the control of a conditional promoter. We show that ratiometric gas reporting enables the creation of Escherichia coli biosensors that report on acylhomoserine lactone (AHL) autoinducers used for quorum sensing by Gram-negative bacteria. Using these biosensors, we find that an agricultural soil decreases the bioavailable concentration of a long-chain AHL up to 100-fold. We also demonstrate that these biosensors can be used in soil to nondisruptively monitor AHLs synthesized by Rhizobium leguminosarum and degraded by Bacillus thuringiensis. Finally, we show that this new reporting approach can be used in Shewanella oneidensis, a bacterium that lives in sediments.

Original languageEnglish
Pages (from-to)903-911
Number of pages9
JournalACS Synthetic Biology
Volume7
Issue number3
DOIs
StatePublished - Mar 16 2018
Externally publishedYes

Funding

We are grateful for financial support from the W. M. Keck Foundation, Rice University, and the Taiwan Ministry of Education Scholarship. Support for this research was also provided by the NSF Long-Term Ecological Research Program (DEB 1027253) at the Kellogg Biological Station and by Michigan State University AgBioResearch, and by the US DOE Office of Science (DE-FCO2-07ER64494) and Office of Energy Efficiency and Renewable Energy (DE-ACO5-76RL01830) to the DOE Great Lakes Bioenergy Research Center.

Keywords

  • biosensor
  • gene expression
  • reporter
  • signaling
  • soil
  • synthetic biology

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