4.7 Article

Nondestructive Chemical Sensing within Bulk Soil Using 1000 Biosensors Per Gram of Matrix

期刊

ACS SYNTHETIC BIOLOGY
卷 -, 期 -, 页码 -

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acssynbio.2c00083

关键词

biosensor; gas reporter; material; microbe; soil; sediment; synthetic biology

资金

  1. Defense Advanced Research Projects Agency [HR0011-19-2-0019]
  2. Gordon and Betty Moore Foundation
  3. US Department of Energy, Office of Science, through the Genomic Science Program, Office of Biological and Environmental Research at PNNL [FWP 78814]
  4. DOE [DE-AC05-76RLO 1830]

向作者/读者索取更多资源

This study evaluated the effect of matrix hydration on gene expression and found that gas signal could be reported by engineered microbes in a soil matrix through gas concentration. These findings suggest a less disruptive method for monitoring gene expression in environmental samples.
Gene expression can be monitored in hard-to-image environmental materials using gas-reporting biosensors, but these outputs have only been applied in autoclaved matrices that are hydrated with rich medium. To better understand the compatibility of indicator gas reporting with environmental samples, we evaluated how matrix hydration affects the gas signal of an engineered microbe added to a sieved soil. A gas-reporting microbe presented a gas signal in a forest soil (Alfisol) when hydrated to an environmentally relevant osmotic pressure. When the gas signal was concentrated prior to analysis, a biosensor titer of 10(3) cells/gram of soil produced a significant signal when soil was supplemented with halides. A signal was also observed without halide amendment, but a higher cell titer (10(6) cells/gram of soil) was required. A sugar-regulated gas biosensor was able to report with a similar level of sensitivity when added to an unsterilized soil matrix, illustrating how gas concentration enables biosensing within a soil containing environmental microbes. These results establish conditions where engineered microbes can report on gene expression in living environmental matrices with decreased perturbation of the soil environment compared to previously reported approaches, using biosensor titers that are orders of magnitude lower than the number of cells typically observed in a gram of soil.

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