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Detecting E. coli strains using molecular electronics

Date:
November 5, 2018
Source:
University of California - Davis
Summary:
Electrical engineers have adapted a molecular electronic device called a single-molecule break junction to detect RNA from strains of E. coli known for causing illness.
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Finding a fast and inexpensive way to detect specific strains of bacteria and viruses is critical to food safety, water quality, environmental protection and human health. However, current methods for detecting illness-causing strains of bacteria such as E. coli require either time-intensive biological cell cultures or DNA amplification approaches that rely on expensive laboratory equipment.

Now, Josh Hihath, an associate professor of electrical and computer engineering at the University of California, Davis, and colleagues at the University of Washington and TOBB University of Economics and Technology in Ankara, Turkey have adapted a molecular electronic device called a single-molecule break junction to detect RNA from strains of E. coli known for causing illness. The findings were published online today (Nov. 5) in the journal Nature Nanotechnology.

"The reliable, efficient and inexpensive detection and identification of specific strains of microorganisms such as E. coli is a grand challenge in biology and the health sciences," said Hihath. "Our technique could pave the way for rapid, straightforward detection of pathogens, antimicrobial resistant bacterial strains and biomarkers for cancer."

Hihath and his team focused on E. coli since it is a common pathogen that could easily be found in the food supply, but might not cause illness in a benign form. The worst strain of E. coli, called E. coli O157:H7, produces a toxic substance called Shiga toxin that causes bloody diarrhea, kidney failure and even death.

Single-molecule break junction devices consist of two metal electrodes with atomically sharp interfaces that are brought into contact in a liquid solution of interest, such as a solution containing RNA sequences from E.coli. As the electrodes are brought into contact and pulled apart, an electrical bias is applied and the current is measured. This process is repeated hundreds or thousands of times to determine the conductance of a single molecule.

"One of the questions we asked is how small of a change in the sequence is needed to cause a meaningful change in the electrical conductance?" said Hihath. "The smallest thing we can change is a single-base, so we decided to see if a single-base change can be measured."

By testing short sequences of RNA bound to DNA with chemical linkers, the team examined an E. coli sequence that would produce Shiga toxin. Their findings showed that changes in the electrical resistance of RNA due to a single-base change could be measured, which would allow them to see not only if a sequence was E.coli, but the specific strain of E.coli that produces Shiga toxin.

"A system that could selectively identify short sequences of DNA or RNA opens up new avenues for developing an electronic sensor platform for a wide range of applications," he adds. "Eventually, we want to get to the point where we can extract RNA samples from real organisms and measure their conductance on a sensing platform."

This work was supported in part by the National Science Foundation.


Story Source:

Materials provided by University of California - Davis. Note: Content may be edited for style and length.


Journal Reference:

  1. Yuanhui Li, Juan M. Artés, Busra Demir, Sumeyye Gokce, Hashem M. Mohammad, Mashari Alangari, M. P. Anantram, Ersin Emre Oren, Joshua Hihath. Detection and identification of genetic material via single-molecule conductance. Nature Nanotechnology, 2018; DOI: 10.1038/s41565-018-0285-x

Cite This Page:

University of California - Davis. "Detecting E. coli strains using molecular electronics." ScienceDaily. ScienceDaily, 5 November 2018. <www.sciencedaily.com/releases/2018/11/181105132907.htm>.
University of California - Davis. (2018, November 5). Detecting E. coli strains using molecular electronics. ScienceDaily. Retrieved November 20, 2024 from www.sciencedaily.com/releases/2018/11/181105132907.htm
University of California - Davis. "Detecting E. coli strains using molecular electronics." ScienceDaily. www.sciencedaily.com/releases/2018/11/181105132907.htm (accessed November 20, 2024).

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