4.7 Review

Synthetic biology for microbial heavy metal biosensors

Journal

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
Volume 410, Issue 4, Pages 1191-1203

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-017-0751-6

Keywords

Synthetic biology; Microbial whole-cell biosensor; Heavy metals

Funding

  1. Next-Generation BioGreen21 Program (SSAC), Rural Development Administration, Republic of Korea [PJ01111802]
  2. KRIBB Research Initiative Program
  3. National Research Foundation of Korea - Ministry of Science and ICT, Republic of Korea [2015R1A2A2A01005402]

Ask authors/readers for more resources

Using recombinant DNA technology, various whole-cell biosensors have been developed for detection of environmental pollutants, including heavy metal ions. Whole-cell biosensors have several advantages: easy and inexpensive cultivation, multiple assays, and no requirement of any special techniques for analysis. In the era of synthetic biology, cutting-edge DNA sequencing and gene synthesis technologies have accelerated the development of cell-based biosensors. Here, we summarize current technological advances in whole-cell heavy metal biosensors, including the synthetic biological components (bioparts), sensing and reporter modules, genetic circuits, and chassis cells. We discuss several opportunities for improvement of synthetic cell-based biosensors. First, new functional modules must be discovered in genome databases, and this knowledge must be used to upgrade specific bioparts through molecular engineering. Second, modules must be assembled into functional biosystems in chassis cells. Third, heterogeneity of individual cells in the microbial population must be eliminated. In the perspectives, the development of whole-cell biosensors is also discussed in the aspects of cultivation methods and synthetic cells.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available