Bacteria-Based Biosensor Detects Zinc Deficiency
|
By LabMedica International staff writers Posted on 14 Sep 2015 |

Image: Plate containing E. coli producing a purple pigment indicative of low levels of zinc. The bacterium could be used to detect nutritional deficiencies in resource-limited areas of the world (Photo courtesy of Rob Felt, Georgia Institute of Technology).
A series of genetic engineering steps led to the development of a bacterial biosensor capable of visually distinguishing levels of zinc, a critical micronutrient.
Micronutrient deficiencies, including zinc deficiency, are responsible for hundreds of thousands of deaths annually. A key obstacle to allocating scarce treatment resources is the ability to measure population blood micronutrient status inexpensively and quickly enough to identify those who most need treatment.
To overcome this obstacle a team of molecular microbiologists at the Georgia Institute of Technology (Atlanta, USA) developed a novel approach for inexpensive screening of micronutrients, with zinc being the test case.
Towards this end, the investigators genetically engineered a strain of Escherichia coli to produce different colored pigments (violacein, lycopene, and beta-carotene) in response to different extracellular zinc levels. Genes for the pigments were taken from other organisms and inserted into the E. coli on a plasmid. The red and orange colors, lycopene and beta-carotene, were produced by genes taken from Pantoea anantis, a plant pathogen. The purple color, violacein, came from a soil bacterium.
Obtaining discrete color states in the carotenoid pathway required precise engineering of the E. coli's metabolism to prevent a reaction at low zinc concentrations but allow complete reaction at higher concentrations, and all under the constraints of the bacterium's natural regulator limitations. A combination of gene dosage, post-transcriptional, and post-translational regulation was necessary to allow visible color change over physiologically relevant ranges representing a small fraction of the regulator’s dynamic response range, with further tuning possible by modulation of precursor availability.
In practice, a pellet of the engineered bacteria was mixed with the plasma from a human subject. The E. coli multiplied, producing the color corresponding to the level of zinc in the sample. Purple corresponded to dangerously low levels, while red indicated borderline levels, and orange normal levels. The color was readily visible without any diagnostic or other electronic equipment.
"We think this is just enough technology to meet the needs," said Dr. Mark Styczynski, assistant professor of chemical and bio-molecular engineering at the Georgia Institute of Technology. "Information we can provide could one day help nutritional epidemiologists and non-governmental organizations determine the populations of people that may need interventions to address nutritional deficiencies."
"The general idea of bio-sensing is certainly out there, but we have taken the step of developing a system that does not require equipment in the field," said Dr. Styczynski. "We believe this will work well in low-resource areas. This is a convincing proof-of-principle, and we hope to begin the translational aspects of this system based on what we have already shown. It is a matter now of reducing this to practice for something that will ultimately be useful."
The novel assay for zinc deficiency was described in a paper published in the September 2015 issue of the journal Metabolic Engineering.
Related Links:
Georgia Institute of Technology
Micronutrient deficiencies, including zinc deficiency, are responsible for hundreds of thousands of deaths annually. A key obstacle to allocating scarce treatment resources is the ability to measure population blood micronutrient status inexpensively and quickly enough to identify those who most need treatment.
To overcome this obstacle a team of molecular microbiologists at the Georgia Institute of Technology (Atlanta, USA) developed a novel approach for inexpensive screening of micronutrients, with zinc being the test case.
Towards this end, the investigators genetically engineered a strain of Escherichia coli to produce different colored pigments (violacein, lycopene, and beta-carotene) in response to different extracellular zinc levels. Genes for the pigments were taken from other organisms and inserted into the E. coli on a plasmid. The red and orange colors, lycopene and beta-carotene, were produced by genes taken from Pantoea anantis, a plant pathogen. The purple color, violacein, came from a soil bacterium.
Obtaining discrete color states in the carotenoid pathway required precise engineering of the E. coli's metabolism to prevent a reaction at low zinc concentrations but allow complete reaction at higher concentrations, and all under the constraints of the bacterium's natural regulator limitations. A combination of gene dosage, post-transcriptional, and post-translational regulation was necessary to allow visible color change over physiologically relevant ranges representing a small fraction of the regulator’s dynamic response range, with further tuning possible by modulation of precursor availability.
In practice, a pellet of the engineered bacteria was mixed with the plasma from a human subject. The E. coli multiplied, producing the color corresponding to the level of zinc in the sample. Purple corresponded to dangerously low levels, while red indicated borderline levels, and orange normal levels. The color was readily visible without any diagnostic or other electronic equipment.
"We think this is just enough technology to meet the needs," said Dr. Mark Styczynski, assistant professor of chemical and bio-molecular engineering at the Georgia Institute of Technology. "Information we can provide could one day help nutritional epidemiologists and non-governmental organizations determine the populations of people that may need interventions to address nutritional deficiencies."
"The general idea of bio-sensing is certainly out there, but we have taken the step of developing a system that does not require equipment in the field," said Dr. Styczynski. "We believe this will work well in low-resource areas. This is a convincing proof-of-principle, and we hope to begin the translational aspects of this system based on what we have already shown. It is a matter now of reducing this to practice for something that will ultimately be useful."
The novel assay for zinc deficiency was described in a paper published in the September 2015 issue of the journal Metabolic Engineering.
Related Links:
Georgia Institute of Technology
Latest BioResearch News
- Lung Cancer Study Reveals Cellular Program Behind Therapy Resistance
- Tumor Genome Marker May Predict Treatment Benefit in Pediatric Cancers
- Lysosomal Gene Defect Linked to Severe Childhood Brain Disorders
- Genetic Testing Identifies Greater Inherited Sudden Cardiac Arrest Risk in Younger Individuals
- Hidden 'Jumping Gene' Variant Linked to Higher Pancreatic Cancer Risk
- Common White Blood Cells Produce Schizophrenia-Linked Protein
- Nanopore Method Captures RNA Folding at Single-Molecule Resolution
- Tumor Microenvironment Marker Linked to Worse Survival in Solid Tumors
- Hidden Immune Gene Defect May Explain Kaposi Sarcoma Susceptibility
- Genetic Markers May Help Predict Amputation Risk in Peripheral Artery Disease
- Gene Signature Shows Promise for Depression Biomarker Testing
- AI-Driven Tumor Profiling Initiative Targets Precision Therapy Development
- Researchers Map Protein and Glycosylation Across 15 Human Body Fluids
- Telomere Length Abnormalities Linked to Lymphoma Development
- Biomarker Signals Chemotherapy Resistance in Relapsed Small Cell Lung Cancer
- Inflammatory Gene Signature Links Metabolic Disease to Pancreatic Cancer Recurrence
Channels
Clinical Chemistry
view channel
Saliva-Based Test Detects Biochemical Signs of Sleep Loss
Acute sleep loss impairs cognition and motor skills, raising safety risks that resemble alcohol intoxication. Clinicians currently lack an objective biochemical test to determine when someone is dangerously... Read more
Simple Dual-Tau Blood Test Detects and Stages Alzheimer’s Disease
Alzheimer’s disease is typically confirmed and staged with positron emission tomography scans and cerebrospinal fluid testing, procedures that are costly and invasive. Broader access to minimally invasive... Read more
Alzheimer’s Blood Biomarkers Linked to Early Cognitive Differences Before Dementia
Blood-based screening for Alzheimer’s disease offers a noninvasive, lower-cost alternative to brain imaging or spinal fluid testing, yet its ability to flag the earliest cognitive changes has been unclear.... Read moreMolecular Diagnostics
view channel
Plasma Protein Signature Predicts Lung Cancer Risk Up to Five Years Ahead
Lung cancer remains a leading cause of cancer death, and many cases are detected only after symptoms appear. Current screening programs largely target people with a history of smoking, leaving other at-risk... Read more
Circulating Tumor DNA Testing Guides Chemotherapy, Reduces Relapse in Colon Cancer
Adjuvant therapy decisions after curative surgery for colon cancer remain difficult, as conventional clinicopathologic factors often fail to capture residual disease risk. Liquid biopsy approaches that... Read moreHematology
view channel
Next-Generation Hematology Platform Streamlines High-Complexity Lab Workflows
Sysmex America (Chicago, IL, USA) has introduced the next generation XR-Series, centered on the XR-10 Automated Hematology Module for high-complexity laboratories. The platform builds on the widely used... Read more
Blood Eosinophil Count May Predict Cancer Immunotherapy Response and Toxicity
Immune checkpoint inhibitors have improved outcomes across many cancers, yet only a subset of patients derive durable benefit and biomarkers to guide treatment remain limited. Eosinophils, best known for... Read moreImmunology
view channelAptamer-Based Biosensor Enables Mutation-Resilient SARS-CoV-2 Detection
Rapid evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can undermine existing molecular diagnostics, especially when assays target small viral components. Double-antibody sandwich... Read more
Study Points to Autoimmune Pathway Behind Long COVID Symptoms
Long COVID leaves many SARS-CoV-2 survivors with persistent fatigue, cognitive issues, palpitations, and musculoskeletal pain for months or years. Estimates cited in new research suggest 4%–20% of infected... Read more
Metabolic Biomarker Distinguishes Latent from Active Tuberculosis and Tracks Treatment Response
Tuberculosis (TB) remains the world’s leading infectious killer, with 10.8 million cases and 1.25 million deaths recorded globally in 2023. Yet many infected individuals never develop active disease, underscoring... Read moreMicrobiology
view channel
Gut Microbiome Signatures Help Identify Risk of IBD Progression
Inflammatory bowel disease (IBD), encompassing Crohn’s disease and ulcerative colitis, is a chronic relapsing inflammatory disorder of the gastrointestinal tract with highly variable outcomes.... Read more
FDA-Cleared Gastrointestinal Panel Detects 24 Pathogen Targets
Clinical guidelines support testing based on patient presentation in suspected gastrointestinal infections, yet available technologies have often forced laboratories to choose between panels that are too... Read morePathology
view channel
3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
Colorectal cancer remains a leading cause of cancer death, and clinical decision-making is complicated by marked intra-tumor heterogeneity. Conventional bulk sequencing averages molecular signals across... Read more
Blood-Based Method Tracks Gene Activity in the Living Brain
Real-time measurement of gene activity in the brain has been limited by assays requiring destructive tissue sampling. Tracking active genes could reveal how the body responds to environmental factors,... Read moreTechnology
view channel
AI Platform Links Biomarker Results to Cancer Clinical Trials and Guidelines
Oncology teams must manage growing volumes of genomic data, rapidly evolving clinical trial options, and frequently updated care guidelines, all within tight clinic schedules. Translating complex tumor... Read more
Agentic AI Platform Supports Genomic Decision-Making in Oncology
Oncology care teams increasingly face the challenge of managing complex molecular diagnostics, evolving treatment options, and extensive electronic health record documentation. Translating multimodal data... Read moreIndustry
view channel








