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Breeding by Design for Functional Rice with Genome Editing Technologies

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

A practicable detection system for genetically modified rice by SERS-barcoded nanosensors.

Kun Chen¹, Heyou Han, Zhihui Luo

¹State Key Laboratory of Agricultural Microbiology, College of Science, Huazhong Agricultural University, Wuhan, PR China.

Biosensors & Bioelectronics

|February 21, 2012

Summary

A new SERS-barcoded nanosensor accurately detects genetically modified Bacillus thuringiensis (Bt) rice. This method offers precise identification of transgenic rice, comparable to real-time PCR, and helps prevent false positives.

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Area of Science:

Biotechnology
Analytical Chemistry
Spectroscopy

Background:

Global cultivation of genetically modified (GM) crops necessitates reliable detection methods for GM food and feed.
Surface-enhanced Raman scattering (SERS) spectroscopy is a powerful technique for analyzing biomolecules, including nucleic acids.

Purpose of the Study:

To develop a SERS-barcoded nanosensor for detecting Bacillus thuringiensis (Bt) gene-transformed rice.
To establish a specific and sensitive method for screening transgenic rice varieties.

Main Methods:

A SERS-barcoded nanosensor was created by encapsulating gold nanoparticles with silica and conjugating oligonucleotide strands.
The sensor targeted specific DNA sequences of the cry1A(b) and cry1A(c) fusion gene in Bt rice.
Determination models were built using mixtures of Bt and normal rice for SERS analysis.

Main Results:

The SERS-based method achieved a detection limit of 0.1 pg/mL for Bt gene sequences.
The assay could detect as little as 0.1% (w/w) transgenic Bt rice in mixtures with normal rice.
The sensitivity and accuracy were comparable to real-time PCR.

Conclusions:

The developed SERS-barcoded nanosensor provides precise detection of transgenic rice.
This analytical method serves as an informative supplement to existing techniques, aiding in the avoidance of false positive results.