Metal-Tannic Acid Nanospheres Empowering DNA Nanoarchitectures for Multimodal Detection of Low-Abundance Pesticide-Resistance Genes

Rapid and on-site identification of pesticide-resistant genes (PRGs), especially low-abundance single-nucleotide mutations (SNMs) concealed within wild-type sequences, is vital for precision agriculture. However, existing bioassays face challenges in achieving sufficient specificity to distinguish mutations while maintaining sensitivity to detect mutant alleles at 0.1% frequency and multiplexing capability. Here, we report an ultrasensitive, multimodal platform that couples programmable DNA nanoarchitectures (DNAarch) with metal-tannic acid (MTA; M = Co, Fe, Mn) nanospheres, delivering instant visual readouts and high-fidelity photoelectrochemical (PEC) qualification. In the MTA-RCA@DNAarch construct, MTA nanospheres bind strongly to ultralong single-stranded rolling circle amplification (ssRCA) product-engineered DNAarch, imparting adhesion, pH-responsiveness, and photothermal/colorimetric signatures. Using three SNMs in the ryanodine-receptor gene of <i>Plutella xylostella</i> as models, target recognition triggers an RCA reaction, followed by selective MTA binding to the corresponding ssRCA amplicons, enabling on-site mutation screening via photothermal and colorimetric shifts. Under acidic conditions, the release of Co<sup>2+</sup>/Fe<sup>2+</sup>/Mn<sup>2+</sup> modulates the photoelectrode surface charge, boosting PEC signals for quantitative analysis. This assay achieves attomolar detection limits and discriminates SNMs present just at 0.01% within a wild-type sequence, while supporting multiplex operation. Field-sample validation confirms its robustness, positioning this visual/PEC multimodal platform as a powerful, real-time tool for monitoring PRG evolution in agricultural ecosystems.

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Journal
Analytical Chemistry
Published
2025-09-23
DOI
https://doi.org/10.1021/acs.analchem.5c02751
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
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article

Metal-Tannic Acid Nanospheres Empowering DNA Nanoarchitectures for Multimodal Detection of Low-Abundance Pesticide-Resistance Genes

Z.G. Wang, Jingming Gong, Mingxia Meng, Qingfeng Yao et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

Metal-Tannic Acid Nanospheres Empowering DNA Nanoarchitectures for Multimodal Detection of Low-Abundance Pesticide-Resistance Genes

Z.G. Wang, Jingming Gong, Mingxia Meng, Qingfeng Yao, Lijuan Liu, Shuyue Luo
article en

Abstract

Rapid and on-site identification of pesticide-resistant genes (PRGs), especially low-abundance single-nucleotide mutations (SNMs) concealed within wild-type sequences, is vital for precision agriculture. However, existing bioassays face challenges in achieving sufficient specificity to distinguish mutations while maintaining sensitivity to detect mutant alleles at 0.1% frequency and multiplexing capability. Here, we report an ultrasensitive, multimodal platform that couples programmable DNA nanoarchitectures (DNAarch) with metal-tannic acid (MTA; M = Co, Fe, Mn) nanospheres, delivering instant visual readouts and high-fidelity photoelectrochemical (PEC) qualification. In the MTA-RCA@DNAarch construct, MTA nanospheres bind strongly to ultralong single-stranded rolling circle amplification (ssRCA) product-engineered DNAarch, imparting adhesion, pH-responsiveness, and photothermal/colorimetric signatures. Using three SNMs in the ryanodine-receptor gene of <i>Plutella xylostella</i> as models, target recognition triggers an RCA reaction, followed by selective MTA binding to the corresponding ssRCA amplicons, enabling on-site mutation screening via photothermal and colorimetric shifts. Under acidic conditions, the release of Co<sup>2+</sup>/Fe<sup>2+</sup>/Mn<sup>2+</sup> modulates the photoelectrode surface charge, boosting PEC signals for quantitative analysis. This assay achieves attomolar detection limits and discriminates SNMs present just at 0.01% within a wild-type sequence, while supporting multiplex operation. Field-sample validation confirms its robustness, positioning this visual/PEC multimodal platform as a powerful, real-time tool for monitoring PRG evolution in agricultural ecosystems.

Analytical ChemistryVol. 97(39)
Central China Normal University (CN), Green Chemistry (PL)
Openalex Percentile: Top 77%
Advanced biosensing and bioanalysis techniques
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