Mechanistically Guided Combinatorial Coding Based on Strand Displacement Probes for Multiplex Pathogen Variant Discrimination

ABSTRACT Accurate and scalable discrimination of closely related genetic variants at single‐nucleotide resolution remains challenge in molecular diagnostics, particularly under multiplexed conditions. Herein, we present a mechanistically guided Color‐Coding Strategy for Multiple Variants Based on Single‐Mutation‐Responsive Strand‐Displacement Padlock Probes that enables combinatorial color‐coded identification of genetic variants with minimal parallel reactions. By integrating multiple isothermal amplification reactions ( n ) with multichannel strand displacement probes (m), the system establishes a theoretical n ‐dimensional coding framework capable of resolving up to variants in a single assay. Each variant is uniquely encoded by an “ n ‐color codon” and automatically decoded via a programmable algorithm. Using SARS‐CoV‐2 as a model, we identified up to 15 variants using only three reaction tubes across RNA, synthetic DNA, pseudovirus, and clinical nasopharyngeal swabs ( n = 76). In clinical evaluation, the assay achieved 100% positive agreement with RT‐qPCR for SARS‐CoV‐2‐positive specimens and successfully assigned variant identities to 72 of 76 samples (94.7%). The platform achieves a reduced reaction number, experimental complexity, and cost compared to conventional approaches. Owing to its modular and programmable design, this strategy is readily adaptable to emerging variants, demonstrating its potential for pathogen surveillance, and genetic variant analysis.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2026-07-30
DOI
https://doi.org/10.1002/anie.9168476
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Mechanistically Guided Combinatorial Coding Based on Strand Displacement Probes for Multiplex Pathogen Variant Discrimination

Rujian Zhao, Yan Du, Shixing Tang, Bingling Li et al.
Angewandte Chemie International Edition
Advanced biosensing and bioanalysis techniques
article

Mechanistically Guided Combinatorial Coding Based on Strand Displacement Probes for Multiplex Pathogen Variant Discrimination

Rujian Zhao, Yan Du, Shixing Tang, Bingling Li, Baiyang Lu, Li Dong, Huiying Lu, Chunxu Yu, Yao Xiao, Lulu Guo, Yidan Tang
article en

Abstract

ABSTRACT Accurate and scalable discrimination of closely related genetic variants at single‐nucleotide resolution remains challenge in molecular diagnostics, particularly under multiplexed conditions. Herein, we present a mechanistically guided Color‐Coding Strategy for Multiple Variants Based on Single‐Mutation‐Responsive Strand‐Displacement Padlock Probes that enables combinatorial color‐coded identification of genetic variants with minimal parallel reactions. By integrating multiple isothermal amplification reactions ( n ) with multichannel strand displacement probes (m), the system establishes a theoretical n ‐dimensional coding framework capable of resolving up to variants in a single assay. Each variant is uniquely encoded by an “ n ‐color codon” and automatically decoded via a programmable algorithm. Using SARS‐CoV‐2 as a model, we identified up to 15 variants using only three reaction tubes across RNA, synthetic DNA, pseudovirus, and clinical nasopharyngeal swabs ( n = 76). In clinical evaluation, the assay achieved 100% positive agreement with RT‐qPCR for SARS‐CoV‐2‐positive specimens and successfully assigned variant identities to 72 of 76 samples (94.7%). The platform achieves a reduced reaction number, experimental complexity, and cost compared to conventional approaches. Owing to its modular and programmable design, this strategy is readily adaptable to emerging variants, demonstrating its potential for pathogen surveillance, and genetic variant analysis.

Angewandte Chemie International Edition
Weifang Medical University (CN), University of Science and Technology of China (CN), Changchun Institute of Applied Chemistry (CN), Second Hospital of Shandong University (CN), Hefei Material Science and Technology Center (CN), Southern Medical University (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 15%
Advanced biosensing and bioanalysis techniques
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