Machine-learning guided discovery of emergent antimicrobial activity from dynamic covalent assemblies(2b-RAD-M)

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Authors: Yuanfeng Li, Ji-yang Chen, YinZi Piao, Zhanpei Bai, haoyue wu, Yu-han Zhao, Yuqin Wang, Haibo Zhang, Xiufeng Huang, Tieli Zhou, Jian Li, Linqi Shi
+1 more Yong Liu
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Abstract

Species-level oral microbiota profiling was performed using 2bRAD-M sequencing in a Streptococcus mutans-induced rat caries model. This dataset includes 24 biological samples: six healthy controls, six PBS-treated caries controls, six A5B5-treated samples and six chlorhexidine (CHX)-treated samples. Abundance.filtered.anno.csv contains all 24 samples in one annotated species-by-sample relative-abundance matrix. sample_metadata.csv provides the corresponding sample groups and original sample identifiers. Methods documented for the original samples: Library preparation and sequencing were conducted by OE Biotech (Qingdao, China) using a Type IIB restriction enzyme-based 2bRAD-M workflow, including BcgI digestion, adaptor ligation, PCR amplification, barcode indexing, and sequencing on the Illumina NovaSeq PE150 platform. For downstream analysis, quality-controlled 2bRAD tags were mapped to a species-resolved 2bRAD marker database constructed from GTDB and Ensembl microbial genomes; candidate taxa were filtered using a Gscore threshold (>5) to reduce false positives, and species-level relative abundances were computed based on mapped reads and species-specific marker counts according to published 2bRAD-M protocols.

Fields of Study & Subjects

Oral microbiology and periodontitis research Antimicrobial agents and applications Machine Learning in Materials Science

Publication details

Journal / source
Figshare
Publication date
4 March 2026
Language
EN
Document type
Dataset