Transposase-Assisted RNA/DNA Hybrid Co-Tagmentation for Target Meta-Virome of Foodborne Viruses
Danlei Liu,
Zilei Zhang,
Zhiyi Wang,
Liang Xue,
Fei Liu,
Ye Lu,
Shiwei Yu,
Shumin Li,
Huajun Zheng,
Zilong Zhang,
Zhengan Tian
Affiliations
Danlei Liu
Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai 200023, China
Zilei Zhang
Inspection and Quarantine Technology Communication Department, Shanghai Customs College, Shanghai 201204, China
Zhiyi Wang
Shanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China
Liang Xue
State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
Fei Liu
Shandong Mental Health Center, Jinan 250014, China
Ye Lu
Shanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China
Shiwei Yu
Shanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China
Shumin Li
School of Veterinary Medicine, Kansas State University, Manhattan, KS 66502, USA
Huajun Zheng
Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Fudan University, Shanghai 200023, China
Zilong Zhang
Shanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China
Zhengan Tian
Shanghai International Travel Healthcare Center, Shanghai Customs District, Shanghai 200335, China
Foodborne diseases are major public health problems globally. Metagenomics has emerged as a widely used tool for pathogen screening. In this study, we conducted an updated Tn5 transposase-assisted RNA/DNA hybrid co-tagmentation (TRACE) library construction approach. To address the detection of prevalent known foodborne viruses and the discovery of unknown pathogens, we employed both specific primers and oligo-T primers during reverse transcription. The method was validated using clinical samples confirmed by RT-qPCR and compared with standard RNA-seq library construction methods. The mapping-based approach enabled the retrieval of nearly complete genomes (>95%) for the majority of virus genome segments (86 out of 88, 97.73%), with a mean coverage depth of 21,494.53× (ranging from 77.94× to 55,688.58×). Co-infection phenomena involving prevalent genotypes of Norovirus with Astrovirus and Human betaherpesvirus 6B were observed in two samples. The updated TRACE-seq exhibited superior performance in viral reads percentages compared to standard RNA-seq library preparation methods. This updated method has expanded its target pathogens beyond solely Norovirus to include other prevalent foodborne viruses. The feasibility and potential effectiveness of this approach were then evaluated as an alternative method for surveilling foodborne viruses, thus paving the way for further exploration into whole-genome sequencing of viruses.