Evidence map›Paper›PMID 37098913›Full record

ArticleMicrobiology spectrum2023

Carryover Contamination-Controlled Amplicon Sequencing Workflow for Accurate Qualitative and Quantitative Detection of Pathogens: a Case Study on SARS-CoV-2.

Lifen Gao, Lun Li, Bin Fang, Zhiwei Fang, Yanghai Xiang, Min Zhang, Junfei Zhou, Huiyin Song, Lihong Chen, Tiantian Li and 4 more

Abstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Lifen Gao *Institute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Lun Li *Institute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Bin Fang *Hubei Provincial Centers for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China.
Zhiwei FangInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Yanghai XiangYueyang Central Hospital, Yueyang, Hunan, People's Republic of China.
Min ZhangYueyang Central Hospital, Yueyang, Hunan, People's Republic of China.
Junfei ZhouInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Huiyin SongInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Lihong ChenInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Tiantian LiInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Huafeng XiaoInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Renjing WanInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.
Yongzhong JiangHubei Provincial Centers for Disease Control and Prevention, Wuhan, Hubei, People's Republic of China.
Hai PengInstitute for Systems Biology, Jianghan University, Wuhan, Hubei, People's Republic of China.ORCID 0000-0001-7827-3322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carryover contamination during amplicon sequencing workflow (AMP-Seq) put the accuracy of the high-throughput detection for pathogens at risk. The purpose of this study is to develop a carryover contaminations-controlled AMP-Seq (ccAMP-Seq) workflow to enable accurate qualitative and quantitative detection for pathogens. By using the AMP-Seq workflow to detect SARS-CoV-2, Aerosols, reagents and pipettes were identified as potential sources of contaminations and ccAMP-Seq was then developed. ccAMP-Seq used filter tips and physically isolation of experimental steps to avoid cross contamination, synthetic DNA spike-ins to compete with contaminations and quantify SARS-CoV-2, dUTP/uracil DNA glycosylase system to digest the carryover contaminations, and a new data analysis procedure to remove the sequencing reads from contaminations. Compared to AMP-Seq, the contamination level of ccAMP-Seq was at least 22-folds lower and the detection limit was also about an order of magnitude lower-as low as one copy/reaction. By testing the dilution series of SARS-CoV-2 nucleic acid standard, ccAMP-Seq showed 100% sensitivity and specificity. The high sensitivity of ccAMP-Seq was further confirmed by the detection of SARS-CoV-2 from 62 clinical samples. The consistency between qPCR and ccAMP-Seq was 100% for all the 53 qPCR-positive clinical samples. Seven qPCR-negative clinical samples were found to be positive by ccAMP-Seq, which was confirmed by extra qPCR tests on subsequent samples from the same patients. This study presents a carryover contamination-controlled, accurate qualitative and quantitative amplicon sequencing workflow that addresses the critical problem of pathogen detection for infectious diseases.

Indexed as

COVID-19SARS-CoV-2High-Throughput Nucleotide SequencingHumansSensitivity and SpecificityWorkflowamplicon sequencingcarryover contaminationdUTP/UDGSARS-CoV-2synthetic DNA spike-ins

Identifiers

PMID37098913
PMCPMC10269707

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.