Detection method for next generation sequencing of parainfluenza virus whole genome

Abstract

The invention provides a detection method for a parainfluenza virus whole genome. The method comprises the four steps of enrichment of nucleic acid of the parainfluenza virus of the respiratory tract,base establishment, high-flux sequencing and biological information analysis. Gathering of the nucleic acid of the parainfluenza virus of the respiratory tract is a core of the method, nucleic acid of a sample virus is extracted, a parainfluenza virus specificity common primer is used for gathering through an Overlap PCR method, with help of Qubit quantification, the nucleic acid is used for baseestablishment, and through results of the high-flux sequencing and bioinformatics analysis, it is proved that the reads number of the virus is increased to 90% or above from 0.1 or below during treatment of a common method. According to the detection method, infection of the sample parainfluenza virus can be quickly detected, the coverage rate of a whole genome sequence of the virus is increased,and the sequencing cost is greatly lowered.

Description

Technical field: [0001] The invention relates to the field of biotechnology, and relates to a detection method for second-generation sequencing of the whole genome of parainfluenza virus. Background technique: [0002] Human parainfluenza viruses (HPIVs) can cause acute respiratory tract infection (ARTI) in humans, and their pathogenicity is second only to respiratory syncytial virus (RSV). HPIVs can cause recurrent episodes of upper respiratory tract infections, manifested as colds and sore throats, and recurrent infections of severe lower respiratory tract disease manifested as pneumonia, bronchitis, and bronchiolitis, especially in children, the elderly, and immunocompromised populations . HPIVs have been identified into four types including HPIV1, HPIV2, HPIV3 and HPIV4. Different types of HPIVs are related to the season, severity and prevalence of the disease. For example, HPIV1 and HPIV2 are more prevalent in autumn and early winter, HPIV3 is more common in spring an...

AI Technical Summary

Problems solved by technology

In the next-generation sequencing of the direct library construction of conventional respiratory original samples, in order to increase the coverage of viral nucleic acid, the method of increasing the sequencing depth is often adopted, but more than 99% of the massive sequencing data are found to be the contamination of the host’s gene sequence, especially the low Copy virus samples, the number of reads of virus HPIVs is less than 0.01%, such massive data analysis not only increases the detection cost but also consumes a lot of time and server space

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