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Identification of Newcastle disease virus P-gene editing using next-generation sequencing.

ABSTRACT: Avian paramyxoviruses 1 has the ability to edit its P gene to generate three amino-coterminal proteins (P, V and W), but its kinetic change is unclear. In this study, next-generation sequencing (NGS) was used to analyze the P-gene editing of Newcastle disease virus (NDV). Transcriptome analysis of chicken embryonic tissues and bursa of fabricius showed the P-gene editing frequencies were 45.46-52.70%. To investigate the rules of P-gene editing along time, the ratio of PVW was determined by PCR based deep sequencing at multiple time points in cells infected with velogenic and lentogenic strain respectively. The results confirmed similar editing frequencies with transcriptome data and the PVW ratios were stable along time among different NDVs, but had a greater V-gene transcript on velogenic strain infection (P<0.001), which were different from previous reports. Also, it was shown that the number of inserted G residues in P-derived transcripts was not limited to +9G, and +10G transcripts were identified. These results confirmed the NDV P-gene editing frequencies and provided a novel point of view on NDV P-gene editing with NDV virulence.

SUBMITTER: Chen X

PROVIDER: S-EPMC7468068 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Identification of Newcastle disease virus P-gene editing using next-generation sequencing.

Chen Xi X Jia Yanqing Y Ren Shanhui S Chen Siqi S Wang Xiangwei X Gao Xiaolong X Wang Chongyang C Adam Fathalrhman E A FEA Wang Xinglong X Yang Zengqi Z

The Journal of veterinary medical science 20200706 8

Avian paramyxoviruses 1 has the ability to edit its P gene to generate three amino-coterminal proteins (P, V and W), but its kinetic change is unclear. In this study, next-generation sequencing (NGS) was used to analyze the P-gene editing of Newcastle disease virus (NDV). Transcriptome analysis of chicken embryonic tissues and bursa of fabricius showed the P-gene editing frequencies were 45.46-52.70%. To investigate the rules of P-gene editing along time, the ratio of PVW was determined by PCR b ...[more]

PMID: 32624548

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Project description:BACKGROUND:Newcastle disease (ND) outbreaks are global challenges to the poultry industry. Effective management requires rapid identification and virulence prediction of the circulating Newcastle disease viruses (NDV), the causative agent of ND. However, these diagnostics are hindered by the genetic diversity and rapid evolution of NDVs. METHODS:An amplicon sequencing (AmpSeq) workflow for virulence and genotype prediction of NDV samples using a third-generation, real-time DNA sequencing platform is described here. 1D MinION sequencing of barcoded NDV amplicons was performed using 33 egg-grown isolates, (15 NDV genotypes), and 15 clinical swab samples collected from field outbreaks. Assembly-based data analysis was performed in a customized, Galaxy-based AmpSeq workflow. MinION-based results were compared to previously published sequences and to sequences obtained using a previously published Illumina MiSeq workflow. RESULTS:For all egg-grown isolates, NDV was detected and virulence and genotype were accurately predicted. For clinical samples, NDV was detected in ten of eleven NDV samples. Six of the clinical samples contained two mixed genotypes as determined by MiSeq, of which the MinION method detected both genotypes in four samples. Additionally, testing a dilution series of one NDV isolate resulted in NDV detection in a dilution as low as 101 50% egg infectious dose per milliliter. This was accomplished in as little as 7 min of sequencing time, with a 98.37% sequence identity compared to the expected consensus obtained by MiSeq. CONCLUSION:The depth of sequencing, fast sequencing capabilities, accuracy of the consensus sequences, and the low cost of multiplexing allowed for effective virulence prediction and genotype identification of NDVs currently circulating worldwide. The sensitivity of this protocol was preliminary tested using only one genotype. After more extensive evaluation of the sensitivity and specificity, this protocol will likely be applicable to the detection and characterization of NDV.

Dataset Information

Identification of Newcastle disease virus P-gene editing using next-generation sequencing.

Publications

Identification of Newcastle disease virus P-gene editing using next-generation sequencing.

Similar Datasets

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