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An Amplicon-Based Application for the Whole-Genome Sequencing of GI-19 Lineage Infectious Bronchitis Virus Directly from Clinical Samples. | LitMetric

AI Article Synopsis

  • Infectious bronchitis virus (IBV) is a highly contagious disease in chickens that causes severe economic loss in the poultry industry due to its high mutation rate and emergence of new variants.
  • A new approach using next-generation sequencing (NGS) was developed to effectively obtain the complete IBV genome from infected samples, overcoming challenges related to low viral abundance.
  • The method involved designing six primer pairs for long-range PCR and successfully sequencing two strains of the GI-19 lineage with high coverage and accuracy, which can enhance the understanding of IBV's epidemiology and evolution.

Article Abstract

Infectious bronchitis virus (IBV) causes a highly contagious respiratory disease in chickens, leading to significant economic losses in the poultry industry worldwide. IBV exhibits a high mutation rate, resulting in the continuous emergence of new variants and strains. A complete genome analysis of IBV is crucial for understanding its characteristics. However, it is challenging to obtain whole-genome sequences from IBV-infected clinical samples due to the low abundance of IBV relative to the host genome. Here, we present a novel approach employing next-generation sequencing (NGS) to directly sequence the complete genome of IBV. Through in silico analysis, six primer pairs were designed to match various genotypes, including the GI-19 lineage of IBV. The primer sets successfully amplified six overlapping fragments by long-range PCR and the size of the amplicons ranged from 3.7 to 6.4 kb, resulting in full coverage of the IBV genome. Furthermore, utilizing Illumina sequencing, we obtained the complete genome sequences of two strains belonging to the GI-19 lineage (QX genotype) from clinical samples, with 100% coverage rates, over 1000 × mean depth coverage, and a high percentage of mapped reads to the reference genomes (96.63% and 97.66%). The reported method significantly improves the whole-genome sequencing of IBVs from clinical samples; thus, it can improve understanding of the epidemiology and evolution of IBVs.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11054852PMC
http://dx.doi.org/10.3390/v16040515DOI Listing

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