Abstract
AbstractInfectious laryngotracheitis virus (ILTV) is the causative agent of an economically important disease of chickens causing upper respiratory tract infection. Strains of ILTV are commonly identified by polymerase chain reaction restriction fragment length polymorphism (PCR-RFLP) and/or PCR high resolution melt (PCR-HRM) curve analysis targeting several genes. However, these techniques examine only a limited number of mutations present inside the target regions and may generate unreliable results when the sample contains more than one strain. Here, we attempted to sequence the whole genome of ILTV with known identity (class 9) directly from tracheal scrapings to circumvent in vitro culturing, which can potentially introduce variations into the genome. Despite the large number of quality reads, mapping was compromised by poor overlapping and gaps, and assembly of the complete genome sequence was not possible. In a map-to-reference alignment, the regions with low coverage were deleted, those with high coverage were concatenated and a genome sequence of 139,465 bp was obtained, which covered 91% of the ILTV genome. Sixteen single-nucleotide polymorphisms (SNPs) were found between the ILTV isolate examined and ILTV class 9 (JN804827). Despite only 91% genome coverage, using sequence analysis and comparison with previously sequenced ILTVs, we were able to classify the isolate as class 9. Therefore, this technique has the potential to replace the current PCR-HRM technique, as it provides detailed information about the ILTV isolates.
Publisher
Springer Science and Business Media LLC
Subject
Virology,General Medicine
Reference28 articles.
1. Andrews SF, Krueger F, Seconds-Pichon A, Biggins F, Wingett SF (2014) A quality control tool for high throughput sequence data. Babraham Bioinform. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/
2. Chandra YG, Lee J, Kong BW (2012) Genome sequence comparison of two United States live attenuated vaccines of infectious laryngotracheitis virus (ILTV). Virus Genes 44:470–474
3. Chen S, Zhou Y, Chen Y, Gu J (2018) fastp: an ultra-fast all-in-one FASTQ preprocessor. bioRxiv 34:i884–i890. https://doi.org/10.1101/274100
4. Cottone R, Büttner M, Bauer B, Henkel M, Hettich E, Rziha HJ (1998) Analysis of genomic rearrangement and subsequent gene deletion of the attenuated Orf virus strain D1701. Virus Res 56:53–67
5. Dwight Z, Palais R, Wittwer CT (2011) uMELT: prediction of high-resolution melting curves and dynamic melting profiles of PCR products in a rich web application. Bioinformatics 27:1019–1020