Abstract
Pasteurella multocida is a versatile zoonotic pathogen. Multiple systems have been applied to type P. multocida from different diseases in different hosts. Recently, we found that assigning P. multocida strains by combining their capsular, lipopolysaccharide, and MLST genotypes (marked as capsular: lipopolysaccharide: MLST genotype) could help address the biological characteristics of P. multocida circulation in different hosts. However, there is still lack of a rapid and efficient tool to diagnose P. multocida according to this system. Here, we developed an intelligent genotyping platform PmGT for P. multocida strains according to their whole genome sequences using the web 2.0 technologies. By using PmGT, we determined capsular genotypes, LPS genotypes, and MLST genotypes as well as the main virulence factor genes (VFGs) of P. multocida isolates from different host species based on their whole genome sequences published on NCBI. The results revealed a closer association between the genotypes and pasteurellosis rather than between genotypes and host species. With the advent of high-quality, inexpensive DNA sequencing, PmGT represents a more efficient tool for P. multocida diagnosis in both epidemiological studies and clinical settings.
Highlights
Rapid and accurate diagnosis of sources of infections is critical for both medical and veterinary activities, and it is important for improved understanding of disease mechanisms and measures to control the illness [1]
The general process for genotyping is summarized as: when a query sequence is submitted via the web user interface, this sequence will be submitted to the CentOS server via HTTP protocol
P. multocida isolates recovered from different hosts with different diseases can be classified in many different serovars/genotypes according to different typing systems [7, 9]
Summary
Rapid and accurate diagnosis of sources of infections is critical for both medical and veterinary activities, and it is important for improved understanding of disease mechanisms and measures to control the illness [1]. Microbial typing is an important link for the diagnosis of pathogens associated with diseases. The establishment of discriminatory typing systems help in the understanding and control of pathogens, especially those with multiple serovars and/or genotypes from different environmental or host sources. Whole genome sequencing combined with the high-end computational technology is such an emerging approach for microbial diagnosis [4]. Using the whole genome sequencing technologies, it is possible to determine the Genotyping of Pasteurella multocida causative agent of infectious diseases rapidly and accurately, including newly emerged ones [5, 6]. A practical, automated platform that combines whole genome sequencing with computational technologies to provide diagnostic outcomes would be beneficial in advancing the field
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