Mycoplasma cynos and Mycoplasma felis are often associated with canine and feline infectious respiratory disease in dogs and cats, respectively. Mycoplasmas have a reduced genome and dearth of many biosynthetic pathways, making them dependent on rich medium for growth. Due to this fastidious nature, mycoplasmas have been historically underdiagnosed. The aim of this study was to develop a cost-effective and accurate sequencing workflow for genotypic characterization of clinical isolates of M. cynos and M. felis using a rapid long-read sequencing platform. We explored the following critical aspects of bacterial whole genome sequencing, including: (i) five solid and liquid-based culture approaches based on a specialized media formulation for Mycoplasma culture, (ii) three DNA extraction methods modified for long-read sequencing purposes, and (iii) two de novo assembly platforms, Flye and Canu, as key components of a bioinformatics pipeline. DNA extraction method 1, a solid-phase and column-based kit with enzymatic lysis, provided the best DNA quality and concentration followed by high coverage and sequencing contiguity. This was obtained with a culture volume of 45 ml in modified Hayflick’s broth incubated for 48 h. DNA extracted directly from colonies on agar or from small broth volumes (6 ml) did not meet the criteria required for long-read sequencing. Overall, Flye generated more contiguous assemblies than the Canu assembler and was more time efficient. This 4–5 day sample-to-sequence workflow provides the scientific and clinical communities with a more comprehensive tool than laborious conventional methods for complete genomic characterization of M. cynos and M. felis clinical isolates.
Mycoplasmas are respiratory pathogens in humans and animals and due to their fastidious nature, they have been historically underdiagnosed. Lack of standardised diagnostic, typing and antimicrobial susceptibility testing makes clinical management and epidemiological studies challenging. This study aimed to develop a cost-effective and accurate sequencing workflow for genotypic characterization of clinical isolates of respiratory mycoplasmas using a rapid long-read sequencing platform. Critical aspects of whole genome sequencing were explored using fastidious respiratory Mycoplasma (M. felis and M. cynos) isolated from animals including: (i) four solid and liquid-based media based on a specialized formulation for Mycoplasma culture, (ii) three DNA extraction methods modified for sequencing purposes, and (iii) two de novo assembly platforms as key components of a bioinformatic pipeline including Flye and Canu assemblers. DNA quality and quantity compatible with long-read sequencing requirements were obtained with culture volumes of 160ml in modified Hayflick’s broth incubated for 96 hours. The other three culture approaches investigated did not meet the DNA quality criteria required for long-read sequencing. The use of bead-beating bacterial cell lysis in the extraction protocol resulted in smaller fragments and shorter reads compared to enzymatic lysis methods. Overall, Flye generated more contiguous assemblies than the Canu assembler. This novel study provides a step-by-step sequencing workflow including mycoplasma culture, DNA extraction and de novo assembly approaches for the characterization of highly fastidious respiratory mycoplasmas. This workflow will provide diagnosticians, epidemiologists, and researchers with a more comprehensive tool than the laborious conventional methods for a complete genomic characterization of respiratory mycoplasmas.
Recent advances and lower costs in rapid high-throughput sequencing have engendered hope that whole genome sequencing (WGS) might afford complete resistome characterization in bacterial isolates. WGS is particularly useful for the clinical characterization of fastidious and slow-growing bacteria. Despite its potential, several challenges should be addressed before adopting WGS to detect antimicrobial resistance (AMR) genes in the clinical laboratory. Here, with three distinct ESKAPE bacteria (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.), different approaches were compared to identify best practices for detecting AMR genes, including: total genomic DNA and plasmid DNA extractions, the solo assembly of Illumina short-reads and of Oxford Nanopore Technologies (ONT) long-reads, two hybrid assembly pipelines, and three in silico AMR databases. We also determined the susceptibility of each strain to 21 antimicrobials. We found that all AMR genes detected in pure plasmid DNA were also detectable in total genomic DNA, indicating that, at least in these three enterobacterial genera, the purification of plasmid DNA was not necessary to detect plasmid-borne AMR genes. Illumina short-reads used with ONT long-reads in either hybrid or polished assemblies of total genomic DNA enhanced the sensitivity and accuracy of AMR gene detection. Phenotypic susceptibility closely corresponded with genotypes identified by sequencing; however, the three AMR databases differed significantly in distinguishing mobile dedicated AMR genes from non-mobile chromosomal housekeeping genes in which rare spontaneous resistance mutations might occur. This study indicates that each method employed in a WGS workflow has an impact on the detection of AMR genes. A combination of short- and long-reads, followed by at least three different AMR databases, should be used for the consistent detection of such genes. Further, an additional step for plasmid DNA purification and sequencing may not be necessary. This study reveals the need for standardized biochemical and informatic procedures and database resources for consistent, reliable AMR genotyping to take full advantage of WGS in order to expedite patient treatment and track AMR genes within the hospital and community.
Recent advances and lower costs in rapid high-throughput sequencing have engendered hope that whole genome sequencing (WGS) might afford complete resistome characterization in clinical bacterial isolates. Despite its potential, several challenges should be addressed before adopting WGS to detect antimicrobial resistance (AMR) genes in the clinical laboratory. Here, with three distinct ESKAPE bacteria, we compared different approaches to identify best practices for detection of AMR genes, including: total genomic DNA and plasmid DNA extractions, solo assembly of Illumina short-reads and of ONT long-reads, two hybrid assembly pipelines, and three in silico AMR databases. We also determined the susceptibility of each strain to 21 antimicrobials. We found that all AMR genes detected in pure plasmid DNA were also detectable in total genomic DNA indicating that, at least in these three enterobacterial genera, purification of plasmid DNA was not necessary to detect plasmid-borne AMR genes. We also found that Illumina short-reads used with ONT long-reads in either hybrid or polished assemblies of total genomic DNA enhanced sensitivity and accuracy of AMR gene detection. Phenotypic susceptibility corresponded well with genotypes identified by sequencing, but the three AMR databases differed significantly in distinguishing mobile dedicated AMR genes from non-mobile chromosomal housekeeping genes in which rare spontaneous resistance mutations might occur. This study reveals the need for standardized biochemical and informatic procedures and database resources for consistent, reliable AMR genotyping to take full advantage of WGS to expedite patient treatment and to track AMR genes within the hospital and community.
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