CD Genomics offers a precise Multi-Locus Sequence Typing (MLST) service that utilizes both Sanger and next-generation sequencing technologies to deliver detailed bacterial strain differentiation. By sequencing multiple housekeeping genes, we generate unique allele profiles that enable accurate strain identification and in-depth evolutionary analysis. Our service provides high-resolution, reproducible data and is backed by extensive experience in handling various samples.
MLST is a sophisticated molecular technique essential for the accurate identification and differentiation of bacterial strains. It involves the sequencing of internal fragments from multiple housekeeping genes—commonly seven—each spanning 400-600 base pairs. These housekeeping genes are crucial for fundamental cellular functions and exhibit minimal genetic variation within a species. Using primers specific to these genes, MLST performs PCR amplification and sequencing to determine allele numbers at designated loci. This process generates unique allele profiles or sequence types (STs) for each strain. By analyzing these profiles through methods like pairwise difference matrices and constructing phylogenetic trees, MLST enables a detailed understanding of genetic relationships and evolutionary trajectories among bacterial strains.
Key Features of MLST
The utilization of MLST provides several essential benefits:
While both MLST and Multi-Locus Sequence Analysis (MLSA) revolve around the examination of multiple gene loci, their objectives and applications diverge significantly:
Purpose and Scope:
Gene Selection:
Application:
The applications of MLST include, but are not limited to, the following areas:
At CD Genomics, our MLST service leverages both first-generation (Sanger) and NGS technologies. While Sanger sequencing focuses on amplifying and sequencing specific housekeeping genes for strain differentiation, NGS advances this approach by sequencing the entire bacterial genome. This shift to NGS not only enhances the precision of MLST but also expands its capabilities, allowing for additional analyses such as virulence and resistance profiling, thereby providing a comprehensive view of genetic variations and improving strain identification and evolutionary studies.
Note: The above content includes only a portion of the bioinformatics analysis. For more information or to customize the analysis, please contact us directly.
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Partial results of our SCFA analysis service are shown below:
Whole-Genome Sequencing-Based Profiling of Antimicrobial Resistance Genes and Core-Genome Multilocus Sequence Typing of Campylobacter jejuni from Different Sources in Lithuania
Journal: International Journal of Molecular Sciences
Impact factor: 5.6
Published: 6 November 2023
Background
Campylobacter jejuni causes acute gastroenteritis, typically from undercooked poultry or contaminated water. Severe cases might require antibiotics. AMR, driven by gene mutations and horizontal gene transfer, is a rising concern. Whole-genome sequencing (WGS) accurately identifies AMR genes and mechanisms, surpassing traditional methods. This study uses WGS to evaluate AMR and genetic diversity in C. jejuni from multiple sources.
Materials & Methods
Sample preparation:
Method:
Data Analysis:
Results
The genomic analysis of C. jejuni strains revealed genome sizes ranging from 1.6 to 1.86 Mb with an average G+C content of 30.32%. The pan-genome analysis identified 4204 genes, including 1215 core and 2989 accessory genes. Three clusters of C. jejuni strains were identified based on cgMLST, showing varying resistance profiles. Notably, ST-5 was predominant. WGS identified 26 AMR genes, with specific point mutations associated with resistance. Virulence genes related to motility, adherence, and stress response were found across isolates, with significant differences in gene profiles among strains from different sources.
Figure 1. Minimum spanning tree of C. jejuni isolates generated.
Figure 2. Interactive tree of life (iTOL) of 53 C. jejuni isolates based on the presence and absence of gene point mutations and sequence cluster classification.
Conclusions
Combining WGS and cgMLST techniques revealed the spread of antimicrobial-resistant C. jejuni clones and potential transmission routes between humans and animals. The analysis showed that gene mutations linked to resistance are accumulating, indicating long-term selective pressure and evolving resistance mechanisms.
References
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