Subtopic Deep Dive
Multilocus Sequence Typing for Bacterial Pathogens
Research Guide
What is Multilocus Sequence Typing for Bacterial Pathogens?
Multilocus Sequence Typing (MLST) is a standardized genotyping method that sequences portions of multiple housekeeping genes to assign allelic profiles and sequence types to bacterial pathogens for clonal identification and epidemiological tracking.
MLST was proposed in 1998 using Neisseria meningitidis as the model and has become a portable, universal approach for bacterial characterization (Maiden, 2006; 906 citations). It identifies clones by comparing sequence types across loci, enabling population genetics studies in pathogens like Streptococcus pneumoniae and Bordetella pertussis. Over 50 MLST schemes exist for key bacterial pathogens, with databases supporting global surveillance.
Why It Matters
MLST tracks antibiotic-resistant clones and outbreak sources, as shown in Streptococcus pneumoniae studies distinguishing invasive from carriage strains (Brueggemann et al., 2003; 627 citations). It reveals evolutionary relationships, such as Bordetella pertussis deriving from B. bronchiseptica lineages (Diavatopoulos et al., 2005; 284 citations). Public health agencies use MLST for real-time surveillance of pathogens like Neisseria meningitidis capsule loci (Harrison et al., 2013; 309 citations), informing vaccine design and infection control.
Key Research Challenges
Standardizing MLST Schemes
Developing consistent loci across species remains difficult due to genetic diversity in pathogens like Neisseria gonorrhoeae (Unemo et al., 2019; 462 citations). Variations in housekeeping gene selection hinder cross-study comparisons. Databases require updates for emerging clones (Maiden, 2006).
Tracking Antimicrobial Resistance
Linking MLST types to resistance profiles in evolving strains like N. gonorrhoeae challenges surveillance (Unemo, 2015; 272 citations). Rapid mutations outpace typing resolution in high-recombination bacteria. Integration with whole-genome data is needed (Quillin and Seifert, 2018; 351 citations).
Distinguishing Pathogenic Clones
Differentiating invasive from commensal clones, as in S. pneumoniae carriage versus disease, requires refined MLST metrics (Brueggemann et al., 2003). Population structure analysis struggles with recombination events. Evolutionary models must account for serotype-clone interactions (Kilian et al., 2008; 282 citations).
Essential Papers
Multilocus Sequence Typing of Bacteria
Martin Maiden · 2006 · Annual Review of Microbiology · 906 citations
Multilocus sequence typing (MLST) was proposed in 1998 as a portable, universal, and definitive method for characterizing bacteria, using the human pathogen Neisseria meningitidis as an example. In...
Clonal Relationships between Invasive and Carriage<i>Streptococcus pneumoniae</i>and Serotype‐ and Clone‐Specific Differences in Invasive Disease Potential
Angela B. Brueggemann, David Griffiths, Emma Meats et al. · 2003 · The Journal of Infectious Diseases · 627 citations
By use of multilocus sequence typing, Streptococcus pneumoniae isolates causing invasive disease (n=150) were compared with those from nasopharyngeal carriage (n=351) among children in Oxford. The ...
Gonorrhoea
Magnus Unemo, H. Steven Seifert, Edward W. Hook et al. · 2019 · Nature Reviews Disease Primers · 462 citations
Bordetella pertussis pathogenesis: current and future challenges
Jeffrey A. Melvin, Erich V. Scheller, Jeff F. Miller et al. · 2014 · Nature Reviews Microbiology · 353 citations
Neisseria gonorrhoeae host adaptation and pathogenesis
Sarah J. Quillin, H. Steven Seifert · 2018 · Nature Reviews Microbiology · 351 citations
Description and Nomenclature of<i>Neisseria meningitidis</i>Capsule Locus
Odile B. Harrison, Heike Claus, Ying Jiang et al. · 2013 · Emerging infectious diseases · 309 citations
Pathogenic Neisseria meningitidis isolates contain a polysaccharide capsule that is the main virulence determinant for this bacterium. Thirteen capsular polysaccharides have been described, and nuc...
Bordetella pertussis, the Causative Agent of Whooping Cough, Evolved from a Distinct, Human-Associated Lineage of B. bronchiseptica
Dimitri A. Diavatopoulos, Craig Cummings, Leo M. Schouls et al. · 2005 · PLoS Pathogens · 284 citations
Bordetella pertussis, B. bronchiseptica, B. parapertussis(hu), and B. parapertussis(ov) are closely related respiratory pathogens that infect mammalian species. B. pertussis and B. parapertussis(hu...
Reading Guide
Foundational Papers
Start with Maiden (2006) for MLST methodology and standardization (906 citations), then Brueggemann et al. (2003) for pneumococcal applications (627 citations); Diavatopoulos et al. (2005) details pertussis evolution.
Recent Advances
Study Unemo et al. (2019) on gonorrhoeae surveillance (462 citations) and Quillin and Seifert (2018) on pathogenesis (351 citations) for resistance tracking advances.
Core Methods
Core techniques: housekeeping gene selection, allele numbering, eBURST for clonal complexes, and PubMLST database queries (Maiden, 2006; Harrison et al., 2013).
How PapersFlow Helps You Research Multilocus Sequence Typing for Bacterial Pathogens
Discover & Search
Research Agent uses searchPapers and citationGraph to map MLST literature from Maiden (2006), revealing 906 citing papers on schemes for Streptococcus and Neisseria; exaSearch finds unpublished outbreak data, while findSimilarPapers clusters Brueggemann et al. (2003) with S. pneumoniae clonal studies.
Analyze & Verify
Analysis Agent applies readPaperContent to extract allelic profiles from Maiden (2006), then runPythonAnalysis with pandas to compute sequence type diversity; verifyResponse via CoVe cross-checks clone relationships against Brueggemann et al. (2003), with GRADE grading for epidemiological evidence strength.
Synthesize & Write
Synthesis Agent detects gaps in MLST-resistance links from Unemo (2015), flagging contradictions in gonorrhoeae evolution; Writing Agent uses latexEditText and latexSyncCitations to draft schemes tables, latexCompile for publication-ready reports, and exportMermaid for phylogenetic trees.
Use Cases
"Analyze MLST diversity in my 50 S. pneumoniae isolates dataset"
Research Agent → searchPapers (Brueggemann et al. 2003) → Analysis Agent → runPythonAnalysis (pandas allele matching, matplotlib ST plots) → researcher gets CSV of clone frequencies and invasion scores.
"Draft MLST outbreak report for Bordetella pertussis with phylogeny"
Synthesis Agent → gap detection (Diavatopoulos et al. 2005) → Writing Agent → latexEditText (manuscript), latexSyncCitations, exportMermaid (evolutionary tree), latexCompile → researcher gets compiled PDF report.
"Find code for Neisseria MLST pipeline from recent papers"
Research Agent → citationGraph (Harrison et al. 2013) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → researcher gets validated GitHub MLST analysis scripts.
Automated Workflows
Deep Research workflow scans 50+ MLST papers via searchPapers → citationGraph → structured report on schemes for meningitidis and pneumococcus. DeepScan applies 7-step CoVe to verify clone pathogenicity in Brueggemann et al. (2003) with GRADE checkpoints. Theorizer generates hypotheses on pertussis evolution from Diavatopoulos et al. (2005) literature synthesis.
Frequently Asked Questions
What defines Multilocus Sequence Typing?
MLST sequences 7-10 housekeeping genes to assign unique sequence type (ST) numbers based on allelic profiles, standardized since 1998 for portability (Maiden, 2006).
What are core MLST methods?
Methods involve PCR amplification, Sanger sequencing of loci like abcZ or gltA, and database assignment of STs via PubMLST; schemes are pathogen-specific (Maiden, 2006).
What are key MLST papers?
Foundational works include Maiden (2006; 906 citations) on methodology and Brueggemann et al. (2003; 627 citations) on pneumococcal clones; recent advances cover gonorrhoeae (Unemo et al., 2019).
What are open problems in MLST?
Challenges include whole-genome integration for recombination detection and scaling to high-throughput sequencing beyond traditional loci (Quillin and Seifert, 2018; Unemo, 2015).
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Part of the Bacterial Infections and Vaccines Research Guide