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Microbial infections and disease research
Research Guide

What is Microbial infections and disease research?

Microbial infections and disease research is the scientific study of how microbes infect hosts, cause disease, and can be detected, typed, treated, and tracked using laboratory, genomic, and epidemiologic methods.

Microbial infections and disease research spans clinical microbiology workflows, pathogen taxonomy, antimicrobial mechanisms and resistance, and genomic epidemiology for outbreak investigation and surveillance. Core enabling methods include broad-range 16S rDNA PCR for bacterial phylogenetics (Weisburg et al., 1991) and high-throughput genome sequencing approaches that reduced time and cost for large-scale sequencing projects (Margulies et al., 2005). The provided corpus contains 106,370 works on this topic (5-year growth rate: N/A).

106.4K
Papers
N/A
5yr Growth
852.4K
Total Citations

Research Sub-Topics

Why It Matters

This research directly supports real-world diagnosis, infection control, and treatment decisions by turning clinical specimens into actionable identifications, resistance interpretations, and transmission hypotheses. Standardized laboratory procedures compiled in the "Clinical Microbiology Procedures Handbook" (2016) operationalize routine culture, identification, and antimicrobial susceptibility testing across organism groups, enabling comparability and quality in clinical reporting. Therapeutic relevance is illustrated by Chopra and Roberts (2001) in "Tetracycline Antibiotics: Mode of Action, Applications, Molecular Biology, and Epidemiology of Bacterial Resistance", which synthesizes how a widely used antibiotic class acts and how resistance emerges and spreads across diverse microorganisms. Public-health impact is strengthened when genome data are made portable and comparable across sites: Maiden et al. (1998) in "Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms" defined MLST to enable inter-laboratory comparison of pathogen clones, and Jolley et al. (2018) in "Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications" described curated, open-access resources integrating sequence data with provenance and phenotype information for over 100 organisms. At the level of pathogen evolution and virulence, Zhou et al. (2011) in "PHAST: A Fast Phage Search Tool" provided a practical way to identify prophage sequences in bacterial genomes, supporting analyses where phage-encoded genes can contribute to strain differences relevant to disease.

Reading Guide

Where to Start

Start with Weisburg et al. (1991), "16S ribosomal DNA amplification for phylogenetic study", because it introduces a broadly applicable molecular method (wide-range bacterial PCR) that underpins many downstream identification and phylogenetic workflows in infection research.

Key Papers Explained

Methodologically, Weisburg et al. (1991) in "16S ribosomal DNA amplification for phylogenetic study" provides the conserved-marker approach to place bacteria on a phylogenetic tree, while Margulies et al. (2005) in "Genome sequencing in microfabricated high-density picolitre reactors" enables scaling from single loci to whole genomes. For epidemiology, Maiden et al. (1998) in "Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms" defines portable strain typing, and Larsen et al. (2012) in "Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria" connects that framework to total-genome sequence data. For shared infrastructure and data integration, Jolley et al. (2018) in "Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications" describes curated, open-access population-genomic databases that link sequence data to provenance and phenotype across over 100 organisms.

Paper Timeline

100%
graph LR P0["Bergey's Manual of Determinative...
1975 · 2.5K cites"] P1["16S ribosomal DNA amplification ...
1991 · 11.6K cites"] P2["The Minimal Gene Complement of <...
1995 · 2.5K cites"] P3["Multilocus sequence typing: A po...
1998 · 3.8K cites"] P4["Tetracycline Antibiotics: Mode o...
2001 · 4.3K cites"] P5["Genome sequencing in microfabric...
2005 · 7.6K cites"] P6["Open-access bacterial population...
2018 · 3.1K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P1 fill:#DC5238,stroke:#c4452e,stroke-width:2px
Scroll to zoom • Drag to pan

Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Advanced work often combines population genomics with functional annotation of mobile genetic elements; Zhou et al. (2011) in "PHAST: A Fast Phage Search Tool" is a practical entry point for integrating prophage detection into genome interpretation. For clinically anchored studies, pairing standardized workflows from the "Clinical Microbiology Procedures Handbook" (2016) with genomic typing and database deposition practices described in Jolley et al. (2018) supports reproducible, multi-site analyses.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 16S ribosomal DNA amplification for phylogenetic study 1991 Journal of Bacteriology 11.6K
2 Genome sequencing in microfabricated high-density picolitre re... 2005 Nature 7.6K
3 Tetracycline Antibiotics: Mode of Action, Applications, Molecu... 2001 Microbiology and Molec... 4.3K
4 Multilocus sequence typing: A portable approach to the identif... 1998 Proceedings of the Nat... 3.8K
5 Open-access bacterial population genomics: BIGSdb software, th... 2018 Wellcome Open Research 3.1K
6 The Minimal Gene Complement of <i>Mycoplasma genitalium</i> 1995 Science 2.5K
7 Bergey's Manual of Determinative Bacteriology 1975 American Journal of Tr... 2.5K
8 Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria 2012 Journal of Clinical Mi... 2.2K
9 Clinical Microbiology Procedures Handbook 2016 ASM Press eBooks 2.2K
10 PHAST: A Fast Phage Search Tool 2011 Nucleic Acids Research 2.0K

In the News

Code & Tools

GitHub - genomic-surveillance/rvi-viral-lens: A viral metagenomics pipeline developed by the Wellcome Sanger Institute, Genome Surveillance Unit
github.com

The **Viral Lens** is a bioinformatic pipeline deal with short-read sequencing data generated from the bait-capture protocols for enrichment design...

GitHub - korcsmarosgroup/MicrobioLink2: A computational tool that analyzes the impact of host-microbe interaction on downstream signaling in human cells and tissues.
github.com

MicrobioLink is a computational pipeline designed to predict host-microbe protein-protein interactions and analyze their downstream effects on host...

GitHub - nf-core/pathogensurveillance: Surveillance of pathogens using population genomics and sequencing
github.com

**nf-core/pathogensurveillance**is a population genomics pipeline for pathogen identification, variant detection, and biosurveillance.

GitHub - dauinh/ersilia: The Ersilia Model Hub, a platform featuring models for infectious and neglected disease research.
github.com

The Ersilia Model Hub is the main project of the Ersilia Open Source Initiative . The aim is to provide a platform for a user-friendly deployment o...

GitHub - TORCH-Consortium/MAGMA: A pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis with a focus on clinical decision making as well as research
github.com

MAGMA (**M**aximum**A**ccessible**G**enome for**M**tb**A**nalysis) is a pipeline for comprehensive genomic analyses of Mycobacterium tuberculosis w...

Recent Preprints

Latest Developments

Recent developments in microbial infections and disease research include the creation of a new test that accurately determines which antibiotics truly kill bacteria, potentially improving treatment efficacy for tuberculosis and lung infections (published January 12, 2026) (ScienceDaily). Additionally, there are emerging strategies for combating bacterial infections, with a major conference scheduled for May 2026, focusing on beyond antibiotics approaches (Keystone Symposia). Other notable advances involve understanding antimicrobial resistance, including rising incidences of drug-resistant infections in Europe and the genetic mechanisms behind resistance and virulence, such as colistin resistance plasmids that enhance bacterial pathogenicity (CIDRAP, Nature Communications).

Frequently Asked Questions

What is the difference between identifying a microbe and typing a strain in microbial infections and disease research?

Identification determines what organism is present, while typing distinguishes closely related strains to support epidemiology and transmission analysis. Maiden et al. (1998) in "Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms" framed MLST specifically to make clone identification portable and comparable among laboratories.

How does 16S rDNA PCR support research on bacterial infections?

Weisburg et al. (1991) in "16S ribosomal DNA amplification for phylogenetic study" described oligonucleotide primers and methods that initiate PCR amplification across a phylogenetically wide range of bacteria. This enables phylogenetic placement and taxonomic assessment from a conserved genetic marker when studying bacterial infections.

How did high-throughput sequencing become practical for large-scale microbial disease studies?

Margulies et al. (2005) in "Genome sequencing in microfabricated high-density picolitre reactors" described a scalable, highly parallel sequencing system with raw throughput greater than capillary electrophoresis approaches. This type of throughput increase supports pathogen genome sequencing at scales needed for population studies and surveillance.

Which approaches make strain typing more efficient when whole genomes are available?

Larsen et al. (2012) in "Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria" addressed how MLST can be performed using whole-genome sequence data rather than traditional, more time-consuming laboratory workflows. This links the established MLST framework to genome-scale data produced in modern microbiology.

How do researchers study antibiotic use and resistance in common antibacterial classes?

Chopra and Roberts (2001) in "Tetracycline Antibiotics: Mode of Action, Applications, Molecular Biology, and Epidemiology of Bacterial Resistance" reviewed tetracyclines as inexpensive, widely used antibiotics with activity across multiple microorganism groups and summarized resistance biology and epidemiology. This provides a reference point for connecting mechanism to observed resistance patterns in infection research.

Which resources support standardized clinical microbiology methods and bacterial classification?

The "Clinical Microbiology Procedures Handbook" (2016) compiles procedures spanning bacteriology, mycology, parasitology, virology, and antimicrobial susceptibility testing for clinical and infection-control use. "Bergey's Manual of Determinative Bacteriology" (1975) provides structured descriptions and characterization criteria for groups of bacteria used in classification and identification.

Open Research Questions

  • ? Which prophage features identified with "PHAST: A Fast Phage Search Tool" (2011) best explain clinically relevant strain-to-strain differences within the same bacterial species?
  • ? How can MLST frameworks from "Multilocus sequence typing: A portable approach to the identification of clones within populations of pathogenic microorganisms" (1998) be most effectively integrated with whole-genome workflows described in "Multilocus Sequence Typing of Total-Genome-Sequenced Bacteria" (2012) without losing inter-laboratory portability?
  • ? Which standardized laboratory workflows from the "Clinical Microbiology Procedures Handbook" (2016) most strongly influence downstream comparability of population-genomic datasets curated via "Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications" (2018)?
  • ? How should broad-range 16S approaches from "16S ribosomal DNA amplification for phylogenetic study" (1991) be combined with genome sequencing approaches from "Genome sequencing in microfabricated high-density picolitre reactors" (2005) to resolve cases where taxonomy and within-species transmission questions must both be answered from limited clinical material?

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