ReviewBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2021
Historical, current, and emerging tools for identification and serotyping of Shigella.
Review in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Whole genome sequencing analysis of antibiotic resistant genes of Shigella species: A systematic review and meta-analysis.PloS one · 2025Pooled it
- Review
- In Vivo Evaluation of the Effect ofInternational journal of molecular sciences · 2026Article
- Explainable AI-SERS approach for highly accurate discrimination ofCurrent research in microbial sciences · 2026Article
- Why Are Long-Read Sequencing Methods Revolutionizing Microbiome Analysis?Microorganisms · 2025Review
- Exploring the Complexities of Seafood: From Benefits to Contaminants.Foods (Basel, Switzerland) · 2025Review
- Can Wastewater Surveillance Enhance Genomic Tracking of Climate-Driven Pathogens?Microorganisms · 2025Review
- Molecular identification and antimicrobial resistance patterns of enterobacterales in community urinary tract infections among indigenous women in Ecuador: addressing microbiological misidentification.BMC infectious diseases · 2024Article
- A multi-epitope protein vaccine encapsulated in alginate nanoparticles as a candidate vaccine against Shigella sonnei.Scientific reports · 2024Article
- Aptamers: A Cutting-Edge Approach for Gram-Negative Bacterial Pathogen Identification.International journal of molecular sciences · 2024Review
- Article
- MassARRAY: a high-throughput solution for rapid detection of foodborne pathogens in real-world settings.Frontiers in microbiology · 2024Article
- Differential Virulence of Aggregatibacter actinomycetemcomitans Serotypes Explained by Exoproteome Heterogeneity.Microbiology spectrum · 2023Article
- Discrimination of Escherichia coli, Shigella flexneri, and Shigella sonnei using lipid profiling by MALDI-TOF mass spectrometry paired with machine learning.MicrobiologyOpen · 2022Article
- Virulence plasmid pINV as a genetic signature forMicrobial genomics · 2022Article
- Application of Nanopore Sequencing in the Detection of Foodborne Microorganisms.Nanomaterials (Basel, Switzerland) · 2022Review
- Identification of vaccine and drug targets in Shigella dysenteriae sd197 using reverse vaccinology approach.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The Shigella genus includes serious foodborne disease etiologic agents, with 4 species and 54 serotypes. Identification at species and serotype levels is a crucial task in microbiological laboratories. Nevertheless, the genetic similarity between Shigella spp. and Escherichia coli challenges the correct identification and serotyping of Shigella spp., with subsequent negative repercussions on surveillance, epidemiological investigations, and selection of appropriate treatments. For this purpose, multiple techniques have been developed historically ranging from phenotype-based methods and single or multilocus molecular techniques to whole-genome sequencing (WGS). To facilitate the selection of the most relevant method, we herein provide a global overview of historical and emerging identification and serotyping techniques with a particular focus on the WGS-based approaches. This review highlights the excellent discriminatory power of WGS to more accurately elucidate the epidemiology of Shigella spp., disclose novel promising genomic targets for surveillance methods, and validate previous well-established methods.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.