ReviewFuture microbiology2012
Developing insights into the mechanisms of evolution of bacterial pathogens from whole-genome sequences.
Review in Future microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.
- Genomic evolution and adaptation of arthropod-associated Rickettsia.Scientific reports · 2022Pooled it
- Whole-genome sequencing to explore genomic profile, pathogenicity, virulence motifs, and pangenome of clinical MRSA isolates.Scientific reports · 2025Article
- Hybrid-genome sequence analysis of Enterobacter cloacae FACU and morphological characterization: insights into a highly arsenic-resistant strain.Functional & integrative genomics · 2024Article
- SynonymousNAR genomics and bioinformatics · 2024Article
- Genomic epidemiology of SARS-CoV-2 infections in The Gambia: an analysis of routinely collected surveillance data between March, 2020, and January, 2022.The Lancet. Global health · 2023Article
- Simple and structured model to build sequencing capacity in west Africa.The Lancet. Global health · 2022Article
- The microbial ecology of Escherichia coli in the vertebrate gut.FEMS microbiology reviews · 2022Review
- Whole-genome sequence analysis through online web interfaces: a review.Genomics & informatics · 2022Article
- Review
- SNPPar: identifying convergent evolution and other homoplasies from microbial whole-genome alignments.Microbial genomics · 2021Article
- Ciprofloxacin induced antibiotic resistance in Salmonella Typhimurium mutants and genome analysis.Archives of microbiology · 2021Article
- Complete Genome Sequencing ofPathogens (Basel, Switzerland) · 2021Article
- Large-scale sequencing of SARS-CoV-2 genomes from one region allows detailed epidemiology and enables local outbreak management.Microbial genomics · 2021Article
- Article
- Article
- Beyond the pan-genome: current perspectives on the functional and practical outcomes of the distributed genome hypothesis.Biochemical Society transactions · 2020Review
- In silico functional and evolutionary analyses of rubber oxygenases (RoxA and RoxB).3 Biotech · 2020Article
- Review
- Genome-Scale Metabolic Modeling for Unraveling Molecular Mechanisms of High Threat Pathogens.Frontiers in cell and developmental biology · 2020Review
- Sub-lethal Concentrations of Phytochemicals (Carvacrol and Oregano) Select for Reduced Susceptibility Mutants ofPolish journal of microbiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Evolution of bacterial pathogen populations has been detected in a variety of ways including phenotypic tests, such as metabolic activity, reaction to antisera and drug resistance and genotypic tests that measure variation in chromosome structure, repetitive loci and individual gene sequences. While informative, these methods only capture a small subset of the total variation and, therefore, have limited resolution. Advances in sequencing technologies have made it feasible to capture whole-genome sequence variation for each sample under study, providing the potential to detect all changes at all positions in the genome from single nucleotide changes to large-scale insertions and deletions. In this review, we focus on recent work that has applied this powerful new approach and summarize some of the advances that this has brought in our understanding of the details of how bacterial pathogens evolve.
Indexed as
Identifiers
What OpenQuestion holds
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.