ReviewNature communications2023
A global genomic analysis of Salmonella Concord reveals lineages with high antimicrobial resistance in Ethiopia.
Review in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Combatting Salmonella: a focus on antimicrobial resistance and the need for effective vaccination.BMC infectious diseases · 2025Pooled it
- Advancements in Technologies Targeting Horizontal Gene TransferRoutes to Control Drug Resistance Evolution.ACS bio & med chem Au · 2026Review
- Mobile Genetic Elements Associated with Antimicrobial Resistance Across One Health Interfaces in Africa: A Systematic Review and Meta-Analysis.Antibiotics (Basel, Switzerland) · 2026Review
- Genetic and Phenotypic Characterization of aAntibiotics (Basel, Switzerland) · 2026Article
- Non-typhoidalItalian journal of food safety · 2026Article
- Characterization ofAntibiotics (Basel, Switzerland) · 2026Article
- Genomic surveillance reveals escalating antimicrobial resistance and plasmid diversity in clinicalFrontiers in microbiology · 2026Article
- Avian-specificeLife · 2025Article
- Climate change, its impact on emerging infectious diseases and new technologies to combat the challenge.Emerging microbes & infections · 2024Review
- Nanopore DNA sequencing technologies and their applications towards single-molecule proteomics.Nature chemistry · 2024Review
- Rare serovars of non-typhoidal Salmonella enterica isolated from humans, beef cattle and abattoir environments in Nigeria.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors at 18 institutions in 12 countries.
Funding
Abstract
Antimicrobial resistant Salmonella enterica serovar Concord (S. Concord) is known to cause severe gastrointestinal and bloodstream infections in patients from Ethiopia and Ethiopian adoptees, and occasional records exist of S. Concord linked to other countries. The evolution and geographical distribution of S. Concord remained unclear. Here, we provide a genomic overview of the population structure and antimicrobial resistance (AMR) of S. Concord by analysing genomes from 284 historical and contemporary isolates obtained between 1944 and 2022 across the globe. We demonstrate that S. Concord is a polyphyletic serovar distributed among three Salmonella super-lineages. Super-lineage A is composed of eight S. Concord lineages, of which four are associated with multiple countries and low levels of AMR. Other lineages are restricted to Ethiopia and horizontally acquired resistance to most antimicrobials used for treating invasive Salmonella infections in low- and middle-income countries. By reconstructing complete genomes for 10 representative strains, we demonstrate the presence of AMR markers integrated in structurally diverse IncHI2 and IncA/C2 plasmids, and/or the chromosome. Molecular surveillance of pathogens such as S. Concord supports the understanding of AMR and the multi-sector response to the global AMR threat. This study provides a comprehensive baseline data set essential for future molecular surveillance.
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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.