ArticleNature communications2024
Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 35 citations in OpenAlex.
- High-risk antimicrobial resistance genomic traits in multidrug-resistant Salmonella across China's food chain: projections to 2050.Nature communications · 2026Article
- Global Genomic Analysis Reveals Spatial Patterns and Temporal Trends of Priority-Antimicrobial Resistance inVeterinary sciences · 2026Article
- Metagenomic characterization of the resistome, bacteriome and mobilome in raw milk from intensive farming systems.Journal of advanced research · 2026Article
- Genomic and socioeconomic drivers of antimicrobial resistance forecast to 2050.Cell genomics · 2026Article
- ReGAIN: a bioinformatics platform for assessing probabilistic co-occurrence between resistance genes in bacterial pathogens.Bioinformatics (Oxford, England) · 2026Article
- Occurrence and Antimicrobial Resistance Profiles ofBiology · 2026Article
- Antimicrobial-resistant Escherichia Coli and Salmonella in poultry production and spread and effect in the one health framework.Poultry science · 2026Review
- Susceptibility Profile and Multiple Antibiotics Resistance ofAntibiotics (Basel, Switzerland) · 2026Article
- Genomic epidemiology and plasmid characterization of antimicrobial resistance and virulence in cattleMicrobiology spectrum · 2026Article
- Antibiotic-degrading bacteria shape resistome dynamics and horizontal gene transfer potential in soils with contrasting properties.ISME communications · 2026Article
- Genomic Analysis of Antibiotic Resistance and Virulence Profiles inVeterinary sciences · 2025Article
- Genome Analysis of 6222 Bacterial Isolates from Livestock and Food Environments in Spain to Decipher the Antibiotic Resistome.Antibiotics (Basel, Switzerland) · 2025Article
- Antimicrobial resistance in Malaysia: a cross-sectional study analysing trends and economic impacts.BMJ open · 2025Article
- Policies and strategies to control antimicrobial resistance in livestock production: A comparative analysis of national action plans in European Union Member States.Health policy (Amsterdam, Netherlands) · 2025Review
- Genomic dissection of the antimicrobial resistance epidemiology ofFrontiers in microbiology · 2025Article
- The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance.Computational and structural biotechnology journal · 2025Review
- Serotype Distribution and Antimicrobial Resistance ofAntibiotics (Basel, Switzerland) · 2024Article
- Core and accessory genomic traits of Vibrio cholerae O1 drive lineage transmission and disease severity.Nature communications · 2024Article
- Tackling the Antimicrobial Resistance "Pandemic" with Machine Learning Tools: A Summary of Available Evidence.Microorganisms · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sharing of genetic elements among different pathogens and commensals inhabiting same hosts and environments has significant implications for antimicrobial resistance (AMR), especially in settings with high antimicrobial exposure. We analysed 661 Escherichia coli and Salmonella enterica isolates collected within and across hosts and environments, in 10 Chinese chicken farms over 2.5 years using data-mining methods. Most isolates within same hosts possessed the same clinically relevant AMR-carrying mobile genetic elements (plasmids: 70.6%, transposons: 78%), which also showed recent common evolution. Supervised machine learning classifiers revealed known and novel AMR-associated mutations and genes underlying resistance to 28 antimicrobials, primarily associated with resistance in E. coli and susceptibility in S. enterica. Many were essential and affected same metabolic processes in both species, albeit with varying degrees of phylogenetic penetration. Multi-modal strategies are crucial to investigate the interplay of mobilome, resistance and metabolism in cohabiting bacteria, especially in ecological settings where community-driven resistance selection occurs.
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.