Back

Genomic Characterization of the RyC collection: 50 Multidrug Resistant Clinical Isolates of Escherichia coli and Klebsiella spp.

Rodera-Fernandez, P.; Sastre-Dominguez, J.; Costas, C.; Alonso-del-Valle, A.; de la Fuente, J.; Hernandez-Garcia, M.; Canton, R.; Santos-Lopez, A.; San Millan, A.

2026-05-18 microbiology
10.64898/2026.05.18.725816 bioRxiv
Show abstract

Antimicrobial resistance (AMR) is a major global public health threat, and Enterobacterales producing extended-spectrum {beta}-lactamases (ESBLs) represent some of the most common and concerning pathogens in clinical settings. Importantly, the dissemination of these resistance mechanisms is largely driven by mobile genetic elements (MGEs), particularly plasmids. Advancing our understanding of AMR evolution through experimentation requires moving beyond domesticated laboratory strains and towards clinically relevant isolates. However, despite the abundance of genomic data in public repositories, there is a lack of well-characterised clinical collections available for experimental work. Here, we characterise the RyC collection, which includes 50 multidrug-resistant, ESBL-producing Escherichia coli and Klebsiella spp. strains isolated from the gut microbiota of hospitalised patients at Hospital Universitario Ramon y Cajal (Madrid, Spain). We generated high-quality genome assemblies for all strains using a combination of short- and long-read sequencing technologies. From these data, we performed a comprehensive characterisation of the pangenome, mobilome, resistome and defensome of the collection. We present the RyC collection as a robust and experimentally tractable resource to study AMR evolution and MGEs dynamics in clinically relevant bacterial backgrounds. Impact statementAntimicrobial resistance (AMR) is a growing global health threat driven by the rapid dissemination of resistance genes among clinically relevant bacteria. A major challenge in studying AMR evolution is the reliance on domesticated laboratory strains, which poorly represent the complexity of pathogens circulating in hospitals. Here, we introduce the RyC collection, a set of well-characterised, multidrug-resistant Enterobacterales isolates obtained from hospitalised patients. By combining high-quality genome sequencing with detailed analyses of their gene content and mobile genetic elements (MGEs), this collection provides a realistic and experimentally tractable system to study how resistance evolves and spreads. The RyC collection will facilitate research on AMR dynamics, plasmid biology and host-MGEs interactions, ultimately contributing to the development of more effective strategies to combat antibiotic-resistant infections.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Microbial Genomics
204 papers in training set
Top 0.1%
37.6%
2
mBio
750 papers in training set
Top 2%
8.5%
3
mSystems
361 papers in training set
Top 0.9%
8.5%
50% of probability mass above
4
Genome Medicine
154 papers in training set
Top 0.8%
6.9%
5
Nature Communications
4913 papers in training set
Top 39%
3.6%
6
Scientific Reports
3102 papers in training set
Top 52%
1.9%
7
Nucleic Acids Research
1128 papers in training set
Top 9%
1.9%
8
mSphere
281 papers in training set
Top 3%
1.7%
9
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 3%
1.5%
10
Microbiology
57 papers in training set
Top 0.7%
1.3%
11
Nature Microbiology
133 papers in training set
Top 3%
1.3%
12
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 4%
1.2%
13
Microbiome
139 papers in training set
Top 3%
0.9%
14
The Journal of Infectious Diseases
182 papers in training set
Top 4%
0.8%
15
Evolutionary Applications
91 papers in training set
Top 1%
0.8%
16
Cell Host & Microbe
113 papers in training set
Top 5%
0.8%
17
Frontiers in Microbiology
375 papers in training set
Top 9%
0.8%
18
eLife
5422 papers in training set
Top 57%
0.8%
19
Genome Biology and Evolution
280 papers in training set
Top 2%
0.8%
20
Microorganisms
101 papers in training set
Top 3%
0.7%
21
Emerging Infectious Diseases
103 papers in training set
Top 3%
0.7%
22
The Lancet Microbe
43 papers in training set
Top 2%
0.5%
23
Microbiology Resource Announcements
22 papers in training set
Top 1%
0.5%
24
Gut Microbes
70 papers in training set
Top 1%
0.5%
25
Microbiology Spectrum
435 papers in training set
Top 7%
0.5%
26
ISME Communications
103 papers in training set
Top 2%
0.5%
27
Cell Reports
1338 papers in training set
Top 37%
0.5%
28
PLOS ONE
4510 papers in training set
Top 73%
0.5%
29
Environmental Microbiology
119 papers in training set
Top 4%
0.5%
30
Genome Biology
555 papers in training set
Top 9%
0.5%