@article {811,
	title = {Genotypic characterization and antimicrobial susceptibility of human  isolates in Southern Spain.},
	journal = {Microbiol Spectr},
	volume = {12},
	year = {2024},
	month = {2024 Oct 03},
	pages = {e0102824},
	abstract = {<p> is the main cause of bacterial gastroenteritis and a public health problem worldwide. Little information is available on the genotypic characteristics of human  in Spain. This study is based on an analysis of the resistome, virulome, and phylogenetic relationship, antibiogram prediction, and antimicrobial susceptibility of 114 human isolates of  from a tertiary hospital in southern Spain from October 2020 to June 2023. The isolates were sequenced using Illumina technology, and a bioinformatic analysis was subsequently performed. The susceptibility of  isolates to ciprofloxacin, tetracycline, and erythromycin was also tested. The resistance rates for each antibiotic were 90.3\% for ciprofloxacin, 66.7\% for tetracycline, and 0.88\% for erythromycin. The fluoroquinolone resistance rate obtained is well above the European average (69.1\%). CC-21 ( = 23), ST-572 ( = 13), and ST-6532 ( = 13) were the most prevalent clonal complexes (CCs) and sequence types (STs). In the virulome, the , and  genes were detected in all the isolates. A prevalence of 20.1\% was obtained for the genes  and , which are related to the pathogenesis of Guillain-Barr{\'e} syndrome (GBS). The prevalence of the main antimicrobial resistance markers detected were CmeABC (92.1\%), RE-cmeABC (7.9\%), the T86I substitution in  (88.9\%),  (72.6\%) (65.8\%), and  (17.1\%). High antibiogram prediction rates (>97\%) were obtained, except for in the case of the erythromycin-resistant phenotype. This study contributes significantly to the knowledge of  genomics for the prevention, treatment, and control of infections caused by this pathogen.IMPORTANCEDespite being the pathogen with the greatest number of gastroenteritis cases worldwide,  remains a poorly studied microorganism. A sustained increase in fluoroquinolone resistance in human isolates is a problem when treating  infections. The development of whole genome sequencing (WGS) techniques has allowed us to better understand the genotypic characteristics of this pathogen and relate them to antibiotic resistance phenotypes. These techniques complement the data obtained from the phenotypic analysis of  isolates. The zoonotic transmission of  through the consumption of contaminated poultry supports approaching the study of this pathogen through "One Health" approach. In addition, due to the limited information on the genomic characteristics of  in Spain, this study provides important data and allows us to compare the results with those obtained in other countries.</p>},
	keywords = {Adolescent, Adult, Aged, Aged, 80 and over, Anti-Bacterial Agents, Campylobacter Infections, Campylobacter jejuni, Child, Child, Preschool, Ciprofloxacin, Drug Resistance, Bacterial, Erythromycin, Female, Genotype, Humans, Infant, Male, Microbial Sensitivity Tests, Middle Aged, Phylogeny, Spain, Tetracycline, Young Adult},
	issn = {2165-0497},
	doi = {10.1128/spectrum.01028-24},
	author = {Fern{\'a}ndez-Palacios, Pablo and Gal{\'a}n-S{\'a}nchez, F{\'a}tima and Casimiro-Soriguer, Carlos S and Jurado-Tarifa, Estefan{\'\i}a and Arroyo, Federico and Lara, Mar{\'\i}a and Chaves, J Alberto and Dopazo, Joaquin and Rodriguez-Iglesias, Manuel A}
}
@article {813,
	title = {The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic.},
	journal = {Sci Rep},
	volume = {14},
	year = {2024},
	month = {2024 Aug 19},
	pages = {19200},
	abstract = {<p>The One Health approach, recognizing the interconnectedness of human, animal, and environmental health, has gained significance amid emerging zoonotic diseases and antibiotic resistance concerns. This paper aims to demonstrate the utility of a collaborative tool, the SIEGA, for monitoring infectious diseases across domains, fostering a comprehensive understanding of disease dynamics and risk factors, highlighting the pivotal role of One Health surveillance systems. Raw whole-genome sequencing is processed through different species-specific open software that additionally reports the presence of genes associated to anti-microbial resistances and virulence. The SIEGA application is a Laboratory Information Management System, that allows customizing reports, detect transmission chains, and promptly alert on alarming genetic similarities. The SIEGA initiative has successfully accumulated a comprehensive collection of more than 1900 bacterial genomes, including Salmonella enterica, Listeria monocytogenes, Campylobacter jejuni, Escherichia coli, Yersinia enterocolitica and Legionella pneumophila, showcasing its potential in monitoring pathogen transmission, resistance patterns, and virulence factors. SIEGA enables customizable reports and prompt detection of transmission chains, highlighting its contribution to enhancing vigilance and response capabilities. Here we show the potential of genomics in One Health surveillance when supported by an appropriate bioinformatic tool. By facilitating precise disease control strategies and antimicrobial resistance management, SIEGA enhances global health security and reduces the burden of infectious diseases. The integration of health data from humans, animals, and the environment, coupled with advanced genomics, underscores the importance of a holistic One Health approach in mitigating health threats.</p>},
	keywords = {Animals, Drug Resistance, Bacterial, Genome, Bacterial, Genomics, Humans, One Health, Virulence Factors, Whole Genome Sequencing},
	issn = {2045-2322},
	doi = {10.1038/s41598-024-70107-0},
	author = {Casimiro-Soriguer, Carlos S and Perez-Florido, Javier and Robles, Enrique A and Lara, Mar{\'\i}a and Aguado, Andrea and Rodr{\'\i}guez Iglesias, Manuel A and Lepe, Jose A and Garc{\'\i}a, Federico and P{\'e}rez-Alegre, M{\'o}nica and And{\'u}jar, Elo{\'\i}sa and Jim{\'e}nez, Victoria E and Camino, Lola P and Loruso, Nicola and Ameyugo, Ulises and Vazquez, Isabel Mar{\'\i}a and Lozano, Carlota M and Chaves, J Alberto and Dopazo, Joaquin}
}
