The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic

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.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-08-19
DOI
https://doi.org/10.1038/s41598-024-70107-0
Citations
6
Primary Topic
Yersinia bacterium, plague, ectoparasites research
Type
article
Field-Weighted Citation Impact
3.30

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic

Féderico García, Manuel Rodríguez‐Iglesias, Lola P. Camino, Mónica Pérez-Alegre et al.
6 citations
Scientific Reports
Yersinia bacterium, plague, ectoparasites research
3.30
article

The integrated genomic surveillance system of Andalusia (SIEGA) provides a One Health regional resource connected with the clinic

Féderico García, Manuel Rodríguez‐Iglesias, Lola P. Camino, Mónica Pérez-Alegre, Javier Pérez-Florido, Joaquı́n Dopazo, José Antonio Lepe, Carlos S. Casimiro‐Soriguer, Eloísa Andújar, Ulises Ameyugo, Carlota M. Lozano, Victoria E. Jiménez, Isabel María Vazquez, Andrea Aguado, Nicola Loruso, Enrique A. Robles, M. Fernanda Lara, J. Alberto Chaves
article en
6 citations

Abstract

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.

Scientific ReportsVol. 14(1)
Instituto de Salud Carlos III (ES), Fundación Progreso y Salud (ES), Instituto de Investigación Biosanitaria de Granada (ES), Centro de Investigación Biomédica en Red (ES), Instituto de Biomedicina de Sevilla (ES), Hospital Universitario Puerta del Mar (ES), Centro Andaluz de Biología Molecular y Medicina Regenerativa (ES), Consejería de Salud y Consumo (ES), Hospital Universitario Virgen del Rocío (ES), Universidad de Sevilla (ES), Junta de Andalucía (ES)
Ministerio de Ciencia e Innovación, Junta de Andalucía, Horizon 2020 Framework Programme, Instituto de Salud Carlos III, European Regional Development Fund, H2020 Research Infrastructures
Openalex Percentile: Top 8%
Yersinia bacterium, plague, ectoparasites research
3.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.