Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes

Human-transformed residuals, especially those derived from human waste (dumps), farmland, and livestock are involved in the emergence of antibiotic-resistant bacteria (ARB) in the environment. Wildlife can act as vectors of ARB dispersal through different environments, but also as sentinels to detec...

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Autores: Martín-Vélez, Víctor, Montalvo, Tomás, Giralt, David, Ramírez, Francisco, Giménez, Joan, Morral-Puigmal, Clara, Planell, Raquel, Sabate, Sara, Bota, Gerard, Navarro, Joan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/467073
Acceso en línea:https://doi.org/10.1111/1365-2664.14787
https://hdl.handle.net/10459.1/467073
Access Level:acceso abierto
Palabra clave:Agriculture
AMR
ARB
Connectivity
One heath
Risk maps
Wldlife
Yellow-legged gull
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spelling Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapesMartín-Vélez, VíctorMontalvo, TomásGiralt, DavidRamírez, FranciscoGiménez, JoanMorral-Puigmal, ClaraPlanell, RaquelSabate, SaraBota, GerardNavarro, JoanAgricultureAMRARBConnectivityOne heathRisk mapsWldlifeYellow-legged gullHuman-transformed residuals, especially those derived from human waste (dumps), farmland, and livestock are involved in the emergence of antibiotic-resistant bacteria (ARB) in the environment. Wildlife can act as vectors of ARB dispersal through different environments, but also as sentinels to detect the early spread and determine ARB sources. The development of integrated monitoring programmes focused on wildlife would help to anticipate the risks of ARB to humans and livestock. We used the yellow-legged gull (Larus michahellis) as a model species to investigate and monitor the spatial patterns of ARB dispersal across an extensive farmland region located in northeastern Spain (Lleida). By integrating GPS tracking data and ARB clinical testing for 26 individuals within a network analysis framework, we modelled the risk of spatial pathogen spread through faeces during the bacteria-transmission latency period (16 days after sample collection). Additionally, we created a connectivity network to determine the main sources of ARB in the area, focusing on three main habitats of special risk for infection: dumps, livestock facilities, and irrigation ponds. Seven individuals were infected by Escherichia coli, with one also co-infected with Listeria monocytogenes and Salmonella spp. Potential pathogen dispersal distances ranged from 1.13 km to 23.13 km from the breeding colony. Our network analyses revealed 54 main nodes (i.e. high-risk habitats recurrently visited by tracked gulls) and 1182 links among them. Our findings revealed a high degree of connectivity between the breeding area, located in a shallow lake, and nearby dumps, highlighting them as significant contributors to ARB dispersal. Synthesis and applications: The integration of GPS data, pathogen testing and network analyses can shed further light on pathogen dynamics by creating spatial risk maps and identifying ARB sources. In combination with complementary molecular epidemiology techniques within a One Health framework, our approach can emerge as an important tool for monitoring ARB dynamics within highly human-transformed ecosystems. This may empower managers for the development of targeted ARB monitoring programmes and effective mitigation strategies, ultimately improving both animal and public health.Ayudas Margarita Salas 2002 fromMinisterio de Ciencia, Universidades eInnovación of Gobierno de España; Juande la Cierva - Formación (JDC2022)fellowship from Ministerio de Ciencia,Universidades e Innovación of Gobiernode España, Grant/Award Number:JDC2022- 049638-IBritish Ecological Society2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1111/1365-2664.14787https://hdl.handle.net/10459.1/467073reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a https://doi.org/10.1111/1365-2664.14787Journal of Applied Ecology, 2024, vol. 61, núm. 11, p. 2809-2821Attribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:recercat.cat:10459.1/4670732026-05-29T05:05:01Z
dc.title.none.fl_str_mv Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
title Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
spellingShingle Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
Martín-Vélez, Víctor
Agriculture
AMR
ARB
Connectivity
One heath
Risk maps
Wldlife
Yellow-legged gull
title_short Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
title_full Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
title_fullStr Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
title_full_unstemmed Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
title_sort Evil and allies: Opportunistic gulls as both spreaders and sentinels of antibiotic-resistant bacteria in human-transformed landscapes
dc.creator.none.fl_str_mv Martín-Vélez, Víctor
Montalvo, Tomás
Giralt, David
Ramírez, Francisco
Giménez, Joan
Morral-Puigmal, Clara
Planell, Raquel
Sabate, Sara
Bota, Gerard
Navarro, Joan
author Martín-Vélez, Víctor
author_facet Martín-Vélez, Víctor
Montalvo, Tomás
Giralt, David
Ramírez, Francisco
Giménez, Joan
Morral-Puigmal, Clara
Planell, Raquel
Sabate, Sara
Bota, Gerard
Navarro, Joan
author_role author
author2 Montalvo, Tomás
Giralt, David
Ramírez, Francisco
Giménez, Joan
Morral-Puigmal, Clara
Planell, Raquel
Sabate, Sara
Bota, Gerard
Navarro, Joan
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Agriculture
AMR
ARB
Connectivity
One heath
Risk maps
Wldlife
Yellow-legged gull
topic Agriculture
AMR
ARB
Connectivity
One heath
Risk maps
Wldlife
Yellow-legged gull
description Human-transformed residuals, especially those derived from human waste (dumps), farmland, and livestock are involved in the emergence of antibiotic-resistant bacteria (ARB) in the environment. Wildlife can act as vectors of ARB dispersal through different environments, but also as sentinels to detect the early spread and determine ARB sources. The development of integrated monitoring programmes focused on wildlife would help to anticipate the risks of ARB to humans and livestock. We used the yellow-legged gull (Larus michahellis) as a model species to investigate and monitor the spatial patterns of ARB dispersal across an extensive farmland region located in northeastern Spain (Lleida). By integrating GPS tracking data and ARB clinical testing for 26 individuals within a network analysis framework, we modelled the risk of spatial pathogen spread through faeces during the bacteria-transmission latency period (16 days after sample collection). Additionally, we created a connectivity network to determine the main sources of ARB in the area, focusing on three main habitats of special risk for infection: dumps, livestock facilities, and irrigation ponds. Seven individuals were infected by Escherichia coli, with one also co-infected with Listeria monocytogenes and Salmonella spp. Potential pathogen dispersal distances ranged from 1.13 km to 23.13 km from the breeding colony. Our network analyses revealed 54 main nodes (i.e. high-risk habitats recurrently visited by tracked gulls) and 1182 links among them. Our findings revealed a high degree of connectivity between the breeding area, located in a shallow lake, and nearby dumps, highlighting them as significant contributors to ARB dispersal. Synthesis and applications: The integration of GPS data, pathogen testing and network analyses can shed further light on pathogen dynamics by creating spatial risk maps and identifying ARB sources. In combination with complementary molecular epidemiology techniques within a One Health framework, our approach can emerge as an important tool for monitoring ARB dynamics within highly human-transformed ecosystems. This may empower managers for the development of targeted ARB monitoring programmes and effective mitigation strategies, ultimately improving both animal and public health.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1111/1365-2664.14787
https://hdl.handle.net/10459.1/467073
url https://doi.org/10.1111/1365-2664.14787
https://hdl.handle.net/10459.1/467073
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1111/1365-2664.14787
Journal of Applied Ecology, 2024, vol. 61, núm. 11, p. 2809-2821
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Ecological Society
publisher.none.fl_str_mv British Ecological Society
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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