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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
07/07/2021 |
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Actualizado : |
27/06/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
MANISSE, N.; CABRERA, A.; HERNÁN, J.; COSSE, M.; GIANNITTI, F.; FRANCIA, M.E.; GONZÁLEZ, T.; IRIARTE, A.; RIET-CORREA, F.; ROBELLO, C.; GONZÁLEZ, S. |
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Afiliación : |
NATALIA MANISSE, Departamento de Biodiversidad y Genética, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avenida Italia 3318, 11600, Montevideo, Uruguay.; ANDRÉS CABRERA, Laboratorio de Interacciones Hospedero- Patógeno, Unidad de Biología Molecular Institut Pasteur de Montevideo, Mataojo 2020, 11400, Montevideo, Uruguay.; JUAN HERNÁN, Departamento de Biodiversidad y Genética, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avenida Italia 3318, 11600, Montevideo, Uruguay.; MARIANA COSSE, Departamento de Biodiversidad y Genética, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avenida Italia 3318, 11600, Montevideo, Uruguay.; FEDERICO GIANNITTI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA E. FRANCIA, Laboratorio de Interacciones Hospedero- Patógeno, Unidad de Biología Molecular Institut Pasteur de Montevideo, Mataojo 2020, 11400, Montevideo, Uruguay.; TELMA GONZÁLEZ, Departamento de Parasitología y Micología, Facultad de Medicina, Instituto de Higiene, Universidad de La República, Avenida Dr. Alfredo Navarro 3051, 11600, Montevideo, Uruguay.; ANDRÉS IRIARTE, Laboratorio de Biología Computacional, Departamento de Desarrollo Biotecnológico, Instituto de Higiene, Universidad de La República Facultad de Medicina, Avenida Dr. Alfredo Navarro 3051, 11600, Montevideo, Uruguay.; FRANKLIN RIET-CORREA AMARAL, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Programa de Pós-graduação em Ciência Animal nos Trópicos, Universidade Federal da Bahia, Salvador, Bahia, Brazil.; CARLOS ROBELLO, Laboratorio de Interacciones Hospedero- Patógeno, Unidad de Biología Molecular Institut Pasteur de Montevideo, Mataojo 2020, 11400, Montevideo, Uruguay.; SUSANA GONZÁLEZ, Departamento de Biodiversidad y Genética, Instituto de Investigaciones Biológicas Clemente Estable (IIBCE), Avenida Italia 3318, 11600, Montevideo, Uruguay. |
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Título : |
Molecular detection of coccidian Apicomplexa Parasites isolated from wild crab-eating and pampas foxes through novel TaqMan™ probes: a contribution to their molecular epidemiology. |
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Fecha de publicación : |
2021 |
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Fuente / Imprenta : |
Molecular Biology Reports, Volume 48, Pages 5013–5021, 2021. Doi: https://doi.org/10.1007/s11033-021-06492-w |
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DOI : |
10.1007/s11033-021-06492-w |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 24 November 2020 / Accepted: 11 June 2021. This study obtained fnancial support from Programa de
Desarrollo de Ciencias Básicas (PEDECIBA) and Agencia Nacional de Investigación e Innovación (FSSA_X_2014_1_106026). |
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Contenido : |
Abstract:
Neospora caninum, Toxoplasma gondii and Hammondia spp. are coccidian parasites similar in morphology. Molecular techniques are necessary to detect parasite DNA isolated from stool samples in wild canids because they were reported as defnitive hosts of N. caninum life cycle. The objective of this study was to develop a highly sensitive and accurate molecular method for the identifcation of coccidian Apicomplexa parasites in crab-eating fox (Cerdocyon thous) and pampas fox (Lycalopex gymnocercus). Tissue samples from road-killed animals (pampas fox=46, crab-eating fox=55) and feces (pampas fox=84, crab-eating fox=2) were collected, and species were diagnosed through molecular assay. PCR was used for the amplifcation of a fragment of the coccidian Apicomplexa nss-rRNA gene. Additionally, we developed a novel realtime PCR TaqMan? probe approach to detect T. gondii- Hammondia spp. and N. caninum. This is the frst report of N. caninum DNA in pampas fox feces (n=1), thus it was also detected from pampas fox tissues (n=1). Meanwhile, T. gondiiwas found in tissues of pampas (n=1) and crab-eating (n=1) foxes and H. trifttae in one crab-eating fox tissue. Despite the low percentage (2.5%) of positive samples, the molecular method developed in this study proved to be highly sensitive and accurate allowing to conduct an extensive monitoring analysis for these parasites in wildlife. |
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Palabras claves : |
Hammondia spp; NEOSPOROSIS; Neotropical canids; PLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL; PLATAFORMA DE SALUD ANIMAL; Real-time PCR; TOXOPLASMOSIS. |
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Asunto categoría : |
E16 Enfermedades de los animales |
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Marc : |
LEADER 02795naa a2200349 a 4500
001 1062284
005 2022-06-27
008 2021 bl uuuu u00u1 u #d
024 7 $a10.1007/s11033-021-06492-w$2DOI
100 1 $aMANISSE, N.
245 $aMolecular detection of coccidian Apicomplexa Parasites isolated from wild crab-eating and pampas foxes through novel TaqMan™ probes$ba contribution to their molecular epidemiology.$h[electronic resource]
260 $c2021
500 $aArticle history: Received: 24 November 2020 / Accepted: 11 June 2021. This study obtained fnancial support from Programa de Desarrollo de Ciencias Básicas (PEDECIBA) and Agencia Nacional de Investigación e Innovación (FSSA_X_2014_1_106026).
520 $aAbstract: Neospora caninum, Toxoplasma gondii and Hammondia spp. are coccidian parasites similar in morphology. Molecular techniques are necessary to detect parasite DNA isolated from stool samples in wild canids because they were reported as defnitive hosts of N. caninum life cycle. The objective of this study was to develop a highly sensitive and accurate molecular method for the identifcation of coccidian Apicomplexa parasites in crab-eating fox (Cerdocyon thous) and pampas fox (Lycalopex gymnocercus). Tissue samples from road-killed animals (pampas fox=46, crab-eating fox=55) and feces (pampas fox=84, crab-eating fox=2) were collected, and species were diagnosed through molecular assay. PCR was used for the amplifcation of a fragment of the coccidian Apicomplexa nss-rRNA gene. Additionally, we developed a novel realtime PCR TaqMan? probe approach to detect T. gondii- Hammondia spp. and N. caninum. This is the frst report of N. caninum DNA in pampas fox feces (n=1), thus it was also detected from pampas fox tissues (n=1). Meanwhile, T. gondiiwas found in tissues of pampas (n=1) and crab-eating (n=1) foxes and H. trifttae in one crab-eating fox tissue. Despite the low percentage (2.5%) of positive samples, the molecular method developed in this study proved to be highly sensitive and accurate allowing to conduct an extensive monitoring analysis for these parasites in wildlife.
653 $aHammondia spp
653 $aNEOSPOROSIS
653 $aNeotropical canids
653 $aPLATAFORMA DE INVESTIGACIÓN EN SALUD ANIMAL
653 $aPLATAFORMA DE SALUD ANIMAL
653 $aReal-time PCR
653 $aTOXOPLASMOSIS
700 1 $aCABRERA, A.
700 1 $aHERNÁN, J.
700 1 $aCOSSE, M.
700 1 $aGIANNITTI, F.
700 1 $aFRANCIA, M.E.
700 1 $aGONZÁLEZ, T.
700 1 $aIRIARTE, A.
700 1 $aRIET-CORREA, F.
700 1 $aROBELLO, C.
700 1 $aGONZÁLEZ, S.
773 $tMolecular Biology Reports, Volume 48, Pages 5013–5021, 2021. Doi: https://doi.org/10.1007/s11033-021-06492-w
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/05/2022 |
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Actualizado : |
17/05/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
PACHECO-ROMERO, M.; VALLEJOS, M.; PARUELO, J.; ALCARAZ-SEGURA, D.; TORRES-GARCÍA, M. T.; SALINAS-BONILLO, M. J.; CABELLO, JAVIER |
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Afiliación : |
MANUEL PACHECO-ROMERO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain; Dept. of Biology and Geology, Univ. of Almería, Spain; Faculty of Sustainability, Leuphana, Univ. Lüneburg, Germany.; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, Univ. de Buenos Aires, Bs.As., Argentina; Fac. de Ciencias, IECA, Universidad de la República, Mdeo, Uruguay.; DOMINGO ALCARAZ-SEGURA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain;Dept. of Botany, Univ. of Granada, Spain; Iecolab, Interuniversity Institute for Earth System Research (IISTA), Univ. of Granada, Spain; M. TRINIDAD TORRES-GARCÍA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain; MARÍA J. SALINAS-BONILLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain; JAVIER CABELLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain Department of Biology and Geology, University of Almería, Almería, Spain. |
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Título : |
A data-driven methodological routine to identify key indicators for social-ecological system archetype mapping. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Environmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded |
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ISSN : |
1748-9318 |
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DOI : |
10.1088/1748-9326/ac5ded |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022.
License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must
maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access.
Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es --
Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme. |
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Contenido : |
ABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis.
© 2022 The Author(s). Published by IOP Publishing Ltd. MenosABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock prod... Presentar Todo |
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Palabras claves : |
Coupled human and natural systems; Essential social-ecological system variables; Human-environment interactions; LONG-TERM SOCIAL-ECOLOGICAL RESEARCH; LTSER; Random forest; SOCIAL-ECOLOGICAL SYSTEM FRAMEWORK. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/ac5ded/pdf
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Marc : |
LEADER 04770naa a2200313 a 4500
001 1063148
005 2022-05-17
008 2022 bl uuuu u00u1 u #d
022 $a1748-9318
024 7 $a10.1088/1748-9326/ac5ded$2DOI
100 1 $aPACHECO-ROMERO, M.
245 $aA data-driven methodological routine to identify key indicators for social-ecological system archetype mapping.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022. License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access. Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es -- Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme.
520 $aABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis. © 2022 The Author(s). Published by IOP Publishing Ltd.
653 $aCoupled human and natural systems
653 $aEssential social-ecological system variables
653 $aHuman-environment interactions
653 $aLONG-TERM SOCIAL-ECOLOGICAL RESEARCH
653 $aLTSER
653 $aRandom forest
653 $aSOCIAL-ECOLOGICAL SYSTEM FRAMEWORK
700 1 $aVALLEJOS, M.
700 1 $aPARUELO, J.
700 1 $aALCARAZ-SEGURA, D.
700 1 $aTORRES-GARCÍA, M. T.
700 1 $aSALINAS-BONILLO, M. J.
700 1 $aCABELLO, JAVIER
773 $tEnvironmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded
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