Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia
This study evaluated the influence of environmental heterogeneity on Anopheles darlingi genetic and morphometric traits at a microgeographic level. Specimens of An. darlingi collected from multiple municipalities in the Colombian malaria endemic region Urabá-Bajo Cauca and Alto Sinú (UCS) were analy...
- Autores:
-
Altamiranda Saavedra, Mariano Augusto
Conn, Jan E.
Correa Ochoa, Margarita María
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2017
- Institución:
- Tecnológico de Antioquia
- Repositorio:
- Repositorio Tdea
- Idioma:
- eng
- OAI Identifier:
- oai:dspace.tdea.edu.co:tdea/3822
- Acceso en línea:
- https://dspace.tdea.edu.co/handle/tdea/3822
- Palabra clave:
- Morfometría
Morphometrics
Morphométrie
Malaria
Genética
Genetics
Génétique
Anopheles
Variación Biológica Poblacional
Biological Variation, Population
Variação Biológica da População
Variation intra-population
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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| dc.title.none.fl_str_mv |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| title |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| spellingShingle |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia Morfometría Morphometrics Morphométrie Malaria Genética Genetics Génétique Anopheles Variación Biológica Poblacional Biological Variation, Population Variação Biológica da População Variation intra-population |
| title_short |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| title_full |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| title_fullStr |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| title_full_unstemmed |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| title_sort |
Genetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia |
| dc.creator.fl_str_mv |
Altamiranda Saavedra, Mariano Augusto Conn, Jan E. Correa Ochoa, Margarita María |
| dc.contributor.author.none.fl_str_mv |
Altamiranda Saavedra, Mariano Augusto Conn, Jan E. Correa Ochoa, Margarita María |
| dc.subject.other.none.fl_str_mv |
Morfometría Morphometrics Morphométrie |
| topic |
Morfometría Morphometrics Morphométrie Malaria Genética Genetics Génétique Anopheles Variación Biológica Poblacional Biological Variation, Population Variação Biológica da População Variation intra-population |
| dc.subject.agrovoc.none.fl_str_mv |
Malaria |
| dc.subject.decs.none.fl_str_mv |
Genética Genetics Génétique Anopheles Variación Biológica Poblacional Biological Variation, Population Variação Biológica da População Variation intra-population |
| description |
This study evaluated the influence of environmental heterogeneity on Anopheles darlingi genetic and morphometric traits at a microgeographic level. Specimens of An. darlingi collected from multiple municipalities in the Colombian malaria endemic region Urabá-Bajo Cauca and Alto Sinú (UCS) were analyzed using 13 microsatellite loci. Spatial genetic structure, population variation and wing geometric morphometric analyses were performed. Microsatellite results showed low genetic differentiation and high gene flow among populations; four highly admixed subpopulations were detected with no particular association to the municipalities. Wing geometric morphometrics analysis showed a subtle but significant difference in wing shape for El Bagre vs. Mutatá populations, possibly influenced by geographical distance. Discrimination among populations in the morphospace showed a slight separation of the Tierralta population. There was no significant correlation between the genetic and geographic or genetic and environmental distances. We hypothesize that environmental heterogeneity in the UCS region does not reach a threshold to affect population structure of An. darlingi. Another possibility is that microsatellites are not sensitive enough to detect existing structure. It remains to be determined which local factors govern phenotypic variation among these populations and how, or whether these may affect mosquito biology and transmission capacity. |
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2017 |
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2017 |
| dc.date.accessioned.none.fl_str_mv |
2023-08-30T22:55:47Z |
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2023-08-30T22:55:47Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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Text |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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1567-1348 |
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https://dspace.tdea.edu.co/handle/tdea/3822 |
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1567-7257 |
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eng |
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eng |
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151 |
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143 |
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56 |
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Infección, genética y evolución |
| dc.relation.references.spa.fl_str_mv |
D. Ayala et al. Chromosomal and environmental determinants of morphometric variation in natural populations of the malaria vector Anopheles funestus in Cameroon Infect. Genet. Evol. (2011) A.V. Cienfuegos et al. Evaluation of a PCR-RFLP-ITS2 assay for discrimination of Anopheles species in northern and western Colombia Acta Trop. (2011) J.-P. Dujardin Morphometrics applied to medical entomology Infect. Genet. Evol. (2008) G.F. Gómez et al. Geometric morphometric analysis of Colombian Anopheles albimanus (Diptera: Culicidae) reveals significant effect of environmental factors on wing traits and presence of a metapopulation Acta Trop. (2014) T. Lehmann et al. The molecular forms of Anopheles gambiae: a phenotypic perspective Infect. Genet. Evol. (2008) J.R. Loaiza et al. Review of genetic diversity in malaria vectors (Culicidae: Anophelinae) Infect. Genet. Evol. (2012) M.T. Motoki et al. Wing geometry of Anopheles darlingi Root (Diptera: Culicidae) in five major Brazilian ecoregions Infect. Genet. Evol. (2012) N. Naranjo-Díaz et al. Behavior and population structure of Anopheles darlingi in Colombia Infect. Genet. Evol. (2016) S.J. Phillips et al. Maximum entropy modeling of species geographic distributions Ecol. Model. (2006) N.L. Achee et al. Biting patterns and seasonal densities of Anopheles mosquitoes in the Cayo District, Belize, Central America with emphasis on Anopheles darlingi J. Vector Ecol. (2006) M.L. Ahumada et al. Comportamiento de picadura de Anopheles darlingi Root, 1926 (Diptera: Culicidae) y su asociación con la transmisión de malaria en Villavicencio (Meta, Colombia) Biomedica (2013) A.F. Angêlla et al. Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi Malar. J. (2014) M. Ashfaq et al. Analyzing mosquito (Diptera: Culicidae) diversity in Pakistan by DNA barcoding PLoS One (2014) F.L. Bookstein Morphometric Tools for Landmark Data: Geometry and Biology (1997) M. Campos et al. Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers Parasit. Vectors (2017) B. Caputo et al. Prominent intraspecific genetic divergence within Anopheles gambiae sibling species triggered by habitat discontinuities across a riverine landscape Mol. Ecol. (2014) J.D. Charlwood Biological variation in Anopheles darlingi root Mem. Inst. Oswaldo Cruz (1996) L. Chikhi et al. GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Lab. Génome, Popul. Interact. CNRS Umr 5000, Univ. Montpellier (2004) A. Cienfuegos et al. Diseño y evaluación de metodologías basadas en PCR–RFLP de ITS2 para la identificación molecular de mosquitos Anopheles spp. (Diptera: Culicidae) de la Costa Pacífica de Colombia Rev. Biomed. (2008) J.E. Conn et al. Chapter 5 – ecology of Anopheles darlingi, the primary malaria vector in the Americas and current nongenetic methods of vector control J.E. Conn et al. Molecular population genetics of the primary neotropical malaria vector Anopheles darlingi using mtDNA J. Am. Mosq. Control Assoc. (1999) J.A.N.E. Conn et al. Isolation of polymorphic microsatellite markers from the malaria vector Anopheles darlingi Mol. Ecol. Notes (2001) J.E. Conn et al. Population structure of the malaria vector Anopheles darlingi in a malaria-endemic region of eastern Amazonian Brazil Am. J. Trop. Med. Hyg. (2006) J.E. Conn et al. Phylogeography, vectors and transmission in Latin America D.A. Earl et al. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method Conserv. Genet. Resour. (2012) K.J. Emerson et al. Brazilian Anopheles darlingi root (Diptera: Culicidae) clusters by major biogeographical region PLoS One (2015) G. Evanno et al. Detecting the number of clusters of individuals using the software structure: a simulation study Mol. Ecol. (2005) L. Excoffier et al. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows Mol. Ecol. Resour. (2010) D. Falush et al. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies Genetics (2003) H. Feilhauer et al. Modeling species distribution using niche-based proxies derived from composite bioclimatic variables and MODIS NDVI Remote Sens. (2012) O. Folmer et al. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates Mol. Mar. Biol. Biotechnol. (1994) L. Francuski et al. Genetic and phenotypic variation in central and northern European populations of Aedes (Aedimorphus) vexans (Meigen, 1830) (Diptera: Culicidae) J. Vector Ecol. (2016) J.C. Glaubitz CONVERT: a user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages Mol. Ecol. Notes (2004) G. Gómez et al. Wing geometric morphometrics and molecular assessment of members in the Albitarsis Complex from Colombia Mol. Ecol. Resour. (2013) R. Gonzalez et al. Introducción al estudio taxonómico de Anopheles de Colombia Claves y notas de distribución (2009) |
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Altamiranda Saavedra, Mariano Augusto24e8d03f-69f2-4f3b-9982-7a16d1d76798Conn, Jan E.4e2f2c36-7f7f-4170-b945-ee0677fc371cCorrea Ochoa, Margarita María79a59312-c373-4e21-8331-f2a4867fd5b6Noroeste de Colombia2023-08-30T22:55:47Z2023-08-30T22:55:47Z20171567-1348https://dspace.tdea.edu.co/handle/tdea/38221567-7257This study evaluated the influence of environmental heterogeneity on Anopheles darlingi genetic and morphometric traits at a microgeographic level. Specimens of An. darlingi collected from multiple municipalities in the Colombian malaria endemic region Urabá-Bajo Cauca and Alto Sinú (UCS) were analyzed using 13 microsatellite loci. Spatial genetic structure, population variation and wing geometric morphometric analyses were performed. Microsatellite results showed low genetic differentiation and high gene flow among populations; four highly admixed subpopulations were detected with no particular association to the municipalities. Wing geometric morphometrics analysis showed a subtle but significant difference in wing shape for El Bagre vs. Mutatá populations, possibly influenced by geographical distance. Discrimination among populations in the morphospace showed a slight separation of the Tierralta population. There was no significant correlation between the genetic and geographic or genetic and environmental distances. We hypothesize that environmental heterogeneity in the UCS region does not reach a threshold to affect population structure of An. darlingi. Another possibility is that microsatellites are not sensitive enough to detect existing structure. It remains to be determined which local factors govern phenotypic variation among these populations and how, or whether these may affect mosquito biology and transmission capacity.9 páginasimage/jpegengElsevierAmsterdamhttps://www.sciencedirect.com/science/article/abs/pii/S156713481730391XMorfometríaMorphometricsMorphométrieMalariaGenéticaGeneticsGénétiqueAnophelesVariación Biológica PoblacionalBiological Variation, PopulationVariação Biológica da PopulaçãoVariation intra-populationGenetic structure and phenotypic variation of Anopheles darlingi in northwest ColombiaArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a8515114356Infección, genética y evoluciónD. Ayala et al. Chromosomal and environmental determinants of morphometric variation in natural populations of the malaria vector Anopheles funestus in Cameroon Infect. Genet. Evol. (2011)A.V. Cienfuegos et al. Evaluation of a PCR-RFLP-ITS2 assay for discrimination of Anopheles species in northern and western Colombia Acta Trop. (2011)J.-P. Dujardin Morphometrics applied to medical entomology Infect. Genet. Evol. (2008)G.F. Gómez et al. Geometric morphometric analysis of Colombian Anopheles albimanus (Diptera: Culicidae) reveals significant effect of environmental factors on wing traits and presence of a metapopulation Acta Trop. (2014)T. Lehmann et al. The molecular forms of Anopheles gambiae: a phenotypic perspective Infect. Genet. Evol. (2008)J.R. Loaiza et al. Review of genetic diversity in malaria vectors (Culicidae: Anophelinae) Infect. Genet. Evol. (2012)M.T. Motoki et al. Wing geometry of Anopheles darlingi Root (Diptera: Culicidae) in five major Brazilian ecoregions Infect. Genet. Evol. (2012)N. Naranjo-Díaz et al. Behavior and population structure of Anopheles darlingi in Colombia Infect. Genet. Evol. (2016)S.J. Phillips et al. Maximum entropy modeling of species geographic distributions Ecol. Model. (2006)N.L. Achee et al. Biting patterns and seasonal densities of Anopheles mosquitoes in the Cayo District, Belize, Central America with emphasis on Anopheles darlingi J. Vector Ecol. (2006)M.L. Ahumada et al. Comportamiento de picadura de Anopheles darlingi Root, 1926 (Diptera: Culicidae) y su asociación con la transmisión de malaria en Villavicencio (Meta, Colombia) Biomedica (2013)A.F. Angêlla et al. Seasonal genetic partitioning in the neotropical malaria vector, Anopheles darlingi Malar. J. (2014)M. Ashfaq et al. Analyzing mosquito (Diptera: Culicidae) diversity in Pakistan by DNA barcoding PLoS One (2014)F.L. Bookstein Morphometric Tools for Landmark Data: Geometry and Biology (1997)M. Campos et al. Microgeographical structure in the major Neotropical malaria vector Anopheles darlingi using microsatellites and SNP markers Parasit. Vectors (2017)B. Caputo et al. Prominent intraspecific genetic divergence within Anopheles gambiae sibling species triggered by habitat discontinuities across a riverine landscape Mol. Ecol. (2014)J.D. Charlwood Biological variation in Anopheles darlingi root Mem. Inst. Oswaldo Cruz (1996)L. Chikhi et al. GENETIX 4.05, logiciel sous Windows TM pour la génétique des populations. Lab. Génome, Popul. Interact. CNRS Umr 5000, Univ. Montpellier (2004)A. Cienfuegos et al. Diseño y evaluación de metodologías basadas en PCR–RFLP de ITS2 para la identificación molecular de mosquitos Anopheles spp. (Diptera: Culicidae) de la Costa Pacífica de Colombia Rev. Biomed. (2008)J.E. Conn et al. Chapter 5 – ecology of Anopheles darlingi, the primary malaria vector in the Americas and current nongenetic methods of vector controlJ.E. Conn et al. Molecular population genetics of the primary neotropical malaria vector Anopheles darlingi using mtDNA J. Am. Mosq. Control Assoc. (1999)J.A.N.E. Conn et al. Isolation of polymorphic microsatellite markers from the malaria vector Anopheles darlingi Mol. Ecol. Notes (2001)J.E. Conn et al. Population structure of the malaria vector Anopheles darlingi in a malaria-endemic region of eastern Amazonian Brazil Am. J. Trop. Med. Hyg. (2006)J.E. Conn et al. Phylogeography, vectors and transmission in Latin AmericaD.A. Earl et al. STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method Conserv. Genet. Resour. (2012)K.J. Emerson et al. Brazilian Anopheles darlingi root (Diptera: Culicidae) clusters by major biogeographical region PLoS One (2015)G. Evanno et al. Detecting the number of clusters of individuals using the software structure: a simulation study Mol. Ecol. (2005)L. Excoffier et al. Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows Mol. Ecol. Resour. (2010)D. Falush et al. Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies Genetics (2003)H. Feilhauer et al. Modeling species distribution using niche-based proxies derived from composite bioclimatic variables and MODIS NDVI Remote Sens. (2012)O. Folmer et al. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates Mol. Mar. Biol. Biotechnol. (1994)L. Francuski et al. Genetic and phenotypic variation in central and northern European populations of Aedes (Aedimorphus) vexans (Meigen, 1830) (Diptera: Culicidae) J. Vector Ecol. (2016)J.C. Glaubitz CONVERT: a user-friendly program to reformat diploid genotypic data for commonly used population genetic software packages Mol. Ecol. Notes (2004)G. Gómez et al. Wing geometric morphometrics and molecular assessment of members in the Albitarsis Complex from Colombia Mol. Ecol. Resour. (2013)R. Gonzalez et al. Introducción al estudio taxonómico de Anopheles de Colombia Claves y notas de distribución (2009)info:eu-repo/semantics/closedAccesshttp://purl.org/coar/access_right/c_14cbTHUMBNAILGenetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia.jpg.jpgGenetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia.jpg.jpgGenerated Thumbnailimage/jpeg14781https://dspace.tdea.edu.co/bitstream/tdea/3822/3/Genetic%20structure%20and%20phenotypic%20variation%20of%20Anopheles%20darlingi%20in%20northwest%20Colombia.jpg.jpg9b87b49cf3d9ab48d900e998ac70b68dMD53open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://dspace.tdea.edu.co/bitstream/tdea/3822/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessORIGINALGenetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia.jpgGenetic structure and phenotypic variation of Anopheles darlingi in northwest Colombia.jpgDatos del documentoimage/jpeg318116https://dspace.tdea.edu.co/bitstream/tdea/3822/1/Genetic%20structure%20and%20phenotypic%20variation%20of%20Anopheles%20darlingi%20in%20northwest%20Colombia.jpg82fa1404b3adc64dc8b0a7beabcdf4ffMD51open accesstdea/3822oai:dspace.tdea.edu.co:tdea/38222023-08-31 03:02:48.458open accessRepositorio Institucional Tecnologico de 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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