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dc.contributor.author
Pisciottano, Francisco  
dc.contributor.author
Tarifa Reischle, Inti Carlos  
dc.contributor.author
Pegueroles Queralt, Cinta  
dc.contributor.author
Willis, Jesse R.  
dc.contributor.author
Julca Chavez, Irene Consuelo  
dc.contributor.author
Gabaldón, Toni  
dc.contributor.author
Saragueta, Patricia Esther  
dc.date.available
2021-05-06T17:10:27Z  
dc.date.issued
2018  
dc.identifier.citation
Determining population structure among Argentinian jaguars (Panthera onca); Exploring Genomic Landscapes EMBO Workshop; San Pedro de Atacama; Chile; 2018; 33  
dc.identifier.uri
http://hdl.handle.net/11336/131532  
dc.description.abstract
The jaguar (Panthera onca) is the largest felid in America and the most emblematic South American predator. This carnivore species holds a high environmental importance in all ecosystems it inhabits for its apex predator role. Jaguar populations have suffered an important decline over the last century and today this species is considered as critically endangered in Argentina. Ensuring the sustainability of the<br />remaining jaguar populations demands a high degree of knowledge about the current state of their genetic variability levels and a description of population structure is essential, especially to allow rational translocation and reintroduction actions. The first jaguar reference genome was released in<br />2017 (Figueiro et al. 2017) by the Jaguar Genome Project, a consortium we integrate.<br />With the aim of generating useful resources and information for the jaguar genetics and conservation from the genomic perspective, we carried out the whole genome sequencing of 9 jaguar samples using Illumina 2500 NSG technology. Here we present the first results obtained from these 9 genomes<br />compared to the reference. We performed a population structure analysis in order to estimate the optimal number of populations present in our data and a Multiple Correspondece Analysis (MCA) clustering of our samples based on over 280.000 homozygous variable positions in their genomes. The<br />estimation of the optimal number of populations present among our samples resulted in 6, according to the Structure analysis. However, the MCA clustering analysis only revealed 5 groups of individuals. The main genetic cluster of animal obtained is integrated by captive animals from zoos and natural reserves and surprisingly a Paraguayan male. Apart from this central group, a wild Argentinian sample from Misiones (a province in the north-east of the country) was located. Also, an animal of Uruguayan origin and the reference, built from a Brazilian animal, located in individual clusters.<br />More work including heterozygous variable position analysis will be performed to better describe the genetic variability among the sequenced jaguar genomes and accurately describe the current genetic situation and population structure of this species in Argentinian territory.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
EMBO  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
JAGUAR  
dc.subject
POPULATION  
dc.subject
STRUCTURE  
dc.subject
GENOME  
dc.subject.classification
Ciencias de la Información y Bioinformática  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.subject.classification
Conservación de la Biodiversidad  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Determining population structure among Argentinian jaguars (Panthera onca)  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.type
info:eu-repo/semantics/conferenceObject  
dc.type
info:ar-repo/semantics/documento de conferencia  
dc.date.updated
2021-04-27T13:36:51Z  
dc.journal.pagination
33  
dc.journal.pais
Chile  
dc.journal.ciudad
San Pedro de Atacama  
dc.description.fil
Fil: Pisciottano, Francisco. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina  
dc.description.fil
Fil: Tarifa Reischle, Inti Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina  
dc.description.fil
Fil: Pegueroles Queralt, Cinta. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; España  
dc.description.fil
Fil: Willis, Jesse R.. Centro de Regulación Genómica; España  
dc.description.fil
Fil: Julca Chavez, Irene Consuelo. Centro de Regulación Genómica; España. Universitat Pompeu Fabra; España  
dc.description.fil
Fil: Gabaldón, Toni. Centro de Regulación Genómica; España. Institució Catalana de Recerca i Estudis Avançats ; España  
dc.description.fil
Fil: Saragueta, Patricia Esther. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Química Biológica; Argentina  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.atacamagenomes.cl/ewExternalFiles/Program%20Abstracts%20Atacama%20Workshop.pdf  
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Autor  
dc.coverage
Internacional  
dc.type.subtype
Taller  
dc.description.nombreEvento
Exploring Genomic Landscapes EMBO Workshop  
dc.date.evento
2018-01-10  
dc.description.ciudadEvento
San Pedro de Atacama  
dc.description.paisEvento
Chile  
dc.type.publicacion
Book  
dc.description.institucionOrganizadora
EMBO  
dc.description.institucionOrganizadora
Center for Genomic Regulation  
dc.source.libro
Exploring genomic landscapes: an EMBO workshop: abstracts  
dc.source.revista
libro de resúmenes del Exploring Genomic Landscapes EMBO Workshop  
dc.date.eventoHasta
2018-01-12  
dc.type
Taller