Accumulation of population polymorphisms in the mitonuclear genome with probable adaptive effect to extreme environments as altitude for forensic purposes

Descripción del Articulo

We analyzed the accumulation of population polymorphism in 2504 individuals - nuclear genomes (nDNA) of 26 populations (81 genes associated to extreme environments) and 3295 mitochondrial genomes (mtDNA) of 47 populations with the aim to found mitonuclear relationship associated an extremes environm...

Descripción completa

Detalles Bibliográficos
Autores: Iannacone, G. C., Ramírez, P.
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/668778
Enlace del recurso:http://hdl.handle.net/10757/668778
Nivel de acceso:acceso abierto
Materia:DNA polymorphism
Extreme environmental
Forensic DNA
Genome
Mitonuclear interaction
Population genomic
Descripción
Sumario:We analyzed the accumulation of population polymorphism in 2504 individuals - nuclear genomes (nDNA) of 26 populations (81 genes associated to extreme environments) and 3295 mitochondrial genomes (mtDNA) of 47 populations with the aim to found mitonuclear relationship associated an extremes environment as altitude. For that, we use an algorithm developed by us to determine the accumulation of polymorphisms by segments in the genome and thus be able to perform the multivariate analysis to found SNPs differences and similarities among populations. The results showed in Peruvian population a statistically significant mitonuclear relationship for 113/293970 nDNA SNPs in 16/81 genes. In the case of the mtDNA, we found a statistically significant mitonuclear relationship for 6/22 mtDNA positions – Gene. Additionally for the Peruvian population, the MRPP3 had the greatest polymorphism contribution with respect to other populations. Then, these nDNA and mtDNA SNPs in genetically close populations to Peru can be applied to forensic genomic phenotyping to identify groups likely adapted to extreme conditions (such as altitude) or make individualization between low and high altitude populations.
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).