Assessment of the genetic diversity and population structure of the peruvian andean legume, tarwi (Lupinus mutabilis), with high quality SNPs

Descripción del Articulo

Lupinus mutabilis Sweet (Fabaceae), “tarwi” or “chocho”, is an important grain legume in the Andean region. In Peru, studies on tarwi have mainly focused on morphological features; however, they have not been molecularly characterized. Currently, it is possible to explore the genetic parameters of p...

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Detalles Bibliográficos
Autores: Huaringa Joaquin, Amelia Wite, Saldaña Serrano, Carla Lizet, Saravia Navarro, David, García Bendezú, Sady, Rodriguez Grados, Pedro Manuel, Salazar Coronel, Wilian, Camarena Mayta, Felix, Injante Silva, Pedro Hugo, Arbizu Berrocal, Carlos Irvin
Formato: artículo
Fecha de Publicación:2023
Institución:Instituto Nacional de Innovación Agraria
Repositorio:INIA-Institucional
Lenguaje:inglés
OAI Identifier:oai:null:20.500.12955/2132
Enlace del recurso:https://hdl.handle.net/20.500.12955/2132
https://doi.org/10.3390/d15030437
Nivel de acceso:acceso abierto
Materia:Fabaceae
Bioinformatics
Molecular markers
Neglected crop
Genomics
https://purl.org/pe-repo/ocde/ford#4.04.00
Genetic markers
Genetic diversity (as resource)
Lupinus mutabilis
Single nucleotide polymorphism
Descripción
Sumario:Lupinus mutabilis Sweet (Fabaceae), “tarwi” or “chocho”, is an important grain legume in the Andean region. In Peru, studies on tarwi have mainly focused on morphological features; however, they have not been molecularly characterized. Currently, it is possible to explore the genetic parameters of plants with reliable and modern methods such as genotyping by sequencing (GBS). Here, for the first time, we used single nucleotide polymorphism (SNP) markers to infer the genetic diversity and population structure of 89 accessions of tarwi from nine Andean regions of Peru. A total of 5922 SNPs distributed along all chromosomes of tarwi were identified. STRUCTURE analysis revealed that this crop is grouped into two clusters. A dendrogram was generated using the UPGMA clustering algorithm and, like the principal coordinate analysis (PCoA), it showed two groups that correspond to the geographic origin of the tarwi samples. AMOVA showed a reduced variation between clusters (7.59%) and indicated that variability within populations is 92.41%. Population divergence (Fst) between clusters 1 and 2 revealed low genetic difference (0.019). We also detected a negative Fis for both populations, demonstrating that, like other Lupinus species, tarwi also depends on cross-pollination. SNP markers were powerful and effective for the genotyping process in this germplasm. We hope that this information is the beginning of the path towards a modern genetic improvement and conservation strategies of this important Andean legume.
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