Autor: |
Garzón-Martínez GA; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia., Osorio-Guarín JA; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia., Delgadillo-Durán P; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia., Mayorga F; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia., Enciso-Rodríguez FE; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia., Landsman D; Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, United States of America, Bethesda, MD, USA., Mariño-Ramírez L; Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institute of Health, United States of America, Bethesda, MD, USA., Barrero LS; Tibaitatá Research Center, Colombian Corporation for Agricultural Research (CORPOICA), Km 14 vía Mosquera, Bogotá, Colombia ; Agrobiodiversity Department, National Direction of Research and Development, CORPOICA. |
Abstrakt: |
The genus Physalis is common in the Americas and includes several economically important species, among them Physalis peruviana that produces appetizing edible fruits. We studied the genetic diversity and population structure of P. peruviana and characterized 47 accessions of this species along with 13 accessions of related taxa consisting of 222 individuals from the Colombian Corporation of Agricultural Research (CORPOICA) germplasm collection, using Conserved Orthologous Sequences (COSII) and Immunity Related Genes (IRGs). In addition, 642 Single Nucleotide Polymorphism (SNPs) markers were identified and used for the genetic diversity analysis. A total of 121 alleles were detected in 24 InDels loci ranging from 2 to 9 alleles per locus, with an average of 5.04 alleles per locus. The average number of alleles in the SNP markers was two. The observed heterozygosity for P. peruviana with InDel and SNP markers was higher (0.48 and 0.59) than the expected heterozygosity (0.30 and 0.41). Interestingly, the observed heterozygosity in related taxa (0.4 and 0.12) was lower than the expected heterozygosity (0.59 and 0.25). The coefficient of population differentiation F ST was 0.143 (InDels) and 0.038 (SNPs), showing a relatively low level of genetic differentiation among P. peruviana and related taxa. Higher levels of genetic variation were instead observed within populations based on the AMOVA analysis. Population structure analysis supported the presence of two main groups and PCA analysis based on SNP markers revealed two distinct clusters in the P. peruviana accessions corresponding to their state of cultivation. In this study, we identified molecular markers useful to detect genetic variation in Physalis germplasm for assisting conservation and crossbreeding strategies. |