TY - JOUR T1 - Genetic Markers Analyses and Bioinformatic Approaches to Distinguish Between Olive Tree (Olea europaea L.) Cultivars. AU - Ben Ayed,Rayda, AU - Ben Hassen,Hanen, AU - Ennouri,Karim, AU - Rebai,Ahmed, Y1 - 2016/02/29/ PY - 2015/04/17/received PY - 2015/10/23/accepted PY - 2015/10/19/revised PY - 2016/3/1/pubmed PY - 2017/5/10/medline PY - 2016/3/1/entrez KW - Bioinformatic approaches KW - Classification KW - Cultivars KW - Markers KW - Olea europaea L. KW - Olive oil KW - PCoA KW - UPGMA SP - 366 EP - 373 JF - Interdisciplinary sciences, computational life sciences JO - Interdiscip Sci VL - 8 IS - 4 N2 - The genetic diversity of 22 olive tree cultivars (Olea europaea L.) sampled from different Mediterranean countries was assessed using 5 SNP markers (FAD2.1; FAD2.3; CALC; SOD and ANTHO3) located in four different genes. The genotyping analysis of the 22 cultivars with 5 SNP loci revealed 11 alleles (average 2.2 per allele). The dendrogram based on cultivar genotypes revealed three clusters consistent with the cultivars classification. Besides, the results obtained with the five SNPs were compared to those obtained with the SSR markers using bioinformatic analyses and by computing a cophenetic correlation coefficient, indicating the usefulness of the UPGMA method for clustering plant genotypes. Based on principal coordinate analysis using a similarity matrix, the first two coordinates, revealed 54.94 % of the total variance. This work provides a more comprehensive explanation of the diversity available in Tunisia olive cultivars, and an important contribution for olive breeding and olive oil authenticity. SN - 1867-1462 UR - https://www.unboundmedicine.com/medline/citation/26923146/Genetic_Markers_Analyses_and_Bioinformatic_Approaches_to_Distinguish_Between_Olive_Tree__Olea_europaea_L___Cultivars_ DB - PRIME DP - Unbound Medicine ER -