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      Algerian Olive Germplasm and Its Relationships with the Central-Western Mediterranean Varieties Contributes to Clarify Cultivated Olive Diversification

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          Abstract

          Olive tree with its main final product, olive oil, is an important element of Mediterranean history, considered the emblematic fruit of a civilization. Despite its wide diffusion and economic and cultural importance, its evolutionary and phylogenetic history is still difficult to clarify. As part of the Mediterranean basin, Algeria was indicated as a secondary diversification center. However, genetic characterization studies from Maghreb area, are currently underrepresented. In this context, we characterized 119 endemic Algerian accessions by using 12 microsatellite markers with the main goal to evaluate the genetic diversity and population structure. In order to provide new insights about the history of olive diversification events in the Central-Western Mediterranean basin, we included and analyzed a sample of 103 Italian accessions from Sicily and, a set of molecular profiles of cultivars from the Central-Western Mediterranean area. The phylogenetic investigation let us to evaluate genetic relationships among Central-Mediterranean basin olive germplasm, highlight new synonymy cases to support the importance of vegetative propagation in the cultivated olive diffusion and consolidate the hypothesis of more recent admixture events occurrence. This work provided new information about Algerian germplasm biodiversity and contributed to clarify olive diversification process.

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          Detecting the number of clusters of individuals using the software structure: a simulation study

          The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
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            STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

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              genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Plants (Basel)
                Plants (Basel)
                plants
                Plants
                MDPI
                2223-7747
                01 April 2021
                April 2021
                : 10
                : 4
                : 678
                Affiliations
                [1 ]Council for Agricultural Research and Economics-Research Centre for Olive, Fruit and Citrus Crops, 87036 Rende, Italy; kamalatrouz@ 123456gmail.com (K.A.); amelia.salimonti@ 123456crea.gov.it (A.S.)
                [2 ]Department of Biology and Plant Ecology, Faculty of Natural Sciences and Life, Frères, Mentouri University, Constantine 25000, Algeria; bousbaratiba@ 123456gmail.com (R.B.); hamza_harkat@ 123456yahoo.com (H.H.)
                [3 ]Department of Architecture, University of Palermo, 90128 Palermo, Italy; francescopaolo.marra@ 123456unipa.it
                [4 ]Department of Agricultural, Food and Forest Sciences, University of Palermo, 90128 Palermo, Italy; annalisa.marchese@ 123456unipa.it
                [5 ]Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, 87036 Rende, Italy; francescaluisa.conforti@ 123456unical.it (F.L.C.); benedetta.perrone90@ 123456gmail.com (B.P.)
                Author notes
                Author information
                https://orcid.org/0000-0003-1490-0619
                https://orcid.org/0000-0002-6816-6184
                https://orcid.org/0000-0002-2452-5309
                Article
                plants-10-00678
                10.3390/plants10040678
                8066573
                33916098
                3135141f-9f61-4a1f-8158-2b7af06ec71c
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 06 March 2021
                : 26 March 2021
                Categories
                Article

                algerian olive germplasm,phylogenesis analysis,biodiversity

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