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      SSR‐based DNA fingerprinting of fruit crops

      1 , 1 , 1 , 1
      Crop Science
      Wiley

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          Abstract

          The DNA fingerprinting of fruit crops, based on DNA microsatellite markers that are considered to be the key markers for the molecular analysis of germplasm collections, is reviewed. Simple sequence repeats (SSRs) remain the markers of choice for fingerprinting in humans, animals, plants, and other living organisms. This review, that considers 44 fruit species, provides a set of markers that are suitable for profiling accessions and that should make the databases produced in different laboratories more comparable. Every effort has been made to select SSR markers that are robust and easily scorable considering that such analyses are sometimes used in legal cases. The review first describes the basic protocols, procedures, and methods of data analyses; it then describes the fingerprinting of individual species or groups of species, providing a set of SSR markers and appropriate guidance based on the revised literature and on the authors’ experience.

          Core Ideas

          • DNA‐based fingerprinting is a modern molecular approach to characterize germplasm resources.

          • SSR (simple sequence repeats) or microsatellites are nowadays the molecular markers of election for genotyping.

          • This review reports protocols and markers selected for fingerprinting 44 fruit crop species.

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          The grapevine genome sequence suggests ancestral hexaploidization in major angiosperm phyla.

          The analysis of the first plant genomes provided unexpected evidence for genome duplication events in species that had previously been considered as true diploids on the basis of their genetics. These polyploidization events may have had important consequences in plant evolution, in particular for species radiation and adaptation and for the modulation of functional capacities. Here we report a high-quality draft of the genome sequence of grapevine (Vitis vinifera) obtained from a highly homozygous genotype. The draft sequence of the grapevine genome is the fourth one produced so far for flowering plants, the second for a woody species and the first for a fruit crop (cultivated for both fruit and beverage). Grapevine was selected because of its important place in the cultural heritage of humanity beginning during the Neolithic period. Several large expansions of gene families with roles in aromatic features are observed. The grapevine genome has not undergone recent genome duplication, thus enabling the discovery of ancestral traits and features of the genetic organization of flowering plants. This analysis reveals the contribution of three ancestral genomes to the grapevine haploid content. This ancestral arrangement is common to many dicotyledonous plants but is absent from the genome of rice, which is a monocotyledon. Furthermore, we explain the chronology of previously described whole-genome duplication events in the evolution of flowering plants.
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            GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

            Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s D est and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au
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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
                (View ORCID Profile)
                Journal
                Crop Science
                Crop Science
                Wiley
                0011-183X
                1435-0653
                March 2023
                February 19 2023
                March 2023
                : 63
                : 2
                : 390-459
                Affiliations
                [1 ] Department of Agricultural, Food, Environmental and Animal Sciences University of Udine Via Delle Scienze, 206 Udine 33100 Italy
                Article
                10.1002/csc2.20896
                d9fd62cd-a875-446c-b059-cb7a1c032c96
                © 2023

                http://creativecommons.org/licenses/by-nc/4.0/

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