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    Tuber spp. biodiversity in one of the southernmost European distribution areas

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    The aims of this paper were to study the genetic diversity within and among 6 Tuber taxa, the phylogenetic relationships and the spatial distribution of truffles from the Basilicata region (southern Italy). Molecular analyses, using the internal transcribed spacer region, microsatellites, minisatellites and random amplified polymorphic loci revealed the highest expected intra-specific heterozygosity (He=0.30) in T. aestivum, followed by that of T. mesentericum (He=0.22). T. borchii (He=0.17), T. magnatum (He=0.16), T. aestivum fo. uncinatum (He=0.12) and T. brumale fo. moschatum (He=0.09) showed a lower average heterozygosity. The whole set of markers were demonstrated to be useful in clearly differentiating Tuber taxa, separating them in two distinct groups and in five sub-clusters, each corresponding to one single taxon. The first cluster (T. borchii, T. magnatum and T. brumale fo. moschatum) was more differentiated than the second one (T. aestivum, T. aestivum fo. uncinatum and T. mesentericum). T. brumale fo. moschatum was the most differentiated Tuber taxon. It was more related to the white truffles (the closely related T. borchii and T. magnatum) than to the remaining related black truffles T. aestivum and T. mesentericum. The amount of Tuber species richness was higher over the western side of Basilicata, in cold Lauretum and in Castanetum phytoclimatic Pavari’s zones. A spatial genetic structure was detected for T. aestivum, as shown by the significant correlation between geographic and genetic distances (rs=0.32; P<0.0001). Integration of molecular and geographic diversity patterns can allow the selection of sites for Tuber and Tuberrelated biodiversity conservation

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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