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Sprem N.,University of Zagreb | Safner T.,University of Zagreb | Treer T.,University of Zagreb | Florijancic T.,Josip Juraj Strossmayer University of Osijek | And 4 more authors.
European Journal of Wildlife Research | Year: 2016

Wild boar is the most important large game species in Croatia, with populations subjected to hunting/management programs. There are indications from previous analyses of morphological variation and reproductive performance that population structure of wild boar in Croatia is strongly influenced by the Dinaric mountain range that separates Croatia in two biogeographic regions: Continental and Mediterranean. Of the two main wild boar haplogroups found in Europe, the most widespread is the E1 clade (present from Portugal to Russia), while the E2 clade is found within the Italian peninsula and on Sardinia. Outside Italy, the E2 clade has to date been found only in archaeological samples from the Mediterranean region of Croatia. The aims of this study were to investigate the hypotheses that (i) the Dinaric Mountains act as a natural boundary separating the Continental and Mediterranean wild boar subpopulations in Croatia; and (ii) the mtDNA E2 clade is present in Croatian wild boar. A total of 14 unlinked microsatellite loci were examined in 264 geo-referenced individuals, and the 486-bp fragment of the mtDNA control region sequence was examined in 69 individuals. The results suggest that the region of the Dinaric Mountains. represents a weak boundary between the Continental and Mediterranean subpopulations, and that the predominant factor causing the observed genetic structuring is isolation by distance. Based on these results, it can be proposed that the Croatian wild boar population in the mainland should be managed as a whole. Three variable sites and four haplotypes were obtained from the mtDNA sequences, all of which belonged to the major European clade (E1). © 2016 Springer-Verlag Berlin Heidelberg Source


Romanini C.,Forensic DNA Laboratory | Romero M.,Forensic DNA Laboratory | Salado Puerto M.,Forensic DNA Laboratory | Catelli L.,Forensic DNA Laboratory | And 5 more authors.
Forensic Science International: Genetics | Year: 2015

Ancestry informative markers (AIMs) can be useful to infer ancestry proportions of the donors of forensic evidence. The probability of success typing degraded samples, such as human skeletal remains, is strongly influenced by the DNA fragment lengths that can be amplified and the presence of PCR inhibitors. Several AIM panels are available amongst the many forensic marker sets developed for genotyping degraded DNA. Using a 46 AIM Insertion Deletion (Indel) multiplex, we analyzed human skeletal remains of post mortem time ranging from 35 to 60 years from four different continents (Sub-Saharan Africa, South and Central America, East Asia and Europe) to ascertain the genetic ancestry components. Samples belonging to non-admixed individuals could be assigned to their corresponding continental group. For the remaining samples with admixed ancestry, it was possible to estimate the proportion of co-ancestry components from the four reference population groups. The 46 AIM Indel set was informative enough to efficiently estimate the proportion of ancestry even in samples yielding partial profiles, a frequent occurrence when analyzing inhibited and/or degraded DNA extracts. © 2014 Elsevier Ireland Ltd. All rights reserved. Source


Romanini C.,Forensic DNA Laboratory | Catelli M.L.,Forensic DNA Laboratory | Borosky A.,Lidmo Laboratorio Of Inmunogenetica Y Diagnostico Molecular | Pereira R.,University of Porto | And 11 more authors.
Forensic Science International: Genetics | Year: 2012

Two sets of short amplicon binary markers (SABs): 50 single nucleotide polymorphisms (SNPs) and 38 insertion/deletion polymorphisms (Indels) were used to genotype bones of 35 years "post-mortem". Typing results of these binary markers were compared with those obtained for standard commercial STR and mini-STR DNA typing kits. We observed SAB marker performance to be better compared with conventional STR and mini-STR genotyping in degraded bone sample analysis. Furthermore, additional genetic information provided by these 88 binary markers, 50 SNPs and 38 Indels, combined with classical markers gave very high discrimination power even in severely degraded specimens, with all tested bone samples showing Random Match Probabilities (RMPs) higher than 1019. Missing person and disaster victim identification by kinship analysis is considerably strengthened by the addition of SAB markers since they can be successfully typed on degraded bone samples while adding considerable extra genetic data when poor or incomplete information is available from conventional forensic markers for the analysis of family pedigrees. © 2011 Elsevier Ireland Ltd. Source

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