Population data for 12 STR loci in Northern European brown bear (Ursus arctos) and application of DNA profiles for forensic casework

2009 ◽  
Vol 2 (1) ◽  
pp. 273-274 ◽  
Author(s):  
H.G. Eiken ◽  
R.J. Andreassen ◽  
A. Kopatz ◽  
S.G. Bjervamoen ◽  
I. Wartiainen ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Aditi Mishra ◽  
Archana Kumari ◽  
Sumit Choudhary ◽  
Ulhas Gondhali

Abstract Background Today, when forensic experts talk about quantifiable hereditary traits, they do not just depend on the assessment and examination of DNA profiles but also relate them to the population structures. The use of high-throughput molecular marker technologies and advanced statistical and software tools have improved the accuracy of human genetic diversity analysis in many populations with limited time and resources. The present study aimed to investigate the genomic diversity in Gujarat’s Rabari population, using 20 autosomal genetic markers. Numerous bio-statistical software programs are available for the interpretation of population data in forensics. These statistics deal with the measurement of uncertainty and also provides a probability of a random match. The present paper aims to provide a practical guide to the analysis of population genetics data. Three statistical software packages named Cervus, Genepop, and Fstat are compared and contrasted. The comparison is performed on the profiles obtained from fifty unrelated blood samples of healthy male individuals. DNA was extracted using the organic extraction method, 20 autosomal STR loci were amplified using PowerPlex 21 kit (Promega, Madison, WI, USA) and detected on 3100 Genetic Analyser (Life Technologies Corporation, Carlsbad, CA, USA). Results A total of 170 alleles were observed in the Rabari Tribe of Gujarat population, and allele frequencies ranged from 0.010 to 0.480. The highest allele frequency detected was 0.480 for allele 9 at locus TH01. Based on heterozygosity and the polymorphism information content, FGA may be considered as the most informative markers. Both the combined power of discrimination (CPD) and the combined power of exclusion (CPE) for the 20 analyzed loci were higher than 0.999999. The combined match probability (CPM) for all 20 loci was 2.5 × 10−22. Conclusions With respect to the results, the 20 STR loci are highly polymorphic and discriminating in the Gujarat population and could be used for forensic practice and population genetics studies. However, Fstat demonstrated better genetic software for analysis of the demographic structure of a specific or set of populations.


2008 ◽  
Vol 1 (1) ◽  
pp. 164-166 ◽  
Author(s):  
Celso C. Tavares ◽  
Leonor Gusmão ◽  
Cristiane Domingues ◽  
Patrícia Domingues ◽  
Dayse A. Silva ◽  
...  

PLoS ONE ◽  
2014 ◽  
Vol 9 (5) ◽  
pp. e97558 ◽  
Author(s):  
Alexander Kopatz ◽  
Hans Geir Eiken ◽  
Jouni Aspi ◽  
Ilpo Kojola ◽  
Camilla Tobiassen ◽  
...  

2007 ◽  
Author(s):  
Sean D. Farley ◽  
Herman Griese ◽  
Rick Sinnott ◽  
Jessica Coltrane ◽  
Chris Garner ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 146
Author(s):  
Mihai Mustățea ◽  
Ileana Pătru-Stupariu

Human–wildlife interactions (HWI) were frequent in the post-socialist period in the mountain range of Central European countries where forest habitats suffered transitions into built-up areas. Such is the case of the Upper Prahova Valley from Romania. In our study, we hypothesized that the increasing number of HWI after 1990 could be a potential consequence of woodland loss. The goal of our study was to analyse the effects of landscape changes on HWI. The study consists of the next steps: (i) applying 450 questionnaires to local stakeholders (both citizens and tourists) in order to collect data regarding HWI temporal occurrences and potential triggering factors; (ii) investigating the relation between the two variables through the Canonical Correspondence Analysis (CCA); (iii) modelling the landscape spatial changes between 1990 and 2018 for identifying areas with forest loss; (iv) overlapping the distribution of both the households affected by HWI and areas with loss of forested ecosystems. The local stakeholders indicate that the problematic species are the brown bear (Ursus arctos), the wild boar (Sus scrofa), the red fox (Vulpes vulpes) and the grey wolf (Canis lupus). The number of animal–human interactions recorded an upward trend between 1990 and 2018, and the most significant driving factors were the regulation of hunting practices, the loss of habitats, and artificial feeding. The landscape change analysis reveals that between 1990 and 2018, the forest habitats were replaced by built-up areas primarily on the outskirts of settlements, these areas coinciding with frequent HWI. The results are valid for both forest ecosystems conservation in the region, wildlife management, and human infrastructures durable spatial planning.


2014 ◽  
Vol 13 ◽  
pp. e18-e19 ◽  
Author(s):  
Germana Emanuela De Queiroz Rêgo ◽  
Silvana Magna Cavalcante Monte ◽  
Rodrigo Soares De Moura-Neto ◽  
Naila Francis Paulo De Oliveira

2006 ◽  
Vol 51 (6) ◽  
pp. 1410-1413 ◽  
Author(s):  
Ann Marie Gross ◽  
Bruce Budowle
Keyword(s):  

2017 ◽  
Vol 280 ◽  
pp. S198
Author(s):  
Dubravka Rašić ◽  
Maja Lazarus ◽  
Đuro Huber ◽  
Slaven Reljić ◽  
Maja Peraica
Keyword(s):  

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