The use of immunochromatographic rapid test for soft tissue remains identification in order to distinguish between human and non-human origin.

Clear identification of soft tissue remains as being of non-human origin may be visually difficult in some cases e.g. due to decomposition. Thus, an additional examination is required. The use of an immunochromatographic rapid tests (IRT) device can be an easy solution with the additional advantage to be used directly at the site of discovery. The use of these test devices for detecting human blood at crime scenes is a common method. However, the IRT is specific not only for blood but also for differentiation between human and non-human soft tissue remains. In the following this method is discussed and validated by means of two forensic cases and several samples of various animals.

Effects of Pleistocene glaciations and rivers on the population structure of Bornean orangutans (Pongo pygmaeus).

Sundaland, a tropical hotspot of biodiversity comprising Borneo and Sumatra among other islands, the Malay Peninsula, and a shallow sea, has been subject to dramatic environmental processes. Thus, it presents an ideal opportunity to investigate the role of environmental mechanisms in shaping species distribution and diversity. We investigated the population structure and underlying mechanisms of an insular endemic, the Bornean orangutan (Pongo pygmaeus). Phylogenetic reconstructions based on mtDNA sequences from 211 wild orangutans covering the entire range of the species indicate an unexpectedly recent common ancestor of Bornean orangutans 176 ka (95% highest posterior density, 72-322 ka), pointing to a Pleistocene refugium. High mtDNA differentiation among populations and rare haplotype sharing is consistent with a pattern of strong female philopatry. This is corroborated by isolation by distance tests, which show a significant correlation between mtDNA divergence and distance and a strong effect of rivers as barriers for female movement. Both frequency-based and Bayesian clustering analyses using as many as 25 nuclear microsatellite loci revealed a significant separation among all populations, as well as a small degree of male-mediated gene flow. This study highlights the unique effects of environmental and biological features on the evolutionary history of Bornean orangutans, a highly endangered species particularly vulnerable to future climate and anthropogenic change as an insular endemic.

A Muskrat (Ondatra zibethicus) with alveolar echinococcosis bitten to death by a dog - a challenge for the forensic pathologist as an expert witness.

We present a case that illustrates the complex contexts in which forensic veterinary pathology examinations may be carried out. A wild muskrat (Ondatra zibethicus) had died after a putative bite attack from a domestic dog. Bite attacks by privately owned dogs on wild animals in Switzerland violate the Swiss civil (and/or hunting) laws, and dog owners are generally punished with a monetary fine; hence, this case appeared to be straightforward. However, the results of the subsequent post-mortem examination of the muskrat not only confirmed the presence of injuries related to the bite attack, but also detected alveolar echinococcosis (ie, infestation with Echinococcus multilocularis). Therefore, as an intermediate host of the parasite, the muskrat could have contributed to further spread of a severe helminthic zoonosis had it not been killed by the dog. It was probably an easy prey for the dog as it probably had been weakened by the disease. Furthermore, muskrats are considered as pests and invasive species, and are non-indigenous huntable game in Switzerland and other European countries in which programmes for the prevention of their further spread and endangerment of native wildlife are established. The role of the forensic veterinary pathologist in such a complex scenario is to adopt an unbiased approach and establish the facts, which in this case was to determine the cause of death and suspected perpetrator, identify any concomitant and/or underlying diseases and consider potential animal welfare issues.

Coral-ID: A forensically validated genetic test to identify precious coral material and its application to objects seized from illegal traffic.

The production and trade of objects manufactured from the skeletal axis of coralid precious corals is a historically, culturally and economically important global industry. Coralids are members of the diverse Coralliidae family, which contains several species complexes and morphospecies. For most precious coral found in the jewelry trade, the color remains the sole clue and link to the taxonomic identity of the individual. Different coralid species have however similar or overlapping colors resulting in difficulty to taxonomically identify jewelry objects, including four species listed by the Convention on the International Trade of Endangered Species (CITES) whose international transport and trade requires species-specific and country of origin documentation. We aimed at developing a reliable method to taxonomically identify coralid material with the objective of distinguishing CITES protected species from their non-protected counterparts. We present Coral-ID, a genetic assay to taxonomically classify coralid objects using quasi non-destructive sampling. The assay classifies the analyzed sample in one of six taxonomic categories and performs at least presumptive separation of CITES-listed and non-listed species in all cases. Developmental validation experiments prove that Coral-ID is a specific, accurate and very sensitive method. As the first attempt to randomly sample corals in the trade to identify them, we applied Coral-ID on 20 precious coral objects seized by custom authorities upon import to in Switzerland. Thirteen (65%) of these samples could be analyzed; three of these were found to be presumptively CITES-listed, and 10 of them have proven to originate from non-CITES-listed species.

Phylogeography and population genetic structure of the European roe deer in Switzerland following recent recolonization.

In the early 1800s, the European roe deer (Capreolus capreolus) was probably extirpated from Switzerland, due to overhunting and deforestation. After a federal law was enacted in 1875 to protect lactating females and young, and limiting the hunting season, the roe deer successfully recovered and recolonized Switzerland. In this study, we use mitochondrial DNA and nuclear DNA markers to investigate the recolonization and assess contemporary genetic structure in relation to broad topographic features, in order to understand underlying ecological processes, inform future roe deer management strategies, and explore the opportunity for development of forensic traceability tools. The results concerning the recolonization origin support natural, multidirectional immigration from neighboring countries. We further demonstrate that there is evidence of weak genetic differentiation within Switzerland among topographic regions. Finally, we conclude that the genetic data support the recognition of a single roe deer management unit within Switzerland, within which there is a potential for broad-scale geographic origin assignment using nuclear markers to support law enforcement.

Developmental validation of Oxford Nanopore Technology MinION sequence data and the NGSpeciesID bioinformatic pipeline for forensic genetic species identification.

Species identification of non-human biological evidence through DNA nucleotide sequencing is routinely used for forensic genetic analysis to support law enforcement. The gold standard for forensic genetics is conventional Sanger sequencing; however, this is gradually being replaced by high-throughput sequencing (HTS) approaches which can generate millions of individual reads in a single experiment. HTS sequencing, which now dominates molecular biology research, has already been demonstrated for use in a number of forensic genetic analysis applications, including species identification. However, the generation of HTS data to date requires expensive equipment and is cost-effective only when large numbers of samples are analysed simultaneously. The Oxford Nanopore Technologies (ONT) MinION™ is an affordable and small footprint DNA sequencing device with the potential to quickly deliver reliable and cost effective data. However, there has been no formal validation of forensic species identification using high-throughput (deep read) sequence data from the MinION making it currently impractical for many wildlife forensic end-users. Here, we present a MinION deep read sequence data validation study for species identification. First, we tested whether the clustering-based bioinformatics pipeline NGSpeciesID can be used to generate an accurate consensus sequence for species identification. Second, we systematically evaluated the read variation distribution around the generated consensus sequences to understand what confidence we have in the accuracy of the resulting consensus sequence and to determine how to interpret individual sample results. Finally, we investigated the impact of differences between the MinION consensus and Sanger control sequences on correct species identification to understand the ability and accuracy of the MinION consensus sequence to differentiate the true species from the next most similar species. This validation study establishes that ONT MinION sequence data used in conjunction with the NGSpeciesID pipeline can produce consensus DNA sequences of sufficient accuracy for forensic genetic species identification.

DNA fingerprinting: an effective tool for taxonomic identification of precious corals in jewelry.

Precious coral species have been used to produce jewelry and ornaments since antiquity. Due to the high value and demand for corals, some coral beds have been heavily fished over past centuries. Fishing and international trade regulations were put in place to regulate fishing practices in recent decades. To this date, the control of precious coral exploitation and enforcement of trade rules have been somewhat impaired by the fact that different species of worked coral samples can be extremely difficult to distinguish, even for trained experts. Here, we developed methods to use DNA recovered from precious coral samples worked for jewelry to identify their species. We evaluated purity and quantity of DNA extracted using five different techniques. Then, a minimally invasive sampling protocol was tested, which allowed genetic analysis without compromising the value of the worked coral objects.The best performing DNA extraction technique applies decalcification of the skeletal material with EDTA in the presence of laurylsarcosyl and proteinase, and purification of the DNA with a commercial silica membrane. This method yielded pure DNA in all cases using 100 mg coral material and in over half of the cases when using "quasi non-destructive" sampling with sampled material amounts as low as 2.3 mg. Sequence data of the recovered DNA gave an indication that the range of precious coral species present in the trade is broader than previously anticipated.

Forensic characterization and statistical considerations of the CaDNAP 13-STR panel in 1,184 domestic dogs from Germany, Austria, and Switzerland.

Crime scene samples originating from domestic dogs such as hair, blood, or saliva can be probative as possible transfer evidence in human crime and in dog attack cases. In the majority of such cases canine DNA identification using short tandem repeat (STR) analysis is the method of choice, which demands, among others, a systematic survey of allele frequency data in the relevant dog populations. A set of 13 highly polymorphic canine STR markers was used to analyze samples of 1,184 dogs (including 967 purebred dogs) from the so-called DACH countries (Germany, Austria, Switzerland). This CaDNAP 13-STR panel has previously been validated for canine identification in a forensic context. Here, we present robust estimates of allele frequencies, which are essential to assess the weight of the evidence by estimating the probability of a matching DNA profile within the dog population under question, e.g. in the form of a random match probability (RMP). The geographical provenance of the tested dogs showed a negligible influence on the observed genotype variation. Therefore, we combined the STR data from all three countries into a single dog population sample (DPS). In contrast, pronounced genetic differentiation between dog breeds was found by principal component analysis and sub-structure analysis with the STRUCTURE software. These findings entailed the need to account for the effects of DPS breed composition on allele frequency estimates. A possible strategy, which was favored here, relies on collecting a DPS that is guided by the breed composition of the relevant dog population. In total, dogs from 166 different breeds were included in our DPS, 64 of them including at least 5 individuals (n = 771 dogs). Sampling reflected the abundance of breeds in the DACH countries with the following being the most common ones: German Shepherds (population frequency: 14.3%), Dachshunds (5.9%), Labrador Retrievers (3.9%), and Golden Retrievers (3.2%). The pedigree listing of the purebred dogs in our DPS ranked German Shepherds (DPS frequency 8.5%) first, followed by Labrador Retrievers (3.9%), Golden Retrievers (3%), and Dachshunds (2.5%). RMP values based on overall allele frequencies and accounting for substructure using FST between breeds ranged between 10-13 and 10-14 and represent a conservative approach of RMP assessment.

Dog breed affiliation with a forensically validated canine STR set.

We tested a panel of 13 highly polymorphic canine short tandem repeat (STR) markers for dog breed assignment using 392 dog samples from the 23 most popular breeds in Austria, Germany, and Switzerland. This STR panel had originally been selected for canine identification. The dog breeds sampled in this study featured a population frequency ≥1% and accounted for nearly 57% of the entire pedigree dog population in these three countries. Breed selection was based on a survey comprising records for nearly 1.9 million purebred dogs belonging to more than 500 different breeds. To derive breed membership from STR genotypes, a range of algorithms were used. These methods included discriminant analysis of principal components (DAPC), STRUCTURE, GeneClass2, and the adegenet package for R. STRUCTURE analyses suggested 21 distinct genetic clusters. Differentiation between most breeds was clearly discernable. Fourteen of 23 breeds (61%) exhibited maximum mean cluster membership proportions of more than 0.70 with a highest value of 0.90 found for Cavalier King Charles Spaniels. Dogs of only 6 breeds (26%) failed to consistently show only one major cluster. The DAPC method yielded the best assignment results in all 23 declared breeds with 97.5% assignment success. The frequency-based assignment test also provided a high success rate of 87%. These results indicate the potential viability of dog breed prediction using a well-established and sensitive set of 13 canine STR markers intended for forensic routine use.

Effective population size dynamics and the demographic collapse of Bornean orang-utans.

Bornean orang-utans experienced a major demographic decline and local extirpations during the Pleistocene and Holocene due to climate change, the arrival of modern humans, of farmers and recent commercially-driven habitat loss and fragmentation. The recent loss of habitat and its dramatic fragmentation has affected the patterns of genetic variability and differentiation among the remaining populations and increased the extinction risk of the most isolated ones. However, the contribution of recent demographic events to such genetic patterns is still not fully clear. Indeed, it can be difficult to separate the effects of recent anthropogenic fragmentation from the genetic signature of prehistoric demographic events. Here, we investigated the genetic structure and population size dynamics of orang-utans from different sites. Altogether 126 individuals were analyzed and a full-likelihood Bayesian approach was applied. All sites exhibited clear signals of population decline. Population structure is known to generate spurious bottleneck signals and we found that it does indeed contribute to the signals observed. However, population structure alone does not easily explain the observed patterns. The dating of the population decline varied across sites but was always within the 200-2000 years period. This suggests that in some sites at least, orang-utan populations were affected by demographic events that started before the recent anthropogenic effects that occurred in Borneo. These results do not mean that the recent forest exploitation did not leave its genetic mark on orang-utans but suggests that the genetic pool of orang-utans is also impacted by more ancient events. While we cannot identify the main cause for this decline, our results suggests that the decline may be related to the arrival of the first farmers or climatic events, and that more theoretical work is needed to understand how multiple demographic events impact the genome of species and how we can assess their relative contributions.