Estimating time since deposition using quantification of RNA degradation in body fluid-specific markers

The first appearance of ribonucleic acid (RNA) in forensic science research was in 1984 in the study of post-mortem tissues. Since then, many studies have explored the role of gene expression and its potential applications in forensic science. The two main RNA molecules that have been subject to increasing interest in the forensic science community are messenger RNA (mRNA) and microRNA (miRNA). Identification of body fluid type and estimating the time since deposition can be of immense value to criminal investigations. Determining the time since deposition or age of a biological stain can help to indicate either when a crime happened, or whether the biological evidence was deposited before/after a known crime event, in order for samples to be excluded. The research presented here has used reverse transcription quantitative PCR to examine the relative expression ratio (RER) in two types of body fluid-specific markers (saliva and semen), to develop a method to estimate the age of biological stains. mRNA and miRNA markers specific to saliva and semen, along with three reference genes were selected. Biological samples from 20 participants were stored in a dark dry place at room temperature to simulate natural ageing. A series of desired ageing points were set and total RNA was extracted when samples reached each desired point. The degradation behaviour of each RNA marker was analysed, showing that they exhibited unique degradation profiles across a one-year storage interval for saliva and semen samples, where miRNAs and the U6 reference gene were shown to have high stability. The RERs exhibit a non-linear relationship with body fluid stain age and can be considered as a potential method for body fluid stain age estimation, hence the time since deposition

Genetic diversity, population structure and Wolbachia infection status in a worldwide sample of Drosophila melanogaster and D. simulans populations

Drosophila melanogaster and its close relatives have been extremely important model species in the development of population genetic models that serve to explain patterns of diversity in natural populations, a major goal of evolutionary biology. A detailed picture of the evolutionary history of these species is beginning to emerge, as the relative importance of forces including demographic changes and natural selection is established. A continuing aim is to characterise levels of genetic diversity in a large number of populations of these species, covering a wide geographic area. We have used collections from five previously un-sampled wild populations of D. melanogaster and two of D. simulans, across three continents. We estimated levels of genetic diversity within, and divergence between, these populations, and looked for evidence of genetic structure both between ancestral and derived populations, and amongst derived populations. We also investigated the prevalence of infection with the bacterial endosymbiont Wolbachia. We found that D. melanogaster populations from Sub-Saharan Africa are the most diverse, and that divergence is highest between these and non-Sub-Saharan populations. There is strong evidence for structuring of populations between Sub-Saharan Africa and the rest of the world, and some evidence for weak structure amongst derived populations. Populations from Sub-Saharan Africa also differ in the prevalence of Wolbachia infection, with very low levels of infection compared to populations from the rest of the world

Strain-specific and pooled genome sequences for populations of Drosophila melanogaster from three continents

To contribute to our general understanding of the evolutionary forces that shape variation in genome sequences in nature, we have sequenced genomes from 50 isofemale lines and six pooled samples from populations of Drosophila melanogaster on three continents. Analysis of raw and reference-mapped reads indicates the quality of these genomic sequence data is very high. Comparison of the predicted and experimentally-determined Wolbachia infection status of these samples suggests that strain or sample swaps are unlikely to have occurred in the generation of these data. Genome sequences are freely available in the European Nucleotide Archive under accession ERP009059. Isofemale lines can be obtained from the Drosophila Species Stock Center

Developments in forensic DNA analysis

The analysis of DNA from biological evidence recovered in the course of criminal investigations can provide very powerful evidence when a recovered profile matches one found on a DNA database or generated from a suspect. However, when no profile match is found, when the amount of DNA in a sample is too low, or the DNA too degraded to be analysed, traditional STR profiling may be of limited value. The rapidly expanding field of forensic genetics has introduced various novel methodologies that enable the analysis of challenging forensic samples, and that can generate intelligence about the donor of a biological sample. This article reviews some of the most important recent advances in the field, including the application of massively parallel sequencing to the analysis of STRs and other marker types, advancements in DNA mixture interpretation, particularly the use of probabilistic genotyping methods, the profiling of different RNA types for the identification of body fluids, the interrogation of SNP markers for predicting forensically relevant phenotypes, epigenetics and the analysis of DNA methylation to determine tissue type and estimate age, and the emerging field of forensic genetic genealogy. A key challenge will be for researchers to consider carefully how these innovations can be implemented into forensic practice to ensure their potential benefits are maximised

Patterns of intron sequence evolution in Drosophila are dependent upon length and GC content

BACKGROUND: Introns comprise a large fraction of eukaryotic genomes, yet little is known about their functional significance. Regulatory elements have been mapped to some introns, though these are believed to account for only a small fraction of genome wide intronic DNA. No consistent patterns have emerged from studies that have investigated general levels of evolutionary constraint in introns. RESULTS: We examine the relationship between intron length and levels of evolutionary constraint by analyzing inter-specific divergence at 225 intron fragments in Drosophila melanogaster and Drosophila simulans, sampled from a broad distribution of intron lengths. We document a strongly negative correlation between intron length and divergence. Interestingly, we also find that divergence in introns is negatively correlated with GC content. This relationship does not account for the correlation between intron length and divergence, however, and may simply reflect local variation in mutational rates or biases. CONCLUSION: Short introns make up only a small fraction of total intronic DNA in the genome. Our finding that long introns evolve more slowly than average implies that, while the majority of introns in the Drosophila genome may experience little or no selective constraint, most intronic DNA in the genome is likely to be evolving under considerable constraint. Our results suggest that functional elements may be ubiquitous within longer introns and that these introns may have a more general role in regulating gene expression than previously appreciated. Our finding that GC content and divergence are negatively correlated in introns has important implications for the interpretation of the correlation between divergence and levels of codon bias observed in Drosophila

Reduced efficacy of selection in regions of the Drosophila genome that lack crossing over

BACKGROUND: The recombinational environment is predicted to influence patterns of protein sequence evolution through the effects of Hill-Robertson interference among linked sites subject to selection. In freely recombining regions of the genome, selection should more effectively incorporate new beneficial mutations, and eliminate deleterious ones, than in regions with low rates of genetic recombination. RESULTS: We examined the effects of recombinational environment on patterns of evolution using a genome-wide comparison of Drosophila melanogaster and D. yakuba. In regions of the genome with no crossing over, we find elevated divergence at nonsynonymous sites and in long introns, a virtual absence of codon usage bias, and an increase in gene length. However, we find little evidence for differences in patterns of evolution between regions with high, intermediate, and low crossover frequencies. In addition, genes on the fourth chromosome exhibit more extreme deviations from regions with crossing over than do other, no crossover genes outside the fourth chromosome. CONCLUSION: All of the patterns observed are consistent with a severe reduction in the efficacy of selection in the absence of crossing over, resulting in the accumulation of deleterious mutations in these regions. Our results also suggest that even a very low frequency of crossing over may be enough to maintain the efficacy of selection

Evaluating the effect of body fluid mixture on the relative expression ratio of blood-specific RNA markers

The estimation of the time elapsed since a biological stain was deposited at a crime scene can provide crucial information to a forensic investigation, indicating either when a crime was committed, or whether the biological evidence was deposited at the time of a known crime event. This would enable the investigators to limit the number of suspects and to assess alibis. The relative expression ratios (RERs) of body fluid-specific RNA markers are promising molecular tools for indicating the age of biological stains. However, the nature of some forensic samples found at crime scenes could be challenging, as they frequently occur in a mixture of different body fluid types. The research presented here has utilised reverse transcription quantitative PCR (RT-qPCR) to explore the impact of bloodstains being present in mixtures with other body fluids (saliva or semen) on the resulting RERs of blood-specific markers. The expression level of three blood-specific markers (HBA, HBB and miR16) along with two reference genes (18S and U6) were analysed across multiple ageing time points in pure and mixed bloodstains. For some markers, no significant differences were found when comparing RERs in pure and mixed bloodstains, however some RERs were altered in mixed stains. This indicates that the presence of body fluid mixtures may have a significant effect on the RERs of some blood-specific markers. This should therefore be considered when selecting markers for estimating the age of stains, particularly when multiple body fluids are thought to be present

Identifying blood-specific age-related DNA methylation markers on the Illumina MethylationEPIC® BeadChip

The past decade has seen rapid development in DNA methylation (DNAm) microarrays, including the Illumina HumanMethylation27 and HumanMethylation450 (450 K) chips, which have played an essential role in identifying and evaluating age-related (AR) DNAm markers in different tissues. Recently, a new array, the Illumina MethylationEPIC (EPIC) was introduced, with nearly double the number of probes as the 450 K (∼850,000 probes). In this study, we test these newly added probes for age association using a large cohort of 754 DNAm profiles from blood samples assayed on the EPIC BeadChip, for individuals aged 0–88 years old. 52 AR CpG sites (Spearman’s abs(rho) >0.6 and P-value 0.5 at FDR < 0.05 were input into stepwise regression to select the best subset for age prediction. The resulting six CpG markers were linearly modelled with age and explained 81% of age-correlated variation in DNAm levels. Age estimation accuracy using bootstrap analysis was 4.5 years, with 95% confidence intervals of 4.56 to 4.57 years based on the testing set. These results suggest that EPIC BeadChip probes for age estimation fall within the range of probes found on the previous Illumina HumanMethylation platforms in terms of their age-prediction ability

The surface accessibility of the glycine receptor M2-M3 loop is increased in the channel open state

Mutations in the extracellular M2-M3 loop of the glycine receptor (GlyR) alpha1 subunit have been shown previously to affect channel gating. In this study, the substituted cysteine accessibility method was used to investigate whether a structural rearrangement of the M2-M3 loop accompanies GlyR activation. All residues from R271C to V277C were covalently modified by both positively charged methanethiosulfonate ethyltrimethylammonium (MTSET) and negatively charged methanethiosulfonate ethylsulfonate (MTSES), implying that these residues form an irregular surface loop. The MTSET modification rate of all residues from R271C to K276C was faster in the glycine-bound state than in the unliganded state. MTSES modification of A272C, L274C, and V277C was also faster in the glycine-bound state. These results demonstrate that the surface accessibility of the M2-M3 loop is increased as the channel transitions from the closed to the open state, implying that either the loop itself or an overlying domain moves during channel activation

Population genetics of 30 insertion/deletion polymorphisms in the Kuwaiti population

This study evaluates the forensic utility of the 30 insertion and deletion (indel) markers contained in the Qiagen Investigator® DIPplex kit in the Kuwaiti population (n = 150). All but one of the 30 markers were shown to conform to the expectations of the Hardy-Weinberg Equilibrium. Linkage disequilibrium tests showed no statistically significant deviation from independence. The high combined power of discrimination (CPD > 99.999%) and low combined match probability (CMP) of 2.736 × 10 −13 provide a satisfactory level of discrimination, allowing the DIPplex loci to be used as forensic markers for individual identification in Kuwait. The paternity indices indicate the usefulness of the DIPplex kit as a supplementary typing system for challenging paternity cases in Kuwait