Ophthalmomyiasis Case Caused by Two Blow Fly (Diptera: Calliphoridae) Species in North America.

Ophthalmomyiasis is the result of fly larvae feeding on the tissues of the eye. Commonly associated with poor hygiene and open wounds, this condition is rare and often stigmatized. Treatment can be straightforward, and full recovery is common. Identifying the species responsible for ophthalmomyiasis is important for the medical, forensic, and entomological communities. Here, we present a case of ophthalmomyiasis where 30-40 blow fly (Diptera: Calliphoridae) larvae were removed from the eye of a human male. A representative subsample of five larvae was used for taxonomic identification via two approaches (a) DNA analysis, via sequencing of the complete mitochondrial genome (mtGenome) and comparison of the mtGenome and mitochondrial COI barcode region to GenBank, and (b) morphology, examination of the posterior spiracles using microscopy, and comparison to published larval descriptions of blow flies. Two species of blow flies were identified from the DNA analysis: Lucilia coeruleiviridis and Phormia regina. Morphological examination could only confirm L. coeruleiviridis as being present. To our knowledge, finding two blow fly species causing ophthalmomyiasis in a single individual has not been previously reported in the scientific literature. Neither P. regina nor L. coeruleiviridis prefers living tissue for larva development, but since they fill similar ecological niches, perhaps this was a show of competition rather than a normal feeding habit. Knowing these blow fly species can resort to this behavior, and that it can affect human populations, is valuable to the education of patients and providers.

The development of non-destructive sampling methods of parchment skins for genetic species identification.

Parchment, the skins of animals prepared for use as writing surfaces, offers a valuable source of genetic information. Many have clearly defined provenance, allowing for the genetic findings to be evaluated in temporal and spatial context. While these documents can yield evidence of the animal sources, the DNA contained within these aged skins is often damaged and fragmented. Previously, genetic studies targeting parchment have used destructive sampling techniques and so the development and validation of non-destructive sampling methods would expand opportunities and facilitate testing of more precious documents, especially those with historical significance. Here we present genetic data obtained by non-destructive sampling of eight parchments spanning the 15th century to the modern day. We define a workflow for enriching the mitochondrial genome (mtGenome), generating next-generation sequencing reads to permit species identification, and providing interpretation guidance. Using sample replication, comparisons to destructively sampled controls, and by establishing authentication criteria, we were able to confidently assign full/near full mtGenome sequences to 56.3% of non-destructively sampled parchments, each with greater than 90% of the mtGenome reference covered. Six of eight parchments passed all four established thresholds with at least one non-destructive sample, highlighting promise for future studies.

Assessing three soil removal methods for environmental DNA analysis of mock forensic geology evidence.

Soil is useful in criminal investigations as it is highly variable and readily transferred. Forensic geologists use several different techniques to removal soil from evidence prior to the analysis of inorganic components. There has been recent interest from the forensic science community to analyze environmental deoxyribonucleic acid (eDNA) associated with soil to augment existing forensic analyses. Notably however, limited research has been conducted to compare commonly used soil removal methods for downstream eDNA analysis. In this study, three soil removal methods were assessed: picking/scraping, sonication, and swabbing. Three mock evidence types (t-shirts, boot soles, and trowels) were sampled in triplicate with each removal method (n = 27). Soil samples underwent DNA isolation, quantification, and amplification of four genomic barcode regions: 16S for bacteria, ITS1 for fungi, ITS2 for plants, and COI for arthropods. Amplicons were prepared into libraries for DNA sequencing on an Illumina® MiniSeq. DNA concentrations were highest in picked/scraped samples and were statistically significant compared with swabbed and sonicated samples. Amplicon sequence variants (ASVs) were identified, and removal methods had no impact on the recovery of the total number of target ASVs. Additionally, when assessing each sample in multidimensional space, picked/scraped samples tended to cluster separately from swabbed and sonicated samples. The soil core used a reference in this study also clustered with the picked/scraped samples, indicating that these samples may be more reflective of the communities collected from soil cores. Based on these data, we identified that picking/scraping is an acceptable soil removal method for eDNA analysis.

Using FastID to analyze complex SNP mixtures from indoor dust.

Forensically relevant single nucleotide polymorphisms (SNPs) can provide valuable supplemental information to short tandem repeats (STRs) for investigative leads, and genotyping can now be streamlined using massively parallel sequencing (MPS). Dust is an attractive evidence source, as it accumulates on undisturbed surfaces, often is overlooked by perpetrators, and contains sufficient human DNA for analysis. To assess whether SNPs genotyped from indoor dust using MPS could be used to detect known household occupants, 13 households were recruited and provided buccal samples from each occupant and dust from five predefined indoor locations. Thermo Fisher Scientific Precision ID Identity and Ancestry Panels were utilized for SNP genotyping, and sequencing was completed using Illumina® chemistry. FastID, a software developed to permit mixture analysis and identity searching, was used to assess whether known occupants could be detected from associated household dust samples. A modified "subtraction" method was also used in FastID to estimate the percentage of alleles in each dust sample contributed by known and unknown occupants. On average, 72% of autosomal SNPs were recovered from dust samples. When using FastID, (a) 93% of known occupants were detected in at least one indoor dust sample and could not be excluded as contributors to the mixture, and (b) non-contributor alleles were detected in 54% of dust samples (29 ± 11 alleles per dust sample). Overall, this study highlights the potential of analyzing human DNA present in indoor dust to detect known household occupants, which could be valuable for investigative leads.

Comparison of polymerases used for amplification of mitochondrial DNA from challenging hairs and hairs of various treatments.

Forensic DNA analysis of hair evidence typically involves the amplification and sequencing of the control region (CR) of the mitochondrial genome (mtgenome). In compromised hair samples, such as shed hairs, the number of mtgenome copies could be low; thus, it is imperative that the polymerase used in PCR is efficient to ensure maximum amplification. Considering this, the first phase of this study compared the yields obtained from 12 polymerases (sourced from a range of commercial companies) when amplifying the CR, hypervariable (HV) region II (HV2), and hypervariable subregion II-B (HV2B). This initial assessment was performed using mitochondrial DNA (mtDNA) extracted from 2 cm of hair adjacent to the root from three donors of different self-reported ancestries and hair color/texture. PrimeSTAR HS and KAPA HiFi HotStart consistently generated significantly higher amplicon yields (p < 0.05, ~5-fold increase) for most regions than AmpliTaq Gold DNA polymerase (the polymerase validated for use in most forensic laboratories). The second phase of this project was focused on assessing the broad utility of these top two performing polymerases for amplifying two regions of the mtgenome (CR and HV2B) from hair samples representing diverse self-reported ancestral origins (European, Latin American, African American, Asian, and Native American), characteristics/treatments (bleached, dyed, and chemically straightened), and anatomical origins (e.g., head and pubic region) (n = 41). These regions were chosen as they are the most challenging to amplify and sequence in compromised hair samples due to length (i.e., the CR is ~1.2 kb) and repeat structure (i.e., the polycytosine stretch within HV2B). The results indicated that regardless of sample type, PrimeSTAR HS and KAPA HiFi HotStart polymerases outperformed (p < 0.05) AmpliTaq Gold DNA polymerase (averaging 11- and 8-fold increased yields, respectively). The results from this study highlight that enhanced commercially available polymerases appear to significantly improve the amplification of mtDNA from challenging hair samples.

An alternate workflow for preparing Precision ID Ancestry and Identity Panel libraries for Illumina sequencing.

Single nucleotide polymorphisms (SNPs) are well-established for forensic applications. Although they are not compatible with existing criminal databases, they offer some advantages over short tandem repeat (STR) markers including smaller amplicons, no stutter artifacts, and biogeographic ancestry and phenotype predictions. The Precision ID NGS System, a commercial workflow by Thermo Fisher Scientific, offers a streamlined solution for genotyping forensically relevant SNPs using next-generation sequencing. The Precision ID Ancestry and Identity Panels combined target 289 SNPs, and their sensitivity, reproducibility, and accuracy have been evaluated by the forensic community. The aim of this study was to develop an alternative workflow to genotype these SNP panels using Illumina chemistry. Commercial genomic DNAs (gDNAs) (n, 3) were amplified using three uracil-tolerant polymerase master mixes. Resulting amplicons were prepared into libraries using the KAPA Hyper Prep Kit (KAPA Biosystems) and sequenced via Illumina's MiniSeq. Reads were analyzed using a published analysis pipeline to compile final genotypes with read depth information. Phusion U Multiplex PCR Master Mix (Thermo Fisher Scientific) statistically outperformed the other master mixes tested (P <0.0001), with respect to the number of SNPs genotyped. To ensure a workflow using Phusion U would be compatible across diverse samples, we optimized PCR cycle number using the same commercial gDNAs (n, 3), reference buccal swabs (n, 3), and environmental (household dust) samples (n, 6). Using the developed workflow, 93.9% of all SNPs were successfully genotyped across sample types. Implementation of the developed workflow should be straightforward for forensic laboratories and suitable for processing reference and casework samples.

Performance Comparison of Massively Parallel Sequencing (MPS) Instruments Using Single-Nucleotide Polymorphism (SNP) Panels for Ancestry.

Thermo Fisher Scientific released the Precision ID Ancestry Panel, a 165-single-nucleotide polymorphism (SNP) panel for ancestry prediction that was initially compatible with the manufacturer's massively parallel sequencer, the Ion Torrent Personal Genome Machine (PGM). The semiautomated workflow using the panel with the PGM involved several time-consuming manual steps across three instruments, including making templating solutions and loading sequencing chips. In 2014, the manufacturer released the Ion Chef robot, followed by the Ion S5 massively parallel sequencer in late 2015. The robot performs the templating with reagent cartridges and loads the chips, thus creating a fully automated workflow across two instruments. The objective of the work reported here is to compare the performance of two massively parallel sequencing systems and ascertain if the change in the workflow produces different ancestry predictions. For performance comparison of the two systems, forensic-type samples (n = 16) were used to make libraries. Libraries were templated either with the Ion OneTouch 2 system (for the PGM) or on the Ion Chef robot (for the S5). Sequencing results indicated that the ion sphere particle performance metrics were similar for the two systems. The total coverages per SNP and SNP quality were both higher for the S5 system. Ancestry predictions were concordant for the mock forensic-type samples sequenced on both massively parallel sequencing systems. The results indicated that automating the workflow with the Ion Chef system reduced the labor involved and increased the sequencing quality.

The distinctive geographic patterns of common pigmentation variants at the OCA2 gene.

Oculocutaneous Albinism type 2 (OCA2) is a gene of great interest because of genetic variation affecting normal pigmentation variation in humans. The diverse geographic patterns for variant frequencies at OCA2 have been evident but have not been systematically investigated, especially outside of Europe. Here we examine population genetic variation in and near the OCA2 gene from a worldwide perspective. The very different patterns of genetic variation found across world regions suggest strong selection effects may have been at work over time. For example, analyses involving the variants that affect pigmentation of the iris argue that the derived allele of the rs1800407 single nucleotide polymorphism, which produces a hypomorphic protein, may have contributed to the previously demonstrated positive selection in Europe for the enhancer variant responsible for light eye color. More study is needed on the relationships of the genetic variation at OCA2 to variation in pigmentation in areas beyond Europe.

Optimization of the second internal transcribed spacer (ITS2) for characterizing land plants from soil.

Molecular-based taxonomy, specifically DNA barcoding, has streamlined organism identification. For land plants, the recommended 2-locus barcode of rbcL and matK is not suitable for all groups, thus the second subunit of the nuclear internal transcribed spacer (ITS2) has received attention as a possible alternative. To date, evaluations of ITS2 have mostly been limited in scope to specific plant orders/families and single source material. Prior to using ITS2 to routinely characterize land plants present in environmental samples (i.e., DNA metabarcoding), a wet lab protocol optimized for bulk sample types is needed. To address this gap, in this study we determined the broad recoverability across land plants when using published ITS2 primer pairs, and subsequently optimized the PCR reaction constituents and cycling conditions for the best two performing primer pairs (ITS2F/ITSp4 and ITSp3/ITSu4). Using these conditions, both primer pairs were used to characterize land plants present in 17 diverse soils collected from across the US. The resulting PCR amplicons were prepared into libraries and pooled for sequencing on an Illumina® MiniSeq. Our existing bioinformatics workflow was used to process raw sequencing data and taxonomically assign unique ITS2 plant sequences by comparison to GenBank. Given strict quality criteria were imposed on sequences for inclusion in data analysis, only 43.6% and 7.5% of sequences from ITS2F/ITSp4 and ITSp3/ITSu4 respectively remained for taxonomic comparisons; ~7-11% of sequences originated from fungal co-amplification. The number of orders and families recovered did differ between primer pairs, with ITS2F/ITSp4 consistently outperforming ITSp3/ITSu4 by >15%. Primer pair bias was observed in the recovery of certain taxonomic groups; ITS2F/ITSp4 preferentially recovered flowering plants and grasses, whereas ITSp3/ITSu4 recovered more moss taxa. To maximize data recovery and reduce potential bias, we advocate that studies using ITS2 to characterize land plants from environmental samples such as soil use a multiple primer pair approach.

Single Fragment or Bulk Soil DNA Metabarcoding: Which is Better for Characterizing Biological Taxa Found in Surface Soils for Sample Separation?

In forensic geology casework, sample size typically limits routine characterization of material using bulk approaches. To address this, DNA-based characterization of biological taxa has received attention, as the taxa present can be useful for sample-to-sample comparisons and source attribution. In our initial work, low biodiversity was captured when DNA barcodes were Sanger-sequenced from plant and insect fragments isolated from 10 forensic-type surface soils. Considering some forensic laboratories now have access to massively parallel sequencing platforms, we assessed whether biological taxa present in the same surface soils could be better characterized using DNA metabarcoding. To achieve this, plant and animal barcodes were amplified and sequenced on an Illumina MiniSeq for three different DNA sample types (n = 50): individual fragments used in our initial study, and 250 and 100 mg of bulk soil (from the 10 sites used in the initial study). A total of 572 unique target barcode sequences passed quality filtering and were used in downstream statistical analyses: 54, 321, and 285 for individual fragments, 100 mg, and 250 mg bulk soil samples, respectively. Plant barcodes permitted some spatial separation of sample sites in non-metric multidimensional scaling plots; better separation was obtained for samples prepared from bulk soil. This study confirmed that bulk soil DNA metabarcoding is a better approach for characterizing biological taxa present in surface soils, which could supplement traditional geologic examinations.

Assessment of BOLD and GenBank - Their accuracy and reliability for the identification of biological materials.

Taxonomic identification of biological materials can be achieved through DNA barcoding, where an unknown "barcode" sequence is compared to a reference database. In many disciplines, obtaining accurate taxonomic identifications can be imperative (e.g., evolutionary biology, food regulatory compliance, forensics). The Barcode of Life DataSystems (BOLD) and GenBank are the main public repositories of DNA barcode sequences. In this study, an assessment of the accuracy and reliability of sequences in these databases was performed. To achieve this, 1) curated reference materials for plants, macro-fungi and insects were obtained from national collections, 2) relevant barcode sequences (rbcL, matK, trnH-psbA, ITS and COI) from these reference samples were generated and used for searching against both databases, and 3) optimal search parameters were determined that ensure the best match to the known species in either database. While GenBank outperformed BOLD for species-level identification of insect taxa (53% and 35%, respectively), both databases performed comparably for plants and macro-fungi (~81% and ~57%, respectively). Results illustrated that using a multi-locus barcode approach increased identification success. This study outlines the utility of the BLAST search tool in GenBank and the BOLD identification engine for taxonomic identifications and identifies some precautions needed when using public sequence repositories in applied scientific disciplines.

An automated independent workflow for the analysis of massively parallel sequence data from forensic SNP assays.

Illumina and Thermo Fisher Scientific have developed assays that permit the sequencing of forensically relevant single nucleotide polymorphisms (SNPs), along with software to determine the associated genotypes. Currently there is no method to either independently confirm the genotypes determined using the manufacturer's software, or to compare genotypes and quality metrics among samples processed using both platforms. This paper outlines an automated workflow developed in CLC Genomics Workbench that permits accurate, fast and independent analysis of SNP sequence data from either platform. To facilitate the straightforward comparison of genotypes generated from both the manufacturer's software and the independent CLC analysis, a Python script was written. Data for a total of 323 forensically relevant ancestry, identity and phenotypic SNPs can be analyzed, and the resulting genotypes, coverage, quality flags and major allele frequencies are easily compared across samples and platforms.

A protocol for obtaining DNA barcodes from plant and insect fragments isolated from forensic-type soils.

Soil is often collected from a suspect's tire, vehicle, or shoes during a criminal investigation and subsequently submitted to a forensic laboratory for analysis. Plant and insect material recovered in such samples is rarely analyzed, as morphological identification is difficult. In this study, DNA barcoding was used for taxonomic identifications by targeting the gene regions known to permit discrimination in plants [maturase K (matK) and ribulose 1,5-biphosphate carboxylase (rbcL)] and insects [cytochrome oxidase subunit I (COI)]. A DNA barcode protocol suitable for processing forensic-type biological fragments was developed and its utility broadly tested with forensic-type fragments (e.g., seeds, leaves, bark, head, legs; n, 213) isolated from soils collected within Virginia, USA (n, 11). Difficulties with PCR inhibitors in plant extracts and obtaining clean Sanger sequence data from insect amplicons were encountered during protocol development; however, the final protocol produced sequences specific to the expected locus and taxa. The overall quantity and quality of DNA extracted from the 213 forensic-type biological fragments was low (< 15 ng/µL). For plant fragments, only the rbcL sequence data was deemed reliable; thus, taxonomic identifications were limited to the family level. The majority of insect sequences matched COI in both GenBank and Barcode of Life DataSystems; however, they were identified as an undescribed environmental contaminant. Although limited taxonomic information was gleaned from the forensic-type fragments processed in this study, the new protocol shows promise for obtaining reliable and specific identifications through DNA barcoding, which could ultimately enhance the information gleaned from soil examinations.

Isolation of Mitochondrial DNA from Single, Short Hairs without Roots Using Pressure Cycling Technology.

Hairs are commonly submitted as evidence to forensic laboratories, but standard nuclear DNA analysis is not always possible. Mitochondria (mt) provide another source of genetic material; however, manual isolation is laborious. In a proof-of-concept study, we assessed pressure cycling technology (PCT; an automated approach that subjects samples to varying cycles of high and low pressure) for extracting mtDNA from single, short hairs without roots. Using three microscopically similar donors, we determined the ideal PCT conditions and compared those yields to those obtained using the traditional manual micro-tissue grinder method. Higher yields were recovered from grinder extracts, but yields from PCT extracts exceeded the requirements for forensic analysis, with the DNA quality confirmed through sequencing. Automated extraction of mtDNA from hairs without roots using PCT could be useful for forensic laboratories processing numerous samples.

Evaluation of the Precision ID Identity Panel for the Ion Torrent™ PGM™ sequencer.

In cases where only a partial or incomplete STR profile is obtained from a sample, information contained in single nucleotide polymorphisms (SNPs) can prove informative for human identification. Thermo Fisher Scientific, which developed the high throughput Ion Torrent™ PGM™ sequencer, released the Precision ID Identity Panel, a multiplex SNP panel for human identity. We evaluated the reproducibility and sensitivity of this multiplex, which contains primers for the amplification of 90 autosomal SNPs and 34 Y-clade SNPs. The manufacturer's protocol was tested using five commercially available pure native DNAs and six forensic type samples at a range of DNA input amounts (0.2-1.0ng; n, 90). In addition to analyzing the data using the manufacturer's software, HID SNP Genotyper (v4.3.1), we also used CLC Genomics Workbench (Qiagen). Although library yields and templating of ion sphere particles (ISPs) were low, downstream sequencing was still successful. Across all samples, only 1.5% of all possible quality control (QC) flags were raised by both the plugin QC filter and CLC; 85% of those flags were raised as the SNP had a major allele frequency outside the thresholds specified by the manufacturer. For the remaining SNPs, coverage of >1500 X and >780 X was obtained for autosomal and Y-clade SNPs respectively, and 100% congruence among genotype calls from both analysis programs was observed. Our results demonstrate that it is possible to obtain reliable and reproducible genotypes using the Precision ID Identity Panel, when using low quantities (≥0.2ng) of either pure native DNA or forensic type DNA samples.

Sorting out relationships among the grouse and ptarmigan using intron, mitochondrial, and ultra-conserved element sequences.

The Holarctic phasianid clade of the grouse and ptarmigan has received substantial attention in areas such as evolution of mating systems, display behavior, and population ecology related to their conservation and management as wild game species. There are multiple molecular phylogenetic studies that focus on grouse and ptarmigan. In spite of this, there is little consensus regarding historical relationships, particularly among genera, which has led to unstable and partial taxonomic revisions. We estimated the phylogeny of all currently recognized species using a combination of novel data from seven nuclear loci (largely intron sequences) and published data from one additional autosomal locus, two W-linked loci, and four mitochondrial regions. To explore relationships among genera and assess paraphyly of one genus more rigorously, we then added over 3000 ultra-conserved element (UCE) loci (over 1.7million bp) gathered using Illumina sequencing. The UCE topology agreed with that of the combined nuclear intron and previously published sequence data with 100% bootstrap support for all relationships. These data strongly support previous studies separating Bonasa from Tetrastes and Dendragapus from Falcipennis. However, the placement of Lagopus differed from previous studies, and we found no support for Falcipennis monophyly. Biogeographic analysis suggests that the ancestors of grouse and ptarmigan were distributed in the New World and subsequently underwent at least four dispersal events between the Old and New Worlds. Divergence time estimates from maternally-inherited and autosomal markers show stark differences across this clade, with divergence time estimates from maternally-inherited markers being nearly half that of the autosomal markers at some nodes, and nearly twice that at other nodes.

Analysis of a Rapid Evolutionary Radiation Using Ultraconserved Elements: Evidence for a Bias in Some Multispecies Coalescent Methods.

Rapid evolutionary radiations are expected to require large amounts of sequence data to resolve. To resolve these types of relationships many systematists believe that it will be necessary to collect data by next-generation sequencing (NGS) and use multispecies coalescent ("species tree") methods. Ultraconserved element (UCE) sequence capture is becoming a popular method to leverage the high throughput of NGS to address problems in vertebrate phylogenetics. Here we examine the performance of UCE data for gallopheasants (true pheasants and allies), a clade that underwent a rapid radiation 10-15 Ma. Relationships among gallopheasant genera have been difficult to establish. We used this rapid radiation to assess the performance of species tree methods, using ∼600 kilobases of DNA sequence data from ∼1500 UCEs. We also integrated information from traditional markers (nuclear intron data from 15 loci and three mitochondrial gene regions). Species tree methods exhibited troubling behavior. Two methods [Maximum Pseudolikelihood for Estimating Species Trees (MP-EST) and Accurate Species TRee ALgorithm (ASTRAL)] appeared to perform optimally when the set of input gene trees was limited to the most variable UCEs, though ASTRAL appeared to be more robust than MP-EST to input trees generated using less variable UCEs. In contrast, the rooted triplet consensus method implemented in Triplec performed better when the largest set of input gene trees was used. We also found that all three species tree methods exhibited a surprising degree of dependence on the program used to estimate input gene trees, suggesting that the details of likelihood calculations (e.g., numerical optimization) are important for loci with limited phylogenetic information. As an alternative to summary species tree methods we explored the performance of SuperMatrix Rooted Triple - Maximum Likelihood (SMRT-ML), a concatenation method that is consistent even when gene trees exhibit topological differences due to the multispecies coalescent. We found that SMRT-ML performed well for UCE data. Our results suggest that UCE data have excellent prospects for the resolution of difficult evolutionary radiations, though specific attention may need to be given to the details of the methods used to estimate species trees.

52 additional reference population samples for the 55 AISNP panel.

Ancestry inference for a person using a panel of SNPs depends on the variation of frequencies of those SNPs around the world and the amount of reference data available for calculation/comparison. The Kidd Lab panel of 55 AISNPs has been incorporated in commercial kits by both Life Technologies and Illumina for massively parallel sequencing. Therefore, a larger set of reference populations will be useful for researchers using those kits. We have added reference population allele frequencies for 52 population samples to the 73 previously entered so that there are now allele frequencies publicly available in ALFRED and FROG-kb for a total of 125 population samples.

The evolution of peafowl and other taxa with ocelli (eyespots): a phylogenomic approach.

The most striking feature of peafowl (Pavo) is the males' elaborate train, which exhibits ocelli (ornamental eyespots) that are under sexual selection. Two additional genera within the Phasianidae (Polyplectron and Argusianus) exhibit ocelli, but the appearance and location of these ornamental eyespots exhibit substantial variation among these genera, raising the question of whether ocelli are homologous. Within Polyplectron, ocelli are ancestral, suggesting ocelli may have evolved even earlier, prior to the divergence among genera. However, it remains unclear whether Pavo, Polyplectron and Argusianus form a monophyletic clade in which ocelli evolved once. We estimated the phylogeny of the ocellated species using sequences from 1966 ultraconserved elements (UCEs) and three mitochondrial regions. The three ocellated genera did form a strongly supported clade, but each ocellated genus was sister to at least one genus without ocelli. Indeed, Polyplectron and Galloperdix, a genus not previously suggested to be related to any ocellated taxon, were sister genera. The close relationship between taxa with and without ocelli suggests multiple gains or losses. Independent gains, possibly reflecting a pre-existing bias for eye-like structures among females and/or the existence of a simple mutational pathway for the origin of ocelli, appears to be the most likely explanation.

Assessing PreCR™ repair enzymes for restoration of STR profiles from artificially degraded DNA for human identification.

Forensic scientists have used several approaches to obtain short tandem repeat (STR) profiles from compromised DNA samples, including supplementing the polymerase chain reaction (PCR) with enhancers and using procedures yielding reduced-length amplicons. For degraded DNA, the peak intensities of the alleles separated by electrophoresis generally decrease as the length of the allele increases. When the intensities of the alleles decrease below an established threshold, they are described as drop-outs, thus contributing to a partial STR profile. This work assesses the use of repair enzymes to improve the STR profiles from artificially degraded DNA. The commercial PreCR™ repair kit of DNA repair enzymes was tested on both purified DNA and native DNA in body fluids exposed to oxidizing agents, hydrolytic conditions, ultraviolet (UV) and ionizing radiation, and desiccation. The strategy was to restrict the level of DNA damage to that which yields partial STR profiles in order to test for allele restoration as opposed to simple allele enhancement. Two protocols were investigated for allele restoration: a sequential protocol using the manufacturer's repair procedure and a modified protocol reportedly designed for optimal STR analysis of forensic samples. Allele restoration was obtained with both protocols, but the peak height appeared to be higher for the modified protocol (determined by Mann-Kendall Trend Test). The success of the approach using the PreCR™ repair enzymes was sporadic; it led to allele restoration as well as allele drop-out. Additionally, allele restoration with the PreCR™ enzymes was compared with restoration by alternative, but commonly implemented approaches using Restorase™, PCRBoost™, bovine serum albumin (BSA) and the Minifiler™ STR system. The alternative methods were also successful in improving the STR profile, but their success also depended on the quality of the template encountered. Our results indicate the PreCR™ repair kit may be useful for restoring STR profiles from damaged DNA, but further work is required to develop a generalized approach.