Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry combined with multidimensional scaling, binary hierarchical cluster tree and selected diagnostic masses improves species identification of Neolithic keratin sequences from furs of the Tyrolean Iceman Oetzi

A simplified sample preparation for hair and skin proteins towards the application of archaeological fur and leather

Conventional protocols for proteomics analysis usually start by extracting or solubilizing the proteins from their substrates. This step can be challenging for archaeological proteins, when they are heavily contaminated or decayed. The remains of animal fur/leather objects from an early medieval burial in Trossingen (580 CE) from Southwest Germany were submitted to proteomics analysis for species identification. One leather sample (TS3) yielded enough proteins to be identified as cow using a urea-based extraction (method "U"), confirming the microscopic identification. But two other samples (TS1 and TS2), compacted in a greyish brittle matrix with embedded hair visible only under microscope, could not be characterized with that method. A series of tests was performed using reduction/alkylation with tris(2-carboxyethyl)phosphine/chloroacetamide at 95 °C directly on the matrix (method "95C"), with or without the use of paramagnetic beads as cleaning procedure (from the single-pot solid-phase-enhanced sample preparation or SP3). Hair keratins were best recovered in the fur samples when digestion was performed directly on the insoluble fraction after reduction/alkylation. For both samples TS1 and TS2, an ovicaprine species was identified, with TS1 firmly identified as sheep due to the exceptional preservation of keratins and keratin-associated proteins. The simplified protocol also showed improvements on the identification of collagen in the leather sample TS3. SIGNIFICANCE: North European burials had a strong tradition of bodies wrapped or covered in animal skins; textiles, furs, items of leather and other organic materials were essential parts of grave furnishings (as part of the deceased's clothing as well as grave goods) but are mostly only preserved as residues, uncharacterized layers or stains. Even well preserved finds like the waterlogged organic remains from Trossingen show strong limitations for visual identification. Because the traditional protocol was unable to extract proteins efficiently from the soil matrix in which the samples were embedded, a new method was devised that enabled the determination of the sampled fur remains as sheep and the leather fragments as cow leather. Analyses showed that the key step for accessing the proteins in the soiled archaeological samples was heating for 10 min at 95 °C with a solution of tris(2-carboxyethyl)phosphine/chloroacetamide (TCEP/CAA). The protocol proposed in this study offers to work on minute samples (1 mg of sample or less) and overcame the challenge of separating the proteins from their archaeological matrix. It offers interesting perspectives for archaeological sites or objects where clothing are suspected but hardly detectable, such as burial sites.

Paleoproteomics

Paleoproteomics, the study of ancient proteins, is a rapidly growing field at the intersection of molecular biology, paleontology, archaeology, paleoecology, and history. Paleoproteomics research leverages the longevity and diversity of proteins to explore fundamental questions about the past. While its origins predate the characterization of DNA, it was only with the advent of soft ionization mass spectrometry that the study of ancient proteins became truly feasible. Technological gains over the past 20 years have allowed increasing opportunities to better understand preservation, degradation, and recovery of the rich bioarchive of ancient proteins found in the archaeological and paleontological records. Growing from a handful of studies in the 1990s on individual highly abundant ancient proteins, paleoproteomics today is an expanding field with diverse applications ranging from the taxonomic identification of highly fragmented bones and shells and the phylogenetic resolution of extinct species to the exploration of past cuisines from dental calculus and pottery food crusts and the characterization of past diseases. More broadly, these studies have opened new doors in understanding past human-animal interactions, the reconstruction of past environments and environmental changes, the expansion of the hominin fossil record through large scale screening of nondiagnostic bone fragments, and the phylogenetic resolution of the vertebrate fossil record. Even with these advances, much of the ancient proteomic record still remains unexplored. Here we provide an overview of the history of the field, a summary of the major methods and applications currently in use, and a critical evaluation of current challenges. We conclude by looking to the future, for which innovative solutions and emerging technology will play an important role in enabling us to access the still unexplored "dark" proteome, allowing for a fuller understanding of the role ancient proteins can play in the interpretation of the past.

Palaeoproteomics identifies beaver fur in Danish high-status Viking Age burials - direct evidence of fur trade

Fur is known from contemporary written sources to have been a key commodity in the Viking Age. Nevertheless, the fur trade has been notoriously difficult to study archaeologically as fur rarely survives in the archaeological record. In Denmark, fur finds are rare and fur in clothing has been limited to a few reports and not recorded systematically. We were therefore given access to fur from six Danish high status graves dated to the Viking Age. The fur was analysed by aDNA and palaeoproteomics methods to identify the species of origin in order to explore the Viking Age fur trade. Endogenous aDNA was not recovered, but fur proteins (keratins) were analysed by MALDI-TOF-MS and LC-MS/MS. We show that Viking Age skin clothing were often composites of several species, showing highly developed manufacturing and material knowledge. For example, fur was produced from wild animals while leather was made of domesticates. Several examples of beaver fur were identified, a species which is not native to Denmark, and therefore indicative of trade. We argue that beaver fur was a luxury commodity, limited to the elite and worn as an easily recognisable indicator of social status.

A primer for ZooMS applications in archaeology

Collagen peptide mass fingerprinting by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry, also known as zooarchaeology by mass spectrometry (ZooMS), is a rapidly growing analytical technique in the fields of archaeology, ecology, and cultural heritage. Minimally destructive and cost effective, ZooMS enables rapid taxonomic identification of large bone assemblages, cultural heritage objects, and other organic materials of animal origin. As its importance grows as both a research and a conservation tool, it is critical to ensure that its expanding body of users understands its fundamental principles, strengths, and limitations. Here, we outline the basic functionality of ZooMS and provide guidance on interpreting collagen spectra from archaeological bones. We further examine the growing potential of applying ZooMS to nonmammalian assemblages, discuss available options for minimally and nondestructive analyses, and explore the potential for peptide mass fingerprinting to be expanded to noncollagenous proteins. We describe the current limitations of the method regarding accessibility, and we propose solutions for the future. Finally, we review the explosive growth of ZooMS over the past decade and highlight the remarkably diverse applications for which the technique is suited.

Ancient protein analysis in archaeology

The analysis of ancient proteins from paleontological, archeological, and historic materials is revealing insights into past subsistence practices, patterns of health and disease, evolution and phylogeny, and past environments. This review tracks the development of this field, discusses some of the major methodological strategies used, and synthesizes recent developments in archeological applications of ancient protein analysis. Moreover, this review highlights some of the challenges faced by the field and potential future directions, arguing that the development of minimally invasive or nondestructive techniques, strategies for protein authentication, and the integration of ancient protein analysis with other biomolecular techniques are important research strategies as this field grows.

Untangling the fibre ball: Proteomic characterization of South American camelid hair fibres by untargeted multivariate analysis and molecular networking

The proteomic analysis of hairs, yarns or textiles has emerged as a powerful method to determine species of origin, mainly used in archaeozoological research and fraud control. Differentiation between the South American camelid (SAC) species (the wild guanaco and vicuña and their respective domesticates the llama and alpaca) is particularly challenging due to poor database information and significant hybridization between species. In this study, we analysed 41 modern and 4 archaeological samples from the four SACs species. Despite strong similarities with Old World Camelidae, we identified 7 peptides specific to SACs assigned to keratin K86 and the keratin-associated proteins KAP13-1 and KAP11-1. Untargeted multivariate analysis of the LC-MS data permitted to distinguish SAC species and propose discriminant features. MS/MS-based molecular networking combined with database-assisted de novo sequencing permitted to identify 5 new taxonomic peptides assigned to K33a, K81 and/or K83 keratins and KAP19-1. These peptides differentiate the two wild species, guanaco and vicuña. These results show the value of combining database search and untargeted metabolomic approaches for paleoproteomics, and reveal for the first time the potential of molecular networks to highlight deamidation related to diagenesis and cluster highly similar peptides related to interchain homologies or intra- or inter-specific polymorphism. SIGNIFICANCE: This study used an innovative approach combining multivariate analysis of LC-MS data together with molecular networking and database-assisted de novo sequencing to identify taxonomic peptides in palaeoproteomics. It constitutes the first attempt to differentiate between hair fibres from the four South American camelids (SACs) based on proteomic analysis of modern and archaeological samples. It provides different proteomic signatures for each of the four SAC species and proposes new SAC taxonomic peptides of interest in archaeozoology and fraud control. SACs have been extensively exploited since human colonization of South America but have not been studied to the extent of their economic, cultural and heritage importance. Applied to the analysis of ancient Andean textiles, our results should permit a better understanding of cultural and pastoral practices in South America. The wild SACs are endangered by poaching and black-market sale of their fibre. For the first time, our results provide discriminant features for the determination of species of origin of contraband fibre.

Computational Comparison and Visualization of Viruses in the Perspective of Clinical Information

This paper addresses the visualization of complex information using multidimensional scaling (MDS). MDS is a technique adopted for processing data with multiple features scattered in high-dimensional spaces. For illustrating the proposed techniques, the case of viral diseases is considered. The study evaluates the characteristics of 21 viruses in the perspective of clinical information. Several new schemes are proposed for improving the visualization of the MDS charts. The results follow standard clinical practice, proving that the method represents a valuable tool to study a large number of viruses.

Reversible immobilization of a protein to a gold surface through multiple host–guest interactions

Monolayers were formed by specific interactions between adamantylated proteins (transferrin, lysozyme) and a β-cyclodextrin (β-CD) monolayer on a gold surface.

Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting

BACKGROUND

Biomolecular methods for species identification are increasingly being utilised in the study of changing environments, both at the microscopic and macroscopic levels. High-throughput peptide mass fingerprinting has been largely applied to bacterial identification, but increasingly used to identify archaeological and palaeontological skeletal material to yield information on past environments and human-animal interaction. However, as applications move away from predominantly domesticate and the more abundant wild fauna to a much wider range of less common taxa that do not yet have genetically-derived sequence information, robust methods of species identification and biomarker selection need to be determined.

RESULTS

Here we developed a supervised machine learning algorithm for classifying the species of ancient remains based on collagen fingerprinting. The aim was to minimise requirements on prior knowledge of known species while yielding satisfactory sensitivity and specificity. The algorithm uses iterations of a modified random forest classifier with a similarity scoring system to expand its identified samples. We tested it on a set of 6805 spectra and found that a high level of accuracy can be achieved with a training set of five identified specimens per taxon.

CONCLUSIONS

This method consistently achieves higher accuracy than two-dimensional principal component analysis and similar accuracy with hierarchical clustering using optimised parameters, which greatly reduces requirements for human input. Within the vertebrata, we demonstrate that this method was able to achieve the taxonomic resolution of family or sub-family level whereas the genus- or species-level identification may require manual interpretation or further experiments. In addition, it also identifies additional species biomarkers than those previously published.

Hindering the illegal trade in dog and cat furs through a DNA-based protocol for species identification

In Western countries dogs and cats are the most popular pets, and people are increasingly opposed to their rearing for the fur industry. In 2007, a Regulation of the European Union (EU) banned the use and trade of dog and cat furs, but an official analytical protocol to identify them as source species was not provided, and violations of law are still frequent in all Member States. In this paper we report on the development and validation of a simple and affordable DNA method for species detection in furs to use as an effective tool to combat illegal trade in fur products. A set of mitochondrial primers was designed for amplification of partial cytochrome b, control region and ND1 gene in highly degraded samples, like furs and pelts. Our amplification workflow involved the use of a non-specific primer pair to perform a first test to identify the species through sequencing, then the application of species-specific primer pairs to use in singleplex end-point PCRs as confirmation tests. The advantage of this two-step procedure is twofold: on the one hand it minimises the possibility of negative test results from degraded samples, since failure of amplification with a first set of primers can be offset by successful amplification of the second, and on the other it adds confidence and reliability to final authentication of species. All designed primers were validated on a reference collection of tissue samples, obtaining solid results in terms of specificity, sensitivity, repeatability and reproducibility. Application of the protocol on real caseworks from seized furs yielded successful results also from old and dyed furs, suggesting that age and chemical staining do not necessarily affect positive amplifications. Major pros of this approach are: (1) sensitive and informative primer sets for detection of species; (2) short PCR amplicons for the analysis of poor quality DNA; (3) binding primers that avoid contamination from human DNA; (4) user-friendly protocol for any laboratory equipped for analysis of low-copy-number DNA. Our molecular procedure proved to be a good starting point for enforcing the EU Regulation against dog and cat fur trade in forensic contexts where source attribution is essential to the assignment of responsibilities.

Follow-up on the characterization of peptidic markers in hair and fur for the identification of common North American species

RATIONALE

Species identification of hair is routinely done by microscopic analysis. Following previous studies that used protein analysis to characterize species markers in hair and wool, the present work aims at covering a larger number of species and to ultimately offer a method for rapid hair identification in forensics and archaeology.

METHODS

Hair is mostly made of alpha-keratins; these proteins have only been sequenced in a handful of species and most animal families are under-represented. Using a methodology developed for the characterization of peptidic markers in tissues such as bone (peptide mass fingerprinting or PMF) and commonly applied on collagen, hair from common North American fur-bearing species was analyzed by MALDI-TOF-MS to obtain peptidic profiles.

RESULTS

Alpha-keratin peptides that are typically dominant on peptide mass profiles of hair were chosen as markers. Matching peaks were identified for each species tested and compared to known sequences from related organisms whenever possible. The markers were used to create a flowchart to narrow down identification to the family level.

CONCLUSIONS

The methodology was developed on a limited numbers of markers chosen for their variability and reliability on the peptide mass fingerprint. In the absence of genetic sequences, this strategy is a quick way to compare species from a common geographic origin. The work presented here was focused on North American species but could be applied to other animal families.

Identification of proteins from 4200-year-old skin and muscle tissue biopsies from ancient Egyptian mummies of the first intermediate period shows evidence of acute inflammation and severe immune response

We performed proteomics analysis on four skin and one muscle tissue samples taken from three ancient Egyptian mummies of the first intermediate period, approximately 4200 years old. The mummies were first dated by radiocarbon dating of the accompany-\break ing textiles, and morphologically examined by scanning electron microscopy of additional skin samples. Proteins were extracted, separated on SDS-PAGE (sodium dodecyl sulfate polyacrylamide gel electrophoresis) gels, and in-gel digested with trypsin. The resulting peptides were analysed using nanoflow high-performance liquid chromatography-mass spectrometry. We identified a total of 230 unique proteins from the five samples, which consisted of 132 unique protein identifications. We found a large number of collagens, which was confirmed by our microscopy data, and is in agreement with previous studies showing that collagens are very long-lived. As expected, we also found a large number of keratins. We identified numerous proteins that provide evidence of activation of the innate immunity system in two of the mummies, one of which also contained proteins indicating severe tissue inflammation, possibly indicative of an infection that we can speculate may have been related to the cause of death.This article is part of the themed issue 'Quantitative mass spectrometry'.

A whole mitochondria analysis of the Tyrolean Iceman's leather provides insights into the animal sources of Copper Age clothing

The attire of the Tyrolean Iceman, a 5,300-year-old natural mummy from the Ötzal Italian Alps, provides a surviving example of ancient manufacturing technologies. Research into his garments has however, been limited by ambiguity surrounding their source species. Here we present a targeted enrichment and sequencing of full mitochondrial genomes sampled from his clothes and quiver, which elucidates the species of production for nine fragments. Results indicate that the majority of the samples originate from domestic ungulate species (cattle, sheep and goat), whose recovered haplogroups are now at high frequency in today’s domestic populations. Intriguingly, the hat and quiver samples were produced from wild species, brown bear and roe deer respectively. Combined, these results suggest that Copper Age populations made considered choices of clothing material from both the wild and domestic populations available to them. Moreover, these results show the potential for the recovery of complete mitochondrial genomes from degraded prehistoric artefacts.

Multidimensional scaling analysis of virus diseases

BACKGROUND AND OBJECTIVE

Viruses are infectious agents that replicate inside organisms and reveal a plethora of distinct characteristics. Viral infections spread in many ways, but often have devastating consequences and represent a huge danger for public health. It is important to design statistical and computational techniques capable of handling the available data and highlighting the most important features.

METHODS

This paper reviews the quantitative and qualitative behaviour of 22 infectious diseases caused by viruses. The information is compared and visualized by means of the multidimensional scaling technique.

RESULTS

The results are robust to uncertainties in the data and revealed to be consistent with clinical practice.

CONCLUSIONS

The paper shows that the proposed methodology may represent a solid mathematical tool to tackle a larger number of virus and additional information about these infectious agents.

Species identification of archaeological skin objects from Danish bogs: comparison between mass spectrometry-based peptide sequencing and microscopy-based methods

Denmark has an extraordinarily large and well-preserved collection of archaeological skin garments found in peat bogs, dated to approximately 920 BC - AD 775. These objects provide not only the possibility to study prehistoric skin costume and technologies, but also to investigate the animal species used for the production of skin garments. Until recently, species identification of archaeological skin was primarily performed by light and scanning electron microscopy or the analysis of ancient DNA. However, the efficacy of these methods can be limited due to the harsh, mostly acidic environment of peat bogs leading to morphological and molecular degradation within the samples. We compared species assignment results of twelve archaeological skin samples from Danish bogs using Mass Spectrometry (MS)-based peptide sequencing, against results obtained using light and scanning electron microscopy. While it was difficult to obtain reliable results using microscopy, MS enabled the identification of several species-diagnostic peptides, mostly from collagen and keratins, allowing confident species discrimination even among taxonomically close organisms, such as sheep and goat. Unlike previous MS-based methods, mostly relying on peptide fingerprinting, the shotgun sequencing approach we describe aims to identify the complete extracted ancient proteome, without preselected specific targets. As an example, we report the identification, in one of the samples, of two peptides uniquely assigned to bovine foetal haemoglobin, indicating the production of skin from a calf slaughtered within the first months of its life. We conclude that MS-based peptide sequencing is a reliable method for species identification of samples from bogs. The mass spectrometry proteomics data were deposited in the ProteomeXchange Consortium with the dataset identifier PXD001029.

Positioning the red deer (Cervus elaphus) hunted by the Tyrolean Iceman into a mitochondrial DNA phylogeny

In the last years several phylogeographic studies of both extant and extinct red deer populations have been conducted. Three distinct mitochondrial lineages (western, eastern and North-African/Sardinian) have been identified reflecting different glacial refugia and postglacial recolonisation processes. However, little is known about the genetics of the Alpine populations and no mitochondrial DNA sequences from Alpine archaeological specimens are available. Here we provide the first mitochondrial sequences of an Alpine Copper Age Cervus elaphus. DNA was extracted from hair shafts which were part of the remains of the clothes of the glacier mummy known as the Tyrolean Iceman or Ötzi (5,350–5,100 years before present). A 2,297 base pairs long fragment was sequenced using a mixed sequencing procedure based on PCR amplifications and 454 sequencing of pooled amplification products. We analyzed the phylogenetic relationships of the Alpine Copper Age red deer's haplotype with haplotypes of modern and ancient European red deer. The phylogenetic analyses showed that the haplotype of the Alpine Copper Age red deer falls within the western European mitochondrial lineage in contrast with the current populations from the Italian Alps belonging to the eastern lineage. We also discussed the phylogenetic relationships of the Alpine Copper Age red deer with the populations from Mesola Wood (northern Italy) and Sardinia.

Characterisation of novel α-keratin peptide markers for species identification in keratinous tissues using mass spectrometry

RATIONALE

In ancient and/or damaged artefacts containing keratinous materials, the species of origin of the materials can be difficult to identify through visual examination; therefore, a minimally destructive methodology for species identification is required. While hair fibres from some species have seen substantial characterisation, others such as horn or baleen have received little or no attention, or lack protein sequences allowing formal identification using proteomics techniques.

METHODS

We used the PMF method (Peptide Mass Fingerprinting with matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF-MS)) to catalogue and identify diagnostic peptide markers up to the genus level. Sequences were checked using nanoflow liquid chromatography/electrospray ionisation tandem mass spectrometry (nanoLC/ESI-MS/MS) and unidentified peptides were searched against a theoretical database generated by substituting amino acids in keratin sequences.

RESULTS

Specific peptides were identified by m/z and sequences characterised whenever possible for a range of species belonging to Bovidae and Camelidae, and for tissues such as baleen and horn. The theoretical database allowed an increase in the number of peptides of up to 10% in species with little genetic information.

CONCLUSIONS

A proteomics approach can successfully identify specific markers for the identification of materials to the genus level, and should be considered when identification by other means is not possible. Identification by PMF is fast, reliable and inexpensive.

Proteomics analysis of ancient food vessel stitching reveals >4000-year-old milk protein

RATIONALE

The 19th century excavation of an exceptionally well-preserved Early Bronze Age high status log-coffin burial from northern England, dated to 2200-2020 BC, yielded a 'food residue' collected from the inside of an accompanying bark vessel. This residue contained fibrous stitching that was used to hold the bark walls of the vessel together, first described as animal sinews, although the surviving material clearly contains animal hairs. Protein sequencing by soft ionisation mass spectrometry should identify the proteins that constitute the material, as well as the animal species from which they derive.

METHODS

Peptide mass fingerprinting (PMF) by MALDI-TOF-MS combined with liquid chromatography-ESI-LTQ-MS/MS was used to identify low-abundance proteins as well as the dominant proteins in the sample.

RESULTS

These proteomics techniques revealed the dominant proteins as deriving from the fibrous keratins (both types 1 and 2) and collagens (types 1 and 3), specifically those indicative of a bovine source. However, several peptide sequences diagnostic of bovine α-S1-casein were also observed, indicating that traces of milk had been preserved within the >4000-year-old fibrous residue.

CONCLUSIONS

The presence of this food vessel that once contained milk within a burial of high status is suggestive of the importance placed on these secondary products. It is perhaps more remarkable that this information was retrieved not only from material of such antiquity, but also from an excavation that occurred nearly 200 years ago.