Metagenomic analysis is a highly promising technique in paleogenetic research that allows analysis of the complete genomic make-up of a sample. This technique has successfully been employed to archaeological sediments, but possible leaching of DNA through the sequence limits interpretation. We applied this technique to the analysis of ancient DNA (aDNA) from Late Quaternary stalagmites from two caves in Western Georgia, Melouri Cave and Solkota. Stalagmites form closed systems, limiting the effect of leaching, and can be securely dated with U-series. The analyses of the sequence data from the Melouri Cave stalagmite revealed potential contamination and low preservation of DNA. However, the two Solkota stalagmites preserved ancient DNA molecules of mammals (bear, roe deer, bats) and plants (chestnut, hazelnut, flax). The aDNA bearing layers from one of the two Solkota stalagmites were dated to between ~84 ka and ~56 ka BP by U-series. The second Solkota stalagmite contained excessive detrital clay obstructing U-series dating, but it also contained bear bones with a minimum age of ~50 BP uncalibrated years and ancient DNA molecules. The preservation of authentic ancient DNA molecules in Late Quaternary speleothems opens up a new paleogenetic archive for archaeological, paleontological and paleoenvironmental research.
Ancient DNA (aDNA) genomics is a valuable information source on past biological diversity and evolutionary trajectories of species1,2,3. A particular focus has been on the analysis of human bones yielding high coverage genomes of archaic humans4,5,6 and enabling novel insights into human dispersals and migrations7,8,9. Additionally, several studies employed a metagenomic approach to the study of DNA sequence data retrieved from soils and sediments from various environments, including caves10, lakes11, arid12 and arctic environments13,14. Slon et al.15 using a shotgun sequencing approach and analysing the deamination pattern for identification of authentic ancient DNA16, reported on the recovery of archaic human aDNA as well as other mammalian aDNA from archaeological deposits at several sites. This metagenomic research shows that not only bones but many other components of the archaeological and paleontological record, such as deposits themselves, may serve as a preservation medium for ancient DNA.
The retrieval of authentic aDNA strands from deposits is made possible by the binding of DNA to various sediment and soil components, including clays17,18,19, silica20,21, humic acids22 and calcite23. However, soil chemistry, e.g. pH20, and soil transformation processes, such as the dissolution and precipitation of minerals, greatly impacts preservation. Furthermore, post-depositional movement of sediment components through turbation, such as bioturbation, as well as other soil translocation processes, such as clay illuviation, may negatively impact the integrity and complicate the interpretation of aDNA found in sediments and soils24,25.
Speleothems are another potential source for aDNA and have long been explored as paleoenvironmental archives using other methods, mainly stable isotopes studies and U-series dating26. Paleoenvironmental studies most commonly use stalagmites, which form on the cave floor below a drip and in which calcite precipitates in distinctive and continuous layers. Preservation conditions for DNA are ideal inside the stalagmites and especially for those located deeper inside caves, where low temperatures limit the production of reactive oxygen species27, there is little exposure to UV light28 and a stable pH as well as very low permeability inside the stalagmite and hence a low risk of DNA migration between consecutive stalagmite layers. Few DNA studies have been conducted on speleothems and they are mainly restricted to the surface of speleothems29,30,31 with the exception of a study by Zepeda Mendoza et al.32, who analysed two samples from the inside of popcorn calcite from a dolerite granite gneiss cave. However, while they reported that aDNA was preserved inside the speleothems, they concluded that this type of speleothem is unsuitable as a biological paleoarchive32. ‘Popcorn’ calcite exhibits rather irregular and complex multi-dimensional growth patterns compared with the relatively simple sequential deposition of consecutive layers in stalagmites, making the latter a geometrically simpler and therefore more reliable archive.
We here present a first metagenomic study exploring aDNA metagenomics combined with U-series dates of stalagmites from two caves from Western Georgia, Solkota and Melouri Cave, as archives on species that interacted with or inhabited these cave systems. In 2016, we surveyed six caves in the Imereti region of Georgia (Fig. 1): three archaeological cave sites - Satsurblia Cave33, Dzudzuana34, Kotias Klde35 - and three non-archaeological cave sites - Melouri Cave, Datvi Cave, Solkota. The latter three caves contained cave bear bones, but were not archaeologically explored, and only these sites had favourable speleothems for the aim of this study. Each of the three archaeological cave sites had a large entrance, permitting light and air to enter into the cave, which typically makes them less suitable for quantitative paleoenvironmental reconstructions based on stable isotope studies26. We therefore chose to proceed in our analysis with one stalagmite from Melouri Cave (MEL) and with two stalagmites from Solkota (SKK) (Fig. 2). Ancient DNA was detected in several locations inside the two Solkota stalagmites (SKK 16 3 and 5). However, analysis of the stalagmite from Melouri Cave revealed potential contamination and low preservation of DNA (see results below, SI Text 1 and Fig. 1) and we focus here on the Solkota samples.
Solkota cave lies near the village of Kumistavi above the river Semi. Solkota is part of the same karst system as Satsurblia Cave, Melouri Cave and Datvi Cave, the Tskaltubo karst system in the Sataplia-Tskaltubo Limestone Massif36. The cave entrance of Solkota is located in a sinkhole with a very steep slope and little light penetrating into the cave entrance. The rear of the cave consists of a steep, muddy slope leading upwards with bedrock exposed at the top of the slope. Another, former entrance may have been present here. Next to limestone boulders the cave contains clay-rich mud and water concentrated in ponds and rills. The cave is rich in speleothems (stalagmites, flowstone, stalactite, curtains, straws) as well as in bone and we also found three lithic flakes. Bones are often exposed in rill beds and we collected 40 bones. One bone was identified as capra, two as canids and the remaining 37 as cave bear (Ursus spelaeus or Ursus deningeri). We also observed several bear hibernation dens in the inner parts of the cave. We collected one large stalagmite, which had been growing on top of three cave bear long bones (SKK 16 5) from the secondary context of a rill bed (Fig. 2B,C). The bones comprised of right and left distal humerus and a distal shaft of a tibia. Carnivore gnaw marks were observed on the surface of the bones. We collected a second stalagmite (SKK 16 3) from the top of the slope at the rear of the cave, close to its potential root (Fig. 2A).
Uranium concentrations in speleothem SKK 16 3 are relatively low, typically in the range 35–70 ppb (Table 1). Three samples from SKK 16 3 (3/10, 3/6.5, 3/5) (Fig. 3) have high 232Th contents (c. 42–77 ppb) resulting in low (230Th/232Th) values (between 2.1 and 3.2), and therefore unacceptably large age uncertainties after corrections for detrital thorium have been applied (SI Table 1). Similarly, the 232Th contents for all samples from SKK 16 5 (Fig. 4) are too high to calculate ages for this speleothem (SI Table 1). However, six samples from SKK 16 3, corresponding to dft (depth from top) values of 17.5, 13.2, 6, 5.5, 4 and 1.7 cms, have low 232Th contents yield moderately high (230Th/232Th) ratios in the range 14.7–148 (Table 1), permitting the calculation of precise U-series ages following correction for the detrital clay component. As discussed in the Methods section, clay-rich samples from the cave were measured separately using a total dissolution approach to constrain the actual (230Th/232Th) value of the detrital component in the speleothems, considerably reducing the uncertainties in the corrected U-series ages compared to the standard approach of simply assuming a (230Th/232Th) value for the detrital component. Overall, detrital corrected U-series dates for the key stalagmite SKK 16 3 from Solkota range from 83.79 ± 0.64 ka at a depth from top (dft) of 13.2 cm to 50.02 ± 0.68 ka at a dft of 1.7 cm (Fig. 3). In detail however, considerable complexity in the speleothem’s growth history is evident.
The date from the sample closest to the base of the speleothem (17.5 cm dft) yields an age of 80.26 ± 1.87 ka, out of stratigraphic order, and just outside the error limits of the next three dates above (83.79 ± 0.64, 84.57 ± 0.76, 83.32 ± 1.48 at dfts of 13.2, 6 and 5.5 cms respectively, Fig. 3). This may indicate some minor post-depositional migration of uranium in the lower section of the speleothem. Regardless, the similarity of the next three dates (all three within their 2σ errors) indicates an interval of very rapid speleothem growth around 84 ka and no detectable post-depositional uranium migration. Warm, wet intervals favour high speleothem growth rates and we note that this time interval coincides with climatic amelioration during Greenland Interstadial 21.1e (GI-21.1e)37 during Marine Isotope Stage (MIS) 5a.
Examination of the cut surface of stalagmite SKK16 3 reveals the presence of three distinctly visible depositional hiatuses at dfts of 4.5 (hiatus 1), 4.8 (hiatus 2) and 5.6 cms (hiatus 3) (Fig. 3). These provide clear evidence that the speleothem growth was discontinuous above the interval dated at 83.32 ± 1.48 ka. The DNA sample SKK1 is located between hiatus 3 and the combined hiatus 1 and 2. Consequently, the reliable bracketing ages for SKK 1 are 84.57 ± 0.76 ka at 6 cms dft (older layer), 83.32 ± 1.48 ka at 5.5 cms dft (same layer) and 56.7 ± 0.95 ka at 4 cms dft (younger layer) (Table 1, Fig. 3). The latter date corresponds to a warm MIS3 interval in the N. Hemisphere (GI-16.1). The DNA sample SKK3 was taken from the same spot as the u-series sample at 17.5 cm dft (Fig. 3) with an age of around 80.26 ± 1.87 ka and is capped by the u-series age 84.57 ± 0.76 ka at 6 cms dft (Table 1).
A fragment of bone from the bottom of stalagmite SKK 16 5 was sent for AMS radiocarbon dating at the Research Laboratory for Archaeology and the History of Art, University of Oxford. The age of the bone is beyond the range of radiocarbon, giving it a minimum age of 50.200 BP uncalibrated (OxA-36539).
All samples were aligned to the human reference genome (GRCh37/hg19) and damage patterns were assessed. Alignments to the human genome were either too short, <35 bp (base pairs), and aligned uniquely to the human genome or they were longer, >75 bp, and showed a low deamination rate, indicative of a high likelihood of contaminant modern human DNA (SI Fig. 2). As such, all primate sequences were excluded from further study due to potential for human contaminant DNA.
Analysis of the Melouri cave samples (MEL1–4) showed that the majority of aligned reads fell within the ranges of <35 bp, prone to misalignments, and >75 bp, with low deamination indicating potential contamination and low preservation of DNA of ancient origin (SI Table 2). The Melouri samples were therefore excluded from further analysis. In contrast, almost all Solkota cave samples (SKK1, 3–12) showed preservation of aDNA, most with multiple genera identifications (Fig. 5). In the case of SKK 2, screening prior to sequencing showed no discernible presence of DNA and this sample was therefore excluded from further analysis.
An initial global alignment to the Blastn database with MGmapper revealed 16 commonly occurring genera in the Solkota samples (SI Table 2). The reassessment for false positives (following the approach by Slon et al.15 and see method section below), positively identified 6 genera: Capreolus (roe deer), Rhinolophus (bat), Ursus (bear), Castanea (chestnut), Corylus (hazelnut), and Linum (flax) (Fig. 5 and SI Table 3). The combined number of uniquely aligned reads to the reference species of these genera (SI Tables 3 and 4) per speleothem section varied between 4541 (SKK12) and 72056 (SKK3), and the per-species damage patterns between 0 and 54% (Fig. 5, SI Table 3). The genus most frequently found was Capreolus (roe deer) which was positively identified in 7 of the 11 samples, followed by Rhinolophus (bat) in six, Castanea (chestnut) in five, Ursus (bear) and Corylus (hazelnut) in four, and Linum (flax) in only two (Fig. 5, SI Table 3). In SKK 10 we confirmed the presence of six ancient genera, the highest number among all Solkota samples. Interestingly, the samples from the bear bone embedded within the speleothems (SKK7, 10 and 12) also contained exogenous aDNA, including aDNA of other mammalia genera and plantae with damage patterns ranging from 11.87 to 27.50% (Fig. 5). The samples from the bear bone embedded in the speleothem matrix provided high numbers of aligned reads to Ursus (8465 for SKK7, but only 126/125 for SKK 10/12) and display a strong deamination pattern above 50% for SKK 7 and nearly 30% for SKK 10 and 12 (Fig. 5, SI Table 3). Together, the aligned reads for bear, the clear damage pattern, the minimum age of the bone and the zooarchaeological observations indicate that the speleothem embedded bone originates from cave bear. Sample SKK 1 also displayed a strong deamination pattern for bear reads, nearly 50%, here, however, no bear bone was present. Negative control analysis identified no ancient molecules aligned to any of the mentioned genomes (SI Table 3), indicating no cross-contamination between samples.
Discussion and Conclusion
Growth phases of stalagmite SKK 16 3 can be linked to global climatic records. The speleothem’s rapid but intermittent growth around 84 ka coincides with climatic amelioration during Marine Isotope Stage (MIS) 5a, the Greenland Interstadial 21.1e (GI-21.1e)37. The resumption of growth at 56.7 ± 0.95 coincides with a warm interval in MIS3, Interstadial GS 16.137. For both time periods, interstadial GI-21e and GI 16.1, no dates for human occupation in the region have been reported. However, this may be the result of limited dating of human occupation deposits beyond the range of radiocarbon in this region, many Middle Paleolithic sites still lack absolute dating (Bronze Cave, Sakaja and Ortvala38, Koudaro I, Undo39, Djruchula and Tsona40). Speleothem growth at Solkota Cave suggests episodic favourable climatic condition in the region during parts of MIS5 and MIS3, which could also have supported human occupation. However, climatic interpretations need to be further investigated with stable isotope data and can now also be coupled with environmental aDNA from the same stalagmite.
Our first metagenomic analyses presented here allowed the documentation of aDNA from inside the stalagmites with characteristic deamination damage to the DNA. We were able to identify the aDNA inside the stalagmites down to genera and to show the preservation of aDNA from mammals (bear, roe deer, horseshoe bat) and plants (chestnut, hazelnut, flax) from various layers inside the speleothem as well as from the incorporated bone (Fig. 6). The identified plants and large mammals indicate a generally forested environment. Similar landscape is also reconstructed from later Paleolithic sites of the area, such as Kotias Klde41,42 and Satsurblia33,42. Apart from sample SKK 2, all samples from stalagmites SKK 16 3 and 5 contained aDNA from one or more genera. SKK 1 and 3 from stalagmite SKK 16 3 gave each one genera confirmation, bear and roe deer respectively. For stalagmite SKK 16 5, the number of detected genera range from 1 to 6 per sample. Bone samples from this stalagmite (SKK7, 10, 12) exhibit a higher number of confirmed genera (4–6 per sample) than pure speleothem samples (SKK4, 5, 6, 8, 9, 11) (1–3 per sample). The preservation of aDNA with characteristic deamination damage in most of the studied samples show that both stalagmite and bone embedded in stalagmites are a promising medium for aDNA preservation. However, only for the aDNA from stalagmite SKK 16 3 absolutes ages could be inferred. SKK 3, containing roe deer, can be confidently assigned to be older than ~84 ka. The same layer that preserved the ancient bear DNA in SKK1, between hiatus 3 and the combined hiatus 1 and 2, was dated to 83.32 ± 1.48 ka with U-series. However, this layer is rather thin and it is possible that the aDNA sample contained dust from either hiatus event and the bracketing the U-series dates, 84.57 ± 0.76 ka (older layer) and 56.7 ± 0.95 ka (younger layer), provide a more reliable chronological frame. For stalagmite SKK 16 5 only a minimum age for the bone, >50.200 uncalibrated, could be deduced and the age of the stalagmite, which formed after the deposition of the bone, remains open.
The diverse occurrence of the aDNA with variability inside the stalagmites, between sampling contexts (pure speleothem versus bone embedded in the speleothem), between stalagmites from the same cave and from different caves of the same cave system, Solkota and Melouri Cave, open up the question of the formation history of the aDNA in this context. This formation history includes the DNA source, DNA adsorption, transport (agent), deposition and preservation of DNA inside the stalagmites. Zepeda Mendoza et al.32 noted in their analysis, that aDNA inside the studied popcorn speleothem contained aDNA originating from outside the cave as well as from different parts inside the cave. Similarly, in our study aDNA from cave dwelling genera (bear, bat) as well as non-cave dwelling genera (roe deer, hazelnut, chestnut and flax) are present. This mixture of allochthonous and autochthonous sources suggests also a mixture of depositional processes. A number of possible processes can be imagined. First, water is one possible transport agent, which infiltrates through soils above the cave through the epi-karst system into the cave, transporting plant, animal, bacterial, insect and fungal DNA. Another possible biogenic process is the direct contact of the organism, from which the DNA derived, with the speleothem, e.g. bears rubbing on speleothems, food remains (roe deer, nuts) adhering to the bear and being transported into the cave, bats and bear defecating and urinating. A final possible process is the gravitational transport of DNA adhering to sediment particles into the cave, as can easily be imagined with the steep entrance slope at Solkota cave. Clays, fine organic matter, silica grains and other minerals can all occur inside speleothems32,43,44. After deposition and adsorption of the DNA and formation of the speleothem, DNA preservation and integrity is promoted by the closed system of the stalagmite, making them a probably more reliable archive than sedimentary deposits and soils. In addition, precise dating of layers containing aDNA is possible. However, possible minor post-depositional migration of uranium in the lower part of speleothem SKK 16 5 (the lowermost age is out of stratigraphic order) opens up the question of the integrity of speleothem to post-depositional migration of aDNA. This being said, if DNA fragments are strongly adsorbed to sediment components, e.g. clay minerals17,18,19 deposited during the hiatus events within the speleothem, post-depositional migration by drip waters that percolate through the speleothem structure is less likely for the DNA than for water-soluble uranium.
The preservation of aDNA inside speleothems entails diverse prospects for archaeological and paleoenvironmental research. Paleoenvironmental speleothem records from cave sites are associated with contemporaneous archaeological, paleontological and paleobotanical records via correlating dates. The detection of mammalian and plant aDNA inside speleothems reveals a potentially direct link between these records. Furthermore, stalagmites can serve as an additional archive for old excavation, where all sediments, archaeological and paleontological remains have already been removed, or for sites where bone and overall organic preservation is poor.
Materials and Methods
For sample extraction and to limit/control for sample contamination, speleothems were sawed only partially open with a rock saw, using deionized water for cooling, and were then broken open to reveal surfaces for sampling. After stratigraphic interpretation of the speleothems, samples were taken with a micro drill using layer-parallel elliptical sampling pits and including samples from the sawed and broken area (Figs 3 and 4). U-series samples were taken to constrain the age of calcite layers that contain aDNA and some were taken in tandem with the DNA samples, from adjacent/overlapping sampling locations. Sample size was 100–200 mg for U-series and 25–60 mg for DNA analysis. Samples for the latter were taken in a clean laboratory, using bleach to clean the surface of the speleothems and about 2 mm of the exposed inner speleothems surface was removed with the micro drill before sampling to limited contamination. Samples for DNA sequencing include samples from the speleothem as well as samples from the bone inside speleothem SKK 16 5, cortical and trabecular bone (Fig. 4).
Methods for U-series dating methods were similar to those described by Fankhauser et al.44. Briefly, sample powders were weighed and spiked with a mixed 233U/236U/229Th tracer. Following dissolution and spike equilibration, separation of uranium and thorium was completed by anion exchange chromatography. All measurements were carried out using a ThermoFisher Neptune® high-resolution inductively coupled plasma mass spectrometer with an Aridus® desolvation nebuliser at the School of Earth Sciences, University College Dublin. 238U/236U and 233U/236U ratios were measured using three Faraday collectors, while the 234U ion beam was measured in a secondary electron multiplier (SEM). Calibration of the SEM relative to the Faraday detectors was achieved by sample-standard bracketing, using the certified 235U/238U ratio of the IRMM-3184 standard. Mass-fractionation corrections for uranium were applied based on the certified 233U/236U ratio of the mixed spike. The minor isotopes of thorium (230Th and 229Th) were measured using the SEM, whilst two Faraday collectors were used to simultaneously measure the much larger 232Th ion beam. A standard-sample bracketing method using the IRMM-318444 standard a uranium standard was applied for the thorium mass fractionation correction and for the SEM/Faraday yield calibration.
As discussed in the results, several sub-samples from the speleothem contained significant amounts of non-carbonate ‘detrital’ thorium as evidenced by high 232Th concentrations and low 230Th/232Th ratios (Table 1). This necessitated corrections for inherited non-radiogenic 230Th. In the literature this correction is often achieved by simply assuming that the 230Th/232Th ratio of the inherited (non-carbonate) fraction is equivalent to a typical upper crustal 238U/232Th activity ratio of 0.8 ± 0.445. In this study, in order to reduce the dating uncertainties associated with the detrital correction we measured the U-series isotope ratios in clay-rich samples from the cave to constrain the actual non-carbonate (silicate clay mineral) 230Th/232Th ratio.
DNA samples were extracted and prepared within a clean room environment at a dedicated ancient DNA laboratory at University College Dublin (UCD), Ireland. Unilateral air-flow hoods, tyvek suits, hair nets, face masks and non-powdered gloves were used to limit contamination. Upon amplification further steps were performed in a modern laboratory environment. DNA extraction was undertaken according to the method outlined by Collin et al.46,47 (Collin manuscript in preparation). This protocol, developed for the extraction of aDNA from anthropogenic sediments, reduces the action of potentially damaging geopolymers on DNA by chemical inhibition and increases the range as well as quantity of isolated DNA fragments thereby reducing dependency on DNA capture techniques for exploratory samples. The extraction protocol consisted of samples being placed into Matrix E lysing tubes (MP-BIO-116914050) and submerging them in 1 mL of extraction buffer up to a final concentration of 0.45 M EDTA, 0.02 M TrisHCL (pH 8.0), 0.025% SDS, 0.5 mg/mL Proteinase K and dH2O. Samples were incubated at 39 °C overnight using an Eppendorf Thermomixer® C with a rotational speed of 1600rpm to ensure maximal bead movement. Supernatant was collected and cleaned following Dabney et al.48 and DNA libraries were prepared following Meyer and Kircher49. Negative controls were included at all stages and pooled to investigate the presence of damaged reads indicative of cross-contamination during DNA extraction and library preparation.
DNA samples were amplified using a universal Illumina primer and Polymerase chain reaction (PCR) following Gamba et al.50 and were repeated 15 times following Collin et al.46,47. Assessment of PCR reaction concentrations were performed on an Agilent 2100 Bioanalyser following instructions of the manufacturer. Based on these concentrations samples were pooled into a 4 nM working solution and sequenced on an Illumina NextSeq. 500/550 using the high output v2 (75 cycle) reagent kit at UCD Conway Institute of Biomolecular and Biomedical Research. Genera were initially identified by cross referencing raw sequencing data with the National Centre for Biotechnology (NCBI) genomic database using Basic Local Alignment Search Tool (BLAST)51,52,53 at an evalue of 1e-05 and MGmapper54 with a 0.8 fraction of matches + mismatches and minimum alignment score of 2547. In order to reduce the chances of false positive identifications of taxa at the family or genus level we followed a similar approach to that of Slon et al.15. After the initial alignment using Blastn, an offline nucleotide BLAST + database was generated with the genomic sequences of the 16 main eukaryote species detected (12 animals and 4 plants, SI Table 2) with “makeblastdb” (genome versions for each species presented in SI Table 4). Each sample’s trimmed reads were aligned to this database using default “blastn” parameters and the resulting output data was imported into MEGAN Community Edition v.6.2.1355. For the last common ancestor (LCA) parameters we used a minimum bitscore of 35 within the top 10% of the best alignments, minimum support count of 2, and the default “naive” LCA algorithm15. A minimum 1% of the total assigned reads was necessary to accept a taxa to be present following Slon et al.15 and were then used for downstream analysis (SI Table 3). The sets of reads assigned to each species were extracted into independent files and then aligned to the correspondent genome for authentication. We used BWA v.0.7.5a-r405 “aln”56 with permissive parameters (−o 2 −n 0.01) and disabled seed (-l 1000), and then the aligned reads were filtered for a minimum quality of 25, sorted, duplicates removed, and indexed using samtools v.1.3.157. Using mapDamage257 we investigated and quantified the presence of C to T substitutions on the 5’ end and G to A on the 3’ end of the sequences, and used a minimum value of 10% on both sides for a taxon to be identified as ancient6,16. Average read lengths were calculated using Genome Analysis Toolkit’s “ReadLengthDistribution” (see SI Fig. 3 for an averaged deamination length plot)58.
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The research presented here was supported by a New Interdisciplinary Initiatives Fund grant (SF1362) to MCS by the University College Dublin. Further support came from a Government of Ireland Postdoctoral Fellowship to MCS (GOIPD/2015/775), a Medical Trainee PhD Scholarship, Anatomy, School of Medicine, University College Dublin awarded to TCC and from the Moshe and Bina Stekelis Foundation and Moshe Stekelis Chair in Prehistoric Archaeology for excavation at Satsurblia Cave in 2016 to ABC, hosting our field expedition. We are grateful to the excavation team of Satsurblia, the people of Kumistavi and the Georgian State Museum. We further would like to thank Mick Murphy from the UCD School of Earth Sciences for assistance with the U-series lab work and Susanna Sawyer from Department of Evolutionary Anthropology, University of Vienna, for assistance with sequencing data interpretation. Figure 1 was created with ASTER GDEM, a product of METI and NASA, and with help from R. C. Power, Max-Planck Institute of Evolutionary Anthropology. We are grateful to S. Tüpke and the Max-Planck Institute of Evolutionary Anthropology for making the silhouettes in Fig. 6.
The authors declare no competing interests.
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Stahlschmidt, M.C., Collin, T.C., Fernandes, D.M. et al. Ancient Mammalian and Plant DNA from Late Quaternary Stalagmite Layers at Solkota Cave, Georgia. Sci Rep 9, 6628 (2019). https://doi.org/10.1038/s41598-019-43147-0
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