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Palaeoproteomic evidence identifies archaic hominins associated with the Châtelperronian at the Grotte du Renne

Edited by Richard G. Klein, Stanford University, Stanford, CA, and approved July 29, 2016 (received for review April 13, 2016)
September 16, 2016
113 (40) 11162-11167

Significance

The displacement of Neandertals by anatomically modern humans (AMHs) 50,000–40,000 y ago in Europe has considerable biological and behavioral implications. The Châtelperronian at the Grotte du Renne (France) takes a central role in models explaining the transition, but the association of hominin fossils at this site with the Châtelperronian is debated. Here we identify additional hominin specimens at the site through proteomic zooarchaeology by mass spectrometry screening and obtain molecular (ancient DNA, ancient proteins) and chronometric data to demonstrate that these represent Neandertals that date to the Châtelperronian. The identification of an amino acid sequence specific to a clade within the genus Homo demonstrates the potential of palaeoproteomic analysis in the study of hominin taxonomy in the Late Pleistocene and warrants further exploration.

Abstract

In Western Europe, the Middle to Upper Paleolithic transition is associated with the disappearance of Neandertals and the spread of anatomically modern humans (AMHs). Current chronological, behavioral, and biological models of this transitional period hinge on the Châtelperronian technocomplex. At the site of the Grotte du Renne, Arcy-sur-Cure, morphological Neandertal specimens are not directly dated but are contextually associated with the Châtelperronian, which contains bone points and beads. The association between Neandertals and this “transitional” assemblage has been controversial because of the lack either of a direct hominin radiocarbon date or of molecular confirmation of the Neandertal affiliation. Here we provide further evidence for a Neandertal–Châtelperronian association at the Grotte du Renne through biomolecular and chronological analysis. We identified 28 additional hominin specimens through zooarchaeology by mass spectrometry (ZooMS) screening of morphologically uninformative bone specimens from Châtelperronian layers at the Grotte du Renne. Next, we obtain an ancient hominin bone proteome through liquid chromatography-MS/MS analysis and error-tolerant amino acid sequence analysis. Analysis of this palaeoproteome allows us to provide phylogenetic and physiological information on these ancient hominin specimens. We distinguish Late Pleistocene clades within the genus Homo based on ancient protein evidence through the identification of an archaic-derived amino acid sequence for the collagen type X, alpha-1 (COL10α1) protein. We support this by obtaining ancient mtDNA sequences, which indicate a Neandertal ancestry for these specimens. Direct accelerator mass spectometry radiocarbon dating and Bayesian modeling confirm that the hominin specimens date to the Châtelperronian at the Grotte du Renne.
To understand the cultural and genetic interaction between the last Neandertals and some of the earliest anatomically modern humans (AMHs) in Europe, we need to resolve the taxonomic affiliation of the hominins associated with the “transitional” industries characterizing the replacement period, such as the Châtelperronian (1, 2). The well-characterized Châtelperronian lithic technology has recently been reclassified as fully Upper Paleolithic (3) and is associated at several sites with bone awls, bone pendants, and colorants (4, 5). The Grotte du Renne at Arcy-sur-Cure, France, is critical to competing behavioral and chronological models for the Châtelperronian, as at this site the Châtelperronian is stratigraphically associated with hominin remains that are morphologically identified as Neandertals (68). Hypotheses explaining this association range from “acculturation” by AMHs (9), to independent development of such artifacts by Neandertals (5), to movement of pendants and bone artifacts from the overlying Aurignacian into the Châtelperronian layers (10, 11), or to movement of the hominin specimens from the underlying Mousterian into the Châtelperronian layers (10, 12). The first two hypotheses assume that the stratigraphic association of the hominins and the Châtelperronian assemblage is genuine, whereas the latter two hypotheses counter that the association is the result of large-scale, taphonomic movement of material. In all scenarios, the morphological identification of these hominins as Neandertals is accepted but unsupported by molecular evidence.
To test the chronostratigraphic coherence of the site, Bayesian models of radiocarbon dates for the site have been constructed (10, 13). The results of these two models contradict each other in the extent to which archaeological material moved between the Châtelperronian and non-Châtelperronian archaeological layers. Furthermore, they have been criticized on various methodological aspects (13, 14), and the first (10) is at odds with some archaeological evidence that suggests that large-scale displacement of material into the Châtelperronian from either the overlying or underlying layers is unlikely (14). Both Bayesian models are only indirect tests of the hominin–Châtelperronian association, as no direct radiocarbon dates of the hominins are available.
Pending the discovery of further hominin specimens at other Châtelperronian sites, the Châtelperronian at the Grotte du Renne remains crucial to obtaining a coherent biological and chronological view of the transitional period in Europe. It has been demonstrated previously that palaeoproteomics allows the identification of additional hominin specimens among unidentified Pleistocene faunal remains [zooarchaeology by mass spectrometry, or ZooMS (1517)], although here the value of doing so has enabled the direct dating and unambiguous identification of the Neandertal association with the Châtelperronian. We successfully apply this to the Grotte du Renne Châtelperronian. We obtain a direct hominin radiocarbon date at the site, thereby directly addressing the chronostratigraphic context of this specimen in relation to the hypothesis regarding movement of the hominin specimens from the underlying Mousterian into the Châtelperronian layers and provide biomolecular data (palaeoproteomics, aDNA) on the genetic ancestry of the Grotte du Renne Châtelperronian hominins. Although proteomic data on Pleistocene hominin bone specimens has been presented before (17, 18), the phylogenetic and physiological implications of such datasets has, so far, not been fully explored. Here we use the potential of error-tolerant MS/MS database searches in relation to the biological questions associated with the Châtelperronian. Such technical advances have not been applied to entire palaeoproteomes from Late Pleistocene hominins before (19). In addition, we demonstrate that the bone proteome reflects the developmental state of an ancient hominin individual. Throughout our study, we develop and use tools designed to minimize, identify, and exclude protein and DNA contamination (SI Appendix, Fig. S1).

Results

ZooMS Screening.

We screened 196 taxonomically unidentifiable or morphologically dubious bone specimens (commonly <20 mg of bone) using ZooMS from the areas of the Grotte du Renne that had previously yielded hominin remains (20). This required us to construct a collagen type I (COL1) sequence database including at least one species of each medium or larger-sized genus in existence in Western Europe during the Late Pleistocene (19) (Dataset S1), and from this derived a ZooMS peptide marker library (Dataset S2). ZooMS uses differences in tryptic peptide masses from COL1α1 and COL1α2 amino acid chains to taxonomically identify bone and tooth specimens (15). The peptide marker library combines newly obtained and published COL1 sequences with published ZooMS peptide markers (15, 21) and enabled us to confidently identify 28 bone fragments within the extant Pan-Homo clade to the exclusion of other Hominidae (SI Appendix, Figs. S1 and S2 and Table S1). Together with other studies, this confirms the suitability of ZooMS as a screening technique to identify hominin specimens among unidentified fragmentary bone specimens (17, 22). We confirmed these identifications for samples AR-7, AR-16, and AR-30 by analyzing the same extracts using shotgun proteomics and spectra assignment against our COL1 sequence database (SI Appendix, Fig. S3). In each case, taxonomic assignment to the genus Homo had the highest score (SI Appendix, ZooMS Screening).
Molecular contamination is an important issue when studying ancient biomolecules, especially when it concerns ancient hominins. Extraction blanks were included throughout all analysis stages to monitor the introduction of potential contamination, although such controls only provide insight into contamination introduced during the laboratory analysis. MALDI-TOF-MS analysis of these blanks showed no presence of COL1 peptides (SI Appendix, Fig. S2B). Furthermore, as a marker of diagenetic alteration of amino acids (23), glutamine deamidation values based on ammonium-bicarbonate ZooMS hominin spectra indicated that the analyzed collagen has glutamine deamidation values significantly different from modern bone specimens (t test: P = 2.31E−11) (Fig. 1A), but similar to deamidation values obtained for faunal specimens analyzed from the Grotte du Renne [t tests; peptide P1105: P = 0.85; peptide P1706: P = 0.55 (24)]. We interpret this to support the identification of endogenous, noncontaminated hominin COL1.
Fig. 1.
Identification of damaged ancient proteins. (A) Deamidation values of bone ammonium-bicarbonate extracts for database samples and Arcy bone specimens analyzed using MALDI-TOF-MS. (B) Deamidation frequency based on spectral counts obtained through LC-MS/MS analysis. Cluster analysis provides three clusters (filled triangles, squares, and circles). Open circles represent proteins that have two or fewer spectral matches and were not included in cluster analysis. COL10α1 is indicated in pink; 0% indicates no deamidation and 100% indicates complete deamidation. (Inset) AR30 ppm error distribution by peptide mass for assigned spectra, with spectra matching to COL10α1 in red, open circles and those to COL10α1 128N in red, filled circles.

Palaeoproteomic (LC-MS/MS) Analysis.

After identifying additional hominin specimens at the Grotte du Renne by ZooMS, we undertook palaeoproteomic and genetic analyses to establish whether these newly identified hominins represent AMHs or Neandertals. Error-tolerant liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of the protein content of the ZooMS extracts of AR-7, AR-16, and AR-30 and two additional palaeoproteomic extractions performed on AR-30 resulted in the identification of 73 proteins (Table 1 and SI Appendix, Table S2). We base our assessment of endogenous and possibly exogenous proteins on four lines of evidence. First, we analyzed our extraction blanks by LC-MS/MS analysis. This allowed us to identify several proteins introduced as contaminants during the analysis (human keratins, histones, and HBB) (Table 1 and SI Appendix, Table S2), and matches to these proteins for AR-7, AR-16, and AR-30 were excluded from further in-depth analysis.
Table 1.
Palaeoproteomic summary statistics per analyzed bone specimen
Variable Blank AR-7 AR-16 AR-30 (ZooMS) AR-30A AR-30B
No. of MS/MS scans 732 43,073 20,564 11,294 16,923 20,634
No. of matching MS/MS scans 19 (2.6%) 7,035 (16.3%) 4,053 (19.7%) 2,232 (19.8%) 3,416 (20.2%) 3,769 (18.3%)
No. of protein groups 7 42 30 24 39 40
 Endogenous 0 20 21 11 23 26
 Status unknown 0 10 6 8 12 8
 Exogenous 7 12 3 5 4 6
No. of NCPs 7 7 7 13 12
No. of unique protein groups 4 2 1 4 2
NCP, noncollagenous protein.
Second, we searched our data against the complete UniProt database, which contains additional nonhuman and nonvertebrate proteins from various sources that could have contaminated our extracts. Spectral matches to nonvertebrate proteins comprise <1.0% of the total number of matched spectra, indicating a minimal presence of nonvertebrate contamination (SI Appendix, Fig. S4). These spectral matches were subsequently excluded from analysis.
Third, unsupervised cluster analysis based on glutamine and asparagine deamidation frequencies observed for all identified vertebrate proteins revealed a clear separation in three clusters (Fig. 1B and SI Appendix, Fig. S5). The first group of 14 proteins displays almost no deamidated asparagine and glutamine positions. Many of these (keratins, trypsin, bovine CSN2), but not all (COL4α6, UBB, DCD), have previously been reported as contaminants (Fig. 1B, filled triangles) (25). All proteins identified in our extraction blanks have deamidation frequencies that fall into this group, further suggesting that these 14 proteins are contaminants. The second and third groups comprise a total of 35 proteins with elevated levels of deamidated asparagine and glutamine residues (Fig. 1B, filled circles and squares). These include various collagens and noncollagenous proteins previously reported in (ancient) bone proteomes, and we interpret that these proteins are endogenous to the analyzed bone specimens. We were unable to obtain sufficient deamidation spectral frequency data for 24 additional proteins, as insufficient numbers of asparagine or glutamine-containing peptides were present (Fig. 1B, open circles). Some of these 24 proteins have previously been identified in nonhominin bone proteomes or are involved in bone formation and maintenance [POSTN, THBS1, ACTB, C3, IGHG1, and the Delta-like protein 3 (DLL3)], and are therefore likely endogenous to the bone specimens as well.
Fourth, after exclusion of contaminants, protein composition was similar to other nonhominin bone palaeoproteomes (25, 26). For these proteins, we observed the presence of additional diagenetic and in vivo posttranslational modifications (SI Appendix, Fig. S6 and Tables S3 and S4), likewise suggesting the retrieval of an endogenous hominin palaeoproteome. On the basis of these results, we suggest that matches to human proteins in palaeoproteomic analysis should be supported by additional lines of evidence to substantiate the claim that these represent proteins endogenous to the analyzed tissue and do not derive from exogenous contamination derived from either handling of the bone specimen or contamination introduced during the analytical procedure.
Among the noncontaminant proteins there are several proteins that are (specifically) expressed by (pre)hypertrophic chondrocytes [COL10α1 and COL27α1 (27)] and osteoblasts [DLL3 (28) and COL24α1 (29)] during bone formation. The presence of COL10α1 is particularly noteworthy. It is preferentially secreted by (pre)hypertrophic chondrocytes during initial bone ossification in bone formation, including cranial sutures (30, 31), and would therefore be removed from the bone matrix dependent on the rate of bone remodeling of a given mineralized tissue. In line with this, gene ontology (GO) annotation analysis indicates enrichment for GO biological processes related to cartilage development and bone ossification (SI Appendix, Table S5). These observations are consistent with osteological and isotopic observations, which suggest the identified bone specimens belong to a breastfed infant (see Isotopic Analysis and Radiocarbon Dating). GO annotation analysis further identified a significant group of blood microparticles (GO:00725262) such as albumin (ALB). These proteins have been identified in nonhominin palaeoproteomes as well and are consistently incorporated into the mineralized bone matrix (25, 26).
Error-tolerant analysis of MS/MS spectra has the ability to identify amino acid variants not present in protein databases or reference genomes, potentially revealing relevant phylogenetic information. We used an error-tolerant search engine (PEAKS) against the human reference proteome and compared our protein sequence data against available amino acid sequence variations known through genomic research for modern humans (32), a Denisovan genome (33), and the coding regions of three Neandertals (34). Using this approach, we confidently identify five proteins that contain a total of seven amino acid positions with nonsynonymous SNPs with both alleles at frequencies ≥1.0% in present-day humans (SI Appendix, Table S6). In six cases, we observed the ancestral Hominidae state in the proteome data, which is also present in Denisovan and Neandertal protein sequences (34). These include one position for which a majority of AMHs (93.5%) carry a derived substitution (COL28α1; dbSNP rs17177927) and where our data contain the ancestral position (amino acid P). For the seventh case, COL10α1, we observed an amino acid state present in Denisovans, Neandertals, and 0.9% of modern humans haplotypes (46/5,008 1000 Genomes haplotypes) (SI Appendix, Tables S6 and S9), but not in any other Hominidae (Pongo abelii, Gorilla gorilla, or Pan troglodytes) (SI Appendix, Table S7).
We identified COL10α1 in all three analyzed bone specimens (SI Appendix, Table S2), but not in our extraction blank. The deamidation frequency observed for COL10α1 (Fig. 1B) and the excretion of COL10α1 by (pre)hypertrophic chondrocytes during ossification (30) indicate an endogenous origin of the identified COL10α1 peptides. We identify one peptide for COL10α1 (SI Appendix, Table S8) that contains an amino acid position indicative of an archaic sequence (Neandertal or Denisovan). The peptide of interest is represented in two palaeoproteomic analyses performed on AR-30, with three spectrum-peptide matches in total (SI Appendix, Table S7). Correct precursor mass and fragment ion assignment were validated manually to exclude false assignment of 13C-derived isotopic peaks as deamidated variants of the peptide, which led to the exclusion of a fourth spectrum (SI Appendix, Palaeoproteomics). All three spectra represent semitryptic peptides (SI Appendix, Fig. S7). As in other palaeoproteomes, the presence of such semitryptic peptides is not uncommon and is likely the result of protein diagenesis (23, 25, 3537). In addition, all three spectra contain a hydroxylated proline on the same position (COL10α1 position 135), further demonstrating consistency among our peptide-spectrum matches. The replication of our results in two independent analyses and the inferred presence of posttranslational modifications in all three spectra, one of which is identically placed, further support the notion that these are endogenous to the analyzed bone specimen.
The nucleotide position of interest is located at chr6:116442897 (hg19, dbSNP rs142463796), which corresponds to amino acid position 128 in COL10α1 (UniProt Q03692). For all three available Neandertal sequences, this position carries the nucleotide T (34), which translates into the amino acid N (codon “Aat,” 3′ to 5′). The position is heterozygous N/D in the Denisovan genome (33), a D in the Ust’-Ishim ∼45,000 BP AMH genome (38), and D in 99.1% of modern humans (32) (codon “Gat,” 3′ to 5′). The remaining 0.9% of modern human individuals analyzed match the Neandertal sequence. All these individuals are outside sub-Saharan Africa (Fig. 2). For amino acid position COL10α1 128, the amino acid N represents the derived state, and the amino acid D is the ancestral state (SI Appendix, Table S7).
Fig. 2.
Southeast Asian frequency of the archaic-like allele of rs142463796 in modern human populations. The frequency of the archaic-like allele in modern human populations is displayed in red [Yoruba allele frequency in populations shown in light blue for the 1000 Genomes dataset and dark blue for the Simons Genome Diversity Panel (SGDP) dataset]. The diameter is proportional to the number of individuals in a given population, which ranges between one and 16 individuals in the SGDP and between 66 and 113 individuals in the 1000 Genomes phase 3 data.

COL10α1 Introgression into Modern Humans.

When present in modern humans, the archaic-like allele is found in populations known to have archaic introgression (39), such as Southeast Asia (1–6%) and Oceania (33–47%), and with high frequency in Papua New Guinea (47%) (Fig. 2 and SI Appendix, Table S9). This archaic-like allele is found on extended archaic-like haplotypes that have a minimum length of 146 kb (SI Appendix, Fig. S8). Given the recombination rate of 0.4 cM/Mb in this region (40) and the age of the Neandertal and Denisovan samples (39), we compute that this haplotype length is more consistent with archaic introgression than with incomplete lineage sorting (SI Appendix, Archaic Ancestry of rs142463796 in COL10α1). Because COL10α1 128N is present in <1% of present-day humans as a consequence of archaic introgression, its presence in sample AR-30 suggests archaic (Neandertal+Denisovans) ancestry for at least part of its nuclear genome.

mtDNA Analysis.

To support the palaeoproteomic evidence, we extracted mtDNA from AR-14 and AR-30 (SI Appendix, Ancient DNA and Table S10). Elevated C to T substitution frequencies at terminal sequence ends (up to 12.1% for AR-14 and 28.1% for AR-30) suggest that at least some of the recovered sequences for both specimens are of ancient origin (41) (SI Appendix, Table S11). When restricting the analysis to these deaminated mtDNA fragments, support for the Neandertal branch in a panel of diagnostic mtDNA positions is above 70% (SI Appendix, Fig. S9), but it is without support for the Denisovan branch. This is confirmed when only diagnostic positions differing between Neandertals and present-day humans are included (SI Appendix, Table S12). The uniparental mode of maternal inheritance for mtDNA, the absence of notable mtDNA contamination from Neandertal mtDNA in the extraction blanks, and the dominance of deaminated mtDNA sequences aligning to the Neandertal mtDNA branch all demonstrate that AR-14 and AR-30 are mitochondrial Neandertals. Residual modern human contamination in the fraction of deaminated sequences makes reconstruction of Neandertal mtDNA consensus sequences impossible for both bone specimens. We were therefore unable to test whether AR-14 and AR-30 are maternally related. Nevertheless, the above analyses allow us to conclude that both specimens carry mtDNA of the type seen in Late Pleistocene Neandertals.

Isotopic Analysis and Radiocarbon Dating.

We extracted collagen from specimen AR-14 (MAMS-25149) to provide a direct accelerator mass spectometry (AMS) date from a Grotte du Renne hominin, and thereby address the possibility that these hominins derive from the underlying Middle Paleolithic Mousterian [i.e., the hypothesis regarding movement of the hominin specimens from the underlying Mousterian into the Châtelperronian layers (10)]. In addition, we extracted collagen from 21 additional faunal bone specimens, identified by ZooMS and from the Châtelperronian Layers IX and X at the Grotte du Renne, to provide an isotopic context for the δ15N and δ13C stable isotopes obtained for AR-14. The collagen quality criteria are within accepted ranges (SI Appendix, Table S14). The stable isotopes indicate the δ15N is 5.4‰ higher for AR-14 compared with associated carnivores (SI Appendix, Fig. S11 and Tables S14 and S15). This suggests breastfeeding as a major dietary protein source (42) (SI Appendix, Stable Isotope Analysis and Associated Fauna), which is in agreement with the presence of COL10α1 and the presence of an unfused vertebral hemiarch, and in support of the interpretation that these remains represent a breastfed infant (SI Appendix, Fig. S10 and Table S13).
To test different chronostratigraphic scenarios, we constructed four different Bayesian models to address various criticisms raised against previous models: the Hublin et al. model, which includes all ages and priors following ref. 13; the hominin-modified model, which includes only ages from hominin-modified bone specimens (priors and dates from ref. 13); the Discamps et al. model, which excludes radiocarbon ages obtained from an area of the site considered reworked by some (43) (priors and dates from ref. 13); and the Higham et al. model, which includes all ages and priors following ref. 44 (a model that also includes hominin-modified bones only). The Bayesian CQL code for each of the four models is included in SI Appendix, Radiocarbon Dating and Bayesian Modeling of AR-14. All four models treat the Châtelperronian Layers IX and X as a single chronological phase based on lithic refits between these two layers (13, 45). The measured age for AR-14, 36,840 ± 660 14C BP, fits within the Châtelperronian chronological boundaries calculated in all four Bayesian models (Fig. 3 and SI Appendix, Table S16)(10, 13). With a posterior outlier probability of 4–8%, AR-14 is unlikely to derive from the underlying Mousterian or the overlying Aurignacian at the Grotte du Renne (SI Appendix, Table S16), even when only hominin-modified bone specimens are included or bone specimens from potentially reworked areas are excluded (following ref. 43).
Fig. 3.
Bayesian model of radiocarbon dates for the Grotte du Renne. Model constructed including all radiocarbon dates reported in ref. 13. Archaeological layer boundaries are shown, with the direct dates on the Grotte du Renne (AR-14) and the Saint-Césaire hominins highlighted in red. Posterior/prior outlier probability for AR-14 is shown in square parenthesis (more details in SI Appendix, Radiocarbon Dating and Bayesian Modeling of AR-14).

Discussion and Conclusion

Despite their spatial proximity within Layer X and squares C7 and C8, none of the newly described specimens could be fitted together to form larger fragments. The morphologically informative specimens, however, seem to represent small fragments of an immature cranium and an unfused vertebral hemiarch of neonatal age (SI Appendix, Fig. S10 and Table S13). This is supported by isotopic evidence suggesting that these fragments belonged to a nonweaned infant and by proteomic evidence in the form of proteins present in bone before bone remodeling has started. All the newly identified specimens were found in close spatial association with a previously described hominin temporal bone from square C7, Layer Xb, assigned to an infant around 1 y old, as well as 10 dental specimens from squares C7 and C8 (6, 7). These dental specimens overlap in developmental age, suggesting they represent one or possibly two individuals between 6 and 18 mo old (7). The 28 newly identified specimens, together with already described specimens, may therefore represent the skeletal remains of a single infant.
Our study specifically aimed to provide molecular support that the hominin remains present in the Châtelperronian layers at the Grotte du Renne are Neandertals. Moreover, we test the hypothesis that these hominins derive from the underlying Mousterian (i.e., the hypothesis regarding movement of the hominin specimens from the underlying Mousterian into the Châtelperronian layers). This hypothesis must be rejected according to the chronological data presented here and is in accordance with the spatial positioning of both the newly identified hominin specimens and the previously identified specimens, as these are located in rows 1–6 outside the sloping area of the Grotte du Renne or the areas that might have been affected by digging and leveling activities (12, 13, 46). We cannot contribute more substantially on the hypothesis that some cultural artifacts, in particular those interpreted as body ornaments and bone awls, in the Châtelperronian layers derive from the overlying Aurignacian (10, 11). This has been contested elsewhere (14, 47). There is chronological evidence that at least some of these bone artifacts are relatively in situ (10), and archaeological arguments that large-scale displacement of lithic artifacts is unlikely (14). Similar cultural artifacts are also present in the Châtelperronian at Quinçay (4), although no hominin remains are present there. At Quinçay, there are no later Upper Paleolithic levels overlying the Châtelperronian, which is partly sealed by roof collapse, and so artifact intrusion from overlying levels cannot account for the bone artifact association with a Châtelperronian lithic assemblage characterized technologically as Upper Paleolithic (3). So, if these cultural artifacts are considered relatively in situ at either site, then these belong within the Châtelperronian Neandertal cultural repertoire.
Our biomolecular data provide evidence that hominins contemporaneous with the Châtelperronian layers have archaic nuclear and Neandertal mitochondrial ancestry, supporting previous morphological studies (6, 7). They are therefore among some of the latest Neandertals in western Eurasia, and possible candidates to be involved in gene flow from Neandertals into AMHs (or vice versa) (48). Future analysis of the nuclear genome of these or other Châtelperronian specimens might be able to provide further insights into the direction, extent, and age of gene flow between Late Pleistocene Western European Neandertals and “incoming” AMHs (49, 50).
Our results reveal that the bone proteome is a dynamic tissue, reflecting ontogeny during the early stages of bone development. This realization requires further investigation, as this has not been explored in-depth previously in the palaeoproteomic or the clinical literature (25, 26). We hypothesize that COL10α1 or other cartilage-associated proteins could be retained in mineralized tissues that have reduced rates of remodeling (cranial sutures, epiphyseal plates), mineralized tissues that do not remodel (dentine), or bone regions that are in intimate contact with other tissue types (trabecular bone, articular surfaces). The excretion of COL10α1 by (pre)hypertrophic chondrocytes implies this protein will be lost from the bone proteome during bone development and maintenance and may not be present routinely in adult fossil hominin specimens (51). The presence of such proteins in this study is consistent with the level of ontogenetic development of the bone specimen analyzed, as observed through isotopic and morphological analyses. As a result of these observations, future quantitative (palaeo)proteomics might explain phenotypic differences observed between members of our genus and other hominids by studying protein composition and in vivo protein modification of ancient hominin specimens.
The identification of COL10α1 and additional proteins predicted to carry derived amino acid substitutions specific for Late Pleistocene clades within the genus Homo (34) in the data presented here and elsewhere for nonhominin palaeoproteomes (25, 26) suggests ancient proteins are a viable approach to study the taxonomic affiliation of Pleistocene fossil hominins, in particular when ancient DNA is poorly or not preserved. So, the analysis of ancient proteins provides a second biomolecular method capable of differentiating between Late Pleistocene clades within our genus when adequate error-tolerant search algorithms are used. Furthermore, the contextual analysis of these ancient proteins has the potential to provide in vivo details on ancient hominin ontogeny, physiology, and phenotype.

Methods

We screened 196 bone specimens using ZooMS (SI Appendix, Fig. S1) and taxonomically identified these using previously published and newly obtained ZooMS COL1 peptide marker masses (15, 21). Osteological analysis of bone specimens identified as homininae suggest these specimens possibly represent an immature infant. LC-MS/MS analysis was conducted on three (SI Appendix, Fig. S1) of the hominin bone specimens, as published previously for nonhominin bone specimens (19), as well as two additional analyses of one palaeoproteomic extract generated following a modified protein extraction protocol (52). We took measures to avoid and detect protein contamination throughout our palaeoproteomic workflow. Ancient DNA analysis followed protocols outlined elsewhere (53, 54), as did stable isotope and radiocarbon analysis of collagen extracts (55). All biomolecular extractions were performed in dedicated facilities at the Max Planck Institute for Evolutionary Anthropology. Extended methods can be found in SI Appendix. COL1 database samples can be accessed via ProteomeXchange with identifier PXD003190, and LC-MS/MS data for AR-7, AR-16, and AR-30 via PXD003208. The DNA sequences analyzed in this study were deposited in the European Nucleotide Archive under accession number PRJEB14504.

Data Availability

Data deposition: The sequences reported in this paper have been deposited in the ProteomeXchange (accession nos. PXD003190 and PXD003208) and in the European Nucleotide Archive (accession no. PRJEB14504).

Acknowledgments

We thank S. van der Mije (Naturalis), F. Boschin (University of Siena), G. Perry (Pennsylvania State University), P. Kosintsev (Russian Academy of Sciences), J.-J Cleyet-Merle (Musée National de Préhistoire), and A. Lister (Natural History Museum) for providing COL1 reference samples; A. Reiner, L. Klausnitzer, S. Steinbrenner, L. Westphal, B. Höber, B. Nickel, U. Stenzel, and A. Weihmann for technical support; and S. McPherron, M. P. Richards, and our reviewers for their constructive comments, which greatly improved the paper. This research was supported by funding through the Max-Planck-Gesellschaft, European Research Council Advanced Award CodeX, Deutsche Forschungsgemeinschaft (SFB1052, project A02), and Engineering and Physical Sciences Research Council NE/G012237/1.

Supporting Information

Appendix (PDF)
Supporting Information
pnas.1605834113.sd01.txt
pnas.1605834113.sd02.xlsx

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Information & Authors

Information

Published in

Go to Proceedings of the National Academy of Sciences
Go to Proceedings of the National Academy of Sciences
Proceedings of the National Academy of Sciences
Vol. 113 | No. 40
October 4, 2016
PubMed: 27638212

Classifications

Data Availability

Data deposition: The sequences reported in this paper have been deposited in the ProteomeXchange (accession nos. PXD003190 and PXD003208) and in the European Nucleotide Archive (accession no. PRJEB14504).

Submission history

Published online: September 16, 2016
Published in issue: October 4, 2016

Keywords

  1. palaeoproteomics
  2. ZooMS
  3. Châtelperronian
  4. Neandertal

Acknowledgments

We thank S. van der Mije (Naturalis), F. Boschin (University of Siena), G. Perry (Pennsylvania State University), P. Kosintsev (Russian Academy of Sciences), J.-J Cleyet-Merle (Musée National de Préhistoire), and A. Lister (Natural History Museum) for providing COL1 reference samples; A. Reiner, L. Klausnitzer, S. Steinbrenner, L. Westphal, B. Höber, B. Nickel, U. Stenzel, and A. Weihmann for technical support; and S. McPherron, M. P. Richards, and our reviewers for their constructive comments, which greatly improved the paper. This research was supported by funding through the Max-Planck-Gesellschaft, European Research Council Advanced Award CodeX, Deutsche Forschungsgemeinschaft (SFB1052, project A02), and Engineering and Physical Sciences Research Council NE/G012237/1.

Notes

This article is a PNAS Direct Submission.

Authors

Affiliations

Frido Welker1 [email protected]
Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
BioArCh, University of York, York YO10 5DD, United Kingdom;
Mateja Hajdinjak
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Sahra Talamo
Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Klervia Jaouen
Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Michael Dannemann
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Medical Faculty, University of Leipzig, 04103 Leipzig, Germany;
Francine David
Paris Unité Mixte de Recherche 7041, Archéologies et Sciences de l'Antiquité, Centre National de la Recherche Scientifique, 92023 Nanterre, France;
Michèle Julien
Paris Unité Mixte de Recherche 7041, Archéologies et Sciences de l'Antiquité, Centre National de la Recherche Scientifique, 92023 Nanterre, France;
Matthias Meyer
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Ian Barnes
Department of Earth Sciences, Natural History Museum, London SW7 5BD, United Kingdom;
Selina Brace
Department of Earth Sciences, Natural History Museum, London SW7 5BD, United Kingdom;
Pepijn Kamminga
Naturalis Biodiversity Center, 2300 RA Leiden, The Netherlands;
Roman Fischer
Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7FZ, United Kingdom;
Benedikt M. Kessler
Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7FZ, United Kingdom;
John R. Stewart
Faculty of Science and Technology, Bournemouth University, Dorset BH12 5BB, United Kingdom
Svante Pääbo
Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;
Matthew J. Collins
BioArCh, University of York, York YO10 5DD, United Kingdom;
Jean-Jacques Hublin
Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany;

Notes

1
To whom correspondence should be addressed. Email: [email protected].
Author contributions: F.W., J.R.S., M.J.C., and J.-J.H. designed research; F.W., M.H., S.T., K.J., M.D., M.M., J.K., and R.F. performed research; F.D., M.J., I.B., S.B., P.K., R.F., B.M.K., and S.P. contributed new reagents/analytic tools; F.W., M.H., S.T., K.J., M.D., F.D., M.J., M.M., J.K., I.B., S.B., P.K., R.F., B.M.K., J.R.S., S.P., M.J.C., and J.-J.H. analyzed data; and F.W., M.J.C., and J.-J.H. wrote the paper.

Competing Interests

The authors declare no conflict of interest.

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    Palaeoproteomic evidence identifies archaic hominins associated with the Châtelperronian at the Grotte du Renne
    Proceedings of the National Academy of Sciences
    • Vol. 113
    • No. 40
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