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A 14,000-year-old genome sheds light on the evolution and extinction of a Pleistocene vulture.

Ericson, PGP ; Irestedt, M ; et al.
In: Communications biology, Jg. 5 (2022-08-23), Heft 1, S. 857
Online academicJournal

A 14,000-year-old genome sheds light on the evolution and extinction of a Pleistocene vulture  Introduction

The New World Vulture [Coragyps] occidentalis (L. Miller, 1909) is one of many species that were extinct by the end of the Pleistocene. To understand its evolutionary history we sequenced the genome of a 14,000 year old [Coragyps] occidentalis found associated with megaherbivores in the Peruvian Andes. occidentalis has been viewed as the ancestor, or possibly sister, to the extant Black Vulture Coragyps atratus, but genomic data shows occidentalis to be deeply nested within the South American clade of atratus. Coragyps atratus inhabits lowlands, but the fossil record indicates that occidentalis mostly occupied high elevations. Our results suggest that occidentalis evolved from a population of atratus in southwestern South America that colonized the High Andes 300 to 400 kya. The morphological and morphometric differences between occidentalis and atratus may thus be explained by ecological diversification following from the natural selection imposed by this new and extreme, high elevation environment. The sudden evolution of a population with significantly larger body size and different anatomical proportions than atratus thus constitutes an example of punctuated evolution.

14,000 year old DNA reveals the evolutionary dynamics and adaptations of South American vultures.

Paleogenomics, i.e., the genome-scale sequencing of specimens that are many thousands of years old, has facilitated the study of evolutionary processes at the genetic level in populations that are long gone and has become a valuable complement to the fossil record[1]–[3]. Through genetic data, we can clarify phylogenetic relationships of extinct species, test biogeographic and evolutionary hypotheses, and study factors that have led to the extinction of ancient populations and species. Much paleogenomic work of the last decades (e.g., refs. [4]–[6]) has focused on the dynamics and demography of the many species and populations that went extinct at the end of the Pleistocene as a consequence of drastic environmental change and increased hunting pressure[7]–[9]. These studies have benefitted from the fact that many extinctions took place in temperate regions where the chance of finding fossils with preserved DNA is particularly good.

The Pliocene and Pleistocene evolution of large herbivores megafauna, such as proboscideans, edentates, camelids, and horses, sparked the co-evolution of various specialized predators, scavengers, parasites, etc.[10],[11], many of which went extinct along with the megaherbivores at the end of the Pleistocene. In the Americas alone, this was the fate of more than thirty species of mammalian and avian predators and scavengers[12],[13]. For example, among the New World Vultures (Cathartidae), only 5 out of 11 genera survived into the Holocene[11],[14]. Herein, we combine genetic and paleontological data to gain insights into the evolution and extinction of one of these fossil birds, the New World Vulture [Coragyps] occidentalis (Miller 1909). We argue that this bird co-evolved with the mammalian megaherbivores during the ice age and that its extinction at the end of the Pleistocene coincides with the extinction of these large herbivores.

Results and discussion

[Coragyps] occidentalis-morphological identification, geographic distribution, and paleoecolo...

Several skeletal elements of a single individual vulture were collected during paleontological excavations in 1904–1905 in the cave Casa del Diablo, c. 50 km northwest of Lake Titicaca in Peru[15],[16] (Supplementary Fig. 1 and Note 1). The specimens are dated to 13,990 ± 110 cal yr BP (Supplementary Table 1). Based on morphology, they are identified as of the extinct vulture [Coragyps] occidentalis (Fig. 1a and Supplementary Notes 2, 3). This provides the first South American record of a bird previously only known from Late Pleistocene localities in Mexico and USA[17]–[19] (Fig. 1b and Supplementary Table 2).

Graph: Fig. 1 a Fossils identified as [Coragyps] occidentalis collected in the cave Casa del Diablo situated at c. 3800 m a.s.l. in the Altiplano of southern Peru (marked with a red star on the map). b Localities for fossil Coragyps specimens were identified as either atratus (blue) or occidentalis (red). c The ratio diagrams illustrate that occidentalis (red) and atratus (blue) have marked differences in their body proportions. Skull measurements (left) are from Fisher (1944) and postcranial measurements from Howard (1968) (for data, see S3 Table in S1 Appendix). The whiskers around the mean value indicate the minimum and maximum values observed. If occidentalis would be an upscaled version of atratus, the red (occidentalis) and blue (atratus) lines in the ratio diagrams would be parallel and shifted sideways in relation to the amount of difference in their average sizes. d Elevational and temporal distributions of localities yielding fossils of Coragyps atratus (blue) and [Coragyps] occidentalis (red). The gray hatched area indicates the estimated time of the split between atratus and occidentalis based on molecular data herein. A reconstruction of [Coragyps] occidentalis by Julian P. Hume is inserted into the map.

In overall appearance, the skeleton of occidentalis resembles that of the Black Vulture Coragyps atratus, which is common in the lowlands of the Americas, but differs in size, with occidentalis being more than 10% larger than atratus in many measurements[18]. There are also differences in body and skull proportions, and, to some degree, in skeletal morphology (Fig. 1c, Supplementary Table 3, and Note 4). In skull proportions, occidentalis differs from atratus in having relatively longer premaxillaries and nares, greater width at the frontonasal hinge, less deep bill, wider and somewhat higher brain case, relatively shorter and stouter limb bones (tarsometatarsus and tibiotarsus), and longer wings[20],[21]. Other morphological differences in the skull include, e.g., that the brain case in occidentalis being more inflated immediately anterior to the supraoccipital area than in atratus and that the supraorbital edges are more excavated posteriorly. Furthermore, the foramen magnum is relatively larger and more compressed vertically in occidentalis, the lachrymals having a small opening in the proximal anterolateral surface (instead of a large foramen in atratus), and the bill is less hooked[20]. These differences have facilitated taxonomic identification of all but a handful of the Coragyps fossils at the 58 sites from where they are reported (Supplementary Table 2).

The precise systematic relationship between atratus and occidentalis is unknown. It is often assumed that occidentalis is the direct ancestor of atratus[18],[20],[22], but the fossil record contradicts this (Supplementary Note 5). The oldest atratus fossils date to 1.9–1.6 mya (Early Pleistocene), whereas the oldest confidently identified occidentalis fossil is between 0.33 and 0.25 mya (Middle Pleistocene) (Fig. 1d, Supplementary Table 2, and Note 5). It is also clear that the small-sized atratus and the large-sized occidentalis co-existed in the Late Pleistocene in both North and South America, but seem not to have occupied the same ecological niche. In North America, nearly all certain finds of occidentalis are from the southwestern part of the continent, while all confidently identified atratus fossils are from the southeastern part (Fig. 1b).

Although this distribution may just suggest a geographic division of a single species into a western and an eastern population, there are strong indications that it instead reflects considerable taxon-specific differences in habitat preferences and adaptation. Today, atratus mostly occurs in the lowlands[23] and the fossil record reflects this well; the average elevation for twenty North American sites yielding atratus fossils is 42 m a.s.l. (no site is situated higher than 283 m a.s.l.) (Fig. 1d and Supplementary Table 2). In contrast, most occidentalis finds are from sites situated in arid mountain regions; the average elevation for the 28 occidentalis sites in North America is 1083 m a.s.l. (the highest site is 2280 m a.s.l.). A similar elevational difference is observed also in South America; the single site with occidentalis (Peru) is situated at 3819 m a.s.l., while the four Late Pleistocene sites with atratus (in Argentina, Ecuador, Peru, and Venezuela) are in the lowlands, at elevations between 25 and 115 m a.s.l. (Fig. 1d and Supplementary Table 2). Although fossils of occidentalis are found in arid mountain regions, they are sometimes also found at lowland sites (e.g., Florida, California). However, these lowland locations are mostly places providing extreme feeding opportunities, for example high densities of dead Pleistocene megaherbivores (e.g., in the tar pits in California), accumulations of migrating salmon (at the 5-Mile Rapids in Oregon), and an abundance of both terrestrial and marine carcasses (in the coastal plain in Florida).

Paleogenomic perspectives on [Coragyps] occidentalis

In order to ascertain the generic affinity of occidentalis, we extracted DNA from the Casa del Diablo specimens and used whole-genome resequencing to generate a paleogenome of occidentalis with a mapping coverage of 1.25× (see Material and Methods and Supplementary Methods 1). We also de novo sequenced and assembled a genome of the extant Black Vulture Coragyps atratus. We included the occidentalis paleogenome and the Coragyps atratus genome in a phylogenomic analysis, including ten species from the clade Accipitrimorphae (including three species of New World Vultures) rooted with two passerine birds and domestic fowl. In the phylogenomic tree, based on 892 exonic regions (Fig. 2a and Supplementary Note 3), occidentalis groups with Coragyps atratus, the only extant representative of the genus Coragyps. The phylogenetic relationships recovered agree with previously published results[24]–[28] and support the established, morphology-based, generic allocation of occidentalis.

Graph: Fig. 2 a Higher-level phylogeny based on 892 exonic alignments shows that occidentalis (red branch) is most closely related to the genus Coragyps (blue branch). b Principal component analysis of genotype likelihoods estimated from occidentalis and 52 individuals of atratus representing its entire geographic distribution. The cluster of atratus individuals from North and Central America (blue dots) shows only limited overlap with the cluster of South American individuals (green dots) along the PC2 axis. It is also clear that occidentalis (red square) is closest to the South American cluster. c Phylogenomic analysis of 42 individuals of Coragyps atratus and occidentalis (red square), rooted with the outgroup, Cathartes aura (black dot) based on 1179 intronic alignments (totaling 586 kbp). Red branches have a posterior probability >0.90. The map shows the distribution and abundance of Coragyps atratus (from https://science.ebird.org/ based on data in ref. [92]). d Inferred ancestral areas for the basal node in Fig. 2c (marked with an arrow; PA Panama, NA North America, and SA = South America).

To explore the evolution of occidentalis in relation to atratus, we implemented a principal component analysis (PCA) on genotype likelihoods of genome-wide SNPs from the occidentalis fossil and 52 individuals of atratus representing its entire geographic range. The PCA plot shows no geographic structuring along the PC1 axis, but the North and Central American atratus individuals fall separate from the South American ones along PC2 (Fig. 2b). The occidentalis sample falls with the South American individuals, suggesting it is closely related to the extant South American atratus. The population genetic structure analysis shows that K = 3 is best supported for these 53 individuals, and the admixture proportions of the fossil are most similar to atratus individuals from southwestern South America (Supplementary Fig. 2).

To further clarify the geographic origin of occidentalis, we conducted a phylogeographic analysis of 1179 nuclear introns (totaling 586 kb) obtained from 42 recent atratus individuals (collected throughout the geographical distribution of atratus) and the Casa del Diablo specimen of occidentalis, using Bayesian inference. The phylogeny was rooted with one of the samples from Panama (CA15) based on a previous analysis of a smaller number of individuals with higher coverage. The higher coverage allowed us to include exonic regions for which also Cathartes aura[29], a representative of the sister clade to Coragyps[30], could be aligned (Supplementary Fig. 3). In the population-level phylogeny, the Coragyps samples show a distinct geographic clustering (Fig. 2c). From this it can be inferred that the ancestral area of Coragyps atratus with 50% probability is in the Panama region, compared to a 25% probability each for a North American or a South American origin (Fig. 2d). If the species evolved in the Panamanian biogeographical area (that includes Central America and northern South America), it may then have spread both north to the Nearctic region via the Mexican biogeographical area, and south to the Amazonian and, subsequently, the Patagonian-Andean biogeographical areas. Such a dispersal scenario also seems more logical than what would follow from an origin of the species in either North or South America. The temporal and geographic distributions of the atratus fossils provide, however, no information on the timing of the dispersals or what routes they followed. Almost all of the oldest finds of atratus have been made in Florida (Fig. 1d), which most likely can be explained by differences in the preservation and paleontological activity across its distribution area. The relationships observed in the phylogeographic tree agree well with the assumed geographic distributions of the recognized subspecies of atratus[31]. The analyses also suggest a South American origin of occidentalis as it groups with two individuals from coastal Chile with strong support (posterior probability >0.98) (Fig. 2c). These two Chilean individuals of atratus, together with occidentalis, are in turn part of a larger and likewise strongly supported (posterior probability >0.99) clade consisting of individuals from other regions in Chile, Argentina, Paraguay, and southernmost Brazil. The three different methods used to date the split between occidentalis and the nearby atratus population congruently estimate that this happened c. 300 to 400 kya (Fig. 3a, Supplementary Table 4, and Methods 2). This is in agreement with the paleontological record, where the oldest confidently identified occidentalis fossil dates to between 0.33 and 0.25 mya (Middle Pleistocene) (Supplementary Table 2).

Graph: Fig. 3 a hPSMC plot based on the artificial F1 hybrid genomes constructed using the fossil occidentalis together with (red) an atratus individual collected in Chile (CA73) and (green) an atratus individual collected in USA (CA03). The time when the hybrid genome indicates an extreme increase in effective population size is inferred to mark the cessation of gene flow between the populations from which the two haploid genomes derive. The hPSMC curves suggest that the ancestors of occidentalis the atratus population in Chile (the one that is phylogenetically closest to occidentalis) diverged sometime before 300 kya, while the split between the ancestors of occidentalis and the atratus population in the USA seems to have occurred c. 100 kya earlier. b Box-plots of tarsometarsi diaphyseal lengths from occidentalis fossils collected in different tar pits at La Brea, California, indicate that the size of occidentalis has remained constant, despite the dramatic climatic and environmental changes at the end of the Pleistocene.

Thus, the phylogeographic analysis suggests that the large-sized occidentalis evolved from a small-sized atratus population living in southwestern South America in the Middle Pleistocene. This is remarkable not only because a population of atratus is colonizing a new geographic area, but it also represents a major shift in environmental utilization, which sparked the evolution of adaptations associated with life at high elevations. The harsh conditions in this environment put considerable evolutionary stress on all species living there, and the vulture population should have been subject to strong selective pressure. An increase in body size is a well-documented adaptation to colder environments (ref. [32] ecogeographical rule, Supplementary Note 6) and it is reasonable to assume that the larger size of occidentalis compared with atratus reflects this. The relatively stouter leg bones of occidentalis[18] may also be an adaptation to colder environments (ref.[33] ecogeographical rule). Altogether, occidentalis was an evolutionarily distinct form that most likely was adapted to the high elevations it occupied.

The current geographic distribution of atratus, along with its fossil record, suggests that it is restricted to lowlands throughout the Americas and has been so for the last 2.0–1.5 mya, or longer. Unquestionably, the colonization of the extreme High Andes and subsequent adaptation to the conditions there represents an important evolutionary step for individuals with ancestry in a lowland atratus population. After this population colonized the highlands, it presumably followed its own evolutionary trajectory. The fossil record indicates that occidentalis soon began to spread northward to reach the mountainous regions of western North America. Presumably, it dispersed along the Andes and the mountain ridges of Central America, where the lowlands were populated by atratus, and there is nothing to suggest otherwise than that atratus and occidentalis maintained their distinctly different ecological niches.

Evolutionary history of [Coragyps] occidentalis

The evolution and establishment of a viable high-elevation population deriving from Coragyps atratus, which normally is restricted to the lowlands, raises several questions. What triggered the initial colonization of the novel environments in the Andes; how could occidentalis spread as far north as the Rocky Mountains; and why did it go extinct by the end of Pleistocene after having survived for many hundreds of thousands of years? The fossil record shows that occidentalis was closely associated with the Late Pleistocene megaherbivores in North America. This is also true for the Peruvian cave Casa Del Diablo, the only known locality in South America, where occidentalis was collected together with remains of camelids, deer, sloths, ground sloths, and horses[15],[16]. These and other mammalian megaherbivores (e.g., proboscideans) were widely distributed in the Americas in the Late Pleistocene, and vultures and other scavengers thrived from these. Coragyps atratus is associated with megaherbivores at lowland sites from Florida to Peru, and it is likely that the colonization of the highlands was sparked by the occurrence of large mammals in the Andes. Once adapted to this environment, the new taxon occidentalis dispersed to other high-elevation regions housing megaherbivores. occidentalis thus became part of the Late Pleistocene biota that to a large extent went extinct at the end of Pleistocene[7]–[9]. It is estimated that c. 83% of all genera of megafauna in South America were lost[34], and occidentalis seemingly shared this fate. There is only one Holocene find of occidentalis–a single specimen identified among the c. 9000 bird bones collected at a Paleo-Indian settlement in Oregon dating to c. 8000–9000 B.P.[35],[36]. In the absence of more paleontological data from the Andean region, it is unknown whether the Late Pleistocene to Early Holocene extinction of occidentalis was synchronous throughout its distribution.

Almost all occidentalis finds are from the mountainous regions of Mexico and the western U.S., and the fossil record suggests that it must have arrived there before c. 330–250 kya (the age of the oldest North American record). As an alternative evolutionary scenario, it could be hypothesized that large-sized Coragyps populations evolved independently in North and South America. However, we find this less likely as direct comparisons of the Peruvian specimens with a large number of occidentalis from the La Brea Tar Pits and from San Josecito Cave in Mexico show complete agreement in morphology and size (Supplementary Table 3 and Note 7). Also, in those parts of the body that can be compared, the fossil have the same body proportions as the North American occidentalis and differs from those of atratus (Supplementary Fig. 4). This indicates that the large-sized Coragyps in North and South America differ from atratus in the same way and thus most likely belong to the same taxon, occidentalis. To finally resolve this issue would require a genetic analysis of the North American occidentalis but neither earlier attempts to extract DNA from such specimens (Arthur H. Harris pers. comm.), nor our own attempts (Per Ericson pers. obs.), have been successful so far. At this point, there is nothing to suggest a polyphyletic origin of occidentalis-type vultures.

Clearly, the fossil record of Coragyps vultures suggests a sudden evolution of a large-sized highland population with no evidence of intermediate forms between this and its small-sized ancestor. Even though the adaptation to high-elevation conditions must have involved many small steps, it is reasonable to assume that this was a rapid process because of the exceptionally strong selective pressure caused by cold temperature, low oxygen level, and high UV radiation in the high Andes. We propose that the evolution of occidentalis is an example of "ecological speciation" (a special case of allopatric speciation, which in this case is better termed "ecological diversification" as it makes no taxonomic assumptions). Unlike the gradual divergence between two recently isolated populations that arise predominantly through genetic drift, ecological diversification occurs when one of the isolated populations is exposed to drastically new ecological conditions[37]. Natural selection then becomes the prime driver of differentiation and the strong selection pressure causes rapid genetic and phenotypic change[38]–[40].

From a geological time perspective, ecological diversification will result in the sudden appearance of new and differently adapted species with no intermediate forms in the fossil record between them and their supposed ancestors. The lack of transitional forms, together with the observation that a species remains largely unchanged until it gets replaced by a new form, is a commonly observed pattern in the fossil record[41]–[49]. This has led to the hypothesis that evolution often proceeds in a "punctuated" fashion where new species form through bursts of rapid evolution rather than through gradual transformation[42],[50],[51]. Although it seems clear as the rapid evolution of occidentalis appears as "punctuated" in the fossil record, it is unclear if this was followed by a morphological stasis (equilibrium) after the initial adaptation, as postulated as another criterion for punctuated evolution. Signs of morphological stasis in occidentalis were investigated by comparing size variation between samples collected from different 14C-dated tar pits in La Brea, California[52]. The analysis shows that occidentalis remained constant in size from 37 to 14 kya (Fig. 3b), a period when the La Brea region experienced dramatic climatic and environmental changes. The last glacial maximum falls within this time interval causing a considerable drop in average temperature, which not least affected the vegetation. Heusser's[53] analysis of pollen data from California shows that the oak and chaparral vegetation around 59 kya changed to a pine, juniper, and cypress woodland around 24 kya. Around 20 kya, the vegetation became a juniper-ponderosa forest, with substantial snow even at such low elevations as La Brea[52]. During the glacial-interglacial transition (14 to 10 kya), the landscape returned to becoming dominated by oak and chaparral, as well as coastal sagebrush. Despite these drastic environmental changes, occidentalis remained constant in size throughout this time (Fig. 3b).

An interesting topic that remains to be investigated is whether the stasis in body size observed in the Late Pleistocene population of occidentalis in La Brea reflects dietary specialization. Changes in body size during the same time in some other scavenging birds (e.g., Vultur gryphus and Gymnogyps californianus) occur simultaneously as increased dietary plasticity, which has been suggested to have contributed to the survival of these species across the Late Pleistocene megafaunal extinction[54]. It has been shown that occidentalis in La Brea had a purely terrestrial diet[55], but no similar isotope study has yet been conducted on Late Pleistocene atratus fossils. We do know, however, that the extant Coragyps atratus exhibits great dietary plasticity, feeding on marine resources and occasionally hunting smaller prey. Differences in the dietary plasticity of atratus and occidentalis could potentially be responsible for the different fates of these two taxa by the end of the Pleistocene.

An observation made herein is that morphological change following strong natural selection in a new environment is not necessarily reflected by a general genetic differentiation. As has been shown, the genomic regions targeted by selection may be few and restricted in size, which will have little influence on measurements of the overall genetic differences between taxa[56],[57].

The paleogenomic data obtained from a 14,000-year-old fossil of [Coragyps] occidentalis collected in Andean Peru provides important new information about the evolution of this extinct New World Vulture. First, it clearly shows that the generic affinities of this fossil are with Coragyps, thus corroborating previous paleontological identifications. More surprisingly, despite that occidentalis is morphologically and morphometrically distinct from the extant Black Vulture Coragyps atratus, the paleogenomic analysis does not show it to be genetically differentiated from atratus. Instead, it is deeply nested with atratus, being genetically most closely related to the geographically close atratus populations in southwestern South America. The occidentalis-bearing paleontological localities are mostly situated in mountains, indicating that this bird was adapted to high elevations, unlike atratus, which is restricted to lowlands. Our genetic results suggest that the initial colonization of high-elevation environments took place in South America c. 300 to 400 kya. The newly established occidentalis population was exposed to extreme physiological stress in these novel environments and evolved novel adaptations through "ecological diversification". As this probably happens during a short period of time, not least in a geological time perspective, it leaves few traces in the fossil record and the evolution of a new taxon may appear as sudden ("punctuated"). We believe the evolution of occidentalis to be a good example of this, the details of which would not have been discovered without access to paleogenomic information.

Conclusion

Several Pleistocene species of predators, scavengers, parasites, etc. that had co-evolved with the numerous large herbivores that roamed the Americas at the time, were severely affected by the decline and extinction of megafauna by the end of the epoch. For example, among New World Vultures (Cathartidae), only 5 out of 11 genera survived into the Holocene. In this study, we have combined paleogenomic and paleontological information to study the evolution and extinction of one of these cathartid vultures, [Coragyps] occidentalis. We found that occidentalis evolved after a population of the extant Black Vulture Coragyps atratus, which is restricted to lowland regions, colonized the High Andes c. 300 to 400 kya. occidentalis was considerably larger and had slightly different body proportions than atratus. We argue that the evolution of this now extinct taxon constitutes an example of punctuated evolution resulting from strong natural selection in the extreme, high-altitude environment.

Materials and methods

Extraction of ancient and historical DNA, library preparation, and sequencing

Laboratory procedures for the ancient DNA (aDNA) Casa del Diablo vulture were carried out in a state-of-the-art facility for aDNA, while the laboratory work for the historical (hDNA) samples from museum study skin were performed independently in another laboratory dedicated to hDNA samples (for a more detailed description of the laboratory procedures for the aDNA work with the Casa del Diablo vulture see Supplementary Methods 1). We obtained ~50 mg bone powder of the Casa del Diablo vulture from the femur (A215) using a Dremel high-speed multi-tool and DNA extraction was done according to the protocol in ref. [58].

Courtesy of the American Museum of Natural History, New York, and the National Museum of Natural History, Smithsonian Institution, Washington D.C., we obtained toe pads of 52 museum study skins of Coragyps atratus (Supplementary Table 5). DNA was extracted using the Qiagen QIAamp DNA Mini Kit following the protocol described in ref. [59]. For the double-stranded Illumina library preparation, we followed the protocol of ref. [60] that consists of three steps, blunt-end repair, adapter ligation, and adapter fill-in. For the Casa del Diablo vulture, an additional step of USER enzyme treatment was added before the blunt-end repair (DNA was incubated with 6U USER enzyme for 3 h at 37 °C) to excise uracil residues resulting from post-mortem damage[61],[62]. Two size selection/cleaning steps were performed in between the three library preparation steps. Due to its more degraded nature, MinElute spin columns (Qiagen, Hilden, Germany) was used for the Casa del Diablo vulture, while AMPure magnetic beads (Beckman Coulter™) were used for the toepad samples. An analysis of the damage pattern with mapDamage[63] shows that this procedure efficiently reduced the DNA damage (Supplementary Fig. 5).

Before sequencing, all libraries were amplified and indexed. To control for index hopping, we used dual indexing where both the P5 and the P7 adapters are indexed with unique barcodes[64]. As ligated fragments are randomly amplified in the index-PCR step, a higher number of PCR cycles will increase the clonality (that certain fragments are overrepresented in the final indexed library). To circumvent this problem, we reduced the number of cycles as much as possible (8–12 cycles) and ran multiple independent PCRs (eight for the Casa del Diablo vulture and three for the foot pad samples).

Finally, the Casa del Diablo vulture samples were sequenced on one lane on the Illumina NovaSeq (S4) platform, while the foot pad samples were pooled and sequenced at equal molarity on two lanes on the Illumina NovaSeq (S4) platform.

The Illumina sequencing reads for both the fossil bone and the museum study skins were processed using a custom-designed workflow (github.com/mozesblom) to remove adapter contamination, low-quality bases, and low-complexity reads. Overlapping read pairs were merged using PEAR[65] and PCR duplicates were removed using SuperDeduper[66]. Trimming and adapter removal were done with Trimmomatic v0.32[67] (default settings) and the overall quality and length distribution of sequence reads were inspected with FastQC v0.11.5 (Andrews, http://bioinformatics.babraham.ac.uk/projects/fastqc/) before and after the cleaning. Like for the Casa del Diablo fossil, we treated the museum skin samples with the USER enzyme (as described above) to excise uracil residues resulting from post-mortem damage[61],[62].

DNA extraction, whole-genome sequencing, and de novo assembly of extant Coragyps atratus

We assembled a new genome of an adult male Coragyps atratus collected at Rio Negro (20ο10′S; 58ο10′W), Departemento Alto Paraguay, Paraguay, on 15 September 1994 (voucher NRM 947124)[68]. DNA was extracted from EtOH preserved tissue using the KingFisher duo extraction robot and the KingFisher™ Cell and Tissue DNA Kit according to the manufacturer's instructions. Sequencing libraries were generated by Science for Life Laboratory (National Genomics Institute, Stockholm) with the Chromium controller instrument and reagents from 10X Genomics, followed by sequencing on an Illumina HiSeqX sequencer. The de novo assembly and quality control were performed using the nf-core/neutronstar analysis pipeline[69]. The final genome assembly of 130 Gb of high-quality sequence data resulted in 46,819 scaffolds covering 1.2 Gb with a scaffold N50 of 88 kb and a contig N50 of 55 kb. Initial investigations into the gene content of the assembled genome using BUSCOv3 and the Eukaryota BUSCO dataset revealed 75% complete BUSCOs.

Initial reference mapping, extraction of homologous sequences, and phylogenomic reconstructio...

We used BWA mem v0.7.12[70] to map the trimmed occidentalis and atratus reads against the Gymnogyps californianus genome[71]. We obtained a mapping coverage of 1.25× for occidentalis and a mean coverage of 3.3× (range 1.0–8.4×) for the 41 atratus individuals sequenced from museum skins. To obtain a large number of sequence homologs of nuclear exonic and intronic loci across the whole genome, we performed searches using profile hidden Markov models (HMM)[72]. Profile HMMs use information from variation in multiple sequence alignments to seek similarities in databases or, as here, genome assemblies[73]. The HMM profiles were based on the alignments of exonic and intronic loci of Cathartes aura, Haliaeetus albicilla and Haliaeetus leucocephalus published by ref. [26]. For each HMM query and taxon, the location on the genome of the most significant hit was identified, and the sequence was parsed out using the genomic coordinates. These steps were carried out using a custom-designed BirdScanner pipeline[74] (github.com/Naturhistoriska/birdscanner). We used the BirdScanner pipeline also to obtain exonic loci to reconstruct the higher-level phylogenetic relationships of Coragyps, as well as to obtain both exonic and intronic loci for those atratus individuals with the highest sequencing coverage that were used to root the population-level phylogeny (see below). The extracted sequences were then aligned with the other individuals in separate files. Poorly aligned sequences were identified based on a calculated distance matrix using OD-Seq (github.com/PeterJehl/OD-Seq) and excluded from further analyses. We also checked the alignments manually to identify those that included non-homologous sequences. We found that no alignments with a 5% or lower proportion of phylogenetically informative sites included non-homologous sequences, and we used this as a conservative cut-off value for deleting potentially problematic alignments from further analyses. Gaps were treated as missing data in all analyses. Phylogenetic relationships were estimated using Bayesian inference in BEAST2 v2.4.8[75], after first having identified the best-fit model of nucleotide substitutions with IQ-TREE (-m TEST)[76]. In the analyses, we ran the chains for 100 million generations, with trees sampled every 1000 generations, with the first 10% (the burn-in phase) excluded from the analyses.

To investigate the molecular support for referring the occidentalis fossil to the genus Coragyps, we used 892 exons (a total of 506 kb, Supplementary Table 6) of ten species sampled from the clade Accipitrimorphae (sensu ref. [26]) to which the families Accipitridae, Pandionidae, Sagittaridae and Cathartidae belong, and three outgroups from the families Phasianidae, Ptilonorhynchidae, and Corvidae. Genomes of the following taxa were downloaded from GenBank (accession numbers in parentheses): Gallus gallus (GCA000002315), Cathartes aura (GCA000699945), Gyps himalayensis (GWHBAOP00000000), Gypaetus barbatus (GWHBAOQ00000000), Buteo japonicus (GCA010312235), Haliaeetus albicilla (GCA000691405), Sagittarus sepentarius (GCA013399415), Pandion haliaetus (GCA013401275), Gymnogyps californianus (GCA018139145), Amblyornis subalaris (GCA018881555), and Corvus cornix (GCA000738735). In addition, we included the de novo genome of Coragyps atratus from the present analysis and the genome of occidentalis sequenced here. We used BEAST2 v2.4.8[75] with a general time-reversible (GTR) model for nucleotide substitutions with 5 gamma rate categories (empirical base frequencies and free rates), a relaxed log-normal clock, and a birth–death tree prior. The MCMC chain was set to 50 million generations sampling every 1000 generations and we used Tracer v.1.5[77] to assure that an adequate (~200) effective sample sizes (ESS) had been reached for all parameters indicating proper MCMC mixing and convergence.

Population-level relationships within Coragyps were estimated from a total of 1179 intronic loci (Supplementary Table 6). Not all introns could be obtained from all individuals, and the alignments thus include, on average, 28 individuals. The concatenated alignment includes a total of 479 kb. The BEAST2 analysis was run with a general time-reversible (GTR) model for nucleotide substitutions with 5 gamma rate categories (empirical base frequencies and free rates), a relaxed log-normal clock, and a birth–death tree prior. We run the MCMC chain and evaluated the results in the same way as described above. In the population-level phylogeny, we used CA15 from Panama as an outgroup, based on the result of an analysis specifically aimed at finding the root of the Coragyps atratus tree (Supplementary Fig. 3). In that analysis, we used alignments of 518 exons (357 kb) and 3633 introns (610 kb) (Supplementary Table 6) obtained for the twelve individuals with high mapping coverage representing the geographic range of Coragyps atratus. The higher sequencing coverage in these individuals decreased the amount of missing data and allowed us to align them to homologous sequences obtained for an individual of Cathartes aura, a representative of the sister genus of Coragyps[30]. Also this dataset was analyzed using BEAST2 with a general time-reversible (GTR) model for nucleotide substitutions with 5 gamma rate categories (empirical base frequencies and free rates), a relaxed log-normal clock, and a birth–death tree prior. The run of the MCMC chain and the evaluation of the results were done as described above.

Genotype likelihood estimates

The low sequencing coverage herein makes estimates of genotype likelihoods that incorporate information regarding alignment or assembly uncertainty and base-calling uncertainty a better methodological choice than calling genotypes[78]. We estimated genotype likelihoods (applying the GATK genotype likelihood model) for occidentalis and 52 individuals of atratus using ANGSD v0.933[79],[80], with the following parameters: "-GL 2 -doGlf 2 -doMajorMinor 1 -doMaf 1 -doCounts 1 -minMapQ 15 -minQ 5 -setMinDepthInd 10 -setMaxDepthInd 100 -skipTriallelic 1 -uniqueOnly 1 -only_proper_pairs 0 -SNP_pval 1e-6 -minMaf 0.10 -minInd 10". We used the genotype likelihoods to run NGSadmix[81] and PCAngsd v0.985[82]. In NGSadmix we let K range from 2 to 8, ran 30 iterations for each K and determined the "best" K using a customized R script (https://baylab.github.io/MarineGenomics/week-9-population-structure-using-ngsadmix.html) that utilizes the Cluster Markov Packager Across K (CLUMPAK, http://clumpak.tau.ac.il/index.html). We also used PCAngsd to generate a covariance matrix from the genotype likelihoods estimated in ANGSD. The eigen() function in R (R: The R Project for Statistical Computing) was used for the principal component analysis (PCA) and we plotted the samples on the first two principal components.

Inferring the divergence time between occidentalis and atratus

We estimated the timing of the split between occidentalis and atratus using three different methods. First, we translated the genetic distance observed between occidentalis and its nearest atratus relative (CA73 collected in Chile) in cytochrome b into years by using a mean average rate of divergence between two taxa of 2.1% per million years[83]. We did this also for the distance observed between occidentalis and CA73 for the concatenation of nuclear introns (485 kb) using a mean average rate of divergence between two taxa of 0.128% per million years[84]. Our third method to date the split between occidentalis and atratus was to use hPSMC[85] to estimate the time for the end of gene flow between these populations. We created an artificial F1 hybrid genome from pseudo-haploid sequences of occidentalis and atratus. The method uses the fact that the genomes of the artificial F1 hybrid cannot coalesce more recently than the time of speciation of the two parental populations. This allows hPSMC thus to infer the time since divergence as a measure of cessation of gene flow, and of the effective population size prior to divergence[85],[86]. Haploid consensus genomes were reconstructed for the five longest scaffolds from the bam files of occidentalis and the phylogenetically closest atratus individual (CA73) using samtools mpileup[87] and pu2fa (https://github.com/Paleogenomics/Chrom-Compare). We applied a minimum base quality and mapping quality of 30 and a minimum depth of 5. The sequences were haploidized by randomly picking one base for each position using pu2fa (https://github.com/Paleogenomics/Chrom-Compare). The two haploid fasta files were then combined into a diploid, "F1 hybrid" sequence using the hPSMC tool psmcfa_from_2_fastas.py. After this we ran the psmcfa output through PSMC[88] with the parameters (-p) "4 + 30*2 + 4 + 6 + 10"[89], number of iterations = 30, maximum 2N0 coalescent time = 15, initial theta/rho ratio = 5. We used psmc_plot.pl to plot the result, assuming a mutation rate of 1.4 × 10−9 per base pair per generation[29] and a generation time of 14.2 years[90].

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Acknowledgements

The American Museum of Natural History, New York, and the National Museum of Natural History, Smithsonian Institution, Washington D.C., kindly provided toepad samples of study skins in their collections. We particularly want to thank Paul Sweet and James Dean for arranging these loans. We are grateful for the help and insightful discussions with Virginia Butler, Ken E. Campbell, Fred W. Croxen III, Love Dalén, Pamela Endzweig, Arthur H. Harris, Fritz Hertel, Amadeo Rea, David W. Steadman, and late Storrs L. Olson. Donald R. Prothero kindly provided information about occidentalis collected in tar pits at La Brea. The manuscript was improved by suggestions made by Kari Alyssa Prassack and an anonymous reviewer. We want to thank Huishang She for helping with designing several figures. The map in fig. 2c uses data from the eBird Status and Trends Project at the Cornell Lab of Ornithology, eBird.org. We are grateful for this and acknowledge that any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the Cornell Lab of Ornithology. The authors acknowledge support from the National Genomics Infrastructure in Stockholm funded by Science for Life Laboratory, the Knut and Alice Wallenberg Foundation and the Swedish Research Council, and SNIC/Uppsala Multidisciplinary Center for Advanced Computational Science for assistance with massively parallel sequencing and access to the UPPMAX computational infrastructure. This research was funded by the Swedish Research Council (grant 621-2017-3693 to P.G.P.E.) and the National Natural Science Foundation of China (grant NSFC32020103005 to Y.Q.).

Author contributions

P.G.P.E. and Y.Q. conceptualized the study and acquired funding. M.I., D.Z., P.L., J.-L.T., and A.G. conducted the DNA extractions. M.I. and P.L. prepared the sequencing libraries. L.W., S.D.E., and J.P.H. contributed resources. P.G.P.E. and Y.Q. conducted the bioinformatics and statistical analyses. P.G.P.E., Y.Q., and J.P.H. visualized the results. P.G.P.E. and Y.Q. wrote the manuscript. All authors contributed to the draft and approved the final version of the manuscript.

Peer review

Peer review information

Communications Biology thanks Kieren Mitchell and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: Luke R. Grinham. Peer reviewer reports are available.

Data availability

Raw sequence data are available for download from the NCBI Sequence Read Archive (SRA, BioProject PRJNA833756). Phylogenomic data and genotype likelihoods are available from the Dryad Digital Repository (https://doi.org/10.5061/dryad.qz612jmjm)[91].

Competing interests

The authors declare no competing interests.

Supplementary information

Graph: Peer Review File

Graph: Supplementary Information

Graph: Reporting Summary

Supplementary information

The online version contains supplementary material available at https://doi.org/10.1038/s42003-022-03811-0.

Publisher's note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References 1 Shapiro B, Hofreiter M. A paleogenomic perspective on evolution and gene function: new insights from ancient DNA. Science. 2014; 343: 1236573. 1:STN:280:DC%2BC2czovFKgtQ%3D%3D. 24458647. 10.1126/science.1236573 2 Leonardi M. Ancient and modern genomes unravel the evolutionary history of the rhinoceros family. Cell. 2021; 184: 4874-4885. 10.1016/j.cell.2021.07.032. 1:CAS:528:DC%2BB3MXhvVKmsr%2FN 3 Brunson K, Reich D. The promise of paleogenomics beyond our own species. Trends Genet. 2019; 35: 319-329. 1:CAS:528:DC%2BC1MXlvVWnsro%3D. 30954285. 10.1016/j.tig.2019.02.006 4 von Seth, J, Niemann, J. & Dalén, L. Genomics of extinction. in Paleogenomics (eds Lindqvist, C. & Rajora, P.) 393–418 (Springer, Cham, 2019). 5 Liu. Ancient and modern genomes unravel the evolutionary history of the rhinoceros family. Cell. 2021; 184: 4874-4885. 1:CAS:528:DC%2BB3MXhvVKmsr%2FN. 34433011. 10.1016/j.cell.2021.07.032 6 van der Valk T. Million-year-old DNA sheds light on the genomic history of mammoths. Nature. 2021; 591: 265-269. 33597750. 7116897. 10.1038/s41586-021-03224-9. 1:CAS:528:DC%2BB3MXktlGhuro%3D 7 Martin, P. S. & Klein, R. G. Quaternary Extinctions: A Prehistoric Revolution (Univ. of Arizona Press, 1989). 8 Koch PL, Barnosky AD. Late quaternary extinctions: state of the debate. Annu. Rev. Ecol. Evol. Syst. 2006; 37: 215-250. 10.1146/annurev.ecolsys.34.011802.132415 9 Fiedel, S. Sudden deaths: the chronology of terminal Pleistocene megafaunal extinction. in American Megafaunal Extinctions at the End of the Pleistocene (ed. Haynes, G.) (Springer, 2009). Smith FA. Unraveling the consequences of the terminal Pleistocene megafauna extinction on mammal community assembly. Ecography. 2016; 39: 223-239. 10.1111/ecog.01779 Galetti M. Ecological and evolutionary legacy of megafauna extinctions. Biol. Rev. Camb. Philos. Soc. 2018; 93: 845-862. 28990321. 10.1111/brv.12374 Tyrberg T. The Late Pleistocene continental avian extinction: an evaluation of the fossil evidence. Oryctos. 2008; 7: 249-269 Van Valkenburgh B, Hayward MW, Ripple WJ, Meloro C, Roth VL. The impact of large terrestrial carnivores on Pleistocene ecosystems. Proc. Natl Acad. Sci. USA. 2015; 113: 862-867. 26504224. 4743832. 10.1073/pnas.1502554112. 1:CAS:528:DC%2BC2MXhslWksrnF Rich, P. V, Wilbur, S. & Jackson, J. in Vulture Biology and Management (eds. Wilburand, S. R. & Jackson, J. A.) (California Univ. Press, 1983). Nordenskiöld E. Ein neuer fundort für Säugetierfossilien in Peru. Ark. Zool. 1908; 4: 13-21 Villavicencio NA, Werdelin L. The Casa del Diablo cave (Puno, Peru) and the late Pleistocene demise of megafauna in the Andean Altiplano. Quat. Sci. Rev. 2018; 195: 21-31. 10.1016/j.quascirev.2018.07.013 Brodkorb P. Catalogue of fossil birds: part 2 (Anseriformes through Galliformes). Bull. Fla. State Mus. Biol. Sci. 1964; 8: 195-335 Howard H. Limb measurements of the extinct vulture. Coragyps occidentalis. Pap. Archaeological Soc. N. Mex. 1968; 1: 115-127 Harris AH. Quaternary vertebrates of New Mexico. New Mexico Museum of Natural History. Bulletin. 1993; 2: 179-197 Fisher HL. The skulls of the cathartid vultures. Condor. 1944; 46: 272-296. 10.2307/1364013 Howard H. Bird remains from a prehistoric cave deposit in Grant County, New Mexico. Condor. 1962; 64: 241-242 Steadman DW, Arroyo-Cabrales L, Johnson E. & Fabiola Guzman, A. New Information on the Late Pleistocene birds from San Josecito Cave, Nuevo León, Mexico. Condor. 1994; 96: 577-589. 10.2307/1369460 Global Raptor Information Network. Species account: black vulture Coragyps atratus. http://www.globalraptors.org (accessed 18 Feb. 2021). Ericson PGP. Diversification of Neoaves: integration of molecular sequence data and fossils. Biol. Lett. 2006; 2: 543-547. 17148284. 1834003. 10.1098/rsbl.2006.0523 Hackett SJ. A phylogenomic study of birds reveals their evolutionary history. Science. 2008; 320: 1763-1768. 1:CAS:528:DC%2BD1cXnsF2qsr4%3D. 18583609. 10.1126/science.1157704 Jarvis ED. Whole-genome analyses resolve early branches in the tree of life of modern birds. Science. 2014; 346: 1320-1331. 1:CAS:528:DC%2BC2cXitVCgs7%2FK. 25504713. 4405904. 10.1126/science.1253451 Prum RO. A comprehensive phylogeny of birds (Aves) using targeted next-generation DNA sequencing. Nature. 2015; 526: 569-573. 1:CAS:528:DC%2BC2MXhslWitbzO. 26444237. 10.1038/nature15697 Kuhl H. An unbiased molecular approach using 3'UTRs resolves the avian family-level tree of life. Mol. Biol. Evol. 2021; 38: 108-127. 1:CAS:528:DC%2BB3MXhvFymsb%2FO. 32781465. 10.1093/molbev/msaa191 Zhang G. Comparative genomics reveals insights into avian genome evolution and adaptation. Science. 2014; 346: 1311-1320. 1:CAS:528:DC%2BC2cXitVCgs77P. 25504712. 4390078. 10.1126/science.1251385 Johnson J, Brown JW, Fuchs J, Mindell DP. Multi-locus phylogenetic inference among New World Vultures (Aves: Cathartidae). Mol. Phylogen. Evol. 2016; 105: 193-199. 10.1016/j.ympev.2016.08.025 Monsalvo JAB, Silva MAA, Heming NM, Marini MÂ. Geographical variation and current knowledge on breeding traits of vultures in the neotropics. Ornithol. Res. 2020; 28: 13-37. 10.1007/s43388-020-00003-4 Bergmann C. Über die Verhältnisse der Wärmeoekonomie der Thiere zu ihrer Grösse. Göttinger Stud. 1847; 1: 595-708 Allen JA. The influence of physical conditions in the genesis of species. Radic. Rev. 1877; 1: 108-140 Brook, B. W. & Barnosky, A. D. Quaternary extinctions and their link to climate change. in Saving a Million Species (ed. Hannah, L.) (Island Press, 2012). Miller L. Bird remains from an Oregon Indian midden. Condor. 1957; 59: 59-63. 10.2307/1364617 Hansel-Kuehn, V. The Dalles Roadcut (5-Mile Rapids) avifauna: Evidence for a Cultural Origin MSc. thesis, (Washington State Univ. (2003). Schluter D. Evidence for ecological speciation and its alternative. Science. 2009; 323: 737-741. 1:CAS:528:DC%2BD1MXhtlert78%3D. 19197053. 10.1126/science.1160006 Rundle HD, Nosil P. Ecological speciation. Ecol. Lett. 2005; 8: 336-352. 10.1111/j.1461-0248.2004.00715.x Nosil P, Harmon LJ, Seehausen O. Ecological explanations for (incomplete) speciation. Trends Ecol. Evol. 2009; 24: 145-156. 19185951. 10.1016/j.tree.2008.10.011 Nosil, P. Ecological Speciation (Oxford Univ. Press, 2012). Simpson, G. G. Tempo and Mode in Evolution (Columbia Univ. Press, 1944). Eldredge, N. & Gould, S. J. Punctuated equilibria: An alternative to phyletic gradualism. in Modelsin Paleobiology (ed. Schopf, T. J. M.) (Freeman, 1972). Hoffman, A. Arguments on evolution (Oxford Univ. Press, 1998). Jackson JBC, Cheetham AH. Tempo and mode of speciation in the sea. Trends Ecol. Evol. 1999; 14: 72-77. 1:STN:280:DC%2BC2sbgsVehtQ%3D%3D. 10234259. 10.1016/S0169-5347(98)01504-3 Benton MJ, Pearson PN. Speciation in the fossil record. Trends Ecol. Evol. 2001; 16: 405-411. 11403874. 10.1016/S0169-5347(01)02149-8 Eldredge N. The dynamics of evolutionary stasis. Paleobiology. 2005; 31: 133-145. 10.1666/0094-8373(2005)031[0133:TDOES]2.0.CO;2 Hunt G. The relative importance of directional change, random walks, and stasis in the evolution of fossil lineages. Proc. Natl Acad. Sci. USA. 2007; 104: 18404-18408. 1:CAS:528:DC%2BD2sXhtl2ku73E. 18003931. 2141789. 10.1073/pnas.0704088104 Estes S, Arnold SJ. Resolving the paradox of stasis: models with stabilizing selection explain evolutionary divergence on all timescales. Am. Nat. 2007; 169: 227-244. 17211806. 10.1086/510633 Uyeda JC, Hansen TF, Arnold SJ, Pienaar J. The million-year wait for macroevolutionary bursts. Proc. Natl Acad. Sci. USA. 2011; 108: 15908-15913. 1:CAS:528:DC%2BC3MXht1emur7P. 21873251. 3179053. 10.1073/pnas.1014503108 Eldredge, N. The Pattern of Evolution (W.H. Freeman, 1999). Gould, S. J. The Structure of Evolutionary Theory (Harvard Univ. Press, 2002). Long, K. L. Evolutionary patterns of Late Quaternary birds from the La Brea Tar Pits during the last glacial-interglacial cycle. MSc. thesis, California State Polytechnic Univ. (2018). Heusser L. Direct correlation of millennial‐scale changes in western North American vegetation and climate with changes in the California Current System over the past ∼60 kyr. Paleoceanography. 1998; 13: 252-262. 10.1029/98PA00670 Perrig PL, Fountain ED, Lambertucci SA, Pauli JN. Demography of avian scavengers after Pleistocene megafaunal extinction. Sci. Rep. 2019; 9: 1-9. 1:CAS:528:DC%2BC1MXhtlekurvL. 10.1038/s41598-019-45769-w Fox-Dobbs K, Stidham TA, Bowen GJ, Emslie SD, Koch PL. Dietary controls on extinction versus survival among avian megafauna in the late Pleistocene. Geology. 2006; 34: 685-688. 10.1130/G22571.1 Poelstra JW. The genomic landscape underlying phenotypic integrity in the face of gene flow in crows. Science. 2014; 344: 1410-1414. 1:CAS:528:DC%2BC2cXpslygsLk%3D. 24948738. 10.1126/science.1253226 Lamichhaney S. Evolution of Darwin's finches and their beaks revealed by genome sequencing. Nature. 2015; 518: 371-375. 1:CAS:528:DC%2BC2MXjtVSktbw%3D. 25686609. 10.1038/nature14181 Dabney J. Complete mitochondrial genome sequence of a Middle Pleistocene cave bear reconstructed from ultrashort DNA fragments. Proc. Natl Acad. Sci. USA. 2013; 110: 15758-15763. 1:CAS:528:DC%2BC3sXhs1WlurnO. 24019490. 3785785. 10.1073/pnas.1314445110 Irestedt M, Ohlson JI, Zuccon D, Källersjö M, Ericson PGP. Nuclear DNA from old collections of avian study skins reveals the evolutionary history of the Old World suboscines (Aves, Passeriformes). Zoologica Scr. 2006; 35: 567-580. 10.1111/j.1463-6409.2006.00249.x Meyer, M. & Kircher, M. Illumina sequencing library preparation for highly multiplexed target capture and sequencing. Cold Spring Harb. Protoc. 5, pdb.prot5448 (2010). Briggs AW. Removal of deaminated cytosines and detection of in vivo methylation in ancient DNA. Nucleic Acids Res. 2010; 38: e87. 20028723. 10.1093/nar/gkp1163. 1:CAS:528:DC%2BC3cXkt1yjsrg%3D Kircher M, Sawyer S, Meyer M. Double indexing overcomes inaccuracies in multiplex sequencing on the Illumina platform. Nucleic Acids Res. 2012; 40: e3. 1:CAS:528:DC%2BC38Xit1GmtQ%3D%3D. 22021376. 10.1093/nar/gkr771 Ginolhac A, Rasmussen M, Gilbert MT, Willerslev E, Orlando L. mapDamage: testing for damage patterns in ancient DNA sequences. Bioinformatics. 2011; 27: 2153-2155. 1:CAS:528:DC%2BC3MXptFCru7s%3D. 21659319. 10.1093/bioinformatics/btr347 van der Valk T, Vezzi F, Ormestad L, Dalén L, Guschanski K. Index hopping on the Illumina HiseqX platform and its consequences for ancient DNA studies. Mol. Ecol. Resour. 2020; 20: 1171-1181. 30848092. 10.1111/1755-0998.13009. 1:CAS:528:DC%2BB3cXhvFCrsbnF Zhang JJ, Kobert K, Flouri T, Stamatakis A. PEAR: a fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics. 2014; 30: 614-620. 1:CAS:528:DC%2BC2cXjtlOktb8%3D. 24142950. 10.1093/bioinformatics/btt593 Petersen, K. R, Street, D. A, Gerritsen, A. T, Hunter, S. S. & Settles, M. L. Super deduper, fast PCR duplicate detection in fastq files. in Proc. 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics 491–492 (ACM, 2015). Bolger AM, Lohse M, Usadel B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics. 2014; 30: 2114-2120. 1:CAS:528:DC%2BC2cXht1Sqt7nP. 24695404. 4103590. 10.1093/bioinformatics/btu170 Ericson PGP, Sosa W. Birds collected and captured during the PROVEPA ornithological fieldwork in Paraguay 1993-1999. Rep. Swed. Mus. Nat. Hist. 2020; 2020: 1 Ewels PA. The nf-core framework for community-curated bioinformatics pipelines. Nat. Biotechnol. 2020; 38: 276-278. 1:CAS:528:DC%2BB3cXjtFelsbo%3D. 32055031. 10.1038/s41587-020-0439-x Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009; 25: 1754-1760. 1:CAS:528:DC%2BD1MXot1Cjtbo%3D. 19451168. 2705234. 10.1093/bioinformatics/btp324 Robinson JA. Genome-wide diversity in the California condor tracks its prehistoric abundance and decline. Curr. Biol. 2021; 31: 2939-2946. 1:CAS:528:DC%2BB3MXhtFSgtbvI. 33989525. 10.1016/j.cub.2021.04.035 Eddy SR. Accelerated profile HMM searches. PLoS Comput. Biol. 2011; 7: e1002195. 1:CAS:528:DC%2BC3MXhsVCku7rL. 22039361. 3197634. 10.1371/journal.pcbi.1002195 Eddy SR. Profile hidden Markov models. Bioinforma. Rev. 1998; 14: 755-763. 1:CAS:528:DyaK1MXktlCmtQ%3D%3D. 10.1093/bioinformatics/14.9.755 Ericson PGP. Parallel evolution of bower-building behavior in two groups of bowerbirds suggested by phylogenomics. Syst. Biol. 2020; 69: 820-829. 32415976. 7440736. 10.1093/sysbio/syaa040 Bouckaert R. BEAST 2: a software platform for Bayesian evolutionary analysis. PLoS Comput. Biol. 2014; 10: e1003537. 24722319. 3985171. 10.1371/journal.pcbi.1003537. 1:CAS:528:DC%2BC2cXhsVGls77I Nguyen L-T, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol. Biol. Evol. 2015; 32: 268-274. 1:CAS:528:DC%2BC2MXivFGltrs%3D. 25371430. 10.1093/molbev/msu300 Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. Posterior summarization in Bayesian phylogenetics using Tracer 1.7. Syst. Biol. 2018; 67: 901-904. 1:CAS:528:DC%2BC1MXhslakt7zK. 29718447. 6101584. 10.1093/sysbio/syy032 Nielsen R, Paul JS, Albrechtsen A, Song YS. Genotype and SNP calling from next-generation sequencing data. Nat. Rev. Genet. 2011; 12: 443-451. 1:CAS:528:DC%2BC3MXmtFymsL4%3D. 21587300. 3593722. 10.1038/nrg2986 Korneliussen TS, Albrechtsen A, Nielsen R. ANGSD: analysis of next generation sequencing data. BMC Bioinforma. 2014; 15. 10.1186/s12859-014-0356-4 Nielsen R, Korneliussen T, Albrechtsen A, Li Y, Wang J. SNP calling, genotype calling & sample allele frequency estimation from new-generation sequencing data. PLoS ONE. 2012; 7: e37558. 1:CAS:528:DC%2BC38XhtFWlsrrO. 22911679. 3404070. 10.1371/journal.pone.0037558 Skotte L, Korneliussen TS. Albrechtsen, A. Estimating individual admixture proportions from next generation sequencing data. Genetics. 2013; 195: 693-702. 1:CAS:528:DC%2BC2cXhtlGjtLs%3D. 24026093. 3813857. 10.1534/genetics.113.154138 Meisner J, Albrechtsen A. Inferring population structure and admixture proportions in low-depth NGS Data. Genetics. 2018; 210: 719-731. 30131346. 6216594. 10.1534/genetics.118.301336 Lerner HR, Meyer M, James HF, Hofreiter M, Fleischer RC. Multilocus resolution of phylogeny and timescale in the extant adaptive radiation of Hawaiian honeycreepers. Curr. Biol. 2011; 21: 1838-1844. 1:CAS:528:DC%2BC3MXhsVKmurnN. 22018543. 10.1016/j.cub.2011.09.039 Ellegren H. Molecular evolutionary genomics of birds. Cytogenet. Genome Res. 2007; 117: 120-130. 1:CAS:528:DC%2BD2sXosFKisLc%3D. 17675852. 10.1159/000103172 Cahill JA, Soares AER, Green RE, Shapiro B. Inferring species divergence times using pairwise sequential Markovian coalescent modelling and low-coverage genomic data. Philos. Trans. R. Soc. B. 2016; 371: 20150138. 10.1098/rstb.2015.0138 Vilaça ST. Divergence and hybridization in sea turtles: Inferences from genome data show evidence of ancient gene flow between species. Mol. Ecol. 2021; 30: 6178-6192. 34390061. 9292604. 10.1111/mec.16113 Li H. The sequence alignment/map format and SAMtools. Bioinformatics. 2009; 25: 2078-2079. 19505943. 2723002. 10.1093/bioinformatics/btp352. 1:CAS:528:DC%2BD1MXpslertr8%3D Li H, Durbin R. Inference of human population history from individual whole-genome sequences. Nature. 2011; 475: 493-496. 1:CAS:528:DC%2BC3MXoslymt7s%3D. 21753753. 3154645. 10.1038/nature10231 Nadachowska-Brzyska K, Li C, Smeds L, Zhang G, Ellegren H. Temporal dynamics of avian populations during Pleistocene revealed by whole-genome sequences. Curr. Biol. 2015; 25: 1375-1380. 1:CAS:528:DC%2BC2MXms1yntbc%3D. 25891404. 4446789. 10.1016/j.cub.2015.03.047 Bird JP. Generation lengths of the world's birds and their implications for extinction risk. Conserv. Biol. 2020; 34: 1252-1261. 32058610. 10.1111/cobi.13486 Ericson, P. G. P. et al. Genomic and morphometric data used in a demographic study of Coragyps vultures. https://doi.org/10.5061/dryad.qz612jmjm (2022). Fink, D. et al. eBird Status and Trends, Data Version: 2020; Released: 2021. https://doi.org/10.2173/ebirdst.2020 (Cornell Lab of Ornithology, Ithaca, New York, 2021).

By Per G. P. Ericson; Martin Irestedt; Dario Zuccon; Petter Larsson; Jean-Luc Tison; Steven D. Emslie; Anders Götherström; Julian P. Hume; Lars Werdelin and Yanhua Qu

Reported by Author; Author; Author; Author; Author; Author; Author; Author; Author; Author

Titel:
A 14,000-year-old genome sheds light on the evolution and extinction of a Pleistocene vulture.
Autor/in / Beteiligte Person: Ericson, PGP ; Irestedt, M ; Zuccon, D ; Larsson, P ; Tison, JL ; Emslie, SD ; Götherström, A ; Hume, JP ; Werdelin, L ; Qu, Y
Link:
Zeitschrift: Communications biology, Jg. 5 (2022-08-23), Heft 1, S. 857
Veröffentlichung: London, United Kingdom : Nature Publishing Group UK, [2018]-, 2022
Medientyp: academicJournal
ISSN: 2399-3642 (electronic)
DOI: 10.1038/s42003-022-03811-0
Schlagwort:
  • Animals
  • South America
  • Birds anatomy & histology
  • Fossils
Sonstiges:
  • Nachgewiesen in: MEDLINE
  • Sprachen: English
  • Publication Type: Journal Article; Research Support, Non-U.S. Gov't
  • Language: English
  • [Commun Biol] 2022 Aug 23; Vol. 5 (1), pp. 857. <i>Date of Electronic Publication: </i>2022 Aug 23.
  • MeSH Terms: Birds* / anatomy & histology ; Fossils* ; Animals ; South America
  • References: Syst Biol. 2018 Sep 1;67(5):901-904. (PMID: 29718447) ; Nature. 2021 Mar;591(7849):265-269. (PMID: 33597750) ; Bioinformatics. 2014 Aug 1;30(15):2114-20. (PMID: 24695404) ; Science. 2014 Dec 12;346(6215):1311-20. (PMID: 25504712) ; Philos Trans R Soc Lond B Biol Sci. 2016 Jul 19;371(1699):. (PMID: 27325835) ; Bioinformatics. 2014 Mar 1;30(5):614-20. (PMID: 24142950) ; Proc Natl Acad Sci U S A. 2016 Jan 26;113(4):862-7. (PMID: 26504224) ; Conserv Biol. 2020 Oct;34(5):1252-1261. (PMID: 32058610) ; Bioinformatics. 2009 Aug 15;25(16):2078-9. (PMID: 19505943) ; Mol Ecol Resour. 2020 Sep;20(5):1171-1181. (PMID: 30848092) ; Nature. 2011 Jul 13;475(7357):493-6. (PMID: 21753753) ; Science. 2009 Feb 6;323(5915):737-41. (PMID: 19197053) ; Nature. 2015 Feb 19;518(7539):371-5. (PMID: 25686609) ; Science. 2014 Jan 24;343(6169):1236573. (PMID: 24458647) ; Bioinformatics. 2009 Jul 15;25(14):1754-60. (PMID: 19451168) ; Nucleic Acids Res. 2010 Apr;38(6):e87. (PMID: 20028723) ; Proc Natl Acad Sci U S A. 2007 Nov 20;104(47):18404-8. (PMID: 18003931) ; Proc Natl Acad Sci U S A. 2013 Sep 24;110(39):15758-63. (PMID: 24019490) ; Curr Biol. 2021 Jul 12;31(13):2939-2946.e5. (PMID: 33989525) ; Biol Rev Camb Philos Soc. 2018 May;93(2):845-862. (PMID: 28990321) ; Sci Rep. 2019 Jul 4;9(1):9680. (PMID: 31273237) ; Trends Ecol Evol. 2001 Jul 1;16(7):405-411. (PMID: 11403874) ; Science. 2008 Jun 27;320(5884):1763-8. (PMID: 18583609) ; Cold Spring Harb Protoc. 2010 Jun;2010(6):pdb.prot5448. (PMID: 20516186) ; Nat Rev Genet. 2011 Jun;12(6):443-51. (PMID: 21587300) ; Nat Biotechnol. 2020 Mar;38(3):276-278. (PMID: 32055031) ; Nucleic Acids Res. 2012 Jan;40(1):e3. (PMID: 22021376) ; Proc Natl Acad Sci U S A. 2011 Sep 20;108(38):15908-13. (PMID: 21873251) ; Nature. 2015 Oct 22;526(7574):569-73. (PMID: 26444237) ; Trends Ecol Evol. 1999 Feb;14(2):72-77. (PMID: 10234259) ; PLoS Comput Biol. 2014 Apr 10;10(4):e1003537. (PMID: 24722319) ; Genetics. 2018 Oct;210(2):719-731. (PMID: 30131346) ; Syst Biol. 2020 Sep 1;69(5):820-829. (PMID: 32415976) ; Curr Biol. 2011 Nov 8;21(21):1838-44. (PMID: 22018543) ; Science. 2014 Dec 12;346(6215):1320-31. (PMID: 25504713) ; Trends Genet. 2019 May;35(5):319-329. (PMID: 30954285) ; PLoS Comput Biol. 2011 Oct;7(10):e1002195. (PMID: 22039361) ; Mol Phylogenet Evol. 2016 Dec;105:193-199. (PMID: 27601346) ; Genetics. 2013 Nov;195(3):693-702. (PMID: 24026093) ; Bioinformatics. 1998;14(9):755-63. (PMID: 9918945) ; Bioinformatics. 2011 Aug 1;27(15):2153-5. (PMID: 21659319) ; Mol Biol Evol. 2015 Jan;32(1):268-74. (PMID: 25371430) ; Trends Ecol Evol. 2009 Mar;24(3):145-56. (PMID: 19185951) ; Science. 2014 Jun 20;344(6190):1410-4. (PMID: 24948738) ; BMC Bioinformatics. 2014 Nov 25;15:356. (PMID: 25420514) ; Cytogenet Genome Res. 2007;117(1-4):120-30. (PMID: 17675852) ; Cell. 2021 Sep 16;184(19):4874-4885.e16. (PMID: 34433011) ; Mol Biol Evol. 2021 Jan 4;38(1):108-127. (PMID: 32781465) ; Mol Ecol. 2021 Dec;30(23):6178-6192. (PMID: 34390061) ; Curr Biol. 2015 May 18;25(10):1375-80. (PMID: 25891404) ; Biol Lett. 2006 Dec 22;2(4):543-7. (PMID: 17148284) ; PLoS One. 2012;7(7):e37558. (PMID: 22911679) ; Am Nat. 2007 Feb;169(2):227-44. (PMID: 17211806)
  • Molecular Sequence: Dryad 10.5061/dryad.qz612jmjm
  • Entry Date(s): Date Created: 20220823 Date Completed: 20220825 Latest Revision: 20221004
  • Update Code: 20240513
  • PubMed Central ID: PMC9399080

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