Abstract
Biodiversity is essential for the resilience and stability of life, yet it is highly dynamic and has continuously evolved throughout Earth’s history. The biodiversity concept encompasses three hierarchical levels of equal importance to fundamental ecological processes: diversity at the ecosystem, species and genetic levels. The current biodiversity crisis calls for an urgent need to understand the causes and consequences of widespread diversity losses at all three levels. Breakthroughs in palaeogenomics have increased the ecological and temporal scales on which we can use genomic information to study past biodiversity, reaching as far back as the Early Pleistocene. In this Review, we explore the possibilities and limitations of using palaeogenomics for studying all aspects of biodiversity. We explore how incorporating palaeogenomics into biodiversity research can provide clues about ecosystem composition, trophic interactions, species distributions, adaptation, evolution and extinction through time, in response to natural processes and as a consequence of human impact. We report how palaeogenomics can be applied to address a wide range of topics across all three hierarchical levels of biodiversity, and we show how advances within the field are making palaeogenomics an invaluable tool for understanding past and present declines in biodiversity, and in helping to predict future losses.
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References
Dalén, L., Heintzman, P. D., Kapp, J. D. & Shapiro, B. Deep-time paleogenomics and the limits of DNA survival. Science 382, 48–53 (2023).
van der Valk, T. et al. Million-year-old DNA sheds light on the genomic history of mammoths. Nature 591, 265–269 (2021).
Kjær, K. H. et al. A 2-million-year-old ecosystem in Greenland uncovered by environmental DNA. Nature 612, 283–291 (2022).
Green, E. J. & Speller, C. F. Novel substrates as sources of ancient DNA: prospects and hurdles. Genes 8, 180 (2017).
Epp, L. S., Zimmermann, H. H. & Stoof-Leichsenring, K. R. Sampling and extraction of ancient DNA from sediments. Methods Mol. Biol. 1963, 31–44 (2019).
Wagner, S. et al. High-throughput DNA sequencing of ancient wood. Mol. Ecol. 27, 1138–1154 (2018).
Ceballos, G. et al. Accelerated modern human-induced species losses: entering the sixth mass extinction. Sci. Adv. 1, e1400253 (2015).
Ceballos, G., Ehrlich, P. R. & Dirzo, R. Biological annihilation via the ongoing sixth mass extinction signaled by vertebrate population losses and declines. Proc. Natl Acad. Sci. USA 114, E6089–E6096 (2017).
Dasgupta, P. S. & Ehrlich, P. R. in Biological Extinction: New Perspectives (eds Dasgupta, P., Raven, P. & McIvor, A.) 262–284 (Cambridge Univ. Press, 2019).
Cowie, R. H., Bouchet, P. & Fontaine, B. The sixth mass extinction: fact, fiction or speculation? Biol. Rev. Camb. Phil. Soc. 97, 640–663 (2022).
Clarke, C. L. et al. Steppe–tundra composition and deglacial floristic turnover in interior Alaska revealed by sedimentary ancient DNA (sedaDNA). Quat. Sci. Rev. 334, 108672 (2024).
Voldstad, L. H. et al. A complete Holocene lake sediment ancient DNA record reveals long-standing high Arctic plant diversity hotspot in northern Svalbard. Quat. Sci. Rev. 234, 106207 (2020).
Dehasque, M. et al. Temporal dynamics of woolly mammoth genome erosion prior to extinction. Cell 187, 3531–3540.e13 (2024).
Díez-Del-Molino, D. et al. Genomics of adaptive evolution in the woolly mammoth. Curr. Biol. 33, 1753–1764.e4 (2023).
McGhee, G. R., Sheehan, P. M., Bottjer, D. J. & Droser, M. L. Ecological ranking of Phanerozoic biodiversity crises: ecological and taxonomic severities are decoupled. Palaeogeogr. Palaeoclimatol. Palaeoecol. 211, 289–297 (2004).
Barnosky, A. D. et al. Has the Earth’s sixth mass extinction already arrived? Nature 471, 51–57 (2011).
Stewart, J. R., Lister, A. M., Barnes, I. & Dalén, L. Refugia revisited: individualistic responses of species in space and time. Proc. Biol. Sci. 277, 661–671 (2010).
Barnosky, A. D., Koch, P. L., Feranec, R. S., Wing, S. L. & Shabel, A. B. Assessing the causes of late Pleistocene extinctions on the continents. Science 306, 70–75 (2004).
Svenning, J.-C. et al. The late-Quaternary megafauna extinctions: patterns, causes, ecological consequences and implications for ecosystem management in the Anthropocene. Camb. Prisms Extinct. 2, e5 (2024).
Tóth, A. B. et al. Reorganization of surviving mammal communities after the end-Pleistocene megafaunal extinction. Science 365, 1305–1308 (2019).
Galetti, M. et al. Ecological and evolutionary legacy of megafauna extinctions. Biol. Rev. Camb. Phil. Soc. 93, 845–862 (2018).
IPBES. Summary for Policymakers of the Global Assessment Report on Biodiversity and Ecosystem Services of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES secretariat, 2019).
Exposito-Alonso, M. et al. Genetic diversity loss in the Anthropocene. Science 377, 1431–1435 (2022).
Willi, Y., Van Buskirk, J. & Hoffmann, A. A. Limits to the adaptive potential of small populations. Annu. Rev. Ecol. Evol. Syst. 37, 433–458 (2006).
Higuchi, R., Bowman, B., Freiberger, M., Ryder, O. A. & Wilson, A. C. DNA sequences from the quagga, an extinct member of the horse family. Nature 312, 282–284 (1984).
Cooper, R. A. et al. Completeness of the fossil record: estimating losses due to small body size. Geology 34, 241 (2006).
Smith, A. B. Large-scale heterogeneity of the fossil record: implications for Phanerozoic biodiversity studies. Phil. Trans. R. Soc. Lond. B 356, 351–367 (2001).
Thomas, R. H., Schaffner, W., Wilson, A. C. & Pääbo, S. DNA phylogeny of the extinct marsupial wolf. Nature 340, 465–467 (1989).
Cooper, A. et al. Independent origins of New Zealand moas and kiwis. Proc. Natl Acad. Sci. USA 89, 8741–8744 (1992).
Wayne, R. K., Leonard, J. A. & Cooper, A. Full of sound and fury: history of ancient DNA. Annu. Rev. Ecol. Syst. 30, 457–477 (1999).
Knapp, M. & Hofreiter, M. Next generation sequencing of ancient DNA: requirements, strategies and perspectives. Genes 1, 227–243 (2010).
Dalal, V., Pasupuleti, N., Chaubey, G., Rai, N. & Shinde, V. Advancements and challenges in ancient DNA research: bridging the global North–South divide. Genes 14, 479 (2023).
Breed, M. F. et al. The potential of genomics for restoring ecosystems and biodiversity. Nat. Rev. Genet. 20, 615–628 (2019).
Theissinger, K. et al. How genomics can help biodiversity conservation. Trends Genet. 39, 545–559 (2023).
Hogg, C. J. Translating genomic advances into biodiversity conservation. Nat. Rev. Genet. 25, 362–373 (2024).
Sawyer, S., Krause, J., Guschanski, K., Savolainen, V. & Pääbo, S. Temporal patterns of nucleotide misincorporations and DNA fragmentation in ancient DNA. PLoS ONE 7, e34131 (2012).
Kistler, L., Ware, R., Smith, O., Collins, M. & Allaby, R. G. A new model for ancient DNA decay based on paleogenomic meta-analysis. Nucleic Acids Res. 45, 6310–6320 (2017).
Mullin, V. E. et al. First large‐scale quantification study of DNA preservation in insects from natural history collections using genome‐wide sequencing. Methods Ecol. Evol. 14, 360–371 (2023).
Llamas, B. et al. From the field to the laboratory: controlling DNA contamination in human ancient DNA research in the high-throughput sequencing era. STAR Sci. Technol. Archaeol. Res. 3, 1–14 (2017).
Dabney, J., Meyer, M. & Pääbo, S. Ancient DNA damage. Cold Spring Harb. Persp. Biol. 5, a012567 (2013).
Rohland, N., Glocke, I., Aximu-Petri, A. & Meyer, M. Extraction of highly degraded DNA from ancient bones, teeth and sediments for high-throughput sequencing. Nat. Protoc. 13, 2447–2461 (2018).
Epp, L. S., Stoof, K. R., Trauth, M. H. & Tiedemann, R. Historical genetics on a sediment core from a Kenyan lake: intraspecific genotype turnover in a tropical rotifer is related to past environmental changes. J. Paleolimnol. 43, 939–954 (2010).
Stoof-Leichsenring, K. R., Epp, L. S., Trauth, M. H. & Tiedemann, R. Hidden diversity in diatoms of Kenyan Lake Naivasha: a genetic approach detects temporal variation. Mol. Ecol. 21, 1918–1930 (2012).
Dommain, R. et al. The challenges of reconstructing tropical biodiversity with sedimentary ancient DNA: a 2200-year-long metagenomic record from Bwindi Impenetrable Forest, Uganda. Front. Ecol. Evol. 8, 218 (2020).
Epp, L. S. A global perspective for biodiversity history with ancient environmental DNA. Mol. Ecol. 28, 2456–2458 (2019).
Pedersen, M. W. et al. Ancient and modern environmental DNA. Phil. Trans. R. Soc. Lond. B 370, 20130383 (2015).
Schlumbaum, A., Tensen, M. & Jaenicke-Després, V. Ancient plant DNA in archaeobotany. Veg. Hist. Archaeobot. 17, 233–244 (2008).
Murchie, T. J. et al. Pleistocene mitogenomes reconstructed from the environmental DNA of permafrost sediments. Curr. Biol. 32, 851–860.e7 (2022).
Schulte, L. et al. Larix species range dynamics in Siberia since the Last Glacial captured from sedimentary ancient DNA. Commun. Biol. 5, 570 (2022).
Heintzman, P. D. et al. In Tracking Environmental Change Using Lake Sediments (eds Capo, E., Barouillet, C. & Smol, J. P.) 53–84 (Springer International, 2023).
Pedersen, M. W. et al. Postglacial viability and colonization in North America’s ice-free corridor. Nature 537, 45–49 (2016).
Willerslev, E. et al. Fifty thousand years of Arctic vegetation and megafaunal diet. Nature 506, 47–51 (2014).
Taberlet, P., Coissac, E., Hajibabaei, M. & Rieseberg, L. H. Environmental DNA: environmental DNA. Mol. Ecol. 21, 1789–1793 (2012).
Mamanova, L. et al. Target-enrichment strategies for next-generation sequencing. Nat. Methods 7, 111–118 (2010).
Murchie, T. J. et al. Collapse of the mammoth-steppe in central Yukon as revealed by ancient environmental DNA. Nat. Commun. 12, 7120 (2021).
Schulte, L. et al. Hybridization capture of larch (Larix Mill.) chloroplast genomes from sedimentary ancient DNA reveals past changes of Siberian forest. Mol. Ecol. Resour. 21, 801–815 (2021).
Cribdon, B., Ware, R., Smith, O., Gaffney, V. & Allaby, R. G. PIA: more accurate taxonomic assignment of metagenomic data demonstrated on sedaDNA from the North Sea. Front. Ecol. Evol. 8, 506594 (2020).
González Fortes, G. & Paijmans, J. L. A. Whole-genome capture of ancient DNA using homemade baits. Methods Mol. Biol. 1963, 93–105 (2019).
Soares, A. E. R. Hybridization capture of ancient DNA using RNA baits. Methods Mol. Biol. 1963, 121–128 (2019).
Poinar, H. N. et al. Metagenomics to paleogenomics: large-scale sequencing of mammoth DNA. Science 311, 392–394 (2006).
Carpenter, M. L. et al. Pulling out the 1%: whole-genome capture for the targeted enrichment of ancient DNA sequencing libraries. Am. J. Hum. Genet. 93, 852–864 (2013).
Nistelberger, H. M., Smith, O., Wales, N., Star, B. & Boessenkool, S. The efficacy of high-throughput sequencing and target enrichment on charred archaeobotanical remains. Sci. Rep. 6, 37347 (2016).
Bunce, M. et al. Extreme reversed sexual size dimorphism in the extinct New Zealand moa Dinornis. Nature 425, 172–175 (2003).
Huynen, L., Millar, C. D., Scofield, R. P. & Lambert, D. M. Nuclear DNA sequences detect species limits in ancient moa. Nature 425, 175–178 (2003).
da Fonseca, R. R. et al. The origin and evolution of maize in the Southwestern United States. Nat. Plants. 1, 14003 (2015).
Park, S. D. E. et al. Genome sequencing of the extinct Eurasian wild aurochs, Bos primigenius, illuminates the phylogeography and evolution of cattle. Genome Biol. 16, 234 (2015).
Wang, M.-S. et al. A polar bear paleogenome reveals extensive ancient gene flow from polar bears into brown bears. Nat. Ecol. Evol. 6, 936–944 (2022).
Casas-Marce, M. et al. Spatiotemporal dynamics of genetic variation in the iberian lynx along its path to extinction reconstructed with ancient DNA. Mol. Biol. Evol 34, 2893–2907 (2017).
Kellner, F. L. et al. A palaeogenomic investigation of overharvest implications in an endemic wild reindeer subspecies. Mol. Ecol. 33, e17274 (2024).
Palkopoulou, E. et al. Synchronous genetic turnovers across Western Eurasia in Late Pleistocene collared lemmings. Glob. Chang. Biol. 22, 1710–1721 (2016).
Baca, M. et al. Ancient DNA reveals interstadials as a driver of common vole population dynamics during the last glacial period. J. Biogeogr. 50, 183–196 (2023).
Parducci, L., Suyama, Y., Lascoux, M. & Bennett, K. D. Ancient DNA from pollen: a genetic record of population history in Scots pine. Mol. Ecol. 14, 2873–2882 (2005).
Ehrlich, P. R., Kremen, C. & Ehrlich, A. H. in Encyclopedia of Biodiversity 2nd edn (ed. Levin, S. A.) 153–161 (Elsevier, 2013).
Berends, C. J., Köhler, P., Lourens, L. J. & van de Wal, R. S. W. On the cause of the mid‐Pleistocene transition. Rev. Geophys. 59, e2020RG000727 (2021).
Willerslev, E. et al. Ancient biomolecules from deep ice cores reveal a forested southern Greenland. Science 317, 111–114 (2007).
Crump, S. E. et al. Ancient plant DNA reveals High Arctic greening during the Last Interglacial. Proc. Natl Acad. Sci. USA 118, e2019069118 (2021).
Courtin, J. et al. Pleistocene glacial and interglacial ecosystems inferred from ancient DNA analyses of permafrost sediments from Batagay megaslump, East Siberia. Environ. DNA. 4, 1265–1283 (2022).
Climate Change 2023: Synthesis Report. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Summary for Policymakers. IPCC https://www.ipcc.ch/report/ar6/syr/downloads/report/IPCC_AR6_SYR_SPM.pdf (2023).
Park, T. et al. Changes in growing season duration and productivity of northern vegetation inferred from long-term remote sensing data. Environ. Res. Lett. 11, 084001 (2016).
Alsos, I. G. et al. Plant DNA metabarcoding of lake sediments: how does it represent the contemporary vegetation. PLoS ONE 13, e0195403 (2018).
Stivrins, N. et al. Biotic turnover rates during the Pleistocene–Holocene transition. Quat. Sci. Rev. 151, 100–110 (2016).
Wang, Y. et al. Late Quaternary dynamics of Arctic biota from ancient environmental genomics. Nature 600, 86–92 (2021).
Jeffers, E. S. et al. Plant controls on Late Quaternary whole ecosystem structure and function. Ecol. Lett. 21, 814–825 (2018).
Seersholm, F. V. et al. Rapid range shifts and megafaunal extinctions associated with late Pleistocene climate change. Nat. Commun. 11, 2770 (2020).
Rijal, D. P. et al. Sedimentary ancient DNA shows terrestrial plant richness continuously increased over the Holocene in northern Fennoscandia. Sci. Adv. 7, eabf9557 (2021).
Alsos, I. G. et al. Postglacial species arrival and diversity buildup of northern ecosystems took millennia. Sci. Adv. 8, eabo7434 (2022).
Boilard, A. et al. Ancient DNA and osteological analyses of a unique paleo-archive reveal Early Holocene faunal expansion into the Scandinavian Arctic. Sci. Adv. 10, eadk3032 (2024).
Clarke, C. L. et al. Persistence of Arctic–alpine flora during 24,000 years of environmental change in the polar Urals. Sci. Rep. 9, 19613 (2019).
Garcés-Pastor, S. et al. High resolution ancient sedimentary DNA shows that alpine plant diversity is associated with human land use and climate change. Nat. Commun. 13, 6559 (2022).
Pansu, J. et al. Reconstructing long-term human impacts on plant communities: an ecological approach based on lake sediment DNA. Mol. Ecol. 24, 1485–1498 (2015).
ter Schure, A. T. M. et al. Anthropogenic and environmental drivers of vegetation change in southeastern Norway during the Holocene. Quat. Sci. Rev. 270, 107175 (2021).
Lindahl, T. Instability and decay of the primary structure of DNA. Nature 362, 709–715 (1993).
Boessenkool, S. et al. Use of ancient sedimentary DNA as a novel conservation tool for high-altitude tropical biodiversity. Conserv. Biol. 28, 446–455 (2014).
Jia, W. et al. Preservation of sedimentary plant DNA is related to lake water chemistry. Environ. DNA 4, 425–439 (2022).
Isbell, F. et al. Expert perspectives on global biodiversity loss and its drivers and impacts on people. Front. Ecol. Environ. 21, 94–103 (2023).
Ellis, E. C., Klein Goldewijk, K., Siebert, S., Lightman, D. & Ramankutty, N. Anthropogenic transformation of the biomes, 1700 to 2000. Glob. Ecol. Biogeogr. 19, 589–606 (2010).
Ruddiman, W. F. The Anthropocene. Annu. Rev. Earth Planet. Sci. 41, 45–68 (2013).
Johnson, C. N. et al. Biodiversity losses and conservation responses in the Anthropocene. Science 356, 270–275 (2017).
Turvey, S. T. & Crees, J. J. Extinction in the Anthropocene. Curr. Biol. 29, R982–R986 (2019).
Capo, E. et al. Tracking a century of changes in microbial eukaryotic diversity in lakes driven by nutrient enrichment and climate warming. Environ. Microbiol. 19, 2873–2892 (2017).
Li, F., Zhang, X., Xie, Y. & Wang, J. Sedimentary DNA reveals over 150 years of ecosystem change by human activities in Lake Chao, China. Environ. Int. 133, 105214 (2019).
Ibrahim, A. et al. Anthropogenic impact on the historical phytoplankton community of lake constance reconstructed by multimarker analysis of sediment-core environmental DNA. Mol. Ecol. 30, 3040–3056 (2021).
Bauer, S. & Hoye, B. J. Migratory animals couple biodiversity and ecosystem functioning worldwide. Science 344, 1242552 (2014).
Tucker, M. A. et al. Moving in the Anthropocene: global reductions in terrestrial mammalian movements. Science 359, 466–469 (2018).
Barouillet, C. et al. Investigating the effects of anthropogenic stressors on lake biota using sedimentary DNA. Freshw. Biol. 68, 1799–1817 (2022).
Monchamp, M.-E. et al. Homogenization of lake cyanobacterial communities over a century of climate change and eutrophication. Nat. Ecol. Evol. 2, 317–324 (2018).
Barouillet, C. et al. Paleoreconstructions of ciliate communities reveal long-term ecological changes in temperate lakes. Sci. Rep. 12, 7899 (2022).
Armbrecht, L. et al. Ancient marine sediment DNA reveals diatom transition in Antarctica. Nat. Commun. 13, 5787 (2022).
Bagousse-Pinguet, Y. L. et al. Phylogenetic, functional, and taxonomic richness have both positive and negative effects on ecosystem multifunctionality. Proc. Natl Acad. Sci. USA 116, 8419–8424 (2019).
Tilman, D., Isbell, F. & Cowles, J. M. Biodiversity and ecosystem functioning. Annu. Rev. Ecol. Evol. Syst. 45, 471–493 (2014).
Isbell, F. et al. Biodiversity increases the resistance of ecosystem productivity to climate extremes. Nature 526, 574–577 (2015).
B-Béres, V. et al. Ecosystem services provided by freshwater and marine diatoms. Hydrobiologia 850, 2707–2733 (2023).
Murray, D. C. et al. Scrapheap challenge: a novel bulk-bone metabarcoding method to investigate ancient DNA in faunal assemblages. Sci. Rep. 3, 3371 (2013).
Woods, R., Barnes, I., Brace, S. & Turvey, S. T. Ancient DNA suggests single colonization and within-archipelago diversification of Caribbean caviomorph rodents. Mol. Biol. Evol. 38, 84–95 (2021).
Dalén, L. et al. Ancient DNA reveals lack of postglacial habitat tracking in the arctic fox. Proc. Natl Acad. Sci. USA 104, 6726–6729 (2007).
Foote, A. D. et al. Ancient DNA reveals that bowhead whale lineages survived Late Pleistocene climate change and habitat shifts. Nat. Commun. 4, 1677 (2013).
Meiri, M., Lister, A., Kosintsev, P., Zazula, G. & Barnes, I. Population dynamics and range shifts of moose (Alces alces) during the Late Quaternary. J. Biogeogr. 47, 2223–2234 (2020).
Wang, Y. et al. Author Correction: Late Quaternary dynamics of Arctic biota from ancient environmental genomics. Nature 610, E5 (2022).
Haile, J. et al. Ancient DNA reveals late survival of mammoth and horse in interior Alaska. Proc. Natl Acad. Sci. USA 106, 22352–22357 (2009).
Graham, R. W. et al. Timing and causes of mid-Holocene mammoth extinction on St. Paul Island, Alaska. Proc. Natl Acad. Sci. USA 113, 9310–9314 (2016).
Jaureguiberry, P. et al. The direct drivers of recent global anthropogenic biodiversity loss. Sci. Adv. 8, eabm9982 (2022).
White, L. C., Mitchell, K. J. & Austin, J. J. Ancient mitochondrial genomes reveal the demographic history and phylogeography of the extinct, enigmatic thylacine (Thylacinus cynocephalus). J. Biogeogr. 45, 1–13 (2018).
Murray, G. G. R. et al. Natural selection shaped the rise and fall of passenger pigeon genomic diversity. Science 358, 951–954 (2017).
Thomas, J. E. et al. Demographic reconstruction from ancient DNA supports rapid extinction of the great auk. eLife 8, e47509 (2019).
Sharko, F. S. et al. Steller’s sea cow genome suggests this species began going extinct before the arrival of Paleolithic humans. Nat. Commun. 12, 2215 (2021).
Yan, D. et al. Sedimentary DNA reveals phytoplankton diversity loss in a deep maar lake during the Anthropocene. Limnol. Oceanogr. 69, 1299–1315 (2024).
Schmidt, A. et al. Decoding the Baltic Sea’s past and present: a simple molecular index for ecosystem assessment. Ecol. Indic. 166, 112494 (2024).
Siano, R. et al. Sediment archives reveal irreversible shifts in plankton communities after World War II and agricultural pollution. Curr. Biol. 31, 2682–2689.e7 (2021).
Shaw, J. L. A., Weyrich, L. S., Hallegraeff, G. & Cooper, A. Retrospective eDNA assessment of potentially harmful algae in historical ship ballast tank and marine port sediments. Mol. Ecol. 28, 2476–2485 (2019).
Ficetola, G. F. et al. DNA from lake sediments reveals long-term ecosystem changes after a biological invasion. Sci. Adv. 4, eaar4292 (2018).
Daszak, P., Cunningham, A. A. & Hyatt, A. D. Emerging infectious diseases of wildlife — threats to biodiversity and human health. Science 287, 443–449 (2000).
Kelly, L. T. et al. Fire and biodiversity in the Anthropocene. Science 370, eabb0355 (2020).
Sims, D., Sudbery, I., Ilott, N. E., Heger, A. & Ponting, C. P. Sequencing depth and coverage: key considerations in genomic analyses. Nat. Rev. Genet. 15, 121–132 (2014).
Depaulis, F., Orlando, L. & Hänni, C. Using classical population genetics tools with heterochroneous data: time matters! PLoS ONE 4, e5541 (2009).
Orlando, L. et al. Recalibrating Equus evolution using the genome sequence of an early Middle Pleistocene horse. Nature 499, 74–78 (2013).
Barlow, A. et al. Middle Pleistocene genome calibrates a revised evolutionary history of extinct cave bears. Curr. Biol. 31, 1771–1779.e7 (2021).
Lord, E. et al. Population dynamics and demographic history of Eurasian collared lemmings. BMC Ecol. Evol. 22, 126 (2022).
Baca, M. et al. Ancient DNA of narrow-headed vole reveal common features of the Late Pleistocene population dynamics in cold-adapted small mammals. Proc. Biol. Sci. 290, 20222238 (2023).
Loog, L. et al. Ancient DNA suggests modern wolves trace their origin to a Late Pleistocene expansion from Beringia. Mol. Ecol. 29, 1596–1610 (2020).
Cahill, J. A. et al. Genomic evidence of widespread admixture from polar bears into brown bears during the last ice age. Mol. Biol. Evol. 35, 1120–1129 (2018).
Marr, M. M., Brace, S., Schreve, D. C. & Barnes, I. Identifying source populations for the reintroduction of the Eurasian beaver, Castor fiber L. 1758, into Britain: evidence from ancient DNA. Sci. Rep. 8, 2708 (2018).
Palkopoulou, E. et al. Complete genomes reveal signatures of demographic and genetic declines in the woolly mammoth. Curr. Biol. 25, 1395–1400 (2015).
Lord, E. et al. Pre-extinction demographic stability and genomic signatures of adaptation in the woolly rhinoceros. Curr. Biol. 30, 3871–3879.e7 (2020).
von Seth, J. et al. Genomic insights into the conservation status of the world’s last remaining Sumatran rhinoceros populations. Nat. Commun. 12, 2393 (2021).
van der Valk, T., Díez-Del-Molino, D., Marques-Bonet, T., Guschanski, K. & Dalén, L. Historical genomes reveal the genomic consequences of recent population decline in Eastern Gorillas. Curr. Biol. 29, 165–170.e6 (2019).
Díez-del-Molino, D., Sánchez-Barreiro, F., Barnes, I., Gilbert, M. T. P. & Dalén, L. Quantifying temporal genomic erosion in endangered species. Trends Ecol. Evol. 33, 176–185 (2018).
Duncan, R. P., Boyer, A. G. & Blackburn, T. M. Magnitude and variation of prehistoric bird extinctions in the Pacific. Proc. Natl Acad. Sci. USA 110, 6436–6441 (2013).
Wood, J. R. et al. Island extinctions: processes, patterns, and potential for ecosystem restoration. Environ. Conserv. 44, 348–358 (2017).
Fernández-Palacios, J. M. et al. Scientists’ warning — the outstanding biodiversity of islands is in peril. Glob. Ecol. Conserv. 31, e01847 (2021).
Roycroft, E. et al. Museum genomics reveals the rapid decline and extinction of Australian rodents since European settlement. Proc. Natl Acad. Sci. USA 118, e2021390118 (2021).
Mathur, S. & DeWoody, J. A. Genetic load has potential in large populations but is realized in small inbred populations. Evol. Appl. 14, 1540–1557 (2021).
Kleinman-Ruiz, D. et al. Purging of deleterious burden in the endangered Iberian lynx. Proc. Natl Acad. Sci. USA 119, e2110614119 (2022).
Grossen, C., Guillaume, F., Keller, L. F. & Croll, D. Purging of highly deleterious mutations through severe bottlenecks in Alpine ibex. Nat. Commun. 11, 1001 (2020).
Xue, Y. et al. Mountain gorilla genomes reveal the impact of long-term population decline and inbreeding. Science 348, 242–245 (2015).
Dussex, N. et al. Population genomics of the critically endangered kākāpō. Cell Genom. 1, 100002 (2021).
Dussex, N., Morales, H. E., Grossen, C., Dalén, L. & van Oosterhout, C. Purging and accumulation of genetic load in conservation. Trends Ecol. Evol. 38, 961–969 (2023).
Feng, S. et al. The genomic footprints of the fall and recovery of the crested ibis. Curr. Biol. 29, 340–349.e7 (2019).
Fordham, D. A., Brook, B. W., Moritz, C. & Nogués-Bravo, D. Better forecasts of range dynamics using genetic data. Trends Ecol. Evol. 29, 436–443 (2014).
Prost, S. et al. Losing ground: past history and future fate of Arctic small mammals in a changing climate. Glob. Change Biol. 19, 1854–1864 (2013).
Eastwood, N. et al. The Time Machine framework: monitoring and prediction of biodiversity loss. Trends Ecol. Evol. 37, 138–146 (2022).
Hatton, I. A., Mazzarisi, O., Altieri, A. & Smerlak, M. Diversity begets stability: sublinear growth and competitive coexistence across ecosystems. Science 383, eadg8488 (2024).
Nwosu, E. C. et al. Early human impact on lake cyanobacteria revealed by a Holocene record of sedimentary ancient DNA. Commun. Biol. 6, 72 (2023).
Jouzel, J. et al. Orbital and millennial Antarctic climate variability over the past 800,000 years. Science 317, 793–796 (2007).
Andersen, K. K. et al. High-resolution record of Northern Hemisphere climate extending into the last interglacial period. Nature 431, 147–151 (2004).
Morice, C. P., Kennedy, J. J., Rayner, N. A. & Jones, P. D. Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: the HadCRUT4 data set. J. Geophys. Res. Atmos. https://doi.org/10.1029/2011JD017187 (2012).
Lisiecki, L. E. & Raymo, M. E. A. Pliocene–Pleistocene stack of 57 globally distributed benthic δ18O records. Paleoceanography https://doi.org/10.1029/2004PA001071 (2005).
IPCC. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker, T. F. et al.) (Cambridge Univ. Press, 2013).
Burke, K. D. et al. Pliocene and Eocene provide best analogs for near-future climates. Proc. Natl Acad. Sci. USA 115, 13288–13293 (2018).
Ter Schure, A. T. M. et al. Sedimentary ancient DNA metabarcoding as a tool for assessing prehistoric plant use at the Upper Paleolithic cave site Aghitu-3, Armenia. J. Hum. Evol. 172, 103258 (2022).
Parducci, L. et al. Ancient plant DNA in lake sediments. N. Phytol. 214, 924–942 (2017).
Acknowledgements
S. Boessenkool acknowledges support from the Research Council of Norway (grant 314464). The authors thank S. Nylin and K. Norén, as well as the students in course BL7075 at Stockholm University for providing feedback on earlier versions of the manuscript.
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L.D., A.L., D.D.d.M. and P.D.H. conceived the review and A.L. wrote the first draft. All authors contributed to discussion of the content, conceptualized the figures, substantially reviewed and edited the manuscript before submission, and approved the final manuscript.
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Nature Reviews Biodiversity thanks Tyler Murchie and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
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Convention on Biological Diversity: http://www.cbd.int/
Earth BioGenome Project: https://www.earthbiogenome.org/
The Intergovernmental Panel on Climate Change: https://www.ipcc.ch/
Glossary
- Baits
-
Baits or probes for target enrichment are made of short biotinylated single-stranded DNA or RNA molecules that bind to DNA fragments from specific genomic regions, which are then separated from the remaining non-target DNA molecules.
- Bulk bone
-
A collection of morphologically unidentifiable bone fragments collected from a single stratigraphic layer in a cave, for example.
- Endogenous DNA
-
The fraction of DNA in a sample that derives from the organism(s) under study.
- Exogenous DNA
-
The fraction of DNA in a sample that derives from organisms other than the one(s) under study; this can be introduced by the environment in which the sample is preserved, during handling of the sample, or by laboratory preparations.
- Glacial periods
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Intervals of time characterized by cold temperatures, the formation of extensive continental ice sheets and reduced sea levels.
- Glacial refugia
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Geographical areas with warmer climates that provide suitable living conditions for warm-adapted species during glacial periods.
- Interglacial periods
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Intervals of time between glacial periods characterized by warm temperatures, retreated ice sheets and sea levels comparable to those of today.
- Palaeogenomics
-
The genome-wide analysis of DNA from ancient organisms.
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Lindahl, A., Epp, L.S., Boessenkool, S. et al. Palaeogenomic inference of biodiversity dynamics across Quaternary timescales. Nat. Rev. Biodivers. 1, 233–247 (2025). https://doi.org/10.1038/s44358-025-00033-0
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DOI: https://doi.org/10.1038/s44358-025-00033-0


