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Palaeogenomic reconstruction of woolly mammoth evolutionary history and extinction dynamics
Stockholm University, Faculty of Science, Department of Zoology.ORCID iD: 0000-0002-4640-8306
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Biodiversity is declining globally. Yet, the biological and genetic processes associated with these declines on a longer timescale are still poorly understood. Ancient DNA is a powerful tool to study evolution in real-time. Despite advances in the field, there is further need for refinement of laboratory and computational techniques. In this thesis, I used mitochondrial and nuclear genomes, as well as radiocarbon data, to study the evolutionary history and extinction dynamics of the woolly mammoth (Mammuthus primigenius). In Chapter I, I developed and optimized a silica column-based extraction protocol for ancient DNA. Based on systematic tests, I advise against routine use of pretreatment methods, like bleach wash and/or predigestion, for well-preserved permafrost samples. Furthermore, I suggest that USER enzyme, which removes uracil from damaged DNA molecules, is effective at half the concentration compared to an established control protocol. Finally, I did not find a significant difference between different silica columns for the clean-up steps, or concentrator columns with different DNA retention sizes. In Chapter II, I used five high coverage Siberian mammoth genomes to develop a method based on differences in read depth to identify indels, insertions and deletions, in the mammoth genome. The results show that indels are enriched in intergenic regions, suggesting strong selection against structural variants affecting gene function. Nevertheless, 87 genes were identified that were severely affected. These genes are related to various functions like body-fat distribution, fur growth and hair shape, body temperature, and body size, and most likely represent important adaptations to the cold steppe-tundra. In Chapter III, I studied the population and extinction dynamics of the woolly mammoths in Siberia by combining Bayesian age models from radiocarbon data with inferences from complete mitogenomes. The results show that the woolly mammoth’s extinction was a complex process with consecutive extirpations, but also partial recolonizations, occurring in different Siberian localities. I hypothesize that Wrangel Island, one of the last refugia of the woolly mammoth, was colonized by mammoths from, or closely related to, a population from central or western Siberia. Mammoths reappeared on the island around 10 ky ago, where they became isolated due to rising sea levels, and went extinct around 4 ky ago. To investigate the genetic consequences of the founder bottleneck event of Wrangel Island and long-term survival at small population size, I analyzed time-series data of 21 woolly mammoth genomes in Chapter IV. Changes in heterozygosity and inbreeding show that while the initial bottleneck was dramatic, the population recovered fast and remained remarkably stable. Analysis of mutation load shows that mammoths purged highly deleterious mutations over time, but also accumulated slightly deleterious mutations, indicating reduced efficacy of selection. Nevertheless, there were no clear signs of a mutational meltdown, and it remains a mystery why mammoths went extinct on the island. In conclusion, this thesis presents methodological advances for DNA extraction and detecting structural variants (i.e., deletions) in ancient genomes. Furthermore, I demonstrate that extinctions are a complex process. Finally, I show that ancient DNA is a powerful tool to study evolutionary processes over long timescales.

Place, publisher, year, edition, pages
Stockholm: Department of Zoology, Stockholm University , 2023. , p. 42
Keywords [en]
woolly mammoth, Mammuthus primigenius, extinction, Wrangel Island, ancient DNA, palaeogenomics, radiocarbon dating, structural variants, genome erosion, population structure
National Category
Biological Sciences
Research subject
Systematic Zoology
Identifiers
URN: urn:nbn:se:su:diva-214156ISBN: 978-91-8014-176-5 (print)ISBN: 978-91-8014-177-2 (electronic)OAI: oai:DiVA.org:su-214156DiVA, id: diva2:1730674
Public defence
2023-03-10, Vivi Täckholmsalen (Q-salen), NPQ-huset, Svante Arrhenius väg 20, Stockholm, 10:00 (English)
Opponent
Supervisors
Available from: 2023-02-15 Created: 2023-01-25 Last updated: 2023-02-06Bibliographically approved
List of papers
1. Development and Optimization of a Silica Column-Based Extraction Protocol for Ancient DNA
Open this publication in new window or tab >>Development and Optimization of a Silica Column-Based Extraction Protocol for Ancient DNA
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2022 (English)In: Genes, E-ISSN 2073-4425, Vol. 13, no 4, article id 687Article in journal (Refereed) Published
Abstract [en]

Rapid and cost-effective retrieval of endogenous DNA from ancient specimens remains a limiting factor in palaeogenomic research. Many methods have been developed to increase ancient DNA yield, but modifications to existing protocols are often based on personal experience rather than systematic testing. Here, we present a new silica column-based extraction protocol, where optimizations were tested in controlled experiments. Using relatively well-preserved permafrost samples, we tested the efficiency of pretreatment of bone and tooth powder with a bleach wash and a predigestion step. We also tested the recovery efficiency of MinElute and QIAquick columns, as well as Vivaspin columns with two molecular weight cut-off values. Finally, we tested the effect of uracil-treatment with two different USER enzyme concentrations. We find that neither bleach wash combined with a predigestion step, nor predigestion by itself, significantly increased sequencing efficiency. Initial results, however, suggest that MinElute columns are more efficient for ancient DNA extractions than QIAquick columns, whereas different molecular weight cut-off values in centrifugal concentrator columns did not have an effect. Uracil treatments are effective at removing DNA damage even at concentrations of 0.15 U/µL (as compared to 0.3 U/µL) of ancient DNA extracts.

Keywords
ancient DNA, woolly mammoth, DNA extraction, high-throughput sequencing, bone
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-204673 (URN)10.3390/genes13040687 (DOI)000786976400001 ()35456493 (PubMedID)2-s2.0-85129129475 (Scopus ID)
Available from: 2022-05-20 Created: 2022-05-20 Last updated: 2024-07-04Bibliographically approved
2. Evolutionary consequences of genomic deletions and insertions in the woolly mammoth genome
Open this publication in new window or tab >>Evolutionary consequences of genomic deletions and insertions in the woolly mammoth genome
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2022 (English)In: iScience, E-ISSN 2589-0042, Vol. 25, no 8, article id 104826Article in journal (Refereed) Published
Abstract [en]

Woolly mammoths had a set of adaptations that enabled them to thrive in the Arctic environment. Many mammoth-specific single nucleotide polymorphisms (SNPs) responsible for unique mammoth traits have been previously identified from ancient genomes. However, a multitude of other genetic variants likely contributed to woolly mammoth evolution. In this study, we sequenced two woolly mammoth genomes and combined these with previously sequenced mammoth and elephant genomes to conduct a survey of mammoth-specific deletions and indels. We find that deletions are highly enriched in non-coding regions, suggesting selection against structural variants that affect protein sequences. Nonetheless, at least 87 woolly mammoth genes contain deletions or indels that modify the coding sequence, including genes involved in skeletal morphology and hair growth. These results suggest that deletions and indels contributed to the unique phenotypic adaptations of the woolly mammoth, and were potentially critical to surviving in its natural environment. 

Keywords
Bioinformatics, Biological sciences, Evolutionary biology, Natural sciences, Phylogenetics, Zoology
National Category
Biological Sciences
Identifiers
urn:nbn:se:su:diva-211994 (URN)10.1016/j.isci.2022.104826 (DOI)000995394500001 ()2-s2.0-85135699106 (Scopus ID)
Available from: 2022-12-01 Created: 2022-12-01 Last updated: 2024-06-04Bibliographically approved
3. Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia
Open this publication in new window or tab >>Combining Bayesian age models and genetics to investigate population dynamics and extinction of the last mammoths in northern Siberia
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2021 (English)In: Quaternary Science Reviews, ISSN 0277-3791, E-ISSN 1873-457X, Vol. 259, article id 106913Article in journal (Refereed) Published
Abstract [en]

To understand the causes and implications of an extinction event, detailed information is necessary. However, this can be challenging when working with poorly resolved paleontological data sets. One approach to increase the data resolution is by combining different methods. In this study, we used both radiocarbon and genetic data to reconstruct the population history and extinction dynamics of the woolly mammoth in northern Siberia. We generated 88 new radiocarbon dates and combined these with previously published dates from 626 specimens to construct Bayesian age models. These models show that mammoths disappeared on the eastern Siberian mainland before the onset of the Younger Dryas (12.9–11.7 ky cal BP). Mammoths did however persist in the northernmost parts of central and western Siberia until the early Holocene. Further genetic results of 131 high quality mitogenomes, including 22 new mitogenomes generated in this study, support the hypothesis that mammoths from, or closely related to, a central and/or west- Siberian population recolonized Wrangel Island over the now submerged northern Siberian plains. As mammoths became trapped on the island due to rising sea levels, they lived another ca. 6000 years on Wrangel Island before eventually going extinct ca. 4000 years ago.

Keywords
Ancient DNA, Radiocarbon, Woolly mammoth, Mitochondrial genomes, Bayesian age modelling
National Category
Earth and Related Environmental Sciences
Identifiers
urn:nbn:se:su:diva-195649 (URN)10.1016/j.quascirev.2021.106913 (DOI)000644423800009 ()
Available from: 2021-08-24 Created: 2021-08-24 Last updated: 2025-02-07Bibliographically approved
4. Temporal dynamics of woolly mammoth genome erosion prior to extinction
Open this publication in new window or tab >>Temporal dynamics of woolly mammoth genome erosion prior to extinction
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2024 (English)In: Cell, ISSN 0092-8674, E-ISSN 1097-4172, Vol. 187, no 14, p. 3531-3540, e1-e13Article in journal (Refereed) Published
Abstract [en]

A number of species have recently recovered from near-extinction. Although these species have avoided the immediate extinction threat, their long-term viability remains precarious due to the potential genetic consequences of population declines, which are poorly understood on a timescale beyond a few generations. Woolly mammoths (Mammuthus primigenius) became isolated on Wrangel Island around 10,000 years ago and persisted for over 200 generations before becoming extinct around 4,000 years ago. To study the evolutionary processes leading up to the mammoths’ extinction, we analyzed 21 Siberian woolly mammoth genomes. Our results show that the population recovered quickly from a severe bottleneck and remained demographically stable during the ensuing six millennia. We find that mildly deleterious mutations gradually accumulated, whereas highly deleterious mutations were purged, suggesting ongoing inbreeding depression that lasted for hundreds of generations. The time-lag between demographic and genetic recovery has wide-ranging implications for conservation management of recently bottlenecked populations.

Keywords
Mammuthus primigenius, woolly mammoth, extinction, ancient DNA, paleogenomics, mutation load, inbreeding, bottleneck, climate, Wrangel Island
National Category
Evolutionary Biology
Research subject
evolutionär genetik
Identifiers
urn:nbn:se:su:diva-214155 (URN)10.1016/j.cell.2024.05.033 (DOI)001272235000001 ()38942016 (PubMedID)2-s2.0-85197516018 (Scopus ID)
Funder
Swedish Research Council, 2017-04647
Available from: 2023-01-25 Created: 2023-01-25 Last updated: 2025-10-03Bibliographically approved

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