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- Dehasque, Marianne, et al.
(författare)
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Inference of natural selection from ancient DNA
- 2020
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Ingår i: Evolution Letters. - : JOHN WILEY & SONS LTD. - 2056-3744. ; 4:2, s. 94-108
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Evolutionary processes, including selection, can be indirectly inferred based on patterns of genomic variation among contemporary populations or species. However, this often requires unrealistic assumptions of ancestral demography and selective regimes. Sequencing ancient DNA from temporally spaced samples can inform about past selection processes, as time series data allow direct quantification of population parameters collected before, during, and after genetic changes driven by selection. In this Comment and Opinion, we advocate for the inclusion of temporal sampling and the generation of paleogenomic datasets in evolutionary biology, and highlight some of the recent advances that have yet to be broadly applied by evolutionary biologists. In doing so, we consider the expected signatures of balancing, purifying, and positive selection in time series data, and detail how this can advance our understanding of the chronology and tempo of genomic change driven by selection. However, we also recognize the limitations of such data, which can suffer from postmortem damage, fragmentation, low coverage, and typically low sample size. We therefore highlight the many assumptions and considerations associated with analyzing paleogenomic data and the assumptions associated with analytical methods.
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| 2. |
- Dehasque, Marianne, 1993-
(författare)
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Palaeogenomic reconstruction of woolly mammoth evolutionary history and extinction dynamics
- 2023
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- 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.
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| 3. |
- Dehasque, Marianne, et al.
(författare)
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Temporal dynamics of woolly mammoth genome erosion prior to extinction
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- A large number of species have recently recovered from near-extinction events. Understanding the genetic consequences of severe population declines followed by demographic recoveries is key to predict the long-term viability of species in order to mitigate future extinction risks. Although these species have avoided the immediate extinction threat, their long-term viability remains questionable due to the genetic consequences of population declines, which are not understood on a time scale beyond a few generations. The woolly mammoth (Mammuthus primigenius) population on Wrangel Island is an excellent model system to investigate long-term genetic consequences of a population bottleneck. Mammoths became isolated on the island in the early Holocene due to rising sea levels, and persisted for over 200 generations (~6,000 years) before becoming extinct ~4,000 years ago. To study the evolutionary processes leading up to the extinction of the woolly mammoth on the island, we analysed 21 Siberian woolly mammoth genomes, including that of one of the last known mammoths. Our results show that the Wrangel Island mammoths recovered quickly from an initially severe bottleneck, and subsequently remained demographically stable during the ensuing 6 millennia. Further, we find that highly deleterious mutations were gradually purged from the population, whereas there was an accumulation of mildly deleterious mutations. The gradual purging of highly deleterious mutations suggests an ongoing inbreeding depression that lasted for hundreds of generations. This time-lag between demographic and genetic recovery has wide-ranging implications for conservation management of recently bottlenecked present-day populations.
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