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Inference of natura...
Inference of natural selection from ancient DNA
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- Dehasque, Marianne (author)
- Naturhistoriska riksmuseet,Enheten för bioinformatik och genetik,Ctr Palaeogenet, S-10691 Stockholm, Sweden.;Swedish Museum Nat Hist Stockholm, Dept Bioinformat & Genet, S-10405 Stockholm, Sweden.;Stockholm Univ Stockholm, Dept Zool, Stockholm, Sweden.
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- Avila-Arcos, Maria C. (author)
- International Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro 76230, Mexico
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- Diez-del-Molino, David (author)
- Naturhistoriska riksmuseet,Enheten för bioinformatik och genetik,Ctr Palaeogenet, S-10691 Stockholm, Sweden.;Department of Zoology, Stockholm University 10691 Stockholm, Sweden.
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- Fumagalli, Matteo (author)
- Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot SL5 7PY, United Kingdom.
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- Guschanski, Katerina, Dr. 1978- (author)
- Uppsala universitet,Zooekologi,Science for Life Laboratory, SciLifeLab
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- Lorenzen, Eline D. (author)
- Globe Institute, University of Copenhagen DK-1350, Copenhagen, Denmark.
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- Malaspinas, Anna-Sapfo (author)
- Department of Computational Biology, University of Lausanne 1015, Lausanne, Switzerland;SIB Swiss Institute of Bioinformatics 1015, Lausanne, Switzerland.
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- Marques-Bonet, Tomas (author)
- Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomèdica de Barcelona, Barcelona, Spain;National Centre for Genomic Analysis—Centre for Genomic Regulation, Barcelona Institute of Science and Technology 08028, Barcelona, Spain;Institucio Catalana de Recerca i Estudis Avancats 08010, Barcelona, Spain;Institut Català de Paleontologia Miquel Crusafont Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.
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- Martin, Michael D. (author)
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
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- Murray, Gemma G. R. (author)
- Department of Veterinary Medicine, University of Cambridge, Cambridge CB2 1TN, United Kingdom.
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- Papadopulos, Alexander S. T. (author)
- Molecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Bangor LL57 2UW, United Kingdom.
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- Therkildsen, Nina Overgaard (author)
- Department of Natural Resources, Cornell University, Ithaca, New York 14850.
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- Wegmann, Daniel (author)
- Department of Biology, Université de Fribourg 1700, Fribourg, Switzerland;Swiss Institute of Bioinformatics, Fribourg, Switzerland.
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- Dalen, Love (author)
- Naturhistoriska riksmuseet,Enheten för bioinformatik och genetik,Centre for Palaeogenetics 10691, Stockholm, Sweden;Department of Bioinformatics and Genetics, Swedish Museum of Natural History 10405 Stockholm, Sweden.
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- Foote, Andrew D. (author)
- Molecular Ecology and Fisheries Genetics Laboratory, School of Biological Sciences, Bangor University, Bangor LL57 2UW, United Kingdom.
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(creator_code:org_t)
- JOHN WILEY & SONS LTD, 2020
- 2020
- English.
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In: Evolution Letters. - : JOHN WILEY & SONS LTD. - 2056-3744. ; 4:2, s. 94-108
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Biologi -- Evolutionsbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Evolutionary Biology (hsv//eng)
- NATURVETENSKAP -- Biologi -- Genetik (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Genetics (hsv//eng)
Keyword
- Adaptation
- ancient DNA
- natural selection
- paleogenomics
- time series
- Diversity of life
Publication and Content Type
- vet (subject category)
- art (subject category)
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- By the author/editor
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Dehasque, Marian ...
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Avila-Arcos, Mar ...
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Diez-del-Molino, ...
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Fumagalli, Matte ...
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Guschanski, Kate ...
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Lorenzen, Eline ...
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show more...
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Malaspinas, Anna ...
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Marques-Bonet, T ...
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Martin, Michael ...
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Murray, Gemma G. ...
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Papadopulos, Ale ...
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Therkildsen, Nin ...
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Wegmann, Daniel
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Dalen, Love
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Foote, Andrew D.
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- About the subject
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Evolutionary Bio ...
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- NATURAL SCIENCES
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NATURAL SCIENCES
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and Biological Scien ...
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and Genetics
- Articles in the publication
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Evolution Letter ...
- By the university
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Uppsala University
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Swedish Museum of Natural History