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DiLeo MF, Nair A, Kardos M, Husby A, Saastamoinen M. Demography and environment modulate the effects of genetic diversity on extinction risk in a butterfly metapopulation. Proc Natl Acad Sci U S A 2024; 121:e2309455121. [PMID: 39116125 PMCID: PMC11331070 DOI: 10.1073/pnas.2309455121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/04/2024] [Indexed: 08/10/2024] Open
Abstract
Linking genetic diversity to extinction is a common goal in genomic studies. Recently, a debate has arisen regarding the importance of genetic variation in conservation as some studies have failed to find associations between genome-wide genetic diversity and extinction risk. However, only rarely are genetic diversity and fitness measured together in the wild, and typically demographic history and environment are ignored. It is therefore difficult to infer whether a lack of an association is real or obscured by confounding factors. To address these shortcomings, we analyzed genetic data from 7,501 individuals with extinction data from 279 meadows and mortality of 1,742 larval nests in a butterfly metapopulation. We found a strong negative association between genetic diversity and extinction when considering only heterozygosity in models. However, this association disappeared when accounting for ecological covariates, suggesting a confounding between demography and genetics and a more complex role for heterozygosity in extinction risk. Modeling interactions between heterozygosity and demographic variables revealed that associations between extinction and heterozygosity were context-dependent. For example, extinction declined with increasing heterozygosity in large, but not currently small populations, although negative associations between heterozygosity, extinction, and mortality were detected in small populations with a recent history of decline. We conclude that low genetic diversity is an important predictor of extinction, predicting >25% increase in extinction beyond ecological factors in certain contexts. These results highlight that inferences about the importance of genetic diversity for population viability should not rely on genomic data alone but require investments in obtaining demographic and environmental data from natural populations.
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Affiliation(s)
- Michelle F. DiLeo
- Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki00014, Finland
- Wildlife Research and Monitoring Section, Ontario Ministry of Natural Resources, Peterborough, ONK9L 1Z8, Canada
| | - Abhilash Nair
- Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki00014, Finland
| | - Marty Kardos
- Conservation Biology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Seattle, WA98112
| | - Arild Husby
- Evolutionary Biology, Department of Ecology and Genetics, Uppsala University, Uppsala75236, Sweden
| | - Marjo Saastamoinen
- Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki00014, Finland
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2
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Dehasque M, Morales HE, Díez-Del-Molino D, Pečnerová P, Chacón-Duque JC, Kanellidou F, Muller H, Plotnikov V, Protopopov A, Tikhonov A, Nikolskiy P, Danilov GK, Giannì M, van der Sluis L, Higham T, Heintzman PD, Oskolkov N, Gilbert MTP, Götherström A, van der Valk T, Vartanyan S, Dalén L. Temporal dynamics of woolly mammoth genome erosion prior to extinction. Cell 2024; 187:3531-3540.e13. [PMID: 38942016 DOI: 10.1016/j.cell.2024.05.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 02/08/2024] [Accepted: 05/17/2024] [Indexed: 06/30/2024]
Abstract
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.
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Affiliation(s)
- Marianne Dehasque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden.
| | - Hernán E Morales
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - David Díez-Del-Molino
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Patrícia Pečnerová
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden; Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, 11418 Stockholm, Sweden
| | - Foteini Kanellidou
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Héloïse Muller
- Master de Biologie, Ecole Normale Superieure de Lyon, Universite Claude Bernard Lyon I, Universite de Lyon, 69007 Lyon, France
| | - Valerii Plotnikov
- Academy of Sciences of Sakha Republic, Lenin Avenue 33, Yakutsk, Republic of Sakha (Yakutia), Russia
| | - Albert Protopopov
- Academy of Sciences of Sakha Republic, Lenin Avenue 33, Yakutsk, Republic of Sakha (Yakutia), Russia
| | - Alexei Tikhonov
- Zoological Institute of Russian Academy of Sciences, Saint-Petersburg, Russia
| | - Pavel Nikolskiy
- Geological Institute of the Russian Academy of Sciences, Moscow, Russia
| | - Gleb K Danilov
- Peter the Great Museum of Anthropology and Ethnography, Kunstkamera, Russian Academy of Sciences, 3 University Embankment, Box 199034, Saint-Petersburg, Russia
| | - Maddalena Giannì
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Laura van der Sluis
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Tom Higham
- Department of Evolutionary Anthropology, Faculty of Life Sciences, University of Vienna, Vienna, Austria; Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Peter D Heintzman
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Geological Sciences, Stockholm University, 10691 Stockholm, Sweden
| | - Nikolay Oskolkov
- Department of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, Lund, Sweden
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark; University Museum, NTNU, Trondheim, Norway
| | - Anders Götherström
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, 11418 Stockholm, Sweden
| | - Tom van der Valk
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden; SciLifeLab, Stockholm, Sweden
| | - Sergey Vartanyan
- North-East Interdisciplinary Scientific Research Institute N.A.N.A. Shilo, Far East Branch, Russian Academy of Sciences, Magadan, Russia
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden.
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3
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Bougiouri K, Aninta SG, Charlton S, Harris A, Carmagnini A, Piličiauskienė G, Feuerborn TR, Scarsbrook L, Tabadda K, Blaževičius P, Parker HG, Gopalakrishnan S, Larson G, Ostrander EA, Irving-Pease EK, Frantz LA, Racimo F. Imputation of ancient canid genomes reveals inbreeding history over the past 10,000 years. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.15.585179. [PMID: 38903121 PMCID: PMC11188068 DOI: 10.1101/2024.03.15.585179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
The multi-millenia long history between dogs and humans has placed them at the forefront of archeological and genomic research. Despite ongoing efforts including the analysis of ancient dog and wolf genomes, many questions remain regarding their geographic and temporal origins, and the microevolutionary processes that led to the diversity of breeds today. Although ancient genomes provide valuable information, their use is hindered by low depth of coverage and post-mortem damage, which inhibits confident genotype calling. In the present study, we assess how genotype imputation of ancient dog and wolf genomes, utilising a large reference panel, can improve the resolution provided by ancient datasets. Imputation accuracy was evaluated by down-sampling high coverage dog and wolf genomes to 0.05-2x coverage and comparing concordance between imputed and high coverage genotypes. We measured the impact of imputation on principal component analyses and runs of homozygosity. Our findings show high (R2>0.9) imputation accuracy for dogs with coverage as low as 0.5x and for wolves as low as 1.0x. We then imputed a dataset of 90 ancient dog and wolf genomes, to assess changes in inbreeding during the last 10,000 years of dog evolution. Ancient dog and wolf populations generally exhibited lower inbreeding levels than present-day individuals. Interestingly, regions with low ROH density maintained across ancient and present-day samples were significantly associated with genes related to olfaction and immune response. Our study indicates that imputing ancient canine genomes is a viable strategy that allows for the use of analytical methods previously limited to high-quality genetic data.
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Affiliation(s)
- Katia Bougiouri
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Sabhrina Gita Aninta
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Sophy Charlton
- BioArCh, Department of Archaeology, University of York, York, UK
| | - Alex Harris
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Alberto Carmagnini
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - Giedrė Piličiauskienė
- Department of Archeology, Faculty of History, Vilnius University, Vilnius, Lithuania
| | - Tatiana R. Feuerborn
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Lachie Scarsbrook
- The Palaeogenomics and Bio-archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Kristina Tabadda
- The Palaeogenomics and Bio-archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Povilas Blaževičius
- Department of Archeology, Faculty of History, Vilnius University, Vilnius, Lithuania
- National Museum of Lithuania, Vilnius, Lithuania
| | - Heidi G. Parker
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Shyam Gopalakrishnan
- Center for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Greger Larson
- The Palaeogenomics and Bio-archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK
| | - Elaine A. Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Evan K. Irving-Pease
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Laurent A.F. Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Palaeogenomics Group, Department of Veterinary Sciences, Ludwig Maximilian University, Munich, Germany
| | - Fernando Racimo
- Section for Molecular Ecology and Evolution, Globe Institute, University of Copenhagen, Copenhagen, Denmark
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4
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Tian R, Zhang Y, Kang H, Zhang F, Jin Z, Wang J, Zhang P, Zhou X, Lanyon JM, Sneath HL, Woolford L, Fan G, Li S, Seim I. Sirenian genomes illuminate the evolution of fully aquatic species within the mammalian superorder afrotheria. Nat Commun 2024; 15:5568. [PMID: 38956050 PMCID: PMC11219930 DOI: 10.1038/s41467-024-49769-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 06/12/2024] [Indexed: 07/04/2024] Open
Abstract
Sirenians of the superorder Afrotheria were the first mammals to transition from land to water and are the only herbivorous marine mammals. Here, we generated a chromosome-level dugong (Dugong dugon) genome. A comparison of our assembly with other afrotherian genomes reveals possible molecular adaptations to aquatic life by sirenians, including a shift in daily activity patterns (circadian clock) and tolerance to a high-iodine plant diet mediated through changes in the iodide transporter NIS (SLC5A5) and its co-transporters. Functional in vitro assays confirm that sirenian amino acid substitutions alter the properties of the circadian clock protein PER2 and NIS. Sirenians show evidence of convergent regression of integumentary system (skin and its appendages) genes with cetaceans. Our analysis also uncovers gene losses that may be maladaptive in a modern environment, including a candidate gene (KCNK18) for sirenian cold stress syndrome likely lost during their evolutionary shift in daily activity patterns. Genomes from nine Australian locations and the functionally extinct Okinawan population confirm and date a genetic break ~10.7 thousand years ago on the Australian east coast and provide evidence of an associated ecotype, and highlight the need for whole-genome resequencing data from dugong populations worldwide for conservation and genetic management.
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Affiliation(s)
- Ran Tian
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Yaolei Zhang
- BGI Research, Qingdao, 266555, China
- BGI Research, Shenzhen, 518083, China
- Qingdao Key Laboratory of Marine Genomics BGI Research, Qingdao, 266555, China
| | - Hui Kang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
- The Innovation Research Center for Aquatic Mammals, and Key Laboratory of Aquatic Biodiversity and Conservation of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Fan Zhang
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Zhihong Jin
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China
| | - Jiahao Wang
- BGI Research, Qingdao, 266555, China
- BGI Research, Shenzhen, 518083, China
| | - Peijun Zhang
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China
| | - Xuming Zhou
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- School of Life Sciences, University of Science and Technology of China, Hefei, 230027, China
| | - Janet M Lanyon
- School of the Environment, The University of Queensland, Lucia, 4072, Australia
| | - Helen L Sneath
- School of the Environment, The University of Queensland, Lucia, 4072, Australia
| | - Lucy Woolford
- School of Veterinary Sciences, The University of Adelaide, Roseworthy, 5371, Australia
| | - Guangyi Fan
- BGI Research, Qingdao, 266555, China.
- BGI Research, Shenzhen, 518083, China.
- Qingdao Key Laboratory of Marine Genomics BGI Research, Qingdao, 266555, China.
- State Key Laboratory of Agricultural Genomics, BGI Research, Shenzhen, 518083, China.
| | - Songhai Li
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China.
- The Innovation Research Center for Aquatic Mammals, and Key Laboratory of Aquatic Biodiversity and Conservation of the Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
| | - Inge Seim
- Integrative Biology Laboratory, Nanjing Normal University, Nanjing, 210023, China.
- Marine Mammal and Marine Bioacoustics Laboratory, Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya, 572000, China.
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5
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Wan JN, Wang SW, Leitch AR, Leitch IJ, Jian JB, Wu ZY, Xin HP, Rakotoarinivo M, Onjalalaina GE, Gituru RW, Dai C, Mwachala G, Bai MZ, Zhao CX, Wang HQ, Du SL, Wei N, Hu GW, Chen SC, Chen XY, Wan T, Wang QF. The rise of baobab trees in Madagascar. Nature 2024; 629:1091-1099. [PMID: 38750363 PMCID: PMC11136661 DOI: 10.1038/s41586-024-07447-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 04/19/2024] [Indexed: 05/30/2024]
Abstract
The baobab trees (genus Adansonia) have attracted tremendous attention because of their striking shape and distinctive relationships with fauna1. These spectacular trees have also influenced human culture, inspiring innumerable arts, folklore and traditions. Here we sequenced genomes of all eight extant baobab species and argue that Madagascar should be considered the centre of origin for the extant lineages, a key issue in their evolutionary history2,3. Integrated genomic and ecological analyses revealed the reticulate evolution of baobabs, which eventually led to the species diversity seen today. Past population dynamics of Malagasy baobabs may have been influenced by both interspecific competition and the geological history of the island, especially changes in local sea levels. We propose that further attention should be paid to the conservation status of Malagasy baobabs, especially of Adansonia suarezensis and Adansonia grandidieri, and that intensive monitoring of populations of Adansonia za is required, given its propensity for negatively impacting the critically endangered Adansonia perrieri.
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Affiliation(s)
- Jun-Nan Wan
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Sheng-Wei Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Andrew R Leitch
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | | | - Jian-Bo Jian
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | | | - Hai-Ping Xin
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | | | | | - Robert Wahiti Gituru
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
- Department of Botany, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Can Dai
- School of Resources and Environmental Science, Hubei University, Wuhan, China
| | | | - Ming-Zhou Bai
- BGI Genomics, BGI-Shenzhen, Shenzhen, China
- Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark
| | | | | | - Sheng-Lan Du
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
| | - Neng Wei
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Guang-Wan Hu
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Si-Chong Chen
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
| | - Xiao-Ya Chen
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China
- Shanghai Chenshan Botanical Garden, Shanghai, China
| | - Tao Wan
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China.
| | - Qing-Feng Wang
- State Key Laboratory of Plant Diversity and Specialty Crops, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China.
- Sino-Africa Joint Research Centre, Chinese Academy of Sciences, Wuhan, China.
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6
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Lammers Y, Taberlet P, Coissac E, Elliott LD, Merkel MF, Pitelkova I, Alsos IG. Multiplexing PCR allows the identification of within-species genetic diversity in ancient eDNA. Mol Ecol Resour 2024; 24:e13926. [PMID: 38189170 DOI: 10.1111/1755-0998.13926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 12/06/2023] [Accepted: 12/21/2023] [Indexed: 01/09/2024]
Abstract
Sedimentary ancient DNA (sedaDNA) has rarely been used to obtain population-level data due to either a lack of taxonomic resolution for the molecular method used, limitations in the reference material or inefficient methods. Here, we present the potential of multiplexing different PCR primers to retrieve population-level genetic data from sedaDNA samples. Vaccinium uliginosum (Ericaceae) is a widespread species with a circumpolar distribution and three lineages in present-day populations. We searched 18 plastid genomes for intraspecific variable regions and developed 61 primer sets to target these. Initial multiplex PCR testing resulted in a final set of 38 primer sets. These primer sets were used to analyse 20 lake sedaDNA samples (11,200 cal. yr BP to present) from five different localities in northern Norway, the Alps and the Polar Urals. All known V. uliginosum lineages in these regions and all primer sets could be recovered from the sedaDNA data. For each sample on average 28.1 primer sets, representing 34.15 sequence variants, were recovered. All sediment samples were dominated by a single lineage, except three Alpine samples which had co-occurrence of two different lineages. Furthermore, lineage turnover was observed in the Alps and northern Norway, suggesting that present-day phylogeographical studies may overlook past genetic patterns. Multiplexing primer is a promising tool for generating population-level genetic information from sedaDNA. The relatively simple method, combined with high sensitivity, provides a scalable method which will allow researchers to track populations through time and space using environmental DNA.
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Affiliation(s)
- Y Lammers
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
| | - P Taberlet
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - E Coissac
- Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - L D Elliott
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
| | - M F Merkel
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
| | - I Pitelkova
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
| | - I G Alsos
- The Arctic University Museum of Norway, UiT-The Arctic University of Norway, Tromsø, Norway
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7
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Kessler C, Shafer ABA. Genomic Analyses Capture the Human-Induced Demographic Collapse and Recovery in a Wide-Ranging Cervid. Mol Biol Evol 2024; 41:msae038. [PMID: 38378172 PMCID: PMC10917209 DOI: 10.1093/molbev/msae038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 02/08/2024] [Accepted: 02/14/2024] [Indexed: 02/22/2024] Open
Abstract
The glacial cycles of the Quaternary heavily impacted species through successions of population contractions and expansions. Similarly, populations have been intensely shaped by human pressures such as unregulated hunting and land use changes. White-tailed and mule deer survived in different refugia through the Last Glacial Maximum, and their populations were severely reduced after the European colonization. Here, we analyzed 73 resequenced deer genomes from across their North American range to understand the consequences of climatic and anthropogenic pressures on deer demographic and adaptive history. We found strong signals of climate-induced vicariance and demographic decline; notably, multiple sequentially Markovian coalescent recovers a severe decline in mainland white-tailed deer effective population size (Ne) at the end of the Last Glacial Maximum. We found robust evidence for colonial overharvest in the form of a recent and dramatic drop in Ne in all analyzed populations. Historical census size and restocking data show a clear parallel to historical Ne estimates, and temporal Ne/Nc ratio shows patterns of conservation concern for mule deer. Signatures of selection highlight genes related to temperature, including a cold receptor previously highlighted in woolly mammoth. We also detected immune genes that we surmise reflect the changing land use patterns in North America. Our study provides a detailed picture of anthropogenic and climatic-induced decline in deer diversity and clues to understanding the conservation concerns of mule deer and the successful demographic recovery of white-tailed deer.
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Affiliation(s)
- Camille Kessler
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Program, Trent University, Peterborough, Ontario, Canada
- Department of Forensic Science, Trent University, Peterborough, Ontario, Canada
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8
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Talavera A, Palmada-Flores M, Burriel-Carranza B, Valbuena-Ureña E, Mochales-Riaño G, Adams DC, Tejero-Cicuéndez H, Soler-Membrives A, Amat F, Guinart D, Carbonell F, Obon E, Marquès-Bonet T, Carranza S. Genomic insights into the Montseny brook newt ( Calotriton arnoldi), a Critically Endangered glacial relict. iScience 2024; 27:108665. [PMID: 38226169 PMCID: PMC10788218 DOI: 10.1016/j.isci.2023.108665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/09/2023] [Accepted: 12/05/2023] [Indexed: 01/17/2024] Open
Abstract
The Montseny brook newt (Calotriton arnoldi), considered the most endangered amphibian in Europe, is a relict salamandrid species endemic to a small massif located in northeastern Spain. Although conservation efforts should always be guided by genomic studies, those are yet scarce among urodeles, hampered by the extreme sizes of their genomes. Here, we present the third available genome assembly for the order Caudata, and the first genomic study of the species and its sister taxon, the Pyrenean brook newt (Calotriton asper), combining whole-genome and ddRADseq data. Our results reveal significant demographic oscillations which accurately mirrored Europe's climatic history. Although severe bottlenecks have led to depauperate genomic diversity and long runs of homozygosity along a gigantic genome, inbreeding might have been avoided by assortative mating strategies. Other life history traits, however, seem to have been less advantageous, and the lack of land dispersal has driven to exceptional levels of population fragmentation.
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Affiliation(s)
- Adrián Talavera
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Marc Palmada-Flores
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Bernat Burriel-Carranza
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- Museu de Ciències Naturals de Barcelona, Pº Picasso s/n, Parc Ciutadella, 08003 Barcelona, Spain
| | | | | | - Dean C. Adams
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50010, USA
| | - Héctor Tejero-Cicuéndez
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- Department of Biodiversity, Ecology and Evolution, Faculty of Biology, Universidad Complutense de Madrid, 28040 Madrid, Spain
| | - Anna Soler-Membrives
- Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Fèlix Amat
- Àrea d’Herpetologia, BiBIO, Museu de Granollers – Ciències Naturals. Palaudàries 102, Granollers, Barcelona, Spain
| | - Daniel Guinart
- Servei de Gestió de Parcs Naturals, Diputació de Barcelona, Spain
| | - Francesc Carbonell
- Centre de fauna salvatge de Torreferrussa (Forestal Catalana, SA), Santa Perpètua de Mogoda, Spain
| | - Elena Obon
- Centre de fauna salvatge de Torreferrussa (Forestal Catalana, SA), Santa Perpètua de Mogoda, Spain
| | - Tomàs Marquès-Bonet
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain
- Catalan Institution of Research and Advanced Studies (ICREA), Barcelona, Spain
| | - Salvador Carranza
- Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
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9
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Pečnerová P, Lord E, Garcia-Erill G, Hanghøj K, Rasmussen MS, Meisner J, Liu X, van der Valk T, Santander CG, Quinn L, Lin L, Liu S, Carøe C, Dalerum F, Götherström A, Måsviken J, Vartanyan S, Raundrup K, Al-Chaer A, Rasmussen L, Hvilsom C, Heide-Jørgensen MP, Sinding MHS, Aastrup P, Van Coeverden de Groot PJ, Schmidt NM, Albrechtsen A, Dalén L, Heller R, Moltke I, Siegismund HR. Population genomics of the muskox' resilience in the near absence of genetic variation. Mol Ecol 2024; 33:e17205. [PMID: 37971141 DOI: 10.1111/mec.17205] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 10/07/2023] [Accepted: 11/01/2023] [Indexed: 11/19/2023]
Abstract
Genomic studies of species threatened by extinction are providing crucial information about evolutionary mechanisms and genetic consequences of population declines and bottlenecks. However, to understand how species avoid the extinction vortex, insights can be drawn by studying species that thrive despite past declines. Here, we studied the population genomics of the muskox (Ovibos moschatus), an Ice Age relict that was at the brink of extinction for thousands of years at the end of the Pleistocene yet appears to be thriving today. We analysed 108 whole genomes, including present-day individuals representing the current native range of both muskox subspecies, the white-faced and the barren-ground muskox (O. moschatus wardi and O. moschatus moschatus) and a ~21,000-year-old ancient individual from Siberia. We found that the muskox' demographic history was profoundly shaped by past climate changes and post-glacial re-colonizations. In particular, the white-faced muskox has the lowest genome-wide heterozygosity recorded in an ungulate. Yet, there is no evidence of inbreeding depression in native muskox populations. We hypothesize that this can be explained by the effect of long-term gradual population declines that allowed for purging of strongly deleterious mutations. This study provides insights into how species with a history of population bottlenecks, small population sizes and low genetic diversity survive against all odds.
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Affiliation(s)
- Patrícia Pečnerová
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Copenhagen Zoo, Frederiksberg, Denmark
| | - Edana Lord
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Genís Garcia-Erill
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Kristian Hanghøj
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Malthe Sebro Rasmussen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Jonas Meisner
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Xiaodong Liu
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Tom van der Valk
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Cindy G Santander
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Liam Quinn
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Long Lin
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Shanlin Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing, China
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Christian Carøe
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Fredrik Dalerum
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Biodiversity Research Institute (CSIC-UO-PA), Mieres, Spain
- Department of Zoology and Entomology, Mammal Research Institute, University of Pretoria, Hatfield, South Africa
| | - Anders Götherström
- Centre for Palaeogenetics, Stockholm, Sweden
- Archaeological Research Laboratory, Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Johannes Måsviken
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Sergey Vartanyan
- North-East Interdisciplinary Scientific Research Institute N.A.N.A. Shilo, Russian Academy of Sciences, Magadan, Russia
| | | | - Amal Al-Chaer
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Linett Rasmussen
- Copenhagen Zoo, Frederiksberg, Denmark
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Mads Peter Heide-Jørgensen
- Greenland Institute of Natural Resources, Nuuk, Greenland
- Greenland Institute of Natural Resources, Copenhagen, Denmark
| | - Mikkel-Holger S Sinding
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Greenland Institute of Natural Resources, Nuuk, Greenland
| | - Peter Aastrup
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | | | - Niels Martin Schmidt
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
- Arctic Research Centre, Aarhus University, Aarhus, Denmark
| | - Anders Albrechtsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Rasmus Heller
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Ida Moltke
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Hans Redlef Siegismund
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen, Denmark
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10
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Kurland S, Saha A, Keehnen N, de la Paz Celorio-Mancera M, Díez-Del-Molino D, Ryman N, Laikre L. New indicators for monitoring genetic diversity applied to alpine brown trout populations using whole genome sequence data. Mol Ecol 2024; 33:e17213. [PMID: 38014725 DOI: 10.1111/mec.17213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 11/03/2023] [Accepted: 11/07/2023] [Indexed: 11/29/2023]
Abstract
International policy recently adopted commitments to maintain genetic diversity in wild populations to secure their adaptive potential, including metrics to monitor temporal trends in genetic diversity - so-called indicators. A national programme for assessing trends in genetic diversity was recently initiated in Sweden. Relating to this effort, we systematically assess contemporary genome-wide temporal trends (40 years) in wild populations using the newly adopted indicators and whole genome sequencing (WGS). We use pooled and individual WGS data from brown trout (Salmo trutta) in eight alpine lakes in protected areas. Observed temporal trends in diversity metrics (nucleotide diversity, Watterson's ϴ and heterozygosity) lie within proposed acceptable threshold values for six of the lakes, but with consistently low values in lakes above the tree line and declines observed in these northern-most lakes. Local effective population size is low in all lakes, highlighting the importance of continued protection of interconnected systems to allow genetic connectivity for long-term viability of these populations. Inbreeding (FROH ) spans 10%-30% and is mostly represented by ancient (<1 Mb) runs of homozygosity, with observations of little change in mutational load. We also investigate adaptive dynamics over evolutionarily short time frames (a few generations); identifying putative parallel selection across all lakes within a gene pertaining to skin pigmentation as well as candidates of selection unique to specific lakes and lake systems involved in reproduction and immunity. We demonstrate the utility of WGS for systematic monitoring of natural populations, a priority concern if genetic diversity is to be protected.
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Affiliation(s)
- Sara Kurland
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Earth Sciences, Natural Resources and Sustainable Development, Uppsala University, Uppsala, Sweden
| | - Atal Saha
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Centre for Coastal Research, Department of Natural Sciences, University of Agder, Kristiansand, Norway
| | - Naomi Keehnen
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Ecology, SLU, Uppsala, Sweden
| | | | - David Díez-Del-Molino
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Nils Ryman
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Linda Laikre
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
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11
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Lin AT, Hammond-Kaarremaa L, Liu HL, Stantis C, McKechnie I, Pavel M, Pavel SSM, Wyss SSÁ, Sparrow DQ, Carr K, Aninta SG, Perri A, Hartt J, Bergström A, Carmagnini A, Charlton S, Dalén L, Feuerborn TR, France CAM, Gopalakrishnan S, Grimes V, Harris A, Kavich G, Sacks BN, Sinding MHS, Skoglund P, Stanton DWG, Ostrander EA, Larson G, Armstrong CG, Frantz LAF, Hawkins MTR, Kistler L. The history of Coast Salish "woolly dogs" revealed by ancient genomics and Indigenous Knowledge. Science 2023; 382:1303-1308. [PMID: 38096292 PMCID: PMC7615573 DOI: 10.1126/science.adi6549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/25/2023] [Indexed: 12/18/2023]
Abstract
Ancestral Coast Salish societies in the Pacific Northwest kept long-haired "woolly dogs" that were bred and cared for over millennia. However, the dog wool-weaving tradition declined during the 19th century, and the population was lost. In this study, we analyzed genomic and isotopic data from a preserved woolly dog pelt from "Mutton," collected in 1859. Mutton is the only known example of an Indigenous North American dog with dominant precolonial ancestry postdating the onset of settler colonialism. We identified candidate genetic variants potentially linked with their distinct woolly phenotype. We integrated these data with interviews from Coast Salish Elders, Knowledge Keepers, and weavers about shared traditional knowledge and memories surrounding woolly dogs, their importance within Coast Salish societies, and how colonial policies led directly to their disappearance.
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Affiliation(s)
- Audrey T Lin
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
- Richard Gilder Graduate School, American Museum of Natural History, New York, NY, USA
| | - Liz Hammond-Kaarremaa
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
- Vancouver Island University, Nanaimo, BC, Canada
| | - Hsiao-Lei Liu
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Chris Stantis
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
- Department of Geology and Geophysics, University of Utah, Salt Lake City, UT, USA
| | - Iain McKechnie
- Department of Anthropology, University of Victoria, Victoria, BC, Canada
| | - Michael Pavel
- Twana/Skokomish Indian Tribe, Skokomish Nation, WA, USA
| | - Susan sa'hLa mitSa Pavel
- Twana/Skokomish Indian Tribe, Skokomish Nation, WA, USA
- Coast Salish Wool Weaving Center, Skokomish Nation, WA, USA
- The Evergreen State College, Olympia, WA, USA
| | | | | | | | - Sabhrina Gita Aninta
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Angela Perri
- Department of Anthropology, Texas A&M University, College Station, TX, USA
- Chronicle Heritage, Phoenix, AZ, USA
| | - Jonathan Hartt
- Department of Indigenous Studies, Simon Fraser University, Burnaby, BC, Canada
| | - Anders Bergström
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
- School of Biological Sciences, University of East Anglia, Norwich, UK
| | - Alberto Carmagnini
- Palaeogenomics Group, Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, Ludwig-Maximilians-Universität, Munich, Germany
| | - Sophy Charlton
- PalaeoBARN, School of Archaeology, University of Oxford, Oxford, UK
- BioArCh, Department of Archaeology, University of York, York, UK
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Zoology, Stockholm University, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Tatiana R Feuerborn
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Shyam Gopalakrishnan
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Vaughan Grimes
- Department of Archaeology, Memorial University of Newfoundland, St. Johns, NL, Canada
| | - Alex Harris
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Gwénaëlle Kavich
- Museum Conservation Institute, Smithsonian Institution, Suitland, MD, USA
| | - Benjamin N Sacks
- Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, CA, USA
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, USA
| | | | - Pontus Skoglund
- Ancient Genomics Laboratory, The Francis Crick Institute, London, UK
| | - David W G Stanton
- Palaeogenomics Group, Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, Ludwig-Maximilians-Universität, Munich, Germany
- Cardiff School of Biosciences, Cardiff University, Cardiff, UK
| | - Elaine A Ostrander
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Greger Larson
- PalaeoBARN, School of Archaeology, University of Oxford, Oxford, UK
| | - Chelsey G Armstrong
- Department of Indigenous Studies, Simon Fraser University, Burnaby, BC, Canada
| | - Laurent A F Frantz
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
- Palaeogenomics Group, Institute of Palaeoanatomy, Domestication Research and the History of Veterinary Medicine, Ludwig-Maximilians-Universität, Munich, Germany
| | - Melissa T R Hawkins
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Logan Kistler
- Department of Anthropology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
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12
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Panitsina VA, Bodrov SY, Boulygina ES, Slobodova NV, Kosintsev PA, Abramson NI. In Search of the Elusive North: Evolutionary History of the Arctic Fox ( Vulpes lagopus) in the Palearctic from the Late Pleistocene to the Recent Inferred from Mitogenomic Data. BIOLOGY 2023; 12:1517. [PMID: 38132343 PMCID: PMC10740874 DOI: 10.3390/biology12121517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/07/2023] [Accepted: 12/09/2023] [Indexed: 12/23/2023]
Abstract
Despite the high level of interest, the population history of arctic foxes during the Late Pleistocene and Holocene remains poorly understood. Here we aimed to fill gaps in the demographic and colonization history of the arctic fox by analyzing new ancient DNA data from fossil specimens aged from 50 to 1 thousand years from the Northern and Polar Urals, historic DNA from museum specimens from the Novaya Zemlya Archipelago and the Taymyr Peninsula and supplementing these data by previously published sequences of recent and extinct arctic foxes from other regions. This dataset was used for reconstruction of a time-calibrated phylogeny and a temporal haplotype network covering four time intervals: Late Pleistocene (ranging from 30 to 13 thousand years bp), Holocene (ranging from 4 to 1 thousand years bp), historical (approximately 150 years), and modern. Our results revealed that Late Pleistocene specimens showed no genetic similarity to either modern or historical specimens, thus supporting the earlier hypothesis on local extinction rather than habitat tracking.
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Affiliation(s)
- Valentina A. Panitsina
- Zoological Institute, Russian Academy of Sciences, 199034 Saint-Petersburg, Russia; (V.A.P.); (S.Y.B.)
| | - Semyon Yu. Bodrov
- Zoological Institute, Russian Academy of Sciences, 199034 Saint-Petersburg, Russia; (V.A.P.); (S.Y.B.)
| | | | | | - Pavel A. Kosintsev
- Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences, 620144 Yekaterinburg, Russia
| | - Natalia I. Abramson
- Zoological Institute, Russian Academy of Sciences, 199034 Saint-Petersburg, Russia; (V.A.P.); (S.Y.B.)
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13
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Arana A, Esteves J, Ramírez R, Galetti PM, Pérez Z J, Ramirez JL. Population genomics reveals how 5 ka of human occupancy led the Lima leaf-toed gecko (Phyllodactylus sentosus) to the brink of extinction. Sci Rep 2023; 13:18465. [PMID: 37891335 PMCID: PMC10611785 DOI: 10.1038/s41598-023-45715-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Accepted: 10/23/2023] [Indexed: 10/29/2023] Open
Abstract
Small species with high home fidelity, high ecological specialization or low vagility are particularly prone to suffer from habitat modification and fragmentation. The Lima leaf-toed gecko (Phyllodactylus sentosus) is a critically endangered Peruvian species that shelters mostly in pre-Incan archeological areas called huacas, where the original environmental conditions are maintained. We used genotyping by sequencing to understand the population genomic history of P. sentosus. We found low genetic diversity (He 0.0406-0.134 and nucleotide diversity 0.0812-0.145) and deviations of the observed heterozygosity relative to the expected heterozygosity in some populations (Fis - 0.0202 to 0.0187). In all analyses, a clear population structuring was observed that cannot be explained by isolation by distance alone. Also, low levels of historical gene flow were observed between most populations, which decreased as shown in contemporary migration rate analysis. Demographic inference suggests these populations experienced bottleneck events during the last 5 ka. These results indicate that habitat modification since pre-Incan civilizations severely affected these populations, which currently face even more drastic urbanization threats. Finally, our predictions show that this species could become extinct in a decade without further intervention, which calls for urgent conservation actions being undertaken.
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Affiliation(s)
- Alejandra Arana
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Juan Esteves
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Rina Ramírez
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Pedro M Galetti
- Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, 13565-905, Brazil
| | - José Pérez Z
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru
| | - Jorge L Ramirez
- Facultad de Ciencias Biológicas, Universidad Nacional Mayor de San Marcos, Lima, Peru.
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14
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Heighton SP, Allio R, Murienne J, Salmona J, Meng H, Scornavacca C, Bastos ADS, Njiokou F, Pietersen DW, Tilak MK, Luo SJ, Delsuc F, Gaubert P. Pangolin Genomes Offer Key Insights and Resources for the World's Most Trafficked Wild Mammals. Mol Biol Evol 2023; 40:msad190. [PMID: 37794645 PMCID: PMC10551234 DOI: 10.1093/molbev/msad190] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023] Open
Abstract
Pangolins form a group of scaly mammals that are trafficked at record numbers for their meat and purported medicinal properties. Despite their conservation concern, knowledge of their evolution is limited by a paucity of genomic data. We aim to produce exhaustive genomic resources that include 3,238 orthologous genes and whole-genome polymorphisms to assess the evolution of all eight extant pangolin species. Robust orthologous gene-based phylogenies recovered the monophyly of the three genera and highlighted the existence of an undescribed species closely related to Southeast Asian pangolins. Signatures of middle Miocene admixture between an extinct, possibly European, lineage and the ancestor of Southeast Asian pangolins, provide new insights into the early evolutionary history of the group. Demographic trajectories and genome-wide heterozygosity estimates revealed contrasts between continental versus island populations and species lineages, suggesting that conservation planning should consider intraspecific patterns. With the expected loss of genomic diversity from recent, extensive trafficking not yet realized in pangolins, we recommend that populations be genetically surveyed to anticipate any deleterious impact of the illegal trade. Finally, we produce a complete set of genomic resources that will be integral for future conservation management and forensic endeavors for pangolins, including tracing their illegal trade. These comprise the completion of whole-genomes for pangolins through the hybrid assembly of the first reference genome for the giant pangolin (Smutsia gigantea) and new draft genomes (∼43x-77x) for four additional species, as well as a database of orthologous genes with over 3.4 million polymorphic sites.
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Affiliation(s)
- Sean P Heighton
- Laboratoire Evolution et Diversité Biologique (EDB)— IRD-UPS-CNRS, Université Toulouse III, Toulouse, France
| | - Rémi Allio
- Institut des Sciences de l'Évolution de Montpellier (ISEM), Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Jérôme Murienne
- Laboratoire Evolution et Diversité Biologique (EDB)— IRD-UPS-CNRS, Université Toulouse III, Toulouse, France
| | - Jordi Salmona
- Laboratoire Evolution et Diversité Biologique (EDB)— IRD-UPS-CNRS, Université Toulouse III, Toulouse, France
| | - Hao Meng
- The State Key Laboratory of Protein and Plant Gene Research of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Céline Scornavacca
- Institut des Sciences de l'Évolution de Montpellier (ISEM), Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Armanda D S Bastos
- Mammal Research Institute, Department of Zoology & Entomology, University of Pretoria, Pretoria, South Africa
| | - Flobert Njiokou
- Laboratoire de Parasitologie et Ecologie, Faculté des Sciences, Université de Yaoundé I, Yaoundé, Cameroon
| | - Darren W Pietersen
- Mammal Research Institute, Department of Zoology & Entomology, University of Pretoria, Pretoria, South Africa
| | - Marie-Ka Tilak
- Institut des Sciences de l'Évolution de Montpellier (ISEM), Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Shu-Jin Luo
- The State Key Laboratory of Protein and Plant Gene Research of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China
| | - Frédéric Delsuc
- Institut des Sciences de l'Évolution de Montpellier (ISEM), Université de Montpellier, CNRS, IRD, Montpellier, France
| | - Philippe Gaubert
- Laboratoire Evolution et Diversité Biologique (EDB)— IRD-UPS-CNRS, Université Toulouse III, Toulouse, France
- CIIMAR/CIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade 16 do Porto, Terminal de Cruzeiros do Porto de Leixões, Porto, Portugal
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15
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Umu SU, Paynter VM, Trondsen H, Buschmann T, Rounge TB, Peterson KJ, Fromm B. Accurate microRNA annotation of animal genomes using trained covariance models of curated microRNA complements in MirMachine. CELL GENOMICS 2023; 3:100348. [PMID: 37601971 PMCID: PMC10435380 DOI: 10.1016/j.xgen.2023.100348] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 03/15/2023] [Accepted: 05/26/2023] [Indexed: 08/22/2023]
Abstract
The annotation of microRNAs depends on the availability of transcriptomics data and expert knowledge. This has led to a gap between the availability of novel genomes and high-quality microRNA complements. Using >16,000 microRNAs from the manually curated microRNA gene database MirGeneDB, we generated trained covariance models for all conserved microRNA families. These models are available in our tool MirMachine, which annotates conserved microRNAs within genomes. We successfully applied MirMachine to a range of animal species, including those with large genomes and genome duplications and extinct species, where small RNA sequencing is hard to achieve. We further describe a microRNA score of expected microRNAs that can be used to assess the completeness of genome assemblies. MirMachine closes a long-persisting gap in the microRNA field by facilitating automated genome annotation pipelines and deeper studies into the evolution of genome regulation, even in extinct organisms.
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Affiliation(s)
- Sinan Uğur Umu
- Department of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vanessa M. Paynter
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Tromsø, Norway
| | - Håvard Trondsen
- Department of Pathology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Trine B. Rounge
- Department of Research, Cancer Registry of Norway, Oslo, Norway
- Centre for Bioinformatics, Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Kevin J. Peterson
- Department of Biological Sciences, Dartmouth College, Hanover, NH, USA
| | - Bastian Fromm
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, Tromsø, Norway
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16
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Mármol-Sánchez E, Fromm B, Oskolkov N, Pochon Z, Kalogeropoulos P, Eriksson E, Biryukova I, Sekar V, Ersmark E, Andersson B, Dalén L, Friedländer MR. Historical RNA expression profiles from the extinct Tasmanian tiger. Genome Res 2023; 33:1299-1316. [PMID: 37463752 PMCID: PMC10552650 DOI: 10.1101/gr.277663.123] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/27/2023] [Indexed: 07/20/2023]
Abstract
Paleogenomics continues to yield valuable insights into the evolution, population dynamics, and ecology of our ancestors and other extinct species. However, DNA sequencing cannot reveal tissue-specific gene expression, cellular identity, or gene regulation, which are only attainable at the transcriptional level. Pioneering studies have shown that useful RNA can be extracted from ancient specimens preserved in permafrost and historical skins from extant canids, but no attempts have been made so far on extinct species. We extract, sequence, and analyze historical RNA from muscle and skin tissue of a ∼130-year-old Tasmanian tiger (Thylacinus cynocephalus) preserved in desiccation at room temperature in a museum collection. The transcriptional profiles closely resemble those of extant species, revealing specific anatomical features such as slow muscle fibers or blood infiltration. Metatranscriptomic analysis, RNA damage, tissue-specific RNA profiles, and expression hotspots genome-wide further confirm the thylacine origin of the sequences. RNA sequences are used to improve protein-coding and noncoding annotations, evidencing missing exonic loci and the location of ribosomal RNA genes while increasing the number of annotated thylacine microRNAs from 62 to 325. We discover a thylacine-specific microRNA isoform that could not have been confirmed without RNA evidence. Finally, we detect traces of RNA viruses, suggesting the possibility of profiling viral evolution. Our results represent the first successful attempt to obtain transcriptional profiles from an extinct animal species, providing thought-to-be-lost information on gene expression dynamics. These findings hold promising implications for the study of RNA molecules across the vast collections of natural history museums and from well-preserved permafrost remains.
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Affiliation(s)
- Emilio Mármol-Sánchez
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden;
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
| | - Bastian Fromm
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
- The Arctic University Museum of Norway, UiT - The Arctic University of Norway, 9006 Tromsø, Norway
| | - Nikolay Oskolkov
- Department of Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund University, 223 62 Lund, Sweden
| | - Zoé Pochon
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, 106 91 Stockholm, Sweden
| | - Panagiotis Kalogeropoulos
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Eli Eriksson
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Inna Biryukova
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Vaishnovi Sekar
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden
| | - Erik Ersmark
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 104 05 Stockholm, Sweden
| | - Björn Andersson
- Department of Cell and Molecular Biology (CMB), Karolinska Institute, 171 77 Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, 106 91 Stockholm, Sweden;
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 104 05 Stockholm, Sweden
- Department of Zoology, Stockholm University, 106 91 Stockholm, Sweden
| | - Marc R Friedländer
- Department of Molecular Biosciences, The Wenner-Gren Institute, Science for Life Laboratory, Stockholm University, 114 18 Stockholm, Sweden;
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17
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Luo H, Jiang X, Li B, Wu J, Shen J, Xu Z, Zhou X, Hou M, Huang Z, Ou X, Xu L. A high-quality genome assembly highlights the evolutionary history of the great bustard (Otis tarda, Otidiformes). Commun Biol 2023; 6:746. [PMID: 37463976 PMCID: PMC10354230 DOI: 10.1038/s42003-023-05137-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 07/11/2023] [Indexed: 07/20/2023] Open
Abstract
Conservation genomics often relies on non-invasive methods to obtain DNA fragments which limit the power of multi-omic analyses for threatened species. Here, we report multi-omic analyses based on a well-preserved great bustard individual (Otis tarda, Otidiformes) that was found dead in the mountainous region in Gansu, China. We generate a near-complete genome assembly containing only 18 gaps scattering in 8 out of the 40 assembled chromosomes. We characterize the DNA methylation landscape which is correlated with GC content and gene expression. Our phylogenomic analysis suggests Otidiformes and Musophagiformes are sister groups that diverged from each other 46.3 million years ago. The genetic diversity of great bustard is found the lowest among the four available Otidiformes genomes, possibly due to population declines during past glacial periods. As one of the heaviest migratory birds, great bustard possesses several expanded gene families related to cardiac contraction, actin contraction, calcium ion signaling transduction, as well as positively selected genes enriched for metabolism. Finally, we identify an extremely young evolutionary stratum on the sex chromosome, a rare case among birds. Together, our study provides insights into the conservation genomics, adaption and chromosome evolution of the great bustard.
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Affiliation(s)
- Haoran Luo
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
- Key Laboratory of Ministry of Education for the Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Xinrui Jiang
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Boping Li
- Gansu Key Laboratory of Protection and Utilization for Biological Resources and Ecological Restoration, Longdong University, Qingyang, Gansu Province, 745000, China
| | - Jiahong Wu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Jiexin Shen
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China
| | - Zaoxu Xu
- Gansu Key Laboratory of Protection and Utilization for Biological Resources and Ecological Restoration, Longdong University, Qingyang, Gansu Province, 745000, China
| | - Xiaoping Zhou
- Key Laboratory of Ministry of Education for the Coastal and Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Minghao Hou
- Gansu Key Laboratory of Protection and Utilization for Biological Resources and Ecological Restoration, Longdong University, Qingyang, Gansu Province, 745000, China
| | - Zhen Huang
- Fujian-Macao Science and Technology Cooperation Base of Traditional Chinese Medicine-Oriented Chronic Disease Prevention and Treatment, Innovation and Transformation Center, Fujian University of Traditional Chinese Medicine, Fuzhou, 350108, China.
- Fujian Key Laboratory of Developmental and Neural Biology, College of Life Sciences, Fujian Normal University, Fuzhou, 350117, China.
| | - Xiaobin Ou
- Gansu Key Laboratory of Protection and Utilization for Biological Resources and Ecological Restoration, Longdong University, Qingyang, Gansu Province, 745000, China.
| | - Luohao Xu
- MOE Key Laboratory of Freshwater Fish Reproduction and Development, Key Laboratory of Aquatic Science of Chongqing, School of Life Sciences, Southwest University, Chongqing, 400715, China.
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18
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Díez-Del-Molino D, Dehasque M, Chacón-Duque JC, Pečnerová P, Tikhonov A, Protopopov A, Plotnikov V, Kanellidou F, Nikolskiy P, Mortensen P, Danilov GK, Vartanyan S, Gilbert MTP, Lister AM, Heintzman PD, van der Valk T, Dalén L. Genomics of adaptive evolution in the woolly mammoth. Curr Biol 2023; 33:1753-1764.e4. [PMID: 37030294 DOI: 10.1016/j.cub.2023.03.084] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 02/24/2023] [Accepted: 03/29/2023] [Indexed: 04/10/2023]
Abstract
Ancient genomes provide a tool to investigate the genetic basis of adaptations in extinct organisms. However, the identification of species-specific fixed genetic variants requires the analysis of genomes from multiple individuals. Moreover, the long-term scale of adaptive evolution coupled with the short-term nature of traditional time series data has made it difficult to assess when different adaptations evolved. Here, we analyze 23 woolly mammoth genomes, including one of the oldest known specimens at 700,000 years old, to identify fixed derived non-synonymous mutations unique to the species and to obtain estimates of when these mutations evolved. We find that at the time of its origin, the woolly mammoth had already acquired a broad spectrum of positively selected genes, including ones associated with hair and skin development, fat storage and metabolism, and immune system function. Our results also suggest that these phenotypes continued to evolve during the last 700,000 years, but through positive selection on different sets of genes. Finally, we also identify additional genes that underwent comparatively recent positive selection, including multiple genes related to skeletal morphology and body size, as well as one gene that may have contributed to the small ear size in Late Quaternary woolly mammoths.
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Affiliation(s)
- David Díez-Del-Molino
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden.
| | - Marianne Dehasque
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden
| | - J Camilo Chacón-Duque
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Archaeology and Classical Studies, Stockholm University, 10691 Stockholm, Sweden
| | - Patrícia Pečnerová
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden; Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Alexei Tikhonov
- Zoological Institute of the Russian Academy of Sciences, 190121 Saint Petersburg, Russia
| | | | | | - Foteini Kanellidou
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Microbiology, Tumor and Cell Biology, Clinical Genomics Facility, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Pavel Nikolskiy
- Geological Institute, Russian Academy of Sciences, 119017 Moscow, Russia
| | - Peter Mortensen
- Department of Zoology, Swedish Museum of Natural History, 10405 Stockholm, Sweden
| | - Gleb K Danilov
- Peter the Great Museum of Anthropology and Ethnography, Kunstkamera, Russian Academy of Sciences, 199034 Saint-Petersburg, Russia
| | - Sergey Vartanyan
- North-East Interdisciplinary Scientific Research Institute N.A. Shilo, Far East Branch, Russian Academy of Sciences (NEISRI FEB RAS), 685000 Magadan, Russia
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, GLOBE Institute, Faculty of Health and Medical Sciences, 1353 Copenhagen, Denmark; University Museum NTNU, 7012 Trondheim, Norway
| | | | - Peter D Heintzman
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Geological Sciences, Stockholm University, 11418 Stockholm, Sweden
| | - Tom van der Valk
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden; Science for Life Laboratory, 17165 Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, 10691 Stockholm, Sweden; Department of Zoology, Stockholm University, 10691 Stockholm, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 10405 Stockholm, Sweden.
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19
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Subramanian S, Kumar M. Genomic footprints of bottleneck in landlocked salmon population. Sci Rep 2023; 13:6706. [PMID: 37185620 PMCID: PMC10130149 DOI: 10.1038/s41598-023-34076-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 04/24/2023] [Indexed: 05/17/2023] Open
Abstract
At the end of the last ice age, several Atlantic salmon populations got caught up in the lakes and ponds of the Northern Hemisphere. Occasionally, the populations also got locked when the flow of rivers terminated from reaching the sea due to land upheaval. Therefore, the pattern of evolution shaping the landlocked salmon populations is different from the other anadromous salmons, which migrate between the sea and rivers. According to the theories of population genetics, the effect of genetic drift is expected to be more pronounced in the former compared to the latter. Here we examined this using the whole genome data of landlocked and anadromous salmon populations of Norway. Our results showed a 50-80% reduction in the genomic heterozygosity in the landlocked compared to anadromous salmon populations. The number and total size of the runs of homozygosity (RoH) segments of landlocked salmons were two to eightfold higher than those of their anadromous counterparts. We found the former had a higher ratio of nonsynonymous-to-synonymous diversities than the latter. The investigation also revealed a significant elevation of homozygous deleterious Single Nucleotide Variants (SNVs) in the landlocked salmon compared to the anadromous populations. All these results point to a significant reduction in the population size of the landlocked salmons. This process of reduction might have started recently as the phylogeny revealed a recent separation of the landlocked from the anadromous population. Previous studies on terrestrial vertebrates observed similar signatures of a bottleneck when the populations from Island and the mainland were compared. Since landlocked waterbody such as ponds and lakes are geographically analogous to Islands for fish populations, the findings of this study suggest the similarity in the patterns of evolution between the two.
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Affiliation(s)
- Sankar Subramanian
- Centre for Bioinnovation, School of Science, Technology, and Engineering, The University of the Sunshine Coast, 1 Moreton Parade, Petrie, Moreton Bay, QLD, 4502, Australia.
| | - Manoharan Kumar
- Centre for Bioinnovation, School of Science, Technology, and Engineering, The University of the Sunshine Coast, 1 Moreton Parade, Petrie, Moreton Bay, QLD, 4502, Australia
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20
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Sun XY, Yuan JJ, Dong ZE. Small population of the largest water strider after the late Pleistocene and the implications for its conservation. Gene 2023; 859:147219. [PMID: 36702394 DOI: 10.1016/j.gene.2023.147219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 01/10/2023] [Accepted: 01/19/2023] [Indexed: 01/24/2023]
Abstract
Climate oscillation and its synergistic impacts on habitat fragmentation have been identified as threatening the survival of some extant species. However, the mechanisms by which semi-aquatic insects impacted by such events remain poorly understood. Herein, we studied the largest water strider in the world, Gigantometra gigas, to explore the effect of these two factors on its evolutionary history. The sequences of mitogenomic and nrDNA cluster were utilized to reconstruct phylogenetic relationship among G. gigas populations and its demographic history. Mitochondrial genes were separately reconstructed topologies of that populations and detected remarkable differences. We found that G. gigas populations conform to the isolation-by-distance model, and decline occurred at about 120 ka, which was probably influenced by the climate change during the late Pleistocene and eventually maintained a small effective population size (Ne) around 85,717. The populations in Guangdong Province of China are worthy of note in that they exhibit low genetic diversity, a small Ne around 18,899 individuals, and occupy an area with little suitable future habitat for G. gigas. This work recommends that conservation efforts are implemented to ensure the long-term survival of small G. gigas populations, and notes that further evaluation of their extinction risk under the impacts of human activities is required.
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Affiliation(s)
- Xiao-Ya Sun
- Tianjin Key Laboratory of Conservation and Utilization of Animal Diversity, Tianjin Normal University, Tianjin 300387, China; Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin 300387, China.
| | - Juan-Juan Yuan
- College of Life Sciences, Zaozhuang University, Shandong 277160, China
| | - Zhuo-Er Dong
- Tsinghua-Peking Joint Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China
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21
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Dalal V, Pasupuleti N, Chaubey G, Rai N, Shinde V. Advancements and Challenges in Ancient DNA Research: Bridging the Global North-South Divide. Genes (Basel) 2023; 14:479. [PMID: 36833406 PMCID: PMC9956214 DOI: 10.3390/genes14020479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/02/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023] Open
Abstract
Ancient DNA (aDNA) research first began in 1984 and ever since has greatly expanded our understanding of evolution and migration. Today, aDNA analysis is used to solve various puzzles about the origin of mankind, migration patterns, and the spread of infectious diseases. The incredible findings ranging from identifying the new branches within the human family to studying the genomes of extinct flora and fauna have caught the world by surprise in recent times. However, a closer look at these published results points out a clear Global North and Global South divide. Therefore, through this research, we aim to emphasize encouraging better collaborative opportunities and technology transfer to support researchers in the Global South. Further, the present research also focuses on expanding the scope of the ongoing conversation in the field of aDNA by reporting relevant literature published around the world and discussing the advancements and challenges in the field.
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Affiliation(s)
- Vasundhra Dalal
- Centre for Cellular and Molecular Biology, Hyderabad 500007, Telangana, India
| | | | - Gyaneshwer Chaubey
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
| | - Niraj Rai
- Ancient DNA Lab, Birbal Sahni Institute of Palaeosciences, Lucknow 226007, Uttar Pradesh, India
| | - Vasant Shinde
- Centre for Cellular and Molecular Biology, Hyderabad 500007, Telangana, India
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22
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Danielewski M, Żuraszek J, Zielińska A, Herzig KH, Słomski R, Walkowiak J, Wielgus K. Methodological Changes in the Field of Paleogenetics. Genes (Basel) 2023; 14:genes14010234. [PMID: 36672975 PMCID: PMC9859346 DOI: 10.3390/genes14010234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Revised: 01/07/2023] [Accepted: 01/11/2023] [Indexed: 01/17/2023] Open
Abstract
Paleogenetics has significantly changed since its inception almost forty years ago. Initially, molecular techniques available to the researchers offered minimal possibilities for ancient DNA analysis. The subsequent expansion of the scientific tool cabinet allowed for more remarkable achievements, combined has with the newfound popularity of this budding field of science. Finally, a breakthrough was made with the development of next-generation sequencing (NGS) technologies and the update of DNA isolation protocols, through which even very fragmented aDNA samples could be used to sequence whole genomes. In this paper, we review the achievements made thus far and compare the methodologies utilized in this field of science, discussing their benefits and challenges.
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Affiliation(s)
- Mikołaj Danielewski
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
| | - Joanna Żuraszek
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479 Poznan, Poland
| | - Aleksandra Zielińska
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479 Poznan, Poland
| | - Karl-Heinz Herzig
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
- Research Unit of Biomedicine, Faculty of Medicine, University of Oulu, Medical Research Center, Oulu University Hospital, P.O. Box 5000, FIN-90014 Oulu, Finland
- Correspondence: (K.-H.H.); (K.W.)
| | - Ryszard Słomski
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479 Poznan, Poland
| | - Jarosław Walkowiak
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
| | - Karolina Wielgus
- Department of Pediatric Gastroenterology and Metabolic Diseases, Poznan University of Medical Sciences, Szpitalna 27/33, 60-572 Poznan, Poland
- Correspondence: (K.-H.H.); (K.W.)
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23
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Dedato MN, Robert C, Taillon J, Shafer ABA, Côté SD. Demographic history and conservation genomics of caribou ( Rangifer tarandus) in Québec. Evol Appl 2022; 15:2043-2053. [PMID: 36540642 PMCID: PMC9753816 DOI: 10.1111/eva.13495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Revised: 08/31/2022] [Accepted: 10/06/2022] [Indexed: 08/04/2023] Open
Abstract
The loss of genetic diversity is a challenge many species are facing, with genomics being a potential tool to inform and prioritize decision-making. Most caribou (Rangifer tarandus) populations have experienced significant recent declines throughout Québec, Canada, and are considered of concern, threatened or endangered. Here, we calculated the ancestral and contemporary patterns of genomic diversity of five representative caribou populations and applied a comparative population genomics framework to assess the interplay between demographic events and genomic diversity. We first calculated a caribou specific mutation rate, μ, by extracting orthologous genes from related ungulates and estimating the rate of synonymous mutations. Whole genome re-sequencing was then completed on 67 caribou: from these data we calculated nucleotide diversity, θ π and estimated the coalescent or ancestral effective population size (N e), which ranged from 12,030 to 15,513. When compared to the census size, N C, the endangered Gaspésie Mountain caribou population had the highest ancestral N e:N C ratio which is consistent with recent work suggesting high ancestral N e:N C is of conservation concern. In contrast, values of contemporary N e, estimated from linkage-disequilibrium, ranged from 11 to 162, with Gaspésie having among the highest contemporary N e:N C ratio. Importantly, classic conservation genetics theory would predict this population to be of less concern based on this ratio. Interestingly, F varied only slightly between populations, and despite evidence of bottlenecks across the province, runs of homozygosity were not abundant in the genome. Tajima's D estimates mirrored the demographic models and current conservation status. Our study highlights how genomic patterns are nuanced and potentially misleading if viewed only through a contemporary lens; we argue a holistic conservation genomics view should integrate ancestral N e and Tajima's D into management decisions.
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Affiliation(s)
- Morgan N. Dedato
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughOntarioCanada
| | - Claude Robert
- Département des Sciences AnimalesUniversité LavalQuébecQuébecCanada
| | - Joëlle Taillon
- Direction de l'expertise sur la Faune Terrestre, l'herpétofaune et l'avifaune, Ministère des Forêts, de la faune et des parcsGouvernement du QuébecQuébecQuébecCanada
| | - Aaron B. A. Shafer
- Environmental and Life Sciences Graduate ProgramTrent UniversityPeterboroughOntarioCanada
- Forensics DepartmentTrent UniversityPeterboroughOntarioCanada
| | - Steeve D. Côté
- Département de Biologie, Caribou Ungava and Centre d'Études NordiquesUniversité LavalQuébecQuébecCanada
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24
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Cockerill CA, Hasselgren M, Dussex N, Dalén L, von Seth J, Angerbjörn A, Wallén JF, Landa A, Eide NE, Flagstad Ø, Ehrich D, Sokolov A, Sokolova N, Norén K. Genomic Consequences of Fragmentation in the Endangered Fennoscandian Arctic Fox ( Vulpes lagopus). Genes (Basel) 2022; 13:2124. [PMID: 36421799 PMCID: PMC9690288 DOI: 10.3390/genes13112124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/06/2022] [Accepted: 10/10/2022] [Indexed: 11/17/2022] Open
Abstract
Accelerating climate change is causing severe habitat fragmentation in the Arctic, threatening the persistence of many cold-adapted species. The Scandinavian arctic fox (Vulpes lagopus) is highly fragmented, with a once continuous, circumpolar distribution, it struggled to recover from a demographic bottleneck in the late 19th century. The future persistence of the entire Scandinavian population is highly dependent on the northernmost Fennoscandian subpopulations (Scandinavia and the Kola Peninsula), to provide a link to the viable Siberian population. By analyzing 43 arctic fox genomes, we quantified genomic variation and inbreeding in these populations. Signatures of genome erosion increased from Siberia to northern Sweden indicating a stepping-stone model of connectivity. In northern Fennoscandia, runs of homozygosity (ROH) were on average ~1.47-fold longer than ROH found in Siberia, stretching almost entire scaffolds. Moreover, consistent with recent inbreeding, northern Fennoscandia harbored more homozygous deleterious mutations, whereas Siberia had more in heterozygous state. This study underlines the value of documenting genome erosion following population fragmentation to identify areas requiring conservation priority. With the increasing fragmentation and isolation of Arctic habitats due to global warming, understanding the genomic and demographic consequences is vital for maintaining evolutionary potential and preventing local extinctions.
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Affiliation(s)
| | - Malin Hasselgren
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Nicolas Dussex
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 11418 Stockholm, Sweden
| | - Love Dalén
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, 11418 Stockholm, Sweden
| | - Johanna von Seth
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
| | - Anders Angerbjörn
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Johan F. Wallén
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Arild Landa
- Norwegian Institute for Nature Research, 7485 Trondheim, Norway
| | - Nina E. Eide
- Norwegian Institute for Nature Research, 7485 Trondheim, Norway
| | | | - Dorothee Ehrich
- Department of Arctic and Marine Biology, UiT Arctic University of Tromsø, 9037 Tromsø, Norway
| | - Aleksandr Sokolov
- Arctic Research Station of Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences, Zelenaya Gorka Str. 21, 629400 Labytnangi, Russia
| | - Natalya Sokolova
- Arctic Research Station of Institute of Plant and Animal Ecology, Ural Branch, Russian Academy of Sciences, Zelenaya Gorka Str. 21, 629400 Labytnangi, Russia
| | - Karin Norén
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
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25
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Tian D, Patton AH, Turner BJ, Martin CH. Severe inbreeding, increased mutation load and gene loss-of-function in the critically endangered Devils Hole pupfish. Proc Biol Sci 2022; 289:20221561. [PMID: 36321496 PMCID: PMC9627712 DOI: 10.1098/rspb.2022.1561] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 10/10/2022] [Indexed: 11/06/2022] Open
Abstract
Small populations with limited range are often threatened by inbreeding and reduced genetic diversity, which can reduce fitness and exacerbate population decline. One of the most extreme natural examples is the Devils Hole pupfish (Cyprinodon diabolis), an iconic and critically endangered species with the smallest known range of any vertebrate. This species has experienced severe declines in population size over the last 30 years and suffered major bottlenecks in 2007 and 2013, when the population shrunk to 38 and 35 individuals, respectively. Here, we analysed 30 resequenced genomes of desert pupfishes from Death Valley, Ash Meadows and surrounding areas to examine the genomic consequences of small population size. We found extremely high levels of inbreeding (FROH = 0.34-0.81) and an increased amount of potentially deleterious genetic variation in the Devils Hole pupfish as compared to other species, including unique, fixed loss-of-function alleles and deletions in genes associated with sperm motility and hypoxia. Additionally, we successfully resequenced a formalin-fixed museum specimen from 1980 and found that the population was already highly inbred prior to recent known bottlenecks. We thus document severe inbreeding and increased mutation load in the Devils Hole pupfish and identify candidate deleterious variants to inform management of this conservation icon.
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Affiliation(s)
- David Tian
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - Austin H. Patton
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - Bruce J. Turner
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - Christopher H. Martin
- Department of Integrative Biology, University of California, Berkeley, CA 94720, USA
- Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
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26
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Lord E, Marangoni A, Baca M, Popović D, Goropashnaya AV, Stewart JR, Knul MV, Noiret P, Germonpré M, Jimenez EL, Abramson NI, Vartanyan S, Prost S, Smirnov NG, Kuzmina EA, Olsen RA, Fedorov VB, Dalén L. Population dynamics and demographic history of Eurasian collared lemmings. BMC Ecol Evol 2022; 22:126. [PMID: 36329382 PMCID: PMC9632076 DOI: 10.1186/s12862-022-02081-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Accepted: 10/19/2022] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND Ancient DNA studies suggest that Late Pleistocene climatic changes had a significant effect on population dynamics in Arctic species. The Eurasian collared lemming (Dicrostonyx torquatus) is a keystone species in the Arctic ecosystem. Earlier studies have indicated that past climatic fluctuations were important drivers of past population dynamics in this species. RESULTS Here, we analysed 59 ancient and 54 modern mitogenomes from across Eurasia, along with one modern nuclear genome. Our results suggest population growth and genetic diversification during the early Late Pleistocene, implying that collared lemmings may have experienced a genetic bottleneck during the warm Eemian interglacial. Furthermore, we find multiple temporally structured mitogenome clades during the Late Pleistocene, consistent with earlier results suggesting a dynamic late glacial population history. Finally, we identify a population in northeastern Siberia that maintained genetic diversity and a constant population size at the end of the Pleistocene, suggesting suitable conditions for collared lemmings in this region during the increasing temperatures associated with the onset of the Holocene. CONCLUSIONS This study highlights an influence of past warming, in particular the Eemian interglacial, on the evolutionary history of the collared lemming, along with spatiotemporal population structuring throughout the Late Pleistocene.
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Affiliation(s)
- Edana Lord
- Centre for Palaeogenetics, Svante Arrhenius Väg 20C, 10691, Stockholm, Sweden.
- Department of Zoology, Stockholm University, 10691, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405, Stockholm, Sweden.
| | - Aurelio Marangoni
- Centre for Palaeogenetics, Svante Arrhenius Väg 20C, 10691, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405, Stockholm, Sweden
| | - Mateusz Baca
- Centre of New Technologies, University of Warsaw, S. Banacha 2C, 02-097, Warsaw, Poland
| | - Danijela Popović
- Centre of New Technologies, University of Warsaw, S. Banacha 2C, 02-097, Warsaw, Poland
| | - Anna V Goropashnaya
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, 99775-7000, USA
| | - John R Stewart
- Faculty of Science and Technology, Bournemouth University, Talbot Campus, Fern Barrow, Poole, BH12 5BB, Dorset, UK
| | - Monika V Knul
- Department of Archaeology, Anthropology and Geography, University of Winchester, Winchester, SO22 4NR, UK
| | - Pierre Noiret
- Service de Préhistoire, Université de Liège, Place du 20 Août 7, 4000, Liège, Belgium
| | - Mietje Germonpré
- OD Earth and History of Life, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, Brussels, Belgium
| | - Elodie-Laure Jimenez
- OD Earth and History of Life, Royal Belgian Institute of Natural Sciences, Vautierstraat 29, Brussels, Belgium
- School of Geosciences, University of Aberdeen, Aberdeen, Scotland
| | - Natalia I Abramson
- Department of Molecular Systematics, Zoological Institute RAS, St Petersburg, Russia
| | - Sergey Vartanyan
- Far East Branch, N.A. Shilo North-East Interdisciplinary Scientific Research Institute Russian Academy of Sciences (NEISRI FEB RAS), 685000, Magadan, Russia
| | - Stefan Prost
- Central Research Laboratories, Natural History Museum Vienna, 1010, Vienna, Austria
- Department of Cognitive Biology, University of Vienna, 1090, Vienna, Austria
- Konrad Lorenz Institute of Ethology, 1160, Vienna, Austria
- South African National Biodiversity Institute, National Zoological Garden, Pretoria, South Africa
| | - Nickolay G Smirnov
- Institute of Plant and Animal Ecology UB RAS, Russian Academy of Sciences, 202 8 Marta Street, 620144, Ekaterinburg, Russia
| | - Elena A Kuzmina
- Institute of Plant and Animal Ecology UB RAS, Russian Academy of Sciences, 202 8 Marta Street, 620144, Ekaterinburg, Russia
| | - Remi-André Olsen
- Science for Life Laboratory (SciLifeLab), Dept of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Vadim B Fedorov
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, 99775-7000, USA
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius Väg 20C, 10691, Stockholm, Sweden.
- Department of Zoology, Stockholm University, 10691, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405, Stockholm, Sweden.
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27
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van der Valk T, Dehasque M, Chacón-Duque JC, Oskolkov N, Vartanyan S, Heintzman PD, Pečnerová P, Díez-del-Molino D, Dalén L. Evolutionary consequences of genomic deletions and insertions in the woolly mammoth genome. iScience 2022; 25:104826. [PMID: 35992080 PMCID: PMC9382235 DOI: 10.1016/j.isci.2022.104826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/02/2022] [Accepted: 07/19/2022] [Indexed: 11/09/2022] Open
Abstract
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. Two new high-quality woolly mammoth genomes have been generated A new method was used to identify deletions and insertions in woolly mammoths At least 87 genes have been affected by deletions or indels in the mammoth lineage Genes involved in skeletal morphology and hair growth are affected by deletions
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28
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Steller's sea cow uncertain history illustrates importance of ecological context when interpreting demographic histories from genomes. Nat Commun 2022; 13:3674. [PMID: 35764647 PMCID: PMC9240004 DOI: 10.1038/s41467-022-31381-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 06/14/2022] [Indexed: 11/09/2022] Open
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29
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Wang MS, Murray GGR, Mann D, Groves P, Vershinina AO, Supple MA, Kapp JD, Corbett-Detig R, Crump SE, Stirling I, Laidre KL, Kunz M, Dalén L, Green RE, Shapiro B. A polar bear paleogenome reveals extensive ancient gene flow from polar bears into brown bears. Nat Ecol Evol 2022; 6:936-944. [PMID: 35711062 DOI: 10.1038/s41559-022-01753-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Accepted: 03/30/2022] [Indexed: 11/09/2022]
Abstract
Polar bears (Ursus maritimus) and brown bears (Ursus arctos) are sister species possessing distinct physiological and behavioural adaptations that evolved over the last 500,000 years. However, comparative and population genomics analyses have revealed that several extant and extinct brown bear populations have relatively recent polar bear ancestry, probably as the result of geographically localized instances of gene flow from polar bears into brown bears. Here, we generate and analyse an approximate 20X paleogenome from an approximately 100,000-year-old polar bear that reveals a massive prehistoric admixture event, which is evident in the genomes of all living brown bears. This ancient admixture event was not visible from genomic data derived from living polar bears. Like more recent events, this massive admixture event mainly involved unidirectional gene flow from polar bears into brown bears and occurred as climate changes caused overlap in the ranges of the two species. These findings highlight the complex reticulate paths that evolution can take within a regime of radically shifting climate.
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Affiliation(s)
- Ming-Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Gemma G R Murray
- Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Daniel Mann
- Department of Geosciences, University of Alaska, Fairbanks, AK, USA.,Institute of Arctic Biology, University of Alaska, Fairbanks, AK, USA
| | - Pamela Groves
- Institute of Arctic Biology, University of Alaska, Fairbanks, AK, USA
| | - Alisa O Vershinina
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Megan A Supple
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Joshua D Kapp
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Russell Corbett-Detig
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Sarah E Crump
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ian Stirling
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada.,Wildlife Research Division, Environment and Climate Change Canada Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Kristin L Laidre
- Polar Science Center, Applied Physics Laboratory, University of Washington, Seattle, WA, USA
| | - Michael Kunz
- University of Alaska Museum of the North, Fairbanks, AK, USA
| | - Love Dalén
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | - Richard E Green
- Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Beth Shapiro
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA. .,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA.
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30
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Kutschera VE, Kierczak M, van der Valk T, von Seth J, Dussex N, Lord E, Dehasque M, Stanton DWG, Khoonsari PE, Nystedt B, Dalén L, Díez-Del-Molino D. GenErode: a bioinformatics pipeline to investigate genome erosion in endangered and extinct species. BMC Bioinformatics 2022; 23:228. [PMID: 35698034 PMCID: PMC9195343 DOI: 10.1186/s12859-022-04757-0] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 05/30/2022] [Indexed: 11/25/2022] Open
Abstract
Background Many wild species have suffered drastic population size declines over the past centuries, which have led to ‘genomic erosion’ processes characterized by reduced genetic diversity, increased inbreeding, and accumulation of harmful mutations. Yet, genomic erosion estimates of modern-day populations often lack concordance with dwindling population sizes and conservation status of threatened species. One way to directly quantify the genomic consequences of population declines is to compare genome-wide data from pre-decline museum samples and modern samples. However, doing so requires computational data processing and analysis tools specifically adapted to comparative analyses of degraded, ancient or historical, DNA data with modern DNA data as well as personnel trained to perform such analyses. Results Here, we present a highly flexible, scalable, and modular pipeline to compare patterns of genomic erosion using samples from disparate time periods. The GenErode pipeline uses state-of-the-art bioinformatics tools to simultaneously process whole-genome re-sequencing data from ancient/historical and modern samples, and to produce comparable estimates of several genomic erosion indices. No programming knowledge is required to run the pipeline and all bioinformatic steps are well-documented, making the pipeline accessible to users with different backgrounds. GenErode is written in Snakemake and Python3 and uses Conda and Singularity containers to achieve reproducibility on high-performance compute clusters. The source code is freely available on GitHub (https://github.com/NBISweden/GenErode). Conclusions GenErode is a user-friendly and reproducible pipeline that enables the standardization of genomic erosion indices from temporally sampled whole genome re-sequencing data. Supplementary Information The online version contains supplementary material available at 10.1186/s12859-022-04757-0.
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Affiliation(s)
- Verena E Kutschera
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden.
| | - Marcin Kierczak
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Tom van der Valk
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Johanna von Seth
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden
| | - Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden
| | - Edana Lord
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden
| | - Marianne Dehasque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden
| | - David W G Stanton
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Payam Emami Khoonsari
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Björn Nystedt
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden
| | - David Díez-Del-Molino
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 106 91, Stockholm, Sweden. .,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden. .,Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden.
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31
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Robin M, Ferrari G, Akgül G, Münger X, von Seth J, Schuenemann VJ, Dalén L, Grossen C. Ancient mitochondrial and modern whole genomes unravel massive genetic diversity loss during near extinction of Alpine ibex. Mol Ecol 2022; 31:3548-3565. [PMID: 35560856 PMCID: PMC9328357 DOI: 10.1111/mec.16503] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 04/13/2022] [Accepted: 05/04/2022] [Indexed: 11/27/2022]
Abstract
Population bottlenecks can have dramatic consequences for the health and long-term survival of a species. Understanding of historic population size and standing genetic variation prior to a contraction allows estimating the impact of a bottleneck on the species genetic diversity. Although historic population sizes can be modelled based on extant genomics, uncertainty is high for the last 10-20 millenia. Hence, integrating ancient genomes provides a powerful complement to retrace the evolution of genetic diversity through population fluctuations. Here, we recover 15 high-quality mitogenomes of the once nearly extinct Alpine ibex spanning 8601 BP to 1919 CE and combine these with 60 published modern whole genomes. Coalescent demography simulations based on modern whole genomes indicate population fluctuations coinciding with the last major glaciation period. Using our ancient and historic mitogenomes, we investigate the more recent demographic history of the species and show that mitochondrial haplotype diversity was reduced to a fifth of the pre-bottleneck diversity with several highly differentiated mitochondrial lineages having co-existed historically. The main collapse of mitochondrial diversity coincides with elevated human population growth during the last 1-2 kya. After recovery, one lineage was spread and nearly fixed across the Alps due to recolonization efforts. Our study highlights that a combined approach integrating genomic data of ancient, historic and extant populations unravels major long-term population fluctuations from the emergence of a species through its near extinction up to the recent past.
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Affiliation(s)
- Mathieu Robin
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland.,Institute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland
| | - Giada Ferrari
- Institute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland
| | - Gülfirde Akgül
- Institute of Evolutionary Medicine, University of Zurich, Zürich, Switzerland
| | - Xenia Münger
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland
| | - Johanna von Seth
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | | | - Love Dalén
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,Centre for Palaeogenetics, Stockholm, Sweden
| | - Christine Grossen
- Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland
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32
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Cai D, Zhu S, Gong M, Zhang N, Wen J, Liang Q, Sun W, Shao X, Guo Y, Cai Y, Zheng Z, Zhang W, Hu S, Wang X, Tian H, Li Y, Liu W, Yang M, Yang J, Wu D, Orlando L, Jiang Y. Radiocarbon and genomic evidence for the survival of Equus Sussemionus until the late Holocene. eLife 2022; 11:73346. [PMID: 35543411 PMCID: PMC9142152 DOI: 10.7554/elife.73346] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Accepted: 05/11/2022] [Indexed: 12/02/2022] Open
Abstract
The exceptionally rich fossil record available for the equid family has provided textbook examples of macroevolutionary changes. Horses, asses, and zebras represent three extant subgenera of Equus lineage, while the Sussemionus subgenus is another remarkable Equus lineage ranging from North America to Ethiopia in the Pleistocene. We sequenced 26 archaeological specimens from Northern China in the Holocene that could be assigned morphologically and genetically to Equus ovodovi, a species representative of Sussemionus. We present the first high-quality complete genome of the Sussemionus lineage, which was sequenced to 13.4× depth of coverage. Radiocarbon dating demonstrates that this lineage survived until ~3500 years ago, despite continued demographic collapse during the Last Glacial Maximum and the great human expansion in East Asia. We also confirmed the Equus phylogenetic tree and found that Sussemionus diverged from the ancestor of non-caballine equids ~2.3–2.7 million years ago and possibly remained affected by secondary gene flow post-divergence. We found that the small genetic diversity, rather than enhanced inbreeding, limited the species’ chances of survival. Our work adds to the growing literature illustrating how ancient DNA can inform on extinction dynamics and the long-term resilience of species surviving in cryptic population pockets.
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Affiliation(s)
- Dawei Cai
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Siqi Zhu
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Mian Gong
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Naifan Zhang
- Bioarchaeology Laboratory, Jilin University, Changchuin, China
| | - Jia Wen
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Qiyao Liang
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Weilu Sun
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Xinyue Shao
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Yaqi Guo
- Bioarchaeology Laboratory, Jilin University, Changchun, China
| | - Yudong Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Zhuqing Zheng
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
| | - Wei Zhang
- Heilongjiang Provincial Institute of Cultural Relics and Archaeology, Harbin, China
| | - Songmei Hu
- Shaanxi Provincial Institute of Archaeology, Xi'an, China
| | - Xiaoyang Wang
- Ningxia Institute of Cultural Relics and Archaeology, Yinchuan, China
| | - He Tian
- Heilongjiang Provincial Institute of Cultural Relics and Archaeology, Harbin, China
| | - Youqian Li
- Heilongjiang Provincial Institute of Cultural Relics and Archaeology, Harbin, China
| | - Wei Liu
- Heilongjiang Provincial Institute of Cultural Relics and Archaeology, Harbin, China
| | - Miaomiao Yang
- Shaanxi Provincial Institute of Archaeology, Xi'an, China
| | - Jian Yang
- Ningxia Institute of Cultural Relics and Archaeology, Yinchuan, China
| | - Duo Wu
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China
| | - Ludovic Orlando
- 7Centre d'Anthropobiologie et de Génomique de Toulouse, Université Paul Sabatier, CNRS UMR 5288, Toulouse, France
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, China
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33
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Dehasque M, Pečnerová P, Kempe Lagerholm V, Ersmark E, Danilov GK, Mortensen P, Vartanyan S, Dalén L. Development and Optimization of a Silica Column-Based Extraction Protocol for Ancient DNA. Genes (Basel) 2022; 13:687. [PMID: 35456493 PMCID: PMC9032354 DOI: 10.3390/genes13040687] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 02/01/2023] Open
Abstract
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.
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Affiliation(s)
- Marianne Dehasque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; (V.K.L.); (E.E.); (L.D.)
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, P.O. Box 50007, 10405 Stockholm, Sweden
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Patrícia Pečnerová
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Vendela Kempe Lagerholm
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; (V.K.L.); (E.E.); (L.D.)
- Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, 11418 Stockholm, Sweden
| | - Erik Ersmark
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; (V.K.L.); (E.E.); (L.D.)
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, P.O. Box 50007, 10405 Stockholm, Sweden
- Department of Archaeology and Classical Studies, Stockholm University, Lilla Frescativägen 7, 11418 Stockholm, Sweden
| | - Gleb K. Danilov
- Peter the Great Museum of Anthropology and Ethnography, Kunstkamera, Russian Academy of Sciences, University Embankment 3, Saint-Petersburg P.O. Box 199034, Russia;
| | - Peter Mortensen
- Department of Zoology, Swedish Museum of Natural History, P.O. Box 50007, 10405 Stockholm, Sweden;
| | - Sergey Vartanyan
- North-East Interdisciplinary Scientific Research Institute N.A.N.A. Shilo, Far East Branch, Russian Academy of Sciences, Magadan 68500, Russia;
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden; (V.K.L.); (E.E.); (L.D.)
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, P.O. Box 50007, 10405 Stockholm, Sweden
- Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
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34
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Hoban S, Archer FI, Bertola LD, Bragg JG, Breed MF, Bruford MW, Coleman MA, Ekblom R, Funk WC, Grueber CE, Hand BK, Jaffé R, Jensen E, Johnson JS, Kershaw F, Liggins L, MacDonald AJ, Mergeay J, Miller JM, Muller-Karger F, O'Brien D, Paz-Vinas I, Potter KM, Razgour O, Vernesi C, Hunter ME. Global genetic diversity status and trends: towards a suite of Essential Biodiversity Variables (EBVs) for genetic composition. Biol Rev Camb Philos Soc 2022; 97:1511-1538. [PMID: 35415952 PMCID: PMC9545166 DOI: 10.1111/brv.12852] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 12/14/2022]
Abstract
Biodiversity underlies ecosystem resilience, ecosystem function, sustainable economies, and human well‐being. Understanding how biodiversity sustains ecosystems under anthropogenic stressors and global environmental change will require new ways of deriving and applying biodiversity data. A major challenge is that biodiversity data and knowledge are scattered, biased, collected with numerous methods, and stored in inconsistent ways. The Group on Earth Observations Biodiversity Observation Network (GEO BON) has developed the Essential Biodiversity Variables (EBVs) as fundamental metrics to help aggregate, harmonize, and interpret biodiversity observation data from diverse sources. Mapping and analyzing EBVs can help to evaluate how aspects of biodiversity are distributed geographically and how they change over time. EBVs are also intended to serve as inputs and validation to forecast the status and trends of biodiversity, and to support policy and decision making. Here, we assess the feasibility of implementing Genetic Composition EBVs (Genetic EBVs), which are metrics of within‐species genetic variation. We review and bring together numerous areas of the field of genetics and evaluate how each contributes to global and regional genetic biodiversity monitoring with respect to theory, sampling logistics, metadata, archiving, data aggregation, modeling, and technological advances. We propose four Genetic EBVs: (i) Genetic Diversity; (ii) Genetic Differentiation; (iii) Inbreeding; and (iv) Effective Population Size (Ne). We rank Genetic EBVs according to their relevance, sensitivity to change, generalizability, scalability, feasibility and data availability. We outline the workflow for generating genetic data underlying the Genetic EBVs, and review advances and needs in archiving genetic composition data and metadata. We discuss how Genetic EBVs can be operationalized by visualizing EBVs in space and time across species and by forecasting Genetic EBVs beyond current observations using various modeling approaches. Our review then explores challenges of aggregation, standardization, and costs of operationalizing the Genetic EBVs, as well as future directions and opportunities to maximize their uptake globally in research and policy. The collection, annotation, and availability of genetic data has made major advances in the past decade, each of which contributes to the practical and standardized framework for large‐scale genetic observation reporting. Rapid advances in DNA sequencing technology present new opportunities, but also challenges for operationalizing Genetic EBVs for biodiversity monitoring regionally and globally. With these advances, genetic composition monitoring is starting to be integrated into global conservation policy, which can help support the foundation of all biodiversity and species' long‐term persistence in the face of environmental change. We conclude with a summary of concrete steps for researchers and policy makers for advancing operationalization of Genetic EBVs. The technical and analytical foundations of Genetic EBVs are well developed, and conservation practitioners should anticipate their increasing application as efforts emerge to scale up genetic biodiversity monitoring regionally and globally.
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Affiliation(s)
- Sean Hoban
- Center for Tree Science, The Morton Arboretum, 4100 Illinois Rt 53, Lisle, IL, 60532, USA
| | - Frederick I Archer
- Southwest Fisheries Science Center, NOAA/NMFS, 8901 La Jolla Shores Drive, La Jolla, CA, 92037, USA
| | - Laura D Bertola
- City College of New York, 160 Convent Avenue, New York, NY, 10031, USA
| | - Jason G Bragg
- Research Centre for Ecosystem Resilience, Australian Institute of Botanical Science, The Royal Botanic Garden Sydney, Mrs Macquaries Rd, Sydney, NSW, 2000, Australia
| | - Martin F Breed
- College of Science and Engineering, Flinders University, University Drive, Bedford Park, SA, 5042, Australia
| | - Michael W Bruford
- School of Biosciences, Cardiff University, Cathays Park, Cardiff, CF10 3AX, Wales, UK
| | - Melinda A Coleman
- Department of Primary Industries, New South Wales Fisheries, National Marine Science Centre, 2 Bay Drive, Coffs Harbour, NSW, 2450, Australia
| | - Robert Ekblom
- Wildlife Analysis Unit, Swedish Environmental Protection Agency, Blekholmsterrassen 36, Stockholm, SE-106 48, Sweden
| | - W Chris Funk
- Department of Biology, Graduate Degree in Ecology, Colorado State University, 1878 Campus Delivery, Fort Collins, CO, 80523-1878, USA
| | - Catherine E Grueber
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Carslaw Building, Sydney, NSW, 2006, Australia
| | - Brian K Hand
- Flathead Lake Biological Station, 32125 Bio Station Ln, Polson, MT, 59860, USA
| | - Rodolfo Jaffé
- Exponent, 15375 SE 30th Place, Suite 250, Bellevue, WA, 98007, USA
| | - Evelyn Jensen
- School of Natural and Environmental Sciences, Newcastle University, Agriculture Building, Newcastle Upon Tyne, NE1 7RU, UK
| | - Jeremy S Johnson
- Department of Environmental Studies, Prescott College, 220 Grove Avenue, Prescott, AZ, 86303, USA
| | - Francine Kershaw
- Natural Resources Defense Council, 40 West 20th Street, New York, NY, 10011, USA
| | - Libby Liggins
- School of Natural Sciences, Massey University, Ōtehā Rohe campus, Gate 4 Albany Highway, Auckland, Aotearoa, 0745, New Zealand
| | - Anna J MacDonald
- Research School of Biology, The Australian National University, Acton, ACT, 2601, Australia
| | - Joachim Mergeay
- Research Institute for Nature and Forest, Gaverstraat 4, 9500, Geraardsbergen, Belgium.,Aquatic Ecology, Evolution and Conservation, KULeuven, Charles Deberiotstraat 32, box 2439, 3000, Leuven, Belgium
| | - Joshua M Miller
- Department of Biological Sciences, MacEwan University, 10700 104 Avenue, Edmonton, AB, T5J 4S2, Canada
| | - Frank Muller-Karger
- College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, Florida, 33701, USA
| | - David O'Brien
- NatureScot, Great Glen House, Leachkin Road, Inverness, IV3 8NW, UK
| | - Ivan Paz-Vinas
- Laboratoire Evolution et Diversité Biologique, Université de Toulouse, CNRS, IRD, UPS, UMR-5174 EDB, 118 route de Narbonne, Toulouse, 31062, France
| | - Kevin M Potter
- Department of Forestry and Environmental Resources, North Carolina State University, 3041 Cornwallis Road, Research Triangle Park, NC, 27709, USA
| | - Orly Razgour
- Biosciences, University of Exeter, Streatham Campus, Hatherly Laboratories, Prince of Wales Road, Exeter, EX4 4PS, UK
| | - Cristiano Vernesi
- Forest Ecology Unit, Research and Innovation Centre- Fondazione Edmund Mach, Via E. Mach, 1, San Michele all'Adige, 38010, (TN), Italy
| | - Margaret E Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, USA
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35
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Scarsbrook L, Verry AJF, Walton K, Hitchmough RA, Rawlence NJ. Ancient mitochondrial genomes recovered from small vertebrate bones through minimally destructive DNA extraction: phylogeography of the New Zealand gecko genus
Hoplodactylus. Mol Ecol 2022; 32:2964-2984. [DOI: 10.1111/mec.16434] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 03/04/2022] [Accepted: 03/14/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Lachie Scarsbrook
- Otago Paleogenetics Laboratory Department of Zoology University of Otago Dunedin New Zealand
| | - Alexander J. F. Verry
- Otago Paleogenetics Laboratory Department of Zoology University of Otago Dunedin New Zealand
| | - Kerry Walton
- Otago Paleogenetics Laboratory Department of Zoology University of Otago Dunedin New Zealand
| | | | - Nicolas J. Rawlence
- Otago Paleogenetics Laboratory Department of Zoology University of Otago Dunedin New Zealand
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36
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Probing the genomic limits of de-extinction in the Christmas Island rat. Curr Biol 2022; 32:1650-1656.e3. [PMID: 35271794 PMCID: PMC9044923 DOI: 10.1016/j.cub.2022.02.027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Revised: 01/24/2022] [Accepted: 02/07/2022] [Indexed: 12/17/2022]
Abstract
Three principal methods are under discussion as possible pathways to “true” de-extinction; i.e., back-breeding, cloning, and genetic engineering.1,2 Of these, while the latter approach is most likely to apply to the largest number of extinct species, its potential is constrained by the degree to which the extinct species genome can be reconstructed. We explore this question using the extinct Christmas Island rat (Rattus macleari) as a model, an endemic rat species that was driven extinct between 1898 and 1908.3, 4, 5 We first re-sequenced its genome to an average of >60× coverage, then mapped it to the reference genomes of different Rattus species. We then explored how evolutionary divergence from the extant reference genome affected the fraction of the Christmas Island rat genome that could be recovered. Our analyses show that even when the extremely high-quality Norway brown rat (R. norvegicus) is used as a reference, nearly 5% of the genome sequence is unrecoverable, with 1,661 genes recovered at lower than 90% completeness, and 26 completely absent. Furthermore, we find the distribution of regions affected is not random, but for example, if 90% completeness is used as the cutoff, genes related to immune response and olfaction are excessively affected. Ultimately, our approach demonstrates the importance of applying similar analyses to candidates for de-extinction through genome editing in order to provide critical baseline information about how representative the edited form would be of the extinct species. Evolutionary divergence limits the completeness of extinct species genomes The extinct Christmas Island rat was re-sequenced to ca. 60× coverage Nevertheless, 4.85% of the Norway brown rat genome remains absent after mapping Absences are not random; immune response and olfaction are excessively affected
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37
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Le Duc D, Velluva A, Cassatt-Johnstone M, Olsen RA, Baleka S, Lin CC, Lemke JR, Southon JR, Burdin A, Wang MS, Grunewald S, Rosendahl W, Joger U, Rutschmann S, Hildebrandt TB, Fritsch G, Estes JA, Kelso J, Dalén L, Hofreiter M, Shapiro B, Schöneberg T. Genomic basis for skin phenotype and cold adaptation in the extinct Steller's sea cow. SCIENCE ADVANCES 2022; 8:eabl6496. [PMID: 35119923 PMCID: PMC8816345 DOI: 10.1126/sciadv.abl6496] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Steller's sea cow, an extinct sirenian and one of the largest Quaternary mammals, was described by Georg Steller in 1741 and eradicated by humans within 27 years. Here, we complement Steller's descriptions with paleogenomic data from 12 individuals. We identified convergent evolution between Steller's sea cow and cetaceans but not extant sirenians, suggesting a role of several genes in adaptation to cold aquatic (or marine) environments. Among these are inactivations of lipoxygenase genes, which in humans and mouse models cause ichthyosis, a skin disease characterized by a thick, hyperkeratotic epidermis that recapitulates Steller's sea cows' reportedly bark-like skin. We also found that Steller's sea cows' abundance was continuously declining for tens of thousands of years before their description, implying that environmental changes also contributed to their extinction.
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Affiliation(s)
- Diana Le Duc
- Institute of Human Genetics, University Medical Center Leipzig, 04103 Leipzig, Germany
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Akhil Velluva
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
| | - Molly Cassatt-Johnstone
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Remi-Andre Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Box 1031 , SE-17121 Solna, Sweden
| | - Sina Baleka
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany
- Faculty of Life and Environmental Sciences, University of Iceland, 102 Reykjavik, Iceland
| | - Chen-Ching Lin
- Institute of Biomedical Informatics, National Yang Ming Chiao Tung University, 11221 Taipei, Taiwan
| | - Johannes R. Lemke
- Institute of Human Genetics, University Medical Center Leipzig, 04103 Leipzig, Germany
| | - John R. Southon
- Keck-CCAMS Group, Earth System Science Department, University of California, Irvine, Irvine, CA 92697, USA
| | - Alexander Burdin
- Kamchatka Branch of Pacific Geographical Institute, Russian Academy of Science, 683000 Petropavlovsk-Kamchatsky, Russia
| | - Ming-Shan Wang
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Sonja Grunewald
- Department of Dermatology, Venerology and Allergology, University Medical Center Leipzig, 04103 Leipzig, Germany
| | - Wilfried Rosendahl
- Reiss-Engelhorn-Museum and Curt-Engelhorn-Centre of Archaeometry, 68159 Mannheim, Germany
| | - Ulrich Joger
- State Museum of Natural History, 38106 Braunschweig, Germany
| | - Sereina Rutschmann
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany
| | - Thomas B. Hildebrandt
- Department of Reproduction Management, Leibniz Institute for Zoo and Wildlife Research, 10315 Berlin, Germany
- Faculty of Veterinary Medicine, Free University Berlin, 14195 Berlin, Germany
| | - Guido Fritsch
- Department of Reproduction Management, Leibniz Institute for Zoo and Wildlife Research, 10315 Berlin, Germany
| | - James A. Estes
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Janet Kelso
- Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany
| | - Love Dalén
- Centre for Palaeogenetics, SE-106 91 Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05 Stockholm, Sweden
- Department of Zoology, Stockholm University, SE-106 91 Stockholm, Sweden
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, Institute for Biochemistry and Biology, University of Potsdam, 14476 Potsdam, Germany
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Torsten Schöneberg
- Rudolf Schönheimer Institute of Biochemistry, Medical Faculty, University of Leipzig, 04103 Leipzig, Germany
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38
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Fordham DA, Brown SC, Akçakaya HR, Brook BW, Haythorne S, Manica A, Shoemaker KT, Austin JJ, Blonder B, Pilowsky J, Rahbek C, Nogues-Bravo D. Process-explicit models reveal pathway to extinction for woolly mammoth using pattern-oriented validation. Ecol Lett 2021; 25:125-137. [PMID: 34738712 DOI: 10.1111/ele.13911] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 09/18/2021] [Accepted: 10/05/2021] [Indexed: 12/01/2022]
Abstract
Pathways to extinction start long before the death of the last individual. However, causes of early stage population declines and the susceptibility of small residual populations to extirpation are typically studied in isolation. Using validated process-explicit models, we disentangle the ecological mechanisms and threats that were integral in the initial decline and later extinction of the woolly mammoth. We show that reconciling ancient DNA data on woolly mammoth population decline with fossil evidence of location and timing of extinction requires process-explicit models with specific demographic and niche constraints, and a constrained synergy of climatic change and human impacts. Validated models needed humans to hasten climate-driven population declines by many millennia, and to allow woolly mammoths to persist in mainland Arctic refugia until the mid-Holocene. Our results show that the role of humans in the extinction dynamics of woolly mammoth began well before the Holocene, exerting lasting effects on the spatial pattern and timing of its range-wide extinction.
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Affiliation(s)
- Damien A Fordham
- The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Stuart C Brown
- The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - H Reşit Akçakaya
- Department of Ecology and Evolution, Stony Brook University, Stony Brook, New York, USA
| | - Barry W Brook
- School of Natural Sciences and ARC Centre of Excellence for Australian Biodiversity and Heritage, University of Tasmania, Hobart, Tasmania, Australia
| | - Sean Haythorne
- The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Andrea Manica
- Department of Zoology, University of Cambridge, Cambridge, England
| | - Kevin T Shoemaker
- Department of Natural Resources and Environmental Science, University of Nevada, Reno, Nevada, USA
| | - Jeremy J Austin
- The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Benjamin Blonder
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA
| | - Julia Pilowsky
- The Environment Institute and School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark.,Department of Life Sciences, Imperial College London, Ascot, England.,Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark.,Institute of Ecology, Peking University, Beijing, China
| | - David Nogues-Bravo
- Center for Macroecology, Evolution, and Climate, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
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39
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Saha A, Andersson A, Kurland S, Keehnen NLP, Kutschera VE, Hössjer O, Ekman D, Karlsson S, Kardos M, Ståhl G, Allendorf FW, Ryman N, Laikre L. Whole-genome resequencing confirms reproductive isolation between sympatric demes of brown trout (Salmo trutta) detected with allozymes. Mol Ecol 2021; 31:498-511. [PMID: 34699656 DOI: 10.1111/mec.16252] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 10/16/2021] [Accepted: 10/18/2021] [Indexed: 12/21/2022]
Abstract
The sympatric existence of genetically distinguishable populations of the same species remains a puzzle in ecology. Coexisting salmonid fish populations are known from over 100 freshwater lakes. Most studies of sympatric populations have used limited numbers of genetic markers making it unclear if genetic divergence involves certain parts of the genome. We returned to the first reported case of salmonid sympatry, initially detected through contrasting homozygosity at a single allozyme locus (coding for lactate dehydrogenase A) in brown trout in the small Lakes Bunnersjöarna, Sweden. First, we verified the existence of the two coexisting demes using a 96-SNP fluidigm array. We then applied whole-genome resequencing of pooled DNA to explore genome-wide diversity within and between these demes; nucleotide diversity was higher in deme I than in deme II. Strong genetic divergence is observed with genome-wide FST ≈ 0.2. Compared with data from populations of similar small lakes, this divergence is of similar magnitude as that between reproductively isolated populations. Individual whole-genome resequencing of two individuals per deme suggests higher inbreeding in deme II versus deme I, indicating different degree of isolation. We located two gene-copies for LDH-A and found divergence between demes in a regulatory section of one of these genes. However, we did not find a perfect fit between the sequence data and previous allozyme results, and this will require further research. Our data demonstrates genome-wide divergence governed mostly by genetic drift but also by diversifying selection in coexisting populations. This type of hidden biodiversity needs consideration in conservation management.
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Affiliation(s)
- Atal Saha
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Anastasia Andersson
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Sara Kurland
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Naomi L P Keehnen
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Verena E Kutschera
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Ola Hössjer
- Department of Mathematics, Stockholm University, Stockholm, Sweden
| | - Diana Ekman
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Solna, Sweden
| | - Sten Karlsson
- Norwegian Institute for Nature Research (NINA), Trondheim, Norway
| | - Marty Kardos
- Flathead Lake Biological Station, University of Montana, Montana, USA.,National Marine Fisheries Service, Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, Washington, USA
| | | | - Fred W Allendorf
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Nils Ryman
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Linda Laikre
- Division of Population Genetics, Department of Zoology, Stockholm University, Stockholm, Sweden
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40
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Liu S, Westbury MV, Dussex N, Mitchell KJ, Sinding MHS, Heintzman PD, Duchêne DA, Kapp JD, von Seth J, Heiniger H, Sánchez-Barreiro F, Margaryan A, André-Olsen R, De Cahsan B, Meng G, Yang C, Chen L, van der Valk T, Moodley Y, Rookmaaker K, Bruford MW, Ryder O, Steiner C, Bruins-van Sonsbeek LGR, Vartanyan S, Guo C, Cooper A, Kosintsev P, Kirillova I, Lister AM, Marques-Bonet T, Gopalakrishnan S, Dunn RR, Lorenzen ED, Shapiro B, Zhang G, Antoine PO, Dalén L, Gilbert MTP. Ancient and modern genomes unravel the evolutionary history of the rhinoceros family. Cell 2021; 184:4874-4885.e16. [PMID: 34433011 DOI: 10.1016/j.cell.2021.07.032] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 06/16/2021] [Accepted: 07/23/2021] [Indexed: 12/27/2022]
Abstract
Only five species of the once-diverse Rhinocerotidae remain, making the reconstruction of their evolutionary history a challenge to biologists since Darwin. We sequenced genomes from five rhinoceros species (three extinct and two living), which we compared to existing data from the remaining three living species and a range of outgroups. We identify an early divergence between extant African and Eurasian lineages, resolving a key debate regarding the phylogeny of extant rhinoceroses. This early Miocene (∼16 million years ago [mya]) split post-dates the land bridge formation between the Afro-Arabian and Eurasian landmasses. Our analyses also show that while rhinoceros genomes in general exhibit low levels of genome-wide diversity, heterozygosity is lowest and inbreeding is highest in the modern species. These results suggest that while low genetic diversity is a long-term feature of the family, it has been particularly exacerbated recently, likely reflecting recent anthropogenic-driven population declines.
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Affiliation(s)
- Shanlin Liu
- Department of Entomology, College of Plant Protection, China Agricultural University, Beijing 100193, China; The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark.
| | - Michael V Westbury
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius vag 20C, Stockholm 10691, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm 10405, Sweden; Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - Kieren J Mitchell
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide 5005, Australia
| | - Mikkel-Holger S Sinding
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Peter D Heintzman
- The Arctic University Museum of Norway, UiT The Arctic University of Norway, Tromsø 9037, Norway
| | - David A Duchêne
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Joshua D Kapp
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA
| | - Johanna von Seth
- Centre for Palaeogenetics, Svante Arrhenius vag 20C, Stockholm 10691, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm 10405, Sweden; Department of Zoology, Stockholm University, Stockholm 10691, Sweden
| | - Holly Heiniger
- Australian Centre for Ancient DNA, School of Biological Sciences, University of Adelaide, Adelaide 5005, Australia
| | - Fátima Sánchez-Barreiro
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Ashot Margaryan
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Remi André-Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 17121 Solna, Sweden
| | - Binia De Cahsan
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Guanliang Meng
- China National Genebank, BGI Shenzhen, Shenzhen 518083, China
| | - Chentao Yang
- China National Genebank, BGI Shenzhen, Shenzhen 518083, China
| | - Lei Chen
- Center for Ecological and Environmental Sciences, Northwestern Polytechnical University, Xi'an 710072, China
| | - Tom van der Valk
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Yoshan Moodley
- Department of Zoology, University of Venda, Thohoyandou 0950, Republic of South Africa
| | - Kees Rookmaaker
- Editor of the Rhino Resource Center, Utrecht, the Netherlands
| | - Michael W Bruford
- School of Biosciences, Sir Martin Evans Building, Cardiff University, Cardiff CF10 3AX, UK; Sustainable Places Research Institute, Cardiff University, Cardiff CF10 3BA, UK
| | - Oliver Ryder
- San Diego Zoo Wildlife Alliance, Beckman Center for Conservation Research, San Diego, CA 92027, USA
| | - Cynthia Steiner
- San Diego Zoo Wildlife Alliance, Beckman Center for Conservation Research, San Diego, CA 92027, USA
| | | | - Sergey Vartanyan
- N.A. Shilo North-East Interdisciplinary Scientific Research Institute, Far East Branch, Russian Academy of Sciences (NEISRI FEB RAS), Magadan 685000, Russia
| | - Chunxue Guo
- China National Genebank, BGI Shenzhen, Shenzhen 518083, China
| | - Alan Cooper
- South Australian Museum, Adelaide, SA 5000, Australia
| | - Pavel Kosintsev
- Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences, Yekaterinburg, Russia; Ural Federal University, Yekaterinburg, Russia
| | - Irina Kirillova
- Institute of Geography, Russian Academy of Sciences, Moscow 119017, Russia
| | - Adrian M Lister
- Department of Earth Sciences, Natural History Museum, London, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), Barcelona, Spain; Centre Nacional d'Anàlisi Genòmica, Centre for Genomic Regulation (CNAG-CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain; Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Shyam Gopalakrishnan
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Robert R Dunn
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark; Department of Applied Ecology, North Carolina State University, Raleigh, NC, USA
| | - Eline D Lorenzen
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, Santa Cruz, CA 95064, USA; Howard Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 96050, USA
| | - Guojie Zhang
- China National Genebank, BGI Shenzhen, Shenzhen 518083, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming 650223, China
| | - Pierre-Olivier Antoine
- Institut des Sciences de l'Évolution, Université Montpellier, CNRS, IRD, EPHE, Montpellier 34095, France
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius vag 20C, Stockholm 10691, Sweden; Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm 10405, Sweden; Department of Zoology, Stockholm University, Stockholm 10691, Sweden.
| | - M Thomas P Gilbert
- The GLOBE Institute, Faculty of Health and Medical Sciences, University of Copenhagen, 1353 Copenhagen, Denmark; Norwegian University of Science and Technology (NTNU) University Museum, Trondheim 7012, Norway.
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41
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Dussex N, van der Valk T, Morales HE, Wheat CW, Díez-del-Molino D, von Seth J, Foster Y, Kutschera VE, Guschanski K, Rhie A, Phillippy AM, Korlach J, Howe K, Chow W, Pelan S, Mendes Damas JD, Lewin HA, Hastie AR, Formenti G, Fedrigo O, Guhlin J, Harrop TW, Le Lec MF, Dearden PK, Haggerty L, Martin FJ, Kodali V, Thibaud-Nissen F, Iorns D, Knapp M, Gemmell NJ, Robertson F, Moorhouse R, Digby A, Eason D, Vercoe D, Howard J, Jarvis ED, Robertson BC, Dalén L. Population genomics of the critically endangered kākāpō. CELL GENOMICS 2021; 1:100002. [PMID: 36777713 PMCID: PMC9903828 DOI: 10.1016/j.xgen.2021.100002] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 04/23/2021] [Accepted: 06/22/2021] [Indexed: 12/30/2022]
Abstract
The kākāpō is a flightless parrot endemic to New Zealand. Once common in the archipelago, only 201 individuals remain today, most of them descending from an isolated island population. We report the first genome-wide analyses of the species, including a high-quality genome assembly for kākāpō, one of the first chromosome-level reference genomes sequenced by the Vertebrate Genomes Project (VGP). We also sequenced and analyzed 35 modern genomes from the sole surviving island population and 14 genomes from the extinct mainland population. While theory suggests that such a small population is likely to have accumulated deleterious mutations through genetic drift, our analyses on the impact of the long-term small population size in kākāpō indicate that present-day island kākāpō have a reduced number of harmful mutations compared to mainland individuals. We hypothesize that this reduced mutational load is due to the island population having been subjected to a combination of genetic drift and purging of deleterious mutations, through increased inbreeding and purifying selection, since its isolation from the mainland ∼10,000 years ago. Our results provide evidence that small populations can survive even when isolated for hundreds of generations. This work provides key insights into kākāpō breeding and recovery and more generally into the application of genetic tools in conservation efforts for endangered species.
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Affiliation(s)
- Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden,Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand,Corresponding author
| | - Tom van der Valk
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden
| | - Hernán E. Morales
- Section for Evolutionary Genomics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - David Díez-del-Molino
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden
| | - Johanna von Seth
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden
| | - Yasmin Foster
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Verena E. Kutschera
- Department of Biochemistry and Biophysics, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Stockholm University, Box 1031, 17121 Solna, Sweden
| | - Katerina Guschanski
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh, UK,Department of Ecology and Genetics, Animal Ecology, Uppsala University, 75236 Uppsala, Sweden
| | - Arang Rhie
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Adam M. Phillippy
- Genome Informatics Section, Computational and Statistical Genomics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Jonas Korlach
- Pacific Biosciences, 1305 O’Brien Drive, Menlo Park, CA 94025, USA
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - William Chow
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Sarah Pelan
- Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK
| | - Joanna D. Mendes Damas
- Department of Evolution and Ecology and the UC Davis Genome Center, 4321 Genome and Biomedical Sciences Facility, University of California Davis, Davis, CA 95616, USA
| | - Harris A. Lewin
- Department of Evolution and Ecology and the UC Davis Genome Center, 4321 Genome and Biomedical Sciences Facility, University of California Davis, Davis, CA 95616, USA
| | - Alex R. Hastie
- Bionano Genomics, 9540 Towne Centre Drive, San Diego, CA 92121, USA
| | - Giulio Formenti
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA
| | - Olivier Fedrigo
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA
| | - Joseph Guhlin
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Thomas W.R. Harrop
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Marissa F. Le Lec
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Peter K. Dearden
- Genomics Aotearoa and Laboratory for Evolution and Development, Department of Biochemistry, University of Otago, PO Box 56, Dunedin 9016, New Zealand
| | - Leanne Haggerty
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Fergal J. Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Vamsi Kodali
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - Françoise Thibaud-Nissen
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA
| | - David Iorns
- The Genetic Rescue Foundation, Wellington, New Zealand
| | - Michael Knapp
- Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand
| | - Neil J. Gemmell
- Department of Anatomy, University of Otago, PO Box 913, Dunedin 9016, New Zealand
| | - Fiona Robertson
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand
| | - Ron Moorhouse
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Andrew Digby
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Daryl Eason
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Deidre Vercoe
- Kākāpō Recovery, Department of Conservation, PO Box 743, Invercargill 9840, New Zealand
| | - Jason Howard
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,BioSkryb Genomics, 701 W Main Street, Suite 200, Durham, NC 27701, USA
| | - Erich D. Jarvis
- Vertebrate Genome Laboratory, The Rockefeller University, New York, NY 10065, USA,Laboratory of Neurogenetics of Language, Box 54, The Rockefeller University, New York, NY 10065, USA,Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA,Corresponding author
| | - Bruce C. Robertson
- Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand,Corresponding author
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Box 50007, 10405 Stockholm, Sweden,Department of Zoology, Stockholm University, 10691 Stockholm, Sweden,Corresponding author
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42
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Dussex N, Bergfeldt N, de Anca Prado V, Dehasque M, Díez-Del-Molino D, Ersmark E, Kanellidou F, Larsson P, Lemež Š, Lord E, Mármol-Sánchez E, Meleg IN, Måsviken J, Naidoo T, Studerus J, Vicente M, von Seth J, Götherström A, Dalén L, Heintzman PD. Integrating multi-taxon palaeogenomes and sedimentary ancient DNA to study past ecosystem dynamics. Proc Biol Sci 2021; 288:20211252. [PMID: 34428961 PMCID: PMC8385357 DOI: 10.1098/rspb.2021.1252] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Ancient DNA (aDNA) has played a major role in our understanding of the past. Important advances in the sequencing and analysis of aDNA from a range of organisms have enabled a detailed understanding of processes such as past demography, introgression, domestication, adaptation and speciation. However, to date and with the notable exception of microbiomes and sediments, most aDNA studies have focused on single taxa or taxonomic groups, making the study of changes at the community level challenging. This is rather surprising because current sequencing and analytical approaches allow us to obtain and analyse aDNA from multiple source materials. When combined, these data can enable the simultaneous study of multiple taxa through space and time, and could thus provide a more comprehensive understanding of ecosystem-wide changes. It is therefore timely to develop an integrative approach to aDNA studies by combining data from multiple taxa and substrates. In this review, we discuss the various applications, associated challenges and future prospects of such an approach.
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Affiliation(s)
- Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Nora Bergfeldt
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | | | - Marianne Dehasque
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - David Díez-Del-Molino
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Erik Ersmark
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Foteini Kanellidou
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
| | - Petter Larsson
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Špela Lemež
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
| | - Edana Lord
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Emilio Mármol-Sánchez
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Science for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden
| | - Ioana N Meleg
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.,'Emil Racoviță' Institute of Speleology of the Romanian Academy, Calea 13 Septembrie, nr. 13, 050711, Sector 5, Bucharest, Romania.,Emil. G. Racoviță Institute, Babeș-Bolyai University, Clinicilor 5-7, 400006 Cluj-Napoca, Romania
| | - Johannes Måsviken
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Thijessen Naidoo
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden.,Ancient DNA Unit, SciLifeLab, Stockholm and Uppsala, Sweden
| | - Jovanka Studerus
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden
| | - Mário Vicente
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Johanna von Seth
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Anders Götherström
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Archaeology and Classical Studies, Stockholm University, Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, 10691 Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Peter D Heintzman
- The Arctic University Museum of Norway, The Arctic University of Norway, 9037 Tromsø, Norway
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43
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Tollis M, Ferris E, Campbell MS, Harris VK, Rupp SM, Harrison TM, Kiso WK, Schmitt DL, Garner MM, Aktipis CA, Maley CC, Boddy AM, Yandell M, Gregg C, Schiffman JD, Abegglen LM. Elephant Genomes Reveal Accelerated Evolution in Mechanisms Underlying Disease Defenses. Mol Biol Evol 2021; 38:3606-3620. [PMID: 33944920 PMCID: PMC8383897 DOI: 10.1093/molbev/msab127] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Disease susceptibility and resistance are important factors for the conservation of endangered species, including elephants. We analyzed pathology data from 26 zoos and report that Asian elephants have increased neoplasia and malignancy prevalence compared with African bush elephants. This is consistent with observed higher susceptibility to tuberculosis and elephant endotheliotropic herpesvirus (EEHV) in Asian elephants. To investigate genetic mechanisms underlying disease resistance, including differential responses between species, among other elephant traits, we sequenced multiple elephant genomes. We report a draft assembly for an Asian elephant, and defined 862 and 1,017 conserved potential regulatory elements in Asian and African bush elephants, respectively. In the genomes of both elephant species, conserved elements were significantly enriched with genes differentially expressed between the species. In Asian elephants, these putative regulatory regions were involved in immunity pathways including tumor-necrosis factor, which plays an important role in EEHV response. Genomic sequences of African bush, forest, and Asian elephant genomes revealed extensive sequence conservation at TP53 retrogene loci across three species, which may be related to TP53 functionality in elephant cancer resistance. Positive selection scans revealed outlier genes related to additional elephant traits. Our study suggests that gene regulation plays an important role in the differential inflammatory response of Asian and African elephants, leading to increased infectious disease and cancer susceptibility in Asian elephants. These genomic discoveries can inform future functional and translational studies aimed at identifying effective treatment approaches for ill elephants, which may improve conservation.
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Affiliation(s)
- Marc Tollis
- School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, USA
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
| | - Elliott Ferris
- Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, UT, USA
| | | | - Valerie K Harris
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Shawn M Rupp
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Tara M Harrison
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Clinical Sciences, North Carolina State University, Raleigh, NC, USA
| | - Wendy K Kiso
- Ringling Bros Center for Elephant Conservation, Polk City, FL, USA
| | - Dennis L Schmitt
- Ringling Bros Center for Elephant Conservation, Polk City, FL, USA
- William H. Darr College of Agriculture, Missouri State University, Springfield, MO, USA
| | | | - Christina Athena Aktipis
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Psychology, Arizona State University, Tempe, AZ, USA
| | - Carlo C Maley
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Center for Biocomputing, Security and Society, Biodesign Institute, Arizona State University, Tempe, AZ, USA
| | - Amy M Boddy
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Anthropology, University of California, Santa Barbara, CA, USA
| | - Mark Yandell
- Department of Genetics, University of Utah, Salt Lake City, UT, USA
| | - Christopher Gregg
- Department of Neurobiology and Anatomy, University of Utah, Salt Lake City, UT, USA
| | - Joshua D Schiffman
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Pediatrics & Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- PEEL Therapeutics, Inc., Salt Lake City, UT, USA & Haifa, Israel
| | - Lisa M Abegglen
- Arizona Cancer Evolution Center, Arizona State University, Tempe, AZ, USA
- Department of Pediatrics & Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
- PEEL Therapeutics, Inc., Salt Lake City, UT, USA & Haifa, Israel
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44
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Buffalo V. Quantifying the relationship between genetic diversity and population size suggests natural selection cannot explain Lewontin's Paradox. eLife 2021; 10:e67509. [PMID: 34409937 PMCID: PMC8486380 DOI: 10.7554/elife.67509] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Accepted: 08/16/2021] [Indexed: 12/21/2022] Open
Abstract
Neutral theory predicts that genetic diversity increases with population size, yet observed levels of diversity across metazoans vary only two orders of magnitude while population sizes vary over several. This unexpectedly narrow range of diversity is known as Lewontin's Paradox of Variation (1974). While some have suggested selection constrains diversity, tests of this hypothesis seem to fall short. Here, I revisit Lewontin's Paradox to assess whether current models of linked selection are capable of reducing diversity to this extent. To quantify the discrepancy between pairwise diversity and census population sizes across species, I combine previously-published estimates of pairwise diversity from 172 metazoan taxa with newly derived estimates of census sizes. Using phylogenetic comparative methods, I show this relationship is significant accounting for phylogeny, but with high phylogenetic signal and evidence that some lineages experience shifts in the evolutionary rate of diversity deep in the past. Additionally, I find a negative relationship between recombination map length and census size, suggesting abundant species have less recombination and experience greater reductions in diversity due to linked selection. However, I show that even assuming strong and abundant selection, models of linked selection are unlikely to explain the observed relationship between diversity and census sizes across species.
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Affiliation(s)
- Vince Buffalo
- Institute for Ecology and Evolution, University of OregonEugeneUnited States
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45
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Wooller MJ, Bataille C, Druckenmiller P, Erickson GM, Groves P, Haubenstock N, Howe T, Irrgeher J, Mann D, Moon K, Potter BA, Prohaska T, Rasic J, Reuther J, Shapiro B, Spaleta KJ, Willis AD. Lifetime mobility of an Arctic woolly mammoth. Science 2021; 373:806-808. [PMID: 34385399 DOI: 10.1126/science.abg1134] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 07/12/2021] [Indexed: 11/02/2022]
Abstract
Little is known about woolly mammoth (Mammuthus primigenius) mobility and range. Here we use high temporal resolution sequential analyses of strontium isotope ratios along an entire 1.7-meter-long tusk to reconstruct the movements of an Arctic woolly mammoth that lived 17,100 years ago, during the last ice age. We use an isotope-guided random walk approach to compare the tusk's strontium and oxygen isotope profiles to isotopic maps. Our modeling reveals patterns of movement across a geographically extensive range during the animal's ~28-year life span that varied with life stages. Maintenance of this level of mobility by megafaunal species such as mammoth would have been increasingly difficult as the ice age ended and the environment changed at high latitudes.
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Affiliation(s)
- Matthew J Wooller
- Alaska Stable Isotope Facility, University of Alaska Fairbanks, Fairbanks, AK, USA. .,Department of Marine Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Clement Bataille
- Department of Earth and Environmental Sciences, University of Ottawa, Ottawa, ON, Canada. .,Department of Biology, University of Ottawa, Ottawa, ON, Canada
| | - Patrick Druckenmiller
- University of Alaska Museum of the North, Fairbanks, AK, USA.,Department of Geosciences, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Gregory M Erickson
- Department of Biological Science, Florida State University, Tallahassee, FL, USA
| | - Pamela Groves
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Norma Haubenstock
- Alaska Stable Isotope Facility, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Timothy Howe
- Alaska Stable Isotope Facility, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Johanna Irrgeher
- Department of General, Analytical and Physical Chemistry, Montanuniversität Leoben, Leoben, Austria
| | - Daniel Mann
- Institute of Arctic Biology, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Katherine Moon
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Ben A Potter
- Arctic Studies Center, Liaocheng University, Liaocheng City, Shandong Province, China
| | - Thomas Prohaska
- Department of General, Analytical and Physical Chemistry, Montanuniversität Leoben, Leoben, Austria
| | | | - Joshua Reuther
- University of Alaska Museum of the North, Fairbanks, AK, USA
| | - Beth Shapiro
- Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA, USA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Karen J Spaleta
- Alaska Stable Isotope Facility, University of Alaska Fairbanks, Fairbanks, AK, USA
| | - Amy D Willis
- Department of Biostatistics, University of Washington, Seattle, WA, USA
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46
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Armstrong EE, Khan A, Taylor RW, Gouy A, Greenbaum G, Thiéry A, Kang JT, Redondo SA, Prost S, Barsh G, Kaelin C, Phalke S, Chugani A, Gilbert M, Miquelle D, Zachariah A, Borthakur U, Reddy A, Louis E, Ryder OA, Jhala YV, Petrov D, Excoffier L, Hadly E, Ramakrishnan U. Recent Evolutionary History of Tigers Highlights Contrasting Roles of Genetic Drift and Selection. Mol Biol Evol 2021; 38:2366-2379. [PMID: 33592092 PMCID: PMC8136513 DOI: 10.1093/molbev/msab032] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Species conservation can be improved by knowledge of evolutionary and genetic history. Tigers are among the most charismatic of endangered species and garner significant conservation attention. However, their evolutionary history and genomic variation remain poorly known, especially for Indian tigers. With 70% of the world’s wild tigers living in India, such knowledge is critical. We re-sequenced 65 individual tiger genomes representing most extant subspecies with a specific focus on tigers from India. As suggested by earlier studies, we found strong genetic differentiation between the putative tiger subspecies. Despite high total genomic diversity in India, individual tigers host longer runs of homozygosity, potentially suggesting recent inbreeding or founding events, possibly due to small and fragmented protected areas. We suggest the impacts of ongoing connectivity loss on inbreeding and persistence of Indian tigers be closely monitored. Surprisingly, demographic models suggest recent divergence (within the last 20,000 years) between subspecies and strong population bottlenecks. Amur tiger genomes revealed the strongest signals of selection related to metabolic adaptation to cold, whereas Sumatran tigers show evidence of weak selection for genes involved in body size regulation. We recommend detailed investigation of local adaptation in Amur and Sumatran tigers prior to initiating genetic rescue.
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Affiliation(s)
| | - Anubhab Khan
- National Centre for Biological Sciences, TIFR, Bangalore, India
| | - Ryan W Taylor
- Department of Biology, Stanford University, Stanford, CA, USA.,End2End Genomics, LLC, Davis, CA, USA
| | - Alexandre Gouy
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Gili Greenbaum
- Department of Biology, Stanford University, Stanford, CA, USA.,Department of Ecology, Evolution & Behavior, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Alexandre Thiéry
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Jonathan T Kang
- Department of Biology, Stanford University, Stanford, CA, USA.,Genome Institute of Singapore, A*STAR, Singapore
| | | | - Stefan Prost
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Gregory Barsh
- Hudsonalpha Institute, Hunstville, AL, USA.,Department of Genetics, Stanford University, Stanford, CA, USA
| | | | | | | | - Martin Gilbert
- Wildlife Conservation Society, Russia Program, New York, NY, USA.,College of Veterinary Medicine, Cornell University, Ithaca, NY, USA
| | - Dale Miquelle
- Wildlife Conservation Society, Russia Program, New York, NY, USA
| | | | | | - Anuradha Reddy
- Laboratory for Conservation of Endangered Species, CCMB, Hyderabad, India
| | - Edward Louis
- Department of Genetics, Omaha Zoo, Omaha, NE, USA
| | - Oliver A Ryder
- San Diego Zoo, Institute for Conservation Research, Escondido, CA, USA
| | | | - Dmitri Petrov
- Department of Biology, Stanford University, Stanford, CA, USA
| | - Laurent Excoffier
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Elizabeth Hadly
- Wildlife Conservation Society, Russia Program, New York, NY, USA
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47
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Ancient Faunal History Revealed by Interdisciplinary Biomolecular Approaches. DIVERSITY 2021. [DOI: 10.3390/d13080370] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Starting four decades ago, studies have examined the ecology and evolutionary dynamics of populations and species using short mitochondrial DNA fragments and stable isotopes. Through technological and analytical advances, the methods and biomolecules at our disposal have increased significantly to now include lipids, whole genomes, proteomes, and even epigenomes. At an unprecedented resolution, the study of ancient biomolecules has made it possible for us to disentangle the complex processes that shaped the ancient faunal diversity across millennia, with the potential to aid in implicating probable causes of species extinction and how humans impacted the genetics and ecology of wild and domestic species. However, even now, few studies explore interdisciplinary biomolecular approaches to reveal ancient faunal diversity dynamics in relation to environmental and anthropogenic impact. This review will approach how biomolecules have been implemented in a broad variety of topics and species, from the extinct Pleistocene megafauna to ancient wild and domestic stocks, as well as how their future use has the potential to offer an enhanced understanding of drivers of past faunal diversity on Earth.
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48
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The Preliminary Analysis of Cave Lion Cubs Panthera spelaea (Goldfuss, 1810) from the Permafrost of Siberia. QUATERNARY 2021. [DOI: 10.3390/quat4030024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A preliminary description is presented of the well-preserved frozen mummies of two cubs of the extinct cave lion Panthera spelaea (finds of 2017–2018, Semyuelyakh River, Yakutia, eastern Siberia, Russia). The fossil lion cubs were found in close proximity, but they do not belong to the same litter, since their radiocarbon ages differ: the female (named ‘Sparta’) was dated to 27,962 ± 109 uncal years BP, and the male (named ‘Boris’) was dated to 43,448 ± 389 uncal years BP. The lion cubs have similar individual ages, 1–2 months. The general tone of the colour of the fur coat of Sparta is greyish to light brown, whereas, in Boris, the fur is generally lighter, greyish yellowish. It is, therefore, possible that light colouration prevailed with age in cave lions and was adaptive for northern snow-covered landscapes. The article discusses the results of computed tomography of cubs of the cave lion, the possible reasons for their death, and the peculiarities of their existence in the Siberian Arctic.
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49
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Patil AB, Vijay N. Repetitive genomic regions and the inference of demographic history. Heredity (Edinb) 2021; 127:151-166. [PMID: 34002046 PMCID: PMC8322061 DOI: 10.1038/s41437-021-00443-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 02/03/2023] Open
Abstract
Inference of demographic histories using whole-genome datasets has provided insights into diversification, adaptation, hybridization, and plant-pathogen interactions, and stimulated debate on the impact of anthropogenic interventions and past climate on species demography. However, the impact of repetitive genomic regions on these inferences has mostly been ignored by masking of repeats. We use the Populus trichocarpa genome (Pop_tri_v3) to show that masking of repeat regions leads to lower estimates of effective population size (Ne) in the distant past in contrast to an increase in Ne estimates in recent times. However, in human datasets, masking of repeats resulted in lower estimates of Ne at all time points. We demonstrate that repeats affect demographic inferences using diverse methods like PSMC, MSMC, SMC++, and the Stairway plot. Our genomic analysis revealed that the biases in Ne estimates were dependent on the repeat class type and its abundance in each atomic interval. Notably, we observed a weak, yet consistently significant negative correlation between the repeat abundance of an atomic interval and the Ne estimates for that interval, which potentially reflects the recombination rate variation within the genome. The rationale for the masking of repeats has been that variants identified within these regions are erroneous. We find that polymorphisms in some repeat classes occur in callable regions and reflect reliable coalescence histories (e.g., LTR Gypsy, LTR Copia). The current demography inference methods do not handle repeats explicitly, and hence the effect of individual repeat classes needs careful consideration in comparative analysis. Deciphering the repeat demographic histories might provide a clear understanding of the processes involved in repeat accumulation.
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Affiliation(s)
- Ajinkya Bharatraj Patil
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India
| | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India.
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50
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Li J, Bian C, Yi Y, Yu H, You X, Shi Q. Temporal dynamics of teleost populations during the Pleistocene: a report from publicly available genome data. BMC Genomics 2021; 22:490. [PMID: 34193045 PMCID: PMC8247217 DOI: 10.1186/s12864-021-07816-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Accepted: 06/14/2021] [Indexed: 12/04/2022] Open
Abstract
Background Global climate oscillation, as a selection dynamic, is an ecologically important element resulting in global biodiversity. During the glacial geological periods, most organisms suffered detrimental selection pressures (such as food shortage and habitat loss) and went through population declines. However, during the mild interglacial periods, many species re-flourished. These temporal dynamics of effective population sizes (Ne) provide essential information for understanding and predicting evolutionary outcomes during historical and ongoing global climate changes. Results Using high-quality genome assemblies and corresponding sequencing data, we applied the Pairwise Sequentially Markovian Coalescent (PSMC) method to quantify Ne changes of twelve representative teleost species from approximately 10 million years ago (mya) to 10 thousand years ago (kya). These results revealed multiple rounds of population contraction and expansion in most of the examined teleost species during the Neogene and the Quaternary periods. We observed that 83% (10/12) of the examined teleosts had experienced a drastic decline in Ne before the last glacial period (LGP, 110–12 kya), slightly earlier than the reported pattern of Ne changes in 38 avian species. In comparison with the peaks, almost all of the examined teleosts maintained long-term lower Ne values during the last few million years. This is consistent with increasingly dramatic glaciation during this period. Conclusion In summary, these findings provide a more comprehensive understanding of the historical Ne changes in teleosts. Results presented here could lead to the development of appropriate strategies to protect species in light of ongoing global climate changes. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-021-07816-7.
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Affiliation(s)
- Jia Li
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.
| | - Chao Bian
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,Center of Reproduction, Development and Aging, Faculty of Health Sciences, University of Macau, Macau, China
| | - Yunhai Yi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Hui Yu
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China
| | - Xinxin You
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China.,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China
| | - Qiong Shi
- Shenzhen Key Lab of Marine Genomics, Guangdong Provincial Key Lab of Molecular Breeding in Marine Economic Animals, BGI Academy of Marine Sciences, BGI Marine, BGI, Shenzhen, Guangdong, China. .,BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, Guangdong, China. .,Laboratory of Aquatic Genomics, College of Life Sciences and Oceanography, Shenzhen University, Shenzhen, Guangdong, China.
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