1
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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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2
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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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3
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Wang SZ, Yan Y, Widlund M, Qian CC, Zhang LL, Zhang SJ, Li ZM, Cao P, Dai QY, Feng XT, Liu F, Wang L, Gao C, Fu QM, Hytönen MK, Lohi H, Savolainen P, Wang GD. Historic dog Furs Unravel the Origin and Artificial Selection of Modern Nordic Lapphund and Elkhound dog Breeds. Mol Biol Evol 2024; 41:msae108. [PMID: 38842255 PMCID: PMC11226788 DOI: 10.1093/molbev/msae108] [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: 01/31/2024] [Revised: 05/28/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024] Open
Abstract
The origins and extreme morphological evolution of the modern dog breeds are poorly studied because the founder populations are extinct. Here, we analyse eight 100 to 200 years old dog fur samples obtained from traditional North Swedish clothing, to explore the origin and artificial selection of the modern Nordic Lapphund and Elkhound dog breeds. Population genomic analysis confirmed the Lapphund and Elkhound breeds to originate from the local dog population, and showed a distinct decrease in genetic diversity in agreement with intense breeding. We identified eleven genes under positive selection during the breed development. In particular, the MSRB3 gene, associated with breed-related ear morphology, was selected in all Lapphund and Elkhound breeds, and functional assays showed that a SNP mutation in the 3'UTR region suppresses its expression through miRNA regulation. Our findings demonstrate analysis of near-modern dog artifacts as an effective tool for interpreting the origin and artificial selection of the modern dog breeds.
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Affiliation(s)
- Shi-Zhi Wang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Yunnan Animal Science and Veterinary Institute, Kunming, China
| | - Yu Yan
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Malin Widlund
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Chen-Chang Qian
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | | | - Shao-Jie Zhang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Zi-Mai Li
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Peng Cao
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Qing-Yan Dai
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Xiao-Tian Feng
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Feng Liu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Lu Wang
- State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China
| | - Chao Gao
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, China
| | - Qiao-Mei Fu
- Key Laboratory of Vertebrate Evolution and Human Origins, Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing, China
| | - Marjo K Hytönen
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Hannes Lohi
- Department of Medical and Clinical Genetics, Department of Veterinary Biosciences, University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Peter Savolainen
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Guo-Dong Wang
- Key Laboratory of Genetic Evolution & Animal Models, Yunnan Key Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
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4
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Cavill EL, Morales HE, Sun X, Westbury MV, van Oosterhout C, Accouche W, Zora A, Schulze MJ, Shah N, Adam P, Brooke MDL, Sweet P, Gopalakrishnan S, Gilbert MTP. When birds of a feather flock together: Severe genomic erosion and the implications for genetic rescue in an endangered island passerine. Evol Appl 2024; 17:e13739. [PMID: 38948538 PMCID: PMC11212007 DOI: 10.1111/eva.13739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 05/22/2024] [Accepted: 06/04/2024] [Indexed: 07/02/2024] Open
Abstract
The Seychelles magpie-robin's (SMR) five island populations exhibit some of the lowest recorded levels of genetic diversity among endangered birds, and high levels of inbreeding. These populations collapsed during the 20th century, and the species was listed as Critically Endangered in the IUCN Red List in 1994. An assisted translocation-for-recovery program initiated in the 1990s increased the number of mature individuals, resulting in its downlisting to Endangered in 2005. Here, we explore the temporal genomic erosion of the SMR based on a dataset of 201 re-sequenced whole genomes that span the past ~150 years. Our sample set includes individuals that predate the bottleneck by up to 100 years, as well as individuals from contemporary populations established during the species recovery program. Despite the SMR's recent demographic recovery, our data reveal a marked increase in both the genetic load and realized load in the extant populations when compared to the historical samples. Conservation management may have reduced the intensity of selection by increasing juvenile survival and relaxing intraspecific competition between individuals, resulting in the accumulation of loss-of-function mutations (i.e. severely deleterious variants) in the rapidly recovering population. In addition, we found a 3-fold decrease in genetic diversity between temporal samples. While the low genetic diversity in modern populations may limit the species' adaptability to future environmental changes, future conservation efforts (including IUCN assessments) may also need to assess the threats posed by their high genetic load. Our computer simulations highlight the value of translocations for genetic rescue and show how this could halt genomic erosion in threatened species such as the SMR.
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Affiliation(s)
- Emily L. Cavill
- The Globe Institute, University of CopenhagenCopenhagenDenmark
| | | | - Xin Sun
- The Globe Institute, University of CopenhagenCopenhagenDenmark
| | | | - Cock van Oosterhout
- School of Environmental SciencesUniversity of East Anglia, Norwich Research ParkNorwichUK
| | | | - Anna Zora
- Fregate Island Sanctuary LtdVictoriaSeychelles
| | | | | | | | | | - Paul Sweet
- American Museum of Natural HistoryNew YorkUSA
| | | | - M. Thomas P. Gilbert
- The Globe Institute, University of CopenhagenCopenhagenDenmark
- University Museum, Norwegian University of Science and TechnologyTrondheimNorway
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5
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Blair ME. Conservation museomics. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14234. [PMID: 38155508 DOI: 10.1111/cobi.14234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 12/14/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Affiliation(s)
- Mary E Blair
- Center for Biodiversity and Conservation, American Museum of Natural History, New York, New York, USA
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6
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Gu T, Hu J, Yu L. Evolution and conservation genetics of pangolins. Integr Zool 2024; 19:426-441. [PMID: 38146613 DOI: 10.1111/1749-4877.12796] [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] [Indexed: 12/27/2023]
Abstract
Pangolins (Pholidota, Manidae) are classified as an evolutionarily distinct and globally endangered mammal due to their unique morphology (nail-like scales and a myrmecophagous diet) and being the victim of heavy poaching and worldwide trafficking. As such, pangolins serve as a textbook example for studying the special phenotypic evolutionary adaptations and conservation genetics of an endangered species. Recent years have demonstrated significant advancements in the fields of molecular genetics and genomics, which have translated to a series of important research achievements and breakthroughs concerning the evolution and conservation genetics of pangolins. This review comprehensively presents the hitherto advances in phylogeny, adaptive evolution, conservation genetics, and conservation genomics that are related to pangolins, which will provide an ample understanding of their diversity, molecular adaptation mechanisms, and evolutionary potentials. In addition, we highlight the priority of investigating species/population diversity among pangolins and suggest several avenues of research that are highly relevant for future pangolin conservation.
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Affiliation(s)
- Tongtong Gu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Jingyang Hu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
| | - Li Yu
- State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, School of Life Sciences, Yunnan University, Kunming, China
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7
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Wilder AP, Steiner CC, Hendricks S, Haller BC, Kim C, Korody ML, Ryder OA. Genetic load and viability of a future restored northern white rhino population. Evol Appl 2024; 17:e13683. [PMID: 38617823 PMCID: PMC11009427 DOI: 10.1111/eva.13683] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/04/2024] [Accepted: 03/06/2024] [Indexed: 04/16/2024] Open
Abstract
As biodiversity loss outpaces recovery, conservationists are increasingly turning to novel tools for preventing extinction, including cloning and in vitro gametogenesis of biobanked cells. However, restoration of populations can be hindered by low genetic diversity and deleterious genetic load. The persistence of the northern white rhino (Ceratotherium simum cottoni) now depends on the cryopreserved cells of 12 individuals. These banked genomes have higher genetic diversity than southern white rhinos (C. s. simum), a sister subspecies that successfully recovered from a severe bottleneck, but the potential impact of genetic load is unknown. We estimated how demographic history has shaped genome-wide genetic load in nine northern and 13 southern white rhinos. The bottleneck left southern white rhinos with more fixed and homozygous deleterious alleles and longer runs of homozygosity, whereas northern white rhinos retained more deleterious alleles masked in heterozygosity. To gauge the impact of genetic load on the fitness of a northern white rhino population restored from biobanked cells, we simulated recovery using fitness of southern white rhinos as a benchmark for a viable population. Unlike traditional restoration, cell-derived founders can be reintroduced in subsequent generations to boost lost genetic diversity and relieve inbreeding. In simulations with repeated reintroduction of founders into a restored population, the fitness cost of genetic load remained lower than that borne by southern white rhinos. Without reintroductions, rapid growth of the restored population (>20-30% per generation) would be needed to maintain comparable fitness. Our results suggest that inbreeding depression from genetic load is not necessarily a barrier to recovery of the northern white rhino and demonstrate how restoration from biobanked cells relieves some constraints of conventional restoration from a limited founder pool. Established conservation methods that protect healthy populations will remain paramount, but emerging technologies hold promise to bolster these tools to combat the extinction crisis.
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Affiliation(s)
- Aryn P. Wilder
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Cynthia C. Steiner
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Sarah Hendricks
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
- Institute for Interdisciplinary Data SciencesUniversity of IdahoMoscowIdahoUSA
| | | | - Chang Kim
- University of CaliforniaSanta Cruz Genomics InstituteSanta CruzCaliforniaUSA
- Department of Neurological SurgeryUniversity of CaliforniaSan FranciscoCaliforniaUSA
| | - Marisa L. Korody
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
| | - Oliver A. Ryder
- Conservation GeneticsSan Diego Zoo Wildlife AllianceEscondidoCaliforniaUSA
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8
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Bourgeois Y, Warren BH, Augiron S. The burden of anthropogenic changes and mutation load in a critically endangered harrier from the Reunion biodiversity hotspot, Circus maillardi. Mol Ecol 2024; 33:e17300. [PMID: 38372440 DOI: 10.1111/mec.17300] [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: 08/09/2022] [Revised: 01/18/2024] [Accepted: 01/30/2024] [Indexed: 02/20/2024]
Abstract
Anthropogenic impact is causing the decline of a large proportion of species worldwide and reduces their genetic diversity. Island species typically have smaller ranges than continental species. As a consequence, island species are particularly liable to undergo population bottlenecks, giving rise to conservation challenges such as inbreeding and unmasking of deleterious genetic load. Such challenges call for more detailed assessments of the genetic make-up of threatened island populations. The Mascarene islands (Indian Ocean) present many prime examples, being unusual in having been pristine until first human arrival ~400 years ago, following which anthropogenic pressure was unusually intense. A threatened harrier (Circus maillardi) endemic to the westernmost island of the archipelago is a good example of the challenges faced by species that have declined to small population size following intense anthropogenic pressure. In this study, we use an extensive set of population genomic tools to quantify variation at near-neutral and coding loci, in order to test the historical impact of human activity on this species, and evaluate the species' (mal)adaptive potential. We observed low but significant genetic differentiation between populations on the West and North-East sides of the island, echoing observations in other endemic species. Inbreeding was significant, with a substantial fraction of samples being first or second-degree relatives. Historical effective population sizes have declined from ~3000 to 300 individuals in the past 1000 years, with a more recent drop ~100 years ago consistent with human activity. Based on our simulations and comparisons with a close relative (Circus melanoleucos), this demographic history may have allowed purging of the most deleterious variants but is unlikely to have allowed the purging of mildly deleterious variants. Our study shows how using relatively affordable methods can reveal the massive impact that human activity may have on the genetic diversity and adaptive potential of island populations, and calls for urgent action to closely monitor the reproductive success of such endemic populations, in association with genetic studies.
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Affiliation(s)
- Yann Bourgeois
- DIADE, University of Montpellier, CIRAD, IRD, Montpellier, France
- School of Biological Sciences, University of Portsmouth, Portsmouth, UK
| | - Ben H Warren
- Institut de Systématique, Evolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, Sorbonne Université, EPHE, UA, Paris, France
| | - Steve Augiron
- Société d'Études Ornithologiques de La Réunion, Saint-André, France
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9
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Bukhman YV, Morin PA, Meyer S, Chu LF, Jacobsen JK, Antosiewicz-Bourget J, Mamott D, Gonzales M, Argus C, Bolin J, Berres ME, Fedrigo O, Steill J, Swanson SA, Jiang P, Rhie A, Formenti G, Phillippy AM, Harris RS, Wood JMD, Howe K, Kirilenko BM, Munegowda C, Hiller M, Jain A, Kihara D, Johnston JS, Ionkov A, Raja K, Toh H, Lang A, Wolf M, Jarvis ED, Thomson JA, Chaisson MJP, Stewart R. A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography. Mol Biol Evol 2024; 41:msae036. [PMID: 38376487 PMCID: PMC10919930 DOI: 10.1093/molbev/msae036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 01/11/2024] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
The blue whale, Balaenoptera musculus, is the largest animal known to have ever existed, making it an important case study in longevity and resistance to cancer. To further this and other blue whale-related research, we report a reference-quality, long-read-based genome assembly of this fascinating species. We assembled the genome from PacBio long reads and utilized Illumina/10×, optical maps, and Hi-C data for scaffolding, polishing, and manual curation. We also provided long read RNA-seq data to facilitate the annotation of the assembly by NCBI and Ensembl. Additionally, we annotated both haplotypes using TOGA and measured the genome size by flow cytometry. We then compared the blue whale genome with other cetaceans and artiodactyls, including vaquita (Phocoena sinus), the world's smallest cetacean, to investigate blue whale's unique biological traits. We found a dramatic amplification of several genes in the blue whale genome resulting from a recent burst in segmental duplications, though the possible connection between this amplification and giant body size requires further study. We also discovered sites in the insulin-like growth factor-1 gene correlated with body size in cetaceans. Finally, using our assembly to examine the heterozygosity and historical demography of Pacific and Atlantic blue whale populations, we found that the genomes of both populations are highly heterozygous and that their genetic isolation dates to the last interglacial period. Taken together, these results indicate how a high-quality, annotated blue whale genome will serve as an important resource for biology, evolution, and conservation research.
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Affiliation(s)
- Yury V Bukhman
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Phillip A Morin
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Susanne Meyer
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Li-Fang Chu
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Comparative Biology and Experimental Medicine, University of Calgary, Calgary, Canada
| | | | | | - Daniel Mamott
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Maylie Gonzales
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Cara Argus
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Jennifer Bolin
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Mark E Berres
- University of Wisconsin Biotechnology Center, Bioinformatics Resource Center, University of Wisconsin - Madison, Madison, WI 53706, USA
| | - Olivier Fedrigo
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
| | - John Steill
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Scott A Swanson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Peng Jiang
- Center for Gene Regulation in Health and Disease (GRHD), Cleveland State University, Cleveland, OH, USA
- Department of Biological, Geological and Environmental Sciences, Cleveland State University, Cleveland, OH, USA
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Arang Rhie
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Giulio Formenti
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - Adam M Phillippy
- Genome Informatics Section, National Human Genome Research Institute, Bethesda, MD 20892, USA
| | - Robert S Harris
- Department of Biology, Pennsylvania State University, University Park, PA 16802, USA
| | | | - Kerstin Howe
- Tree of Life, Wellcome Sanger Institute, Cambridge CB10 1SA, UK
| | - Bogdan M Kirilenko
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Chetan Munegowda
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Michael Hiller
- LOEWE Centre for Translational Biodiversity Genomics, 60325 Frankfurt, Germany
- Senckenberg Research Institute, 60325 Frankfurt, Germany
- Institute of Cell Biology and Neuroscience, Faculty of Biosciences, Goethe University Frankfurt, 60438 Frankfurt, Germany
| | - Aashish Jain
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
| | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47907, USA
| | - J Spencer Johnston
- Department of Entomology, Texas A&M University, College Station, TX 77843, USA
| | - Alexander Ionkov
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Kalpana Raja
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
| | - Huishi Toh
- Neuroscience Research Institute, University of California, Santa Barbara, CA, USA
| | - Aimee Lang
- Southwest Fisheries Science Center, National Oceanic and Atmospheric Administration (NOAA), La Jolla, CA 92037, USA
| | - Magnus Wolf
- Institute for Evolution and Biodiversity (IEB), University of Muenster, 48149, Muenster, Germany
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt am Main, Germany
| | - Erich D Jarvis
- Vertebrate Genome Lab, The Rockefeller University, New York, NY 10065, USA
- Laboratory of Neurogenetics of Language, The Rockefeller University/HHMI, New York, NY 10065, USA
| | - James A Thomson
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
- Department of Molecular, Cellular and Developmental Biology, University of California Santa Barbara, Santa Barbara, CA 93106, USA
- Department of Cell and Regenerative Biology, University of Wisconsin School of Medicine and Public Health, Madison, WI 53726, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, Los Angeles, CA 90089, USA
| | - Ron Stewart
- Regenerative Biology, Morgridge Institute for Research, Madison, WI 53715, USA
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10
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Kellner FL, Le Moullec M, Ellegaard MR, Rosvold J, Peeters B, Burnett HA, Pedersen ÅØ, Brealey JC, Dussex N, Bieker VC, Hansen BB, Martin MD. A palaeogenomic investigation of overharvest implications in an endemic wild reindeer subspecies. Mol Ecol 2024; 33:e17274. [PMID: 38279681 DOI: 10.1111/mec.17274] [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: 04/24/2023] [Revised: 12/11/2023] [Accepted: 01/09/2024] [Indexed: 01/28/2024]
Abstract
Overharvest can severely reduce the abundance and distribution of a species and thereby impact its genetic diversity and threaten its future viability. Overharvest remains an ongoing issue for Arctic mammals, which due to climate change now also confront one of the fastest changing environments on Earth. The high-arctic Svalbard reindeer (Rangifer tarandus platyrhynchus), endemic to Svalbard, experienced a harvest-induced demographic bottleneck that occurred during the 17-20th centuries. Here, we investigate changes in genetic diversity, population structure, and gene-specific differentiation during and after this overharvesting event. Using whole-genome shotgun sequencing, we generated the first ancient and historical nuclear (n = 11) and mitochondrial (n = 18) genomes from Svalbard reindeer (up to 4000 BP) and integrated these data with a large collection of modern genome sequences (n = 90) to infer temporal changes. We show that hunting resulted in major genetic changes and restructuring in reindeer populations. Near-extirpation followed by pronounced genetic drift has altered the allele frequencies of important genes contributing to diverse biological functions. Median heterozygosity was reduced by 26%, while the mitochondrial genetic diversity was reduced only to a limited extent, likely due to already low pre-harvest diversity and a complex post-harvest recolonization process. Such genomic erosion and genetic isolation of populations due to past anthropogenic disturbance will likely play a major role in metapopulation dynamics (i.e., extirpation, recolonization) under further climate change. Our results from a high-arctic case study therefore emphasize the need to understand the long-term interplay of past, current, and future stressors in wildlife conservation.
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Affiliation(s)
- Fabian L Kellner
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Mathilde Le Moullec
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Mammals and Birds, Greenland Institute of Natural Resources (GINR), Nuuk, Greenland
| | - Martin R Ellegaard
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Jørgen Rosvold
- Department of Terrestrial Biodiversity, Norwegian Institute for Nature Research (NINA), Trondheim, Norway
| | - Bart Peeters
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Hamish A Burnett
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | | | - Jaelle C Brealey
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Nicolas Dussex
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Vanessa C Bieker
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Brage B Hansen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Department of Terrestrial Ecology, Norwegian Institute for Nature Research (NINA), Trondheim, Norway
| | - Michael D Martin
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
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11
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Schmidt TL, Thia JA, Hoffmann AA. How Can Genomics Help or Hinder Wildlife Conservation? Annu Rev Anim Biosci 2024; 12:45-68. [PMID: 37788416 DOI: 10.1146/annurev-animal-021022-051810] [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] [Indexed: 10/05/2023]
Abstract
Genomic data are becoming increasingly affordable and easy to collect, and new tools for their analysis are appearing rapidly. Conservation biologists are interested in using this information to assist in management and planning but are typically limited financially and by the lack of genomic resources available for non-model taxa. It is therefore important to be aware of the pitfalls as well as the benefits of applying genomic approaches. Here, we highlight recent methods aimed at standardizing population assessments of genetic variation, inbreeding, and forms of genetic load and methods that help identify past and ongoing patterns of genetic interchange between populations, including those subjected to recent disturbance. We emphasize challenges in applying some of these methods and the need for adequate bioinformatic support. We also consider the promises and challenges of applying genomic approaches to understand adaptive changes in natural populations to predict their future adaptive capacity.
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Affiliation(s)
- Thomas L Schmidt
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Joshua A Thia
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
| | - Ary A Hoffmann
- School of BioSciences, Bio21 Institute, University of Melbourne, Parkville, Victoria, Australia;
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12
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Arpin KE, Schmidt DA, Sjodin BMF, Einfeldt AL, Galbreath K, Russello MA. Evaluating genotyping-in-thousands by sequencing as a genetic monitoring tool for a climate sentinel mammal using non-invasive and archival samples. Ecol Evol 2024; 14:e10934. [PMID: 38333095 PMCID: PMC10850814 DOI: 10.1002/ece3.10934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 12/01/2023] [Accepted: 01/19/2024] [Indexed: 02/10/2024] Open
Abstract
Genetic tools for wildlife monitoring can provide valuable information on spatiotemporal population trends and connectivity, particularly in systems experiencing rapid environmental change. Multiplexed targeted amplicon sequencing techniques, such as genotyping-in-thousands by sequencing (GT-seq), can provide cost-effective approaches for collecting genetic data from low-quality and quantity DNA samples, making them potentially useful for long-term wildlife monitoring using non-invasive and archival samples. Here, we developed a GT-seq panel as a potential monitoring tool for the American pika (Ochotona princeps) and evaluated its performance when applied to traditional, non-invasive, and archival samples, respectively. Specifically, we optimized a GT-seq panel (307 single nucleotide polymorphisms (SNPs)) that included neutral, sex-associated, and putatively adaptive SNPs using contemporary tissue samples (n = 77) from the Northern Rocky Mountains lineage of American pikas. The panel demonstrated high genotyping success (94.7%), low genotyping error (0.001%), and excellent performance identifying individuals, sex, relatedness, and population structure. We subsequently applied the GT-seq panel to archival tissue (n = 17) and contemporary fecal pellet samples (n = 129) collected within the Canadian Rocky Mountains to evaluate its effectiveness. Although the panel demonstrated high efficacy with archival tissue samples (90.5% genotyping success, 0.0% genotyping error), this was not the case for the fecal pellet samples (79.7% genotyping success, 28.4% genotyping error) likely due to the exceptionally low quality/quantity of recovered DNA using the approaches implemented. Overall, our study reinforced GT-seq as an effective tool using contemporary and archival tissue samples, providing future opportunities for temporal applications using historical specimens. Our results further highlight the need for additional optimization of sample and genetic data collection techniques prior to broader-scale implementation of a non-invasive genetic monitoring tool for American pikas.
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Affiliation(s)
- Kate E. Arpin
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | - Danielle A. Schmidt
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | - Bryson M. F. Sjodin
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
| | | | - Kurt Galbreath
- Department of BiologyNorthern Michigan UniversityMarquetteMichiganUSA
| | - Michael A. Russello
- Department of BiologyThe University of British ColumbiaKelownaBritish ColumbiaCanada
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13
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Lucena-Perez M, Paijmans JLA, Nocete F, Nadal J, Detry C, Dalén L, Hofreiter M, Barlow A, Godoy JA. Recent increase in species-wide diversity after interspecies introgression in the highly endangered Iberian lynx. Nat Ecol Evol 2024; 8:282-292. [PMID: 38225424 DOI: 10.1038/s41559-023-02267-7] [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: 06/30/2022] [Accepted: 11/10/2023] [Indexed: 01/17/2024]
Abstract
Genetic diversity is lost in small and isolated populations, affecting many globally declining species. Interspecific admixture events can increase genetic variation in the recipient species' gene pool, but empirical examples of species-wide restoration of genetic diversity by admixture are lacking. Here we present multi-fold coverage genomic data from three ancient Iberian lynx (Lynx pardinus) approximately 2,000-4,000 years old and show a continuous or recurrent process of interspecies admixture with the Eurasian lynx (Lynx lynx) that increased modern Iberian lynx genetic diversity above that occurring millennia ago despite its recent demographic decline. Our results add to the accumulating evidence for natural admixture and introgression among closely related species and show that this can result in an increase of species-wide genetic diversity in highly genetically eroded species. The strict avoidance of interspecific sources in current genetic restoration measures needs to be carefully reconsidered, particularly in cases where no conspecific source population exists.
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Affiliation(s)
- Maria Lucena-Perez
- Department of Ecology and Evolution, Estación Biológica de Doñana, CSIC, Seville, Spain
| | - Johanna L A Paijmans
- Evolutionary Adaptive Genomics, University of Potsdam, Potsdam, Germany
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Francisco Nocete
- Grupo de Investigación MIDAS, Departamento Historia I (Prehistoria), Universidad de Huelva, Huelva, Spain
| | - Jordi Nadal
- SERP, Departament de Prehistoria, Historia Antiga i Arqueologia, Universitat de Barcelona, Barcelona, Spain
| | - Cleia Detry
- UNIARQ - Centro de Arqueologia da Faculdade de Letras da Universidade de Lisboa, Alameda da Universidade, Lisbon, Portugal
| | - Love Dalén
- Centre for Palaeogenetics, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden
| | - Michael Hofreiter
- Evolutionary Adaptive Genomics, University of Potsdam, Potsdam, Germany
| | - Axel Barlow
- School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, UK
| | - José A Godoy
- Department of Ecology and Evolution, Estación Biológica de Doñana, CSIC, Seville, Spain.
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14
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van der Valk T, Jensen A, Caillaud D, Guschanski K. Comparative genomic analyses provide new insights into evolutionary history and conservation genomics of gorillas. BMC Ecol Evol 2024; 24:14. [PMID: 38273244 PMCID: PMC10811819 DOI: 10.1186/s12862-023-02195-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: 06/30/2023] [Accepted: 12/22/2023] [Indexed: 01/27/2024] Open
Abstract
Genome sequencing is a powerful tool to understand species evolutionary history, uncover genes under selection, which could be informative of local adaptation, and infer measures of genetic diversity, inbreeding and mutational load that could be used to inform conservation efforts. Gorillas, critically endangered primates, have received considerable attention and with the recently sequenced Bwindi mountain gorilla population, genomic data is now available from all gorilla subspecies and both mountain gorilla populations. Here, we reanalysed this rich dataset with a focus on evolutionary history, local adaptation and genomic parameters relevant for conservation. We estimate a recent split between western and eastern gorillas of 150,000-180,000 years ago, with gene flow around 20,000 years ago, primarily between the Cross River and Grauer's gorilla subspecies. This gene flow event likely obscures evolutionary relationships within eastern gorillas: after excluding putatively introgressed genomic regions, we uncover a sister relationship between Virunga mountain gorillas and Grauer's gorillas to the exclusion of Bwindi mountain gorillas. This makes mountain gorillas paraphyletic. Eastern gorillas are less genetically diverse and more inbred than western gorillas, yet we detected lower genetic load in the eastern species. Analyses of indels fit remarkably well with differences in genetic diversity across gorilla taxa as recovered with nucleotide diversity measures. We also identified genes under selection and unique gene variants specific for each gorilla subspecies, encoding, among others, traits involved in immunity, diet, muscular development, hair morphology and behavior. The presence of this functional variation suggests that the subspecies may be locally adapted. In conclusion, using extensive genomic resources we provide a comprehensive overview of gorilla genomic diversity, including a so-far understudied Bwindi mountain gorilla population, identify putative genes involved in local adaptation, and detect population-specific gene flow across gorilla species.
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Affiliation(s)
- Tom van der Valk
- Centre for Palaeogenetics, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, Stockholm, Sweden.
- SciLifeLab, Stockholm, Sweden.
- Department of Zoology, Stockholm University, Stockholm, Sweden.
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
| | - Damien Caillaud
- Department of Anthropology, University of CA - Davis, Davis, California, USA
| | - Katerina Guschanski
- SciLifeLab, Stockholm, Sweden
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
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15
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Benham PM, Walsh J, Bowie RCK. Spatial variation in population genomic responses to over a century of anthropogenic change within a tidal marsh songbird. GLOBAL CHANGE BIOLOGY 2024; 30:e17126. [PMID: 38273486 DOI: 10.1111/gcb.17126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/22/2023] [Accepted: 12/13/2023] [Indexed: 01/27/2024]
Abstract
Combating the current biodiversity crisis requires the accurate documentation of population responses to human-induced ecological change. However, our ability to pinpoint population responses to human activities is often limited to the analysis of populations studied well after the fact. Museum collections preserve a record of population responses to anthropogenic change that can provide critical baseline data on patterns of genetic diversity, connectivity, and population structure prior to the onset of human perturbation. Here, we leverage a spatially replicated time series of specimens to document population genomic responses to the destruction of nearly 90% of coastal habitats occupied by the Savannah sparrow (Passerculus sandwichensis) in California. We sequenced 219 sparrows collected from 1889 to 2017 across the state of California using an exome capture approach. Spatial-temporal analyses of genetic diversity found that the amount of habitat lost was not predictive of genetic diversity loss. Sparrow populations from southern California historically exhibited lower levels of genetic diversity and experienced the most significant temporal declines in genetic diversity. Despite experiencing the greatest levels of habitat loss, we found that genetic diversity in the San Francisco Bay area remained relatively high. This was potentially related to an observed increase in gene flow into the Bay Area from other populations. While gene flow may have minimized genetic diversity declines, we also found that immigration from inland freshwater-adapted populations into tidal marsh populations led to the erosion of divergence at loci associated with tidal marsh adaptation. Shifting patterns of gene flow through time in response to habitat loss may thus contribute to negative fitness consequences and outbreeding depression. Together, our results underscore the importance of tracing the genomic trajectories of multiple populations over time to address issues of fundamental conservation concern.
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Affiliation(s)
- Phred M Benham
- Museum of Vertebrate Zoology, University of California, Berkeley, Berkeley, California, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, California, USA
| | - Jennifer Walsh
- Fuller Evolutionary Biology Program, Cornell Lab of Ornithology, Cornell University, Ithaca, New York, USA
| | - Rauri C K Bowie
- Museum of Vertebrate Zoology, University of California, Berkeley, Berkeley, California, USA
- Department of Integrative Biology, University of California, Berkeley, Berkeley, California, USA
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16
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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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17
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Ålund M, Cenzer M, Bierne N, Boughman JW, Cerca J, Comerford MS, Culicchi A, Langerhans B, McFarlane SE, Möst MH, North H, Qvarnström A, Ravinet M, Svanbäck R, Taylor SA. Anthropogenic Change and the Process of Speciation. Cold Spring Harb Perspect Biol 2023; 15:a041455. [PMID: 37788888 PMCID: PMC10691492 DOI: 10.1101/cshperspect.a041455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Anthropogenic impacts on the environment alter speciation processes by affecting both geographical contexts and selection patterns on a worldwide scale. Here we review evidence of these effects. We find that human activities often generate spatial isolation between populations and thereby promote genetic divergence but also frequently cause sudden secondary contact and hybridization between diverging lineages. Human-caused environmental changes produce new ecological niches, altering selection in diverse ways that can drive diversification; but changes also often remove niches and cause extirpations. Human impacts that alter selection regimes are widespread and strong in magnitude, ranging from local changes in biotic and abiotic conditions to direct harvesting to global climate change. Altered selection, and evolutionary responses to it, impacts early-stage divergence of lineages, but does not necessarily lead toward speciation and persistence of separate species. Altogether, humans both promote and hinder speciation, although new species would form very slowly relative to anthropogenic hybridization, which can be nearly instantaneous. Speculating about the future of speciation, we highlight two key conclusions: (1) Humans will have a large influence on extinction and "despeciation" dynamics in the short term and on early-stage lineage divergence, and thus potentially speciation in the longer term, and (2) long-term monitoring combined with easily dated anthropogenic changes will improve our understanding of the processes of speciation. We can use this knowledge to preserve and restore ecosystems in ways that promote (re-)diversification, increasing future opportunities of speciation and enhancing biodiversity.
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Affiliation(s)
- Murielle Ålund
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala 75236, Sweden
| | - Meredith Cenzer
- Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA
| | - Nicolas Bierne
- ISEM, Université de Montpellier, CNRS, IRD, Montpellier 34095, France
| | - Janette W Boughman
- Department of Integrative Biology, Michigan State University, East Lansing, Michigan 48824, USA
| | - José Cerca
- CEES - Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Oslo 0316, Norway
| | | | - Alessandro Culicchi
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala 75236, Sweden
| | - Brian Langerhans
- Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina 27695, USA
| | - S Eryn McFarlane
- Department of Botany, University of Wyoming, Laramie, Wyoming 82071, USA
- Department of Biology, York University, Toronto, Ontario M3J 1P3, Canada
| | - Markus H Möst
- Research Department for Limnology, University of Innsbruck, Innsbruck 6020, Austria
| | - Henry North
- Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom
| | - Anna Qvarnström
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala 75236, Sweden
| | - Mark Ravinet
- School of Life Sciences, University of Nottingham, University Park, Nottingham NG7 2RD, United Kingdom
| | - Richard Svanbäck
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala 75236, Sweden
| | - Scott A Taylor
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, Colorado 80309, USA
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18
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Kim AS, Kreiner JM, Hernández F, Bock DG, Hodgins KA, Rieseberg LH. Temporal collections to study invasion biology. Mol Ecol 2023; 32:6729-6742. [PMID: 37873879 DOI: 10.1111/mec.17176] [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: 08/22/2023] [Revised: 10/07/2023] [Accepted: 10/11/2023] [Indexed: 10/25/2023]
Abstract
Biological invasions represent an extraordinary opportunity to study evolution. This is because accidental or deliberate species introductions have taken place for centuries across large geographical scales, frequently prompting rapid evolutionary transitions in invasive populations. Until recently, however, the utility of invasions as evolutionary experiments has been hampered by limited information on the makeup of populations that were part of earlier invasion stages. Now, developments in ancient and historical DNA technologies, as well as the quickening pace of digitization for millions of specimens that are housed in herbaria and museums globally, promise to help overcome this obstacle. In this review, we first introduce the types of temporal data that can be used to study invasions, highlighting the timescale captured by each approach and their respective limitations. We then discuss how ancient and historical specimens as well as data available from prior invasion studies can be used to answer questions on mechanisms of (mal)adaptation, rates of evolution, or community-level changes during invasions. By bridging the gap between contemporary and historical invasive populations, temporal data can help us connect pattern to process in invasion science. These data will become increasingly important if invasions are to achieve their full potential as experiments of evolution in nature.
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Affiliation(s)
- Amy S Kim
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Julia M Kreiner
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Fernando Hernández
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Dan G Bock
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
| | - Kathryn A Hodgins
- School of Biological Sciences, Monash University, Melbourne, Victoria, Australia
| | - Loren H Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada
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19
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Dussex N, Kurland S, Olsen RA, Spong G, Ericsson G, Ekblom R, Ryman N, Dalén L, Laikre L. Range-wide and temporal genomic analyses reveal the consequences of near-extinction in Swedish moose. Commun Biol 2023; 6:1035. [PMID: 37848497 PMCID: PMC10582009 DOI: 10.1038/s42003-023-05385-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
Ungulate species have experienced severe declines over the past centuries through overharvesting and habitat loss. Even if many game species have recovered thanks to strict hunting regulation, the genome-wide impacts of overharvesting are still unclear. Here, we examine the temporal and geographical differences in genome-wide diversity in moose (Alces alces) over its whole range in Sweden by sequencing 87 modern and historical genomes. We found limited impact of the 1900s near-extinction event but local variation in inbreeding and load in modern populations, as well as suggestion of a risk of future reduction in genetic diversity and gene flow. Furthermore, we found candidate genes for local adaptation, and rapid temporal allele frequency shifts involving coding genes since the 1980s, possibly due to selective harvesting. Our results highlight that genomic changes potentially impacting fitness can occur over short time scales and underline the need to track both deleterious and selectively advantageous genomic variation.
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Affiliation(s)
- Nicolas Dussex
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden.
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden.
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden.
- Norwegian University of Science and Technology, University Museum, Trondheim, NO-7491, Norway.
| | - Sara Kurland
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
| | - Remi-André Olsen
- Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, SE-171 21, Solna, Sweden
| | - Göran Spong
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden
| | - Göran Ericsson
- Department of Wildlife, Fish, and Environmental Studies, Swedish University of Agricultural Sciences, SE-901 83, Umeå, Sweden
| | - Robert Ekblom
- Wildlife Analysis Unit, Swedish Environmental Protection Agency, SE-106 48, Stockholm, Sweden
| | - Nils Ryman
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
| | - Love Dalén
- Centre for Palaeogenetics, Svante Arrhenius väg 20C, SE-106 91, Stockholm, Sweden
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden
| | - Linda Laikre
- Department of Zoology, Division of Population Genetics, Stockholm University, SE-106 91, Stockholm, Sweden.
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20
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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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21
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Rasmussen L, Fontsere C, Soto-Calderón ID, Guillen R, Savage A, Hansen AJ, Hvilsom C, Gilbert MTP. Assessing the genetic composition of cotton-top tamarins (Saguinus oedipus) before sweeping anthropogenic impact. Mol Ecol 2023; 32:5514-5527. [PMID: 37702122 DOI: 10.1111/mec.17130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 08/14/2023] [Accepted: 08/30/2023] [Indexed: 09/14/2023]
Abstract
During the last century, the critically endangered cotton-top tamarin (Saguinus oedipus) has been threatened by multiple anthropogenic factors that drastically affected their habitat and population size. As the genetic impact of these pressures is largely unknown, this study aimed to establish a genetic baseline with the use of temporal sampling to determine the genetic makeup before detrimental anthropogenic impact. Genomes were resequenced from a combination of historical museum samples and modern wild samples at low-medium coverage, to unravel how the cotton-top tamarin population structure and genomic diversity may have changed during this period. Our data suggest two populations can be differentiated, probably separated historically by the mountain ranges of the Paramillo Massif in Colombia. Although this population structure persists in the current populations, modern samples exhibit genomic signals consistent with recent inbreeding, such as long runs of homozygosity and a reduction in genome-wide heterozygosity especially in the greater northeast population. This loss is likely the consequence of the population reduction following the mass exportation of cotton-top tamarins for biomedical research in the 1960s, coupled with the habitat loss this species continues to experience. However, current populations have not experienced an increase in genetic load. We propose that the historical genetic baseline established in this study can be used to provide insight into alteration in the modern population influenced by a drastic reduction in population size as well as providing background information to be used for future conservation decision-making for the species.
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Affiliation(s)
- Linett Rasmussen
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Research and Conservation, Copenhagen Zoo, Frederiksberg, Denmark
| | - Claudia Fontsere
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Iván D Soto-Calderón
- Laboratorio de Genética Animal. Grupo Agrociencias, Biodiversidad y Territorio, Instituto de Biología, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia, Medellín, Medellín, Colombia
| | | | | | - Anders Johannes Hansen
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | | | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- University Museum, NTNU, Trondheim, Norway
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22
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Pawar H, Rymbekova A, Cuadros-Espinoza S, Huang X, de Manuel M, van der Valk T, Lobon I, Alvarez-Estape M, Haber M, Dolgova O, Han S, Esteller-Cucala P, Juan D, Ayub Q, Bautista R, Kelley JL, Cornejo OE, Lao O, Andrés AM, Guschanski K, Ssebide B, Cranfield M, Tyler-Smith C, Xue Y, Prado-Martinez J, Marques-Bonet T, Kuhlwilm M. Ghost admixture in eastern gorillas. Nat Ecol Evol 2023; 7:1503-1514. [PMID: 37500909 PMCID: PMC10482688 DOI: 10.1038/s41559-023-02145-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 06/30/2023] [Indexed: 07/29/2023]
Abstract
Archaic admixture has had a substantial impact on human evolution with multiple events across different clades, including from extinct hominins such as Neanderthals and Denisovans into modern humans. In great apes, archaic admixture has been identified in chimpanzees and bonobos but the possibility of such events has not been explored in other species. Here, we address this question using high-coverage whole-genome sequences from all four extant gorilla subspecies, including six newly sequenced eastern gorillas from previously unsampled geographic regions. Using approximate Bayesian computation with neural networks to model the demographic history of gorillas, we find a signature of admixture from an archaic 'ghost' lineage into the common ancestor of eastern gorillas but not western gorillas. We infer that up to 3% of the genome of these individuals is introgressed from an archaic lineage that diverged more than 3 million years ago from the common ancestor of all extant gorillas. This introgression event took place before the split of mountain and eastern lowland gorillas, probably more than 40 thousand years ago and may have influenced perception of bitter taste in eastern gorillas. When comparing the introgression landscapes of gorillas, humans and bonobos, we find a consistent depletion of introgressed fragments on the X chromosome across these species. However, depletion in protein-coding content is not detectable in eastern gorillas, possibly as a consequence of stronger genetic drift in this species.
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Affiliation(s)
- Harvinder Pawar
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Aigerim Rymbekova
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Wien, Austria
| | | | - Xin Huang
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Wien, Austria
| | - Marc de Manuel
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Tom van der Valk
- Department of Bioinformatics and Genetics, Scilifelab, Swedish Museum of Natural History, Stockholm, Sweden
- Centre for Palaeogenetics, Stockholm, Sweden
| | - Irene Lobon
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | | | - Marc Haber
- Institute of Cancer and Genomic Sciences, University of Birmingham, Dubai, United Arab Emirates
| | - Olga Dolgova
- Integrative Genomics Lab, CIC bioGUNE-Centro de Investigación Cooperativa en Biociencias, Parque Científico Tecnológico de Bizkaia building 801A, Derio, Spain
| | - Sojung Han
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Wien, Austria
| | | | - David Juan
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Qasim Ayub
- Wellcome Sanger Institute, Hinxton, UK
- Monash University Malaysia Genomics Facility, School of Science, Monash University Malaysia, Selangor Darul Ehsan, Malaysia
| | | | - Joanna L Kelley
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Omar E Cornejo
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA, USA
| | - Oscar Lao
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
| | - Aida M Andrés
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Katerina Guschanski
- Animal Ecology, Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
- Science for Life Laboratory, Uppsala, Sweden
| | | | - Mike Cranfield
- Gorilla Doctors, Karen C. Drayer Wildlife Health Center, One Health Institute, University of California Davis, School of Veterinary Medicine, Davis, CA, USA
| | | | - Yali Xue
- Wellcome Sanger Institute, Hinxton, UK
| | - Javier Prado-Martinez
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain
- Wellcome Sanger Institute, Hinxton, UK
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain.
- Catalan Institution of Research and Advanced Studies (ICREA), Passeig de Lluís Companys, Barcelona, Spain.
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Edifici ICTA-ICP, Barcelona, Spain.
| | - Martin Kuhlwilm
- Institute of Evolutionary Biology (UPF-CSIC), PRBB, Barcelona, Spain.
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria.
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Wien, Austria.
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23
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Settlecowski AE, Marks BD, Manthey JD. Library preparation method and DNA source influence endogenous DNA recovery from 100-year-old avian museum specimens. Ecol Evol 2023; 13:e10407. [PMID: 37565027 PMCID: PMC10410627 DOI: 10.1002/ece3.10407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 06/28/2023] [Accepted: 07/21/2023] [Indexed: 08/12/2023] Open
Abstract
Museum specimens collected prior to cryogenic tissue storage are increasingly being used as genetic resources, and though high-throughput sequencing is becoming more cost-efficient, whole genome sequencing (WGS) of historical DNA (hDNA) remains inefficient and costly due to its short fragment sizes and high loads of exogenous DNA, among other factors. It is also unclear how sequencing efficiency is influenced by DNA sources. We aimed to identify the most efficient method and DNA source for collecting WGS data from avian museum specimens. We analyzed low-coverage WGS from 60 DNA libraries prepared from four American Robin (Turdus migratorius) and four Abyssinian Thrush (Turdus abyssinicus) specimens collected in the 1920s. We compared DNA source (toepad versus incision-line skin clip) and three library preparation methods: (1) double-stranded DNA (dsDNA), single tube (KAPA); (2) single-stranded DNA (ssDNA), multi-tube (IDT); and (3) ssDNA, single tube (Claret Bioscience). We found that the ssDNA, multi-tube method resulted in significantly greater endogenous DNA content, average read length, and sequencing efficiency than the other tested methods. We also tested whether a predigestion step reduced exogenous DNA in libraries from one specimen per species and found promising results that warrant further study. The ~10% increase in average sequencing efficiency of the best-performing method over a commonly implemented dsDNA library preparation method has the potential to significantly increase WGS coverage of hDNA from bird specimens. Future work should evaluate the threshold for specimen age at which these results hold and how the combination of library preparation method and DNA source influence WGS in other taxa.
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Affiliation(s)
- Amie E. Settlecowski
- Bird Collection Gantz Family Collections CenterThe Field MuseumChicagoIllinoisUSA
| | - Ben D. Marks
- Bird Collection Gantz Family Collections CenterThe Field MuseumChicagoIllinoisUSA
| | - Joseph D. Manthey
- Department of Biological SciencesTexas Tech UniversityLubbockTexasUSA
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24
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Kuderna LFK, Gao H, Janiak MC, Kuhlwilm M, Orkin JD, Bataillon T, Manu S, Valenzuela A, Bergman J, Rousselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath JE, Hvilsom C, Juan D, Frandsen P, Schraiber JG, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, Valsecchi J, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin AD, Guschanski K, Schierup MH, Beck RMD, Umapathy G, Roos C, Boubli JP, Rogers J, Farh KKH, Marques Bonet T. A global catalog of whole-genome diversity from 233 primate species. Science 2023; 380:906-913. [PMID: 37262161 DOI: 10.1126/science.abn7829] [Citation(s) in RCA: 32] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Accepted: 02/06/2023] [Indexed: 06/03/2023]
Abstract
The rich diversity of morphology and behavior displayed across primate species provides an informative context in which to study the impact of genomic diversity on fundamental biological processes. Analysis of that diversity provides insight into long-standing questions in evolutionary and conservation biology and is urgent given severe threats these species are facing. Here, we present high-coverage whole-genome data from 233 primate species representing 86% of genera and all 16 families. This dataset was used, together with fossil calibration, to create a nuclear DNA phylogeny and to reassess evolutionary divergence times among primate clades. We found within-species genetic diversity across families and geographic regions to be associated with climate and sociality, but not with extinction risk. Furthermore, mutation rates differ across species, potentially influenced by effective population sizes. Lastly, we identified extensive recurrence of missense mutations previously thought to be human specific. This study will open a wide range of research avenues for future primate genomic research.
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Affiliation(s)
- Lukas F K Kuderna
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Mareike C Janiak
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Martin Kuhlwilm
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Department of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030 Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Austria
| | - Joseph D Orkin
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Département d'anthropologie, Université de Montréal, 3150 Jean-Brillant, Montréal, QC H3T 1N8, Canada
| | - Thomas Bataillon
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Shivakumara Manu
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Alejandro Valenzuela
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | | | - Felipe Ennes Silva
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development, Estrada da Bexiga 2584, CEP 69553-225, Tefé, Amazonas, Brazil
- Evolutionary Biology and Ecology (EBE), Département de Biologie des Organismes, Université libre de Bruxelles (ULB), Av. Franklin D. Roosevelt 50, CP 160/12, B-1050 Brussels Belgium
| | - Lidia Agueda
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Julie Blanc
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Dorien de Vries
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Ian Goodhead
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
| | | | - Julie E Horvath
- North Carolina Museum of Natural Sciences, Raleigh, NC 27601, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC 27707, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC 27695, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | | | - David Juan
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
| | | | - Joshua G Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | | | - Fabrício Bertuol
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
| | - Hazel Byrne
- Department of Anthropology, University of Utah, Salt Lake City. UT 84102, USA
| | | | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
| | - João Valsecchi
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development, Tefé, Amazonas, Brazil
- Rede de Pesquisa para Estudos sobre Diversidade, Conservação e Uso da Fauna na Amazônia - RedeFauna, Manaus, Amazonas, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica - ComFauna, Iquitos, Loreto, Peru
| | - Malu Messias
- Universidade Federal de Rondônia, Porto Velho, Rondônia, Brazil
| | | | - Mihir Trivedi
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Rogerio Rossi
- Instituto de Biociências, Universidade Federal do Mato Grosso, Cuiabá, MT, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Amazonas 69080-900, Brazil
- Department of Biology, Trinity University, San Antonio, TX 78212, USA
| | - Nicole Andriaholinirina
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clément J Rabarivola
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Alphonse Zaramody
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clifford J Jolly
- Department of Anthropology, New York University, New York, NY 10003, USA
| | - Jane Phillips-Conroy
- Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA
| | - Gregory Wilkerson
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | - Christian Abee
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | - Joe H Simmons
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop TX 78602, USA
| | | | - Sree Kanthaswamy
- School of Mathematical and Natural Sciences, Arizona State University, Phoenix, AZ 85004, USA
| | - Fekadu Shiferaw
- Guinea Worm Eradication Program, The Carter Center Ethiopia, Addis Ababa, Ethiopia
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Long Zhou
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
| | - Guojie Zhang
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou 310058, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, DK-2100 Copenhagen, Denmark
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China
- Liangzhu Laboratory, Zhejiang University Medical Center, 1369 West Wenyi Road, Hangzhou 311121, China
- Women's Hospital, School of Medicine, Zhejiang University, 1 Xueshi Road, Shangcheng District, Hangzhou 310006, China
| | - Julius D Keyyu
- Tanzania Wildlife Research Institute (TAWIRI), Head Office, P.O. Box 661, Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, 17493 Greifswald-Insel Riems, Germany
| | - Minh D Le
- Department of Environmental Ecology, Faculty of Environmental Sciences, University of Science and Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi, Vietnam
| | - Esther Lizano
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Stefan Merker
- Department of Zoology, State Museum of Natural History Stuttgart, Stuttgart, Germany
| | - Arcadi Navarro
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra. Pg. Luís Companys 23, 08010 Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Av. Doctor Aiguader, N88, 08003 Barcelona, Spain
- BarcelonaBeta Brain Research Center, Pasqual Maragall Foundation, C. Wellington 30, 08005 Barcelona, Spain
| | - Tilo Nadler
- Cuc Phuong Commune, Nho Quan District, Ninh Binh Province, Vietnam
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Jessica Lee
- Mandai Nature, 80 Mandai Lake Road, Singapore
| | - Patrick Tan
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Chambers Street, Edinburgh EH1 1JF, UK, and School of Geosciences, Drummond Street, Edinburgh EH8 9XP, UK
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, 37077 Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität Göttingen, 37077 Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, 37077 Göttingen, Germany
| | - Ivo Gut
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
| | - Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, 2500 University Dr NW, Calgary, AB T2N 1N4, Canada
- Department of Medical Genetics, University of Calgary, 3330 Hospital Drive NW, HMRB 202, Calgary, AB T2N 4N1, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, 3330 Hospital Drive NW, HMRB 202, Calgary, AB T2N 4N1, Canada
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, SE-75236 Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Robin M D Beck
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Govindhaswamy Umapathy
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad 500007, India
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Kellnerweg 4, 37077 Göttingen, Germany
| | - Jean P Boubli
- School of Science, Engineering & Environment, University of Salford, Salford M5 4WT, UK
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina Inc., Foster City, CA 94404, USA
| | - Tomas Marques Bonet
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra. PRBB, C. Doctor Aiguader N88, 08003 Barcelona, Spain
- CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Baldiri I Reixac 4, 08028 Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA) and Universitat Pompeu Fabra. Pg. Luís Companys 23, 08010 Barcelona, Spain
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25
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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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26
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Yan C, Song MH, Jiang D, Ren JL, Lv Y, Chang J, Huang S, Zaher H, Li JT. Genomic evidence reveals intraspecific divergence of the hot-spring snake (Thermophis baileyi), an endangered reptile endemic to the Qinghai-Tibet plateau. Mol Ecol 2023; 32:1335-1350. [PMID: 36073004 DOI: 10.1111/mec.16687] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/27/2022]
Abstract
Understanding how and why species evolve requires knowledge on intraspecific divergence. In this study, we examined intraspecific divergence in the endangered hot-spring snake (Thermophis baileyi), an endemic species on the Qinghai-Tibet Plateau (QTP). Whole-genome resequencing of 58 sampled individuals from 15 populations was performed to identify the drivers of intraspecific divergence and explore the potential roles of genes under selection. Our analyses resolved three groups, with major intergroup admixture occurring in regions of group contact. Divergence probably occurred during the Pleistocene as a result of glacial climatic oscillations, Yadong-Gulu rift, and geothermal fields differentiation, while complex gene flow between group pairs reflected a unique intraspecific divergence pattern on the QTP. Intergroup fixed loci involved selected genes functionally related to divergence and local adaptation, especially adaptation to hot spring microenvironments in different geothermal fields. Analysis of structural variants, genetic diversity, inbreeding, and genetic load indicated that the hot-spring snake population has declined to a low level with decreased diversity, which is important for the conservation management of this endangered species. Our study demonstrated that the integration of demographic history, gene flow, genomic divergence genes, and other information is necessary to distinguish the evolutionary processes involved in speciation.
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Affiliation(s)
- Chaochao Yan
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Meng-Huan Song
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Dechun Jiang
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jin-Long Ren
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Yunyun Lv
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China
| | - Jiang Chang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Song Huang
- College of Life Sciences, Anhui Normal University, Wuhu, China
| | - Hussam Zaher
- Museu de Zoologia, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Jia-Tang Li
- CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration and Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.,University of Chinese Academy of Sciences, Beijing, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.,Mangkang Biodiversity and Ecological Station, Tibet Ecological Safety Monitor Network, Changdu, China
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27
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Li A, Yang Q, Li R, Dai X, Cai K, Lei Y, Jia K, Jiang Y, Zan L. Chromosome-level genome assembly for takin (Budorcas taxicolor) provides insights into its taxonomic status and genetic diversity. Mol Ecol 2023; 32:1323-1334. [PMID: 35467052 DOI: 10.1111/mec.16483] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 03/29/2022] [Accepted: 04/17/2022] [Indexed: 11/29/2022]
Abstract
The takin (Budorcas taxicolor) is one of the largest bovid herbivores in the subfamily Caprinae. The takin is at high risk of extinction, but its taxonomic status and genetic diversity remain unclear. In this study, we constructed the first reference genome of Bu. taxicolor using PacBio long High-Fidelity reads and Hi-C technology. The assembled genome is ~2.95 Gb with a contig N50 of 68.05 Mb, which were anchored onto 25+XY chromosomes. We found that the takin was more closely related to muskox than to other Caprinae species. Compared to the common ancestral karyotype of bovidae (2n = 60), we found the takin (2n = 52) experienced four chromosome fusions and one large translocation. Furthermore, we resequenced nine golden takins from the main distribution area, the Qinling Mountains, and identified 3.3 million single nucleotide polymorphisms. The genetic diversity of takin was very low (θπ = 0.00028 and heterozygosity =0.00038), among the lowest detected in domestic and wild mammals. Takin genomes showed a high inbreeding coefficient (FROH =0.217), suggesting severe inbreeding depression. The demographic history showed that the effective population size of takins declined significantly from ~100,000 years ago. Our results provide valuable information for protection of takins and insights into their evolution.
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Affiliation(s)
- Anning Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Qimeng Yang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Ran Li
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Xuelei Dai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Keli Cai
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China
| | - Yinghu Lei
- Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
| | - Kangsheng Jia
- Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
| | - Yu Jiang
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Center for Ruminant Genetic and Evolution, Northwest A&F University, Yangling, Shaanxi, China
| | - Linsen Zan
- College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, China.,Research Center for the Qinling Giant Panda (Shaanxi Rare Wildlife Rescue Base), Shaanxi Academy of Forestry Sciences, Zhouzhi, Shaanxi, China
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28
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Theissinger K, Fernandes C, Formenti G, Bista I, Berg PR, Bleidorn C, Bombarely A, Crottini A, Gallo GR, Godoy JA, Jentoft S, Malukiewicz J, Mouton A, Oomen RA, Paez S, Palsbøll PJ, Pampoulie C, Ruiz-López MJ, Secomandi S, Svardal H, Theofanopoulou C, de Vries J, Waldvogel AM, Zhang G, Jarvis ED, Bálint M, Ciofi C, Waterhouse RM, Mazzoni CJ, Höglund J. How genomics can help biodiversity conservation. Trends Genet 2023:S0168-9525(23)00020-3. [PMID: 36801111 DOI: 10.1016/j.tig.2023.01.005] [Citation(s) in RCA: 50] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/08/2022] [Accepted: 01/19/2023] [Indexed: 02/18/2023]
Abstract
The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main approaches and applications in biodiversity and conservation genomics, considering practical factors, such as cost, time, prerequisite skills, and current shortcomings of applications. Most approaches perform best in combination with reference genomes from the target species or closely related species. We review case studies to illustrate how reference genomes can facilitate biodiversity research and conservation across the tree of life. We conclude that the time is ripe to view reference genomes as fundamental resources and to integrate their use as a best practice in conservation genomics.
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Affiliation(s)
- Kathrin Theissinger
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Carlos Fernandes
- CE3C - Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal; Faculdade de Psicologia, Universidade de Lisboa, Alameda da Universidade, 1649-013 Lisboa, Portugal
| | - Giulio Formenti
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Iliana Bista
- Naturalis Biodiversity Center, Darwinweg 2, 2333, CR, Leiden, The Netherlands; Wellcome Sanger Institute, Tree of Life, Wellcome Genome Campus, Hinxton, CB10 1SA, UK
| | - Paul R Berg
- NIVA - Norwegian Institute for Water Research, Økernveien, 94, 0579 Oslo, Norway; Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Christoph Bleidorn
- University of Göttingen, Department of Animal Evolution and Biodiversity, Untere Karspüle, 2, 37073, Göttingen, Germany
| | | | - Angelica Crottini
- CIBIO/InBio, Centro de Investigação em Biodiversidade e Recursos Genéticos, Rua Padre Armando Quintas, 7, 4485-661, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002 Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal
| | - Guido R Gallo
- Department of Biosciences, University of Milan, Milan, Italy
| | - José A Godoy
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain
| | - Sissel Jentoft
- Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Joanna Malukiewicz
- Primate Genetics Laborator, German Primate Center, Kellnerweg 4, 37077, Göttingen, Germany
| | - Alice Mouton
- InBios - Conservation Genetics Lab, University of Liege, Chemin de la Vallée 4, 4000, Liege, Belgium
| | - Rebekah A Oomen
- Centre for Coastal Research, University of Agder, Gimlemoen 25j, 4630 Kristiansand, Norway; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, PO BOX 1066 Blinderm, 0316 Oslo, Norway
| | - Sadye Paez
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Per J Palsbøll
- Groningen Institute of Evolutionary Life Sciences, University of Groningen, Nijenborgh, 9747, AG, Groningen, The Netherlands; Center for Coastal Studies, 5 Holway Avenue, Provincetown, MA 02657, USA
| | - Christophe Pampoulie
- Marine and Freshwater Research Institute, Fornubúðir, 5,220, Hanafjörður, Iceland
| | - María J Ruiz-López
- Estación Biológica de Doñana, CSIC, Calle Americo Vespucio 26, 41092, Sevillle, Spain; CIBER de Epidemiología y Salud Pública (CIBERESP), Spain
| | | | - Hannes Svardal
- Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Antwerp, Belgium
| | - Constantina Theofanopoulou
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA; Hunter College, City University of New York, NY, USA
| | - Jan de Vries
- University of Goettingen, Institute for Microbiology and Genetics, Department of Applied Bioinformatics, Goettingen Center for Molecular Biosciences (GZMB), Campus Institute Data Science (CIDAS), Goldschmidtstr. 1, 37077, Goettingen, Germany
| | - Ann-Marie Waldvogel
- Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, D-50674, Cologne, Germany
| | - Guojie Zhang
- Evolutionary & Organismal Biology Research Center, Zhejiang University School of Medicine, Hangzhou, 310058, China; Villum Center for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Denmark; State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Erich D Jarvis
- The Rockefeller University, 1230 York Ave, New York, NY 10065, USA
| | - Miklós Bálint
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberg Biodiversity and Climate Research Centre, Georg-Voigt-Str. 14-16, 60325 Frankfurt/Main, Germany
| | - Claudio Ciofi
- University of Florence, Department of Biology, Via Madonna del Piano 6, Sesto Fiorentino, (FI) 50019, Italy
| | - Robert M Waterhouse
- University of Lausanne, Department of Ecology and Evolution, Le Biophore, UNIL-Sorge, 1015 Lausanne, Switzerland; Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland
| | - Camila J Mazzoni
- Leibniz Institute for Zoo and Wildlife Research (IZW), Alfred-Kowalke-Str 17, 10315 Berlin, Germany; Berlin Center for Genomics in Biodiversity Research (BeGenDiv), Koenigin-Luise-Str 6-8, 14195 Berlin, Germany
| | - Jacob Höglund
- Department of Ecology and Genetics, Uppsala University, Norbyvägen 18D, 75246, Uppsala, Sweden.
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29
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Robinson J, Kyriazis CC, Yuan SC, Lohmueller KE. Deleterious Variation in Natural Populations and Implications for Conservation Genetics. Annu Rev Anim Biosci 2023; 11:93-114. [PMID: 36332644 PMCID: PMC9933137 DOI: 10.1146/annurev-animal-080522-093311] [Citation(s) in RCA: 28] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Deleterious mutations decrease reproductive fitness and are ubiquitous in genomes. Given that many organisms face ongoing threats of extinction, there is interest in elucidating the impact of deleterious variation on extinction risk and optimizing management strategies accounting for such mutations. Quantifying deleterious variation and understanding the effects of population history on deleterious variation are complex endeavors because we do not know the strength of selection acting on each mutation. Further, the effect of demographic history on deleterious mutations depends on the strength of selection against the mutation and the degree of dominance. Here we clarify how deleterious variation can be quantified and studied in natural populations. We then discuss how different demographic factors, such as small population size, nonequilibrium population size changes, inbreeding, and gene flow, affect deleterious variation. Lastly, we provide guidance on studying deleterious variation in nonmodel populations of conservation concern.
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Affiliation(s)
- Jacqueline Robinson
- Institute for Human Genetics, University of California, San Francisco, California, USA;
| | - Christopher C Kyriazis
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , ,
| | - Stella C Yuan
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , ,
| | - Kirk E Lohmueller
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, California, USA; , , .,Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California, USA
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30
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Wootton E, Robert C, Taillon J, Côté SD, Shafer ABA. Genomic health is dependent on long-term population demographic history. Mol Ecol 2023; 32:1943-1954. [PMID: 36704858 DOI: 10.1111/mec.16863] [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: 09/15/2022] [Revised: 01/08/2023] [Accepted: 01/13/2023] [Indexed: 01/28/2023]
Abstract
Current genetic methods of population assessment in conservation biology have been challenged by genome-scale analyses due to their quantitatively novel insights. These analyses include assessments of runs-of-homozygosity (ROH), genomic evolutionary rate profiling (GERP), and mutational load. Here, we aim to elucidate the relationships between these measures using three divergent ungulates: white-tailed deer, caribou, and mountain goat. The white-tailed deer is currently expanding, while caribou are in the midst of a significant decline. Mountain goats remain stable, having suffered a large historical bottleneck. We assessed genome-wide signatures of inbreeding using the inbreeding coefficient F and %ROH (FROH ) and identified evolutionarily constrained regions with GERP. Mutational load was estimated by identifying mutations in highly constrained elements (CEs) and sorting intolerant from tolerant (SIFT) mutations. Our results showed that F and FROH are higher in mountain goats than in caribou and white-tailed deer. Given the extended bottleneck and low Ne of the mountain goat, this supports the idea that the genome-wide effects of demographic change take time to accrue. Similarly, we found that mountain goats possess more highly constrained CEs and the lowest dN/dS values, both of which are indicative of greater purifying selection; this is also reflected by fewer mutations in CEs and deleterious mutations identified by SIFT. In contrast, white-tailed deer presented the highest mutational load with both metrics, in addition to dN/dS, while caribou were intermediate. Our results demonstrate that extended bottlenecks may lead to reduced diversity and increased FROH in ungulates, but not necessarily an increase in mutational load, probably due to the purging of deleterious alleles in small populations.
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Affiliation(s)
- Eric Wootton
- Biochemistry and Molecular Biology, Trent University, Peterborough, Ontario, Canada
| | - Claude Robert
- Département des Sciences Animales, Université Laval, Québec, Québec, Canada
| | - Joëlle Taillon
- Direction de l'Expertise sur la Faune Terrestre, l'Herpétofaune et l'Avifaune, Ministère des Forêts, de la Faune et des Parcs, Gouvernement du Québec, Québec, Québec, Canada
| | - Steeve D Côté
- Département de Biologie, Caribou Ungava and Centre d'Études Nordiques, Université Laval, Québec, Québec, Canada
| | - Aaron B A Shafer
- Environmental and Life Sciences Graduate Programme, Trent University, Peterborough, Ontario, Canada
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31
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Heino MT, Nyman T, Palo JU, Harmoinen J, Valtonen M, Pilot M, Översti S, Salmela E, Kunnasranta M, Väinölä R, Hoelzel AR, Aspi J. Museum specimens of a landlocked pinniped reveal recent loss of genetic diversity and unexpected population connections. Ecol Evol 2023; 13:e9720. [PMID: 36699566 PMCID: PMC9849707 DOI: 10.1002/ece3.9720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 12/14/2022] [Accepted: 12/19/2022] [Indexed: 01/20/2023] Open
Abstract
The Saimaa ringed seal (Pusa hispida saimensis) is endemic to Lake Saimaa in Finland. The subspecies is thought to have originated when parts of the ringed seal population of the Baltic region were trapped in lakes emerging due to postglacial bedrock rebound around 9000 years ago. During the 20th century, the population experienced a drastic human-induced bottleneck. Today encompassing a little over 400 seals with extremely low genetic diversity, it is classified as endangered. We sequenced sections of the mitochondrial control region from 60 up to 125-years-old museum specimens of the Saimaa ringed seal. The generated dataset was combined with publicly available sequences. We studied how genetic variation has changed through time in this subspecies and how it is phylogenetically related to other ringed seal populations from the Baltic Sea, Lake Ladoga, North America, Svalbard, and the White Sea. We observed temporal fluctuations in haplotype frequencies and loss of haplotypes accompanied by a recent reduction in female effective population size. In apparent contrast with the traditionally held view of the Baltic origin of the population, the Saimaa ringed seal mtDNA variation also shows affinities to North American ringed seals. Our results suggest that the Saimaa ringed seal has experienced recent genetic drift associated with small population size. The results further suggest that extant Baltic ringed seal is not representative of the ancestral population of the Saimaa ringed seal, which calls for re-evaluation of the deep history of this subspecies.
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Affiliation(s)
- Matti T. Heino
- Ecology and Genetics Research UnitUniversity of OuluOuluFinland,Department of Forensic MedicineUniversity of HelsinkiHelsinkiFinland
| | - Tommi Nyman
- Department of Ecosystems in the Barents Region, Svanhovd Research StationNorwegian Institute of Bioeconomy ResearchSvanvikNorway
| | - Jukka U. Palo
- Department of Forensic MedicineUniversity of HelsinkiHelsinkiFinland,Forensic Chemistry Unit/Forensic GeneticsFinnish Institute for Health and WelfareHelsinkiFinland
| | - Jenni Harmoinen
- Ecology and Genetics Research UnitUniversity of OuluOuluFinland,Wildlife Ecology GroupNatural Resources Institute FinlandHelsinkiFinland
| | - Mia Valtonen
- Wildlife Ecology GroupNatural Resources Institute FinlandHelsinkiFinland,Department of Environmental and Biological SciencesUniversity of Eastern FinlandJoensuuFinland,Institute of BiotechnologyUniversity of HelsinkiHelsinkiFinland
| | - Małgorzata Pilot
- School of Biological and Biomedical SciencesDurham UniversityDurhamUK,Museum and Institute of ZoologyPolish Academy of SciencesGdańskPoland,Faculty of BiologyUniversity of GdańskGdańskPoland
| | - Sanni Översti
- Transmission, Infection, Diversification and Evolution GroupMax‐Planck Institute for the Science of Human HistoryJenaGermany,Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinkiFinland
| | - Elina Salmela
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinkiFinland,Department of Biology, Faculty of ScienceUniversity of TurkuTurkuFinland
| | - Mervi Kunnasranta
- University of Eastern FinlandJoensuuFinland,Natural Resources Institute FinlandJoensuuFinland
| | - Risto Väinölä
- Finnish Museum of Natural HistoryUniversity of HelsinkiHelsinkiFinland
| | | | - Jouni Aspi
- Ecology and Genetics Research UnitUniversity of OuluOuluFinland
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32
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Schroeder L, Ackermann RR. Moving beyond the adaptationist paradigm for human evolution, and why it matters. J Hum Evol 2023; 174:103296. [PMID: 36527977 DOI: 10.1016/j.jhevol.2022.103296] [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: 04/25/2022] [Revised: 11/12/2022] [Accepted: 11/12/2022] [Indexed: 12/23/2022]
Abstract
The Journal of Human Evolution (JHE) was founded 50 years ago when much of the foundation for how we think about human evolution was in place or being put in place, providing the main framework for how we consider our origins today. Here, we will explore historical developments, including early JHE outputs, as they relate to our understanding of the relationship between phenotypic variation and evolutionary process, and use that as a springboard for considering our current understanding of these links as applied to human evolution. We will focus specifically on how the study of variation itself has shifted us away from taxonomic and adaptationist perspectives toward a richer understanding of the processes shaping human evolutionary history, using literature searches and specific test cases to highlight this. We argue that natural selection, gene exchange, genetic drift, and mutation should not be considered individually when considering the production of hominin diversity. In this context, we offer suggestions for future research directions and reflect on this more complex understanding of human evolution and its broader relevance to society. Finally, we end by considering authorship demographics and practices in the last 50 years within JHE and how a shift in these demographics has the potential to reshape the science of human evolution going forward.
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Affiliation(s)
- Lauren Schroeder
- Department of Anthropology, University of Toronto Mississauga, Mississauga, ON, L5L 1C6, Canada; Human Evolution Research Institute, University of Cape Town, Rondebosch, 7701, South Africa.
| | - Rebecca Rogers Ackermann
- Human Evolution Research Institute, University of Cape Town, Rondebosch, 7701, South Africa; Department of Archaeology, University of Cape Town, Rondebosch, 7701, South Africa.
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33
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Snead AA, Alda F. Time-Series Sequences for Evolutionary Inferences. Integr Comp Biol 2022; 62:1771-1783. [PMID: 36104153 DOI: 10.1093/icb/icac146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/28/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023] Open
Affiliation(s)
- Anthony A Snead
- Department of Biological Sciences, University of Alabama, 300 Hackberry Lane, Tuscaloosa, AL 35487, USA
| | - Fernando Alda
- Department of Biology, Geology and Environmental Science, University of Tennessee at Chattanooga, 615 McCallie Ave, Chattanooga, TN 37403, USA
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34
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Moraitou M, Forsythe A, Fellows Yates JA, Brealey JC, Warinner C, Guschanski K. Ecology, Not Host Phylogeny, Shapes the Oral Microbiome in Closely Related Species. Mol Biol Evol 2022; 39:6874787. [PMID: 36472532 PMCID: PMC9778846 DOI: 10.1093/molbev/msac263] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/25/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
Host-associated microbiomes are essential for a multitude of biological processes. Placed at the contact zone between external and internal environments, the little-studied oral microbiome has important roles in host physiology and health. Here, we investigate the roles of host evolutionary relationships and ecology in shaping the oral microbiome in three closely related gorilla subspecies (mountain, Grauer's, and western lowland gorillas) using shotgun metagenomics of 46 museum-preserved dental calculus samples. We find that the oral microbiomes of mountain gorillas are functionally and taxonomically distinct from the other two subspecies, despite close evolutionary relationships and geographic proximity with Grauer's gorillas. Grauer's gorillas show intermediate bacterial taxonomic and functional, and dietary profiles. Altitudinal differences in gorilla subspecies ranges appear to explain these patterns, suggesting a close connection between dental calculus microbiomes and the environment, likely mediated through diet. This is further supported by the presence of gorilla subspecies-specific phyllosphere/rhizosphere taxa in the oral microbiome. Mountain gorillas show a high abundance of nitrate-reducing oral taxa, which may promote adaptation to a high-altitude lifestyle by modulating blood pressure. Our results suggest that ecology, rather than evolutionary relationships and geographic distribution, shape the oral microbiome in these closely related species.
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Affiliation(s)
| | | | - James A Fellows Yates
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany,Department of Paleobiotechnology, Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute, 07745 Jena, Germany
| | - Jaelle C Brealey
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology, 7491 Trondheim, Norway
| | - Christina Warinner
- Department of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany,Department of Paleobiotechnology, Leibniz Institute for Natural Product Research and Infection Biology Hans Knöll Institute, 07745 Jena, Germany,Faculty of Biological Sciences, Friedrich Schiller University, 07743 Jena, Germany,Department of Anthropology, Harvard University, Cambridge, MA 02138, USA
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35
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Ralimanana H, Perrigo AL, Smith RJ, Borrell JS, Faurby S, Rajaonah MT, Randriamboavonjy T, Vorontsova MS, Cooke RSC, Phelps LN, Sayol F, Andela N, Andermann T, Andriamanohera AM, Andriambololonera S, Bachman SP, Bacon CD, Baker WJ, Belluardo F, Birkinshaw C, Cable S, Canales NA, Carrillo JD, Clegg R, Clubbe C, Crottini A, Damasco G, Dhanda S, Edler D, Farooq H, de Lima Ferreira P, Fisher BL, Forest F, Gardiner LM, Goodman SM, Grace OM, Guedes TB, Hackel J, Henniges MC, Hill R, Lehmann CER, Lowry PP, Marline L, Matos-Maraví P, Moat J, Neves B, Nogueira MGC, Onstein RE, Papadopulos AST, Perez-Escobar OA, Phillipson PB, Pironon S, Przelomska NAS, Rabarimanarivo M, Rabehevitra D, Raharimampionona J, Rajaonary F, Rajaovelona LR, Rakotoarinivo M, Rakotoarisoa AA, Rakotoarisoa SE, Rakotomalala HN, Rakotonasolo F, Ralaiveloarisoa BA, Ramirez-Herranz M, Randriamamonjy JEN, Randrianasolo V, Rasolohery A, Ratsifandrihamanana AN, Ravololomanana N, Razafiniary V, Razanajatovo H, Razanatsoa E, Rivers M, Silvestro D, Testo W, Torres Jiménez MF, Walker K, Walker BE, Wilkin P, Williams J, Ziegler T, Zizka A, Antonelli A. Madagascar’s extraordinary biodiversity: Threats and opportunities. Science 2022; 378:eadf1466. [DOI: 10.1126/science.adf1466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Madagascar’s unique biota is heavily affected by human activity and is under intense threat. Here, we review the current state of knowledge on the conservation status of Madagascar’s terrestrial and freshwater biodiversity by presenting data and analyses on documented and predicted species-level conservation statuses, the most prevalent and relevant threats, ex situ collections and programs, and the coverage and comprehensiveness of protected areas. The existing terrestrial protected area network in Madagascar covers 10.4% of its land area and includes at least part of the range of the majority of described native species of vertebrates with known distributions (97.1% of freshwater fishes, amphibians, reptiles, birds, and mammals combined) and plants (67.7%). The overall figures are higher for threatened species (97.7% of threatened vertebrates and 79.6% of threatened plants occurring within at least one protected area). International Union for Conservation of Nature (IUCN) Red List assessments and Bayesian neural network analyses for plants identify overexploitation of biological resources and unsustainable agriculture as the most prominent threats to biodiversity. We highlight five opportunities for action at multiple levels to ensure that conservation and ecological restoration objectives, programs, and activities take account of complex underlying and interacting factors and produce tangible benefits for the biodiversity and people of Madagascar.
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Affiliation(s)
- Hélène Ralimanana
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Allison L. Perrigo
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | - Rhian J. Smith
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | | | - Søren Faurby
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | - Mamy Tiana Rajaonah
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | | | - Robert S. C. Cooke
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- UK Centre for Ecology and Hydrology, Wallingford, UK
| | - Leanne N. Phelps
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
- Royal Botanic Garden Edinburgh, Edinburgh, UK
| | - Ferran Sayol
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK
| | - Niels Andela
- School of Earth and Environmental Sciences, Cardiff University, Cardiff, Wales, UK
| | - Tobias Andermann
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Organismal Biology, SciLifeLab, Uppsala University, Uppsala, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | | | | | | | - Christine D. Bacon
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
| | | | - Francesco Belluardo
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Chris Birkinshaw
- Missouri Botanical Garden, Madagascar Program, Antananarivo, Madagascar
- Missouri Botanical Garden, St. Louis, MO, USA
| | - Stuart Cable
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Nataly A. Canales
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Juan D. Carrillo
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- CR2P, Muséum National d’Histoire Naturelle, Paris, France
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Rosie Clegg
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Geography, University of Exeter, Exeter, Devon, UK
| | - Colin Clubbe
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Angelica Crottini
- CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal
- Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal
- BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal
| | - Gabriel Damasco
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil
| | - Sonia Dhanda
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Daniel Edler
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Integrated Science Lab, Department of Physics, Umeå University, Umeå, Sweden
| | - Harith Farooq
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Faculty of Natural Sciences, Lúrio University, Pemba, Cabo Delgado Province, Mozambique
| | - Paola de Lima Ferreira
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Biology Centre CAS, Institute of Entomology, České Budějovice, Czech Republic
| | | | - Félix Forest
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Lauren M. Gardiner
- Cambridge University Herbarium, Department of Plant Sciences, University of Cambridge, Cambridge, UK
| | - Steven M. Goodman
- Association Vahatra, Antananarivo, Madagascar
- Field Museum of Natural History, Chicago, IL, USA
| | | | - Thaís B. Guedes
- Instituto de Biologia, Universidade Estadual de Campinas, Unicamp, Campinas, São Paulo, Brazil
| | - Jan Hackel
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Marie C. Henniges
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Rowena Hill
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Caroline E. R. Lehmann
- School of GeoSciences, University of Edinburgh, Edinburgh, UK
- Royal Botanic Garden Edinburgh, Edinburgh, UK
| | - Porter P. Lowry
- Missouri Botanical Garden, St. Louis, MO, USA
- Institut de Systématique, Évolution, et Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, Paris, France
| | - Lovanomenjanahary Marline
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Association Vahatra, Antananarivo, Madagascar
| | - Pável Matos-Maraví
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Biology Centre CAS, Institute of Entomology, České Budějovice, Czech Republic
| | - Justin Moat
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | - Beatriz Neves
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Matheus G. C. Nogueira
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Renske E. Onstein
- Naturalis Biodiversity Center, Leiden, Netherlands
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | | | - Peter B. Phillipson
- Missouri Botanical Garden, St. Louis, MO, USA
- Institut de Systématique, Évolution, et Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, Paris, France
| | - Samuel Pironon
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), Cambridge, UK
| | - Natalia A. S. Przelomska
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Anthropology, Smithsonian National Museum of Natural History, Washington, DC, USA
| | | | - David Rabehevitra
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | - Fano Rajaonary
- Missouri Botanical Garden, Madagascar Program, Antananarivo, Madagascar
| | - Landy R. Rajaovelona
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Mijoro Rakotoarinivo
- Department of Plant Biology and Ecology, University of Antananarivo, Antananarivo, Madagascar
| | - Amédée A. Rakotoarisoa
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Solofo E. Rakotoarisoa
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Herizo N. Rakotomalala
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Franck Rakotonasolo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | - Myriam Ramirez-Herranz
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Instituto de Ecología y Biodiversidad, University of La Serena, La Serena, Chile
- Programa de Doctorado en Biología y Ecología Aplicada, Universidad Católica del Norte, Universidad de La Serena, La Serena, Chile
| | | | - Vonona Randrianasolo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | | | | | | | - Velosoa Razafiniary
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Henintsoa Razanajatovo
- Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar
| | - Estelle Razanatsoa
- Plant Conservation Unit, Department of Biological Sciences, University of Cape Town, South Africa
| | - Malin Rivers
- Botanic Gardens Conservation International, Kew, Richmond, Surrey, UK
| | - Daniele Silvestro
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- Swiss Institute of Bioinformatics, Fribourg, Switzerland
| | - Weston Testo
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Field Museum of Natural History, Chicago, IL, USA
| | - Maria F. Torres Jiménez
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Institute of Biosciences, Life Sciences Centre, Vilnius University, Vilnius, Lithuania
| | - Kim Walker
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Royal Holloway, University of London, Egham, Surrey, UK
| | | | - Paul Wilkin
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
| | | | - Thomas Ziegler
- Cologne Zoo, Cologne, Germany
- Institute of Zoology, University of Cologne, Cologne, Germany
| | - Alexander Zizka
- Department of Biology, Philipps-University Marburg, Marburg, Germany
| | - Alexandre Antonelli
- Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden
- Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden
- Royal Botanic Gardens, Kew, Richmond, Surrey, UK
- Department of Biology, University of Oxford, Oxford, UK
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Willey C, Korstanje R. Sequencing and assembling bear genomes: the bare necessities. Front Zool 2022; 19:30. [PMID: 36451195 PMCID: PMC9710173 DOI: 10.1186/s12983-022-00475-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 11/08/2022] [Indexed: 12/12/2022] Open
Abstract
Unique genetic adaptations are present in bears of every species across the world. From (nearly) shutting down important organs during hibernation to preventing harm from lifestyles that could easily cause metabolic diseases in humans, bears may hold the answer to various human ailments. However, only a few of these unique traits are currently being investigated at the molecular level, partly because of the lack of necessary tools. One of these tools is well-annotated genome assemblies from the different, extant bear species. These reference genomes are needed to allow us to identify differences in genetic variants, isoforms, gene expression, and genomic features such as transposons and identify those that are associated with biomedical-relevant traits. In this review we assess the current state of the genome assemblies of the eight different bear species, discuss current gaps, and the future benefits these reference genomes may have in informing human biomedical applications, while at the same time improving bear conservation efforts.
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von Seth J, van der Valk T, Lord E, Sigeman H, Olsen RA, Knapp M, Kardailsky O, Robertson F, Hale M, Houston D, Kennedy E, Dalén L, Norén K, Massaro M, Robertson BC, Dussex N. Genomic trajectories of a near-extinction event in the Chatham Island black robin. BMC Genomics 2022; 23:747. [DOI: 10.1186/s12864-022-08963-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 10/23/2022] [Indexed: 11/11/2022] Open
Abstract
Abstract
Background
Understanding the micro-evolutionary response of populations to demographic declines is a major goal in evolutionary and conservation biology. In small populations, genetic drift can lead to an accumulation of deleterious mutations, which will increase the risk of extinction. However, demographic recovery can still occur after extreme declines, suggesting that natural selection may purge deleterious mutations, even in extremely small populations. The Chatham Island black robin (Petroica traversi) is arguably the most inbred bird species in the world. It avoided imminent extinction in the early 1980s and after a remarkable recovery from a single pair, a second population was established and the two extant populations have evolved in complete isolation since then. Here, we analysed 52 modern and historical genomes to examine the genomic consequences of this extreme bottleneck and the subsequent translocation.
Results
We found evidence for two-fold decline in heterozygosity and three- to four-fold increase in inbreeding in modern genomes. Moreover, there was partial support for temporal reduction in total load for detrimental variation. In contrast, compared to historical genomes, modern genomes showed a significantly higher realised load, reflecting the temporal increase in inbreeding. Furthermore, the translocation induced only small changes in the frequency of deleterious alleles, with the majority of detrimental variation being shared between the two populations.
Conclusion
Our results highlight the dynamics of mutational load in a species that recovered from the brink of extinction, and show rather limited temporal changes in mutational load. We hypothesise that ancestral purging may have been facilitated by population fragmentation and isolation on several islands for thousands of generations and may have already reduced much of the highly deleterious load well before human arrival and introduction of pests to the archipelago. The majority of fixed deleterious variation was shared between the modern populations, but translocation of individuals with low mutational load could possibly mitigate further fixation of high-frequency deleterious variation.
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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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [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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Penna A, Dillon R, Bearder SK, Karlsson J, Perkin A, Pozzi L. Phylogeography and evolutionary lineage diversity in the small-eared greater galago, Otolemur garnettii (Primates: Galagidae). Zool J Linn Soc 2022. [DOI: 10.1093/zoolinnean/zlac079] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Abstract
Assessing the true lineage diversity in elusive nocturnal organisms is particularly challenging due to their subtle phenotypic variation in diagnostic traits. The cryptic small-eared greater galago (Otolemur garnettii) offers a great opportunity to test if currently recognized subspecies, suggested by discontinuities in coat colour pattern and geographic barriers, represent distinct evolutionary lineages. To answer this question, we conducted the first population-level phylogeographic study of the species, sampling wild specimens from across almost its entire latitudinal range, including the Zanzibar Archipelago. We applied five species-delimitation algorithms to investigate the genetic diversity and distribution pattern of mitochondrial DNA across the geographic range of three out of four subspecies. Our results suggest that far-northern populations of O. g. lasiotis potentially represent an independently evolving lineage, but populations assigned to O. g. garnettii from Zanzibar Island and of O. g panganiensis from mainland Tanzania do not constitute two independent lineages. A dated phylogeny suggests that this northern clade diverged from all remaining samples approximately 4 Mya. Such old divergence age is in line with the split between many galagid species. This northern lineage could potentially represent an incipient species; however, there is not yet enough evidence to support a new taxonomic status for this unique mitochondrial group.
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Affiliation(s)
- Anna Penna
- Department of Anthropology, University of Texas at San Antonio , San Antonio, Texas , USA
- Department of Anthropology, Smithsonian Institution, National Museum of Natural History, Washington, DC, USA
| | - Rosemarie Dillon
- Department of Anthropology, University of Texas at San Antonio , San Antonio, Texas , USA
| | - Simon K Bearder
- Nocturnal Primate Research Group, Oxford Brookes University , Oxford , UK
| | - Johan Karlsson
- Nocturnal Primate Research Group, Oxford Brookes University , Oxford , UK
| | - Andrew Perkin
- Nocturnal Primate Research Group, Oxford Brookes University , Oxford , UK
| | - Luca Pozzi
- Department of Anthropology, University of Texas at San Antonio , San Antonio, Texas , USA
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Harvati K, Ackermann RR. Merging morphological and genetic evidence to assess hybridization in Western Eurasian late Pleistocene hominins. Nat Ecol Evol 2022; 6:1573-1585. [PMID: 36064759 DOI: 10.1038/s41559-022-01875-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 08/08/2022] [Indexed: 11/09/2022]
Abstract
Previous scientific consensus saw human evolution as defined by adaptive differences (behavioural and/or biological) and the emergence of Homo sapiens as the ultimate replacement of non-modern groups by a modern, adaptively more competitive group. However, recent research has shown that the process underlying our origins was considerably more complex. While archaeological and fossil evidence suggests that behavioural complexity may not be confined to the modern human lineage, recent palaeogenomic work shows that gene flow between distinct lineages (for example, Neanderthals, Denisovans, early H. sapiens) occurred repeatedly in the late Pleistocene, probably contributing elements to our genetic make-up that might have been crucial to our success as a diverse, adaptable species. Following these advances, the prevailing human origins model has shifted from one of near-complete replacement to a more nuanced view of partial replacement with considerable reticulation. Here we provide a brief introduction to the current genetic evidence for hybridization among hominins, its prevalence in, and effects on, comparative mammal groups, and especially how it manifests in the skull. We then explore the degree to which cranial variation seen in the fossil record of late Pleistocene hominins from Western Eurasia corresponds with our current genetic and comparative data. We are especially interested in understanding the degree to which skeletal data can reflect admixture. Our findings indicate some correspondence between these different lines of evidence, flag individual fossils as possibly admixed, and suggest that different cranial regions may preserve hybridization signals differentially. We urge further studies of the phenotype to expand our ability to detect the ways in which migration, interaction and genetic exchange have shaped the human past, beyond what is currently visible with the lens of ancient DNA.
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Affiliation(s)
- K Harvati
- Paleoanthropology section, Senckenberg Centre for Human Evolution and Palaeoenvironment, Institute for Archaeological Sciences, Eberhard Karls Universität Tübingen, Tübingen, Germany.
- DFG Centre for Advanced Studies 'Words, Bones, Genes, Tools', Eberhard Karls Universität Tübingen, Tübingen, Germany.
| | - R R Ackermann
- Human Evolution Research Institute, University of Cape Town, Cape Town, South Africa.
- Department of Archaeology, University of Cape Town, Cape Town, South Africa.
- DFG Centre for Advanced Studies 'Words, Bones, Genes, Tools', Eberhard Karls Universität Tübingen, Tübingen, Germany.
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Bosse M, van Loon S. Challenges in quantifying genome erosion for conservation. Front Genet 2022; 13:960958. [PMID: 36226192 PMCID: PMC9549127 DOI: 10.3389/fgene.2022.960958] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 08/09/2022] [Indexed: 11/18/2022] Open
Abstract
Massive defaunation and high extinction rates have become characteristic of the Anthropocene. Genetic effects of population decline can lead populations into an extinction vortex, where declining populations show lower genetic fitness, in turn leading to lower populations still. The lower genetic fitness in a declining population due to a shrinking gene pool is known as genetic erosion. Three different types of genetic erosion are highlighted in this review: overall homozygosity, genetic load and runs of homozygosity (ROH), which are indicative of inbreeding. The ability to quantify genetic erosion could be a very helpful tool for conservationists, as it can provide them with an objective, quantifiable measure to use in the assessment of species at risk of extinction. The link between conservation status and genetic erosion should become more apparent. Currently, no clear correlation can be observed between the current conservation status and genetic erosion. However, the high quantities of genetic erosion in wild populations, especially in those species dealing with habitat fragmentation and habitat decline, may be early signs of deteriorating populations. Whole genome sequencing data is the way forward to quantify genetic erosion. Extra screening steps for genetic load and hybridization can be included, since they could potentially have great impact on population fitness. This way, the information yielded from genetic sequence data can provide conservationists with an objective genetic method in the assessment of species at risk of extinction. However, the great complexity of genome erosion quantification asks for consensus and bridging science and its applications, which remains challenging.
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Affiliation(s)
- Mirte Bosse
- Amsterdam Institute for Life and Environment (A-LIFE), Section Ecology and Evolution, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
- Animal Breeding and Genomics, Wageningen University and Research, Wageningen, Netherlands
- *Correspondence: Mirte Bosse,
| | - Sam van Loon
- Amsterdam Institute for Life and Environment (A-LIFE), Section Ecology and Evolution, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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42
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Whole-genome resequencing of Chinese pangolins reveals a population structure and provides insights into their conservation. Commun Biol 2022; 5:821. [PMID: 36008681 PMCID: PMC9411537 DOI: 10.1038/s42003-022-03757-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 07/22/2022] [Indexed: 11/18/2022] Open
Abstract
Poaching and trafficking have a substantial negative impact on the population growth and range expansion of the Chinese pangolin (Manis pentadactyla). However, recently reported activities of Chinese pangolins in several sites of Guangdong province in China indicate a promising sign for the recovery of this threatened species. Here, we re-sequence genomes of 15 individuals and perform comprehensive population genomics analyses with previously published 22 individuals. These Chinese pangolins are found to be divided into three distinct populations. Multiple lines of evidence indicate the existence of a newly discovered population (CPA) comprises entirely of individuals from Guangdong province. The other two populations (CPB and CPC) have previously been documented. The genetic differentiation of the CPA and CPC is extremely large (FST = 0.541), which is larger than many subspecies-level differentiations. Even for the closer CPA and CPB, their differentiation (FST = 0.101) is still comparable with the population-level differentiation of many endangered species. Further analysis reveals that the CPA and CPB populations separate 2.5–4.0 thousand years ago (kya), and on the other hand, CPA and CPC diverge around 25–40 kya. The CPA population harbors more runs of homozygosity (ROHs) than the CPB and CPC populations, indicating that inbreeding is more prevalent in the CPA population. Although the CPC population has less mutational load than CPA and CPB populations, we predict that several Loss of Function (LoF) mutations will be translocated into the CPA or CPB populations by using the CPC as a donor population for genetic rescue. Our findings imply that the conservation of Chinese pangolins is challenging, and implementing genetic rescue among the three groups should be done with extreme caution. Whole-genome resequencing of Chinese pangolins reveals a new population CPA that is genetically distinct from and harbor more homozygosity than CPB and CPC populations, indicating prevalence in inbreeding and implying challenges in conservation.
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Chen H, Huang M, Liu D, Tang H, Zheng S, Ouyang J, Zhang H, Wang L, Luo K, Gao Y, Wu Y, Wu Y, Xiong Y, Luo T, Huang Y, Xiong R, Ren J, Huang J, Yan X. Genomic signatures and evolutionary history of the endangered blue-crowned laughingthrush and other Garrulax species. BMC Biol 2022; 20:188. [PMID: 36002819 PMCID: PMC9400264 DOI: 10.1186/s12915-022-01390-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 08/12/2022] [Indexed: 12/12/2022] Open
Abstract
Background The blue-crowned laughingthrush (Garrulax courtoisi) is a critically endangered songbird endemic to Wuyuan, China, with population of ~323 individuals. It has attracted widespread attention, but the lack of a published genome has limited research and species protection. Results We report two laughingthrush genome assemblies and reveal the taxonomic status of laughingthrush species among 25 common avian species according to the comparative genomic analysis. The blue-crowned laughingthrush, black-throated laughingthrush, masked laughingthrush, white-browed laughingthrush, and rusty laughingthrush showed a close genetic relationship, and they diverged from a common ancestor between ~2.81 and 12.31 million years ago estimated by the population structure and divergence analysis using 66 whole-genome sequencing birds from eight laughingthrush species and one out group (Cyanopica cyanus). Population inference revealed that the laughingthrush species experienced a rapid population decline during the last ice age and a serious bottleneck caused by a cold wave during the Chinese Song Dynasty (960–1279 AD). The blue-crowned laughingthrush is still in a bottleneck, which may be the result of a cold wave together with human exploitation. Interestingly, the existing blue-crowned laughingthrush exhibits extremely rich genetic diversity compared to other laughingthrushes. These genetic characteristics and demographic inference patterns suggest a genetic heritage of population abundance in the blue-crowned laughingthrush. The results also suggest that fewer deleterious mutations in the blue-crowned laughingthrush genomes have allowed them to thrive even with a small population size. We believe that cooperative breeding behavior and a long reproduction period may enable the blue-crowned laughingthrush to maintain genetic diversity and avoid inbreeding depression. We identified 43 short tandem repeats that can be used as markers to identify the sex of the blue-crowned laughingthrush and aid in its genetic conservation. Conclusions This study supplies the missing reference genome of laughingthrush, provides insight into the genetic variability, evolutionary potential, and molecular ecology of laughingthrush and provides a genomic resource for future research and conservation. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-022-01390-4.
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Affiliation(s)
- Hao Chen
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Min Huang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | | | - Hongbo Tang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Sumei Zheng
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China.,College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Jing Ouyang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Hui Zhang
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Luping Wang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Keyi Luo
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yuren Gao
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yongfei Wu
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yan Wu
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yanpeng Xiong
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Tao Luo
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Yuxuan Huang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Rui Xiong
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China
| | - Jun Ren
- College of Animal Science, South China Agricultural University, Guangzhou, Guangdong, China
| | - Jianhua Huang
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China.
| | - Xueming Yan
- College of Life Science, Jiangxi Science & Technology Normal University, Nanchang, Jiangxi Province, China.
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44
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Ochoa A, Onorato DP, Roelke-Parker ME, Culver M, Fitak RR. Give and Take: Effects of Genetic Admixture on Mutation Load in Endangered Florida Panthers. J Hered 2022; 113:491-499. [PMID: 35930593 DOI: 10.1093/jhered/esac037] [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: 01/19/2022] [Accepted: 08/02/2022] [Indexed: 11/14/2022] Open
Abstract
Genetic admixture is a biological event inherent to genetic rescue programs aimed at the long-term conservation of endangered wildlife. Although the success of such programs can be measured by the increase in genetic diversity and fitness of subsequent admixed individuals, predictions supporting admixture costs to fitness due to the introduction of novel deleterious alleles are necessary. Here, we analyzed nonsynonymous variation from conserved genes to quantify and compare levels of mutation load (i.e., proportion of deleterious alleles and genotypes carrying these alleles) among endangered Florida panthers and non-endangered Texas pumas. Specifically, we used canonical (i.e., non-admixed) Florida panthers, Texas pumas, and F1 (canonical Florida x Texas) panthers dating from a genetic rescue program and Everglades National Park panthers with Central American ancestry resulting from an earlier admixture event. We found neither genetic drift nor selection significantly reduced overall proportions of deleterious alleles in the severely bottlenecked canonical Florida panthers. Nevertheless, the deleterious alleles identified were distributed into a disproportionately high number of homozygous genotypes due to close inbreeding in this group. Conversely, admixed Florida panthers (either with Texas or Central American ancestry) presented reduced levels of homozygous genotypes carrying deleterious alleles but increased levels of heterozygous genotypes carrying these variants relative to canonical Florida panthers. Although admixture is likely to alleviate the load of standing deleterious variation present in homozygous genotypes, our results suggest introduced novel deleterious alleles (temporarily present in heterozygous state) in genetically rescued populations could potentially be expressed in subsequent generations if their effective sizes remain small.
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Affiliation(s)
- Alexander Ochoa
- Department of Biology and Genomics and Bioinformatics Cluster, University of Central Florida, Orlando, FL
| | - David P Onorato
- Fish and Wildlife Research Institute, Florida Fish and Wildlife Conservation Commission, Naples, FL
| | - Melody E Roelke-Parker
- Frederick National Laboratory of Cancer Research, Leidos Biomedical Research, Inc., Bethesda, MD
| | - Melanie Culver
- U.S. Geological Survey, Arizona Cooperative Fish and Wildlife Research Unit, and School of Natural Resources and the Environment, University of Arizona, Tucson, AZ
| | - Robert R Fitak
- Department of Biology and Genomics and Bioinformatics Cluster, University of Central Florida, Orlando, FL
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45
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Wilder AP, Dudchenko O, Curry C, Korody M, Turbek SP, Daly M, Misuraca A, Gaojianyong WANG, Khan R, Weisz D, Fronczek J, Aiden EL, Houck ML, Shier DM, Ryder OA, Steiner CC. A chromosome-length reference genome for the endangered Pacific pocket mouse reveals recent inbreeding in a historically large population. Genome Biol Evol 2022; 14:6650481. [PMID: 35894178 PMCID: PMC9348616 DOI: 10.1093/gbe/evac122] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2022] [Indexed: 11/16/2022] Open
Abstract
High-quality reference genomes are fundamental tools for understanding population history, and can provide estimates of genetic and demographic parameters relevant to the conservation of biodiversity. The federally endangered Pacific pocket mouse (PPM), which persists in three small, isolated populations in southern California, is a promising model for studying how demographic history shapes genetic diversity, and how diversity in turn may influence extinction risk. To facilitate these studies in PPM, we combined PacBio HiFi long reads with Omni-C and Hi-C data to generate a de novo genome assembly, and annotated the genome using RNAseq. The assembly comprised 28 chromosome-length scaffolds (N50 = 72.6 MB) and the complete mitochondrial genome, and included a long heterochromatic region on chromosome 18 not represented in the previously available short-read assembly. Heterozygosity was highly variable across the genome of the reference individual, with 18% of windows falling in runs of homozygosity (ROH) >1 MB, and nearly 9% in tracts spanning >5 MB. Yet outside of ROH, heterozygosity was relatively high (0.0027), and historical Ne estimates were large. These patterns of genetic variation suggest recent inbreeding in a formerly large population. Currently the most contiguous assembly for a heteromyid rodent, this reference genome provides insight into the past and recent demographic history of the population, and will be a critical tool for management and future studies of outbreeding depression, inbreeding depression, and genetic load.
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Affiliation(s)
- Aryn P Wilder
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Olga Dudchenko
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, USA.,Center for Theoretical Biological Physics and Department of Computer Science, Rice University, USA
| | - Caitlin Curry
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Marisa Korody
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Sheela P Turbek
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA.,Ecology and Evolutionary Biology, University of Colorado, Boulder, USA
| | | | - Ann Misuraca
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - W A N G Gaojianyong
- Department of Genome Regulation, Max Planck Institute for Molecular Genetics, Berlin, Germany
| | - Ruqayya Khan
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, USA
| | - David Weisz
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, USA
| | - Julie Fronczek
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Erez Lieberman Aiden
- The Center for Genome Architecture, Department of Molecular and Human Genetics, Baylor College of Medicine, USA.,Center for Theoretical Biological Physics and Department of Computer Science, Rice University, USA.,UWA School of Agriculture and Environment, The University of Western Australia, Australia.,Broad Institute of MIT and Harvard, USA.,Shanghai Institute for Advanced Immunochemical Studies, ShanghaiTech, China
| | - Marlys L Houck
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Debra M Shier
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA.,Department of Ecology & Evolutionary Biology, University of California Los Angeles, USA
| | - Oliver A Ryder
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
| | - Cynthia C Steiner
- Conservation Science Wildlife Health, San Diego Zoo Wildlife Alliance, USA
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Roycroft E, Moritz C, Rowe KC, Moussalli A, Eldridge MDB, Portela Miguez R, Piggott MP, Potter S. Sequence Capture From Historical Museum Specimens: Maximizing Value for Population and Phylogenomic Studies. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.931644] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The application of high-throughput, short-read sequencing to degraded DNA has greatly increased the feasibility of generating genomic data from historical museum specimens. While many published studies report successful sequencing results from historical specimens; in reality, success and quality of sequence data can be highly variable. To examine predictors of sequencing quality, and methodological approaches to improving data accuracy, we generated and analyzed genomic sequence data from 115 historically collected museum specimens up to 180 years old. Data span both population genomic and phylogenomic scales, including historically collected specimens from 34 specimens of four species of Australian rock-wallabies (genus Petrogale) and 92 samples from 79 specimens of Australo-Papuan murine rodents (subfamily Murinae). For historical rodent specimens, where the focus was sampling for phylogenomics, we found that regardless of specimen age, DNA sequence libraries prepared from toe pad or bone subsamples performed significantly better than those taken from the skin (in terms of proportion of reads on target, number of loci captured, and data accuracy). In total, 93% of DNA libraries from toe pad or bone subsamples resulted in reliable data for phylogenetic inference, compared to 63% of skin subsamples. For skin subsamples, proportion of reads on target weakly correlated with collection year. Then using population genomic data from rock-wallaby skins as a test case, we found substantial improvement in final data quality by mapping to a high-quality “closest sister” de novo assembly from fresh tissues, compared to mapping to a sample-specific historical de novo assembly. Choice of mapping approach also affected final estimates of the number of segregating sites and Watterson's θ, both important parameters for population genomic inference. The incorporation of accurate and reliable sequence data from historical specimens has important outcomes for evolutionary studies at both population and phylogenomic scales. By assessing the outcomes of different approaches to specimen subsampling, library preparation and bioinformatic processing, our results provide a framework for increasing sequencing success for irreplaceable historical specimens.
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47
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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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48
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Irestedt M, Thörn F, Müller IA, Jønsson KA, Ericson PGP, Blom MPK. A guide to avian museomics: Insights gained from resequencing hundreds of avian study skins. Mol Ecol Resour 2022; 22:2672-2684. [PMID: 35661418 PMCID: PMC9542604 DOI: 10.1111/1755-0998.13660] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 04/25/2022] [Accepted: 05/23/2022] [Indexed: 11/30/2022]
Abstract
Biological specimens in natural history collections constitute a massive repository of genetic information. Many specimens have been collected in areas in which they no longer exist or in areas where present‐day collecting is not possible. There are also specimens in collections representing populations or species that have gone extinct. Furthermore, species or populations may have been sampled throughout an extensive time period, which is particularly valuable for studies of genetic change through time. With the advent of high‐throughput sequencing, natural history museum resources have become accessible for genomic research. Consequently, these unique resources are increasingly being used across many fields of natural history. In this paper, we summarize our experiences of resequencing hundreds of genomes from historical avian museum specimens. We publish the protocols we have used and discuss the entire workflow from sampling and laboratory procedures, to the bioinformatic processing of historical specimen data.
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Affiliation(s)
- Martin Irestedt
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden
| | - Filip Thörn
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Ingo A Müller
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden.,Department of Zoology, Stockholm University, Stockholm, Sweden
| | - Knud A Jønsson
- Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, Copenhagen, Denmark
| | - Per G P Ericson
- Department of Bioinformatics and Genetics, Swedish Museum of Natural History, SE-104 05, Stockholm, Sweden
| | - Mozes P K Blom
- Museum für Naturkunde, Leibniz Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany
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49
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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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50
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Wolf M, de Jong M, Daníel Halldórsson S, Árnason Ú, Janke A. Genomic impact of whaling in North Atlantic fin whales. Mol Biol Evol 2022; 39:6580755. [PMID: 35512360 PMCID: PMC9113106 DOI: 10.1093/molbev/msac094] [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] [Indexed: 12/02/2022] Open
Abstract
It is generally recognized that large-scale whaling in the 19th and 20th century led to a substantial reduction of the size of many cetacean populations, particularly those of the baleen whales (Mysticeti). The impact of these operations on genomic diversity of one of the most hunted whales, the fin whale (Balaenoptera physalus), has remained largely unaddressed because of the paucity of adequate samples and the limitation of applicable techniques. Here, we have examined the effect of whaling on the North Atlantic fin whale based on genomes of 51 individuals from Icelandic waters, representing three temporally separated intervals, 1989, 2009 and 2018 and provide a reference genome for the species. Demographic models suggest a noticeable drop of the effective population size of the North Atlantic fin whale around a century ago. The present results suggest that the genome-wide heterozygosity is not markedly reduced and has remained comparable with other baleen whale species. Similarly, there are no signs of apparent inbreeding, as measured by the proportion of long runs of homozygosity, or of a distinctively increased mutational load, as measured by the amount of putative deleterious mutations. Compared with other baleen whales, the North Atlantic fin whale appears to be less affected by anthropogenic influences than other whales such as the North Atlantic right whale, consistent with the presence of long runs of homozygosity and higher levels of mutational load in an otherwise more heterozygous genome. Thus, genome-wide assessments of other species and populations are essential for future, more specific, conservation efforts.
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Affiliation(s)
- Magnus Wolf
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt am Main, Germany.,Institute for Ecology, Evolution and Diversity, Goethe University, Max-von-Laue-Strasse. 9, Frankfurt am Main, Germany
| | - Menno de Jong
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt am Main, Germany
| | | | - Úlfur Árnason
- Department of Clinical Sciences Lund, Lund University, Sweden, Department of Neurosurgery, Skane University Hospital in Lund, Sweden
| | - Axel Janke
- Senckenberg Biodiversity and Climate Research Centre (BiK-F), Georg-Voigt-Strasse 14-16, Frankfurt am Main, Germany.,Institute for Ecology, Evolution and Diversity, Goethe University, Max-von-Laue-Strasse. 9, Frankfurt am Main, Germany.,LOEWE-Centre for Translational Biodiversity Genomics (TBG), Senckenberg Nature Research Society, Georg-Voigt-Straße 14-16, Frankfurt am Main, Germany
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