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Yang M, Smit S, de Ridder D, Feng J, Liu T, Xu J, van der Lee TAJ, Zhang H, Chen W. Adaptation of Fusarium Head Blight Pathogens to Changes in Agricultural Practices and Human Migration. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2401899. [PMID: 39099330 DOI: 10.1002/advs.202401899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 06/28/2024] [Indexed: 08/06/2024]
Abstract
Fusarium head blight (FHB) is one of the most destructive wheat diseases worldwide. To understand the impact of human migration and changes in agricultural practices on crop pathogens, here population genomic analysis with 245 representative strains from a collection of 4,427 field isolates of Fusarium asiaticum, the causal agent of FHB in Southern China is conducted. Three populations with distinct evolution trajectories are identifies over the last 10,000 years that can be correlated with historically documented changes in agricultural practices due to human migration caused by the Southern Expeditions during the Jin Dynasty. The gradual decrease of 3ADON-producing isolates from north to south along with the population structure and spore dispersal patterns shows the long-distance (>250 km) dispersal of F. asiaticum. These insights into population dynamics and evolutionary history of FHB pathogens are corroborated by a genome-wide analysis with strains originating from Japan, South America, and the USA, confirming the adaptation of FHB pathogens to cropping systems and human migration.
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Affiliation(s)
- Meixin Yang
- State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
- Bioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB, 6708, The Netherlands
| | - Sandra Smit
- Bioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB, 6708, The Netherlands
| | - Dick de Ridder
- Bioinformatics Group, Wageningen University & Research, Droevendaalsesteeg 1, Wageningen, PB, 6708, The Netherlands
| | - Jie Feng
- State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
| | - Taiguo Liu
- State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
- National Agricultural Experimental Station for Plant Protection, Gangu, Ministry of Agriculture and Rural Affairs, Tianshui, 741200, P. R. China
| | - Jinrong Xu
- Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN, 47907, USA
| | - Theo A J van der Lee
- Biointeractions and Plant Health, Wageningen Plant Research, Droevendaalsesteeg 1, Wageningen, PB, 6708, The Netherlands
| | - Hao Zhang
- State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
- National Agricultural Experimental Station for Plant Protection, Gangu, Ministry of Agriculture and Rural Affairs, Tianshui, 741200, P. R. China
| | - Wanquan Chen
- State Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, P. R. China
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2
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Chiba M, Chiba S. Hidden invasiveness of non-native Schlegel's Japanese gecko (Reptilia: Squamata: Gekkonidae) and three-way competition among natives and non-natives in Japan. Mol Ecol 2024; 33:e17420. [PMID: 38837546 DOI: 10.1111/mec.17420] [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: 02/06/2024] [Revised: 04/18/2024] [Accepted: 04/25/2024] [Indexed: 06/07/2024]
Abstract
In this study, we investigated the invasiveness of Gekko japonicus, a prevalent gecko species in Japan and an ancient non-native species, focusing on its competition with both the undescribed endemic Gekko species (referred to as Nishiyamori in Japanese) and G. hokouensis. These species are co-distributed with G. japonicus, leading us to hypothesize that G. japonicus was invasive upon its initial introduction. We employed niche analysis and population genetics through ddRAD-seq to assess the historical invasiveness of G. japonicus by comparing regions with and without interspecies competition. Our niche analysis across the Goto Islands, Hiradojima Island (colonized by G. japonicus) and the Koshikishima Islands (not colonized by G. japonicus) indicated that endemic Gekko sp. alter their microhabitat usage in response to invasions by other gecko species, despite having similar suitable habitats and microhabitat preferences. Population genetic analysis revealed significant population declines in Gekko sp. within areas of introduced competition, in contrast to stable populations in areas without such competition. These findings suggest a tripartite competitive relationship among the gecko species, with G. japonicus and G. hokouensis invasions restricting the distribution of the endemic Gekko sp. Consequently, G. japonicus may have historically acted as an invasive species. Acknowledging the historical dynamics of current biodiversity is crucial for addressing complex ecological issues and making informed conservation decisions.
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Affiliation(s)
- Minoru Chiba
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
- Doctoral Institute for Evidence Based Policy, Inc., Tokyo, Japan
| | - Satoshi Chiba
- Graduate School of Life Sciences, Tohoku University, Sendai, Japan
- Center for Northeast Asian Studies, Tohoku University, Sendai, Japan
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3
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Xu WQ, Ren CQ, Zhang XY, Comes HP, Liu XH, Li YG, Kettle CJ, Jalonen R, Gaisberger H, Ma YZ, Qiu YX. Genome sequences and population genomics reveal climatic adaptation and genomic divergence between two closely related sweetgum species. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 118:1372-1387. [PMID: 38343032 DOI: 10.1111/tpj.16675] [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: 10/24/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 05/31/2024]
Abstract
Understanding the genetic basis of population divergence and adaptation is an important goal in population genetics and evolutionary biology. However, the relative roles of demographic history, gene flow, and/or selective regime in driving genomic divergence, climatic adaptation, and speciation in non-model tree species are not yet fully understood. To address this issue, we generated whole-genome resequencing data of Liquidambar formosana and L. acalycina, which are broadly sympatric but altitudinally segregated in the Tertiary relict forests of subtropical China. We integrated genomic and environmental data to investigate the demographic history, genomic divergence, and climatic adaptation of these two sister species. We inferred a scenario of allopatric species divergence during the late Miocene, followed by secondary contact during the Holocene. We identified multiple genomic islands of elevated divergence that mainly evolved through divergence hitchhiking and recombination rate variation, likely fostered by long-term refugial isolation and recent differential introgression in low-recombination genomic regions. We also found some candidate genes with divergent selection signatures potentially involved in climatic adaptation and reproductive isolation. Our results contribute to a better understanding of how late Tertiary/Quaternary climatic change influenced speciation, genomic divergence, climatic adaptation, and introgressive hybridization in East Asia's Tertiary relict flora. In addition, they should facilitate future evolutionary, conservation genomics, and molecular breeding studies in Liquidambar, a genus of important medicinal and ornamental values.
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Affiliation(s)
- Wu-Qin Xu
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang Lab, Hangzhou, Zhejiang, China
| | - Chao-Qian Ren
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Xin-Yi Zhang
- Systematic & Evolutionary Botany and Biodiversity Group, College of Life Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Hans-Peter Comes
- Department of Environment & Biodiversity, Salzburg University, Salzburg, Austria
| | - Xin-Hong Liu
- Zhejiang Academy of Forestry, Hangzhou, 310023, China
| | - Yin-Gang Li
- Zhejiang Academy of Forestry, Hangzhou, 310023, China
| | | | - Riina Jalonen
- Bioversity International, Regional Office for Asia, Penang, Malaysia
| | | | - Ya-Zhen Ma
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
| | - Ying-Xiong Qiu
- CAS Key Laboratory of Plant Germplasm Enhancement and Specialty Agriculture, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, Hubei, 430074, China
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4
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Rick JA, Brock CD, Lewanski AL, Golcher-Benavides J, Wagner CE. Reference Genome Choice and Filtering Thresholds Jointly Influence Phylogenomic Analyses. Syst Biol 2024; 73:76-101. [PMID: 37881861 DOI: 10.1093/sysbio/syad065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 09/20/2023] [Accepted: 10/20/2023] [Indexed: 10/27/2023] Open
Abstract
Molecular phylogenies are a cornerstone of modern comparative biology and are commonly employed to investigate a range of biological phenomena, such as diversification rates, patterns in trait evolution, biogeography, and community assembly. Recent work has demonstrated that significant biases may be introduced into downstream phylogenetic analyses from processing genomic data; however, it remains unclear whether there are interactions among bioinformatic parameters or biases introduced through the choice of reference genome for sequence alignment and variant calling. We address these knowledge gaps by employing a combination of simulated and empirical data sets to investigate the extent to which the choice of reference genome in upstream bioinformatic processing of genomic data influences phylogenetic inference, as well as the way that reference genome choice interacts with bioinformatic filtering choices and phylogenetic inference method. We demonstrate that more stringent minor allele filters bias inferred trees away from the true species tree topology, and that these biased trees tend to be more imbalanced and have a higher center of gravity than the true trees. We find the greatest topological accuracy when filtering sites for minor allele count (MAC) >3-4 in our 51-taxa data sets, while tree center of gravity was closest to the true value when filtering for sites with MAC >1-2. In contrast, filtering for missing data increased accuracy in the inferred topologies; however, this effect was small in comparison to the effect of minor allele filters and may be undesirable due to a subsequent mutation spectrum distortion. The bias introduced by these filters differs based on the reference genome used in short read alignment, providing further support that choosing a reference genome for alignment is an important bioinformatic decision with implications for downstream analyses. These results demonstrate that attributes of the study system and dataset (and their interaction) add important nuance for how best to assemble and filter short-read genomic data for phylogenetic inference.
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Affiliation(s)
- Jessica A Rick
- School of Natural Resources & the Environment, University of Arizona, Tucson, AZ 85719, USA
| | - Chad D Brock
- Department of Biological Sciences, Tarleton State University, Stephenville, TX 76401, USA
| | - Alexander L Lewanski
- Department of Integrative Biology and W.K. Kellogg Biological Station, Michigan State University, East Lansing, MI 48824, USA
| | - Jimena Golcher-Benavides
- Department of Natural Resource Ecology and Management, Iowa State University, Ames, IA 50011, USA
| | - Catherine E Wagner
- Program in Ecology and Evolution, University of Wyoming, Laramie, WY 82071, USA
- Department of Botany, University of Wyoming, Laramie, WY 82071, USA
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5
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Hartley GA, Frankenberg SR, Robinson NM, MacDonald AJ, Hamede RK, Burridge CP, Jones ME, Faulkner T, Shute H, Rose K, Brewster R, O'Neill RJ, Renfree MB, Pask AJ, Feigin CY. Genome of the endangered eastern quoll (Dasyurus viverrinus) reveals signatures of historical decline and pelage color evolution. Commun Biol 2024; 7:636. [PMID: 38796620 PMCID: PMC11128018 DOI: 10.1038/s42003-024-06251-0] [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: 12/01/2023] [Accepted: 04/26/2024] [Indexed: 05/28/2024] Open
Abstract
The eastern quoll (Dasyurus viverrinus) is an endangered marsupial native to Australia. Since the extirpation of its mainland populations in the 20th century, wild eastern quolls have been restricted to two islands at the southern end of their historical range. Eastern quolls are the subject of captive breeding programs and attempts have been made to re-establish a population in mainland Australia. However, few resources currently exist to guide the genetic management of this species. Here, we generated a reference genome for the eastern quoll with gene annotations supported by multi-tissue transcriptomes. Our assembly is among the most complete marsupial genomes currently available. Using this assembly, we infer the species' demographic history, identifying potential evidence of a long-term decline beginning in the late Pleistocene. Finally, we identify a deletion at the ASIP locus that likely underpins pelage color differences between the eastern quoll and the closely related Tasmanian devil (Sarcophilus harrisii).
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Affiliation(s)
- Gabrielle A Hartley
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA
| | | | - Natasha M Robinson
- Fenner School of Environment & Society, Australian National University, Canberra, ACT, 2601, Australia
| | - Anna J MacDonald
- Research School of Biology, Australian National University, Canberra, ACT, 2601, Australia
- Australian Antarctic Division, Department of Climate Change, Energy, the Environment and Water, Kingston, TAS, 7050, Australia
| | - Rodrigo K Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS, 7005, Australia
| | | | - Menna E Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS, 7005, Australia
| | - Tim Faulkner
- Australian Reptile Park & Aussie Ark, Somersby, NSW, 2250, Australia
| | - Hayley Shute
- Australian Reptile Park & Aussie Ark, Somersby, NSW, 2250, Australia
| | - Karrie Rose
- Australian Registry of Wildlife Health, Taronga Conservation Society Australia, Mosman, NSW, 2088, Australia
| | - Rob Brewster
- WWF-Australia, PO Box 528, Sydney, NSW, 2001, Australia
| | - Rachel J O'Neill
- Institute for Systems Genomics, University of Connecticut, Storrs, CT, 06269, USA
- Department of Molecular and Cell Biology, University of Connecticut, Storrs, CT, 06269, USA
| | - Marilyn B Renfree
- School of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia
| | - Andrew J Pask
- School of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia
- Department of Sciences, Museums Victoria, Carlton, VIC, 3053, Australia
| | - Charles Y Feigin
- School of BioSciences, The University of Melbourne, Melbourne, VIC, 3010, Australia.
- Department of Environment and Genetics, La Trobe University, Bundoora, VIC, 3086, Australia.
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6
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Stringer EJ, Gruber B, Sarre SD, Wardle GM, Edwards SV, Dickman CR, Greenville AC, Duncan RP. Boom-bust population dynamics drive rapid genetic change. Proc Natl Acad Sci U S A 2024; 121:e2320590121. [PMID: 38621118 PMCID: PMC11067018 DOI: 10.1073/pnas.2320590121] [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: 11/22/2023] [Accepted: 03/06/2024] [Indexed: 04/17/2024] Open
Abstract
Increasing environmental threats and more extreme environmental perturbations place species at risk of population declines, with associated loss of genetic diversity and evolutionary potential. While theory shows that rapid population declines can cause loss of genetic diversity, populations in some environments, like Australia's arid zone, are repeatedly subject to major population fluctuations yet persist and appear able to maintain genetic diversity. Here, we use repeated population sampling over 13 y and genotype-by-sequencing of 1903 individuals to investigate the genetic consequences of repeated population fluctuations in two small mammals in the Australian arid zone. The sandy inland mouse (Pseudomys hermannsburgensis) experiences marked boom-bust population dynamics in response to the highly variable desert environment. We show that heterozygosity levels declined, and population differentiation (FST) increased, during bust periods when populations became small and isolated, but that heterozygosity was rapidly restored during episodic population booms. In contrast, the lesser hairy-footed dunnart (Sminthopsis youngsoni), a desert marsupial that maintains relatively stable population sizes, showed no linear declines in heterozygosity. These results reveal two contrasting ways in which genetic diversity is maintained in highly variable environments. In one species, diversity is conserved through the maintenance of stable population sizes across time. In the other species, diversity is conserved through rapid genetic mixing during population booms that restores heterozygosity lost during population busts.
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Affiliation(s)
- Emily J. Stringer
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, CanberraACT2617, Australia
| | - Bernd Gruber
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, CanberraACT2617, Australia
| | - Stephen D. Sarre
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, CanberraACT2617, Australia
| | - Glenda M. Wardle
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, SydneyNSW2006, Australia
| | - Scott V. Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA02138
| | - Christopher R. Dickman
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, SydneyNSW2006, Australia
| | - Aaron C. Greenville
- Desert Ecology Research Group, School of Life and Environmental Sciences, The University of Sydney, SydneyNSW2006, Australia
| | - Richard P. Duncan
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, CanberraACT2617, Australia
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7
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Tengstedt ANB, Liu S, Jacobsen MW, Gundlund C, Møller PR, Berg S, Bekkevold D, Hansen MM. Genomic insights on conservation priorities for North Sea houting and European lake whitefish (Coregonus spp.). Mol Ecol 2024:e17367. [PMID: 38686435 DOI: 10.1111/mec.17367] [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: 01/25/2024] [Revised: 04/08/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024]
Abstract
Population genomics analysis holds great potential for informing conservation of endangered populations. We focused on a controversial case of European whitefish (Coregonus spp.) populations. The endangered North Sea houting is the only coregonid fish that tolerates oceanic salinities and was previously considered a species (C. oxyrhinchus) distinct from European lake whitefish (C. lavaretus). However, no firm evidence for genetic-based salinity adaptation has been available. Also, studies based on microsatellite and mitogenome data suggested surprisingly recent divergence (c. 2500 years bp) between houting and lake whitefish. These data types furthermore have provided no evidence for possible inbreeding. Finally, a controversial taxonomic revision recently classified all whitefish in the region as C. maraena, calling conservation priorities of houting into question. We used whole-genome and ddRAD sequencing to analyse six lake whitefish populations and the only extant indigenous houting population. Demographic inference indicated post-glacial expansion and divergence between lake whitefish and houting occurring not long after the Last Glaciation, implying deeper population histories than previous analyses. Runs of homozygosity analysis suggested not only high inbreeding (FROH up to 30.6%) in some freshwater populations but also FROH up to 10.6% in the houting prompting conservation concerns. Finally, outlier scans provided evidence for adaptation to high salinities in the houting. Applying a framework for defining conservation units based on current and historical reproductive isolation and adaptive divergence led us to recommend that the houting be treated as a separate conservation unit regardless of species status. In total, the results underscore the potential of genomics to inform conservation practices, in this case clarifying conservation units and highlighting populations of concern.
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Affiliation(s)
| | - Shenglin Liu
- Department of Biology, Aarhus University, Aarhus C, Denmark
| | - Magnus W Jacobsen
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | | | - Peter Rask Møller
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Søren Berg
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - Dorte Bekkevold
- National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
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8
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Dinnage R, Sarre SD, Duncan RP, Dickman CR, Edwards SV, Greenville AC, Wardle GM, Gruber B. slimr: An R package for tailor-made integrations of data in population genomic simulations over space and time. Mol Ecol Resour 2024; 24:e13916. [PMID: 38124500 DOI: 10.1111/1755-0998.13916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 11/20/2023] [Accepted: 11/30/2023] [Indexed: 12/23/2023]
Abstract
Software for realistically simulating complex population genomic processes is revolutionizing our understanding of evolutionary processes, and providing novel opportunities for integrating empirical data with simulations. However, the integration between standalone simulation software and R is currently not well developed. Here, we present slimr, an R package designed to create a seamless link between standalone software SLiM >3.0, one of the most powerful population genomic simulation frameworks, and the R development environment, with its powerful data manipulation and analysis tools. We show how slimr facilitates smooth integration between genetic data, ecological data and simulation in a single environment. The package enables pipelines that begin with data reading, cleaning and manipulation, proceed to constructing empirically based parameters and initial conditions for simulations, then to running numerical simulations and finally to retrieving simulation results in a format suitable for comparisons with empirical data - aided by advanced analysis and visualization tools provided by R. We demonstrate the use of slimr with an example from our own work on the landscape population genomics of desert mammals, highlighting the advantage of having a single integrated tool for both data analysis and simulation. slimr makes the powerful simulation ability of SLiM directly accessible to R users, allowing integrated simulation projects that incorporate empirical data without the need to switch between software environments. This should provide more opportunities for evolutionary biologists and ecologists to use realistic simulations to better understand the interplay between ecological and evolutionary processes.
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Affiliation(s)
- Russell Dinnage
- Institute of Environment, Department of Biological Sciences, Florida International University, Miami, Florida, USA
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Stephen D Sarre
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Richard P Duncan
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Christopher R Dickman
- Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Scott V Edwards
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA
- Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts, USA
| | - Aaron C Greenville
- Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Glenda M Wardle
- Desert Ecology Research Group, School of Life and Environmental Sciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Bernd Gruber
- Centre for Conservation Ecology and Genomics, Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
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9
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Dalapicolla J, Weir JT, Vilaça ST, Quaresma TF, Schneider MPC, Vasconcelos ATR, Aleixo A. Whole genomes show contrasting trends of population size changes and genomic diversity for an Amazonian endemic passerine over the late quaternary. Ecol Evol 2024; 14:e11250. [PMID: 38660467 PMCID: PMC11040105 DOI: 10.1002/ece3.11250] [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: 03/16/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
The "Amazon tipping point" is a global change scenario resulting in replacement of upland terra-firme forests by large-scale "savannization" of mostly southern and eastern Amazon. Reduced rainfall accompanying the Last Glacial Maximum (LGM) has been proposed to have acted as such a tipping point in the past, with the prediction that terra-firme inhabiting species should have experienced reductions in population size as drier habitats expanded. Here, we use whole-genomes of an Amazonian endemic organism (Scale-backed antbirds - Willisornis spp.) sampled from nine populations across the region to test this historical demography scenario. Populations from southeastern Amazonia and close to the Amazon-Cerrado ecotone exhibited a wide range of demographic patterns, while most of those from northern and western Amazonia experienced uniform expansions between 400 kya and 80-60 kya, with gradual declines toward 20 kya. Southeastern populations of Willisornis were the last to diversify and showed smaller heterozygosity and higher runs of homozygosity values than western and northern populations. These patterns support historical population declines throughout the Amazon that affected more strongly lineages in the southern and eastern areas, where historical "tipping point" conditions existed due to the widespread replacement of humid forest by drier and open vegetation during the LGM.
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Affiliation(s)
- Jeronymo Dalapicolla
- Instituto Tecnológico ValeBelémParáBrazil
- Departamento de Sistemática e EcologiaUniversidade Federal da Paraíba, João PessoaParaíbaBrazil
| | - Jason T. Weir
- Department of Biological SciencesUniversity of Toronto ScarboroughTorontoOntarioCanada
- Department of Ecology and Evolutionary BiologyUniversity of TorontoTorontoOntarioCanada
- Department of Natural History, Royal Ontario MuseumTorontoOntarioCanada
| | | | | | - Maria P. C. Schneider
- Laboratório de Genômica e BiotecnologiaInstituto de Ciências Biológicas, UFPABelémBrazil
| | - Ana Tereza R. Vasconcelos
- Laboratório de BioinformáticaLaboratório Nacional de Computação Científica, PetrópolisRio de JaneiroBrazil
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10
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Kent TV, Schrider DR, Matute DR. Demographic history and the efficacy of selection in the globally invasive mosquito Aedes aegypti. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.07.584008. [PMID: 38559089 PMCID: PMC10979846 DOI: 10.1101/2024.03.07.584008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Aedes aegypti is the main vector species of yellow fever, dengue, zika and chikungunya. The species is originally from Africa but has experienced a spectacular expansion in its geographic range to a large swath of the world, the demographic effects of which have remained largely understudied. In this report, we examine whole-genome sequences from 6 countries in Africa, North America, and South America to investigate the demographic history of the spread of Ae. aegypti into the Americas its impact on genomic diversity. In the Americas, we observe patterns of strong population structure consistent with relatively low (but probably non-zero) levels of gene flow but occasional long-range dispersal and/or recolonization events. We also find evidence that the colonization of the Americas has resulted in introduction bottlenecks. However, while each sampling location shows evidence of a past population contraction and subsequent recovery, our results suggest that the bottlenecks in America have led to a reduction in genetic diversity of only ~35% relative to African populations, and the American samples have retained high levels of genetic diversity (expected heterozygosity of ~0.02 at synonymous sites) and have experienced only a minor reduction in the efficacy of selection. These results evoke the image of an invasive species that has expanded its range with remarkable genetic resilience in the face of strong eradication pressure.
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Affiliation(s)
- Tyler V. Kent
- Department of Biology, College of Arts and Sciences, University of North Carolina, Chapel Hill, NC, USA
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Daniel R. Schrider
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Daniel R. Matute
- Department of Biology, College of Arts and Sciences, University of North Carolina, Chapel Hill, NC, USA
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11
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Gabrielli M, Leroy T, Salmona J, Nabholz B, Milá B, Thébaud C. Demographic responses of oceanic island birds to local and regional ecological disruptions revealed by whole-genome sequencing. Mol Ecol 2024; 33:e17243. [PMID: 38108507 DOI: 10.1111/mec.17243] [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: 09/06/2023] [Revised: 11/26/2023] [Accepted: 11/30/2023] [Indexed: 12/19/2023]
Abstract
Disentangling the effects of ecological disruptions operating at different spatial and temporal scales in shaping past species' demography is particularly important in the current context of rapid environmental changes driven by both local and regional factors. We argue that volcanic oceanic islands provide useful settings to study the influence of past ecological disruptions operating at local and regional scales on population demographic histories. We investigate potential drivers of past population dynamics for three closely related species of passerine birds from two volcanic oceanic islands, Reunion and Mauritius (Mascarene archipelago), with distinct volcanic history. Using ABC and PSMC inferences from complete genomes, we reconstructed the demographic history of the Reunion Grey White-eye (Zosterops borbonicus (Pennant, 1781)), the Reunion Olive White-eye (Z. olivaceus (Linnaeus, 1766)) and the Mauritius Grey White-eye (Z. mauritianus (Gmelin, 1789)) and searched for possible causes underlying similarities or differences between species living on the same or different islands. Both demographic inferences strongly support ancient and long-term expansions in all species. They also reveal different trajectories between species inhabiting different islands, but consistent demographic trajectories in species or populations from the same island. Species from Reunion appear to have experienced synchronous reductions in population size during the Last Glacial Maximum, a trend not seen in the Mauritian species. Overall, this study suggests that local events may have played a role in shaping population trajectories of these island species. It also highlights the potential of our conceptual framework to disentangle the effects of local and regional drivers on past species' demography and long-term population processes.
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Affiliation(s)
- Maëva Gabrielli
- Laboratoire Évolution et Diversité Biologique (EDB), UMR 5174 (Université Paul Sabatier, CNRS, IRD), Toulouse, France
- Department of Life Sciences and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Thibault Leroy
- GenPhySE, INRAE, INP, ENVT, Université de Toulouse, Castanet-Tolosan, France
| | - Jordi Salmona
- Laboratoire Évolution et Diversité Biologique (EDB), UMR 5174 (Université Paul Sabatier, CNRS, IRD), Toulouse, France
| | - Benoit Nabholz
- Institut des Sciences de l'Evolution de Montpellier, UMR 5554 (Université de Montpellier, CNRS, IRD, EPHE), Montpellier, France
| | - Borja Milá
- National Museum of Natural Sciences, Spanish National Research Council (CSIC), Madrid, Spain
| | - Christophe Thébaud
- Laboratoire Évolution et Diversité Biologique (EDB), UMR 5174 (Université Paul Sabatier, CNRS, IRD), Toulouse, France
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12
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Qin SY, Zuo ZY, Xu SX, Liu J, Yang FM, Luo YH, Ye JW, Zhao Y, Rong J, Liu B, Ma PF, Li DZ. Anthropogenic disturbance driving population decline of a dominant tree in East Asia evergreen broadleaved forests over the last 11,000 years. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2024; 38:e14180. [PMID: 37700668 DOI: 10.1111/cobi.14180] [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: 03/03/2023] [Revised: 05/09/2023] [Accepted: 06/12/2023] [Indexed: 09/14/2023]
Abstract
Current biodiversity loss is generally considered to have been caused by anthropogenic disturbance, but it is unclear when anthropogenic activities began to affect biodiversity loss. One hypothesis suggests it began with the Industrial Revolution, whereas others propose that anthropogenic disturbance has been associated with biodiversity decline since the early Holocene. To test these hypotheses, we examined the unique vegetation of evergreen broadleaved forests (EBLFs) in East Asia, where humans have affected landscapes since the early Holocene. We adopted a genomic approach to infer the demographic history of a dominant tree (Litsea elongata) of EBLFs. We used Holocene temperature and anthropogenic disturbance factors to calculate the correlation between these variables and the historical effective population size of L. elongata with Spearman statistics and integrated the maximum-entropy niche model to determine the impact of climate change and anthropogenic disturbance on fluctuation in its effective population size. We identified 9 well-defined geographic clades for the populations of L. elongata. Based on the estimated historical population sizes of these clades, all the populations contracted, indicating persistent population decline over the last 11,000 years. Demographic history of L. elongata and human population change, change in cropland use, and change in irrigated rice area were significantly negatively correlated, whereas climate change in the Holocene was not correlated with demographic history. Our results support the early human impact hypothesis and provide comprehensive evidence that early anthropogenic disturbance may contribute to the current biodiversity crisis in East Asia.
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Affiliation(s)
- Sheng-Yuan Qin
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Zheng-Yu Zuo
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Shuang-Xiu Xu
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Jie Liu
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Feng-Mao Yang
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Ya-Huang Luo
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - Jun-Wei Ye
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Forestry University, Kunming, China
| | - Yao Zhao
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Jun Rong
- Jiangxi Province Key Laboratory of Watershed Ecosystem Change and Biodiversity, Center for Watershed Ecology, Institute of Life Science and School of Life Sciences, Nanchang University, Nanchang, China
| | - Bing Liu
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing, China
- Sino-African Joint Research Center, Chinese Academy of Sciences, Wuhan, China
| | - Peng-Fei Ma
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
| | - De-Zhu Li
- Germplasm Bank of Wild Species, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
- Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
- CAS Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences, Kunming, China
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13
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Teixeira H, Le Corre M, Michon L, Nicoll MAC, Jaeger A, Nikolic N, Pinet P, Couzi FX, Humeau L. Past volcanic activity predisposes an endemic threatened seabird to negative anthropogenic impacts. Sci Rep 2024; 14:1960. [PMID: 38263429 PMCID: PMC10805739 DOI: 10.1038/s41598-024-52556-9] [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: 10/04/2023] [Accepted: 01/19/2024] [Indexed: 01/25/2024] Open
Abstract
Humans are regularly cited as the main driver of current biodiversity extinction, but the impact of historic volcanic activity is often overlooked. Pre-human evidence of wildlife abundance and diversity are essential for disentangling anthropogenic impacts from natural events. Réunion Island, with its intense and well-documented volcanic activity, endemic biodiversity, long history of isolation and recent human colonization, provides an opportunity to disentangle these processes. We track past demographic changes of a critically endangered seabird, the Mascarene petrel Pseudobulweria aterrima, using genome-wide SNPs. Coalescent modeling suggested that a large ancestral population underwent a substantial population decline in two distinct phases, ca. 125,000 and 37,000 years ago, coinciding with periods of major eruptions of Piton des Neiges. Subsequently, the ancestral population was fragmented into the two known colonies, ca. 1500 years ago, following eruptions of Piton de la Fournaise. In the last century, both colonies declined significantly due to anthropogenic activities, and although the species was initially considered extinct, it was rediscovered in the 1970s. Our findings suggest that the current conservation status of wildlife on volcanic islands should be firstly assessed as a legacy of historic volcanic activity, and thereafter by the increasing anthropogenic impacts, which may ultimately drive species towards extinction.
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Affiliation(s)
- Helena Teixeira
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France.
| | - Matthieu Le Corre
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
| | - Laurent Michon
- Université de La Réunion, Laboratoire Géosciences Réunion, 97744, Saint Denis, France
- Université Paris Cité, Institut de physique du globe de Paris, CNRS, 75005, Paris, France
| | - Malcolm A C Nicoll
- Institute of Zoology, Zoological Society of London, Regent's Park, London, NW1 4RY, UK
| | - Audrey Jaeger
- UMR ENTROPIE (Université de La Réunion, IRD, CNRS, IFREMER, Université de Nouvelle-Calédonie), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
| | | | - Patrick Pinet
- Parc National de La Réunion, Life+ Pétrels, 258 Rue de la République, 97431, Plaine des Palmistes, Réunion Island, France
| | - François-Xavier Couzi
- Société d'Etudes Ornithologiques de La Réunion (SEOR), 13 ruelle des Orchidées, 97440, Saint André, Réunion Island, France
| | - Laurence Humeau
- UMR PVBMT (Université de La Réunion, CIRAD), 15 Avenue René Cassin, CS 92003, 97744, Saint Denis Cedex 9, Ile de La Réunion, France
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14
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Stuart KC, Johnson RN, Major RE, Atsawawaranunt K, Ewart KM, Rollins LA, Santure AW, Whibley A. The genome of a globally invasive passerine, the common myna, Acridotheres tristis. DNA Res 2024; 31:dsae005. [PMID: 38366840 PMCID: PMC10917472 DOI: 10.1093/dnares/dsae005] [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: 08/24/2023] [Revised: 02/13/2024] [Accepted: 02/15/2024] [Indexed: 02/18/2024] Open
Abstract
In an era of global climate change, biodiversity conservation is receiving increased attention. Conservation efforts are greatly aided by genetic tools and approaches, which seek to understand patterns of genetic diversity and how they impact species health and their ability to persist under future climate regimes. Invasive species offer vital model systems in which to investigate questions regarding adaptive potential, with a particular focus on how changes in genetic diversity and effective population size interact with novel selection regimes. The common myna (Acridotheres tristis) is a globally invasive passerine and is an excellent model species for research both into the persistence of low-diversity populations and the mechanisms of biological invasion. To underpin research on the invasion genetics of this species, we present the genome assembly of the common myna. We describe the genomic landscape of this species, including genome wide allelic diversity, methylation, repeats, and recombination rate, as well as an examination of gene family evolution. Finally, we use demographic analysis to identify that some native regions underwent a dramatic population increase between the two most recent periods of glaciation, and reveal artefactual impacts of genetic bottlenecks on demographic analysis.
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Affiliation(s)
- Katarina C Stuart
- School of Biological Sciences, University of Auckland, Auckland, Aotearoa, New Zealand
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Rebecca N Johnson
- National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Richard E Major
- Australian Museum Research Institute, Australian Museum, Sydney, Australia
| | | | - Kyle M Ewart
- Australian Museum Research Institute, Australian Museum, Sydney, Australia
- School of Life and Environmental Sciences,University of Sydney, Sydney, Australia
| | - Lee A Rollins
- Evolution and Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, Australia
| | - Anna W Santure
- School of Biological Sciences, University of Auckland, Auckland, Aotearoa, New Zealand
| | - Annabel Whibley
- School of Biological Sciences, University of Auckland, Auckland, Aotearoa, New Zealand
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15
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Lau SCY, Wilson NG, Golledge NR, Naish TR, Watts PC, Silva CNS, Cooke IR, Allcock AL, Mark FC, Linse K, Strugnell JM. Genomic evidence for West Antarctic Ice Sheet collapse during the Last Interglacial. Science 2023; 382:1384-1389. [PMID: 38127761 DOI: 10.1126/science.ade0664] [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: 07/22/2022] [Accepted: 10/30/2023] [Indexed: 12/23/2023]
Abstract
The marine-based West Antarctic Ice Sheet (WAIS) is considered vulnerable to irreversible collapse under future climate trajectories, and its tipping point may lie within the mitigated warming scenarios of 1.5° to 2°C of the United Nations Paris Agreement. Knowledge of ice loss during similarly warm past climates could resolve this uncertainty, including the Last Interglacial when global sea levels were 5 to 10 meters higher than today and global average temperatures were 0.5° to 1.5°C warmer than preindustrial levels. Using a panel of genome-wide, single-nucleotide polymorphisms of a circum-Antarctic octopus, we show persistent, historic signals of gene flow only possible with complete WAIS collapse. Our results provide the first empirical evidence that the tipping point of WAIS loss could be reached even under stringent climate mitigation scenarios.
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Affiliation(s)
- Sally C Y Lau
- Centre for Sustainable Tropical Fisheries and Aquaculture and College of Science and Engineering, James Cook University, Townsville, Qld, Australia
- Securing Antarctica's Environmental Future, James Cook University, Townsville, Qld, Australia
| | - Nerida G Wilson
- Collections & Research, Western Australian Museum, Welshpool, WA, Australia
- School of Biological Sciences, University of Western Australia, Perth, WA, Australia
- Securing Antarctica's Environmental Future, Western Australian Museum, Welshpool, WA, Australia
| | - Nicholas R Golledge
- Antarctic Research Centre, Victoria University of Wellington, Wellington, New Zealand
| | - Tim R Naish
- Antarctic Research Centre, Victoria University of Wellington, Wellington, New Zealand
| | - Phillip C Watts
- Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland
| | - Catarina N S Silva
- Centre for Sustainable Tropical Fisheries and Aquaculture and College of Science and Engineering, James Cook University, Townsville, Qld, Australia
- Centre for Functional Ecology - Science for People & the Planet (CFE), Associate Laboratory TERRA, Department of Life Sciences, University of Coimbra, Portugal
| | - Ira R Cooke
- Centre for Tropical Bioinformatics and Molecular Biology, James Cook University, Townsville, Qld, Australia
| | - A Louise Allcock
- School of Natural Sciences and Ryan Institute, University of Galway, Galway, Ireland
| | - Felix C Mark
- Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
| | | | - Jan M Strugnell
- Centre for Sustainable Tropical Fisheries and Aquaculture and College of Science and Engineering, James Cook University, Townsville, Qld, Australia
- Securing Antarctica's Environmental Future, James Cook University, Townsville, Qld, Australia
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16
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Stevenson DW, Ramakrishnan S, de Santis Alves C, Coelho LA, Kramer M, Goodwin S, Ramos OM, Eshel G, Sondervan VM, Frangos S, Zumajo-Cardona C, Jenike K, Ou S, Wang X, Lee YP, Loke S, Rossetto M, McPherson H, Nigris S, Moschin S, Little DP, Katari MS, Varala K, Kolokotronis SO, Ambrose B, Croft LJ, Coruzzi GM, Schatz M, McCombie WR, Martienssen RA. The genome of the Wollemi pine, a critically endangered "living fossil" unchanged since the Cretaceous, reveals extensive ancient transposon activity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.24.554647. [PMID: 37662366 PMCID: PMC10473749 DOI: 10.1101/2023.08.24.554647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
We present the genome of the living fossil, Wollemia nobilis, a southern hemisphere conifer morphologically unchanged since the Cretaceous. Presumed extinct until rediscovery in 1994, the Wollemi pine is critically endangered with less than 60 wild adults threatened by intensifying bushfires in the Blue Mountains of Australia. The 12 Gb genome is among the most contiguous large plant genomes assembled, with extremely low heterozygosity and unusual abundance of DNA transposons. Reduced representation and genome re-sequencing of individuals confirms a relictual population since the last major glacial/drying period in Australia, 120 ky BP. Small RNA and methylome sequencing reveal conservation of ancient silencing mechanisms despite the presence of thousands of active and abundant transposons, including some transferred horizontally to conifers from arthropods in the Jurassic. A retrotransposon burst 8-6 my BP coincided with population decline, possibly as an adaptation enhancing epigenetic diversity. Wollemia, like other conifers, is susceptible to Phytophthora, and a suite of defense genes, similar to those in loblolly pine, are targeted for silencing by sRNAs in leaves. The genome provides insight into the earliest seed plants, while enabling conservation efforts.
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Affiliation(s)
| | | | - Cristiane de Santis Alves
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
| | - Laís Araujo Coelho
- Department of Epidemiology and Biostatistics, School of Public Health; Institute for Genomics in Health; Division of Infectious Diseases, Department of Medicine, and Department of Cell Biology, College of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY 11203-2098, USA
| | - Melissa Kramer
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Sara Goodwin
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | | | - Gil Eshel
- Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA
| | | | - Samantha Frangos
- Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA
| | | | - Katherine Jenike
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Shujun Ou
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- Department of Molecular Genetics, The Ohio State University, Columbus, OH 43210, USA
| | - Xiaojin Wang
- Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, USA
| | - Yin Peng Lee
- Charles River Laboratories Australia, 17-19 Hi-Tech Ct, Kilsyth VIC 3137, Australia
| | - Stella Loke
- Charles River Laboratories Australia, 17-19 Hi-Tech Ct, Kilsyth VIC 3137, Australia
| | - Maurizio Rossetto
- Research Centre for Ecosystem Resilience, Royal Botanic Garden Sydney, Sydney, NSW 2000, Australia
| | - Hannah McPherson
- National Herbarium of New South Wales, Australian Botanic Garden, Mount Annan, NSW 2567, Australia
| | - Sebastiano Nigris
- Dipartimento di Biologia, Università degli studi di Padova, via U. Bassi 58/B, 35131 Padova, Italy; and Botanical Garden, Università degli studi di Padova, via Orto Botanico 15, 35123 Padova, Italy
| | - Silvia Moschin
- Dipartimento di Biologia, Università degli studi di Padova, via U. Bassi 58/B, 35131 Padova, Italy; and Botanical Garden, Università degli studi di Padova, via Orto Botanico 15, 35123 Padova, Italy
| | - Damon P. Little
- The New York Botanical Garden, 2900 Southern Boulevard, Bronx, NY 10458, USA
| | - Manpreet S. Katari
- Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA
| | - Kranthi Varala
- Purdue University, 610 Purdue Mall, West Lafayette, IN 47907, USA
| | - Sergios-Orestis Kolokotronis
- Department of Epidemiology and Biostatistics, School of Public Health; Institute for Genomics in Health; Division of Infectious Diseases, Department of Medicine, and Department of Cell Biology, College of Medicine, SUNY Downstate Health Sciences University, Brooklyn, NY 11203-2098, USA
| | - Barbara Ambrose
- The New York Botanical Garden, 2900 Southern Boulevard, Bronx, NY 10458, USA
| | - Larry J. Croft
- School of Medicine, Deakin University, Waurn Ponds, Victoria 3216, Australia
| | - Gloria M. Coruzzi
- Center for Genomics & Systems Biology, New York University, New York, NY 10003, USA
| | - Michael Schatz
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | | | - Robert A. Martienssen
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, USA
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17
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Tan HZ, Jansen JJFJ, Allport GA, Garg KM, Chattopadhyay B, Irestedt M, Pang SEH, Chilton G, Gwee CY, Rheindt FE. Megafaunal extinctions, not climate change, may explain Holocene genetic diversity declines in Numenius shorebirds. eLife 2023; 12:e85422. [PMID: 37549057 PMCID: PMC10406428 DOI: 10.7554/elife.85422] [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: 12/07/2022] [Accepted: 06/27/2023] [Indexed: 08/09/2023] Open
Abstract
Understanding the relative contributions of historical and anthropogenic factors to declines in genetic diversity is important for informing conservation action. Using genome-wide DNA of fresh and historic specimens, including that of two species widely thought to be extinct, we investigated fluctuations in genetic diversity and present the first complete phylogenomic tree for all nine species of the threatened shorebird genus Numenius, known as whimbrels and curlews. Most species faced sharp declines in effective population size, a proxy for genetic diversity, soon after the Last Glacial Maximum (around 20,000 years ago). These declines occurred prior to the Anthropocene and in spite of an increase in the breeding area predicted by environmental niche modeling, suggesting that they were not caused by climatic or recent anthropogenic factors. Crucially, these genetic diversity declines coincide with mass extinctions of mammalian megafauna in the Northern Hemisphere. Among other factors, the demise of ecosystem-engineering megafauna which maintained open habitats may have been detrimental for grassland and tundra-breeding Numenius shorebirds. Our work suggests that the impact of historical factors such as megafaunal extinction may have had wider repercussions on present-day population dynamics of open habitat biota than previously appreciated.
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Affiliation(s)
- Hui Zhen Tan
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
| | | | | | - Kritika M Garg
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
| | - Balaji Chattopadhyay
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
| | - Martin Irestedt
- Department of Bioinformatics and Genetics, Swedish Museum of Natural HistoryStockholmSweden
| | - Sean EH Pang
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
| | - Glen Chilton
- Department of Biology, St. Mary's UniversityCalgaryCanada
| | - Chyi Yin Gwee
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
| | - Frank E Rheindt
- Department of Biological Sciences, National University of SingaporeSingaporeSingapore
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18
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Wang X, Peischl S, Heckel G. Demographic history and genomic consequences of 10,000 generations of isolation in a wild mammal. Curr Biol 2023; 33:2051-2062.e4. [PMID: 37178689 DOI: 10.1016/j.cub.2023.04.042] [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: 09/28/2022] [Revised: 12/20/2022] [Accepted: 04/17/2023] [Indexed: 05/15/2023]
Abstract
Increased human activities caused the isolation of populations in many species-often associated with genetic depletion and negative fitness effects. The effects of isolation are predicted by theory, but long-term data from natural populations are scarce. We show, with full genome sequences, that common voles (Microtus arvalis) in the Orkney archipelago have remained genetically isolated from conspecifics in continental Europe since their introduction by humans over 5,000 years ago. Modern Orkney vole populations are genetically highly differentiated from continental conspecifics as a result of genetic drift processes. Colonization likely started on the biggest Orkney island and vole populations on smaller islands were gradually split off, without signs of secondary admixture. Despite having large modern population sizes, Orkney voles are genetically depauperate and successive introductions to smaller islands resulted in further reduction of genetic diversity. We detected high levels of fixation of predicted deleterious variation compared with continental populations, particularly on smaller islands, yet the fitness effects realized in nature are unknown. Simulations showed that predominantly mildly deleterious mutations were fixed in populations, while highly deleterious mutations were purged early in the history of the Orkney population. Relaxation of selection overall due to benign environmental conditions on the islands and the effects of soft selection may have contributed to the repeated, successful establishment of Orkney voles despite potential fitness loss. Furthermore, the specific life history of these small mammals, resulting in relatively large population sizes, has probably been important for their long-term persistence in full isolation.
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Affiliation(s)
- Xuejing Wang
- Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland
| | - Stephan Peischl
- Interfaculty Bioinformatics Unit, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland
| | - Gerald Heckel
- Institute of Ecology and Evolution, University of Bern, Baltzerstrasse 6, 3012 Bern, Switzerland; Swiss Institute of Bioinformatics, Amphipôle, Quartier UNIL-Sorge, 1015 Lausanne, Switzerland.
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19
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Wilder AP, Supple MA, Subramanian A, Mudide A, Swofford R, Serres-Armero A, Steiner C, Koepfli KP, Genereux DP, Karlsson EK, Lindblad-Toh K, Marques-Bonet T, Munoz Fuentes V, Foley K, Meyer WK, Ryder OA, Shapiro B, Andrews G, Armstrong JC, Bianchi M, Birren BW, Bredemeyer KR, Breit AM, Christmas MJ, Clawson H, Damas J, Di Palma F, Diekhans M, Dong MX, Eizirik E, Fan K, Fanter C, Foley NM, Forsberg-Nilsson K, Garcia CJ, Gatesy J, Gazal S, Genereux DP, Goodman L, Grimshaw J, Halsey MK, Harris AJ, Hickey G, Hiller M, Hindle AG, Hubley RM, Hughes GM, Johnson J, Juan D, Kaplow IM, Karlsson EK, Keough KC, Kirilenko B, Koepfli KP, Korstian JM, Kowalczyk A, Kozyrev SV, Lawler AJ, Lawless C, Lehmann T, Levesque DL, Lewin HA, Li X, Lind A, Lindblad-Toh K, Mackay-Smith A, Marinescu VD, Marques-Bonet T, Mason VC, Meadows JRS, Meyer WK, Moore JE, Moreira LR, Moreno-Santillan DD, Morrill KM, Muntané G, Murphy WJ, Navarro A, Nweeia M, Ortmann S, Osmanski A, Paten B, Paulat NS, Pfenning AR, Phan BN, Pollard KS, Pratt HE, Ray DA, Reilly SK, Rosen JR, Ruf I, Ryan L, Ryder OA, Sabeti PC, Schäffer DE, Serres A, Shapiro B, Smit AFA, Springer M, Srinivasan C, Steiner C, Storer JM, Sullivan KAM, Sullivan PF, Sundström E, Supple MA, Swofford R, Talbot JE, Teeling E, Turner-Maier J, Valenzuela A, Wagner F, Wallerman O, Wang C, Wang J, Weng Z, Wilder AP, Wirthlin ME, Xue JR, Zhang X. The contribution of historical processes to contemporary extinction risk in placental mammals. Science 2023; 380:eabn5856. [PMID: 37104572 PMCID: PMC10184782 DOI: 10.1126/science.abn5856] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
Species persistence can be influenced by the amount, type, and distribution of diversity across the genome, suggesting a potential relationship between historical demography and resilience. In this study, we surveyed genetic variation across single genomes of 240 mammals that compose the Zoonomia alignment to evaluate how historical effective population size (Ne) affects heterozygosity and deleterious genetic load and how these factors may contribute to extinction risk. We find that species with smaller historical Ne carry a proportionally larger burden of deleterious alleles owing to long-term accumulation and fixation of genetic load and have a higher risk of extinction. This suggests that historical demography can inform contemporary resilience. Models that included genomic data were predictive of species' conservation status, suggesting that, in the absence of adequate census or ecological data, genomic information may provide an initial risk assessment.
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Affiliation(s)
- Aryn P Wilder
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
| | - Megan A Supple
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA 95064, USA
| | | | | | - Ross Swofford
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Aitor Serres-Armero
- Institute of Evolutionary Biology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain
| | - Cynthia Steiner
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
| | - Klaus-Peter Koepfli
- Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA 22630, USA
- Center for Species Survival, Smithsonian Conservation Biology Institute, National Zoological Park, Washington, DC 30008, USA
- Computer Technologies Laboratory, ITMO University, St. Petersburg 197101, Russia
| | | | - Elinor K Karlsson
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, MA 01605, USA
| | - Kerstin Lindblad-Toh
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala 751 32, Sweden
| | - Tomas Marques-Bonet
- Institute of Evolutionary Biology, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona 08003, Spain
- Catalan Institution of Research and Advanced Studies, Barcelona 08010, Spain
- Centre for Genomic Regulation, Barcelona Institute of Science and Technology, Barcelona 08028, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona 08193, Spain
| | - Violeta Munoz Fuentes
- European Molecular Biology Laboratory-European Bioinformatics Institute, Wellcome Genome Campus, Hinxton CB10 1SD, UK
| | - Kathleen Foley
- College of Law, University of Iowa, Iowa City, IA 52242, USA
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Wynn K Meyer
- Department of Biological Sciences, Lehigh University, Bethlehem, PA 18015, USA
| | - Oliver A Ryder
- Conservation Genetics, San Diego Zoo Wildlife Alliance, Escondido, CA 92027, USA
- Department of Evolution, Behavior and Ecology, Division of Biology, University of California, San Diego, La Jolla, CA 92039, USA
| | - Beth Shapiro
- Department of Ecology and Evolutionary Biology, University of California, Santa Cruz, CA 95064, USA
- Howard Hughes Medical Institute, University of California, Santa Cruz, CA 95064, USA
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20
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Germain RR, Feng S, Chen G, Graves GR, Tobias JA, Rahbek C, Lei F, Fjeldså J, Hosner PA, Gilbert MTP, Zhang G, Nogués-Bravo D. Species-specific traits mediate avian demographic responses under past climate change. Nat Ecol Evol 2023:10.1038/s41559-023-02055-3. [PMID: 37106156 DOI: 10.1038/s41559-023-02055-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 03/30/2023] [Indexed: 04/29/2023]
Abstract
Anticipating species' responses to environmental change is a pressing mission in biodiversity conservation. Despite decades of research investigating how climate change may affect population sizes, historical context is lacking, and the traits that mediate demographic sensitivity to changing climate remain elusive. We use whole-genome sequence data to reconstruct the demographic histories of 263 bird species over the past million years and identify networks of interacting morphological and life history traits associated with changes in effective population size (Ne) in response to climate warming and cooling. Our results identify direct and indirect effects of key traits representing dispersal, reproduction and survival on long-term demographic responses to climate change, thereby highlighting traits most likely to influence population responses to ongoing climate warming.
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Affiliation(s)
- Ryan R Germain
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
| | - Shaohong Feng
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Department of General Surgery of Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China
| | - Guangji Chen
- BGI Shenzhen, Shenzhen, China
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Gary R Graves
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Vertebrate Zoology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA
| | - Joseph A Tobias
- Department of Life Sciences, Imperial College London, Ascot, UK
| | - Carsten Rahbek
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Life Sciences, Imperial College London, Ascot, UK
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Danish Institute for Advanced Study, University of Southern Denmark, Odense, Denmark
| | - Fumin Lei
- Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Jon Fjeldså
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Peter A Hosner
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Center for Global Mountain Biodiversity, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - M Thomas P Gilbert
- Center for Evolutionary Hologenomics, The Globe Institute, University of Copenhagen, Copenhagen, Denmark
- Department of Natural History, University Museum, Norwegian University of Science and Technology, Trondheim, Norway
| | - Guojie Zhang
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China.
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China.
- Innovation Center of Yangtze River Delta, Zhejiang University, Hangzhou, China.
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
| | - David Nogués-Bravo
- Center for Macroecology, Evolution, and Climate, The Globe Institute, University of Copenhagen, Copenhagen, Denmark.
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21
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Stammnitz MR, Gori K, Kwon YM, Harry E, Martin FJ, Billis K, Cheng Y, Baez-Ortega A, Chow W, Comte S, Eggertsson H, Fox S, Hamede R, Jones M, Lazenby B, Peck S, Pye R, Quail MA, Swift K, Wang J, Wood J, Howe K, Stratton MR, Ning Z, Murchison EP. The evolution of two transmissible cancers in Tasmanian devils. Science 2023; 380:283-293. [PMID: 37079675 DOI: 10.1126/science.abq6453] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/22/2023]
Abstract
Tasmanian devils have spawned two transmissible cancer lineages, named devil facial tumor 1 (DFT1) and devil facial tumor 2 (DFT2). We investigated the genetic diversity and evolution of these clones by analyzing 78 DFT1 and 41 DFT2 genomes relative to a newly assembled, chromosome-level reference. Time-resolved phylogenetic trees reveal that DFT1 first emerged in 1986 (1982 to 1989) and DFT2 in 2011 (2009 to 2012). Subclone analysis documents transmission of heterogeneous cell populations. DFT2 has faster mutation rates than DFT1 across all variant classes, including substitutions, indels, rearrangements, transposable element insertions, and copy number alterations, and we identify a hypermutated DFT1 lineage with defective DNA mismatch repair. Several loci show plausible evidence of positive selection in DFT1 or DFT2, including loss of chromosome Y and inactivation of MGA, but none are common to both cancers. This study reveals the parallel long-term evolution of two transmissible cancers inhabiting a common niche in Tasmanian devils.
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Affiliation(s)
- Maximilian R Stammnitz
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Kevin Gori
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Young Mi Kwon
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Edward Harry
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Fergal J Martin
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Konstantinos Billis
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Yuanyuan Cheng
- School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia
| | - Adrian Baez-Ortega
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - William Chow
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Sebastien Comte
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- Vertebrate Pest Research Unit, NSW Department of Primary Industries, Orange, NSW, Australia
| | | | - Samantha Fox
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
- Toledo Zoo, Toledo, OH, USA
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- CANCEV, Centre de Recherches Ecologiques et Evolutives sur le Cancer, Montpellier, France
| | - Menna Jones
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
| | - Billie Lazenby
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Sarah Peck
- Save the Tasmanian Devil Program, Tasmanian Department of Natural Resources and Environment, Hobart, TAS, Australia
| | - Ruth Pye
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Michael A Quail
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kate Swift
- Mount Pleasant Laboratories, Tasmanian Department of Natural Resources and Environment, Prospect, TAS, Australia
| | - Jinhong Wang
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Jonathan Wood
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Kerstin Howe
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Michael R Stratton
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Zemin Ning
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK
| | - Elizabeth P Murchison
- Transmissible Cancer Group, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
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22
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Liu J, Dawe RK. Large haplotypes highlight a complex age structure within the maize pan-genome. Genome Res 2023; 33:359-370. [PMID: 36854668 PMCID: PMC10078284 DOI: 10.1101/gr.276705.122] [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: 02/22/2022] [Accepted: 02/21/2023] [Indexed: 03/02/2023]
Abstract
The genomes of maize and other eukaryotes contain stable haplotypes in regions of low recombination. These regions, including centromeres, long heterochromatic blocks, and rDNA arrays, have been difficult to analyze with respect to their diversity and origin. Greatly improved genome assemblies are now available that enable comparative genomics over these and other nongenic spaces. Using 26 complete maize genomes, we developed methods to align intergenic sequences while excluding genes and regulatory regions. The centromere haplotypes (cenhaps) extend for megabases on either side of the functional centromere regions and appear as evolutionary strata, with haplotype divergence/coalescence times dating as far back as 450 thousand years ago (kya). Application of the same methods to other low recombination regions (heterochromatic knobs and rDNA) and all intergenic spaces revealed that deep coalescence times are ubiquitous across the maize pan-genome. Divergence estimates vary over a broad timescale with peaks at ∼16 and 300 kya, reflecting a complex history of gene flow among diverging populations and changes in population size associated with domestication. Cenhaps and other long haplotypes provide vivid displays of this ancient diversity.
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Affiliation(s)
- Jianing Liu
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - R Kelly Dawe
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA;
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602, USA
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23
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Divergent sensory and immune gene evolution in sea turtles with contrasting demographic and life histories. Proc Natl Acad Sci U S A 2023; 120:e2201076120. [PMID: 36749728 PMCID: PMC9962930 DOI: 10.1073/pnas.2201076120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Sea turtles represent an ancient lineage of marine vertebrates that evolved from terrestrial ancestors over 100 Mya. The genomic basis of the unique physiological and ecological traits enabling these species to thrive in diverse marine habitats remains largely unknown. Additionally, many populations have drastically declined due to anthropogenic activities over the past two centuries, and their recovery is a high global conservation priority. We generated and analyzed high-quality reference genomes for the leatherback (Dermochelys coriacea) and green (Chelonia mydas) turtles, representing the two extant sea turtle families. These genomes are highly syntenic and homologous, but localized regions of noncollinearity were associated with higher copy numbers of immune, zinc-finger, and olfactory receptor (OR) genes in green turtles, with ORs related to waterborne odorants greatly expanded in green turtles. Our findings suggest that divergent evolution of these key gene families may underlie immunological and sensory adaptations assisting navigation, occupancy of neritic versus pelagic environments, and diet specialization. Reduced collinearity was especially prevalent in microchromosomes, with greater gene content, heterozygosity, and genetic distances between species, supporting their critical role in vertebrate evolutionary adaptation. Finally, diversity and demographic histories starkly contrasted between species, indicating that leatherback turtles have had a low yet stable effective population size, exhibit extremely low diversity compared with other reptiles, and harbor a higher genetic load compared with green turtles, reinforcing concern over their persistence under future climate scenarios. These genomes provide invaluable resources for advancing our understanding of evolution and conservation best practices in an imperiled vertebrate lineage.
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24
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Martin CA, Sheppard EC, Illera JC, Suh A, Nadachowska-Brzyska K, Spurgin LG, Richardson DS. Runs of homozygosity reveal past bottlenecks and contemporary inbreeding across diverging populations of an island-colonizing bird. Mol Ecol 2023; 32:1972-1989. [PMID: 36704917 DOI: 10.1111/mec.16865] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 01/11/2023] [Accepted: 01/20/2023] [Indexed: 01/28/2023]
Abstract
Genomes retain evidence of the demographic history and evolutionary forces that have shaped populations and drive speciation. Across island systems, contemporary patterns of genetic diversity reflect population demography, including colonization events, bottlenecks, gene flow and genetic drift. Here, we investigate genome-wide diversity and the distribution of runs of homozygosity (ROH) using whole-genome resequencing of individuals (>22× coverage) from six populations across three archipelagos of Berthelot's pipit (Anthus berthelotii)-a passerine that has recently undergone island speciation. We show the most dramatic reduction in diversity occurs between the mainland sister species (the tawny pipit) and Berthelot's pipit and is lowest in the populations that have experienced sequential bottlenecks (i.e., the Madeiran and Selvagens populations). Pairwise sequential Markovian coalescent (PSMC) analyses estimated that Berthelot's pipit diverged from its sister species ~2 million years ago, with the Madeiran archipelago founded 50,000 years ago, and the Selvagens colonized 8000 years ago. We identify many long ROH (>1 Mb) in these most recently colonized populations. Population expansion within the last 100 years may have eroded long ROH in the Madeiran archipelago, resulting in a prevalence of short ROH (<1 Mb). However, the extensive long and short ROH detected in the Selvagens suggest strong recent inbreeding and bottleneck effects, with as much as 38% of the autosomes consisting of ROH >250 kb. These findings highlight the importance of demographic history, as well as selection and genetic drift, in shaping contemporary patterns of genomic diversity across diverging populations.
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Affiliation(s)
- Claudia A Martin
- School of Biological Sciences, University of East Anglia, Norfolk, UK.,Terrestrial Ecology Unit, Biology Department, Ghent University, Ghent, Belgium
| | | | - Juan Carlos Illera
- Biodiversity Research Institute (CSIC-Oviedo University-Principality of Asturias), University of Oviedo, Mieres, Asturias, Spain
| | - Alexander Suh
- School of Biological Sciences, University of East Anglia, Norfolk, UK.,Department of Organismal Biology - Systematic Biology, Evolutionary Biology Centre (EBC), Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Lewis G Spurgin
- School of Biological Sciences, University of East Anglia, Norfolk, UK
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25
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Araki Y, Sota T. Whole-genome resequencing reveals recent divergence of geographic populations of the dung beetle Phelotrupes auratus with color variation. Ecol Evol 2023; 13:e9765. [PMID: 36713480 PMCID: PMC9873872 DOI: 10.1002/ece3.9765] [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: 07/21/2022] [Revised: 12/18/2022] [Accepted: 01/09/2023] [Indexed: 01/26/2023] Open
Abstract
Knowledge of population divergence history is key to understanding organism diversification mechanisms. The geotrupid dung beetle Phelotrupes auratus, which inhabits montane forests and exhibits three color forms (red, green, and indigo), diverged into five local populations (west/red, south/green, south/indigo, south/red, and east/red) in the Kinki District of Honshu, Japan, based on the combined interpretation of genetic cluster and color-form data. Here, we estimated the demographic histories of these local populations using the newly assembled draft genome sequence of P. auratus and whole-genome resequencing data obtained from each local population. Using coalescent simulation analysis, we estimated P. auratus population divergences at ca. 3800, 2100, 600, and 200 years ago, with no substantial gene flow between diverged populations, implying the existence of persistent barriers to gene flow. Notably, the last two divergence events led to three local populations with different color forms. The initial divergence may have been affected by climatic cooling around that time, and the last three divergence events may have been associated with the increasing impact of human activities. Both climatic cooling and increasing human activity may have caused habitat fragmentation and a reduction in the numbers of large mammals supplying food (dung) for P. auratus, thereby promoting the decline, segregation, and divergence of local populations. Our research demonstrates that geographic population divergence in an insect with conspicuous differences in traits such as body color may have occurred rapidly under the influence of human activity.
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Affiliation(s)
- Yoshifumi Araki
- Department of Zoology, Graduate School of ScienceKyoto UniversityKyotoJapan
| | - Teiji Sota
- Department of Zoology, Graduate School of ScienceKyoto UniversityKyotoJapan
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26
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Hansen CCR, Láruson ÁJ, Rasmussen JA, Ballesteros JAC, Sinding MHS, Hallgrimsson GT, von Schmalensee M, Stefansson RA, Skarphédinsson KH, Labansen AL, Leivits M, Sonne C, Dietz R, Skelmose K, Boertmann D, Eulaers I, Martin MD, Helgason AS, Gilbert MTP, Pálsson S. Genomic diversity and differentiation between island and mainland populations of white-tailed eagles (Haliaeetus albicilla). Mol Ecol 2023; 32:1925-1942. [PMID: 36680370 DOI: 10.1111/mec.16858] [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: 10/12/2021] [Revised: 01/03/2023] [Accepted: 01/13/2023] [Indexed: 01/22/2023]
Abstract
Divergence in the face of high dispersal capabilities is a documented but poorly understood phenomenon. The white-tailed eagle (Haliaeetus albicilla) has a large geographic dispersal capability and should theoretically be able to maintain genetic homogeneity across its dispersal range. However, following analysis of the genomic variation of white-tailed eagles, from both historical and contemporary samples, clear signatures of ancient biogeographic substructure across Europe and the North-East Atlantic is observed. The greatest genomic differentiation was observed between island (Greenland and Iceland) and mainland (Denmark, Norway and Estonia) populations. The two island populations share a common ancestry from a single mainland population, distinct from the other sampled mainland populations, and despite the potential for high connectivity between Iceland and Greenland they are well separated from each other and are characterized by inbreeding and little variation. Temporal differences also highlight a pattern of regional populations persisting despite the potential for admixture. All sampled populations generally showed a decline in effective population size over time, which may have been shaped by four historical events: (1) Isolation of refugia during the last glacial period 110-115,000 years ago, (2) population divergence following the colonization of the deglaciated areas ~10,000 years ago, (3) human population expansion, which led to the settlement in Iceland ~1100 years ago, and (4) human persecution and exposure to toxic pollutants during the last two centuries.
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Affiliation(s)
| | - Áki Jarl Láruson
- Department of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
| | - Jacob Agerbo Rasmussen
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Center for Evolutionary Hologenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesus Adrian Chimal Ballesteros
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Natural History Museum, University of Oslo, Oslo, Norway
| | - Mikkel-Holger S Sinding
- Center for Evolutionary Hologenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Biology, University of Copenhagen, Copenhagen, Denmark
| | - Gunnar T Hallgrimsson
- Department of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
| | | | | | | | | | - Madis Leivits
- Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Tartu, Estonia
| | - Christian Sonne
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Rune Dietz
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Kim Skelmose
- Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - David Boertmann
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Igor Eulaers
- Department of Ecoscience, Aarhus University, Roskilde, Denmark
| | - Michael D Martin
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Agnar S Helgason
- Department of Anthropology, University of Iceland, Reykjavik, Iceland.,deCODE Genetics, Reykjavik, Iceland
| | - M Thomas P Gilbert
- Department of Natural History, NTNU University Museum, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.,Center for Evolutionary Hologenomics, The Globe Institute, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Snaebjörn Pálsson
- Department of Life and Environmental Sciences, University of Iceland, Reykjavik, Iceland
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27
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Hoey JA, Able KW, Pinsky ML. Genetic decline and recovery of a demographically rebuilt fishery species. Mol Ecol 2022; 31:5684-5698. [PMID: 36114805 PMCID: PMC9828022 DOI: 10.1111/mec.16697] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Revised: 09/09/2022] [Accepted: 09/15/2022] [Indexed: 01/13/2023]
Abstract
The demographic history of a population is important for conservation and evolution, but this history is unknown for many populations. Methods that use genomic data have been developed to infer demography, but they can be challenging to implement and interpret, particularly for large populations. Thus, understanding if and when genetic estimates of demography correspond to true population history is important for assessing the performance of these genetic methods. Here, we used double-digest restriction-site associated DNA (ddRAD) sequencing data from archived collections of larval summer flounder (Paralichthys dentatus, n = 279) from three cohorts (1994-1995, 1997-1998 and 2008-2009) along the U.S. East coast to examine how contemporary effective population size and genetic diversity responded to changes in abundance in a natural population. Despite little to no detectable change in genetic diversity, coalescent-based demographic modelling from site frequency spectra revealed that summer flounder effective population size declined dramatically in the early 1980s. The timing and direction of change corresponded well with the observed decline in spawning stock census abundance in the late 1980s from independent fish surveys. Census abundance subsequently recovered and achieved the prebottleneck size. Effective population size also grew following the bottleneck. Our results for summer flounder demonstrate that genetic sampling and site frequency spectra can be useful for detecting population dynamics, even in species with large effective sizes.
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Affiliation(s)
- Jennifer A. Hoey
- Ecology, Evolution, & Natural ResourcesRutgers UniversityNew BrunswickNew JerseyUSA,Institute for Biodiversity Science and SustainabilityCalifornia Academy of SciencesSan FranciscoCaliforniaUSA
| | - Kenneth W. Able
- Marine Field Station, Department of Marine and Coastal Sciences, Rutgers UniversityTuckertonNew JerseyUSA
| | - Malin L. Pinsky
- Ecology, Evolution, & Natural ResourcesRutgers UniversityNew BrunswickNew JerseyUSA
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28
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Reid BN, Pinsky ML. Simulation-Based Evaluation of Methods, Data Types, and Temporal Sampling Schemes for Detecting Recent Population Declines. Integr Comp Biol 2022; 62:1849-1863. [PMID: 36104155 PMCID: PMC9801984 DOI: 10.1093/icb/icac144] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/08/2022] [Accepted: 08/14/2022] [Indexed: 01/05/2023] Open
Abstract
Understanding recent population trends is critical to quantifying species vulnerability and implementing effective management strategies. To evaluate the accuracy of genomic methods for quantifying recent declines (beginning <120 generations ago), we simulated genomic data using forward-time methods (SLiM) coupled with coalescent simulations (msprime) under a number of demographic scenarios. We evaluated both site frequency spectrum (SFS)-based methods (momi2, Stairway Plot) and methods that employ linkage disequilibrium information (NeEstimator, GONE) with a range of sampling schemes (contemporary-only samples, sampling two time points, and serial sampling) and data types (RAD-like data and whole-genome sequencing). GONE and momi2 performed best overall, with >80% power to detect severe declines with large sample sizes. Two-sample and serial sampling schemes could accurately reconstruct changes in population size, and serial sampling was particularly valuable for making accurate inferences when genotyping errors or minor allele frequency cutoffs distort the SFS or under model mis-specification. However, sampling only contemporary individuals provided reliable inferences about contemporary size and size change using either site frequency or linkage-based methods, especially when large sample sizes or whole genomes from contemporary populations were available. These findings provide a guide for researchers designing genomics studies to evaluate recent demographic declines.
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Affiliation(s)
| | - Malin L Pinsky
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, NJ 08901, USA
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29
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Lewanski AL, Golcher-Benavides J, Rick JA, Wagner CE. Variable hybridization between two Lake Tanganyikan cichlid species in recent secondary contact. Mol Ecol 2022; 31:5041-5059. [PMID: 35913373 DOI: 10.1111/mec.16636] [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: 12/06/2021] [Revised: 07/22/2022] [Accepted: 07/26/2022] [Indexed: 12/01/2022]
Abstract
Closely related taxa frequently exist in sympatry before the evolution of robust reproductive barriers, which can lead to substantial gene flow. Post-divergence gene flow can promote several disparate trajectories of divergence ranging from the erosion of distinctiveness and eventual collapse of the taxa to the strengthening of reproductive isolation. Among many relevant factors, understanding the demographic history of divergence (e.g. divergence time, extent of historical gene flow) can be particularly informative when examining contemporary gene flow between closely related taxa because this history can influence gene flow's prevalence and consequences. Here, we used genotyping-by-sequencing data to investigate speciation and contemporary hybridization in two closely related and sympatrically distributed Lake Tanganyikan cichlid species in the genus Petrochromis. Demographic modeling supported a speciation scenario involving divergence in isolation followed by secondary contact with bidirectional gene flow. Further investigation of this recent gene flow found evidence of ongoing hybridization between the species that varied in extent between different co-occurring populations. Relationships between abundance and the degree of admixture across populations suggest that the availability of conspecific mates may influence patterns of hybridization. These results, together with the observation that sets of recently diverged cichlid taxa are generally geographically separated in the lake, suggest that ongoing speciation in Lake Tanganyikan cichlids relies on initial spatial isolation. Additionally, the spatially heterogeneous patterns of admixture between the Petrochromis species illustrates the complexities of hybridization when species are in recent secondary contact.
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Affiliation(s)
| | - Jimena Golcher-Benavides
- Department of Botany, University of Wyoming, Laramie, WY, USA.,Program in Ecology, University of Wyoming, Laramie, WY, USA
| | - Jessica A Rick
- Department of Botany, University of Wyoming, Laramie, WY, USA.,Program in Ecology, University of Wyoming, Laramie, WY, USA
| | - Catherine E Wagner
- Department of Botany, University of Wyoming, Laramie, WY, USA.,Program in Ecology, University of Wyoming, Laramie, WY, USA.,Biodiversity Institute, University of Wyoming, Laramie, WY, USA
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30
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Sotiropoulos AG, Arango-Isaza E, Ban T, Barbieri C, Bourras S, Cowger C, Czembor PC, Ben-David R, Dinoor A, Ellwood SR, Graf J, Hatta K, Helguera M, Sánchez-Martín J, McDonald BA, Morgounov AI, Müller MC, Shamanin V, Shimizu KK, Yoshihira T, Zbinden H, Keller B, Wicker T. Global genomic analyses of wheat powdery mildew reveal association of pathogen spread with historical human migration and trade. Nat Commun 2022; 13:4315. [PMID: 35882860 PMCID: PMC9315327 DOI: 10.1038/s41467-022-31975-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 07/13/2022] [Indexed: 12/25/2022] Open
Abstract
The fungus Blumeria graminis f. sp. tritici causes wheat powdery mildew disease. Here, we study its spread and evolution by analyzing a global sample of 172 mildew genomes. Our analyses show that B.g. tritici emerged in the Fertile Crescent during wheat domestication. After it spread throughout Eurasia, colonization brought it to America, where it hybridized with unknown grass mildew species. Recent trade brought USA strains to Japan, and European strains to China. In both places, they hybridized with local ancestral strains. Thus, although mildew spreads by wind regionally, our results indicate that humans drove its global spread throughout history and that mildew rapidly evolved through hybridization. The fungus Blumeria graminis f. sp. tritici causes wheat powdery mildew disease. Here, Sotiropoulos et al. analyze a global sample of 172 mildew genomes, providing evidence that humans drove global spread of the pathogen throughout history and that mildew rapidly evolved through hybridization with local fungal strains.
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Affiliation(s)
| | - Epifanía Arango-Isaza
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland
| | - Tomohiro Ban
- Kihara Institute for Biological Research, Yokohama City University, Yokohama, Kanagawa, Japan
| | - Chiara Barbieri
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, 04103, Germany
| | - Salim Bourras
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.,Department of Forest Mycology and Plant Pathology, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Christina Cowger
- USDA-ARS Department of Plant Pathology, North Carolina State University, Raleigh, NC, USA
| | - Paweł C Czembor
- Plant Breeding and Acclimatization Institute - National Research Institute, Radzików, 05-870 Błonie, Poland
| | - Roi Ben-David
- Department of Vegetables and Field crops, Institute of Plant Sciences, ARO-Volcani Center, Rishon LeZion, 7528809, Israel
| | - Amos Dinoor
- Department of Plant Pathology and Microbiology, The Robert H. Smith Faculty of Agriculture, Food & Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Simon R Ellwood
- Centre for Crop and Disease Management, School of Molecular and Life Sciences, Curtin University, Bentley, WA, 6102, Australia
| | - Johannes Graf
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Koichi Hatta
- Hokkaido Agricultural Research Center Field Crop Research and Development, National Agricultural Research Organization, Sapporo, Hokkaido, Japan
| | - Marcelo Helguera
- Centro de Investigaciones Agropecuarias (CIAP), INTA, Córdoba, Argentina
| | - Javier Sánchez-Martín
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Bruce A McDonald
- Plant Pathology, Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland
| | - Alexey I Morgounov
- Food and Agriculture Organization of the United Nations, Riyadh, Saudi Arabia
| | - Marion C Müller
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | | | - Kentaro K Shimizu
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.,Kihara Institute for Biological Research, Yokohama City University, Yokohama, Kanagawa, Japan
| | - Taiki Yoshihira
- Department of Sustainable Agriculture, Rakuno Gakuen University, Ebetsu, Hokkaido, Japan
| | - Helen Zbinden
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Beat Keller
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland
| | - Thomas Wicker
- Department of Plant and Microbial Biology, University of Zurich, Zurich, Switzerland.
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31
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Tiley GP, van Elst T, Teixeira H, Schüßler D, Salmona J, Blanco MB, Ralison JM, Randrianambinina B, Rasoloarison RM, Stahlke AR, Hohenlohe PA, Chikhi L, Louis EE, Radespiel U, Yoder AD. Population genomic structure in Goodman's mouse lemur reveals long-standing separation of Madagascar's Central Highlands and eastern rainforests. Mol Ecol 2022; 31:4901-4918. [PMID: 35880414 DOI: 10.1111/mec.16632] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2020] [Revised: 06/25/2022] [Accepted: 07/08/2022] [Indexed: 11/28/2022]
Abstract
Madagascar's Central Highlands are largely composed of grasslands, interspersed with patches of forest. The historical perspective was that Madagascar's grasslands had anthropogenic origins, but emerging evidence suggests that grasslands were a component of the pre-human Central Highlands vegetation. Consequently, there is now vigorous debate regarding the extent to which these grasslands have expanded due to anthropogenic pressures. Here, we shed light on the temporal dynamics of Madagascar's vegetative composition by conducting a population genomic investigation of Goodman's mouse lemur (Microcebus lehilahytsara; Cheirogaleidae). These small-bodied primates occur both in Madagascar's eastern rainforests and in the Central Highlands, making them a valuable indicator species. Population divergences among forest-dwelling mammals will reflect changes to their habitat, including fragmentation, whereas patterns of post-divergence gene flow can reveal formerly wooded migration corridors. To explore these patterns, we used RADseq data to infer population genetic structure, demographic models of post-divergence gene flow, and population size change through time. The results offer evidence that open habitats are an ancient component of the Central Highlands, and that wide-spread forest fragmentation occurred naturally during a period of decreased precipitation near the Last Glacial Maximum. Models of gene flow suggest that migration across the Central Highlands has been possible from the Pleistocene through the recent Holocene via riparian corridors. Though our findings support the hypothesis that Central Highland grasslands predate human arrival, we also find evidence for human-mediated population declines. This highlights the extent to which species imminently threatened by human-mediated deforestation may already be vulnerable from paleoclimatic conditions.
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Affiliation(s)
- George P Tiley
- Department of Biology, Duke University, Durham, NC, USA.,Royal Botanic Gardens Kew, Richmond, UK
| | - Tobias van Elst
- Institute of Zoology, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Helena Teixeira
- Institute of Zoology, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Dominik Schüßler
- Research Group Vegetation Ecology and Nature Conservation, Institute of Biology and Chemistry, University of Hildesheim, Hildesheim, Germany
| | - Jordi Salmona
- CNRS, Université Paul Sabatier, IRD; UMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Toulouse, France
| | | | - José M Ralison
- Département de Biologie Animale, Université d'Antananarivo, Antananarivo, Madagascar
| | - Blanchard Randrianambinina
- Group d'Etude et de Recherche sur les Primates de Madagascar (GERP), Antananarivo, Madagascar.,Faculté des Sciences, University of Mahajanga, Mahajanga, Madagascar
| | - Rodin M Rasoloarison
- Département de Biologie Animale, Université d'Antananarivo, Antananarivo, Madagascar.,Group d'Etude et de Recherche sur les Primates de Madagascar (GERP), Antananarivo, Madagascar
| | - Amanda R Stahlke
- Institute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| | - Paul A Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, ID, USA
| | - Lounès Chikhi
- CNRS, Université Paul Sabatier, IRD; UMR5174 EDB (Laboratoire Évolution & Diversité Biologique), Toulouse, France.,Instituto Gulbenkian de Ciência, Rua da Quinta Grande, Oeiras, Portugal
| | - Edward E Louis
- Grewcock Center for Conservation and Research, Omaha's Henry Doorly Zoo and Aquarium, Omaha, NE, USA
| | - Ute Radespiel
- Institute of Zoology, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Anne D Yoder
- Department of Biology, Duke University, Durham, NC, USA
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32
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ddRAD Sequencing-Based Scanning of Genetic Variants in Sargassum fusiforme. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2022. [DOI: 10.3390/jmse10070958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Sargassum fusiforme is a commercially important brown seaweed that has experienced significant population reduction both from heavy exploitation and degradation of the environment. Cultivated breed strains are also in a state of population mixing. These population stressors make it necessary to investigate the population genetics to discover best practices to conserve and breed this seaweed. In this study, the genetic diversity and population structure of S. fusiforme were investigated by the genome-wide SNP data acquired from double digest restriction site-associated DNA sequencing (ddRAD-seq). We found a low genetic diversity and a slight population differentiation within and between wild and cultivated populations, and the effective population size of S. fusiforme had experienced a continuous decline. Tajima’s D analysis showed the population contraction in wild populations may be related to copper pollution which showed a consistent trend with the increase of the sea surface temperature. The potential selection signatures may change the timing or level of gene expression, and further experiments are needed to investigate the effect of the mutation on relevant pathways. These results suggest an urgent need to manage and conserve S. fusiforme resources and biodiversity considering the accelerating change of the environment.
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33
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Portinha B, Avril A, Bernasconi C, Helanterä H, Monaghan J, Seifert B, Sousa VC, Kulmuni J, Nouhaud P. Whole-genome analysis of multiple wood ant population pairs supports similar speciation histories, but different degrees of gene flow, across their European ranges. Mol Ecol 2022; 31:3416-3431. [PMID: 35460311 PMCID: PMC9320829 DOI: 10.1111/mec.16481] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 11/30/2022]
Abstract
The application of demographic history modelling and inference to the study of divergence between species has become a cornerstone of speciation genomics. Speciation histories are usually reconstructed by analysing single populations from each species, assuming that the inferred population history represents the actual speciation history. However, this assumption may not be met when species diverge with gene flow, for example, when secondary contact may be confined to specific geographic regions. Here, we tested whether divergence histories inferred from heterospecific populations may vary depending on their geographic locations, using the two wood ant species Formica polyctena and F. aquilonia. We performed whole‐genome resequencing of 20 individuals sampled in multiple locations across the European ranges of both species. Then, we reconstructed the histories of distinct heterospecific population pairs using a coalescent‐based approach. Our analyses always supported a scenario of divergence with gene flow, suggesting that divergence started in the Pleistocene (c. 500 kya) and occurred with continuous asymmetrical gene flow from F. aquilonia to F. polyctena until a recent time, when migration became negligible (2–19 kya). However, we found support for contemporary gene flow in a sympatric pair from Finland, where the species hybridise, but no signature of recent bidirectional gene flow elsewhere. Overall, our results suggest that divergence histories reconstructed from a few individuals may be applicable at the species level. Nonetheless, the geographical context of populations chosen to represent their species should be taken into account, as it may affect estimates of migration rates between species when gene flow is spatially heterogeneous.
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Affiliation(s)
- Beatriz Portinha
- Organismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,cE3c, Centre for Ecology, Evolution and Environmental changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Edifício C2, 1749-016, Lisboa, Portugal
| | - Amaury Avril
- Department of Ecology and Evolution, University of Lausanne, 1015, Lausanne, Switzerland
| | | | - Heikki Helanterä
- Ecology and Genetics research unit, University of Oulu, PO Box 3000, 90014, Oulu, Finland
| | | | | | - Vitor C Sousa
- cE3c, Centre for Ecology, Evolution and Environmental changes, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, Edifício C2, 1749-016, Lisboa, Portugal
| | - Jonna Kulmuni
- Organismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,Tvärminne Zoological Station, University of Helsinki, Hanko, Finland
| | - Pierre Nouhaud
- Organismal & Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
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34
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Ma Y, Liu D, Wariss HM, Zhang R, Tao L, Milne RI, Sun W. Demographic history and identification of threats revealed by population genomic analysis provide insights into conservation for an endangered maple. Mol Ecol 2021; 31:767-779. [PMID: 34826164 DOI: 10.1111/mec.16289] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Revised: 11/17/2021] [Accepted: 11/22/2021] [Indexed: 12/01/2022]
Abstract
Recent advancements in whole genome sequencing techniques capable of covering nearly all the nucleotide variations of a genome would make it possible to set up a conservation framework for threatened plants at the genomic level. Here we applied a whole genome resequencing approach to obtain genome-wide data from 105 individuals sampled from the 10 currently known extant populations of Acer yangbiense, an endangered species with fragmented habitats and restricted distribution in Yunnan, China. To inform meaningful conservation action, we investigated what factors might have contributed to the formation of its extremely small population sizes and what threats it currently suffers at a genomic level. Our results revealed that A. yangbiense has low genetic diversity and comprises different numbers of genetic groups based on neutral (seven) and selected loci (13), with frequent gene flow between populations. Repeated bottleneck events, particularly the most recent one occurring within ~10,000 years before present, which decreased its effective population size (Ne ) < 200, and severe habitat fragmentation resulting from anthropogenic activities as well as a biased gender ratio of mature individuals in its natural habitat, might have together contributed to the currently fragmented and endangered status of A. yangbiense. The species has suffered from inbreeding and deleterious mutation load, both of which varied among populations but had similar patterns; that is, populations with higher FROH (frequency of runs of homozygosity) always carried a larger number of deleterious mutations in the homozygous state than in populations with lower FROH. In addition, based on our genetic differentiation results, and the distribution patterns of homozygous deleterious mutations in individuals, we recommend certain conservation actions regarding the genetic rescue of A. yangbiense. Overall, our study provides meaningful insights into the conservation genetics and a framework for the further conservation for the endangered A. yangbiense.
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Affiliation(s)
- Yongpeng Ma
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Key Laboratory for Plant Diversity and Biogeography of East Asia, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China
| | - Detuan Liu
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Key Laboratory for Plant Diversity and Biogeography of East Asia, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Hafiz Muhammad Wariss
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Key Laboratory for Plant Diversity and Biogeography of East Asia, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China
| | - Rengang Zhang
- Beijing Ori-Gene Science and Technology Co. Ltd, Beijing, China
| | - Lidan Tao
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Key Laboratory for Plant Diversity and Biogeography of East Asia, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China
| | - Richard I Milne
- Institute of Molecular Plant Sciences, University of Edinburgh, Edinburgh, UK
| | - Weibang Sun
- Yunnan Key Laboratory for Integrative Conservation of Plant Species with Extremely Small Populations, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Key Laboratory for Plant Diversity and Biogeography of East Asia, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China.,Kunming Botanical Garden, Chinese Academy of Sciences, Kunming Institute of Botany, Kunming, China
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35
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Lu CW, Yao CT, Hung CM. Domestication obscures genomic estimates of population history. Mol Ecol 2021; 31:752-766. [PMID: 34779057 DOI: 10.1111/mec.16277] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 11/05/2021] [Accepted: 11/08/2021] [Indexed: 11/28/2022]
Abstract
Domesticated species are valuable models to examine phenotypic evolution, and knowledge on domestication history is critical for understanding the trajectories of evolutionary changes. Sequentially Markov Coalescent models are often used to infer domestication history. However, domestication practices may obscure the signal left by population history, affecting demographic inference. Here we assembled the genomes of a recently domesticated species-the society finch-and its parent species-the white-rumped munia-to examine its domestication history. We applied genomic analyses to two society finch breeds and white-rumped munias to test whether domestication of the former resulted from inbreeding or hybridization. The society finch showed longer and more runs of homozygosity and lower genomic heterozygosity than the white-rumped munia, supporting an inbreeding origin in the former. Blocks of white-rumped munia and other ancestry in society finch genomes showed similar genetic distance between the two taxa, inconsistent with the hybridization origin hypothesis. We then applied two Sequentially Markov Coalescent models-psmc and smc++-to infer the demographic histories of both. Surprisingly, the two models did not reveal a recent population bottleneck, but instead the psmc model showed a specious, dramatic population increase in the society finch. Subsequently, we used simulated genomes based on an array of demographic scenarios to demonstrate that recent inbreeding, not hybridization, caused the distorted psmc population trajectory. Such analyses could have misled our understanding of the domestication process. Our findings stress caution when interpreting the histories of recently domesticated species inferred by psmc, arguing that these histories require multiple analyses to validate.
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Affiliation(s)
- Chia-Wei Lu
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
| | - Cheng-Te Yao
- Division of Zoology, Endemic Species Research Institute, Nantou, Taiwan
| | - Chih-Ming Hung
- Biodiversity Research Center, Academia Sinica, Taipei, Taiwan
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36
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Teixeira H, Salmona J, Arredondo A, Mourato B, Manzi S, Rakotondravony R, Mazet O, Chikhi L, Metzger J, Radespiel U. Impact of model assumptions on demographic inferences: the case study of two sympatric mouse lemurs in northwestern Madagascar. BMC Ecol Evol 2021; 21:197. [PMID: 34727890 PMCID: PMC8561976 DOI: 10.1186/s12862-021-01929-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 10/18/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Quaternary climate fluctuations have been acknowledged as major drivers of the geographical distribution of the extraordinary biodiversity observed in tropical biomes, including Madagascar. The main existing framework for Pleistocene Malagasy diversification assumes that forest cover was strongly shaped by warmer Interglacials (leading to forest expansion) and by cooler and arid glacials (leading to forest contraction), but predictions derived from this scenario for forest-dwelling animals have rarely been tested with genomic datasets. RESULTS We generated genomic data and applied three complementary demographic approaches (Stairway Plot, PSMC and IICR-simulations) to infer population size and connectivity changes for two forest-dependent primate species (Microcebus murinus and M. ravelobensis) in northwestern Madagascar. The analyses suggested major demographic changes in both species that could be interpreted in two ways, depending on underlying model assumptions (i.e., panmixia or population structure). Under panmixia, the two species exhibited larger population sizes across the Last Glacial Maximum (LGM) and towards the African Humid Period (AHP). This peak was followed by a population decline in M. ravelobensis until the present, while M. murinus may have experienced a second population expansion that was followed by a sharp decline starting 3000 years ago. In contrast, simulations under population structure suggested decreasing population connectivity between the Last Interglacial and the LGM for both species, but increased connectivity during the AHP exclusively for M. murinus. CONCLUSION Our study shows that closely related species may differ in their responses to climatic events. Assuming that Pleistocene climatic conditions in the lowlands were similar to those in the Malagasy highlands, some demographic dynamics would be better explained by changes in population connectivity than in population size. However, changes in connectivity alone cannot be easily reconciled with a founder effect that was shown for M. murinus during its colonization of the northwestern Madagascar in the late Pleistocene. To decide between the two alternative models, more knowledge about historic forest dynamics in lowland habitats is necessary. Altogether, our study stresses that demographic inferences strongly depend on the underlying model assumptions. Final conclusions should therefore be based on a comparative evaluation of multiple approaches.
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Affiliation(s)
- Helena Teixeira
- Institute of Zoology, University of Veterinary Medicine Hannover, Foundation, Bünteweg 17, 30559, Hannover, Germany.
| | - Jordi Salmona
- Laboratoire Évolution and Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 Route de Narbonne, Bât. 4R1, 31062, Toulouse cedex 9, France
| | - Armando Arredondo
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
- Université de Toulouse, Institut National des Sciences Appliquées, Institut de Mathématiques de Toulouse, Toulouse, France
| | - Beatriz Mourato
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
| | - Sophie Manzi
- Laboratoire Évolution and Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 Route de Narbonne, Bât. 4R1, 31062, Toulouse cedex 9, France
| | - Romule Rakotondravony
- Ecole Doctorale Ecosystèmes Naturels (EDEN), University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, 401, Mahajanga, Madagascar
- Faculté des Sciences, de Technologies et de l'Environnement, University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, 401, Mahajanga, Madagascar
| | - Olivier Mazet
- Université de Toulouse, Institut National des Sciences Appliquées, Institut de Mathématiques de Toulouse, Toulouse, France
| | - Lounès Chikhi
- Laboratoire Évolution and Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 Route de Narbonne, Bât. 4R1, 31062, Toulouse cedex 9, France
- Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, 2780-156, Oeiras, Portugal
| | - Julia Metzger
- Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Foundation, Bünteweg 17p, 30559, Hannover, Germany
- Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195, Berlin, Germany
| | - Ute Radespiel
- Institute of Zoology, University of Veterinary Medicine Hannover, Foundation, Bünteweg 17, 30559, Hannover, Germany.
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Nadachowska‐Brzyska K, Konczal M, Babik W. Navigating the temporal continuum of effective population size. Methods Ecol Evol 2021. [DOI: 10.1111/2041-210x.13740] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Affiliation(s)
| | | | - Wieslaw Babik
- Jagiellonian University in Kraków Faculty of Biology Institute of Environmental Sciences Kraków Poland
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Brüniche-Olsen A, Kellner KF, Belant JL, DeWoody JA. Life-history traits and habitat availability shape genomic diversity in birds: implications for conservation. Proc Biol Sci 2021; 288:20211441. [PMID: 34702080 PMCID: PMC8548786 DOI: 10.1098/rspb.2021.1441] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 10/06/2021] [Indexed: 12/15/2022] Open
Abstract
More than 25% of species assessed by the International Union for Conservation of Nature (IUCN) are threatened with extinction. Understanding how environmental and biological processes have shaped genomic diversity may inform management practices. Using 68 extant avian species, we parsed the effects of habitat availability and life-history traits on genomic diversity over time to provide a baseline for conservation efforts. We used published whole-genome sequence data to estimate overall genomic diversity as indicated by historical long-term effective population sizes (Ne) and current genomic variability (H), then used environmental niche modelling to estimate Pleistocene habitat dynamics for each species. We found that Ne and H were positively correlated with habitat availability and related to key life-history traits (body mass and diet), suggesting the latter contribute to the overall genomic variation. We found that H decreased with increasing species extinction risk, suggesting that H may serve as a leading indicator of demographic trends related to formal IUCN conservation status in birds. Our analyses illustrate that genome-wide summary statistics estimated from sequence data reflect meaningful ecological attributes relevant to species conservation.
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Affiliation(s)
- Anna Brüniche-Olsen
- Section for Computational and RNA Biology, Department of Biology, University of Copenhagen, 2200 KBH N Copenhagen, Denmark
| | - Kenneth F. Kellner
- Global Wildlife Conservation Center, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, USA
| | - Jerrold L. Belant
- Global Wildlife Conservation Center, State University of New York College of Environmental Science and Forestry, Syracuse, NY 13210, USA
| | - J. Andrew DeWoody
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 47905, USA
- Department of Biological Sciences, Purdue University, West Lafayette, IN 47905, USA
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39
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Tao Y, Chen B, Kang M, Liu Y, Wang J. Genome-Wide Evidence for Complex Hybridization and Demographic History in a Group of Cycas From China. Front Genet 2021; 12:717200. [PMID: 34527022 PMCID: PMC8435751 DOI: 10.3389/fgene.2021.717200] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 08/10/2021] [Indexed: 11/24/2022] Open
Abstract
Cycads represent one of the most ancestral living seed plants as well as one of the most threatened plant groups in the world. South China is a major center and potential origin of Cycas, the most rapidly diversified lineage of cycads. However, genomic-wide diversity of Cycas remains poorly understood due to the challenge of generating genomic markers associated with their inherent large genomes. Here, we perform a comprehensive conservation genomic study based on restriction-site associated DNA sequencing (RADseq) data in six representative species of Cycas in South China. Consistently low genetic diversity and strong genetic differentiation were detected across species. Both phylogenetic inference and genetic structure analysis via several methods revealed generally congruent groups among the six Cycas species. The analysis with ADMIXTURE showed low mixing of genetic composition among species, while individuals of C. dolichophylla exhibited substantial genetic admixture with C. bifida, C. changjiangensis, and C. balansae. Furthermore, the results from Treemix, f4-statistic, and ABBA-BABA test were generally consistent and revealed the complex patterns of interspecific gene flow. Relatively strong signals of hybridization were detected between C. dolichophylla and C. szechuanensis, and the ancestor of C. taiwaniana and C. changjiangensis. Distinct patterns of demographic history were inferred for these species by Stairway Plot, and our results suggested that both climate fluctuation and frequent geological activities during the late Pleistocene exerted deep impacts on the population dynamics of these species in South China. Finally, we explore the practical implications of our findings for the development of conservation strategies in Cycas. The present study demonstrates the efficiency of RADseq for conservation genomic studies on non-model species with large and complex genomes. Given the great significance of cycads as a radical transition in the evolution of plant biodiversity, our study provides important insights into the mechanisms of diversification in such recently radiated living fossil taxa.
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Affiliation(s)
- Yueqi Tao
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,University of Chinese Academy of Sciences, Beijing, China
| | - Bin Chen
- Shanghai Chenshan Botanical Garden, Shanghai, China.,Eastern China Conservation Center for Wild Endangered Plant Resources, Shanghai, China
| | - Ming Kang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, China
| | - Yongbo Liu
- State Environment Protection Key Laboratory of Regional Ecological Process and Functional Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China
| | - Jing Wang
- Key Laboratory of Plant Resources Conservation and Sustainable Utilization, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.,Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Guangzhou, China
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40
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Teixeira H, Montade V, Salmona J, Metzger J, Bremond L, Kasper T, Daut G, Rouland S, Ranarilalatiana S, Rakotondravony R, Chikhi L, Behling H, Radespiel U. Past environmental changes affected lemur population dynamics prior to human impact in Madagascar. Commun Biol 2021; 4:1084. [PMID: 34526636 PMCID: PMC8443640 DOI: 10.1038/s42003-021-02620-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Accepted: 08/31/2021] [Indexed: 02/08/2023] Open
Abstract
Quaternary climatic changes have been invoked as important drivers of species diversification worldwide. However, the impact of such changes on vegetation and animal population dynamics in tropical regions remains debated. To overcome this uncertainty, we integrated high-resolution paleoenvironmental reconstructions from a sedimentary record covering the past 25,000 years with demographic inferences of a forest-dwelling primate species (Microcebus arnholdi), in northern Madagascar. Result comparisons suggest that climate changes through the African Humid Period (15.2 - 5.5 kyr) strongly affected the demographic dynamics of M. arnholdi. We further inferred a population decline in the last millennium which was likely shaped by the combination of climatic and anthropogenic impacts. Our findings demonstrate that population fluctuations in Malagasy wildlife were substantial prior to a significant human impact. This provides a critical knowledge of climatically driven, environmental and ecological changes in the past, which is essential to better understand the dynamics and resilience of current biodiversity.
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Affiliation(s)
- Helena Teixeira
- grid.412970.90000 0001 0126 6191Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559 Hannover, Germany
| | - Vincent Montade
- grid.7450.60000 0001 2364 4210University of Goettingen, Department of Palynology and Climate Dynamics, Untere Karspüle 2, 37073 Goettingen, Germany ,grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Jordi Salmona
- grid.15781.3a0000 0001 0723 035XCNRS-UPS-IRD, UMR5174, Laboratoire Évolution & Diversité Biologique, Université Paul Sabatier, 118 route de Narbonne, 31062 Toulouse, France
| | - Julia Metzger
- grid.412970.90000 0001 0126 6191Institute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Bünteweg 17p, 30559 Hannover, Germany ,grid.419538.20000 0000 9071 0620Veterinary Functional Genomics, Max Planck Institute for Molecular Genetics, Ihnestrasse 73, 14195 Berlin, Germany
| | - Laurent Bremond
- grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Thomas Kasper
- grid.9613.d0000 0001 1939 2794Friedrich-Schiller-University Jena, Department of Physical Geography, Loebdergraben 32, 07743 Jena, Germany
| | - Gerhard Daut
- grid.9613.d0000 0001 1939 2794Friedrich-Schiller-University Jena, Department of Physical Geography, Loebdergraben 32, 07743 Jena, Germany
| | - Sylvie Rouland
- grid.462058.d0000 0001 2188 7059ISEM, Université Montpellier, CNRS, IRD, EPHE, Place Eugène Bataillon, Montpellier, France
| | - Sandratrinirainy Ranarilalatiana
- grid.440419.c0000 0001 2165 5629Université d’Antananarivo, Faculté des Sciences, Mention Biologie et Ecologie Végétale, Laboratoire de Palynologie Appliquée, B.P 905 - 101, Antananarivo, Madagascar
| | - Romule Rakotondravony
- Ecole Doctorale Ecosystèmes Naturels (EDEN), University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, Mahajanga, 401 Madagascar ,Faculté des Sciences, de Technologies et de l’Environnement, University of Mahajanga, 5 Rue Georges V - Immeuble KAKAL, Mahajanga Be, B.P. 652, Mahajanga, 401 Madagascar
| | - Lounès Chikhi
- grid.418346.c0000 0001 2191 3202Instituto Gulbenkian de Ciência, Rua da Quinta Grande, 6, P-2780-156 Oeiras, Portugal ,grid.4399.70000000122879528Laboratoire Évolution & Diversité Biologique (EDB UMR 5174), Université de Toulouse Midi-Pyrénées, CNRS, IRD, UPS, 118 route de Narbonne, Bât. 4R1, 31062 Toulouse cedex 9, France
| | - Hermann Behling
- grid.7450.60000 0001 2364 4210University of Goettingen, Department of Palynology and Climate Dynamics, Untere Karspüle 2, 37073 Goettingen, Germany
| | - Ute Radespiel
- grid.412970.90000 0001 0126 6191Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559 Hannover, Germany
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41
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Patil AB, Vijay N. Repetitive genomic regions and the inference of demographic history. Heredity (Edinb) 2021; 127:151-166. [PMID: 34002046 PMCID: PMC8322061 DOI: 10.1038/s41437-021-00443-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 04/16/2021] [Accepted: 04/17/2021] [Indexed: 02/03/2023] Open
Abstract
Inference of demographic histories using whole-genome datasets has provided insights into diversification, adaptation, hybridization, and plant-pathogen interactions, and stimulated debate on the impact of anthropogenic interventions and past climate on species demography. However, the impact of repetitive genomic regions on these inferences has mostly been ignored by masking of repeats. We use the Populus trichocarpa genome (Pop_tri_v3) to show that masking of repeat regions leads to lower estimates of effective population size (Ne) in the distant past in contrast to an increase in Ne estimates in recent times. However, in human datasets, masking of repeats resulted in lower estimates of Ne at all time points. We demonstrate that repeats affect demographic inferences using diverse methods like PSMC, MSMC, SMC++, and the Stairway plot. Our genomic analysis revealed that the biases in Ne estimates were dependent on the repeat class type and its abundance in each atomic interval. Notably, we observed a weak, yet consistently significant negative correlation between the repeat abundance of an atomic interval and the Ne estimates for that interval, which potentially reflects the recombination rate variation within the genome. The rationale for the masking of repeats has been that variants identified within these regions are erroneous. We find that polymorphisms in some repeat classes occur in callable regions and reflect reliable coalescence histories (e.g., LTR Gypsy, LTR Copia). The current demography inference methods do not handle repeats explicitly, and hence the effect of individual repeat classes needs careful consideration in comparative analysis. Deciphering the repeat demographic histories might provide a clear understanding of the processes involved in repeat accumulation.
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Affiliation(s)
- Ajinkya Bharatraj Patil
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India
| | - Nagarjun Vijay
- Computational Evolutionary Genomics Lab, Department of Biological Sciences, IISER Bhopal, Bhauri, Madhya Pradesh, India.
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42
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Prasad A, Lorenzen ED, Westbury MV. Evaluating the role of reference-genome phylogenetic distance on evolutionary inference. Mol Ecol Resour 2021; 22:45-55. [PMID: 34176238 DOI: 10.1111/1755-0998.13457] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/26/2021] [Accepted: 06/23/2021] [Indexed: 12/15/2022]
Abstract
When a high-quality genome assembly of a target species is unavailable, an option to avoid the costly de novo assembly process is a mapping-based assembly. However, mapping shotgun data to a distant relative may lead to biased or erroneous evolutionary inference. Here, we used short-read data from a mammal (beluga whale) and a bird species (rowi kiwi) to evaluate whether reference genome phylogenetic distance can impact downstream demographic (Pairwise Sequentially Markovian Coalescent) and genetic diversity (heterozygosity, runs of homozygosity) analyses. We mapped to assemblies of species of varying phylogenetic distance (from conspecific to genome-wide divergence of >7%), and de novo assemblies created using cross-species scaffolding. We show that while reference genome phylogenetic distance has an impact on demographic analyses, it is not pronounced until using a reference genome with >3% divergence from the target species. When mapping to cross-species scaffolded assemblies, we are unable to replicate the original beluga demographic results, but are able with the rowi kiwi, presumably reflecting the more fragmented nature of the beluga assemblies. We find that increased phylogenetic distance has a pronounced impact on genetic diversity estimates; heterozygosity estimates deviate incrementally with increasing phylogenetic distance. Moreover, runs of homozygosity are largely undetectable when mapping to any nonconspecific assembly. However, these biases can be reduced when mapping to a cross-species scaffolded assembly. Taken together, our results show that caution should be exercised when selecting reference genomes. Cross-species scaffolding may offer a way to avoid a costly, traditional de novo assembly, while still producing robust, evolutionary inference.
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Affiliation(s)
- Aparna Prasad
- GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
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43
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North HL, McGaughran A, Jiggins CD. Insights into invasive species from whole-genome resequencing. Mol Ecol 2021; 30:6289-6308. [PMID: 34041794 DOI: 10.1111/mec.15999] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 03/12/2021] [Accepted: 04/30/2021] [Indexed: 12/12/2022]
Abstract
Studies of invasive species can simultaneously inform management strategies and quantify rapid evolution in the wild. The role of genomics in invasion science is increasingly recognised, and the growing availability of reference genomes for invasive species is paving the way for whole-genome resequencing studies in a wide range of systems. Here, we survey the literature to assess the application of whole-genome resequencing data in invasion biology. For some applications, such as the reconstruction of invasion routes in time and space, sequencing the whole genome of many individuals can increase the accuracy of existing methods. In other cases, population genomic approaches such as haplotype analysis can permit entirely new questions to be addressed and new technologies applied. To date whole-genome resequencing has only been used in a handful of invasive systems, but these studies have confirmed the importance of processes such as balancing selection and hybridization in allowing invasive species to reuse existing adaptations and rapidly overcome the challenges of a foreign ecosystem. The use of genomic data does not constitute a paradigm shift per se, but by leveraging new theory, tools, and technologies, population genomics can provide unprecedented insight into basic and applied aspects of invasion science.
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Affiliation(s)
- Henry L North
- Department of Zoology, University of Cambridge, Cambridge, UK
| | - Angela McGaughran
- Te Aka Mātuatua/School of Science, University of Waikato, Hamilton, New Zealand
| | - Chris D Jiggins
- Department of Zoology, University of Cambridge, Cambridge, UK
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Stahlke AR, Epstein B, Barbosa S, Margres MJ, Patton AH, Hendricks SA, Veillet A, Fraik AK, Schönfeld B, McCallum HI, Hamede R, Jones ME, Storfer A, Hohenlohe PA. Contemporary and historical selection in Tasmanian devils ( Sarcophilus harrisii) support novel, polygenic response to transmissible cancer. Proc Biol Sci 2021; 288:20210577. [PMID: 34034517 PMCID: PMC8150010 DOI: 10.1098/rspb.2021.0577] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 05/04/2021] [Indexed: 12/17/2022] Open
Abstract
Tasmanian devils (Sarcophilus harrisii) are evolving in response to a unique transmissible cancer, devil facial tumour disease (DFTD), first described in 1996. Persistence of wild populations and the recent emergence of a second independently evolved transmissible cancer suggest that transmissible cancers may be a recurrent feature in devils. Here, we compared signatures of selection across temporal scales to determine whether genes or gene pathways under contemporary selection (six to eight generations) have also been subject to historical selection (65-85 Myr). First, we used targeted sequencing, RAD-capture, in approximately 2500 devils in six populations to identify genomic regions subject to rapid evolution. We documented genome-wide contemporary evolution, including 186 candidate genes related to cell cycling and immune response. Then we used a molecular evolution approach to identify historical positive selection in devils compared to other marsupials and found evidence of selection in 1773 genes. However, we found limited overlap across time scales, with only 16 shared candidate genes, and no overlap in enriched functional gene sets. Our results are consistent with a novel, multi-locus evolutionary response of devils to DFTD. Our results can inform conservation by identifying high priority targets for genetic monitoring and guiding maintenance of adaptive potential in managed populations.
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Affiliation(s)
- Amanda R. Stahlke
- Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83844, USA
| | - Brendan Epstein
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
| | - Soraia Barbosa
- Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83844, USA
- Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844, USA
| | - Mark J. Margres
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
- Department of Integrative Biology, University of South Florida, Tampa, FL 33620, USA
| | - Austin H. Patton
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
- Department of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, CA 94720, USA
| | - Sarah A. Hendricks
- Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83844, USA
| | - Anne Veillet
- Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83844, USA
| | - Alexandra K. Fraik
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
| | - Barbara Schönfeld
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7005, Australia
| | - Hamish I. McCallum
- Environmental Futures Research Institute, Griffith University, Nathan, Queensland 4111, Australia
| | - Rodrigo Hamede
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7005, Australia
| | - Menna E. Jones
- School of Natural Sciences, University of Tasmania, Hobart, Tasmania 7005, Australia
| | - Andrew Storfer
- School of Biological Sciences, Washington State University, Pullman, WA 99164, USA
| | - Paul A. Hohenlohe
- Institute for Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow, ID 83844, USA
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45
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Cao Y, Zhang DY, Zeng YF, Bai WN. Recent demographic histories of temperate deciduous trees inferred from microsatellite markers. BMC Ecol Evol 2021; 21:88. [PMID: 34006219 PMCID: PMC8130339 DOI: 10.1186/s12862-021-01805-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 04/23/2021] [Indexed: 11/17/2022] Open
Abstract
Background Accurate inference of demographic histories for temperate tree species can aid our understanding of current climate change as a driver of evolution. Microsatellites are more suitable for inferring recent historical events due to their high mutation rates. However, most programs analyzing microsatellite data assume a strict stepwise mutation model (SMM), which could cause false detection of population shrinkage when microsatellite mutation does not follow SMM. Results This study aims to reconstruct the recent demographic histories of five cool-temperate tree species in Eastern Asia, Quercus mongolica, Q. liaotungensis, Juglans cathayensis, J. mandshurica and J. ailantifolia, by using 19 microsatellite markers with two methods considering generalized stepwise mutation model (GSM) (MIGRAINE and VarEff). Both programs revealed that all the five species experienced expansions after the Last Glacial Maximum (LGM). Within butternuts, J. cathayensis experienced a more serious bottleneck than the other species, and within oaks, Q. mongolica showed a moderate increase in population size and remained stable after the expansion. In addition, the point estimates of the multistep mutation proportion in the GSM model (pGSM) for all five species were between 0.50 and 0.65, indicating that when inferring population demographic history of the cool-temperate forest species using microsatellite markers, it is better to assume a GSM rather than a SMM. Conclusions This study provides the first direct evidence that five cool-temperate tree species in East Asia have experienced expansions after the LGM with microsatellite data. Considering the mutation model of microsatellite has a vital influence on demographic inference, combining multiple programs such as MIGRAINE and VarEff can effectively reduce errors caused by inappropriate model selection and prior setting. Supplementary Information The online version contains supplementary material available at 10.1186/s12862-021-01805-w.
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Affiliation(s)
- Yu Cao
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Da-Yong Zhang
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yan-Fei Zeng
- State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China
| | - Wei-Ning Bai
- State Key Laboratory of Earth Surface Process and Resource Ecology and Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, College of Life Sciences, Beijing Normal University, Beijing, 100875, China.
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46
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Sin SYW, Hoover BA, Nevitt GA, Edwards SV. Demographic History, Not Mating System, Explains Signatures of Inbreeding and Inbreeding Depression in a Large Outbred Population. Am Nat 2021; 197:658-676. [PMID: 33989142 DOI: 10.1086/714079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
AbstractInbreeding depression is often found in small, inbred populations, but whether it can be detected in and have evolutionary consequences for large, wide-ranging populations is poorly known. Here, we investigate the possibility of inbreeding in a large population to determine whether mild levels of inbreeding can still have genetic and phenotypic consequences and how genomically widespread these effects can be. We apply genome-wide methods to investigate whether individual and parental heterozygosity is related to morphological, growth, or life-history traits in a pelagic seabird, Leach's storm-petrel (Oceanodroma leucorhoa). Examining 560 individuals as part of a multiyear study, we found a substantial effect of maternal heterozygosity on chick traits: chicks from less heterozygous (relatively inbred) mothers were significantly smaller than chicks from more heterozygous (noninbred) mothers. We show that these heterozygosity-fitness correlations were due to general genome-wide effects and demonstrate a correlation between heterozygosity and inbreeding, suggesting inbreeding depression. We used population genetic models to further show that the variance in inbreeding was probably due to past demographic events rather than the current mating system and ongoing mate choice. Our findings demonstrate that inbreeding depression can be observed in large populations and illustrate how the integration of genomic techniques and fieldwork can elucidate its underlying causes.
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47
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Sellinger TPP, Abu-Awad D, Tellier A. Limits and convergence properties of the sequentially Markovian coalescent. Mol Ecol Resour 2021; 21:2231-2248. [PMID: 33978324 DOI: 10.1111/1755-0998.13416] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 04/19/2021] [Accepted: 04/29/2021] [Indexed: 02/07/2023]
Abstract
Several methods based on the sequentially Markovian coalescent (SMC) make use of full genome sequence data from samples to infer population demographic history including past changes in population size, admixture, migration events and population structure. More recently, the original theoretical framework has been extended to allow the simultaneous estimation of population size changes along with other life history traits such as selfing or seed banking. The latter developments enhance the applicability of SMC methods to nonmodel species. Although convergence proofs have been given using simulated data in a few specific cases, an in-depth investigation of the limitations of SMC methods is lacking. In order to explore such limits, we first develop a tool inferring the best case convergence of SMC methods assuming the true underlying coalescent genealogies are known. This tool can be used to quantify the amount and type of information that can be confidently retrieved from given data sets prior to the analysis of the real data. Second, we assess the inference accuracy when the assumptions of SMC approaches are violated due to departures from the model, namely the presence of transposable elements, variable recombination and mutation rates along the sequence, and SNP calling errors. Third, we deliver a new interpretation of SMC methods by highlighting the importance of the transition matrix, which we argue can be used as a set of summary statistics in other statistical inference methods, uncoupling the SMC from hidden Markov models (HMMs). We finally offer recommendations to better apply SMC methods and build adequate data sets under budget constraints.
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Affiliation(s)
| | - Diala Abu-Awad
- Department of Life Science Systems, Technical University of Munich, Munchen, Germany
| | - Aurélien Tellier
- Department of Life Science Systems, Technical University of Munich, Munchen, Germany
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O’Hare JA, Momigliano P, Raftos DA, Stow AJ. Genetic structure and effective population size of Sydney rock oysters in eastern Australia. CONSERV GENET 2021. [DOI: 10.1007/s10592-021-01343-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zheng Z, Li Y, Li M, Li G, Du X, Hongyin H, Yin M, Lu Z, Zhang X, Shrestha N, Liu J, Yang Y. Whole-Genome Diversification Analysis of the Hornbeam Species Reveals Speciation and Adaptation Among Closely Related Species. FRONTIERS IN PLANT SCIENCE 2021; 12:581704. [PMID: 33643339 PMCID: PMC7902934 DOI: 10.3389/fpls.2021.581704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
Speciation is the key evolutionary process for generating biological diversity and has a central place in evolutionary and ecological research. How species diverge and adapt to different habitats is one of the most exciting areas in speciation studies. Here, we sequenced 55 individuals from three closely related species in the genus Carpinus: Carpinus tibetana, Carpinus monbeigiana, and Carpinus mollicoma to understand the strength and direction of gene flow and selection during the speciation process. We found low genetic diversity in C. tibetana, which reflects its extremely small effective population size. The speciation analysis between C. monbeigiana and C. mollicoma revealed that both species diverged ∼1.2 Mya with bidirectional gene flow. A total of 291 highly diverged genes, 223 copy number variants genes, and 269 positive selected genes were recovered from the two species. Genes associated with the diverged and positively selected regions were mainly involved in thermoregulation, plant development, and response to stress, which included adaptations to their habitats. We also found a great population decline and a low genetic divergence of C. tibetana, which suggests that this species is extremely vulnerable. We believe that the current diversification and adaption study and the important genomic resource sequenced herein will facilitate the speciation studies and serve as an important methodological reference for future research.
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Affiliation(s)
- Zeyu Zheng
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Ying Li
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Minjie Li
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Guiting Li
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Xin Du
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Hu Hongyin
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Mou Yin
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Zhiqiang Lu
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Kunming, China
| | - Xu Zhang
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Nawal Shrestha
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Jianquan Liu
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
| | - Yongzhi Yang
- State Key Laboratory of Grassland Agro-Ecosystem, Institute of Innovation Ecology and School of Life Sciences, Lanzhou University, Lanzhou, China
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Prada C, Hellberg ME. Speciation-by-depth on coral reefs: Sympatric divergence with gene flow or cryptic transient isolation? J Evol Biol 2021; 34:128-137. [PMID: 33140895 PMCID: PMC7894305 DOI: 10.1111/jeb.13731] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 07/21/2020] [Accepted: 09/29/2020] [Indexed: 12/30/2022]
Abstract
The distributions of many sister species in the sea overlap geographically but are partitioned along depth gradients. The genetic changes leading to depth segregation may evolve in geographic isolation as a prerequisite to coexistence or may emerge during primary divergence leading to new species. These alternatives can now be distinguished via the power endowed by the thousands of scorable loci provided by second-generation sequence data. Here, we revisit the case of two depth-segregated, genetically isolated ecotypes of the nominal Caribbean candelabrum coral Eunicea flexuosa. Previous analyses based on a handful of markers could not distinguish between models of genetic exchange after a period of isolation (consistent with secondary contact) and divergence with gene flow (consistent with primary divergence). Analyses of the history of isolation, genetic exchange and population size based on 15,640 new SNP markers derived from RNAseq data best support models where divergence began 800K BP and include epochs of divergence with gene flow, but with an intermediate period of transient isolation. Results also supported the previous conclusion that recent exchange between the ecotypes occurs asymmetrically from the Shallow lineage to the Deep. Parallel analyses of data from two other corals with depth-segregated populations (Agaricia fragilis and Pocillopora damicornis) suggest divergence leading to depth-segregated populations may begin with a period of symmetric exchange, but that an epoch of population isolation precedes more complete isolation marked by asymmetric introgression. Thus, while divergence-with-gene flow may account for much of the differentiation that separates closely related, depth-segregated species, it remains to be seen whether any critical steps in the speciation process only occur when populations are isolated.
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Affiliation(s)
- Carlos Prada
- Department of Biological SciencesUniversity of Rhode IslandKingstonRIUSA
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