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Ecological Correlates of Ghost Lineages in Ruminants
Paleobiology, 38(1), 2012, pp. 101–111 Ecological correlates of ghost lineages in ruminants Juan L. Cantalapiedra, Manuel Herna´ndez Ferna´ndez, Gema M. Alcalde, Beatriz Azanza, Daniel DeMiguel, and Jorge Morales Abstract.—Integration between phylogenetic systematics and paleontological data has proved to be an effective method for identifying periods that lack fossil evidence in the evolutionary history of clades. In this study we aim to analyze whether there is any correlation between various ecomorphological variables and the duration of these underrepresented portions of lineages, which we call ghost lineages for simplicity, in ruminants. Analyses within phylogenetic (Generalized Estimating Equations) and non-phylogenetic (ANOVAs and Pearson correlations) frameworks were performed on the whole phylogeny of this suborder of Cetartiodactyla (Mammalia). This is the first time ghost lineages are focused in this way. To test the robustness of our data, we compared the magnitude of ghost lineages among different continents and among phylogenies pruned at different ages (4, 8, 12, 16, and 20 Ma). Differences in mean ghost lineage were not significantly related to either geographic or temporal factors. Our results indicate that the proportion of the known fossil record in ruminants appears to be influenced by the preservation potential of the bone remains in different environments. Furthermore, large geographical ranges of species increase the likelihood of preservation. Juan L. Cantalapiedra, Gema Alcalde, and Jorge Morales. Departamento de Paleobiologı´a, Museo Nacional de Ciencias Naturales, UCM-CSIC, Pinar 25, 28006 Madrid, Spain. E-mail: [email protected] Manuel Herna´ndez Ferna´ndez. Departamento de Paleontologı´a, Facultad de Ciencias Geolo´gicas, Universidad Complutense de Madrid y Departamento de Cambio Medioambiental, Instituto de Geociencias, Consejo Superior de Investigaciones Cientı´ficas, Jose´ Antonio Novais 2, 28040 Madrid, Spain Daniel DeMiguel. -
Population Genomic Analysis Reveals That Homoploid Hybrid Speciation Can Speciation Hybrid Homoploid Reveals That Analysis Genomic Population E Origin
PROF. YONGSHUAI SUN (Orcid ID : 0000-0002-6926-8406) PROF. JIANQUAN LIU (Orcid ID : 0000-0002-4237-7418) Population genomic analysis reveals that homoploid hybrid speciation can be a lengthy process Dafu Ru1 *, Yongshuai Sun1,2*, Donglei Wang1*, Yang Chen1, Tianjing Wang1, Quanjun Hu1, Richard J. Abbott3, Jianquan Liu1# 1Key Laboratory for Bio-resource and Eco-environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu 610065, P. R. China 2CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla 666303, P. R. China 3School of Biology, Mitchell Building, University of St Andrews, St Andrews, Fife KY16 9TH, UK Article *equal contributions to this work; #corresponding author ([email protected]) Abstract An increasing number of species are thought to have originated by homoploid hybrid speciation (HHS), but in only a handful of cases are details of the process known. A previous study indicated that Picea purpurea, a conifer in the Qinghai-Tibet Plateau (QTP), originated through HHS from P. likiangensis and P. wilsonii. To investigate this origin in more detail we analyzed transcriptome data for 114 individuals collected from 34 populations of the three Picea species from their core distributions in the QTP. Phylogenetic, principal component and admixture analyses of nuclear SNPs showed the species to be delimited genetically and that P. purpurea was admixed with approximately 60% of its ancestry derived from P. wilsonii and 40% from P. likiangensis. Coalescent simulations revealed the best-fitting model of origin involved formation of an intermediate hybrid lineage between P. likiangensis and P. -
Miocene Mammal Reveals a Mesozoic Ghost Lineage on Insular New Zealand, Southwest Pacific
Miocene mammal reveals a Mesozoic ghost lineage on insular New Zealand, southwest Pacific Trevor H. Worthy*†, Alan J. D. Tennyson‡, Michael Archer§, Anne M. Musser¶, Suzanne J. Hand§, Craig Jonesʈ, Barry J. Douglas**, James A. McNamara††, and Robin M. D. Beck§ *School of Earth and Environmental Sciences, Darling Building DP 418, Adelaide University, North Terrace, Adelaide 5005, South Australia, Australia; ‡Museum of New Zealand Te Papa Tongarewa, P.O. Box 467, Wellington 6015, New Zealand; §School of Biological, Earth and Environmental Sciences, University of New South Wales, New South Wales 2052, Australia; ¶Australian Museum, 6-8 College Street, Sydney, New South Wales 2010, Australia; ʈInstitute of Geological and Nuclear Sciences, P.O. Box 30368, Lower Hutt 5040, New Zealand; **Douglas Geological Consultants, 14 Jubilee Street, Dunedin 9011, New Zealand; and ††South Australian Museum, Adelaide, South Australia 5000, Australia Edited by James P. Kennett, University of California, Santa Barbara, CA, and approved October 11, 2006 (sent for review July 8, 2006) New Zealand (NZ) has long been upheld as the archetypical Ma) dinosaur material (13) and isolated moa bones from marine example of a land where the biota evolved without nonvolant sediments up to 2.5 Ma (1, 14), the terrestrial record older than terrestrial mammals. Their absence before human arrival is mys- 1 Ma is extremely limited. Until now, there has been no direct terious, because NZ was still attached to East Antarctica in the Early evidence for the pre-Pleistocene presence in NZ of any of its Cretaceous when a variety of terrestrial mammals occupied the endemic vertebrate lineages, particularly any group of terrestrial adjacent Australian portion of Gondwana. -
The Biogeography of Large Islands, Or How Does the Size of the Ecological Theater Affect the Evolutionary Play
The biogeography of large islands, or how does the size of the ecological theater affect the evolutionary play Egbert Giles Leigh, Annette Hladik, Claude Marcel Hladik, Alison Jolly To cite this version: Egbert Giles Leigh, Annette Hladik, Claude Marcel Hladik, Alison Jolly. The biogeography of large islands, or how does the size of the ecological theater affect the evolutionary play. Revue d’Ecologie, Terre et Vie, Société nationale de protection de la nature, 2007, 62, pp.105-168. hal-00283373 HAL Id: hal-00283373 https://hal.archives-ouvertes.fr/hal-00283373 Submitted on 14 Dec 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. THE BIOGEOGRAPHY OF LARGE ISLANDS, OR HOW DOES THE SIZE OF THE ECOLOGICAL THEATER AFFECT THE EVOLUTIONARY PLAY? Egbert Giles LEIGH, Jr.1, Annette HLADIK2, Claude Marcel HLADIK2 & Alison JOLLY3 RÉSUMÉ. — La biogéographie des grandes îles, ou comment la taille de la scène écologique infl uence- t-elle le jeu de l’évolution ? — Nous présentons une approche comparative des particularités de l’évolution dans des milieux insulaires de différentes surfaces, allant de la taille de l’île de La Réunion à celle de l’Amé- rique du Sud au Pliocène. -
A Longitudinal Genetic Survey Identifies Temporal Shifts in the Population
Heredity (2016) 117, 259–267 & 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 0018-067X/16 www.nature.com/hdy ORIGINAL ARTICLE A longitudinal genetic survey identifies temporal shifts in the population structure of Dutch house sparrows L Cousseau1, M Husemann2, R Foppen3,4, C Vangestel1,5 and L Lens1 Dutch house sparrow (Passer domesticus) densities dropped by nearly 50% since the early 1980s, and similar collapses in population sizes have been reported across Europe. Whether, and to what extent, such relatively recent demographic changes are accompanied by concomitant shifts in the genetic population structure of this species needs further investigation. Therefore, we here explore temporal shifts in genetic diversity, genetic structure and effective sizes of seven Dutch house sparrow populations. To allow the most powerful statistical inference, historical populations were resampled at identical locations and each individual bird was genotyped using nine polymorphic microsatellites. Although the demographic history was not reflected by a reduction in genetic diversity, levels of genetic differentiation increased over time, and the original, panmictic population (inferred from the museum samples) diverged into two distinct genetic clusters. Reductions in census size were supported by a substantial reduction in effective population size, although to a smaller extent. As most studies of contemporary house sparrow populations have been unable to identify genetic signatures of recent population declines, results of this study underpin the importance of longitudinal genetic surveys to unravel cryptic genetic patterns. Heredity (2016) 117, 259–267; doi:10.1038/hdy.2016.38; published online 8 June 2016 INTRODUCTION demographic population growth and increased genetic variation as Rapid land use changes, most severely the loss or fragmentation of a result of gene flow (Hanski and Gilpin, 1991; Clobert et al.,2001). -
CATAIR Appendix
CBP and Trade Automated Interface Requirements Appendix: PGA July 24, 2019 Contents Table of Changes .................................................................................................................................................... 4 PG01 – Agency Program Codes ........................................................................................................................... 16 PG01 – Government Agency Processing Codes ................................................................................................... 20 PG01 – Electronic Image Submitted Codes.......................................................................................................... 24 PG01 – Globally Unique Product Identification Code Qualifiers ........................................................................ 24 PG01 – Correction Indicators* ............................................................................................................................. 24 PG02 – Product Code Qualifiers........................................................................................................................... 25 PG04 – Units of Measure ...................................................................................................................................... 27 PG05 – Scientific Species Code ........................................................................................................................... 28 PG05 – FWS Wildlife Description Codes ........................................................................................................... -
Whole Genome Shotgun Phylogenomics Resolves the Pattern
Whole genome shotgun phylogenomics resolves the pattern and timing of swallowtail butterfly evolution Rémi Allio, Celine Scornavacca, Benoit Nabholz, Anne-Laure Clamens, Felix Sperling, Fabien Condamine To cite this version: Rémi Allio, Celine Scornavacca, Benoit Nabholz, Anne-Laure Clamens, Felix Sperling, et al.. Whole genome shotgun phylogenomics resolves the pattern and timing of swallowtail butterfly evolution. Systematic Biology, Oxford University Press (OUP), 2020, 69 (1), pp.38-60. 10.1093/sysbio/syz030. hal-02125214 HAL Id: hal-02125214 https://hal.archives-ouvertes.fr/hal-02125214 Submitted on 10 May 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Running head Shotgun phylogenomics and molecular dating Title proposal Downloaded from https://academic.oup.com/sysbio/advance-article-abstract/doi/10.1093/sysbio/syz030/5486398 by guest on 07 May 2019 Whole genome shotgun phylogenomics resolves the pattern and timing of swallowtail butterfly evolution Authors Rémi Allio1*, Céline Scornavacca1,2, Benoit Nabholz1, Anne-Laure Clamens3,4, Felix -
Bayesian Analysis of Evolutionary Divergence with Genomic Data
bioRxiv preprint doi: https://doi.org/10.1101/080606; this version posted October 12, 2016. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. i \MIST" | 2016/10/12 | 16:46 | page 1 | #1 i i i Bayesian Analysis of Evolutionary Divergence with Genomic Data Under Diverse Demographic Models Yujin Chung,∗ Jody Hey 1Center for Computational Genetics and Genomics, 2Biology Department, Temple University, 1900 North 12th Street Philadelphia, PA 19122, USA ∗Corresponding author: E-mail: [email protected]. Associate Editor: Abstract We present a new Bayesian method for estimating demographic and phylogenetic history using population genomic data. Several key innovations are introduced that allow the study of diverse models within an Isolation with Migration framework. For the Markov chain Monte Carlo (MCMC) phase of the analysis, we use a reduced state space, consisting of simple coalescent trees without migration paths, and a simple importance sampling distribution without demography. Migration paths are analytically integrated using a Markov chain as a representation of genealogy. The new method is scalable to a large number of loci with excellent MCMC mixing properties. Once obtained, a single sample of trees is used to calculate the joint posterior density for model parameters under multiple diverse demographic models, without having to repeat MCMC runs. As implemented in the computer program MIST, we demonstrate the accuracy, scalability and other advantages of the new method using simulated data and DNA sequences of two common chimpanzee subspecies: Pan troglodytes troglodytes (P. -
Introgression Makes Waves in Inferred Histories of Effective Population Size John Hawks University of Wisconsin-Madison, [email protected]
Wayne State University Human Biology Open Access Pre-Prints WSU Press 10-18-2017 Introgression Makes Waves in Inferred Histories of Effective Population Size John Hawks University of Wisconsin-Madison, [email protected] Recommended Citation Hawks, John, "Introgression Makes Waves in Inferred Histories of Effective Population Size" (2017). Human Biology Open Access Pre- Prints. 120. http://digitalcommons.wayne.edu/humbiol_preprints/120 This Article is brought to you for free and open access by the WSU Press at DigitalCommons@WayneState. It has been accepted for inclusion in Human Biology Open Access Pre-Prints by an authorized administrator of DigitalCommons@WayneState. Introgression Makes Waves in Inferred Histories of Effective Population Size John Hawks1* 1Department of Anthropology, University of Wisconsin–Madison, Madison, Wisconsin. *Correspondence to: John Hawks, Department of Anthropology, University of Wisconsin– Madison, 5325 Sewell, Social Science Building, Madison, Wisconsin 53706. E-mail: [email protected]. KEY WORDS: DEMOGRAPHY, ARCHAIC HUMANS, PSMC, GENE FLOW, POPULATION GROWTH Abstract Human populations have a complex history of introgression and of changing population size. Human genetic variation has been affected by both these processes, so that inference of past population size depends upon the pattern of gene flow and introgression among past populations. One remarkable aspect of human population history as inferred from genetics is a consistent “wave” of larger effective population size, found in both African and non-African populations, that appears to reflect events prior to the last 100,000 years. Here I carry out a series of simulations to investigate how introgression and gene flow from genetically divergent ancestral populations affect the inference of ancestral effective population size. -
Ancient Hybridization with an Unknown Population Facilitated
Ancient Hybridization with an Unknown Population Facilitated High-Altitude Adaptation of Canids Ming-Shan Wang,†,1,2,3,4 Sheng Wang,†,1,2 Yan Li,†,5 Yadvendradev Jhala,†,6 Mukesh Thakur,†,7 Newton O. Otecko,1,2 Jing-Fang Si,8 Hong-Man Chen,1 Beth Shapiro,*,3,4 Rasmus Nielsen ,*,9,10 Ya-Ping Zhang,*,1,5,11 and Dong-Dong Wu*,1,11 1State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China Downloaded from https://academic.oup.com/mbe/article/37/9/2616/5834723 by University of California, Santa Cruz user on 02 November 2020 2Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China 3Howard Hughes Medical Institute, University of California Santa Cruz, Santa Cruz, CA 4Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA 5State Key Laboratory for Conservation and Utilization of Bio-Resource, Yunnan University, Kunming, China 6Wildlife Institute of India, Chandrabani, Dehradun, Uttarakhand, India 7Zoological Survey of India, New Alipore, Kolkata, West Bengal, India 8Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture of China, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China 9Departments of Integrative Biology and Statistics, University of California Berkeley, Berkeley, CA 10Globe Institute, University of Copenhagen, Copenhagen, Denmark 11Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China †These authors contributed equally to this work. Corresponding authors: E-mails: [email protected]; [email protected]; [email protected] z.ac.cn; [email protected]. -
Global Invasion History of the Tropical Fire Ant: a Stowaway on the First
Molecular Ecology (2015) 24, 374–388 doi: 10.1111/mec.13040 Global invasion history of the tropical fire ant: a stowaway on the first global trade routes DIETRICH GOTZEK,*† 1 HEATHER J. AXEN,‡ 1 ANDREW V. SUAREZ,* SARA HELMS CAHAN‡ and DEWAYNE SHOEMAKER§ *Department of Animal Biology and Department of Entomology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA, †Department of Entomology, National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA, ‡Department of Biology, University of Vermont, Burlington, VT 05405, USA, §CMAVE, USDA-ARS, Gainesville, FL 32608, USA Abstract Biological invasions are largely thought to be contemporary, having recently increased sharply in the wake of globalization. However, human commerce had already become global by the mid-16th century when the Spanish connected the New World with Eur- ope and Asia via their Manila galleon and West Indies trade routes. We use genetic data to trace the global invasion of one of the world’s most widespread and invasive pest ants, the tropical fire ant, Solenopsis geminata. Our results reveal a pattern of introduction of Old World populations that is highly consistent with historical trading routes suggesting that Spanish trade introduced the tropical fire ant to Asia in the 16th century. We identify southwestern Mexico as the most likely source for the invasive populations, which is consistent with the use of Acapulco as the major Spanish port on the Pacific Ocean. From there, the Spanish galleons brought silver to Manila, which served as a hub for trade with China. The genetic data document a corresponding spread of S. -
IB 200A Principals of Phylogenetic Systematics Spring 2008
IB 200A Principals of Phylogenetic Systematics Spring 2008 Integrating Fossils into Phylogenies Throughout the 20th century, the relationship between paleontology and evolutionary biology has been strained. Two common answers are: (1) the two fields have fundamentally different aims, and (2) the tensions arise out of disciplinary squabbles for funding and prestige. Principal differences between neontology and paleobiology Neontological evolutionary Evolutionary paleobiology biology Focus of study Living organisms Fossil remains of organisms Temporal Shorter term: Typically longer term: perspective 10−2 – 103 years 103 – 107 years Theory Models of natural selection and Relies on broader neo-darwinian Speciation, generally articulated theory; rarely uses population in terms of population or genetic theory. Some distinctively quantitative genetics paleobiological theory (e.g., taphonomy) Methods Greater emphasis on Less emphasis on experiments experiments Data Emphasizes genetic data Extremely limited access to and population structure genetic data and population structure John Maynard Smith (1920-2004) – British evolutionary biologist and geneticist; evolution of sex, game theory in evolution, and signaling theory. Smith, J. M. (1984). ""Paleontology at the high table.". Nature 309 (5967): 401-402. Hennig – Character phylogeny (polarity). “Criterion of geological character precedence. If in a a monophyletic group a particular character condition occurs only in older fossils, and another only in younger fossils, then obviously the former is pleisomorphous and the latter the apomorphous condition.” Hennig goes on to discuss paleontological methods of phylogenetic systematics. During much of the 19th and 20th centuries, palaeontology was often considered as fundamental for understanding relationships amongst extant taxa. Then, in the late 1970s and early 1980s, with the advent of cladistics, the supremacy of fossils in phylogentic reconstruction was forcefully and successfully challenged.