Lecture 2 Phylogenetics of Fishes 1. Phylogenetic Systematics 2

Total Page:16

File Type:pdf, Size:1020Kb

Lecture 2 Phylogenetics of Fishes 1. Phylogenetic Systematics 2 Lecture 2 Phylogenetics of Fishes 1. Phylogenetic systematics 2. General fish evolution 3. Molecular systematics & Genetic approaches Charles Darwin & Alfred Russel Wallace All species are related through common descent 1809 - 1882 1823 - 1913 Willi Hennig (1913 – 1976) • Hennig developed cladistic method to infer relatedness • Goal is to correctly group ancestors and all their descendants Cladistics A clade: 1. All individuals descend from a single ancestor 2. All descendents of that ancestor are part of the clade Cladistics (a.k.a Phylogenetic Systematics) Fundamental approach • divide characters into two groups • Apomorphies: more recently derived characteristics • Plesiomorphies: more ancestral, primitive characteristics • Identify Synapomorphies (shared derived characteristics) • group clades by synapomorphies Cladistics (a.k.a Phylogenetic Systematics) eyes Synapomorphy of rockfish, gills bichir, and sharks? jaws bony skeleton swim bladder Bichir Rockfish Sharks Lamprey Hagfish Cladistics (a.k.a Phylogenetic Systematics) eyes “Ancestral” and “derived” are gills relative to your focal group jaws bony skeleton swim bladder Bichir Rockfish Sharks Lamprey Hagfish Cladistics (a.k.a Phylogenetic Systematics) Monophyletic (aka clade): all taxa are descended from a common ancestor that is not the ancestor of any other group (every taxa descended from that ancestor is included) examples? Cladistics (a.k.a Phylogenetic Systematics) Paraphyletic: the group does not contain all species descended from the most recent common ancestor of its members examples? Cladistics (a.k.a Phylogenetic Systematics) Polyphyletic: taxa are descended from several ancestors that are also the ancestors of taxa classified into other groups examples? Problems with Traditional Cladistics Homoplasies • traits evolved due to convergence - keel: stabilizes tail at high speeds Problems with Traditional Cladistics Statistically inconsistent • can lend more support for the wrong answer Bernal et al. 2001 Problems with Traditional Cladistics Unequal rates • lineages can evolve at different rates Cyprinidae Molecular Systematics & Genetic Approaches Compares similarities and differences in DNA sequences • identify informative sequences (aka synapomorphies) Different parts of the genome evolve at different rates • choose appropriate sequences to compare Address questions about biogeography & evolutionary history that traditional systematics can not African Cichlids & the Great African Rift Lakes Lake Victoria ~400-500 spp. Lake Tanganyika ~180-250 spp. Lake Malawi ~700-1000 spp. Parallel or Convergent Evolution? omnivore omnivore vegetarian vegetarian piscivorous piscivorous carnivore carnivore generalist generalist omnivore omnivore Parallel Evolution Lake Tanganyika Lake Malawi 3 common ancestors Convergent evolution Lake Tanganyika Lake Malawi 1 common ancestor 1 common ancestor Parallel Evolution Predicted Result Convergent evolution Predicted Result Lake Tanganyika Lake Malawi Molecular tree based on cytochrome b sequences 100 Victoria Haplochromines 100 Malawi Haplochromines Group A Malawi Haplochromines Group B 100 100 Astatoreochromis Tanganyika Julidochromis Tanganyika Lamprologus Myrs 6 4 2 0 Molecular Clock Calibration in Sharks • Fossils and geologic events • Calibrate sequence divergence • Establish molecular clock • ~7-8x slower than mammals Martin et al 1992 Evolution of Endothermy - monophyly or convergence? Molecular Systematics & Genetic Approaches Gene trees vs. species trees • gene trees don’t necessarily reflect the species tree The more gene trees you sample, the more likely you converge on the species tree red = gene tree blue = species tree Surfperches (Embiotocidae) 25 Surfperches (Embiotocidae) Longo & Bernardi 2015 Longo & Bernardi 2015 Surfperches (Embiotocidae) Bernardi & Bucciarelli 1999 Surfperches (Embiotocidae) LongoLongo & &Bernardi Bernardi 2015 2015 .
Recommended publications
  • 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.
    [Show full text]
  • Lecture Notes: the Mathematics of Phylogenetics
    Lecture Notes: The Mathematics of Phylogenetics Elizabeth S. Allman, John A. Rhodes IAS/Park City Mathematics Institute June-July, 2005 University of Alaska Fairbanks Spring 2009, 2012, 2016 c 2005, Elizabeth S. Allman and John A. Rhodes ii Contents 1 Sequences and Molecular Evolution 3 1.1 DNA structure . .4 1.2 Mutations . .5 1.3 Aligned Orthologous Sequences . .7 2 Combinatorics of Trees I 9 2.1 Graphs and Trees . .9 2.2 Counting Binary Trees . 14 2.3 Metric Trees . 15 2.4 Ultrametric Trees and Molecular Clocks . 17 2.5 Rooting Trees with Outgroups . 18 2.6 Newick Notation . 19 2.7 Exercises . 20 3 Parsimony 25 3.1 The Parsimony Criterion . 25 3.2 The Fitch-Hartigan Algorithm . 28 3.3 Informative Characters . 33 3.4 Complexity . 35 3.5 Weighted Parsimony . 36 3.6 Recovering Minimal Extensions . 38 3.7 Further Issues . 39 3.8 Exercises . 40 4 Combinatorics of Trees II 45 4.1 Splits and Clades . 45 4.2 Refinements and Consensus Trees . 49 4.3 Quartets . 52 4.4 Supertrees . 53 4.5 Final Comments . 54 4.6 Exercises . 55 iii iv CONTENTS 5 Distance Methods 57 5.1 Dissimilarity Measures . 57 5.2 An Algorithmic Construction: UPGMA . 60 5.3 Unequal Branch Lengths . 62 5.4 The Four-point Condition . 66 5.5 The Neighbor Joining Algorithm . 70 5.6 Additional Comments . 72 5.7 Exercises . 73 6 Probabilistic Models of DNA Mutation 81 6.1 A first example . 81 6.2 Markov Models on Trees . 87 6.3 Jukes-Cantor and Kimura Models .
    [Show full text]
  • Phylogeny of a Rapidly Evolving Clade: the Cichlid Fishes of Lake Malawi
    Proc. Natl. Acad. Sci. USA Vol. 96, pp. 5107–5110, April 1999 Evolution Phylogeny of a rapidly evolving clade: The cichlid fishes of Lake Malawi, East Africa (adaptive radiationysexual selectionyspeciationyamplified fragment length polymorphismylineage sorting) R. C. ALBERTSON,J.A.MARKERT,P.D.DANLEY, AND T. D. KOCHER† Department of Zoology and Program in Genetics, University of New Hampshire, Durham, NH 03824 Communicated by John C. Avise, University of Georgia, Athens, GA, March 12, 1999 (received for review December 17, 1998) ABSTRACT Lake Malawi contains a flock of >500 spe- sponsible for speciation, then we expect that sister taxa will cies of cichlid fish that have evolved from a common ancestor frequently differ in color pattern but not morphology. within the last million years. The rapid diversification of this Most attempts to determine the relationships among cichlid group has been attributed to morphological adaptation and to species have used morphological characters, which may be sexual selection, but the relative timing and importance of prone to convergence (8). Molecular sequences normally these mechanisms is not known. A phylogeny of the group provide the independent estimate of phylogeny needed to infer would help identify the role each mechanism has played in the evolutionary mechanisms. The Lake Malawi cichlids, however, evolution of the flock. Previous attempts to reconstruct the are speciating faster than alleles can become fixed within a relationships among these taxa using molecular methods have species (9, 10). The coalescence of mtDNA haplotypes found been frustrated by the persistence of ancestral polymorphisms within populations predates the origin of many species (11). In within species.
    [Show full text]
  • In Defence of the Three-Domains of Life Paradigm P.T.S
    van der Gulik et al. BMC Evolutionary Biology (2017) 17:218 DOI 10.1186/s12862-017-1059-z REVIEW Open Access In defence of the three-domains of life paradigm P.T.S. van der Gulik1*, W.D. Hoff2 and D. Speijer3* Abstract Background: Recently, important discoveries regarding the archaeon that functioned as the “host” in the merger with a bacterium that led to the eukaryotes, its “complex” nature, and its phylogenetic relationship to eukaryotes, have been reported. Based on these new insights proposals have been put forward to get rid of the three-domain Model of life, and replace it with a two-domain model. Results: We present arguments (both regarding timing, complexity, and chemical nature of specific evolutionary processes, as well as regarding genetic structure) to resist such proposals. The three-domain Model represents an accurate description of the differences at the most fundamental level of living organisms, as the eukaryotic lineage that arose from this unique merging event is distinct from both Archaea and Bacteria in a myriad of crucial ways. Conclusions: We maintain that “a natural system of organisms”, as proposed when the three-domain Model of life was introduced, should not be revised when considering the recent discoveries, however exciting they may be. Keywords: Eucarya, LECA, Phylogenetics, Eukaryogenesis, Three-domain model Background (English: domain) as a higher taxonomic level than The discovery that methanogenic microbes differ funda- regnum: introducing the three domains of cellular life, Ar- mentally from Bacteria such as Escherichia coli or Bacillus chaea, Bacteria and Eucarya. This paradigm was proposed subtilis constitutes one of the most important biological by Woese, Kandler and Wheelis in PNAS in 1990 [2].
    [Show full text]
  • Major Clades of Agaricales: a Multilocus Phylogenetic Overview
    Mycologia, 98(6), 2006, pp. 982–995. # 2006 by The Mycological Society of America, Lawrence, KS 66044-8897 Major clades of Agaricales: a multilocus phylogenetic overview P. Brandon Matheny1 Duur K. Aanen Judd M. Curtis Laboratory of Genetics, Arboretumlaan 4, 6703 BD, Biology Department, Clark University, 950 Main Street, Wageningen, The Netherlands Worcester, Massachusetts, 01610 Matthew DeNitis Vale´rie Hofstetter 127 Harrington Way, Worcester, Massachusetts 01604 Department of Biology, Box 90338, Duke University, Durham, North Carolina 27708 Graciela M. Daniele Instituto Multidisciplinario de Biologı´a Vegetal, M. Catherine Aime CONICET-Universidad Nacional de Co´rdoba, Casilla USDA-ARS, Systematic Botany and Mycology de Correo 495, 5000 Co´rdoba, Argentina Laboratory, Room 304, Building 011A, 10300 Baltimore Avenue, Beltsville, Maryland 20705-2350 Dennis E. Desjardin Department of Biology, San Francisco State University, Jean-Marc Moncalvo San Francisco, California 94132 Centre for Biodiversity and Conservation Biology, Royal Ontario Museum and Department of Botany, University Bradley R. Kropp of Toronto, Toronto, Ontario, M5S 2C6 Canada Department of Biology, Utah State University, Logan, Utah 84322 Zai-Wei Ge Zhu-Liang Yang Lorelei L. Norvell Kunming Institute of Botany, Chinese Academy of Pacific Northwest Mycology Service, 6720 NW Skyline Sciences, Kunming 650204, P.R. China Boulevard, Portland, Oregon 97229-1309 Jason C. Slot Andrew Parker Biology Department, Clark University, 950 Main Street, 127 Raven Way, Metaline Falls, Washington 99153- Worcester, Massachusetts, 01609 9720 Joseph F. Ammirati Else C. Vellinga University of Washington, Biology Department, Box Department of Plant and Microbial Biology, 111 355325, Seattle, Washington 98195 Koshland Hall, University of California, Berkeley, California 94720-3102 Timothy J.
    [Show full text]
  • Phylogenetics Topic 2: Phylogenetic and Genealogical Homology
    Phylogenetics Topic 2: Phylogenetic and genealogical homology Phylogenies distinguish homology from similarity Previously, we examined how rooted phylogenies provide a framework for distinguishing similarity due to common ancestry (HOMOLOGY) from non-phylogenetic similarity (ANALOGY). Here we extend the concept of phylogenetic homology by making a further distinction between a HOMOLOGOUS CHARACTER and a HOMOLOGOUS CHARACTER STATE. This distinction is important to molecular evolution, as we often deal with data comprised of homologous characters with non-homologous character states. The figure below shows three hypothetical protein-coding nucleotide sequences (for simplicity, only three codons long) that are related to each other according to a phylogenetic tree. In the figure the nucleotide sequences are aligned to each other; in so doing we are making the implicit assumption that the characters aligned vertically are homologous characters. In the specific case of nucleotide and amino acid alignments this assumption is called POSITIONAL HOMOLOGY. Under positional homology it is implicit that a given position, say the first position in the gene sequence, was the same in the gene sequence of the common ancestor. In the figure below it is clear that some positions do not have identical character states (see red characters in figure below). In such a case the involved position is considered to be a homologous character, while the state of that character will be non-homologous where there are differences. Phylogenetic perspective on homologous characters and homologous character states ACG TAC TAA SYNAPOMORPHY: a shared derived character state in C two or more lineages. ACG TAT TAA These must be homologous in state.
    [Show full text]
  • Phylogenetics of Buchnera Aphidicola Munson Et Al., 1991
    Türk. entomol. derg., 2019, 43 (2): 227-237 ISSN 1010-6960 DOI: http://dx.doi.org/10.16970/entoted.527118 E-ISSN 2536-491X Original article (Orijinal araştırma) Phylogenetics of Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae) based on 16S rRNA amplified from seven aphid species1 Farklı yaprak biti türlerinden izole edilen Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae)’nın 16S rRNA’ya göre filogenetiği Gül SATAR2* Abstract The obligate symbiont, Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae) is important for the physiological processes of aphids. Buchnera aphidicola genes detected in seven aphid species, collected in 2017 from different plants and altitudes in Adana Province, Turkey were analyzed to reveal phylogenetic interactions between Buchnera and aphids. The 16S rRNA gene was amplified and sequenced for this purpose and a phylogenetic tree built up by the neighbor-joining method. A significant correlation between B. aphidicola genes and the aphid species was revealed by this phylogenetic tree and the haplotype network. Specimens collected in Feke from Solanum melongena L. was distinguished from the other B. aphidicola genes on Aphis gossypii Glover, 1877 (Hemiptera: Aphididae) with a high bootstrap value of 99. Buchnera aphidicola in Myzus spp. was differentiated from others, and the difference between Myzus cerasi (Fabricius, 1775) and Myzus persicae (Sulzer, 1776) was clear. Although, B. aphidicola is specific to its host aphid, certain nucleotide differences obtained within the species could enable specification to geographic region or host plant in the future. Keywords: Aphid, genetic similarity, phylogenetics, symbiotic bacterium Öz Obligat simbiyont, Buchnera aphidicola Munson et al., 1991 (Enterobacteriales: Enterobacteriaceae), yaprak bitlerinin fizyolojik olaylarının sürdürülmesinde önemli bir rol oynar.
    [Show full text]
  • Introductory Activities
    TEACHER’S GUIDE Introduction Dean Madden Introductory NCBE, University of Reading activities Version 1.0 CaseCase Studies introduction Introductory activities The activities in this section explain the basic principles behind the construction of phylogenetic trees, DNA structure and sequence alignment. Students are also intoduced to the Geneious software. Before carrying out the activities in the DNA to Darwin Case studies, students will need to understand: • the basic principles behind the construction of an evolutionary tree or phylogeny; • the basic structure of DNA and proteins; • the reasons for and the principle of alignment; • use of some features of the Geneious computer software (basic version). The activities in this introduction are designed to achieve this. Some of them will reinforce what students may already know; others involve new concepts. The material includes extension activities for more able students. Evolutionary trees In 1837, 12 years before the publication of On the Origin of Species, Charles Darwin famously drew an evolutionary tree in one of his notebooks. The Origin also included a diagram of an evolutionary tree — the only illustration in the book. Two years before, Darwin had written to his friend Thomas Henry Huxley, saying: ‘The time will come, I believe, though I shall not live to see it, when we shall have fairly true genealogical trees of each great kingdom of Nature.’ Today, scientists are trying to produce the ‘Tree of Life’ Darwin foresaw, using protein, DNA and RNA sequence data. Evolutionary trees are covered on pages 2–7 of the Student’s guide and in the PowerPoint and Keynote slide presentations.
    [Show full text]
  • 1 "Principles of Phylogenetics: Ecology
    "PRINCIPLES OF PHYLOGENETICS: ECOLOGY AND EVOLUTION" Integrative Biology 200 Spring 2016 University of California, Berkeley D.D. Ackerly March 7, 2016. Phylogenetics and Adaptation What is to be explained? • What is the evolutionary history of trait x that we see in a lineage (homology) or multiple lineages (homoplasy) - adaptations as states • Is natural selection the primary evolutionary process leading to the ‘fit’ of organisms to their environment? • Why are some traits more prevalent (occur in more species): number of origins vs. trait- dependent diversification rates (speciation – extinction) Some high points in the history of the adaptation debate: 1950s • Modern Synthesis of Genetics (Dobzhansky), Paleontology (Simpson) and Systematics (Mayr, Grant) 1960s • Rise of evolutionary ecology – synthesis of ecology with strong adaptationism via optimality theory, with little to no history; leads to Sociobiology in the 70s • Appearance of cladistics (Hennig) 1972 • Eldredge and Gould – punctuated equilibrium – argue that Modern Synthesis can’t explain pervasive observation of stasis in fossil record; Gould focuses on development and constraint as explanations, Eldredge more on ecology and importance of migration to minimize selective pressure 1979 • Gould and Lewontin – Spandrels – general critique of adaptationist program and call for rigorous hypothesis testing of alternatives for the ‘fit’ between organism and environment 1980’s • Debate on whether macroevolution can be explained by microevolutionary processes • Comparative methods
    [Show full text]
  • Phylogenetic Comparative Methods: a User's Guide for Paleontologists
    Phylogenetic Comparative Methods: A User’s Guide for Paleontologists Laura C. Soul - Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA David F. Wright - Division of Paleontology, American Museum of Natural History, Central Park West at 79th Street, New York, New York 10024, USA and Department of Paleobiology, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA Abstract. Recent advances in statistical approaches called Phylogenetic Comparative Methods (PCMs) have provided paleontologists with a powerful set of analytical tools for investigating evolutionary tempo and mode in fossil lineages. However, attempts to integrate PCMs with fossil data often present workers with practical challenges or unfamiliar literature. In this paper, we present guides to the theory behind, and application of, PCMs with fossil taxa. Based on an empirical dataset of Paleozoic crinoids, we present example analyses to illustrate common applications of PCMs to fossil data, including investigating patterns of correlated trait evolution, and macroevolutionary models of morphological change. We emphasize the importance of accounting for sources of uncertainty, and discuss how to evaluate model fit and adequacy. Finally, we discuss several promising methods for modelling heterogenous evolutionary dynamics with fossil phylogenies. Integrating phylogeny-based approaches with the fossil record provides a rigorous, quantitative perspective to understanding key patterns in the history of life. 1. Introduction A fundamental prediction of biological evolution is that a species will most commonly share many characteristics with lineages from which it has recently diverged, and fewer characteristics with lineages from which it diverged further in the past. This principle, which results from descent with modification, is one of the most basic in biology (Darwin 1859).
    [Show full text]
  • The Caper Package: Comparative Analysis of Phylogenetics and Evolution in R
    The caper package: comparative analysis of phylogenetics and evolution in R David Orme April 16, 2018 This vignette documents the use of the caper package for R (R Development Core Team, 2011) in carrying out a range of comparative analysis methods for phylogenetic data. The caper package, and the code in this vignette, requires the ape package (Paradis et al., 2004) along with the packages mvtnorm and MASS. Contents 1 Background 2 2 Comparative datasets 3 2.1 The comparative.data class and objects. .3 2.1.1 na.omit ......................................3 2.1.2 subset ......................................5 2.1.3 [ ..........................................5 2.2 Example datasets . .6 3 Methods and functions provided by caper. 7 3.0.1 Phylogenetic linear models . .7 3.0.2 Fitting phylogenetic GLS models: pgls ....................8 3.1 Optimising branch length transformations: profile.pgls...............9 3.1.1 Criticism and simplification ofpgls models: plot, anova and AIC...... 11 3.2 Phylogenetic independent contrasts . 12 3.2.1 Variable names in contrast functions . 12 3.2.2 Continuous variables: crunch .......................... 13 3.2.3 Categorical variables: brunch .......................... 13 3.2.4 Species richness contrasts: macrocaic ..................... 14 3.2.5 Phylogenetic signal: phylo.d .......................... 15 3.3 Checking and comparing contrast models. 16 3.3.1 Testing evolutionary assumptions: caic.diagnostics............. 16 3.3.2 Robust contrasts: caic.robust ......................... 17 3.3.3 Model criticism: plot .............................. 19 3.3.4 Model comparison: anova & AIC ........................ 20 3.4 Other comparative functions . 21 3.4.1 Tree imbalance: fusco.test .......................... 21 3.5 Phylogenetic diversity: pd.calc, pd.bootstrap and ed.calc............
    [Show full text]
  • Early Tetrapod Relationships Revisited
    Biol. Rev. (2003), 78, pp. 251–345. f Cambridge Philosophical Society 251 DOI: 10.1017/S1464793102006103 Printed in the United Kingdom Early tetrapod relationships revisited MARCELLO RUTA1*, MICHAEL I. COATES1 and DONALD L. J. QUICKE2 1 The Department of Organismal Biology and Anatomy, The University of Chicago, 1027 East 57th Street, Chicago, IL 60637-1508, USA ([email protected]; [email protected]) 2 Department of Biology, Imperial College at Silwood Park, Ascot, Berkshire SL57PY, UK and Department of Entomology, The Natural History Museum, Cromwell Road, London SW75BD, UK ([email protected]) (Received 29 November 2001; revised 28 August 2002; accepted 2 September 2002) ABSTRACT In an attempt to investigate differences between the most widely discussed hypotheses of early tetrapod relation- ships, we assembled a new data matrix including 90 taxa coded for 319 cranial and postcranial characters. We have incorporated, where possible, original observations of numerous taxa spread throughout the major tetrapod clades. A stem-based (total-group) definition of Tetrapoda is preferred over apomorphy- and node-based (crown-group) definitions. This definition is operational, since it is based on a formal character analysis. A PAUP* search using a recently implemented version of the parsimony ratchet method yields 64 shortest trees. Differ- ences between these trees concern: (1) the internal relationships of aı¨stopods, the three selected species of which form a trichotomy; (2) the internal relationships of embolomeres, with Archeria
    [Show full text]